Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Apr 11, 2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
Jul 03, 2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
May 15, 2023
Full time
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
Royal Society of Biology
Remote mostly, occasional visits to London office
1 day/week, for indefinite duration. £400-£500/day incl., depending on demonstrated expertise. Reports to the Director of Technology.
Key tasks in this role:
(1) Developing and maintaining in-depth knowledge of the ins and outs of our core business systems and services as part of our business continuity plan – being there if the Director of Technology is unavailable.
(2) Providing some general application and user support for our day-to-day operations, for our extensive in-house developed suite of cloud bases applications and platforms. This involves helping to support users and respond to some support queries.
The main focus of this role is really on the business continuity aspect . As such, it may at first sight be a bit strange that we specifically also want this role to involve some user support tasks. We understand our prime target candidates probably don’t see themselves primarily as a user support person. However, we feel that, realistically, it would be impossible to step in at short notice without being properly familiar with the organisation, its people and its day-to-day concerns and workings.
Just for clarity, in this role the candidate will not be writing code for us or designing our solutions and they will therefore be expected to work within the operational and strategic vision as set out by the Director and with the systems and services we have. We want to be clear about these constraints to avoid any future disappointment or disagreement.
In this role, the candidate will most of the time be able to work from home/remotely, but will be required to attend our London office as required to carry out in-person or on-site duties and meetings occasionally.
Our systems and services make heavy (and increasing) use of the AWS cloud, including services such as EC2, SES, IAM, Lambda, API Gateway, CloudFront.
As stated above, a key part of the role is to become intimately familiar with the ins and outs of the core business systems and services as part of our business continuity planning.
In terms of the skills, abilities and experience that we see as important for this role:
Substantial and proven experience in managing AWS resources, including EC2, S3, IAM, SES, Lambda, DynamoDB,…
Detailed understanding of the Windows environment, including desktop and server OS, Active Directory with Group Policy and Windows Server management.
In-depth understanding of core network technologies such as DHCP, DNS, RADIUS, …
Decent experience in managing Office365 email services.
A good grasp of good security and data protection practice.
Exposure to languages such as PHP, Javascript and node.js and decent expertise with MySQL databases is beneficial.
Some real-world experience with programming in the area of web/cloud applications would be an added benefit, but not an absolute requirement.
With regard to the sort of personality we are am looking for:
Someone friendly and good at engaging with people at all levels and in all functions.
Someone who communicates effectively and in a constructive manner.
Someone who operates at all times with the highest degree of integrity and honesty.
Someone who is organised and methodical.
The Royal Society of Biology is a single unified voice for biology: advising Government and influencing policy; advancing education and professional development; supporting our members, and engaging and encouraging public interest in the life sciences. The Society represents a diverse membership of individuals, learned societies and other organisations.
Individual members include practising scientists, students at all levels, professionals in academia, industry and education, and non-professionals with an interest in biology.
Our vision is of a world that understands the true value of biology and how it can contribute to improving life for all.
Our mission is to be the unifying voice for biology, to facilitate the promotion of new discoveries in biological science for national and international benefit, and to engage the wider public with our work.
Oct 05, 2022
Contractor
1 day/week, for indefinite duration. £400-£500/day incl., depending on demonstrated expertise. Reports to the Director of Technology.
Key tasks in this role:
(1) Developing and maintaining in-depth knowledge of the ins and outs of our core business systems and services as part of our business continuity plan – being there if the Director of Technology is unavailable.
(2) Providing some general application and user support for our day-to-day operations, for our extensive in-house developed suite of cloud bases applications and platforms. This involves helping to support users and respond to some support queries.
The main focus of this role is really on the business continuity aspect . As such, it may at first sight be a bit strange that we specifically also want this role to involve some user support tasks. We understand our prime target candidates probably don’t see themselves primarily as a user support person. However, we feel that, realistically, it would be impossible to step in at short notice without being properly familiar with the organisation, its people and its day-to-day concerns and workings.
Just for clarity, in this role the candidate will not be writing code for us or designing our solutions and they will therefore be expected to work within the operational and strategic vision as set out by the Director and with the systems and services we have. We want to be clear about these constraints to avoid any future disappointment or disagreement.
In this role, the candidate will most of the time be able to work from home/remotely, but will be required to attend our London office as required to carry out in-person or on-site duties and meetings occasionally.
Our systems and services make heavy (and increasing) use of the AWS cloud, including services such as EC2, SES, IAM, Lambda, API Gateway, CloudFront.
As stated above, a key part of the role is to become intimately familiar with the ins and outs of the core business systems and services as part of our business continuity planning.
In terms of the skills, abilities and experience that we see as important for this role:
Substantial and proven experience in managing AWS resources, including EC2, S3, IAM, SES, Lambda, DynamoDB,…
Detailed understanding of the Windows environment, including desktop and server OS, Active Directory with Group Policy and Windows Server management.
In-depth understanding of core network technologies such as DHCP, DNS, RADIUS, …
Decent experience in managing Office365 email services.
A good grasp of good security and data protection practice.
Exposure to languages such as PHP, Javascript and node.js and decent expertise with MySQL databases is beneficial.
Some real-world experience with programming in the area of web/cloud applications would be an added benefit, but not an absolute requirement.
With regard to the sort of personality we are am looking for:
Someone friendly and good at engaging with people at all levels and in all functions.
Someone who communicates effectively and in a constructive manner.
Someone who operates at all times with the highest degree of integrity and honesty.
Someone who is organised and methodical.
The Royal Society of Biology is a single unified voice for biology: advising Government and influencing policy; advancing education and professional development; supporting our members, and engaging and encouraging public interest in the life sciences. The Society represents a diverse membership of individuals, learned societies and other organisations.
Individual members include practising scientists, students at all levels, professionals in academia, industry and education, and non-professionals with an interest in biology.
Our vision is of a world that understands the true value of biology and how it can contribute to improving life for all.
Our mission is to be the unifying voice for biology, to facilitate the promotion of new discoveries in biological science for national and international benefit, and to engage the wider public with our work.
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. ?We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity/adoption/shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
May 02, 2024
Full time
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. ?We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity/adoption/shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
May 02, 2024
Full time
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Senior Software Engineer (Python) Location: London - Hybrid (Three Days a Week in Office) Salary: Up to £70,000 + Benefits Overview: An exciting opportunity awaits a Senior Software Engineer to join a rapidly growing digital marketing agency in London. With complete autonomy over their work, the chosen candidate will be part of a team doubling in size within the next 12 months. Collaborating closely with data scientists and machine learning experts, this role promises exposure to cutting-edge projects and skill development opportunities. The Role: As a Senior Software Engineer, your responsibilities will include: Designing, developing, and maintaining software using Python. Advocating and implementing best practices throughout the software engineering life cycle. Managing cloud technologies, with a focus on Google Cloud Platform (GCP). Leading automation projects to enhance efficiency. Maintaining and developing data pipelines. Enhancing internal and external tools. Collaborating with data engineers and the wider team to build data platforms. Skills and Expertise: To be considered for this prestigious role, candidates must possess the following qualifications and attributes: A demonstrated proficiency in Python programming, coupled with a keen eye for detail and a passion for crafting elegant and efficient solutions to complex problems. Substantial commercial experience in working with cloud technologies, exemplified by a deep understanding of cloud platforms and their associated services (ideally GCP). Proven expertise in deploying and managing containerized applications using Docker within commercial environments, showcasing a knack for optimizing software delivery and deployment processes. A proactive approach to learning and contributing to front-end development, coupled with a strong commitment to staying abreast of emerging technologies, industry trends, and best practices. Salary: In this role, you will have the opportunity to earn a competitive salary of up to £70,000, complemented by a comprehensive benefits package designed to support your personal and professional well-being.
May 02, 2024
Full time
Senior Software Engineer (Python) Location: London - Hybrid (Three Days a Week in Office) Salary: Up to £70,000 + Benefits Overview: An exciting opportunity awaits a Senior Software Engineer to join a rapidly growing digital marketing agency in London. With complete autonomy over their work, the chosen candidate will be part of a team doubling in size within the next 12 months. Collaborating closely with data scientists and machine learning experts, this role promises exposure to cutting-edge projects and skill development opportunities. The Role: As a Senior Software Engineer, your responsibilities will include: Designing, developing, and maintaining software using Python. Advocating and implementing best practices throughout the software engineering life cycle. Managing cloud technologies, with a focus on Google Cloud Platform (GCP). Leading automation projects to enhance efficiency. Maintaining and developing data pipelines. Enhancing internal and external tools. Collaborating with data engineers and the wider team to build data platforms. Skills and Expertise: To be considered for this prestigious role, candidates must possess the following qualifications and attributes: A demonstrated proficiency in Python programming, coupled with a keen eye for detail and a passion for crafting elegant and efficient solutions to complex problems. Substantial commercial experience in working with cloud technologies, exemplified by a deep understanding of cloud platforms and their associated services (ideally GCP). Proven expertise in deploying and managing containerized applications using Docker within commercial environments, showcasing a knack for optimizing software delivery and deployment processes. A proactive approach to learning and contributing to front-end development, coupled with a strong commitment to staying abreast of emerging technologies, industry trends, and best practices. Salary: In this role, you will have the opportunity to earn a competitive salary of up to £70,000, complemented by a comprehensive benefits package designed to support your personal and professional well-being.
Data AnalystWe are expanding our analytics function and are actively seeking a Data Analyst/Scientist to join the team, in a role that offers a unique opportunity for personal and professional growth, as well as a chance to contribute to the teams ongoing success.If you are a skilled professional who is proficient in Python, possesses exceptional stakeholder engagement abilities, embraces rapid learning in complex domains, and thrives in a small team environment, we want to hear from you. Role Overview: Seeking an experienced Data Analyst/Scientist to drive our analytics function's growth. Your responsibilities include:1. Data Analysis: Dive deep into extensive data sets for valuable insights.2. Data Quality Assurance: Validate data, ensuring integrity.3. Stakeholder Collaboration: Translate business requirements into tech specs.4. Data Preparation: Create high-performance data sets for reporting and analytics.5. Dashboard Development: Craft Tableau dashboards for informed decisions.6. Continuous Improvement: Promote a culture of enhancement.7. Project Ownership: Lead analytics projects following Agile practices.8. Mentorship: Guide junior team members to enhance skills.9. Data Advocacy: Foster data literacy for data-driven decisions.Candidate Requirements: Bachelor's degree in Math, Computer Science, or related field. Minimum 3 years as a Data Analyst/Scientist. Proficient in Python and SQL. Experience with cloud platforms (GCP, AWS, or Azure). Familiarity with Tableau, Power BI, or similar. Strong communication and collaboration skills. Excellent problem-solving and critical-thinking abilities.
May 02, 2024
Full time
Data AnalystWe are expanding our analytics function and are actively seeking a Data Analyst/Scientist to join the team, in a role that offers a unique opportunity for personal and professional growth, as well as a chance to contribute to the teams ongoing success.If you are a skilled professional who is proficient in Python, possesses exceptional stakeholder engagement abilities, embraces rapid learning in complex domains, and thrives in a small team environment, we want to hear from you. Role Overview: Seeking an experienced Data Analyst/Scientist to drive our analytics function's growth. Your responsibilities include:1. Data Analysis: Dive deep into extensive data sets for valuable insights.2. Data Quality Assurance: Validate data, ensuring integrity.3. Stakeholder Collaboration: Translate business requirements into tech specs.4. Data Preparation: Create high-performance data sets for reporting and analytics.5. Dashboard Development: Craft Tableau dashboards for informed decisions.6. Continuous Improvement: Promote a culture of enhancement.7. Project Ownership: Lead analytics projects following Agile practices.8. Mentorship: Guide junior team members to enhance skills.9. Data Advocacy: Foster data literacy for data-driven decisions.Candidate Requirements: Bachelor's degree in Math, Computer Science, or related field. Minimum 3 years as a Data Analyst/Scientist. Proficient in Python and SQL. Experience with cloud platforms (GCP, AWS, or Azure). Familiarity with Tableau, Power BI, or similar. Strong communication and collaboration skills. Excellent problem-solving and critical-thinking abilities.
The role We are looking for a Senior Data Scientist. Who are we? Our mission is to build the place where small businesses get the funding they need to win. We do this by uniting cutting-edge data and technology to deliver an unbeatable customer experience. With a decade of expertise under our belt, we've built a game-changer of a platform that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get an instant decision, giving them access to affordable funding in a flash. 99% of businesses are small businesses! And in most cases aren't given the finance they need to grow. We're here to change that because the world needs small business. Want to learn more? We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £6.9bn of GDP generated). You can read our full Impact Report here: To see what our customers think, visit our Trustpilot page: And we're still evolving! With over a decade leading the industry with our award winning core loans offering we are now well on our way to solving more SME finance challenges transforming into a multi-product lending platform. What will you be doing? Play a key role in shaping and scaling FlexiPay into a core product for Funding Circle Build and own financial models to understand the economics of the product, and the levers available to optimise this. Work with key stakeholders across Commercial and Technology teams to define and monitor the key metrics driving the success of the FlexiPay product. Build and own reporting to track product performance and drive appropriate actions and/or forecast updates. Work with Marketing and Analytics teams to design and implement a multi-channel strategy to maximise growth of FlexiPay alongside Funding Circle's growing product suite. Collaborate with Product teams to understand who are customers are, how they engage with the product and test new features to aid rapid product iterations. Segment our customer base to enable in-life engagement strategies, pricing updates and other lifecycle management. Work with our Collections and Technology teams to help set up appropriately automated collections processes. Provide requirements to our data team to ensure all necessary data for analysis on FlexiPay is suitably stored within our data lake. Proactively problem solving, identifying and confidently mitigating any risks, issues or control weaknesses that arise in your day-to-day. What we're looking for At least 2 years' experience in analytics with financial services ideally on credit card or other revolving lending products preferred Bachelor's degree in quantitative/finance related field required Coding background preferred with SQL and Python along with previous experience using AWS platform Experience working in cross-functional teams including marketing and technology preferred Self-motivated, and willing to get involved across a range of areas to make the product a success Proven problem-solving skills using logical reasoning and analytical methods Excellent ability to translate complex analytical outputs into clear, simple and actionable stories Alignment with our Core Values: Think Smart, Make It Happen, Be Open, Stand Together, Live The Adventure, Obsess Over The Customer Why join us? Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle. We are committed to being full-time hybrid; three days from home for which we will help support your home working set-up and two in the office where you can take advantage of our free barista and subsidised lunches through JustEat. We support flexible working arrangements so please speak to our recruitment team if this is something you'd like to learn more about. A few highlights: Health : Private Medical Insurance through Aviva, Dental Insurance through Bupa, MediCash, free access to online therapy sessions and exclusive discounts with Hertility for reproductive health support. Wealth : Octopus Money Coach, free mortgage advisor partnership and discounts across numerous retailers through Perks at Work. Development : Learning allowance and full access to LinkedIn Learning. Lifestyle : Gympass, Electric Car Scheme and more! And finally, we have enhanced all of our parental leave policies - we actually won the AltFi Award for Diversity, Equity and Inclusion Initiative of the Year 2022 for our Partner Leave policy. You can read more here: Research shows that some people are less likely to apply to jobs unless they meet every single criteria. At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn't align perfectly with the requirements. You might just be the perfect addition to the team! Want to Build The Incredible? We'd love to hear from you.
May 01, 2024
Full time
The role We are looking for a Senior Data Scientist. Who are we? Our mission is to build the place where small businesses get the funding they need to win. We do this by uniting cutting-edge data and technology to deliver an unbeatable customer experience. With a decade of expertise under our belt, we've built a game-changer of a platform that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get an instant decision, giving them access to affordable funding in a flash. 99% of businesses are small businesses! And in most cases aren't given the finance they need to grow. We're here to change that because the world needs small business. Want to learn more? We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £6.9bn of GDP generated). You can read our full Impact Report here: To see what our customers think, visit our Trustpilot page: And we're still evolving! With over a decade leading the industry with our award winning core loans offering we are now well on our way to solving more SME finance challenges transforming into a multi-product lending platform. What will you be doing? Play a key role in shaping and scaling FlexiPay into a core product for Funding Circle Build and own financial models to understand the economics of the product, and the levers available to optimise this. Work with key stakeholders across Commercial and Technology teams to define and monitor the key metrics driving the success of the FlexiPay product. Build and own reporting to track product performance and drive appropriate actions and/or forecast updates. Work with Marketing and Analytics teams to design and implement a multi-channel strategy to maximise growth of FlexiPay alongside Funding Circle's growing product suite. Collaborate with Product teams to understand who are customers are, how they engage with the product and test new features to aid rapid product iterations. Segment our customer base to enable in-life engagement strategies, pricing updates and other lifecycle management. Work with our Collections and Technology teams to help set up appropriately automated collections processes. Provide requirements to our data team to ensure all necessary data for analysis on FlexiPay is suitably stored within our data lake. Proactively problem solving, identifying and confidently mitigating any risks, issues or control weaknesses that arise in your day-to-day. What we're looking for At least 2 years' experience in analytics with financial services ideally on credit card or other revolving lending products preferred Bachelor's degree in quantitative/finance related field required Coding background preferred with SQL and Python along with previous experience using AWS platform Experience working in cross-functional teams including marketing and technology preferred Self-motivated, and willing to get involved across a range of areas to make the product a success Proven problem-solving skills using logical reasoning and analytical methods Excellent ability to translate complex analytical outputs into clear, simple and actionable stories Alignment with our Core Values: Think Smart, Make It Happen, Be Open, Stand Together, Live The Adventure, Obsess Over The Customer Why join us? Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle. We are committed to being full-time hybrid; three days from home for which we will help support your home working set-up and two in the office where you can take advantage of our free barista and subsidised lunches through JustEat. We support flexible working arrangements so please speak to our recruitment team if this is something you'd like to learn more about. A few highlights: Health : Private Medical Insurance through Aviva, Dental Insurance through Bupa, MediCash, free access to online therapy sessions and exclusive discounts with Hertility for reproductive health support. Wealth : Octopus Money Coach, free mortgage advisor partnership and discounts across numerous retailers through Perks at Work. Development : Learning allowance and full access to LinkedIn Learning. Lifestyle : Gympass, Electric Car Scheme and more! And finally, we have enhanced all of our parental leave policies - we actually won the AltFi Award for Diversity, Equity and Inclusion Initiative of the Year 2022 for our Partner Leave policy. You can read more here: Research shows that some people are less likely to apply to jobs unless they meet every single criteria. At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn't align perfectly with the requirements. You might just be the perfect addition to the team! Want to Build The Incredible? We'd love to hear from you.
Xpertise is on the lookout for a Data Scientist who can play a key role in creating real-world value through the use of data. The organisation is offering someone the autonomy to identify new ways of utilising data using all the latest Microsoft tech stack. Key details: Salary: £40,000-60,000 depending on experience Location: Birmingham + hybrid working model (remote) Future outlook: There's plenty of opportunity for career progression, and we'll offer a dedicated career plan to reach this goal. We'll give you the freedom to unlock value for your team and wider organisation using the tech you think is required! Skills desired / what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, scikit-learn, Pandas). Microsoft Power BI The ability to use analytical and problem-solving skills, with the ability to work with large, complex datasets and derive actionable insights. Utilise AI tools to assist in the optimisation of algorithms and analysis of data, enhancing the efficiency and accuracy of management solutions. Value generation and insights extraction Role overview: Do you want free reign to explore new concepts and create value for the organisation and its customers? Then this one's for you. We want you to tell us where the interesting data is and how to effectively utilise this Interested? Please apply with your CV and Billy Hall will reach out with more details. Xpertise acts as an employment agency.
May 01, 2024
Full time
Xpertise is on the lookout for a Data Scientist who can play a key role in creating real-world value through the use of data. The organisation is offering someone the autonomy to identify new ways of utilising data using all the latest Microsoft tech stack. Key details: Salary: £40,000-60,000 depending on experience Location: Birmingham + hybrid working model (remote) Future outlook: There's plenty of opportunity for career progression, and we'll offer a dedicated career plan to reach this goal. We'll give you the freedom to unlock value for your team and wider organisation using the tech you think is required! Skills desired / what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, scikit-learn, Pandas). Microsoft Power BI The ability to use analytical and problem-solving skills, with the ability to work with large, complex datasets and derive actionable insights. Utilise AI tools to assist in the optimisation of algorithms and analysis of data, enhancing the efficiency and accuracy of management solutions. Value generation and insights extraction Role overview: Do you want free reign to explore new concepts and create value for the organisation and its customers? Then this one's for you. We want you to tell us where the interesting data is and how to effectively utilise this Interested? Please apply with your CV and Billy Hall will reach out with more details. Xpertise acts as an employment agency.
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. Top 3 skills needed: Delivery of high-impact machine learning projects Stakeholder management and collaboration Identification of new project opportunities What this role is all about: At Vitality, data scientists develop and deploy machine learning models that help us realise our core purpose and achieve our ongoing business objectives.Our data scientists work on innovative applications of machine learning techniques spanning the entire value chain of our business. They work with rich datasets, and on project use cases spanning a broad variety of advanced techniques. We have a test-and-learn ethos, meaning models are deployed quickly into business processes allowing us to assess the impact of our work. Our data science function and its members play a key role in shaping new projects in an innovative environment that's focused on making our members healthier and enhancing and protects their lives. Key Actions Implementing the machine learning life cycle: building models in a structured manner following best practice in the collection and analysis of modelling data, feature engineering, model fitting, selection, evaluation, deployment, and monitoring. Working independently and providing support and guidance to others. Receiving guidance from managers only in the most complex situations. Delivering work that stands up to the scrutiny of other senior data scientists and managers. Being recognised by the data science community as highly capable in all aspects of the machine learning life cycle. Analysing issues and recommending solutions. Solving complex problems, taking a broad perspective to identify solutions. Delivering high impact projects: working on projects that have well defined business benefits. Managing projects as well as providing oversight of other data scientists' work. Leveraging your experience of working on previous projects to deliver new projects quickly and working with commitment and urgency to achieve this. Managing several competing projects concurrently, prioritising your time effectively so as not to compromise delivery. Engaging stakeholders: working with stakeholders to support and understand their core needs and requirements to ensure the delivery of high impact projects. Putting forward well-reasoned arguments to all stakeholders in the business with confidence and leading and presenting engagements with stakeholders. Proactively collaborating with stakeholders and taking responsibility for stakeholder relationships. Providing examples of how alternative approaches might work and demonstrating advanced communication skills. Facilitating meetings and guiding discussions. Fielding complex questions and engaging at a high level in your area of expertise. Negotiating and resolving conflicts. Building and transferring skills and knowledge: taking responsibility for developing personal skills and expertise aligned to your role. Being fully competent in the core technologies used by the team as well as a range of more peripheral technologies (such as NLP, reinforcement learning and computer vision). Having a good grounding in the principles and technologies of ML engineering. Setting yourself apart through the breadth of your knowledge and your ability to apply it to solve the problems faced by Vitality. Proactively creating learning opportunities for other data scientists and analysts by initiating and conducting sessions to develop skills and knowledge in line with the needs of the business. Actively coach and support other data scientists and be viewed as a technical expert by others in the analytical community. Having a well-developed understanding of the overall dynamics of Vitality's business. Applying risk management and governance: considering potential risks at every stage of a project. Championing model governance and data protection. Collaborating within and across teams: working effectively together with others across varying areas of expertise to achieve the required results. Essential Skills needed to fulfil this role: Undergraduate degree in numerical subject Strong knowledge of Microsoft Office tools Significant experience accessing and analysing data using SQL and Python Significant experience using commonly used regression and classification algorithms Experience (3+ yrs) working as a data scientist Expert in the process of building and implementing machine learning models to solve business problems Taken a lead role in the management of data science projects Ability to prioritise work in relation to likely business impact Communicates effectively to technical and non-technical audiences at all levels of the organisation Demonstrable experience of working with the business to identify new projects So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary About The Company Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits.
May 01, 2024
Full time
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. Top 3 skills needed: Delivery of high-impact machine learning projects Stakeholder management and collaboration Identification of new project opportunities What this role is all about: At Vitality, data scientists develop and deploy machine learning models that help us realise our core purpose and achieve our ongoing business objectives.Our data scientists work on innovative applications of machine learning techniques spanning the entire value chain of our business. They work with rich datasets, and on project use cases spanning a broad variety of advanced techniques. We have a test-and-learn ethos, meaning models are deployed quickly into business processes allowing us to assess the impact of our work. Our data science function and its members play a key role in shaping new projects in an innovative environment that's focused on making our members healthier and enhancing and protects their lives. Key Actions Implementing the machine learning life cycle: building models in a structured manner following best practice in the collection and analysis of modelling data, feature engineering, model fitting, selection, evaluation, deployment, and monitoring. Working independently and providing support and guidance to others. Receiving guidance from managers only in the most complex situations. Delivering work that stands up to the scrutiny of other senior data scientists and managers. Being recognised by the data science community as highly capable in all aspects of the machine learning life cycle. Analysing issues and recommending solutions. Solving complex problems, taking a broad perspective to identify solutions. Delivering high impact projects: working on projects that have well defined business benefits. Managing projects as well as providing oversight of other data scientists' work. Leveraging your experience of working on previous projects to deliver new projects quickly and working with commitment and urgency to achieve this. Managing several competing projects concurrently, prioritising your time effectively so as not to compromise delivery. Engaging stakeholders: working with stakeholders to support and understand their core needs and requirements to ensure the delivery of high impact projects. Putting forward well-reasoned arguments to all stakeholders in the business with confidence and leading and presenting engagements with stakeholders. Proactively collaborating with stakeholders and taking responsibility for stakeholder relationships. Providing examples of how alternative approaches might work and demonstrating advanced communication skills. Facilitating meetings and guiding discussions. Fielding complex questions and engaging at a high level in your area of expertise. Negotiating and resolving conflicts. Building and transferring skills and knowledge: taking responsibility for developing personal skills and expertise aligned to your role. Being fully competent in the core technologies used by the team as well as a range of more peripheral technologies (such as NLP, reinforcement learning and computer vision). Having a good grounding in the principles and technologies of ML engineering. Setting yourself apart through the breadth of your knowledge and your ability to apply it to solve the problems faced by Vitality. Proactively creating learning opportunities for other data scientists and analysts by initiating and conducting sessions to develop skills and knowledge in line with the needs of the business. Actively coach and support other data scientists and be viewed as a technical expert by others in the analytical community. Having a well-developed understanding of the overall dynamics of Vitality's business. Applying risk management and governance: considering potential risks at every stage of a project. Championing model governance and data protection. Collaborating within and across teams: working effectively together with others across varying areas of expertise to achieve the required results. Essential Skills needed to fulfil this role: Undergraduate degree in numerical subject Strong knowledge of Microsoft Office tools Significant experience accessing and analysing data using SQL and Python Significant experience using commonly used regression and classification algorithms Experience (3+ yrs) working as a data scientist Expert in the process of building and implementing machine learning models to solve business problems Taken a lead role in the management of data science projects Ability to prioritise work in relation to likely business impact Communicates effectively to technical and non-technical audiences at all levels of the organisation Demonstrable experience of working with the business to identify new projects So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary About The Company Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits.
Xpertise is on the lookout for a Data Scientist who can play a key role in creating real-world value through the use of data. The organisation is offering someone the autonomy to identify new ways of utilising data using all the latest Microsoft tech stack. Key details: Salary: £40,000-60,000 depending on experience Location: Birmingham + hybrid working model (remote) Future outlook: There's plenty of opportunity for career progression, and we'll offer a dedicated career plan to reach this goal. We'll give you the freedom to unlock value for your team and wider organisation using the tech you think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (eg, TensorFlow, scikit-learn, Pandas). Microsoft Power BI The ability to use analytical and problem-solving skills, with the ability to work with large, complex datasets and derive actionable insights. Utilise AI tools to assist in the optimisation of algorithms and analysis of data, enhancing the efficiency and accuracy of management solutions. Value generation and insights extraction Role overview: Do you want free reign to explore new concepts and create value for the organisation and its customers? Then this one's for you. We want you to tell us where the interesting data is and how to effectively utilise this Interested? Please apply with your CV and Billy Hall will reach out with more details. Xpertise acts as an employment agency.
May 01, 2024
Full time
Xpertise is on the lookout for a Data Scientist who can play a key role in creating real-world value through the use of data. The organisation is offering someone the autonomy to identify new ways of utilising data using all the latest Microsoft tech stack. Key details: Salary: £40,000-60,000 depending on experience Location: Birmingham + hybrid working model (remote) Future outlook: There's plenty of opportunity for career progression, and we'll offer a dedicated career plan to reach this goal. We'll give you the freedom to unlock value for your team and wider organisation using the tech you think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (eg, TensorFlow, scikit-learn, Pandas). Microsoft Power BI The ability to use analytical and problem-solving skills, with the ability to work with large, complex datasets and derive actionable insights. Utilise AI tools to assist in the optimisation of algorithms and analysis of data, enhancing the efficiency and accuracy of management solutions. Value generation and insights extraction Role overview: Do you want free reign to explore new concepts and create value for the organisation and its customers? Then this one's for you. We want you to tell us where the interesting data is and how to effectively utilise this Interested? Please apply with your CV and Billy Hall will reach out with more details. Xpertise acts as an employment agency.
Company Description NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Job Description As part of the global Operations & Technology organisation, the Data & Analytics team (D&A) is focused on data and analytics strategies for the future. We support NBCU's vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks and a diverse suite of digital properties. We take pride in providing NBCUniversal with data to advise and shape strategic business decisions. ABOUT THE ROLE: The Data & Analytics (D&A) team at NBCUniversal is looking for a passionate problem solver who's looking to build the next generation of data pipelines and applications. Working across one or more of our main subject areas - research, marketing, engineering frameworks - the Staff Data Engineer role is right for you if you're a subject matter expert in designing data integration frameworks, pipelines and still love to jump in and be "hands-on" when needed. In the Staff Data Engineer role, you'll be working with internal stakeholders, data engineers, visualisation experts, data scientists, and other technologists across the businesses. This position requires a passionate data engineering expert who has a strong technical background and a passion for leading a team to success - If you're someone who loves to take large, disparate data sets and build them into flexible and scalable analytics applications and databases, you've come to the right place. Here you can create the extraordinary. Join us. Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, and cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions. Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. Implement appropriate design patterns while optimising performance, cost, security, and scale and end user experience. Collaborate with business leaders, engineers, and product managers to understand data needs. Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles. Become a subject matter expert for data engineering related technologies and designs. Coach and guide others within the D&A organization to build scalable pipelines based on foundational data engineering principles. Participate in development sprints, demos, and retrospectives, alongside releases and deployment. Build and manage relationships with supporting IT teams in order to effectively deliver work products to production. Qualifications REQUIREMENTS: 7+ years of experience in a data engineering role, leading data engineering teams is a plus. Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts. Knowledge of cloud technologies such as AWS, Azure, GCP. Knowledge of data management fundamentals and data storage principles. Experience in building data pipelines using Python/SQL or similar programming languages. Demonstrable experience in Airflow, Luigi or similar orchestration engines. General understanding of cloud data engineering design patterns and use cases. Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems or related field. PREFERRED QUALIFICATIONS: Analytical - You have experience in delivering self-service analytics solutions that promote data discovery Experience with Snowflake, Amazon Web Services, or related cloud platforms a plus. Understanding of big data technology stacks (Hive / Spark etc) is a plus. Experience moving on prem technologies to the cloud is a plus. Media-focused - Strong working knowledge of media including broadcast TV, digital, and mobile (specific experience with TV Distribution a plus). Communicator - You have excellent verbal and written skills with the ability to communicate ideas effectively across all levels of the organization, both technical and non-technical. Action-oriented - You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, integrity, and building trust Strong understanding of Agile principles and best practices. You've dealt with ambiguity and can make quality decisions in a dynamic, fast-paced environment. Additional Information NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by emailing .
May 01, 2024
Full time
Company Description NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Job Description As part of the global Operations & Technology organisation, the Data & Analytics team (D&A) is focused on data and analytics strategies for the future. We support NBCU's vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks and a diverse suite of digital properties. We take pride in providing NBCUniversal with data to advise and shape strategic business decisions. ABOUT THE ROLE: The Data & Analytics (D&A) team at NBCUniversal is looking for a passionate problem solver who's looking to build the next generation of data pipelines and applications. Working across one or more of our main subject areas - research, marketing, engineering frameworks - the Staff Data Engineer role is right for you if you're a subject matter expert in designing data integration frameworks, pipelines and still love to jump in and be "hands-on" when needed. In the Staff Data Engineer role, you'll be working with internal stakeholders, data engineers, visualisation experts, data scientists, and other technologists across the businesses. This position requires a passionate data engineering expert who has a strong technical background and a passion for leading a team to success - If you're someone who loves to take large, disparate data sets and build them into flexible and scalable analytics applications and databases, you've come to the right place. Here you can create the extraordinary. Join us. Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, and cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions. Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. Implement appropriate design patterns while optimising performance, cost, security, and scale and end user experience. Collaborate with business leaders, engineers, and product managers to understand data needs. Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles. Become a subject matter expert for data engineering related technologies and designs. Coach and guide others within the D&A organization to build scalable pipelines based on foundational data engineering principles. Participate in development sprints, demos, and retrospectives, alongside releases and deployment. Build and manage relationships with supporting IT teams in order to effectively deliver work products to production. Qualifications REQUIREMENTS: 7+ years of experience in a data engineering role, leading data engineering teams is a plus. Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts. Knowledge of cloud technologies such as AWS, Azure, GCP. Knowledge of data management fundamentals and data storage principles. Experience in building data pipelines using Python/SQL or similar programming languages. Demonstrable experience in Airflow, Luigi or similar orchestration engines. General understanding of cloud data engineering design patterns and use cases. Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems or related field. PREFERRED QUALIFICATIONS: Analytical - You have experience in delivering self-service analytics solutions that promote data discovery Experience with Snowflake, Amazon Web Services, or related cloud platforms a plus. Understanding of big data technology stacks (Hive / Spark etc) is a plus. Experience moving on prem technologies to the cloud is a plus. Media-focused - Strong working knowledge of media including broadcast TV, digital, and mobile (specific experience with TV Distribution a plus). Communicator - You have excellent verbal and written skills with the ability to communicate ideas effectively across all levels of the organization, both technical and non-technical. Action-oriented - You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, integrity, and building trust Strong understanding of Agile principles and best practices. You've dealt with ambiguity and can make quality decisions in a dynamic, fast-paced environment. Additional Information NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by emailing .
Job Description: Job Title Data Scientist - Quantitative Research & Development Lab Location London Corporate Title Vice President/Director Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank's businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. The Quantitative Research and Development Lab is a newly established team within Deutsche Bank GSA. Its central mission is to empower the sales and trading functions with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence/Machine Learning space. You will be amongst the first experienced members of this team and have the opportunity to use your foundational knowledge and practical experience in the field of data science to deliver impactful solutions to the business, working closely with key stakeholders and together with partnering teams to deliver business solutions and provide support to sales and trading. What we'll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive salary and non-contributory pension 30 days' holiday plus bank holidays, with the option to purchase additional days Life Assurance and Private Healthcare for you and your family A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits The opportunity to support a wide ranging CSR programme + 2 days' volunteering leave per year Your key responsibilities Responsible for building and developing quantitative data-driven Machine Learning models and tools to support front office sales and trading Work in collaboration with partnering sales and trading (or related) teams to formulate the initiative's problem statement, business case, proposed approach, delivery schedule, and Key Performance Indicators. Conduct the required research and development across the full life-cycle, from idea inception to documentation and maintenance/improvement of the productionised solution. Provide project management, coordination, and managerial oversight where required. Your skills and experience Expert working knowledge in deep learning and/or natural language processing, and a good foundation in mathematics and statistics (incl. probability, time-series modelling, optimisation) Experienced in research and hands-on production deliveries that evidence creativity, impact, attention to detail, and longevity of solutions. Good experience analysing large structured and/or unstructured datasets Comfortable working both as an individual contributor and as a member of a collective team with the ability to communicate technical subject matter clearly and concisely tailored to diverse audiences Solid programming skills in Python. Other languages such as Java, C++, Kdb/q are a plus. Excellent academic/educational credentials in a relevant subject such as Mathematics, Computer Science or Data Science with advanced degrees such as MSc or PHD advantageous. How we'll support you Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A range of flexible benefits that you can tailor to suit your needs We value diversity and as an equal opportunities' employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards) About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named a Times Top 50 Employer for Gender Equality for three consecutive years. Additionally, we have been awarded a Silver Award from Stonewall for two years running and named in their Top 100 Employers for 2023 for our work supporting LGBTQ+ inclusion. Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.
May 01, 2024
Full time
Job Description: Job Title Data Scientist - Quantitative Research & Development Lab Location London Corporate Title Vice President/Director Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank's businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. The Quantitative Research and Development Lab is a newly established team within Deutsche Bank GSA. Its central mission is to empower the sales and trading functions with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence/Machine Learning space. You will be amongst the first experienced members of this team and have the opportunity to use your foundational knowledge and practical experience in the field of data science to deliver impactful solutions to the business, working closely with key stakeholders and together with partnering teams to deliver business solutions and provide support to sales and trading. What we'll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive salary and non-contributory pension 30 days' holiday plus bank holidays, with the option to purchase additional days Life Assurance and Private Healthcare for you and your family A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits The opportunity to support a wide ranging CSR programme + 2 days' volunteering leave per year Your key responsibilities Responsible for building and developing quantitative data-driven Machine Learning models and tools to support front office sales and trading Work in collaboration with partnering sales and trading (or related) teams to formulate the initiative's problem statement, business case, proposed approach, delivery schedule, and Key Performance Indicators. Conduct the required research and development across the full life-cycle, from idea inception to documentation and maintenance/improvement of the productionised solution. Provide project management, coordination, and managerial oversight where required. Your skills and experience Expert working knowledge in deep learning and/or natural language processing, and a good foundation in mathematics and statistics (incl. probability, time-series modelling, optimisation) Experienced in research and hands-on production deliveries that evidence creativity, impact, attention to detail, and longevity of solutions. Good experience analysing large structured and/or unstructured datasets Comfortable working both as an individual contributor and as a member of a collective team with the ability to communicate technical subject matter clearly and concisely tailored to diverse audiences Solid programming skills in Python. Other languages such as Java, C++, Kdb/q are a plus. Excellent academic/educational credentials in a relevant subject such as Mathematics, Computer Science or Data Science with advanced degrees such as MSc or PHD advantageous. How we'll support you Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A range of flexible benefits that you can tailor to suit your needs We value diversity and as an equal opportunities' employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards) About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named a Times Top 50 Employer for Gender Equality for three consecutive years. Additionally, we have been awarded a Silver Award from Stonewall for two years running and named in their Top 100 Employers for 2023 for our work supporting LGBTQ+ inclusion. Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.
An experienced Data Scientist/ Market Analyst / Data Analyst required to support a market leader with Ad Platforms. The ideal candidate would have worked withing a similar role and have knowledge of Tableau Pyton SQL Adobe Snowflake Ideally have knowledge of data visualization, dashboards and reporting and experience of reporting on web analytics and Adobe, or other web analytics tool and ideally have worked or have knowledge of the digital advertising industry, the mobile app economy or related field Duties will include Support the Marketing and Sales teams with customer insights and analytics that inform and fulfill strategic objectives and goals. Provide Web analytics support to Marketing stakeholders (e.g. producing ad-hoc custom dashboards and Keynote analyses supporting stakeholders). Ensure operational excellence by maintaining and improving existing insights development and web reporting processes. Quantify the impact of marketing initiatives on customer success and future behaviour. Drive business analytics projects through all phases, including data quality, data analysis, data visualization, and presentation of results and deliverables. Monitor usage metrics, understanding business-based explanations for large scale trends and patterns in customer lifecycle behaviour. Develop data models and analytical tools for ongoing audience segmentation, benchmarking, trending and competitive analysis. Build dashboards, reports, and presentations. Collaborate with cross-functional team, including Marketing, Sales, Data Insights and Engineering. This is a 12mth Full time role Apply Immediately Kelly Services are acting as an Employment Business in relation to this role. Should you choose to apply, your information will be processed in accordance with Kelly's Privacy Statement. For information regarding data protection at Kelly, please visit the Kelly website and have a look into the Privacy Statement. As an Equal Opportunities employer we welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
May 01, 2024
Full time
An experienced Data Scientist/ Market Analyst / Data Analyst required to support a market leader with Ad Platforms. The ideal candidate would have worked withing a similar role and have knowledge of Tableau Pyton SQL Adobe Snowflake Ideally have knowledge of data visualization, dashboards and reporting and experience of reporting on web analytics and Adobe, or other web analytics tool and ideally have worked or have knowledge of the digital advertising industry, the mobile app economy or related field Duties will include Support the Marketing and Sales teams with customer insights and analytics that inform and fulfill strategic objectives and goals. Provide Web analytics support to Marketing stakeholders (e.g. producing ad-hoc custom dashboards and Keynote analyses supporting stakeholders). Ensure operational excellence by maintaining and improving existing insights development and web reporting processes. Quantify the impact of marketing initiatives on customer success and future behaviour. Drive business analytics projects through all phases, including data quality, data analysis, data visualization, and presentation of results and deliverables. Monitor usage metrics, understanding business-based explanations for large scale trends and patterns in customer lifecycle behaviour. Develop data models and analytical tools for ongoing audience segmentation, benchmarking, trending and competitive analysis. Build dashboards, reports, and presentations. Collaborate with cross-functional team, including Marketing, Sales, Data Insights and Engineering. This is a 12mth Full time role Apply Immediately Kelly Services are acting as an Employment Business in relation to this role. Should you choose to apply, your information will be processed in accordance with Kelly's Privacy Statement. For information regarding data protection at Kelly, please visit the Kelly website and have a look into the Privacy Statement. As an Equal Opportunities employer we welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Contract Length: 8 Months initially (Likely extensions) Work Location: Midlands Work Type: 5 Days Onsite IR35 Status: Inside IR35 Industry: Manufacturing Interview Process: 2 stage interview, MS Teams Security Clearance: Must be SC Cleared Montash is collaborating with an IT tech partner to deliver services to one of the UK's largest manufacturing businesses. We are seeking a motivated software engineer to join a team of developers to contribute to the development of a new data application product. Role Description: Experience as a full-stack engineer or proficient Front End developer with exposure to at least one of the following: JavaScript, Python, or TypeScript. Technical proficiency in one or more of the following technologies: Python, VueJS, TypeScript, React. Familiarity with various Python modules for data manipulation and processing frameworks. Proficient with Elasticsearch and Kibana. Backend development experience with FastAPI and/or Flask, and SQLAlchemy and/or Pytest. Frontend development using JavaScript web frameworks (VueJS or React). Experience with Front End web application state management. Unit testing experience for Front End web applications. Familiarity with Microsoft SQL Server. Responsibilities: Develop and administer functional databases and applications. Plan, execute, and troubleshoot implementation tests to achieve desired outcomes. Conduct code reviews and provide support. Troubleshoot and debug software issues. Support junior developers and contribute to design decisions. Collaborate with data engineers and scientists to improve software application structures. Operate in an Agile environment. Required: SC Clearance. British nationality. Please do not apply if you do not have SC clearance. If interested, please apply and attach your CV below. Note that candidates must be SC cleared to qualify for this role.
May 01, 2024
Contractor
Contract Length: 8 Months initially (Likely extensions) Work Location: Midlands Work Type: 5 Days Onsite IR35 Status: Inside IR35 Industry: Manufacturing Interview Process: 2 stage interview, MS Teams Security Clearance: Must be SC Cleared Montash is collaborating with an IT tech partner to deliver services to one of the UK's largest manufacturing businesses. We are seeking a motivated software engineer to join a team of developers to contribute to the development of a new data application product. Role Description: Experience as a full-stack engineer or proficient Front End developer with exposure to at least one of the following: JavaScript, Python, or TypeScript. Technical proficiency in one or more of the following technologies: Python, VueJS, TypeScript, React. Familiarity with various Python modules for data manipulation and processing frameworks. Proficient with Elasticsearch and Kibana. Backend development experience with FastAPI and/or Flask, and SQLAlchemy and/or Pytest. Frontend development using JavaScript web frameworks (VueJS or React). Experience with Front End web application state management. Unit testing experience for Front End web applications. Familiarity with Microsoft SQL Server. Responsibilities: Develop and administer functional databases and applications. Plan, execute, and troubleshoot implementation tests to achieve desired outcomes. Conduct code reviews and provide support. Troubleshoot and debug software issues. Support junior developers and contribute to design decisions. Collaborate with data engineers and scientists to improve software application structures. Operate in an Agile environment. Required: SC Clearance. British nationality. Please do not apply if you do not have SC clearance. If interested, please apply and attach your CV below. Note that candidates must be SC cleared to qualify for this role.
Open Targets (OT) is a unique public-private partnership working to deliver experimental data and informatics platforms that enable researchers to make more informed decisions about target selection for drug discovery. OT is a shared initiative between the European Bioinformatics Institute (EMBL-EBI), a global leader in the management, integration and analysis of public domain life science data; world-leading pharmaceutical companies GSK, Sanofi, Bristol Myers Squibb, Pfizer and Genentech; and the Wellcome Sanger Institute. Generative AI has revolutionised the way we interact with knowledge. To benefit from the advances in LLM technology inside Open Targets, we are extending the capabilities of our platform towards LLM integration using open-source frameworks. The project aims to improve on extraction, representation, and usage of scientific knowledge, and present this knowledge to platform users in a user-friendly way. The central aims of the role we describe below will be 1) extending knowledge representation capabilities of the Open Targets platform towards custom knowledge graphs, and 2) interfacing with knowledge extraction and knowledge usage teams to ensure effective knowledge representations for any given task. Your role We are seeking a highly skilled and motivated Research Software Engineer with expertise in Python and databases to join the AI knowledge management project for 3 years. We are open to applicants at various career stages, with particular interest in individuals who are eager to utilise cutting-edge technologies to address complex challenges in software development and informatics in the context of drug discovery. This position would be embedded within the Open Targets project team in the Saez-Rodriguez Group at the European Bioinformatics Institute and benefit from joint supervision with Sebastian Lobentanzer in the Saez-Rodriguez Group at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge technology for knowledge extraction, representation and interpretation to help drug discovery scientist. As a crucial member of the project team team, you will design, build, and operate cloud-first software that interfaces with large-scale biomedical data and drug discovery. You will contribute to developing informatics tools designed to support identifying and prioritising drug targets. Leveraging cutting-edge technologies and the expertise of our product owners and industry stakeholders, you will work in a dynamic, multidisciplinary, international environment to tackle a wide range of algorithmic and technical challenges. As a Research Software Engineer you will be instrumental in extending our Open Targets Platform framework to include a modular knowledge graph platform. Your expertise will enhance the robustness and efficiency of our data processing and knowledge representation systems, contributing directly to our open science initiatives. As part of a dynamic, collaborative, and international team, you will be responsible for: Developing and implementing a knowledge graph framework on top of the existing data lake to improve our data sharing and analysis pipelines to assist drug discovery user stories. Working closely with data provision and analysis engineers up- and downstream of the framework. Working in an open-source environment, contributing to codebases and collaborating on agile development. Writing clean, efficient, and readable Python code to support our internal pipelines and integrate Large Language Models. Actively disseminating the outcomes of the project to the scientific community and stakeholders through well-crafted presentations and publications,community forumsandblog. You have Advanced degree (MSc, PhD) in computer science, bioinformatics, software development, or a related field. Strong skills in Python and familiarity with relevant frameworks and tools. Experience with databases and their Python integrations. Proficient in open-source development and version control (e.g., Git). Passionate about collaborative, agile development in a fast-paced environment. Experience in independent problem-solving and examples of resolving complex issues. Fluency in written and spoken English. Ability to effectively communicate ideas or issues and work with team members from multidisciplinary backgrounds. You might also have Understanding of the ecosystem of biomedical and/or clinical data resources Knowledge of human genetics, genomics, and/or drug discovery - or are interested in learning about these topics. Experience working with knowledge graphs (e.g., ) and graph databases (e.g., Neo4j). Experience leveraging embeddings derived from graph-based representations and/or machine learning. Experience building high-quality software and making frequent deployments as part of a regular software release process. Experience working with infrastructure-as-code, continuous integration, containers, Cloud infrastructure, and deployment. Interest in promoting your work and the ways we have solved complex challenges. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £260, monthly child allowance of £314 per child. Non resident allowance up to £532 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year project contract non-renewable Salary: UK Equivalent £48,613.00 (Total package will be dependant on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 20/05/2024. JBRP1_UKTJ
May 01, 2024
Full time
Open Targets (OT) is a unique public-private partnership working to deliver experimental data and informatics platforms that enable researchers to make more informed decisions about target selection for drug discovery. OT is a shared initiative between the European Bioinformatics Institute (EMBL-EBI), a global leader in the management, integration and analysis of public domain life science data; world-leading pharmaceutical companies GSK, Sanofi, Bristol Myers Squibb, Pfizer and Genentech; and the Wellcome Sanger Institute. Generative AI has revolutionised the way we interact with knowledge. To benefit from the advances in LLM technology inside Open Targets, we are extending the capabilities of our platform towards LLM integration using open-source frameworks. The project aims to improve on extraction, representation, and usage of scientific knowledge, and present this knowledge to platform users in a user-friendly way. The central aims of the role we describe below will be 1) extending knowledge representation capabilities of the Open Targets platform towards custom knowledge graphs, and 2) interfacing with knowledge extraction and knowledge usage teams to ensure effective knowledge representations for any given task. Your role We are seeking a highly skilled and motivated Research Software Engineer with expertise in Python and databases to join the AI knowledge management project for 3 years. We are open to applicants at various career stages, with particular interest in individuals who are eager to utilise cutting-edge technologies to address complex challenges in software development and informatics in the context of drug discovery. This position would be embedded within the Open Targets project team in the Saez-Rodriguez Group at the European Bioinformatics Institute and benefit from joint supervision with Sebastian Lobentanzer in the Saez-Rodriguez Group at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge technology for knowledge extraction, representation and interpretation to help drug discovery scientist. As a crucial member of the project team team, you will design, build, and operate cloud-first software that interfaces with large-scale biomedical data and drug discovery. You will contribute to developing informatics tools designed to support identifying and prioritising drug targets. Leveraging cutting-edge technologies and the expertise of our product owners and industry stakeholders, you will work in a dynamic, multidisciplinary, international environment to tackle a wide range of algorithmic and technical challenges. As a Research Software Engineer you will be instrumental in extending our Open Targets Platform framework to include a modular knowledge graph platform. Your expertise will enhance the robustness and efficiency of our data processing and knowledge representation systems, contributing directly to our open science initiatives. As part of a dynamic, collaborative, and international team, you will be responsible for: Developing and implementing a knowledge graph framework on top of the existing data lake to improve our data sharing and analysis pipelines to assist drug discovery user stories. Working closely with data provision and analysis engineers up- and downstream of the framework. Working in an open-source environment, contributing to codebases and collaborating on agile development. Writing clean, efficient, and readable Python code to support our internal pipelines and integrate Large Language Models. Actively disseminating the outcomes of the project to the scientific community and stakeholders through well-crafted presentations and publications,community forumsandblog. You have Advanced degree (MSc, PhD) in computer science, bioinformatics, software development, or a related field. Strong skills in Python and familiarity with relevant frameworks and tools. Experience with databases and their Python integrations. Proficient in open-source development and version control (e.g., Git). Passionate about collaborative, agile development in a fast-paced environment. Experience in independent problem-solving and examples of resolving complex issues. Fluency in written and spoken English. Ability to effectively communicate ideas or issues and work with team members from multidisciplinary backgrounds. You might also have Understanding of the ecosystem of biomedical and/or clinical data resources Knowledge of human genetics, genomics, and/or drug discovery - or are interested in learning about these topics. Experience working with knowledge graphs (e.g., ) and graph databases (e.g., Neo4j). Experience leveraging embeddings derived from graph-based representations and/or machine learning. Experience building high-quality software and making frequent deployments as part of a regular software release process. Experience working with infrastructure-as-code, continuous integration, containers, Cloud infrastructure, and deployment. Interest in promoting your work and the ways we have solved complex challenges. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £260, monthly child allowance of £314 per child. Non resident allowance up to £532 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year project contract non-renewable Salary: UK Equivalent £48,613.00 (Total package will be dependant on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 20/05/2024. JBRP1_UKTJ
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
May 01, 2024
Full time
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Wehave an exciting opportunityavailable for a Core Network Engineer - ITO to join one of the world's leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. You will join us on a full-time, permanent basis , and in return, you will receive a competitive salary circa £53,000 with benefits, subject to skills and experience . The Core Network Engineer - ITO role: The Information Technology Office (ITO) team within the Francis Crick Institute is responsible for the design, implementation and operation of all IT which manages the running of the institute, along with the publication and library services provided to scientists. The Core Network Engineer supports the IT Network and is the subject matter expert on core network technologies. The role is part of the Crick Information Technology Office. It is pivotal in ensuring the successful operation and optimisation of the core IT network. The post holder will need to forge close working relationships with ITO colleagues, the Facilities and Infrastructure team, Science Operations, and partner organisations to operate and develop networking services. The Core Network Engineer will support the business-as-usual activities including monitoring, on-going support, automation, and optimisation of the network services. They will recognise when projects and small works are required in support of this and contribute to the successful delivery of these and other projects. The role focusses on core routing technologies, network security, internet services and data centre networking. It will cover some campus wired and wireless services. Responsibilities of our Core Network Engineer - ITO: These include but are not limited to: Daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems, and key processes, reviewing system and application logs, support ticket queues and verifying completion of scheduled jobs such as backups Carrying out diagnosis and investigation of anomalies or in response to incidents, and working to resolve these in a timely manner both during and outside of normal working hours if necessary Continual service improvement across the full network service lifecycle, including identification and resolution of underlying technical or procedural issues to improve system reliability and performance, and the analysis and reporting of network data - capacity, performance, security access, and projected usage Automation of manual tasks following identification of those where this would bring material benefit in cost or time saving, or minimisation of human error Contributing to project work as technical lead and subject matter expert for core networking Ensuring that all deliverables are completed in a timely manner and to the appropriate level of quality Interacting with other Crick teams and service partners to operate and maintain networked services in the building, capture network connectivity requirements, produce appropriate designs, ensure smooth delivery of projects, and optimise systems Creating and maintaining operational and design documentation to ensure effective support and that the impact of future change requests can be assessed Skills and experience we are looking for in our Core Network Engineer - ITO: An undergraduate degree in a STEM subject, or equivalent experience Experience of core networking technologies Previous experience developing and supporting a network in a complex and similar scale enterprise environment A proven ability to use telemetry data to report agreed metrics Cisco CCNP/Juniper JNCIP or equivalent certification/industry experience Demonstrable knowledge in: Network security solutions including Firewall and VPN Layer 3 services and protocols including OSPF, BGP and VRFs Layer 2 services and protocols including QoS Campus Networking Data Centre Networking Network segmentation Wi-Fi technologies Network Access Control, IEEE 802.1X and RADIUS technologies DNS, DHCP, IPAM (DDI) systems Network monitoring and diagnostic tools Network infrastructure maintenance, software upgrades and troubleshooting Packet capture and analysis Developing network automation solutions, ideally in Python Desirable Previous experience or demonstrable understanding in the following: Structured Cabling Management Logfile Analysis Splunk Use of Application Programming Interfaces (APIs) Data Centre Cooling and Power Experience across multiple vendor networking technologies A demonstrable ability to balance multiple priorities and operate comfortably in an environment that is developing and changing rapidly Strong interpersonal skills and a proven track record of building effective working relationships at all levels Previous experience of working in a scientific/medical research environment Closing date: 26/May/.59 If you feel you have the skills and experience to become our Core Network Engineer - ITO , please click 'apply' today, we'd love to hear from you! All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom.
May 01, 2024
Full time
Wehave an exciting opportunityavailable for a Core Network Engineer - ITO to join one of the world's leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. You will join us on a full-time, permanent basis , and in return, you will receive a competitive salary circa £53,000 with benefits, subject to skills and experience . The Core Network Engineer - ITO role: The Information Technology Office (ITO) team within the Francis Crick Institute is responsible for the design, implementation and operation of all IT which manages the running of the institute, along with the publication and library services provided to scientists. The Core Network Engineer supports the IT Network and is the subject matter expert on core network technologies. The role is part of the Crick Information Technology Office. It is pivotal in ensuring the successful operation and optimisation of the core IT network. The post holder will need to forge close working relationships with ITO colleagues, the Facilities and Infrastructure team, Science Operations, and partner organisations to operate and develop networking services. The Core Network Engineer will support the business-as-usual activities including monitoring, on-going support, automation, and optimisation of the network services. They will recognise when projects and small works are required in support of this and contribute to the successful delivery of these and other projects. The role focusses on core routing technologies, network security, internet services and data centre networking. It will cover some campus wired and wireless services. Responsibilities of our Core Network Engineer - ITO: These include but are not limited to: Daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems, and key processes, reviewing system and application logs, support ticket queues and verifying completion of scheduled jobs such as backups Carrying out diagnosis and investigation of anomalies or in response to incidents, and working to resolve these in a timely manner both during and outside of normal working hours if necessary Continual service improvement across the full network service lifecycle, including identification and resolution of underlying technical or procedural issues to improve system reliability and performance, and the analysis and reporting of network data - capacity, performance, security access, and projected usage Automation of manual tasks following identification of those where this would bring material benefit in cost or time saving, or minimisation of human error Contributing to project work as technical lead and subject matter expert for core networking Ensuring that all deliverables are completed in a timely manner and to the appropriate level of quality Interacting with other Crick teams and service partners to operate and maintain networked services in the building, capture network connectivity requirements, produce appropriate designs, ensure smooth delivery of projects, and optimise systems Creating and maintaining operational and design documentation to ensure effective support and that the impact of future change requests can be assessed Skills and experience we are looking for in our Core Network Engineer - ITO: An undergraduate degree in a STEM subject, or equivalent experience Experience of core networking technologies Previous experience developing and supporting a network in a complex and similar scale enterprise environment A proven ability to use telemetry data to report agreed metrics Cisco CCNP/Juniper JNCIP or equivalent certification/industry experience Demonstrable knowledge in: Network security solutions including Firewall and VPN Layer 3 services and protocols including OSPF, BGP and VRFs Layer 2 services and protocols including QoS Campus Networking Data Centre Networking Network segmentation Wi-Fi technologies Network Access Control, IEEE 802.1X and RADIUS technologies DNS, DHCP, IPAM (DDI) systems Network monitoring and diagnostic tools Network infrastructure maintenance, software upgrades and troubleshooting Packet capture and analysis Developing network automation solutions, ideally in Python Desirable Previous experience or demonstrable understanding in the following: Structured Cabling Management Logfile Analysis Splunk Use of Application Programming Interfaces (APIs) Data Centre Cooling and Power Experience across multiple vendor networking technologies A demonstrable ability to balance multiple priorities and operate comfortably in an environment that is developing and changing rapidly Strong interpersonal skills and a proven track record of building effective working relationships at all levels Previous experience of working in a scientific/medical research environment Closing date: 26/May/.59 If you feel you have the skills and experience to become our Core Network Engineer - ITO , please click 'apply' today, we'd love to hear from you! All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom.