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.
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Apr 20, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Overview: Robert Half have partnered with a leading pharmaceutical logistics company who are seeking a talented Data Engineer to join their team, responsible for designing, building, and maintaining robust data pipelines and infrastructure. The ideal candidate will possess expertise in dbt, CI/CD processes, automated unit testing in a data context, and strong SQL skills. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to the advancement of data-driven initiatives. This role is a day rate contract of 3-6 months. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain scalable data pipelines using dbt. Collaborate with cross-functional teams to understand data requirements and implement best practices for data modelling. Ensure efficient data processing and transformation to support analytical and reporting needs. Continuous Integration and Deployment (CI/CD): Define and build CI/CD processes in dbt and DevOps environments. Establish quality control measures and automated testing frameworks for data pipeline reliability. Automated Unit Testing: Develop and implement automated unit testing strategies tailored to data context. Monitor test results to maintain data pipeline robustness and reliability. SQL Development and Optimisation: Utilise strong SQL skills to optimise database performance and implement schema changes aligned with business requirements. Communication and Collaboration: Communicate effectively with stakeholders and collaborate with data scientists and analysts. Deliver solutions that meet business objectives. Desirable Knowledge & Skills: Understanding of data modelling principles and frameworks. Familiarity with ETL techniques, especially Snap logic. Experience in Life Sciences/Pharmaceutical industry is desirable. Requirements: Experience of and expertise in dbt. Experience defining and building CI/CD processes (ideally in dbt and DevOps). Experience of automated unit testing in a data context. Strong SQL skills. Proven written and verbal communication skills, and attention to detail. Qualifications: Demonstrated experience in data engineering, ETL development, and database management. Certification in relevant technologies or platforms is a plus. Location: London Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: gb/en/privacy-notice Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website: gb/en/how-spot-recruitment-scams-and-protect-yourself
Apr 20, 2024
Full time
Overview: Robert Half have partnered with a leading pharmaceutical logistics company who are seeking a talented Data Engineer to join their team, responsible for designing, building, and maintaining robust data pipelines and infrastructure. The ideal candidate will possess expertise in dbt, CI/CD processes, automated unit testing in a data context, and strong SQL skills. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to the advancement of data-driven initiatives. This role is a day rate contract of 3-6 months. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain scalable data pipelines using dbt. Collaborate with cross-functional teams to understand data requirements and implement best practices for data modelling. Ensure efficient data processing and transformation to support analytical and reporting needs. Continuous Integration and Deployment (CI/CD): Define and build CI/CD processes in dbt and DevOps environments. Establish quality control measures and automated testing frameworks for data pipeline reliability. Automated Unit Testing: Develop and implement automated unit testing strategies tailored to data context. Monitor test results to maintain data pipeline robustness and reliability. SQL Development and Optimisation: Utilise strong SQL skills to optimise database performance and implement schema changes aligned with business requirements. Communication and Collaboration: Communicate effectively with stakeholders and collaborate with data scientists and analysts. Deliver solutions that meet business objectives. Desirable Knowledge & Skills: Understanding of data modelling principles and frameworks. Familiarity with ETL techniques, especially Snap logic. Experience in Life Sciences/Pharmaceutical industry is desirable. Requirements: Experience of and expertise in dbt. Experience defining and building CI/CD processes (ideally in dbt and DevOps). Experience of automated unit testing in a data context. Strong SQL skills. Proven written and verbal communication skills, and attention to detail. Qualifications: Demonstrated experience in data engineering, ETL development, and database management. Certification in relevant technologies or platforms is a plus. Location: London Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: gb/en/privacy-notice Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website: gb/en/how-spot-recruitment-scams-and-protect-yourself
Position Overview: We are seeking a talented Data Scientist with expertise in machine learning and natural language processing to join our team on a 6-month contract basis. As a Data Scientist, you will be responsible for developing and deploying advanced ML models and NLP algorithms to extract valuable insights from large datasets. Key Responsibilities: Utilize machine learning techniques to design, implement, and optimize predictive models for various business applications. Develop and deploy NLP algorithms to extract meaningful information from unstructured text data. Collaborate with cross-functional teams to identify opportunities for leveraging data science to solve business challenges. Conduct exploratory data analysis to uncover trends, patterns, and anomalies in the data. Evaluate the performance of ML and NLP models and implement enhancements as needed. Stay current with the latest advancements in data science, ML, and NLP research and technologies. This is a 6-month contract position with the possibility of extension based on project needs and performance. The position is fully remote paying 450 per day Outside IR35. If you are interested please send me a copy of your latest CV to removed) alongside your expected day rate so we can discuss further.
Apr 19, 2024
Contractor
Position Overview: We are seeking a talented Data Scientist with expertise in machine learning and natural language processing to join our team on a 6-month contract basis. As a Data Scientist, you will be responsible for developing and deploying advanced ML models and NLP algorithms to extract valuable insights from large datasets. Key Responsibilities: Utilize machine learning techniques to design, implement, and optimize predictive models for various business applications. Develop and deploy NLP algorithms to extract meaningful information from unstructured text data. Collaborate with cross-functional teams to identify opportunities for leveraging data science to solve business challenges. Conduct exploratory data analysis to uncover trends, patterns, and anomalies in the data. Evaluate the performance of ML and NLP models and implement enhancements as needed. Stay current with the latest advancements in data science, ML, and NLP research and technologies. This is a 6-month contract position with the possibility of extension based on project needs and performance. The position is fully remote paying 450 per day Outside IR35. If you are interested please send me a copy of your latest CV to removed) alongside your expected day rate so we can discuss further.
Machine Learning Engineer III page is loaded Machine Learning Engineer III Apply locations The Adelphi, London, GB time type Full time posted on Posted 23 Days Ago job requisition id R-15358 Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Job Description Location: London, GB Condé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, AD, Vanity Fair and Wired, among many others. Our award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month. We are headquartered in London and New York, and operate in 31 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the U.K. and the U.S., with local licence partners across the globe. What will you be doing? Participate in model design, optimization, testing, quality assurance, and defect resolution Design and implement scalable systems to convert large volumes of data into useful model features, reports, and datasets Deliver and orchestrate machine learning infrastructure within production environments Collaborate with Engineers and Scientists to architect and implement a shared vision Participate in the entire software development lifecycle, from concept to release Provide technical expertise to junior team members Who you are: Applicants should have a degree (M.S or Ph.D. preferred) in Computer Science or a related discipline or relevant professional experience Years of software development experience designing scalable systems related to machine learning or more general statistical analysis Strong software development skills with proficiency in Python or C++ Experience with analytics frameworks such as Pandas, Apache Spark, Dask, or Flink Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn Experience in cloud-based infrastructures such as AWS or GCP Exposure to orchestration platforms such as Apache Airflow or Kubeflow Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team What benefits do we offer ? Condé Nast Learning Hub where you'll find you'll find all Condé Nast-developed learning courses and trainings, and over 16,000+ courses in seven local languages 25 days holiday and extra days of annual leave life events like moving house or wanting to volunteer with a charity Hybrid working and core hours Competitive pension scheme Bupa Private Healthcare Season ticket loans Cycle to work Employee Assistance programme Bring your dog to work A wide variety of wellness benefits including gym discounts Discounts and Magazine Subscriptions Employee Resource Groups to provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce What happens next? If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics. About Us Condé Nast is a global media company home to iconic brands including Vogue, GQ, AD, Condé Nast Traveler, Vanity Fair, Wired, The New Yorker, Glamour, Allure, Bon Appétit, Self and many more. Headquartered in New York and London, the company produces award-winning journalism, content and entertainment for every platform today and operates in 32 markets worldwide including China, France, Germany, India, Italy, Japan, Mexico, Spain, the U.K. and U.S., and Taiwan. At Condé Nast we value diversity of background, views and cultures. We celebrate people for their personal qualities, their skills and contributions. And we recognize the power our brands have to influence and shape culture, catalyze action and help make our world a better place for all. For more information, please visit and for Twitter for Instagram.
Apr 19, 2024
Full time
Machine Learning Engineer III page is loaded Machine Learning Engineer III Apply locations The Adelphi, London, GB time type Full time posted on Posted 23 Days Ago job requisition id R-15358 Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Job Description Location: London, GB Condé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, AD, Vanity Fair and Wired, among many others. Our award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month. We are headquartered in London and New York, and operate in 31 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the U.K. and the U.S., with local licence partners across the globe. What will you be doing? Participate in model design, optimization, testing, quality assurance, and defect resolution Design and implement scalable systems to convert large volumes of data into useful model features, reports, and datasets Deliver and orchestrate machine learning infrastructure within production environments Collaborate with Engineers and Scientists to architect and implement a shared vision Participate in the entire software development lifecycle, from concept to release Provide technical expertise to junior team members Who you are: Applicants should have a degree (M.S or Ph.D. preferred) in Computer Science or a related discipline or relevant professional experience Years of software development experience designing scalable systems related to machine learning or more general statistical analysis Strong software development skills with proficiency in Python or C++ Experience with analytics frameworks such as Pandas, Apache Spark, Dask, or Flink Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn Experience in cloud-based infrastructures such as AWS or GCP Exposure to orchestration platforms such as Apache Airflow or Kubeflow Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team What benefits do we offer ? Condé Nast Learning Hub where you'll find you'll find all Condé Nast-developed learning courses and trainings, and over 16,000+ courses in seven local languages 25 days holiday and extra days of annual leave life events like moving house or wanting to volunteer with a charity Hybrid working and core hours Competitive pension scheme Bupa Private Healthcare Season ticket loans Cycle to work Employee Assistance programme Bring your dog to work A wide variety of wellness benefits including gym discounts Discounts and Magazine Subscriptions Employee Resource Groups to provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce What happens next? If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics. About Us Condé Nast is a global media company home to iconic brands including Vogue, GQ, AD, Condé Nast Traveler, Vanity Fair, Wired, The New Yorker, Glamour, Allure, Bon Appétit, Self and many more. Headquartered in New York and London, the company produces award-winning journalism, content and entertainment for every platform today and operates in 32 markets worldwide including China, France, Germany, India, Italy, Japan, Mexico, Spain, the U.K. and U.S., and Taiwan. At Condé Nast we value diversity of background, views and cultures. We celebrate people for their personal qualities, their skills and contributions. And we recognize the power our brands have to influence and shape culture, catalyze action and help make our world a better place for all. For more information, please visit and for Twitter for Instagram.
Location: London, Potters Bar, Bristol or Isle of Man (Hybrid working options available) Job Summary The Data Engineer is a technical role responsible for designing, developing, and maintaining data pipelines within the IT department. The pipelines will be realised in a modern lake environment and the engineer will collaborate in cross-functional teams to gather requirements and develop the conceptual data models. This role plays a crucial part in driving data-driven decision-making across the organisation, ensuring data availability, quality, and accessibility for various business needs. What you'll do Data Pipeline Development Design, model, develop and maintain data pipelines to ingest, store, process, and present data. Ensure data quality, accuracy, and consistency. Collaborate with data architects to ensure data pipelines align with the overall data architecture strategy. Data Transformation and Integration Perform data transformation tasks, including data cleansing, enrichment, and aggregation, to prepare data for analytics and reporting. Integrate data from structured and unstructured sources, ensuring compatibility and alignment with data models and business requirements. Automate data transformation processes to improve efficiency. Data Quality Assurance Implement and maintain data quality checks and validation processes to identify and resolve data anomalies and errors. Monitor data pipelines for data quality issues and implement data quality improvements. Collaborate with business stakeholders to define data quality requirements. Data Modelling and Schema Design Collaborate with data architects and data scientists to design and implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing performance and address bottlenecks as they arise. Stay updated with best practices in data processing performance tuning. Documentation and Knowledge Sharing Create and maintain documentation for data pipelines, data transformation processes, and data integration procedures. Foster a culture of knowledge sharing within the data engineering team and across the organization. Collaboration and Stakeholder Engagement Collaborate effectively with cross-functional teams, data stakeholders, and business units to understand data requirements and deliver data solutions that meet business needs. Communicate technical concepts and data solutions to non-technical stakeholders in a clear and understandable manner. Must Have Skills/Experience Essential: Commercial experience of DataBricks, SQL, Python, Power BI Experience in data engineering, including designing and developing data pipelines for retrieval / ingestion / presentation / semantics in an Azure environment. Effective communication and collaboration skills to work with cross-functional teams and gather data requirements. Skills in data modelling (both structured and unstructured data) Desirable: Power Automate Data optimisation for performance, scalability, and efficiency. Experience in a financial corporation
Apr 19, 2024
Full time
Location: London, Potters Bar, Bristol or Isle of Man (Hybrid working options available) Job Summary The Data Engineer is a technical role responsible for designing, developing, and maintaining data pipelines within the IT department. The pipelines will be realised in a modern lake environment and the engineer will collaborate in cross-functional teams to gather requirements and develop the conceptual data models. This role plays a crucial part in driving data-driven decision-making across the organisation, ensuring data availability, quality, and accessibility for various business needs. What you'll do Data Pipeline Development Design, model, develop and maintain data pipelines to ingest, store, process, and present data. Ensure data quality, accuracy, and consistency. Collaborate with data architects to ensure data pipelines align with the overall data architecture strategy. Data Transformation and Integration Perform data transformation tasks, including data cleansing, enrichment, and aggregation, to prepare data for analytics and reporting. Integrate data from structured and unstructured sources, ensuring compatibility and alignment with data models and business requirements. Automate data transformation processes to improve efficiency. Data Quality Assurance Implement and maintain data quality checks and validation processes to identify and resolve data anomalies and errors. Monitor data pipelines for data quality issues and implement data quality improvements. Collaborate with business stakeholders to define data quality requirements. Data Modelling and Schema Design Collaborate with data architects and data scientists to design and implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing performance and address bottlenecks as they arise. Stay updated with best practices in data processing performance tuning. Documentation and Knowledge Sharing Create and maintain documentation for data pipelines, data transformation processes, and data integration procedures. Foster a culture of knowledge sharing within the data engineering team and across the organization. Collaboration and Stakeholder Engagement Collaborate effectively with cross-functional teams, data stakeholders, and business units to understand data requirements and deliver data solutions that meet business needs. Communicate technical concepts and data solutions to non-technical stakeholders in a clear and understandable manner. Must Have Skills/Experience Essential: Commercial experience of DataBricks, SQL, Python, Power BI Experience in data engineering, including designing and developing data pipelines for retrieval / ingestion / presentation / semantics in an Azure environment. Effective communication and collaboration skills to work with cross-functional teams and gather data requirements. Skills in data modelling (both structured and unstructured data) Desirable: Power Automate Data optimisation for performance, scalability, and efficiency. Experience in a financial corporation
Location: London, Potters Bar, Bristol or Isle of Man (hybrid working options available) The Lead Data Engineer is a hands-on technical role responsible for designing, developing, and maintaining data pipelines within the IT department. The pipelines will be realised in a modern lake environment and the engineer will collaborate in cross-functional teams to gather requirements and develop the conceptual data models. This role plays a crucial part in driving data-driven decision-making across the organisation, ensuring data availability, quality, and accessibility for various business needs. This is not a line management role, but you will play a key part in guiding and upskilling more junior data engineers and setting data standards and guidelines. Duties/Responsibilities Data Pipeline Development Design, model, develop and maintain data pipelines to ingest, store, process, and present data. Ensure data quality, accuracy, and consistency. Collaborate with data architects to ensure data pipelines align with the overall data architecture strategy. Data Transformation and Integration Perform data transformation tasks, including data cleansing, enrichment, and aggregation, to prepare data for analytics and reporting. Integrate data from structured and unstructured sources, ensuring compatibility and alignment with data models and business requirements. Automate data transformation processes to improve efficiency. Data Quality Assurance Implement and maintain data quality checks and validation processes to identify and resolve data anomalies and errors. Monitor data pipelines for data quality issues and implement data quality improvements. Collaborate with business stakeholders to define data quality requirements. Data Modelling and Schema Design Collaborate with data architects and data scientists to design and implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing performance and address bottlenecks as they arise. Stay updated with best practices in data processing performance tuning. Documentation and Knowledge Sharing Create and maintain documentation for data pipelines, data transformation processes, and data integration procedures. Foster a culture of knowledge sharing within the data engineering team and across the organization. Collaboration and Stakeholder Engagement Collaborate effectively with cross-functional teams, data stakeholders, and business units to understand data requirements and deliver data solutions that meet business needs. Communicate technical concepts and data solutions to non-technical stakeholders in a clear and understandable manner. Knowledge/Skills/Experience Essential Extensive experience in data engineering, including designing and developing data pipelines for retrieval / ingestion / presentation / semantics in an Azure environment. Strong DataBricks, SQL, Python, Power BI Data acquisition from various data sources including Salesforce, API, XML, json, parquet, flat file systems and relational data. Effective communication and collaboration skills to work with cross-functional teams and gather data requirements. Skills in data modelling (both structured and unstructured data) working directly with the business & data scientists. Ability to optimise data solutions for performance, scalability, and efficiency. Desirable: Experience in a financial corporation Lake House / Delta Lake and Snowflake Experience with Spark clusters, both elastic permanent and transitory clusters Familiarity with data governance, data security, and compliance requirements. Power Automate.
Apr 19, 2024
Full time
Location: London, Potters Bar, Bristol or Isle of Man (hybrid working options available) The Lead Data Engineer is a hands-on technical role responsible for designing, developing, and maintaining data pipelines within the IT department. The pipelines will be realised in a modern lake environment and the engineer will collaborate in cross-functional teams to gather requirements and develop the conceptual data models. This role plays a crucial part in driving data-driven decision-making across the organisation, ensuring data availability, quality, and accessibility for various business needs. This is not a line management role, but you will play a key part in guiding and upskilling more junior data engineers and setting data standards and guidelines. Duties/Responsibilities Data Pipeline Development Design, model, develop and maintain data pipelines to ingest, store, process, and present data. Ensure data quality, accuracy, and consistency. Collaborate with data architects to ensure data pipelines align with the overall data architecture strategy. Data Transformation and Integration Perform data transformation tasks, including data cleansing, enrichment, and aggregation, to prepare data for analytics and reporting. Integrate data from structured and unstructured sources, ensuring compatibility and alignment with data models and business requirements. Automate data transformation processes to improve efficiency. Data Quality Assurance Implement and maintain data quality checks and validation processes to identify and resolve data anomalies and errors. Monitor data pipelines for data quality issues and implement data quality improvements. Collaborate with business stakeholders to define data quality requirements. Data Modelling and Schema Design Collaborate with data architects and data scientists to design and implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing performance and address bottlenecks as they arise. Stay updated with best practices in data processing performance tuning. Documentation and Knowledge Sharing Create and maintain documentation for data pipelines, data transformation processes, and data integration procedures. Foster a culture of knowledge sharing within the data engineering team and across the organization. Collaboration and Stakeholder Engagement Collaborate effectively with cross-functional teams, data stakeholders, and business units to understand data requirements and deliver data solutions that meet business needs. Communicate technical concepts and data solutions to non-technical stakeholders in a clear and understandable manner. Knowledge/Skills/Experience Essential Extensive experience in data engineering, including designing and developing data pipelines for retrieval / ingestion / presentation / semantics in an Azure environment. Strong DataBricks, SQL, Python, Power BI Data acquisition from various data sources including Salesforce, API, XML, json, parquet, flat file systems and relational data. Effective communication and collaboration skills to work with cross-functional teams and gather data requirements. Skills in data modelling (both structured and unstructured data) working directly with the business & data scientists. Ability to optimise data solutions for performance, scalability, and efficiency. Desirable: Experience in a financial corporation Lake House / Delta Lake and Snowflake Experience with Spark clusters, both elastic permanent and transitory clusters Familiarity with data governance, data security, and compliance requirements. Power Automate.
A career without limits Download Job Description As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. Principal Data Scientist - Machine Learning Products As a Principal Data Scientist specialising in Data Science and Machine Learning at British Airways, you will lead the development and implementation of advanced analytics solutions leveraging cutting-edge techniques to drive product development and enhance decision-making processes. Your expertise in data science and machine learning will be pivotal in driving innovation and business growth. Scope: Lead the development and delivery of analysis, insights, and models using data science and machine learning techniques to address key business issues and improve decision-making effectiveness. Employ a structured approach to tackle complex business problems, translating business requirements into scalable machine learning models and data products. Implement predictive and prescriptive algorithms at scale, integrating machine learning techniques into digital tools and products to enhance user experience and operational efficiency. Create new metrics, reports, and dashboards using historical and real-time data to support business decision-making processes, focusing on product development and innovation. Become an expert on data within the business area, driving product development initiatives and leveraging data science to deliver actionable insights and drive business growth. Stay abreast of major developments in data science and machine learning, supporting a culture of continuous learning and innovation within the team. Accountabilities: Lead the creation of quantitative models and products to address critical business issues, with a strong emphasis on data science and machine learning techniques. Collaborate with stakeholders to translate business requirements into scalable machine learning solutions, driving product development and innovation. Implement machine learning algorithms in production environments, integrating them into digital tools and products to enhance user experience and drive business growth. Create new metrics, reports, and dashboards using historical and live data to support decision-making, focusing on product development and innovation. Manage own portfolio of work, adhering to best practices for technology architecture and development processes, with a focus on product development and innovation. Communicate technical topics and key insights to both technical and non-technical audiences, highlighting the role of data science and machine learning in driving product development and business growth. Maintain strong relationships with business stakeholders and users, driving product development initiatives and leveraging data science to deliver value-added solutions. Skills/Capabilities: Advanced analytical skills, including expertise in data science, machine learning, and product development. Strong communication skills, with the ability to translate complex technical concepts into actionable insights for product development and business growth. Proficiency in Python and other programming languages, with experience in developing and deploying machine learning models in production environments. Numerate degree with a focus on data science, machine learning, or related field, with a track record of driving product development and innovation. Deep knowledge of a specific area of the business and understanding of the business plan and key initiatives, with a focus on leveraging data science and machine learning to drive business growth. What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Apr 19, 2024
Full time
A career without limits Download Job Description As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. Principal Data Scientist - Machine Learning Products As a Principal Data Scientist specialising in Data Science and Machine Learning at British Airways, you will lead the development and implementation of advanced analytics solutions leveraging cutting-edge techniques to drive product development and enhance decision-making processes. Your expertise in data science and machine learning will be pivotal in driving innovation and business growth. Scope: Lead the development and delivery of analysis, insights, and models using data science and machine learning techniques to address key business issues and improve decision-making effectiveness. Employ a structured approach to tackle complex business problems, translating business requirements into scalable machine learning models and data products. Implement predictive and prescriptive algorithms at scale, integrating machine learning techniques into digital tools and products to enhance user experience and operational efficiency. Create new metrics, reports, and dashboards using historical and real-time data to support business decision-making processes, focusing on product development and innovation. Become an expert on data within the business area, driving product development initiatives and leveraging data science to deliver actionable insights and drive business growth. Stay abreast of major developments in data science and machine learning, supporting a culture of continuous learning and innovation within the team. Accountabilities: Lead the creation of quantitative models and products to address critical business issues, with a strong emphasis on data science and machine learning techniques. Collaborate with stakeholders to translate business requirements into scalable machine learning solutions, driving product development and innovation. Implement machine learning algorithms in production environments, integrating them into digital tools and products to enhance user experience and drive business growth. Create new metrics, reports, and dashboards using historical and live data to support decision-making, focusing on product development and innovation. Manage own portfolio of work, adhering to best practices for technology architecture and development processes, with a focus on product development and innovation. Communicate technical topics and key insights to both technical and non-technical audiences, highlighting the role of data science and machine learning in driving product development and business growth. Maintain strong relationships with business stakeholders and users, driving product development initiatives and leveraging data science to deliver value-added solutions. Skills/Capabilities: Advanced analytical skills, including expertise in data science, machine learning, and product development. Strong communication skills, with the ability to translate complex technical concepts into actionable insights for product development and business growth. Proficiency in Python and other programming languages, with experience in developing and deploying machine learning models in production environments. Numerate degree with a focus on data science, machine learning, or related field, with a track record of driving product development and innovation. Deep knowledge of a specific area of the business and understanding of the business plan and key initiatives, with a focus on leveraging data science and machine learning to drive business growth. What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Site Name: London The Stanley Building Posted Date: Apr 8 2024 At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talents Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user-facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and multi-omics applications. We are seeking a highly skilled and experienced Senior Product Manager for our multi-omics products. In this role, you will be responsible for developing and executing the product strategy of our Omics Workbench to meet internal GSK customers' needs. You will partner closely with the leaders of Onyx's teams along with the verticals under Research Technology, to deliver industry-leading multi-omics products that power downstream consumption of petabytes of business-critical data. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of the Omics Workbench. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx platform products. In this role you will Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for our multi-omics product portfolio, aligned with Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. Cross-Functional Collaboration: Collaborate with R&D customers, R&D Digital & Tech organization, and Onyx engineering teams to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Stakeholder Management: Engage with key stakeholders, including senior Technology leadership and customer organizations to provide updates on product performance, roadmap, and future plans. Industry Thought Leadership: Stay abreast of industry trends, best practices, and emerging technologies in the omics technology space. Share insights and act as a thought leader within the organization and industry events. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelor's degree in bioinformatics, Computational Biology, Software Engineering, or related discipline Experience working in software engineering, software development, bioinformatics, or product management in the genomics tools space Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Proficiency with modern bioinformatic pipeline development tools such as Nextflow/Nextflow Tower, Snakemake, Git/GitHub, Docker, and CI/CD methodologies. Experience in handling raw omics data and its derivatives, including but not limited to fastq files, pipeline outputs, and transforming them into analytical or application-ready formats. Familiarity with a range of data engineering tools including CloudRun, Spark, and both SQL and NoSQL databases. Working knowledge of at least one programming language, such as Python, Java, or Scala. Familiarity with cloud computing environments, including but not limited to GCP (Preferred), Azure, and AWS Experience working in agile software development environments, utilizing tools like Jira and Confluence. Experience with one or more omics pipelines (e.g., RNAseq, GWAS, WGS, etc.). Understanding of metadata management and data governance concepts. Experience: Extensive experience in product development and management, focusing on bioinformatics platform/tool products. Demonstrated success in launching and managing high-stakes enterprise engineering products for bioinformatics, data science, AI/ML, and analytics data consumption. Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Skills: Strong analytical and problem-solving skills, with a propensity for making data-driven decisions. Exceptional leadership abilities and a proactive, self-driven approach. Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities. Proficiency in distilling complex user requirements and translating them into product releases. Excellent communication, collaboration, and stakeholder management skills. Closing Date for Applications: Monday 29th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. . click apply for full job details
Apr 19, 2024
Full time
Site Name: London The Stanley Building Posted Date: Apr 8 2024 At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talents Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user-facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and multi-omics applications. We are seeking a highly skilled and experienced Senior Product Manager for our multi-omics products. In this role, you will be responsible for developing and executing the product strategy of our Omics Workbench to meet internal GSK customers' needs. You will partner closely with the leaders of Onyx's teams along with the verticals under Research Technology, to deliver industry-leading multi-omics products that power downstream consumption of petabytes of business-critical data. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of the Omics Workbench. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx platform products. In this role you will Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for our multi-omics product portfolio, aligned with Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. Cross-Functional Collaboration: Collaborate with R&D customers, R&D Digital & Tech organization, and Onyx engineering teams to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Stakeholder Management: Engage with key stakeholders, including senior Technology leadership and customer organizations to provide updates on product performance, roadmap, and future plans. Industry Thought Leadership: Stay abreast of industry trends, best practices, and emerging technologies in the omics technology space. Share insights and act as a thought leader within the organization and industry events. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelor's degree in bioinformatics, Computational Biology, Software Engineering, or related discipline Experience working in software engineering, software development, bioinformatics, or product management in the genomics tools space Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Proficiency with modern bioinformatic pipeline development tools such as Nextflow/Nextflow Tower, Snakemake, Git/GitHub, Docker, and CI/CD methodologies. Experience in handling raw omics data and its derivatives, including but not limited to fastq files, pipeline outputs, and transforming them into analytical or application-ready formats. Familiarity with a range of data engineering tools including CloudRun, Spark, and both SQL and NoSQL databases. Working knowledge of at least one programming language, such as Python, Java, or Scala. Familiarity with cloud computing environments, including but not limited to GCP (Preferred), Azure, and AWS Experience working in agile software development environments, utilizing tools like Jira and Confluence. Experience with one or more omics pipelines (e.g., RNAseq, GWAS, WGS, etc.). Understanding of metadata management and data governance concepts. Experience: Extensive experience in product development and management, focusing on bioinformatics platform/tool products. Demonstrated success in launching and managing high-stakes enterprise engineering products for bioinformatics, data science, AI/ML, and analytics data consumption. Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Skills: Strong analytical and problem-solving skills, with a propensity for making data-driven decisions. Exceptional leadership abilities and a proactive, self-driven approach. Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities. Proficiency in distilling complex user requirements and translating them into product releases. Excellent communication, collaboration, and stakeholder management skills. Closing Date for Applications: Monday 29th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. . click apply for full job details
Senior Data Scientist - Hybrid / Remote (one day on-site)- West London - up to 70,000 Our client is a pioneer in the food & beverage industry are they are now looking for a Data Scientist to work in a team of 7 and organise their financial data.In this role you will be in an agile squad with Data Scientists and Data engineers at different levels of seniority. Your task will evolve around anlaysing their financial data and you need to make this data available for other stakeholders across the business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk / insurance / FX Rates / Commodity pricing) is a bonus Benefits: Flexible working and a guaranteed Bonus of 5% (or more) If you are interested, submit your CV by applying directly or contacting Rosen at (url removed) Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Apr 19, 2024
Full time
Senior Data Scientist - Hybrid / Remote (one day on-site)- West London - up to 70,000 Our client is a pioneer in the food & beverage industry are they are now looking for a Data Scientist to work in a team of 7 and organise their financial data.In this role you will be in an agile squad with Data Scientists and Data engineers at different levels of seniority. Your task will evolve around anlaysing their financial data and you need to make this data available for other stakeholders across the business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk / insurance / FX Rates / Commodity pricing) is a bonus Benefits: Flexible working and a guaranteed Bonus of 5% (or more) If you are interested, submit your CV by applying directly or contacting Rosen at (url removed) Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
J2R - Data Scientist - Job Description Data Scientist Opportunity in London Position Overview: Join our dynamic team in shaping the data strategy for a prominent European retail chain. We're seeking a proactive and adaptable Data Scientist who is passionate about leveraging data science to address diverse business challenges. Responsibilities: Dive into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling and forecasting Exposure to Cloud Environments like GCP or AWS Knowledge of Bash, Unix, and version control systems like Git Understanding of Object-Oriented Programming principles About Us: Our client was founded by experts in machine learning and industry veterans, is dedicated to unlocking the value of data and technology. We specialize in applying cutting-edge research to solve complex challenges, with a focus on retail, pharmaceuticals, biotech, and law. What they offer: Opportunities for creative expression in tech and science Exposure to impactful AI projects with direct client impact Influence on customer value and AI strategy Chance to see your work deployed at scale Ownership and autonomy over projects Supportive environment with experienced mentors Contribution to the long-term growth of a dynamic company
Apr 19, 2024
Full time
J2R - Data Scientist - Job Description Data Scientist Opportunity in London Position Overview: Join our dynamic team in shaping the data strategy for a prominent European retail chain. We're seeking a proactive and adaptable Data Scientist who is passionate about leveraging data science to address diverse business challenges. Responsibilities: Dive into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling and forecasting Exposure to Cloud Environments like GCP or AWS Knowledge of Bash, Unix, and version control systems like Git Understanding of Object-Oriented Programming principles About Us: Our client was founded by experts in machine learning and industry veterans, is dedicated to unlocking the value of data and technology. We specialize in applying cutting-edge research to solve complex challenges, with a focus on retail, pharmaceuticals, biotech, and law. What they offer: Opportunities for creative expression in tech and science Exposure to impactful AI projects with direct client impact Influence on customer value and AI strategy Chance to see your work deployed at scale Ownership and autonomy over projects Supportive environment with experienced mentors Contribution to the long-term growth of a dynamic company
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Apr 19, 2024
Full time
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
A health tech company based in London, with a team of doctors, researchers, developers and data scientists that bring together software engineering, machine learning expertise and medical experience to build clinical algorithms for primary care clinicians. The team is dedicated to creating digital health software to deliver Population Health interventions individualised to patients. This involves continuous scanning the entire health record of a patient to detect signals of deterioration, early onset of new disease and opportunities for preventative interventions working with over 250 primary care practices covering 2.5 million patients. About the role: - Back-End (Mid/Senior) - Works well in a fast moving team and communicates effectively with non-technical team members. - Building back-end components for our applications. - Proficient in developing scalable cloud-based applications with Python and NodeJS, and will ideally have experience working with AWS. Responsibilities: Write well-tested, scalable back-end application code Work with a small, close knit, diverse multi-disciplinary team of developers, data scientists and doctors Requirements Back-end development in Python; experience with NodeJS is a plus Building, testing, and deploying applications on a cloud platform (preferably AWS) Experience with SQL/NoSQL databases and building data ingestion pipelines DevOps/cloud infrastructure management (CloudFormation/Terraform or similar) Experience with server-less applications (AWS Lambda or similar) Benefits Salary range £65,000 - £75,000 Private Pension Hybrid working / Remote Company's office in Paddington Motivated, highly functioning, multi-disciplinary team Opportunity to be involved in ground-breaking technology impacting patient health
Apr 19, 2024
Full time
A health tech company based in London, with a team of doctors, researchers, developers and data scientists that bring together software engineering, machine learning expertise and medical experience to build clinical algorithms for primary care clinicians. The team is dedicated to creating digital health software to deliver Population Health interventions individualised to patients. This involves continuous scanning the entire health record of a patient to detect signals of deterioration, early onset of new disease and opportunities for preventative interventions working with over 250 primary care practices covering 2.5 million patients. About the role: - Back-End (Mid/Senior) - Works well in a fast moving team and communicates effectively with non-technical team members. - Building back-end components for our applications. - Proficient in developing scalable cloud-based applications with Python and NodeJS, and will ideally have experience working with AWS. Responsibilities: Write well-tested, scalable back-end application code Work with a small, close knit, diverse multi-disciplinary team of developers, data scientists and doctors Requirements Back-end development in Python; experience with NodeJS is a plus Building, testing, and deploying applications on a cloud platform (preferably AWS) Experience with SQL/NoSQL databases and building data ingestion pipelines DevOps/cloud infrastructure management (CloudFormation/Terraform or similar) Experience with server-less applications (AWS Lambda or similar) Benefits Salary range £65,000 - £75,000 Private Pension Hybrid working / Remote Company's office in Paddington Motivated, highly functioning, multi-disciplinary team Opportunity to be involved in ground-breaking technology impacting patient health
Senior Data Scientist (Python Real-time Data) London / WFH to £95k Hugely successful, profitable energy trading market data start-up is seeking a talented Senior Data Scientist to join their growing team. This is an excellent opportunity to join a well-funded company that have secured relationships with big name clients; you'll see the results of your work, have your voice heard and make a real difference, quickly progressing to a leadership role if desired. As a Senior Data Scientist you will be key to delivering accurate forward curves to globally influential clients, using proprietary pricing datasets in Futures Markets. You'll collaborate with engineering and product teams to initiate, plan and build new data products, taking a lead on everything related to data science and providing Subject Matter Expertise to the CTO and CEO. You'll endeavour to make improvements and enhance the role of Data Science across the business. Location/ WFH: You'll be able to work from home most of the time, meeting up with colleagues in the London office 1-2 days a week (or more often if desired). About you: You're a Senior Data Scientist with strong Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series data You have experience of collaborating with software engineers to deliver data products to market You have an academic record of achievement, 2.1 or above from a top tier university at BSc, MSC / PhD not required but highly regarded What's in it for you: Competitive salary, to £95k Stock options Hybrid working (1-2 days London office per week) Continuous career development and learning opportunities Influential role as part of a small, close knit team Apply now to find out more about this Senior Data Scientist (Python Real-time Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Apr 19, 2024
Full time
Senior Data Scientist (Python Real-time Data) London / WFH to £95k Hugely successful, profitable energy trading market data start-up is seeking a talented Senior Data Scientist to join their growing team. This is an excellent opportunity to join a well-funded company that have secured relationships with big name clients; you'll see the results of your work, have your voice heard and make a real difference, quickly progressing to a leadership role if desired. As a Senior Data Scientist you will be key to delivering accurate forward curves to globally influential clients, using proprietary pricing datasets in Futures Markets. You'll collaborate with engineering and product teams to initiate, plan and build new data products, taking a lead on everything related to data science and providing Subject Matter Expertise to the CTO and CEO. You'll endeavour to make improvements and enhance the role of Data Science across the business. Location/ WFH: You'll be able to work from home most of the time, meeting up with colleagues in the London office 1-2 days a week (or more often if desired). About you: You're a Senior Data Scientist with strong Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series data You have experience of collaborating with software engineers to deliver data products to market You have an academic record of achievement, 2.1 or above from a top tier university at BSc, MSC / PhD not required but highly regarded What's in it for you: Competitive salary, to £95k Stock options Hybrid working (1-2 days London office per week) Continuous career development and learning opportunities Influential role as part of a small, close knit team Apply now to find out more about this Senior Data Scientist (Python Real-time Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
We are delighted to be working with one our Cambridge based clients. They are recruiting for a Full-Stack Developer join their team on a full time, permanent basis. Key responsibilities will include: Taking an active role in supporting one of the flagship products Overseeing development, bug fixing and creation of new features Implementing both front-end and back-end features of the web application Working closely with internal teams to implement APIs Liaising with a host of internal teams e.g. project management and data scientists Expanding your skills and knowledge to stay up to date with the latest developments in technologies Representing the team at external meetings The successful candidate will have: Experience in similar role Experience building websites Extensive experience using Node.js and React Experience with TypeScript Experience with test driven development Experience working with MongoDB, Elasticsearch (desirable) Experience with Gatsby framework (desirable) If this role looks like your next challenge, please contact Jamie ASAP or apply via this advert!We endeavour to reply to every candidate, every time but if you haven't heard back within 10 days, please understand that you have unfortunately been unsuccessful for this position, or the position has been filled. Please call the office or send an email to discuss other potential positions.
Apr 19, 2024
Full time
We are delighted to be working with one our Cambridge based clients. They are recruiting for a Full-Stack Developer join their team on a full time, permanent basis. Key responsibilities will include: Taking an active role in supporting one of the flagship products Overseeing development, bug fixing and creation of new features Implementing both front-end and back-end features of the web application Working closely with internal teams to implement APIs Liaising with a host of internal teams e.g. project management and data scientists Expanding your skills and knowledge to stay up to date with the latest developments in technologies Representing the team at external meetings The successful candidate will have: Experience in similar role Experience building websites Extensive experience using Node.js and React Experience with TypeScript Experience with test driven development Experience working with MongoDB, Elasticsearch (desirable) Experience with Gatsby framework (desirable) If this role looks like your next challenge, please contact Jamie ASAP or apply via this advert!We endeavour to reply to every candidate, every time but if you haven't heard back within 10 days, please understand that you have unfortunately been unsuccessful for this position, or the position has been filled. Please call the office or send an email to discuss other potential positions.
An exciting health-tech start-up is looking to hire 3x Data Scientists to join their growing team. The role will focus on creating digital health software that will help detect patient signals of early onset of diseases and deterioration. As the successful candidate, you will get to develop predictive models from longitudinal datasets and perform machine learning experiments on clinical datasets. You will get to work with some of the most innovative tools in the market, including scikit-learn, pandas, Tensorflow, Pytorch, spaCy, and the AWS data stack. The role is hybrid, in central London (zone 1) and they are offering £75,000 - £95,000 depending on experience. Requirements: Expert knowledge of Python and SQL AWS is the preferred cloud, GCP and Azure might be considered if the rest of the experience aligns fully to the role requirements Experience with Natural Language Processing (NLP) and MLOps is a must Experience in healthcare, or health tech sector is ideal but not necessary If you are looking to work for a rapidly growing start up, that will improve patient's lives, then this is the perfect role for you. Don't miss the chance and apply now below! Lawrence Harvey is acting as an Employment Business in regards to this position. Visit our website and follow us on Twitter for all live vacancies (lawharveyjobs)
Apr 19, 2024
Full time
An exciting health-tech start-up is looking to hire 3x Data Scientists to join their growing team. The role will focus on creating digital health software that will help detect patient signals of early onset of diseases and deterioration. As the successful candidate, you will get to develop predictive models from longitudinal datasets and perform machine learning experiments on clinical datasets. You will get to work with some of the most innovative tools in the market, including scikit-learn, pandas, Tensorflow, Pytorch, spaCy, and the AWS data stack. The role is hybrid, in central London (zone 1) and they are offering £75,000 - £95,000 depending on experience. Requirements: Expert knowledge of Python and SQL AWS is the preferred cloud, GCP and Azure might be considered if the rest of the experience aligns fully to the role requirements Experience with Natural Language Processing (NLP) and MLOps is a must Experience in healthcare, or health tech sector is ideal but not necessary If you are looking to work for a rapidly growing start up, that will improve patient's lives, then this is the perfect role for you. Don't miss the chance and apply now below! Lawrence Harvey is acting as an Employment Business in regards to this position. Visit our website and follow us on Twitter for all live vacancies (lawharveyjobs)