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.
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Apr 17, 2024
Full time
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Head of Data Science - Future Mobility - Remote UK Join our Future Mobility team at Aon and revolutionize vehicle insurance products with real-time, behaviour-based risk and safety analytics. As the Head of Data Science, you'll lead our initiative to harness streaming telematics data, leveraging driver behaviour, usage, and geo-spatial features to craft innovative insurance solutions that resonate with users. Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed. Your Role: As the Head of Data Science, you are the forefront of our technical and strategic vision in the analytics and data science domain. Your leadership will shape the future of our data-driven products and set the direction for how we leverage technology to achieve our goals. Your day-to-day responsibilities include: Technical Strategy and Vision: Establishing and driving the technical strategy for analytics and data science across the team. You'll ensure our approaches are scalable, innovative, and aligned with our mission to redefine mobility insurance. Leading a High-Caliber Team: Leading a team of talented data scientists, fostering an environment of creativity and excellence. Your leadership will encourage a culture of continuous learning and development, empowering your team to innovate and excel. Designing, training, deploying and owning predictive models: This is a hands-on role that involves building and taking full ownership of models in production, monitoring their performance and ensuring their reliability and effectiveness through the use of best-in-class MLOps practices. Your work will directly influence our product offerings and the future of telematics-based insurance products. Strategic Collaboration: Working alongside our product team and a team of talented engineers on our cutting-edge platform you'll ensure that our data strategies complement business objectives, driving growth and innovation. This role is key to advancing our analytics capabilities and shaping the landscape of data science within the mobility and insurance sectors. Who You Are: Deep experience with: Python development, with a portfolio of large scale production-grade ML services. Deep understanding of ML, applied statistics, and relevant data science Python libraries. Proven expertise in deep learning and ownership of production models. Proven track record of running high functioning data science teams Nice-to-Haves: Experience in telematics, signal processing, geo-spatial analytics, autonomous vehicles, insurance analytics & pricing or accident modelling. Familiarity with distributed computing frameworks. Our Ethos: Empowerment & Autonomy: Trust is our foundation. Open Collaboration: Your voice matters. We grow through shared insights. Shared Mission: Together, we're making roads safer. How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work and we are all for it. We call this Smart Working! Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation on Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.
Apr 17, 2024
Full time
Head of Data Science - Future Mobility - Remote UK Join our Future Mobility team at Aon and revolutionize vehicle insurance products with real-time, behaviour-based risk and safety analytics. As the Head of Data Science, you'll lead our initiative to harness streaming telematics data, leveraging driver behaviour, usage, and geo-spatial features to craft innovative insurance solutions that resonate with users. Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed. Your Role: As the Head of Data Science, you are the forefront of our technical and strategic vision in the analytics and data science domain. Your leadership will shape the future of our data-driven products and set the direction for how we leverage technology to achieve our goals. Your day-to-day responsibilities include: Technical Strategy and Vision: Establishing and driving the technical strategy for analytics and data science across the team. You'll ensure our approaches are scalable, innovative, and aligned with our mission to redefine mobility insurance. Leading a High-Caliber Team: Leading a team of talented data scientists, fostering an environment of creativity and excellence. Your leadership will encourage a culture of continuous learning and development, empowering your team to innovate and excel. Designing, training, deploying and owning predictive models: This is a hands-on role that involves building and taking full ownership of models in production, monitoring their performance and ensuring their reliability and effectiveness through the use of best-in-class MLOps practices. Your work will directly influence our product offerings and the future of telematics-based insurance products. Strategic Collaboration: Working alongside our product team and a team of talented engineers on our cutting-edge platform you'll ensure that our data strategies complement business objectives, driving growth and innovation. This role is key to advancing our analytics capabilities and shaping the landscape of data science within the mobility and insurance sectors. Who You Are: Deep experience with: Python development, with a portfolio of large scale production-grade ML services. Deep understanding of ML, applied statistics, and relevant data science Python libraries. Proven expertise in deep learning and ownership of production models. Proven track record of running high functioning data science teams Nice-to-Haves: Experience in telematics, signal processing, geo-spatial analytics, autonomous vehicles, insurance analytics & pricing or accident modelling. Familiarity with distributed computing frameworks. Our Ethos: Empowerment & Autonomy: Trust is our foundation. Open Collaboration: Your voice matters. We grow through shared insights. Shared Mission: Together, we're making roads safer. How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work and we are all for it. We call this Smart Working! Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation on Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.
Senior Software Engineer (Python) Location: London - Hybrid (Three Days a Week in Office) Salary: Up to £70,000 + Benefits Overview: An exciting opportunity awaits a Senior Software Engineer to join a rapidly growing digital marketing agency in London. With complete autonomy over their work, the chosen candidate will be part of a team doubling in size within the next 12 months. Collaborating closely with data scientists and machine learning experts, this role promises exposure to cutting-edge projects and skill development opportunities. The Role: As a Senior Software Engineer, your responsibilities will include: Designing, developing, and maintaining software using Python. Advocating and implementing best practices throughout the software engineering life cycle. Managing cloud technologies, with a focus on Google Cloud Platform (GCP). Leading automation projects to enhance efficiency. Maintaining and developing data pipelines. Enhancing internal and external tools. Collaborating with data engineers and the wider team to build data platforms. Skills and Expertise: To be considered for this prestigious role, candidates must possess the following qualifications and attributes: A demonstrated proficiency in Python programming, coupled with a keen eye for detail and a passion for crafting elegant and efficient solutions to complex problems. Substantial commercial experience in working with cloud technologies, exemplified by a deep understanding of cloud platforms and their associated services (ideally GCP). Proven expertise in deploying and managing containerized applications using Docker within commercial environments, showcasing a knack for optimizing software delivery and deployment processes. A proactive approach to learning and contributing to front-end development, coupled with a strong commitment to staying abreast of emerging technologies, industry trends, and best practices. Salary: In this role, you will have the opportunity to earn a competitive salary of up to £70,000, complemented by a comprehensive benefits package designed to support your personal and professional well-being.
Apr 17, 2024
Full time
Senior Software Engineer (Python) Location: London - Hybrid (Three Days a Week in Office) Salary: Up to £70,000 + Benefits Overview: An exciting opportunity awaits a Senior Software Engineer to join a rapidly growing digital marketing agency in London. With complete autonomy over their work, the chosen candidate will be part of a team doubling in size within the next 12 months. Collaborating closely with data scientists and machine learning experts, this role promises exposure to cutting-edge projects and skill development opportunities. The Role: As a Senior Software Engineer, your responsibilities will include: Designing, developing, and maintaining software using Python. Advocating and implementing best practices throughout the software engineering life cycle. Managing cloud technologies, with a focus on Google Cloud Platform (GCP). Leading automation projects to enhance efficiency. Maintaining and developing data pipelines. Enhancing internal and external tools. Collaborating with data engineers and the wider team to build data platforms. Skills and Expertise: To be considered for this prestigious role, candidates must possess the following qualifications and attributes: A demonstrated proficiency in Python programming, coupled with a keen eye for detail and a passion for crafting elegant and efficient solutions to complex problems. Substantial commercial experience in working with cloud technologies, exemplified by a deep understanding of cloud platforms and their associated services (ideally GCP). Proven expertise in deploying and managing containerized applications using Docker within commercial environments, showcasing a knack for optimizing software delivery and deployment processes. A proactive approach to learning and contributing to front-end development, coupled with a strong commitment to staying abreast of emerging technologies, industry trends, and best practices. Salary: In this role, you will have the opportunity to earn a competitive salary of up to £70,000, complemented by a comprehensive benefits package designed to support your personal and professional well-being.
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Apr 17, 2024
Full time
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
We are looking for a Data Scientist to come in and join our analytics team based in Leeds. We are in the Oil & Gas market and this role will sit within our analytics teams, you will be the only data scientist in a team of four, and we will be leaning on your skill and knowledge to helg us models of our data to make more intuitive decisions. Client Details Our client is a well-established company within the Oil & Gas & Supply Chain industry. Our products deliver intelligent fuel management systems by integrating fuel card data and live tracking date, resulting in savings on fuel. Description The Successful Data Scientist will be responsible for but not limited to: Develop and implement data analyses, data collection systems and other strategies that optimise statistical efficiency and quality. Identify, analyse, and interpret trends or patterns in complex data sets. Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and correct code problems. Work closely with management to prioritise business and information needs. Locate and define new process improvement opportunities within the Logistics Distribution and Supply Chain industry. Handle data-driven decisions and translate data into an understandable document. Profile The successful Data Scientist should have: A degree in Mathematics, Economics, Computer Science, Information Management, or Statistics. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Proficient knowledge of a variety of machine learning algorithms and their real-world advantages/drawbacks. Good applied statistics skills, such as distributions, statistical testing, and regression. Great communication skills with the ability to explain complex processes in an understandable manner. Job Offer Competitive salary range of £55,000 - £65,000 per annum. A comprehensive benefits package which can be shared. A vibrant, positive work environment at a leading company in the Oil & Gas industry. Great opportunities for professional development and growth within the company. The successful candidate will find this position to be both challenging and rewarding, offering an excellent opportunity to build on their existing skills. We encourage all interested candidates to apply.
Apr 17, 2024
Full time
We are looking for a Data Scientist to come in and join our analytics team based in Leeds. We are in the Oil & Gas market and this role will sit within our analytics teams, you will be the only data scientist in a team of four, and we will be leaning on your skill and knowledge to helg us models of our data to make more intuitive decisions. Client Details Our client is a well-established company within the Oil & Gas & Supply Chain industry. Our products deliver intelligent fuel management systems by integrating fuel card data and live tracking date, resulting in savings on fuel. Description The Successful Data Scientist will be responsible for but not limited to: Develop and implement data analyses, data collection systems and other strategies that optimise statistical efficiency and quality. Identify, analyse, and interpret trends or patterns in complex data sets. Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and correct code problems. Work closely with management to prioritise business and information needs. Locate and define new process improvement opportunities within the Logistics Distribution and Supply Chain industry. Handle data-driven decisions and translate data into an understandable document. Profile The successful Data Scientist should have: A degree in Mathematics, Economics, Computer Science, Information Management, or Statistics. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Proficient knowledge of a variety of machine learning algorithms and their real-world advantages/drawbacks. Good applied statistics skills, such as distributions, statistical testing, and regression. Great communication skills with the ability to explain complex processes in an understandable manner. Job Offer Competitive salary range of £55,000 - £65,000 per annum. A comprehensive benefits package which can be shared. A vibrant, positive work environment at a leading company in the Oil & Gas industry. Great opportunities for professional development and growth within the company. The successful candidate will find this position to be both challenging and rewarding, offering an excellent opportunity to build on their existing skills. We encourage all interested candidates to apply.
A new opportunity has arisen within our clients global organisation, where they committed to leveraging the power of data to drive business growth and innovation. They are looking for an experienced Senior Data Scientist to join their dynamic data science team.As a Senior Data Scientist, you'll be instrumental in leading, designing, and delivering data & AI/ML products, preferably with a background in the Financial sector. Your role will involve leading advanced analytics and ML projects, mentoring junior team members, and driving innovation through cutting-edge data solutions. Key Responsibilities of the Senior Data Scientist: Lead and execute complex data science projects using a combination of open-source and cloud tools, driving innovation and delivering actionable insights. Collaborate with business stakeholders to identify data-driven opportunities, design experiments, and develop predictive models. Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced machine learning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and nurture talent within the data science team, fostering growth and skill development. Create data visualizations and dashboards to effectively communicate insights to stakeholders. Stay updated on the latest data science techniques, tools, and best practices. Experience required of the Senior Data Scientist Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience and understanding of the Financial domain, with the ability to influence and shape business use-cases. Proven experience as a Data Scientist, with a strong track record of leading and delivering advanced data science projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and models. Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks. Strong problem-solving skills and the ability to translate business challenges into data science solutions. Excellent communication and presentation skills. Proven ability to lead and mentor data science teams. Benefits Flexible and hybrid working - 1 day per week in the office based in Guildford however this could be reduced for the right candidate Annual bonus based on business and personal performance. Generous pension contributions. Development days and support for personal development. Discount on products. Range of optional flexible benefits. If you're passionate about data science and ready to make an impact in the financial industry, apply now for the Senior Data Scientist attaching your CV.
Apr 17, 2024
Full time
A new opportunity has arisen within our clients global organisation, where they committed to leveraging the power of data to drive business growth and innovation. They are looking for an experienced Senior Data Scientist to join their dynamic data science team.As a Senior Data Scientist, you'll be instrumental in leading, designing, and delivering data & AI/ML products, preferably with a background in the Financial sector. Your role will involve leading advanced analytics and ML projects, mentoring junior team members, and driving innovation through cutting-edge data solutions. Key Responsibilities of the Senior Data Scientist: Lead and execute complex data science projects using a combination of open-source and cloud tools, driving innovation and delivering actionable insights. Collaborate with business stakeholders to identify data-driven opportunities, design experiments, and develop predictive models. Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced machine learning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and nurture talent within the data science team, fostering growth and skill development. Create data visualizations and dashboards to effectively communicate insights to stakeholders. Stay updated on the latest data science techniques, tools, and best practices. Experience required of the Senior Data Scientist Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience and understanding of the Financial domain, with the ability to influence and shape business use-cases. Proven experience as a Data Scientist, with a strong track record of leading and delivering advanced data science projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and models. Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks. Strong problem-solving skills and the ability to translate business challenges into data science solutions. Excellent communication and presentation skills. Proven ability to lead and mentor data science teams. Benefits Flexible and hybrid working - 1 day per week in the office based in Guildford however this could be reduced for the right candidate Annual bonus based on business and personal performance. Generous pension contributions. Development days and support for personal development. Discount on products. Range of optional flexible benefits. If you're passionate about data science and ready to make an impact in the financial industry, apply now for the Senior Data Scientist attaching your CV.
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
Apr 17, 2024
Full time
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
Apr 17, 2024
Full time
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
We are currently looking for an experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. *Outside IR35* Responsibilities: Experience working with Data Scientists to understand ML models and translate them into robust, scalable production code using Python and tools like TensorFlow. Build and maintain ML pipeline architecture for activities including data ingestion, model training/retraining, evaluation, and deployment. Leverage cloud platforms (GCP) to create ML workflow orchestration and integrate with production systems, Vertex AI. Monitor and maintain ML systems in production, address performance issues, and implement improvements. Define software engineering standards for building, documenting, testing and deploying machine learning code. Stay up-to-date with advancements in ML ops and DevOps for machine learning systems. Requirements: 3+ years' experience building and deploying machine learning systems. Expert in Python. Knowledge of common ML libraries like Pandas, NumPy and Scikit-Learn. Experience with ML workflow orchestration tools (Kubeflow, MLFlow, Airflow etc). Experience with Vertex AI Understanding of CI/CD pipelines and DevOps processes. Ability to collaborate with data scientists and software engineers. Please apply now to discuss in more detail!
Apr 17, 2024
Contractor
We are currently looking for an experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. *Outside IR35* Responsibilities: Experience working with Data Scientists to understand ML models and translate them into robust, scalable production code using Python and tools like TensorFlow. Build and maintain ML pipeline architecture for activities including data ingestion, model training/retraining, evaluation, and deployment. Leverage cloud platforms (GCP) to create ML workflow orchestration and integrate with production systems, Vertex AI. Monitor and maintain ML systems in production, address performance issues, and implement improvements. Define software engineering standards for building, documenting, testing and deploying machine learning code. Stay up-to-date with advancements in ML ops and DevOps for machine learning systems. Requirements: 3+ years' experience building and deploying machine learning systems. Expert in Python. Knowledge of common ML libraries like Pandas, NumPy and Scikit-Learn. Experience with ML workflow orchestration tools (Kubeflow, MLFlow, Airflow etc). Experience with Vertex AI Understanding of CI/CD pipelines and DevOps processes. Ability to collaborate with data scientists and software engineers. Please apply now to discuss in more detail!
Private Credit business is going through significant growth. This an opportunity to work with a global technology team in building and providing long term strategic solutions by integrating in-house and vendor applications involving new development and greenfield projects to develop strong foundations for the future business and technology growth. At Macquarie, we are working to create lasting value for our communities, our clients and our people. We are a global financial services group operating in 34 markets and with 54 years of unbroken profitability. You'll be part of a supportive team where everyone - no matter what role - contributes ideas and drive outcomes. What role will you play? Working as part of a technical team, you will deliver high quality software that is thoroughly tested and optimized, while building solutions and integrations from requirements and providing maintenance and enhancements to the existing code base. You will also contribute to the ongoing evolution of our platform design and architecture. You will be building solutions to manage and convert raw data into information that can be interpreted by data scientists and business analysts. As well as this you will help design and develop reusable data pipelines for ingestion and consumption through Macquarie Asset Management's data platform. You will be exposed to new server less based solutions, microservice architecture, delta lake and expanding brand new applications in the Cloud and maintaining Infrastructure as Code (IaC). What you offer 3-5+ years of full stack development experience with design, development, testing, deployment, and version control Proven development skills to work with Python, Structured Query Language (SQL) , ReactJS, REST Api. Hands-on experience with Amazon Web Services (AWS, EC2, S3, RDS, DynamoDB, Lambda and EBS) for designing scalable, cloud-native, distributed software utilising modern development architectures Analytical and problem-solving abilities, coupled with good communication skills We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria and location, include: Hybrid and flexible working arrangements One wellbeing leave day per year and minimum 25 days of annual leave Primary carers are eligible for minimum 20 weeks paid leave and minimum 6 weeks for secondary carer Paid volunteer leave and donation matching Range of benefits to support your physical, psychological and financial wellbeing Employee Assistance Program Recognition and service awards About the Corporate Operations Group In our Corporate Operations Group, you will work at the heart of Macquarie. Join a collaborative team who accelerate digitalisation, sustainability and social impact for the benefit of our people, customers, shareholders and communities. Our teams include technology, digital transformation and data, operations, human resources, business services, corporate strategy and solutions and the Macquarie Group Foundation. Our commitment to Diversity, Equity and Inclusion We are committed to providing a working environment that embraces diversity, equity and inclusion. As an inclusive employer, Macquarie does not discriminate on the grounds of age, disability, sex, sexual orientation, gender identity or expression, marriage, civil partnership, pregnancy, maternity, race (including color and ethnic or national origins), religion or belief.
Apr 17, 2024
Full time
Private Credit business is going through significant growth. This an opportunity to work with a global technology team in building and providing long term strategic solutions by integrating in-house and vendor applications involving new development and greenfield projects to develop strong foundations for the future business and technology growth. At Macquarie, we are working to create lasting value for our communities, our clients and our people. We are a global financial services group operating in 34 markets and with 54 years of unbroken profitability. You'll be part of a supportive team where everyone - no matter what role - contributes ideas and drive outcomes. What role will you play? Working as part of a technical team, you will deliver high quality software that is thoroughly tested and optimized, while building solutions and integrations from requirements and providing maintenance and enhancements to the existing code base. You will also contribute to the ongoing evolution of our platform design and architecture. You will be building solutions to manage and convert raw data into information that can be interpreted by data scientists and business analysts. As well as this you will help design and develop reusable data pipelines for ingestion and consumption through Macquarie Asset Management's data platform. You will be exposed to new server less based solutions, microservice architecture, delta lake and expanding brand new applications in the Cloud and maintaining Infrastructure as Code (IaC). What you offer 3-5+ years of full stack development experience with design, development, testing, deployment, and version control Proven development skills to work with Python, Structured Query Language (SQL) , ReactJS, REST Api. Hands-on experience with Amazon Web Services (AWS, EC2, S3, RDS, DynamoDB, Lambda and EBS) for designing scalable, cloud-native, distributed software utilising modern development architectures Analytical and problem-solving abilities, coupled with good communication skills We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria and location, include: Hybrid and flexible working arrangements One wellbeing leave day per year and minimum 25 days of annual leave Primary carers are eligible for minimum 20 weeks paid leave and minimum 6 weeks for secondary carer Paid volunteer leave and donation matching Range of benefits to support your physical, psychological and financial wellbeing Employee Assistance Program Recognition and service awards About the Corporate Operations Group In our Corporate Operations Group, you will work at the heart of Macquarie. Join a collaborative team who accelerate digitalisation, sustainability and social impact for the benefit of our people, customers, shareholders and communities. Our teams include technology, digital transformation and data, operations, human resources, business services, corporate strategy and solutions and the Macquarie Group Foundation. Our commitment to Diversity, Equity and Inclusion We are committed to providing a working environment that embraces diversity, equity and inclusion. As an inclusive employer, Macquarie does not discriminate on the grounds of age, disability, sex, sexual orientation, gender identity or expression, marriage, civil partnership, pregnancy, maternity, race (including color and ethnic or national origins), religion or belief.
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Knowledge and experience of Hierarchical Modelling Experience with clinical domain and with regulated data Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at
Apr 17, 2024
Full time
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Knowledge and experience of Hierarchical Modelling Experience with clinical domain and with regulated data Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at
Algorithm Scientist/Data Analyst/Mathematician/Maths Modelling scientist/engineer detail-oriented individual with a strong analytical mindset Data Scientist/Data Analyst will have excellent working experience if python or matlab or C++ Good qualifications in Maths or Physics or Computer Science or Physical science Strong analytical, mathematical, and problem-solving skills Demonstrable accuracy and attention to detail Ability to analyse and interpret numerical data through statistical analysis, modelling, and optimisation techniques. As a supply hero with rTriibe Numerical data analysis to obtain relevant information for the project Strong computer fundamentals such as Excel, VBA, SQL or Python experience preferred Willingness to learn additional skills such as PySpark and Data Modelling Some understanding of data visualisation and/or wider user interface design an advantage
Apr 17, 2024
Full time
Algorithm Scientist/Data Analyst/Mathematician/Maths Modelling scientist/engineer detail-oriented individual with a strong analytical mindset Data Scientist/Data Analyst will have excellent working experience if python or matlab or C++ Good qualifications in Maths or Physics or Computer Science or Physical science Strong analytical, mathematical, and problem-solving skills Demonstrable accuracy and attention to detail Ability to analyse and interpret numerical data through statistical analysis, modelling, and optimisation techniques. As a supply hero with rTriibe Numerical data analysis to obtain relevant information for the project Strong computer fundamentals such as Excel, VBA, SQL or Python experience preferred Willingness to learn additional skills such as PySpark and Data Modelling Some understanding of data visualisation and/or wider user interface design an advantage
Full stack developer Bristol £40,000-£45,000 PHP Symfony Laravel Javascript SR2 are working exclusively with a forward-thinking SAS company, empowering the future generation of Scientists! They're in the tech for good space where they transform digital learning experiences. I am looking for a mid-level PHP developer in or around Bristol to help support a small team of developers, revolutionising digital tools for science education. Your new role: You will be working on the development and maintenance of existing systems. You'll get the chance to create clean code solutions and add innovative features on both the frontend and backend. You will implement security processes and be responsible for isolating any issues, debugging, testing and troubleshooting where necessary. What you'll need: 3-4 years' experience working in a software/application development environment. Proficiency in HTML, CSS and Java frameworks for frontend development Proficiency in PHP for backend development (Laravel, symfony, or codeigniter) Good knowledge of relational databases (SQL) Beneficial skills: Previous education industry experience or a scientific background. Good knowledge of MVC libraries/frameworks such as Vue/React. Experience with API's. Benefits: Further development/training budget. Salary - £40,000-£45,000 (depending on experience) 25 days holiday (plus bank holidays) Pension Scheme Flexible working model (including WFH budget to ensure you're well equipped) What you need to do now: If you have the skills and dedication and want to contribute to education, then I want to hear from you! We have interview slots booked over the next couple of weeks so please get in contact with Olivia Burberry on or to find out more and to be considered. Full stack developer Bristol £40,000-£45,000 PHP Symfony Laravel Javascript
Apr 17, 2024
Full time
Full stack developer Bristol £40,000-£45,000 PHP Symfony Laravel Javascript SR2 are working exclusively with a forward-thinking SAS company, empowering the future generation of Scientists! They're in the tech for good space where they transform digital learning experiences. I am looking for a mid-level PHP developer in or around Bristol to help support a small team of developers, revolutionising digital tools for science education. Your new role: You will be working on the development and maintenance of existing systems. You'll get the chance to create clean code solutions and add innovative features on both the frontend and backend. You will implement security processes and be responsible for isolating any issues, debugging, testing and troubleshooting where necessary. What you'll need: 3-4 years' experience working in a software/application development environment. Proficiency in HTML, CSS and Java frameworks for frontend development Proficiency in PHP for backend development (Laravel, symfony, or codeigniter) Good knowledge of relational databases (SQL) Beneficial skills: Previous education industry experience or a scientific background. Good knowledge of MVC libraries/frameworks such as Vue/React. Experience with API's. Benefits: Further development/training budget. Salary - £40,000-£45,000 (depending on experience) 25 days holiday (plus bank holidays) Pension Scheme Flexible working model (including WFH budget to ensure you're well equipped) What you need to do now: If you have the skills and dedication and want to contribute to education, then I want to hear from you! We have interview slots booked over the next couple of weeks so please get in contact with Olivia Burberry on or to find out more and to be considered. Full stack developer Bristol £40,000-£45,000 PHP Symfony Laravel Javascript
Harnham - Data & Analytics Recruitment
Hatfield, Hertfordshire
PRINCIPAL ANALYST - HERTFORDSHIRE UP TO £85,000 THE COMPANY I am supporting a leading e-commerce platform on a Principal-level individual contributor position. As a Principal Analyst, you will utilise your expertise in Python to drive greater efficiency across the business and upskill the wider team from a technical perspective. THE ROLE The successful Principal Analyst responsibilities will include: Utilise your expertise in Python to develop sophisticated models for data clustering, random forest analysis, and other advanced techniques Conduct thorough data exploration and preprocessing to ensure the quality and relevance of the data used in modelling exercises Translate complex modelling results into actionable insights for business stakeholders through clear and concise reporting YOUR SKILLS AND EXPERIENCE The successful Principal Analyst will have the following skills and experience: Proven experience as a Data Analyst/Scientist with a focus on Python modelling techniques Strong proficiency in Python programming and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy) Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders Bachelor's or advanced degree in a quantitative field (e.g., Statistics, Computer Science, Data Science) THE BENEFITS The successful Principal Analyst will receive a salary of up to £85,000, plus an array of additional benefits. HOW TO APPLY: Please register your interest by sending your CV to Harry Mincer via the apply link below.
Apr 16, 2024
Full time
PRINCIPAL ANALYST - HERTFORDSHIRE UP TO £85,000 THE COMPANY I am supporting a leading e-commerce platform on a Principal-level individual contributor position. As a Principal Analyst, you will utilise your expertise in Python to drive greater efficiency across the business and upskill the wider team from a technical perspective. THE ROLE The successful Principal Analyst responsibilities will include: Utilise your expertise in Python to develop sophisticated models for data clustering, random forest analysis, and other advanced techniques Conduct thorough data exploration and preprocessing to ensure the quality and relevance of the data used in modelling exercises Translate complex modelling results into actionable insights for business stakeholders through clear and concise reporting YOUR SKILLS AND EXPERIENCE The successful Principal Analyst will have the following skills and experience: Proven experience as a Data Analyst/Scientist with a focus on Python modelling techniques Strong proficiency in Python programming and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy) Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders Bachelor's or advanced degree in a quantitative field (e.g., Statistics, Computer Science, Data Science) THE BENEFITS The successful Principal Analyst will receive a salary of up to £85,000, plus an array of additional benefits. HOW TO APPLY: Please register your interest by sending your CV to Harry Mincer via the apply link below.
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Apr 16, 2024
Full time
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified