About the role

The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Mathematical Programming (including Mixed Integer Linear Programming)
• Metaheuristics
• Stochastic Optimisation
• Simulation

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

About the role
The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Machine Learning/Deep Learning
• Computer Vision
• Reinforcement Learning
• Graph Neural Networks
• Time series forecasting
• Probabilistic forecasting
• Bayesian Modelling
• Operations Research
• Recommender Systems

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

About the role
The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Machine Learning/Deep Learning
• Computer Vision
• Reinforcement Learning
• Graph Neural Networks
• Time series forecasting
• Probabilistic forecasting
• Bayesian Modelling
• Operations Research
• Recommender Systems

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

About the role
The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Machine Learning/Deep Learning
• Computer Vision
• Reinforcement Learning
• Graph Neural Networks
• Time series forecasting
• Probabilistic forecasting
• Bayesian Modelling
• Operations Research
• Recommender Systems

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

About the role

The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Mathematical Programming (including Mixed Integer Linear Programming)
• Metaheuristics
• Stochastic Optimisation
• Simulation

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

About the role
The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026.

At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

As an intern, you will join the team and get hands on experience of what it’s like to be a Data Scientist at Tesco. You’ll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship.

If that sounds exciting, then we’d love to hear from you!

The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus.

What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more!

• Annual bonus scheme of up to 10% of base salary
• Holiday starting at 25 days plus a personal day (plus Bank holidays)
• 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

You will be responsible for
This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts.

You will need
We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science.

An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal:
• Machine Learning/Deep Learning
• Computer Vision
• Reinforcement Learning
• Graph Neural Networks
• Time series forecasting
• Probabilistic forecasting
• Bayesian Modelling
• Operations Research
• Recommender Systems

Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing).

About us
Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: Remote or North East. Hybrid office work / flexible / remote. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll Do

Research & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight — not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication — clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.

A fantastic opportunity for a Senior or Principal Machine Learning Engineer to join a fast-growing, health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. The business is building large-scale, production-grade ML systems applied to complex 3D imaging data.

This role is highly engineering-focused, sitting between machine learning, infrastructure and deployment. You will work closely with ML Scientists and engineering teams to ensure models can be trained and deployed reliably at scale.

Location: 1 day per week in London - Shepherd’s Bush (4 days remote)

Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits

Requirements for Senior / Principal Machine Learning Engineer:

Strong relevant industry experience in machine learning engineering

Strong Python and PyTorch experience

Experience training machine learning models at scale

Experience building and maintaining model deployment and inference pipelines

Hands-on experience using Docker in production environments

Strong Linux and Git skills

Experience working in cloud environments (AWS, GCP or Azure all acceptable)

Experience working with CI pipelines

Proactive, self-sufficient and highly communicative working style

Strong English written and verbal communication skills

Educated to a minimum of Masters Level

Responsibilities:

Develop, train and deploy machine learning models into scalable production environments

Support and improve large-scale model training and inference pipelines

Collaborate closely with ML Scientists to productionise research models

Work with engineering teams to ensure robust, secure and efficient deployment

Contribute to code quality, documentation and best practices across the ML engineering function

What the role offers:

Work on impactful health-tech

Exposure to large-scale, real-world machine learning systems

A technically strong and collaborative engineering environment

Hybrid working with a remote-first approach

Clear cut career trajectory to becoming Head of Machine Learning

Applications:

If you would like to apply for this unique Machine Learning Engineering role, please send your CV via the relevant links.

We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing . If this email address has been removed by the job board, full contact details are readily available on our website.

Keywords: Senior Machine Learning Engineer / Principal Machine Learning Engineer / ML Engineer / Applied Machine Learning Engineer / Computer Vision Engineer / AI Engineer / Research Engineer / Python / PyTorch / Linux / Docker / Cloud ML / CI Pipelines / Model Deployment / Inference Pipelines

RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role is not of interest, please visit our website to see our other opportunities.
We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Spatial Transcriptomics is a rapidly emerging field that combines the “what” of genomics with the “where” of imaging. To support this, the Functional Genomics team is partnering with the BioImage Archive to create a unified resource for this data.

You will join a unique, interdisciplinary project bridging these two world-leading teams. We are looking for a talented developer to build the “Spatial Transcriptomics Portal,” a greenfield resource that will support scientists worldwide to submit, find, explore, and reuse this complex multi-modal data.

Your role

The role will work across the full technical stack to architect and build a new platform from the ground up. You will act as the technical bridge between the genomic and imaging domains, designing systems that allow these distinct data types to be harmonised, validated, and visualised together.

Specific Responsibilities:

• Portal Development:Design and implement the new Spatial Transcriptomics portal, including backend API services, frontend user interfaces, and supporting infrastructure.
• Search & Discovery: Develop a shared and powerful search interface that allows researchers to discover datasets based on the rich biological metadata facets that accompany these experiments.
• Data Flow & Validation: Design automated pipelines to validate incoming data against agreed standards (FAIR principles) and route submissions to the correct archival resources.
• Data Conversion: Support the development of conversion pipelines to transform raw data files into cloud-native formats (e.g., OME-Zarr) optimized for visualization in the portal.
• Visualisation Integration: Embed and integrate advanced spatial visualisation tools into the portal, ensuring users can seamlessly interact with high-resolution images and gene expression overlays.
• System Integration: Act as the technical liaison between the BioImage Archive and Functional Genomics, as well as with central EMBL-EBI storage and search infrastructure teams, ensuring that the new portal integrates seamlessly with our existing high-performance systems.

You have

You should have a university degree in computer science, life sciences, or a related discipline and experience in a software development capacity.

Specific Experience:

• Substantial experience developing full-stack web applications.
• Solid experience with Java or Python for backend development.
• Extensive hands-on experience with JavaScript and modern frontend frameworks (e.g., React).
• Experience with Containerisation (Docker) and deploying applications to Kubernetes environments.
• Experience configuring CI/CD pipelines (e.g., GitLab CI, Jenkins) for automated testing and deployment.
• Experience working with databases (Relational or NoSQL) and designing data models.

Personal Attributes:

• A strong affinity with the goal of EMBL-EBI to provide open data to the global scientific community.
• Excellent communication skills, with the ability to bridge the gap between technical and scientific requirements.
• A self-starter attitude, comfortable working on a greenfield project with evolving requirements.

You may also have

• Experience designing data systems that operate at scale.
• Experience working with biological data, particularly BioImaging or Genomics formats.
• Experience with search infrastructure (e.g., Solr, Elasticsearch).
• Familiarity with data standards or validation frameworks (e.g., JSON Schema, RO-Crate).

Apply now! Benefits and Contract Information

• Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances

• Hybrid working arrangements

• Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)

• Generous time off: 30 days annual leave per year, in addition to eight bank holidays

• Relocation package including installation grant (as applicable)

• Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)

• Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances

• Contract duration: This position is a 1 year project based contract

• Salary: Monthly salary startingfrom £3,303 or 3,695 after taxbut excl. pension & insurances) + benefits (Total package will be dependent on family circumstances)

• International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants.

• Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities.

• Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.

To apply, please submit a covering letter and CV via our online system. Applications will close on 18/03/2026.

6 month contract

Based in Bristol

Offering 65ph Inside IR35

Do you have experience writing, delivering, and testing algorithm related software?

Do you have experience with MathWorks tools?

Do you want to work with an industry-leading company?

If your answers to these are yes, then this could be the role for you!

As the Algorithm Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry.

Due to the nature of the work you will be involved in, active UK SC Clearance will be required.

You will be involved in activities throughout the product life cycle including early research studies, feasibility and concept stages, and product development and customer support.

You will be involved in:

• Work alongside algorithm engineers and technical experts to transcode a large, complex legacy algorithm codebase from ADA to MATLAB
• Define, distribute, and review core activities to enable efficient completion of the transcoding
• Develop test harnesses and provide robust and extensive testing procedures to ensure equivalence between transcoded code base and legacy ADA algorithms
• Follow Code of Practise (CoP) in developing MATLAB algorithms to ensure compatibility with auto-coding tools, rectifying/resolving issues, and reframing algorithms as necessary to ensure compatibility with tool chain
• Build good working relationships with stakeholders, including downstream software team, to enable effective transfer and integration of MATLAB algorithm artefacts into larger product
• Support resolution of queries and non-compliances

Your skillset may include:

• Experience writing, delivering, and testing algorithm related software
• Experience writing software/algorithms within MathWorks tools
• Verification of requirements and evidence review
• Experience writing, interpreting ADA code
• Specific tools knowledge: IBM Engineering Workflow Management / GIT

If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

Algorithm Engineer

6 month contract

Based in Bristol

Offering 65ph Inside IR35

Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited (“ARM”). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Job Title: AI Engineer

Location: Leeds, West Yorkshire / Hybrid

Salary: £70,000 - £90,000 per annum + benefits

Why Apply?

An established, high-growth technology consultancy is building a genuinely AI-native capability, embedding artificial intelligence into client delivery, internal platforms, and long-term strategy. This permanent, full-time AI Engineer role offers the opportunity to shape production-grade AI solutions in real-world environments, not just proofs of concept.

AI Engineer Responsibilities

Own and evolve a production-ready AI platform

Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling

Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD)

Develop internal AI tooling to accelerate engineering delivery

Lead advanced AI knowledge-sharing sessions within internal upskilling initiatives

Evaluate emerging AI frameworks, protocols, and tooling

Support pragmatic AI adoption across multidisciplinary engineering teams

AI Engineer Requirements

Essential:

Strong software engineering foundations with a production mindset

Proven hands-on experience with Large Language Models (LLMs), including API integrations, prompt engineering, agent workflows, and Retrieval-Augmented Generation (RAG) systems

Experience shipping AI-powered features into production environments

Proficiency in at least two modern programming languages

Familiarity with emerging AI tooling (e.g. MCP, A2A, Threads or similar)

Consultancy or client-facing technology delivery experience

Desirable:

Experience with vector databases, embeddings, or model fine-tuning

Cloud platform experience (AWS preferred)

Open-source contributions or visible AI side projects

This is not a research-focused post; it is suited to engineers who build, deploy and scale AI systems.

What’s in it for me?

Permanent, full-time AI Engineer role

Competitive salary (£70,000 - £90,000)

Hybrid working model with remote flexibility

Private healthcare

Professional development and funded learning

Exposure to cutting-edge AI engineering projects

Clear progression within a fast-scaling AI capability

This role offers a rare opportunity to shape AI delivery at scale within a forward-thinking consultancy environment.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

TPBN1_UKTJ

About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco

About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco

I am recruiting on behalf of my client for a Software Engineer (DSP) to join their Research & Development team in Salisbury.
This is an exceptional opportunity for an experienced Software Engineer (DSP) to help shape the next generation of high-performance streaming audio systems, developing the embedded firmware that sits at the core of industry-leading audio products.

My client is a highly regarded engineering organisation known for developing sophisticated audio technology where digital signal processing plays a critical role in delivering outstanding sound performance.
As a Software Engineer (DSP), you will work within a collaborative engineering environment alongside embedded software engineers, acoustics specialists and electronics engineers to design and implement advanced DSP software for innovative new products.

The Software Engineer (DSP) will be involved across the full product development lifecycle, from early concept exploration through to prototype bring-up and final product realisation. This role is ideal for a Software Engineer (DSP) who enjoys combining real-time embedded software development with signal processing and hands-on electronics debugging.

As a Software Engineer (DSP), your responsibilities will include:

Developing real-time embedded software for new products, particularly DSP-focused applications
Writing drivers for peripherals located on the DSP chip or the associated PCB
Developing processing chain components in MATLAB and implementing them in C code on the DSP processor
Collaborating with other firmware engineers to define interfaces between processors
Working closely with the acoustics team to develop new ideas and improve sound quality and performance
Supporting the bring-up of DSP and digital audio circuitry on prototype PCBs
Using test equipment such as oscilloscopes, logic analysers and audio test equipment during prototype development
Producing clear technical documentation to communicate design decisions and system architecture
Participating in peer code reviews and collaborative development processesTo be successful in this Software Engineer (DSP) position, my client is looking for candidates with the following background:

Degree in Electronic Engineering, Computer Science or a related engineering discipline
Strong C programming skills with a minimum of 6 years’ commercial C/C++ experience
Extensive experience working with real-time embedded systems
Experience with signal processing applications and DSP-based development
Ideally experience working with Analog Devices SHARC processors
Understanding of audio DSP techniques such as filter design, FFT, sample rate conversion and dynamic range control
Familiarity with electronics design and prototype debugging techniques
Experience developing embedded software for complex electronic products in a commercial environment
Knowledge of modern development tools and methodologies such as Git, Jira and Agile development
A proactive approach to documentation and collaborative development
A personal interest in audio technologies would be highly beneficialThis Software Engineer (DSP) role offers the chance to work at the forefront of audio product development within a highly skilled engineering environment where innovation and technical excellence are central to the business.

If you are an experienced Software Engineer (DSP) looking to work on advanced embedded systems and contribute to world-class product development, I would be keen to speak with you.

Ian Broadhurst
(phone number removed)
(url removed)

Job Title: Senior DSP Algorithm Engineer
Location: Fareham, Hampshire
Salary: £75,000 to £90,000 basic + 15% bonus + benefits
Visa Sponsorship is available
Hybrid working options

Cutting-Edge R&D Advanced DSP Design Human Machine Interface Technology
Are you a hands-on engineer with deep expertise in Digital Signal Processing (DSP) and high-level system modelling? Do you want to work on next-generation Human Machine Interface (HMI) technology that will shape the future of user interaction?
If you thrive at the intersection of modelling, system analysis, and real-world hardware experimentation, this role is made for you.
Our client is a global technology leader developing state-of-the-art mixed-signal and HMI systems. They are now seeking an experienced Senior DSP Algorithm Engineer to join their advanced R&D team in Hampshire.

Why this role is different - Senior DSP Algorithm Engineer
This position isn t just about using DSP, it s about truly understanding it. You ll be developing, analysing, and validating systems that rely on DSP design principles, signal acquisition, mixed-signal modelling, and algorithm development. Your work will directly influence next-generation touch and sensing technologies.

Key Responsibilities: Senior DSP Algorithm Engineer
As a Senior DSP Algorithm Engineer, you will:

• Lead modelling, simulation, and analysis of complex mixed-signal front-end systems
• Capture and process real-time sensor data using both analogue and digital signal processing
• Support the implementation, integration, and validation of innovative algorithms
• Develop new touch detection schemes and evolve existing DSP algorithms
• Collaborate closely with IC design, firmware, system architecture, and validation teams to ensure seamless modelling-to-hardware correlation
• Define research objectives and problem statements with internal stakeholders
• Take full ownership of experiments from concept and simulation to hardware validation

What You ll Bring to the Senior DSP Algorithm Engineer role.

To excel in this role, you must have:

Essential Skills & Experience

• Deep, hands-on knowledge of DSP design, modelling, and algorithm development
• (Not just DSP usage, an ability to understand how and why it works)
• Proven experience in high-level modelling and simulation of complex systems
• Strong understanding of mixed-signal systems, ASIC design concepts, and analysis tools
• Proficiency with MATLAB, Simulink and/or Python (two or more required)
• Experience using version control systems like Git or Subversion
• Knowledge of Agile development workflows
• Proactive, curious mindset with strong collaboration skills
• Willingness to travel for research and project collaboration

Education

• MSc or PhD in Electronics Engineering, Signal Processing, or a closely related field
• BEng or MEng (Upper Second Class or equivalent) in a relevant engineering discipline
• 5+ years post-graduate engineering experience

Desirable skills/experience for the Senior DSP Algorithm Engineer role

• SPICE, HDL, Verilog, FPGA knowledge
• Experience with physics-based modelling tools (e.g., Ansys, HFSS)
• Background in HMI, sensing, or display technologies

Why Apply?

• Work on cutting-edge HMI and sensing technology
• Be part of an R&D team pushing innovation in mixed-signal and DSP systems
• Solve complex real-world engineering problems
• Excellent long-term career growth within a global tech organisation
• Visa Sponsorship is available
• Hybrid working

If you are passionate about DSP at a fundamental level and want to drive real innovation in advanced sensing technology, we d love to hear from you.

If you have any specific questions about this Senior DSP Algorithm Engineer role in Hampshire, please call Lewis on (phone number removed). To apply email (url removed)

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: Remote or North East. Hybrid office work / flexible / remote. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll DoResearch & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight - not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication - clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure - someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: North East. Hybrid office work / flexible. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll DoResearch & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight - not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication - clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure - someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.

This is a great time for a junior-to-mid-level Python Developer, to consider joining an established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will be joining a dedicated R&D team that leverage machine and deep learning for the computer vision and signal processing algorithms that underpin an innovative patient-monitoring platform, deployed in 100s of hospitals across the UK and US.

Using existing Python skills to support the research, development, deployment and monitoring of deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks.

The Company

The Python Developer will be joining a company whose platform has been scientifically proven to deliver safer, high-quality and efficient patient care, at an exciting time of growth and expansion into new markets. As a well-funded scale-up, they offer an entrepreneurial team spirit, where you’ll be contributing directly to the team’s success. Working predominantly remotely, you’d ideally be onsite a couple of times each month, although there will be other opportunities for meeting up as a team off-site.

Benefits

• Predominantly remote working
• 25 days’ holiday, with the ability to purchase more
• Private health insurance
• Personal Learning & Development budget
• Wellbeing days

What’s required to be successful in this role?

• Demonstrable programming ability in Python, preferably within a data context
• A STEM-related degree
• Some experience with the Python scientific stack (NumPy, Pandas, SciPy, etc.) is preferred
• Experience with Docker, GIT and Linux

So What’s Next?

If you are an experienced Python Developer looking for your next technical challenge and the opportunity to further develop your skills; apply now for immediate consideration!

Software Developer, Python Developer, Software Engineer, Python

Corriculo Ltd acts as an employment agency and an employment business.

This is a great time for a junior-to-mid-level Python Developer, to consider joining an established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will be joining a dedicated R&D team that leverage machine and deep learning for the computer vision and signal processing algorithms that underpin an innovative patient-monitoring platform, deployed in 100s of hospitals across the UK and US.

Using existing Python skills to support the research, development, deployment and monitoring of deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks.

The Company

The Python Developer will be joining a company whose platform has been scientifically proven to deliver safer, high-quality and efficient patient care, at an exciting time of growth and expansion into new markets. As a well-funded scale-up, they offer an entrepreneurial team spirit, where you’ll be contributing directly to the team’s success. Working predominantly remotely, you’d ideally be onsite a couple of times each month, although there will be other opportunities for meeting up as a team off-site.

Benefits

• Predominantly remote working
• 25 days’ holiday, with the ability to purchase more
• Private health insurance
• Personal Learning & Development budget
• Wellbeing days

What’s required to be successful in this role?

• Demonstrable programming ability in Python, preferably within a data context
• A STEM-related degree
• Some experience with the Python scientific stack (NumPy, Pandas, SciPy, etc.) is preferred
• Experience with Docker, GIT and Linux

So What’s Next?

If you are an experienced Python Developer looking for your next technical challenge and the opportunity to further develop your skills; apply now for immediate consideration!

Software Developer, Python Developer, Software Engineer, Python

Corriculo Ltd acts as an employment agency and an employment business.

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: Remote or North East. Hybrid office work / flexible / remote. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll Do

Research & Evaluation

Scan the market for emerging AI, orchestration, and automation technologies
Conduct structured vendor and platform evaluations
Assess technical fit, integration complexity, security posture, cost, and viability
Stay current with LLMs, AI APIs, frameworks, and cloud services
Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

Build lightweight PoCs to validate APIs and technical hypotheses
Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
Contribute Python and/or C# code under technical directionFocus: validation and insight — not production-grade implementation.

Documentation & Process

Own R&D documentation, decision logs, and handover packs
Maintain backlog discipline and enforce stage-gate standards
Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

2+ years in a technical analyst, research, or solutions-focused role
Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
Strong analytical thinking and structured evaluation skills
Excellent written communication — clear, concise, decision-ready outputs
Self-directed working style with confident stakeholder engagement
Familiarity with workflow orchestration / BPMN fundamentalsDesirable

Experience building AI-integrated applications
API and cloud platform exposure
Vendor/technology selection experience
Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

Contributed to live evidence packs
Helped standardise R&D evaluation templates
Supported an initiative through to handover-ready recommendationLonger term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

Direct exposure to cutting-edge AI and automation
Real influence over technology decisions
Clear progression into Senior R&D or specialist AI roles
Close collaboration with Architecture, Engineering, and ProductWe’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: North East. Hybrid office work / flexible. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll Do

Research & Evaluation

Scan the market for emerging AI, orchestration, and automation technologies
Conduct structured vendor and platform evaluations
Assess technical fit, integration complexity, security posture, cost, and viability
Stay current with LLMs, AI APIs, frameworks, and cloud services
Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

Build lightweight PoCs to validate APIs and technical hypotheses
Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
Contribute Python and/or C# code under technical directionFocus: validation and insight — not production-grade implementation.

Documentation & Process

Own R&D documentation, decision logs, and handover packs
Maintain backlog discipline and enforce stage-gate standards
Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

2+ years in a technical analyst, research, or solutions-focused role
Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
Strong analytical thinking and structured evaluation skills
Excellent written communication — clear, concise, decision-ready outputs
Self-directed working style with confident stakeholder engagement
Familiarity with workflow orchestration / BPMN fundamentalsDesirable

Experience building AI-integrated applications
API and cloud platform exposure
Vendor/technology selection experience
Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

Contributed to live evidence packs
Helped standardise R&D evaluation templates
Supported an initiative through to handover-ready recommendationLonger term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

Direct exposure to cutting-edge AI and automation
Real influence over technology decisions
Clear progression into Senior R&D or specialist AI roles
Close collaboration with Architecture, Engineering, and ProductWe’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage