Our Principal Data Scientist & Machine Learning Researcher sits within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects.

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development.

Hybrid role: 3 days a week at our site(s) or customer site min

Must be eligible and willing to gain SC & eDV clearance

Responsibilities

• Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement.
• Bring ideas for novel research that will drive competitive advantage in across our customer community.
• Work with autonomy to develop complex, novel data science solutions.
• Support in triaging and responding to opportunities, aligning to the group and wider business strategies.
• Design and deliver data-centric solutions while working collaboratively across disciplines.
• Technical delivery of research and applied AI/ML tasks on both customer and internal research projects.
• Provide technical leadership across multiple projects.
• Manage more junior team members across the SRG.
• Deliver AI/ML/Data Science solutions to broad range of problems in defence.
• Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
• Prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise.

Required Skills & Experience

• Strong experience of delivering novel ML solutions to customers and internal stakeholders
• Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices
• Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment
• Experience of appropriate version control and environment management (such as venvs or Docker)
• Experience of writing technical project proposals
• Experience of managing teams either line management or technically
• Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature
• Experience of training and developing AI models including Large Language Models
• Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications
• Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions

Desirable Skills & Experience

• Experience of deploying AI models in a scalable way for external users.
• Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs)
• Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd)
• Experience working in Cloud services

Benefits

• 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days
• Contributory Pension Scheme (up to 10.5% company contribution)
• Company bonus scheme (discretionary)
• 6 times salary Life Assurance
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work
• Enhanced sick pay
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave
• Private Medical Insurance (dependant on grade)

Work Culture

• 37hr working week, with an early 1.30pm finish Friday
• Flexible working culture that is output, not time spent at desk, focused. More formal flexible working arrangements can also be requested.
• Up to 5 paid days volunteering each year

RTX

Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon.

Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We’re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.

Algorithm Design Engineer – £55k - £75k – Leamington Spa

Hexwired Recruitment has partnered with a rapidly expanding Electronics Manufacturer with offices near Leamington Spa who are now seeking an Algorithm Design Engineer with solid experience building algorithms using OOP for multi sensor applications.

The company are developing a range of revolutionary products, with novel and unique applications that are being used globally in a range of industries. This Algorithm design role is an essential part of the companies R&D development and you will be heavily involved in the development of the companies current and future products.

Key Requirements:

* Degree or Masters in Maths, Physics CS or similar field

* Strong hands on OOP experience (C++ or C# preferred) ideally for High Maths and algorithm design work.

* Experience working on 3D and Graphic applications is highly desired (vectorisation, 3D graphic applications etc.)

The company are looking to offer a competitive salary dependent on experience along with an excellent benefits package. The company are also offering flexible working and the chance to get in on a huge greenfield project from the beginning. If you’re interested in this Algorithm Design role, please apply.

For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Javascript, Python, Electronics, FPGA, Golang Development, Machine Learning, Data Science or Simulation contact us today

A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response.

This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use.

Location: 1 day per week in London, remainder remote (UK based)

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

Requirements for Senior Machine Learning Scientist:

Strong experience in research and development of computer vision machine learning models

Experience implementing state-of-the-art deep learning models in PyTorch

Experience training large models across multiple GPUs and compute nodes

Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation

Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning

Strong Python and PyTorch skills, with the ability to read and write high-quality training code

Experience writing and maintaining production-grade Python code, including optimising training performance

Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing

Experience working in cloud environments

Strong Linux and Git skills alongside modern Python development tooling

Proactive, self-sufficient and communicative working style

Strong English written and verbal communication skills

MSc or PhD in Computer Science or a closely related subject

Responsibilities for Senior Machine Learning Scientist:

Research and develop advanced deep learning and computer vision models applied to complex medical data

Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression

Translate academic research into robust and usable machine learning solutions

Publish research outcomes in leading conferences and journals

Collaborate with engineering teams to support downstream deployment and application of models

Keep up to date with developments in machine learning research and apply them where appropriate

What the role offers:

A genuinely research-led machine learning position

Opportunity to publish high-quality research

Exposure to large-scale datasets and high-performance compute environments

Hybrid working with a remote-first setup

Competitive salary with flexibility for exceptional candidates

Applications:
If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links.

We’re 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 Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Computer Vision / 3D Imaging / Volumetric Imaging / Self-Supervised Learning / Representation Learning / Foundation Models / Segmentation / Classification / Regression / GPU Training / Distributed Training / Multi-GPU Training / High Performance Computing / Cloud Machine Learning / Linux

Are you ready to take your career to the next level and be part of an innovative team driving the future of autonomous technology? This company is offering an exceptional opportunity to join their dynamic environment as a Software Engineer — Autonomous Systems. With cutting-edge projects and a focus on delivering world-class solutions, this role is perfect for someone passionate about robotics, artificial intelligence, and machine learning from prototype to deployment. You’ll be working on groundbreaking advancements in uncrewed ground vehicles, contributing to a global leader in the defence sector. This is your chance to make a tangible impact and shape the future of technology.

What You Will Do:

• Work on the development of AI and machine learning solutions for autonomous uncrewed ground vehicles, ensuring self-directed technologies using AI, machine learning, and sensors to perform complex tasks, make real-time decisions, and adapt to changing environments with minimal human intervention.

• Implemnt Computer Vision AI and ML, focusing on algorithm models, data curation, and retraining processes.

• Collaborate with cross-functional teams, including software, hardware, and prototyping specialists, to deliver integrated solutions.

• Plan, schedule, and execute research and development agendas in conjunction with the AI/ML Team Lead.

• Stay ahead of industry trends and advancements, ensuring the company remains competitive and at the forefront of technology.

• Support the definition of project requirements and deliverables, while ensuring timely and high-quality execution.

What You Will Bring:

• Extensive knowledge of autonomous technologies, robotics, and uncrewed systems, with a focus on off-road environments.

• Proven experience in developing and applying AI and ML methodologies, toolsets, and solutions such as Computer Vision

• Strong technical expertise and ability to deliver innovative solutions in the automotive, defence, or transport industries.

• Fluency in English, with excellent communication skills to collaborate across teams and locations.

• Eligible to secure basic levels of security clearance.

As a Software Engineer — Autonomous Systems, you’ll play a pivotal role in driving innovation and excellence in the development of autonomous systems. This company is committed to delivering cutting-edge solutions that meet emerging customer needs and outperform competitors. By joining this team, you’ll contribute to the advancement of robotics and autonomous technologies, ensuring success in a highly competitive industry. Your expertise will be valued, and your impact will be significant.

Location:

This role is based in Nuneaton, Warwickshire.

Interested?:

Don’t miss the opportunity to be part of this exciting journey. Apply now to become a Software Engineer — Autonomous Systems and take the next step in your career. Your expertise and passion could be the key to shaping the future of autonomous technology!

Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.

In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included

Job Description

Trainee AI Engineer - No Experience Needed!\n\nReady to launch a future-proof career in AI - even if you have zero experience?\n\nWe’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location.\n\nWhether you’re working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months.\n\nHow it works - your journey to AI success\n\nStep 1: Discover AI\n\nStart your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform.\n\nStep 2: Full-Stack AI Mastery\n\nDive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub.

You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn.\n\nStep 3: Get Certified\n\nPrepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers.\n\nStep 4: Real-World Projects\n\nShowcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one.\n\nYour guaranteed future\n\nAfter completing your training, you’ll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home.\n\nWe guarantee a job offer upon completion or 100% of your course fees refunded.\n\nWe’re proud to have helped over 1,000 people each year transform their careers.

Explore our success stories on our website and see what your future could look like.\n\nAt a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nReady to future-proof your career?\n\nIf you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.\n\n‘Please note that this is a training course and fees apply

Bring your PhD software engineering skills to bear in a technical field This company produce high grade modelling and optimisation software with applications in physical processes and logistics. Their innovation group combine research and development, from algorithms to computational models to production software. They are seeking a PhD Software Engineer to join their team. You’ll have the chance to contribute to R&D, but in particular you will bring software development expertise, gained through work carried out during your PhD. You will therefore have: * A PhD (or a Master’s degree and equivalent experience) in Physics, Maths, Computer Science or a similar discipline. * Strong programming, problem-solving and analytical skills gained through extensive software development during your PhD. You likely know Python well along with either C++ or C#. * Good communication skills, with the ability to collaborate closely with colleagues from other disciplines. * Full work permission for the UK without time limit or the need for sponsorship. You will likely have contributed to a substantial codebase, and had to consider factors such as object-oriented design, principles such as KISS and DRY, and potentially even SOLID principles. It is also likely that your experience has given you additional skills in computational modelling, simulation, or machine learning, which would be beneficial. This is a full time, office-based position in Guildford, Surrey. The company offers an extremely competitive package including a strong pension, additional holiday, medical cover and bonuses. Another top job from ECM, the high-tech recruitment experts. Even if this job’s not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27588) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

Machine Learning Engineer London onsite to £110k

Do you have expertise with Machine Learning in production?

You could be progressing your career at a London based tech start-up with £5 million in recent pre-seed funding, in an impactful role that you’ll shape. The product is an AI agentic based platform that writes production grade code.

As a Machine Learning Engineer you’ll take open-source LLMs (code and general models) and turn them into high-performance software engineer agents using supervised fine tuning and large scale reinforcement learning. This isn’t prompt engineering. You’ll design and run serious training experiments across multi-node GPU clusters, build RL loops where models write code and get rewarded (or penalised) by real test outcomes and push long-context and MoE style architectures to their limits.

You’ll work hands-on across the full stack: custom PyTorch dataloaders, distributed training (DDP/FSDP), experiment tracking, debugging NCCL issues at 2am, and squeezing performance out of multi-GPU jobs. You’ll help design opinionated reward functions that reflect what great engineering actually looks like, not just benchmark scores.

You’ll extend benchmark suites, test models on real world repositories, analyse failure modes and feed insights back into data and training strategy. Collaborating with infrastructure, product and research teams you’ll contribute to decisions about what to train next and how to measure results.

Location / WFH:

You’ll be based in the London, dog friendly office on a fulltime basis, with daily catered lunch, working hours 0900-1700 (with no expectation to do more).

About you:

• You have strong experience with training deep learning models in production
• You have an indepth knowledge of PyTorch including hands-on experience with torch.distributed (DDP/FSDP-style training, distributed data loading, gradient scaling, etc.)
• You have experience of training large sequence models or LLMs
• You have a software engineering background with Python, also familiar with TypeScript and / or Golang
• You have distributed systems / training ops experience including practical experience running multi-node jobs on GPU clusters (Slurm, Kubernetes, or managed cloud equivalents) and are familiar with GPU performance tuning: memory usage, mixed precision, throughput vs. latency tradeoffs
• You’re collaborative with great communication skills

What’s in it for you:

• Salary to £110k
• Equity / stack options
• 30 days holiday (+ Bank Holidays)
• Daily lunch, monthly breakfasts
• Dog friendly office
• Pension
• Monthly socials
• Impactful role that you can shape and influence

Apply now or call to find out more about this Machine Learning Engineer opportunity.

Job Description

Trainee AI Engineer – No Experience Needed

Future-proof your career in Artificial Intelligence – starting today.

Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.

Train online at your own pace and land your first AI Engineer role in 1-3 months.

Please note this is a training course and fees apply

Job guaranteed - complete the programme and get a job or get your money back.

Our candidates earn £28,000-£45,000.

Why AI?

AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.

The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.

How It Works

Step 1 – AI Engineering Fundamentals

Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.

Step 2 – Data Fundamentals

Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.

Step 3 – Notebooks & IDEs

Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.

Step 4 – Python Programming

Master Python, covering everything from the basics to object-oriented programming (OOP).

Step 5 – Python Streamlit Project

Apply your Python skills by building a car price prediction app using Python and Streamlit.

Step 6 – Python for Data

Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.

Step 7 – AI Sentiment Analysis Project

Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.

Step 8 – AI Prompt Engineering

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs.

Step 9 – Retrieval-Augmented Generation (RAG)

Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.

Step 10 – AI Specialised Customer Service Chatbot Project

Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.

Step 11 – Machine Learning Fundamentals

Understand machine learning principles and algorithms, and how to train and test models using scikit-learn.

Step 12 – Machine Learning Project

Put your machine learning knowledge into practice with a hands-on project.

Step 13 – AI & Data Ethics

Study the ethical considerations in AI, including issues of bias, fairness, and data privacy.

Step 14 – Oral Exam

Complete a virtual oral exam to assess your understanding and ability to apply your learning.

Step 15 – AWS Certified Cloud Practitioner

Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.

What You Get

· 100% online, self-paced training

· Microsoft AI-900 certification included

· 1-to-1 tutor and recruitment support

· Real-world project experience

· Job guarantee – get a job or your money back

· Starting salary of £28,000–£45,000

We Get You Hired

We’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.

Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.

We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back.

“Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in London

Ready to Start?

If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.

Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Please note this is a training course and fees apply

-AI Engineer
-Edinburgh / Hybrid
-Excellent Salary & Benefits
-Immediate Start

Truly unique new role to the market from one of the UK’s fastest growing tech firms, which is servicing some of the largest global companies and growing at an exciting rate.

We are looking for talented AI Engineers at Senior and Mid-level, with a strong interest or experience in designing, building, and deploying intelligent systems - with a strong focus on agentic AI. Whether you already have hands-on experience building agentic workflows or you’re deeply curious and eager to be involved in this space, we’d love to hear from you.

The role will involve working on impactful projects, influencing technical direction and helping shape how AI is applied. Importantly, everything is driven by R&D and AI innovation, focused on tackling the most challenging aspects of AI. You will work closely with product, engineering and data teams to turn cutting-edge machine learning and AI research into scalable, production-ready solutions.

This is a superb opportunity with a forward-thinking and expansive client, with candidates being considered from a variety of unique and diverse backgrounds.

Key Responsibilities:

• Design and implement AI systems using LLMs and agent-based architectures for production use.
• Build and maintain scalable data pipelines and model training workflows
• Build autonomous or semi-autonomous agents that can reason, plan, and take actions
• Evaluate, iterate, and improve AI system performance, safety, and reliability
• Experiment with frameworks for agentic AI
• Collaborate with product and engineering teams to turn ideas into production-ready AI features
• Stay up to date with the fast-moving AI/LLM ecosystem

Required Skills & Experience (A blend of):

• Strong experience with Python and common ML libraries (e.g. PyTorch, NumPy, Panda, TensorFlow, scikit-learn)
• Experience with LLMs and fine tuning (OpenAI, open-source models)
• Hands-on experience with agent frameworks (e.g. LangGraph, AutoGen, CrewAI, etc.)
• Experience deploying AI systems to production
• AI Solution design
• Experience deploying models into production environments
• Experience of data processing tools and databases (SQL, NoSQL, or big data frameworks)
• Commercial expertise building microservices
• Strong problem-solving skills and the ability to work independently
• Curiosity and enthusiasm for agentic AI, even if your experience is still evolving
• Comfortable working in fast-moving, experimental environments

The above is not exhaustive. Please forward your CV to to discuss this requirement in more detail.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

About Adolescent Health Study

The Adolescent Health Study (AHS) is an ambitious new UKRI-funded initiative to establish a prospective, longitudinal population study that will generate a globally leading open science data platform and research resource. AHS aims to recruit at least 100,000 young people from across the UK and to follow their mental and physical health and wellbeing over at least 10 years. It plans to collect data through questions and measures; to obtain bio-samples for a wide range of genomic and other high-throughput assays; and to capture linked data relevant to health and wellbeing from participants’ health, education and other administrative records. There will be a strong emphasis on engaging with and involving young people, schools, parents and other relevant stakeholders in the design and delivery of the study, as well as on including young people that represent as wide as possible a range of backgrounds, experiences and characteristics. AHS will focus on enabling a wide range of research, including studies of the critical biological and social developments that occur during the transition from childhood to adulthood and the determinants of both mental and physical health and wellbeing in adolescents and young adults.

Purpose of the post

The Study Delivery and Governance Lead will play a central role in ensuring AHS meets the highest ethical, governance and regulatory standards. The post holder will lead the development, submission and oversight of the AHS Research Tissue Bank application, coordinate ethical approvals and ongoing amendments, and provide governance leadership to support study development and delivery.

They will also oversee elements of study set up and delivery, supporting the development of piloting tools and protocols, and addressing operational and logistical considerations necessary for successful delivery. They will line‑manage Research Officers and Senior Research Officers, contributing to a cohesive, high‑functioning team.

Main responsibilities

Research Governance

• Lead the full process of developing, drafting, and submitting the AHS Research Tissue Bank (RTB) application.
• Manage ongoing approvals, amendments, renewals and reporting obligations to Research Ethics Committees, the Health Research Authority, the Confidentiality Advisory Group and other regulatory bodies.
• Develop, implement and maintain governance frameworks, SOPs and quality assurance processes required for RTB operation, keeping abreast of developments in the regulatory landscape.
• Maintain accurate documentation, version control and quality‑assurance procedures relating to ethics and regulatory submissions.
• Act as key point of contact for research governance‑related queries from internal and external stakeholders.

Study Development & Planning

• Work closely with the Senior Programme Manager to contribute to the design and refinement of study protocols, piloting phases and operational plans.
• Lead the planning and delivery of specific study workstreams, as required, defining milestones, tracking progress, and identifying interdependencies as the study develops.
• Coordinate cross‑team activity involving research, data, operations and engagement teams to ensure study components are integrated and delivered effectively.

Project Management & Coordination

• Develop and maintain detailed project plans for governance and study‑delivery workstreams as required, ensuring roadmaps are accurate, realistic and kept up to date.
• Identify, track and mitigate risks related to both governance and delivery, escalating as appropriate and working collaboratively to resolve issues.
• Prepare reports and briefings for AHS governance structures (e.g., AHS Executive, Board of Trustees, Scientific Advisory Board).

Team Leadership & Line Management

• Provide mentoring and day‑to‑day guidance on governance‑related queries, ethics submissions and documentation development.
• Line manage selected staff within the study team, supporting workload planning, professional development and quality assurance.
• Foster effective team working across research, operational and scientific colleagues.

Stakeholder Management

• Build and maintain strong working relationships with internal teams including scientific leads, operational delivery, data management and engagement teams.
• Represent AHS with external partners related to governance, regulatory support, tissue banking and operational delivery.
• Work with the engagement team to ensure young people are involved in all elements of the study development and delivery.

Knowledge, skills and experience

Essential criteria

• Extensive experience in research governance, NHS research ethics management, clinical research management or equivalent.
• Demonstrable experience drafting protocols, participant documents and regulatory submissions.
• Strong understanding of ethical and regulatory frameworks including the Human Tissue Act, UK GDPR, and NHS research ethics processes.
• Excellent written and verbal communication skills, with proven ability to translate complex regulatory requirements into clear and actionable guidance for colleagues.
• Strong organisational skills and attention to detail, with experience managing competing priorities.
• Experience in risk identification and mitigation within research programmes.
• Educated to degree level (or equivalent experience) in a relevant field.
• Experience line managing or supervising staff.

Desirable criteria

• Experience with biobanking, Research Tissue Bank applications or biosample governance.
• Experience with longitudinal population studies or large multi‑site research programmes.
• Understanding of data‑linkage governance and consent processes.
• Project‑management qualification (e.g., PRINCE2, APM, Agile).
• Experience working with children/young people, school‑based research or youth‑focused engagement.
• Experience engaging diverse stakeholders.

Dimensions

• Full time role with flexible working arrangements
• AHS is a national organisation, and our activities take place across the UK
• Flexible working will be required across several geographical locations in the UK. Travel may be required to AHS locations, fieldwork sites and partner organisations

Application Process

This post is subject to receipt of satisfactory references and the post holder having the right to work in the UK (visa sponsorship is not available). Please apply with a CV and a covering letter (of no more than two pages) explaining what you can bring to this role, and including your current salary.

The closing date for this position is EoD Sunday 08 March 2026.

Interviews are currently expected to be held during the week commencing 30 March 2026.

Equal Opportunities Policy Statement

AHS is an equal opportunities employer, and as such aims to treat all employees, consultants and applicants fairly. AHS is an equal opportunities employer, and as such aims to treat all employees, consultants and applicants fairly. It is our policy to provide employment equality to all, irrespective of age, disability, gender identity or expression, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.

Beyond these protected characteristics, we acknowledge the importance of socio-economic background, childcare and caring responsibilities, educational background, neurodiversity, and any other factors that shape an individual’s identity and opportunities. We strive to create an environment where all colleagues feel valued, supported, and able to contribute fully.

Values

It is an exciting time for the Adolescent Health Study (AHS) as we establish our senior leadership team. As the senior executive team evolves, the AHS values will be grounded in inclusivity, integrity, accountability, and collaboration.

About Adolescent Health Study

The Adolescent Health Study (AHS) is an ambitious new UKRI-funded initiative to establish a prospective, longitudinal population study that will generate a globally leading open science data platform and research resource. AHS aims to recruit at least 100,000 young people from across the UK and to follow their mental and physical health and wellbeing over at least 10 years. It plans to collect data through questions and measures; to obtain bio-samples for a wide range of genomic and other high-throughput assays; and to capture linked data relevant to health and wellbeing from participants’ health, education and other administrative records. There will be a strong emphasis on engaging with and involving young people, schools, parents and other relevant stakeholders in the design and delivery of the study, as well as on including young people that represent as wide as possible a range of backgrounds, experiences and characteristics. AHS will focus on enabling a wide range of research, including studies of the critical biological and social developments that occur during the transition from childhood to adulthood and the determinants of both mental and physical health and wellbeing in adolescents and young adults.

Purpose of the post

The Research Officer will play a key role in supporting the scientific foundation, development, and coordination of AHS. The post holder will focus initially on supporting the development of the AHS pilot, contributing as required to methods selection, co-development of materials and assessment processes, writing of protocols and ethics submissions and preliminary testing of processes. Activities will involve conducting comprehensive literature reviews, supporting the development of piloting tools and protocols, engagement with schools, adolescents and parents, and addressing operational and logistical considerations necessary for successful delivery. The position is essential to ensuring the pilot and future study are grounded in robust evidence and implemented effectively.

Main responsibilities

Research & Evaluation

• Support in summarising existing evidence, and ongoing work with the research community, to identify insights and knowledge gaps that inform piloting and study research questions
• Support in conducting literature reviews and background research on determinants of adolescent health and identify tools and measures suitable for field-based assessment
• Contribute to the design and delivery of qualitative and/or quantitative research activities in support of study set-up
• Contribute to the design and delivery of public engagement and involvement activities

Piloting Design & Planning

• Contribute to developing piloting protocols and frameworks
• Assist in drafting documents for submission for ethical approval
• Help design, test and adapt measurement tools (e.g. questionnaires) and visit processes
• Support in the preparation of piloting recruitment materials
• Assist in the recruitment of, and relationship building with, schools for pre-testing

Data Collection & Fieldwork Support

• Support procurement of logistics for fieldwork
• Support in the preparation of field worker training materials
• Support training for data collectors and field staff
• Assist in data collection where required
• Be a part of a core team that ensures adherence to ethical standards and protocols

Piloting Coordination Support

• Support meetings and workshops on workstreams
• Support write-up of feasibility testing findings, and contribute to revisions on plans based on findings
• Support the senior study project manager as required on managing piloting timelines, risks and progress

Administrative and Logistical Support

• Take meeting minutes for the scientific study team as required
• Manage piloting documentation and version controls
• Respond to stakeholder queries as required

Knowledge, skills and experience

Essential criteria

• A Masters degree in epidemiology, public health, social sciences, or a related discipline
• Demonstrable experience in supporting research studies, preferably in population and/or adolescent health.
• Ability to translate complex findings into clear, actionable insights
• Ability to synthesise literature and evidence concisely for reporting to diverse audiences
• Evidence of strong written and verbal communication skills, including the ability to contribute to protocols and ability to communicate effectively with a wide range of internal and external stakeholders
• Strong organisational skills and attention to detail, with the ability to manage competing priorities and deadlines
• Proven ability to work effectively as part of a multidisciplinary team
• Ability to form strong working relationships with colleagues, partners and stakeholders at all levels, both in person and virtually.

Desirable criteria

• A PhD in epidemiology, public health, social sciences, or a related discipline (completed or due to be submitted within 3 months of application)
• Prior experience of working on adolescent health, youth development, or related public health issues
• Experience of conducting and reporting on literature reviews
• Experience with Research Ethics Committee submissions
• Good knowledge of basic principles of ethical research
• Clear understanding of study designs (including piloting) and data collections tools, and their application in school settings
• Experience with the development, testing, or adaptation of research instruments (e.g. questionnaires)
• Experience of working with young people and/or schools (through research and/or public involvement)

Dimensions

• Full time role with flexible working arrangements
• AHS is a national organisation, and our activities take place across the UK
• Flexible working will be required across several geographical locations in the UK. Travel may be required to AHS locations, fieldwork sites and partner organisations

Application Process

This post is subject to receipt of satisfactory references and the post holder having the right to work in the UK (visa sponsorship is not available). Please apply with a CV and a covering letter (of no more than two pages) explaining what you can bring to this role, and including your current salary.

The closing date for this position is EoD Sunday 08 March 2026.

Interviews are currently expected to be held during the week commencing 30 March 2026.

Equal Opportunities Policy Statement

AHS is an equal opportunities employer, and as such aims to treat all employees, consultants and applicants fairly. AHS is an equal opportunities employer, and as such aims to treat all employees, consultants and applicants fairly. It is our policy to provide employment equality to all, irrespective of age, disability, gender identity or expression, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.

Beyond these protected characteristics, we acknowledge the importance of socio-economic background, childcare and caring responsibilities, educational background, neurodiversity, and any other factors that shape an individual’s identity and opportunities. We strive to create an environment where all colleagues feel valued, supported, and able to contribute fully.

Values

It is an exciting time for the Adolescent Health Study (AHS) as we establish our senior leadership team. As the senior executive team evolves, the AHS values will be grounded in inclusivity, integrity, accountability, and collaboration

Company description

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, youll discover the real differentiator is our culture. We push the limits of innovation to solve the worlds most important challengesstriving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

Job description

THE ROLE:

AMD is looking for a specialized software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.

THE PERSON:

Our team is seeking expert-level skilled and motivated senior developer with a strong technical foundation in C++/Python AI development in Linux environment. The ideal candidate combines deep technical expertise with strong analytical abilities, excelling both as a collaborative team member and as an independent contributor capable of defining goals, scoping work and leading development efforts end to end.

KEY RESPONSIBILITIES:

• Model Development and Optimization: Lead the development and optimization of Deep Learning models on AMD GPUs, ensuring high performance and scalability across training and inference workloads.
• Framework Enablement: Lead efforts to enhance PyTorch and its ecosystems on AMD GPUs, contributing performance-critical improvements to upstream open-source repositories.
• Open-Source Intergration: Engage directly with PyTorch and other open-source maintainers to align on requirements, propose enhancements and ensure AMD contributions are successfully adopted and maintained upstream.
• Community Feature Enablement: Collaborate with PyTorch community and ecosystem partners to design, enable and upstream new features, ensuring AMD GPUs remain first class for emerging AI workloads.
• Cross-Functional Collaboration: Partner closely with internal GPU Libraries, compilers, and runtime teams to identify performance bottlenecks and deliver optimized solutions for large-scale AI workloads.
• Scalable Systems Optimization: Developed innovative solutions for both scale-up (multi-GPU) and scale-out (multi-node) distributed training environments to optimize performance on AMD GPUs.
• Engineering Excellence: Apply rigorous software engineering best practices, including code review, testing, CI/CD integration and debugging, to deliver reliable and maintainable solutions at scale.

Required profile

PREFERRED EXPERIENCE:

• Software Engineering: Expert skills in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.
• AI Framework & Deep Learning: Strong understanding of AI frameworks such as PyTorch, Triton and vLLM, with applied knowledge across domains such as Natural Language Processing, Vision, Audio and Recommendation Systems.
• GPU Computing: Strong experience with GPU Programming models (CUDA, HIP).
• Development Processes & Tools: Expert with modern software practices and tooling, including debuggers, profilers, and version control systems (e.g., GitHub).
• Collaboration & Problem Solving: Effective and efficient communicator with strong analytical and problem-solving skills, capable of working across diverse technical teams.

ACADEMIC CREDENTIALS:

• Masters or PhD level degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Senior Professional Experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development.

What we offer

#LI-MH3

#LI-HYBRID

Job Title: Lecturer in Networking and Cyber Security (HE)

Location: Birmingham

Salary: £38,784 - £43,482 per annum - AC2

Job type: Permanent, Full-time / Part-time

UCB is an equal opportunities employer. We are TEF rated Silver, with a Good Ofsted rating.

The Role:

Ready to inspire the next generation of tech professionals? Join our growing Computing Department and play a key role in shaping the future of Higher Education.

Join our academic team and be part of our growth!

As a Lecturer, you’ll deliver inspiring and inclusive teaching that supports all students in achieving their full potential. This role will focus on teaching computing programmes areas including HE Cyber Security, where you’ll help shape and guide future leaders in the field.

You will prioritise practical application and demonstration over theoretical instruction, ensuring students gain real-world skills and experience.

Why University College Birmingham?

Growing Department: Be part of a team that’s thriving and expanding every year.

Supportive & Inclusive: Join a collaborative, diverse environment.

Career Development: Access ongoing professional growth opportunities.

Industry Connections: Work with industry partners, bringing real-world learning into the classroom.

Benefits:

• Generous allocation of annual leave
  • 38 days’ paid leave per year
  • 12 Bank Holidays & Concessionary Days
• Excellent Teachers’ Pension Scheme
  • Employer Contributions - 28.6%
• Subsidised private healthcare provided by Aviva including a Digital GP Service.
• Employee Assistance Programme inclusive of counselling services, financial wellbeing support and bereavement support
• Annual health MOTs with our Registered Nurse
• Excellent staff development opportunities including professional qualification sponsorship
• A variety of salary sacrifice schemes including technology and cycle.
• Heavily-subsidised on-site car parking in central Birmingham
• Free on-site gym membership

Extra Information:

All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.

Closing Date - Sunday 12th April 2026.

Interview Date - Monday 4th May 2026.

Please click APPLY to be redirected to our website to complete an application form.

Candidates with the experience or relevant job titles of; University Lecturer, Education Lead, Academic Lead, College Tutor, Tutor, Teacher, College Teacher, Cyber Security Analyst, Information Technology Security Specialist, Information Technology Security, Security Architect, Information Security Consultant, Information Technology Security Consultant, Senior Information Technology Security Officer, may also be considered for this role.

Job Title: AI Developer
Location: Mainly WFH with occasional onsite visits
Duration: 6 Months
IR35: £600 p/day Inside IR35
Clearance: Must hold active SC clearance and be a sole UK citizen

Role Overview

We are seeking an experienced AI Developer to support a high-profile programme within the Public Sector. This role will focus on AI software development, building proof of concepts and supporting the transition from experimental solutions into production-ready systems.

The position is primarily remote, with occasional onsite visits required.

Key Responsibilities

• AI software development and prototyping
• Proof of Concept (PoC) development
• Working with LLM stacks (e.g. Ollama + LangChain)
• Machine learning development using Scikit-learn
• Transitioning solutions from synthetic data environments to production data
• Working within Agile Scrum delivery teams

Key Skills & Experience

• Strong experience in AI/ML software development
• Hands-on experience with LLM frameworks and orchestration tools
• Experience developing and validating PoCs
• Strong understanding of productionising AI solutions
• Experience working in Agile Scrum environments
• Active SC clearance (essential)

Additional Information

• Candidates must be sole UK citizens and SC cleared.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Job DescriptionAll potential applicants are encouraged to scroll through and read the complete job description before applying.Trainee AI Engineer – No Experience NeededFuture-proof your career in Artificial Intelligence – starting today.Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.Train online at your own pace and land your first AI Engineer role in 1-3 months.Please note this is a training course and fees applyJob guaranteed - complete the programme and get a job or get your money back.Our candidates earn £28,000-£45,000.Why AI?AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.How It WorksStep 1 – AI Engineering FundamentalsStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.Step 2 – Data FundamentalsUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.Step 3 – Notebooks & IDEsGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.Step 4 – Python ProgrammingMaster Python, covering everything from the basics to object-oriented programming (OOP).Step 5 – Python Streamlit ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.Step 8 – AI Prompt EngineeringMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.Step 9 – Retrieval-Augmented Generation (RAG)Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.Step 10 – AI Specialised Customer Service Chatbot ProjectCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.Step 11 – Machine Learning FundamentalsUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.Step 12 – Machine Learning ProjectPut your machine learning knowledge into practice with a hands-on project.Step 13 – AI & Data EthicsStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.Step 14 – Oral ExamComplete a virtual oral exam to assess your understanding and ability to apply your learning.Step 15 – AWS Certified Cloud PractitionerFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.What You Get· 100% online, self-paced training· Microsoft AI-900 certification included· 1-to-1 tutor and recruitment support· Real-world project experience· Job guarantee – get a job or your money back· Starting salary of £28,000–£45,000We Get You HiredWe’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back.“Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in LondonReady to Start? xwzovoh If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.Please note this is a training course and fees apply

Ormskirk, West Lancashire
Up to 55,000 + 25 Days Holiday + Bank Holidays + Bonus (up to 20%) + Private Healthcare + Pension + Holiday Salary Exchange + Cycle to Work Scheme + Onsite Parking & EV Charging + Onsite Canteen

Excellent opportunity for an Optical Systems Engineer to join a global manufacturing group, working with state-of-the-art technologies to develop advanced inspection and measurement solutions used across international production sites.

This company are a worldwide leader in their field, operating across architectural, automotive and specialist glass technologies. Their Process Control team plays a key role in developing, deploying and supporting inspection and metrology systems that feed critical data into global manufacturing execution platforms, underpinning quality, performance and process optimisation.

In this role you will work across the full lifecycle of automatic inspection systems - from concept and design through to implementation, deployment and ongoing support. You’ll create and enhance optical and measurement solutions, develop software (including algorithms and image processing), and work with a mix of legacy tools and modern high-level languages. You’ll partner closely with R&D and production teams, provide both on-site and remote technical support, carry out technical assessments of new technologies, and occasionally travel overseas to support global sites.

The ideal candidate will have a strong background in optical systems, industrial metrology or precision measurement, alongside experience developing inspection software (e.g. image processing, algorithm design, C# or similar languages). You’ll combine hands-on lab skills with strong problem-solving abilities, excellent communication, and solid project/time management. A 2:1 degree or higher in a STEM subject and several years’ relevant industry experience are essential.

This is a fantastic opportunity to join a highly technical team within a global organisation, work at the forefront of inspection and process control technology, and directly influence product quality and manufacturing performance across worldwide operations.

The Role:
Creating and enhancing automatic inspection systems from concept through to implementation
Developing optical / measurement solutions, algorithms and inspection software (incl. image processing, C# or similar)
Delivering and supporting inspection systems and instruments across global manufacturing sites (on-site and remote)
Assessing new technologies in inspection & process control and contributing to continuous improvement initiatives

The Person:
2:1 degree or higher in a STEM subject + 5+ years’ relevant experience Experience with optical systems, industrial metrology and precision measurement techniques
Software development experience (e.g. algorithm design, image processing, C# or similar), with strong experimental/lab skills
Excellent communication, high attention to detail and strong project/time management; willing to undertake occasional overseas travel

Reference Number: BBBH(phone number removed)B

To apply for this role or to be considered for further roles, please click “Apply Now” or contact Tommy Williams at Rise Technical Recruitment.

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client.

We are an equal opportunities company and welcome applications from all suitable candidates.

A growing technology team is developing a new generation of intelligent, audio-driven products designed to interpret real-world acoustic environments and generate meaningful insight. As development accelerates, they are seeking an Audio Machine Learning Engineer to shape how sound is analysed, classified, and translated into useful information across edge and cloud platforms.

The Opportunity Working alongside embedded, hardware, and software specialists, you will contribute to the full lifecycle of audio intelligence, from dataset strategy and model design through to optimisation and deployment.

The role offers genuine ownership and the chance to influence core technology within a product-focused engineering environment.

Required:

Core experience

• Strong grounding in audio machine learning or applied signal processing
• Experience training and evaluating models using modern ML tooling
• Awareness of real-world acoustic challenges such as noise, reverberation, and variability
• Comfort working in a small, fast-moving engineering team
• Likely a PhD or MSc + some industry experience

Beneficial

• Edge or embedded ML optimisation
• Audio feature extraction or DSP knowledge
• Postgraduate study in a relevant technical discipline
• Experience with sensing, monitoring, or real-world data systems

Mathematician iGaming Studio
Midlands (Hybrid 3 days onsite: Monday, Tuesday & Thursday)
Salary up to £40,000

An established iGaming provider is seeking a Mathematician to join their game development studio. This role will focus on creating and validating the mathematical frameworks behind casino games across both retail and digital platforms.
Working alongside experienced designers and developers, you ll take ownership of game maths models from concept through to release, ensuring accuracy, quality, and regulatory compliance throughout the development lifecycle.

What You ll Be Doing:

• Designing and refining mathematical models for casino-style games
• Producing simulations and detailed calculations to validate game performance
• Creating and maintaining clear, structured maths documentation
• Working closely with development teams to ensure correct implementation of models
• Supporting game submissions with required technical documentation
• Reviewing competitor products and analysing performance data
• Contributing to continuous improvements in processes and modelling approaches
• Providing guidance and support to less experienced team members

What We re Looking For:

• Ideally a minimum of 2 years experience in casino game mathematics or similar role
• Degree in Mathematics, Physics or a related quantitative discipline (or equivalent practical experience)
• Strong programming ability for statistical simulations
• Advanced proficiency in Microsoft Excel
• Solid understanding of casino maths theory (RTP, volatility, probability models, etc.)
• High level of accuracy and attention to detail
• Strong communication skills and ability to collaborate across teams
• Comfortable managing workload to meet project deadlines

Benefits:

• 25 days holiday + bank holidays (pro rata)
• Competitive pension scheme
• Life assurance from day one
• Enhanced family leave policies
• Private healthcare support & Employee Assistance Programme
• Hybrid working model
• Birthday leave
• Holiday buy & sell scheme
• Employee discounts platform
• Company social events & recognition awards

This is a great opportunity to join a collaborative studio environment where you ll play a key role in shaping engaging gaming products for multiple markets. Please apply to

We are recruiting for a SC Cleared HPC Containerisation/HPC Expert on contract to work for a leading Defence organisation based in Derby 2 days per week and remotely 3 days.

Role Overview

This role provides high-level consultancy and first hand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows.

Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations based on real workloads

Key Responsibilities

The ideal candidate will collaborate with the customer to assess existing HPC infrastructure and workloads through various customer workshops and interviews, to identify:

HPC Environment Assessment & Optimization

• Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases.

• Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options.

HPC Containerization Strategy

• Produce a strategy for MPI-optimized container images using tools such as Apptainer/Singularity (SIF), OpenMPI, Podman, and Buildah.

• As part of the report’s findings outline repeatable, secure build pipelines for HPC workloads.

• Identify in the report opportunities to align container platforms with HPC orchestration requirements (batch, interactive, scientific workflows).

Technical Workshops, Stakeholder Engagement

• Lead technical discussions, workshops, and training sessions to upskill engineering and research teams on containerization and HPC best practices.

• Produce concise written reports outlining the recommendations and findings, use cases, future strategy, HPC market view along with, next steps, and architectural patterns.

HPC Tools, Runtimes & Ecosystem Integration

• Have a good understanding of Slurm scheduling, MPI job patterns, JupyterHub/JupyterLab for data-science workflows, GPU scheduling tools such as Run:AI, and SDLC practices tailored to research/HPC environments.

Essential Skills & Experience

• Proven background in high-performance computing, including hands-on use of Beowulf-style cluster environments.

• Strong practical knowledge of Slurm job scheduling and MPI job optimization.

• Demonstrated experience with MPI-aware container technologies (Apptainer/SIF, OpenMPI, Podman, Buildah).

• Ability to run structured interviews, technical workshops, and cross-team engineering sessions.

• Experience supporting typical HPC, ML and scientific workloads.

Desirable Experience

• Knowledge of CFD software (eg, OpenFOAM).

• Familiarity with Kubernetes or Singularity as an HPC runtime, GPU slicing, and image life cycle governance.

• Experience contributing written outputs such as market assessments of HPC container technologies.

Competitive salary up to £140,000- £210,000 + bonus London based (1 day in office per month)

This is a global technology group with an R&D team that moves fast and thinks big. They’re exploring how AI can raise the quality and performance of large-scale digital products, blending hands-on engineering with real research. If you enjoy trying new ideas, you’ll fit in perfectly.

THE COMPANY

This is a global tech organisation with a dedicated R&D function exploring how AI can improve the quality, reliability, and performance of large-scale digital experiences. The team works on forward thinking projects that blend research, experimentation, and hands-on engineering.

THE ROLE

As a Staff ML Engineer, you’ll take the lead on projects focused on anomaly detection in video based or interactive environments. You’ll guide technical direction, support junior engineers, run experiments, and ship models into production.

Specifically, you can expect to be involved in the following:

• Building and improving ML models for anomaly detection
• Leading research work streams
• Scoping, planning, and communicating project direction with stakeholders
• Mentoring juniors
• Working across areas like self supervised learning, multi modal, or vision-language models
• Bringing concepts to life: from research ? prototype ? production

SKILLS & EXPERIENCE

You’ll thrive in this role if you have:

• Experience leading technical delivery or mentoring junior ML engineers
• Strong hands-on ML skills in Python and frameworks like PyTorch or TensorFlow
• A background in anomaly detection, computer vision, or video based ML
• Experience taking ML research or prototypes through to real world deployment
• Either a research grounding (publications, research-led roles) or deep knowledge of gaming/interactive systems

BENEFITS

• Competitive salary
• 1 day per month in the office
• Sponsorship available
• Great feedback and clear process

HOW TO APPLYPlease register your interest by sending your resume to Madison Barlow via the Apply link on this page.

Up to £100,000 + benefitsCentral London (Hybrid - 2-3 days per week in office)

You will be joining this company at an exciting time, as the company is growing it’s AI capabilities from the ground up. You’ll work on impactful AI solutions used across hundreds of locations and by thousands of customers, with full ownership of projects throughout the full process. This will be a hands-on role and requires someone who wants to make a real difference in consumer lives with AI.

The Company

This well-known organisation is undergoing a large digital transformation, investing heavily in AI to improve both internal operations and customer experience. With a newly formed digital leadership team, AI sits at the heart of the company’s long-term strategy, giving you the opportunity to deliver solutions that make a measurable impact at scale.

The Role

As an AI Engineer, you will design, build, and deploy end-to-end AI solutions. You’ll work closely with senior stakeholders, owning projects from discovery through to delivery, and helping translate complex AI concepts into clear, actionable outcomes.

Specifically, you can expect to be involved in the following:

• Build AI products end-to-end, from prototypes to production.
• Work with teams across the business to define problems, test ideas, and measure impact.
• Prepare data and develop models using both classical ML and generative AI.
• Integrate AI into digital products through services, APIs, and safe, compliant guardrails.
• Manage model life cycle and MLOps while sharing best practices and enabling colleagues.

Skills and Experience

The successful AI Engineer will have the following skills and experience:

• Strong Python and SQL experience, ideally with Databricks
• Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs)
• Comfortable with data engineering basics and MLOps practices
• Experience working with cloud platforms such as Azure, AWS, or GCP

Benefits

The successful Senior AI Engineer will receive the following benefits:

• Salary up to £100,000
• Performance-related bonus
• Hybrid working model
• Comprehensive benefits package including healthcare and pension

How To Apply

Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.