103 jobs found

Software AI Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation this Software AI Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready, market leading solutions. This role would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect excellent career development and training opportunities within a market leading SME. Given the nature of the work an active DV clearance would be a massive plus. This Software AI Engineer based near Birmingham should have most of the following key skills: - A software engineering background - Python, JavaScript, Typescript node.js etc - A real passion for bleeding edge generative AI and/or advanced machine learning technology - Pytorch, TensorFlow, LlamaCPP, Keras etc - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - AWS preferred but all considered - Very strong communication skills - Experience working in R&D or small technical teams would be a plus This Software AI Engineer will receive - Starting salary of up £70,000 DoE - Hybrid working (1 day a week in the office) - Extensive personal development scheme - 25 days holiday - Generous pension scheme - 10% Bonus - Private healthcare - Truly autonomous, collaborative culture with extensive growth potential - Regular remuneration reviews So if you are a Software AI Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Birmingham Research & development, generative AI, machine learning, LLM, Python, PyTorch

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 AI/ML Sensor Fusion Engineer . 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.

Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Systems Administrator to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You ll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Systems Administrator will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Systems Administrator and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability.

Title : Research Development Software Engineer Location: London, UK- 50 % on site End date: 30th June 26 (12 months intent) Location: A minimum of 50% per week is expected onsite rising to 60% at some point in the future. Laptop: Microsoft to provide Role Summary The successful candidate will own day-to-day technical work spanning research platform development, evaluation pipelines, human-study support, data readiness for downstream research and development, and the effective use of agentic coding workflows to improve research quality and pace. The role is central to maintaining momentum through the next phase of the project, ensuring that community input can be collected, evaluated, processed, and incorporated into the wider ML research and engineering pipeline while working closely with researchers, engineers, and community partners in an inclusive, multidisciplinary environment. Key Responsibilities Lead development and maintenance of the Community Library Creator research platform, including new experimental API and UI features in technologies such as FastAPI and React that support human-AI feedback and synthetic-data workflows for community partners. Maintain and extend model evaluation pipelines, including quantitative measures such as FVD and VBench, qualitative workflows, and quality tracking across human studies and platform outputs. Develop tools for data generation and analysis to support the exploration and measurement of model capabilities and to support user testing and studies. Support community deployments for current NGO cohorts, including evaluation task generation, research platform readiness, and issue triage. Manage data ingestion, post-engagement processing, and research-ready data handoff for downstream analysis, evaluation and model development. Apply and strengthen agentic coding workflows and modern AI tooling to improve research velocity, code quality, and codebase stewardship. Maintain engineering quality and security posture by addressing compliance and vulnerability issues and upholding testing, type checking, and linting practices. Qualifications and Experience Required: Strong software engineering skills in Python, with experience building maintainable, well-tested, and secure software for evaluation workflows, data pipelines, or experimental platforms, together with strong engineering hygiene and quality practices. Strong analytical and problem-solving skills for ambiguous research and engineering challenges, including the ability to work with uncertainty and ambiguity, translate evolving research goals into practical technical solutions, and design robust tools for evaluation, data analysis, and user studies. Experience with machine learning experimentation, model evaluation, active learning, human studies, or human-in-the-loop AI systems. Experience with FastAPI, React, cloud infrastructure, Azure-hosted services, containers, or data pipelines.

Company Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We've been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas' Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we're now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you'll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on data requirements. Qualifications What we'd love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What's in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions to esure's success. 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday. Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Company funded private medical insurance for qualifying colleagues. Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members. We'll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn't be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We're a proud supporter of the ABI's 'Make Flexible Work' campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. And much more; See a full overview of our benefits here We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.

Location: Bristol (20% onsite) Duration: 6 month contract Rate: 78ph LTD (Outside IR35) Role details: Our client, a leader in the defence and security sector, is seeking a Senior Machine Learning Engineer to join their team on a contract basis. This role involves developing and deploying advanced machine learning models essential for secure, high-integrity systems and services across critical defence, government, and public sector programmes. Key Responsibilities: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through to training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ML techniques and tools Job Requirements: Proven experience developing and deploying machine learning models in production environments Experience with the OpenCV framework and object detection models, including YOLO, RCNN, and Vision models Proficiency in optical flow and object tracking for video analysis Solid knowledge of Optical Character Recognition (OCR) models and fine-tuning with custom datasets Understanding of accuracy measurement metrics like Character Error Rate (CER) and Word Error Rate (WER) Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch) Understanding of ML architectures, hyperparameter tuning, and performance optimisation Experience with MLOps tools and CI/CD pipelines Familiarity with data engineering concepts (ETL, data pipelines, SQL) Ability to analyse complex data and communicate insights effectively Strong problem-solving skills and attention to detail Excellent collaboration and stakeholder engagement skills Core Areas (Must Have): ML Development Expertise: Hands-on experience building and deploying ML models Lifecycle Ownership: Ability to manage ML workflows from design to production Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration Governance & Compliance: Familiarity with secure coding and quality assurance standards Collaboration & Mentoring: Ability to work across teams and support junior engineers Continuous Improvement: Commitment to learning and applying emerging ML techniques Desirable Skills: Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes) Experience working in secure or regulated environments Exposure to big data technologies (Spark, Hadoop) and Apache tools Familiarity with Agile and DevOps practices Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty) Knowledge of NLP, computer vision, and deep learning architectures STEM degree or equivalent experience in AI, Data Science, or related fields If you are ready to take ownership of machine learning solutions that underpin secure, high-integrity systems and services, and lead in solving customer problems in an agile, innovative, and team-centric manner, we would love to hear from you. Apply now to join our client's Cyber & Security Solutions Division team in Bristol.

Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa 75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Senior Machine Learning 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. Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ML techniques and tools Your skillset may include: ML Development Expertise: Hands-on experience building and deploying ML models Lifecycle Ownership: Ability to manage ML workflows from design to production Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration Governance & Compliance: Familiarity with secure coding and quality assurance standards Collaboration & Mentoring: Ability to work across teams and support junior engineers Continuous Improvement: Commitment to learning and applying emerging ML techniques If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further! Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa 75ph Outside 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.

Stevenage We are looking for a talented Software Engineer with a strong background in data science to join our team, working within a concept programme. The role is ideal for someone who thrives when working within a research environment, exploring new and different ways of working to prepare us for future needs! Salary: Circa £65,000 depending on experience Dynamic (hybrid) working: typically, 4 to 5 days per week on-site due, to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship . Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . The opportunity: You will play a key role, with responsibilities in areas of: Design and development of scalable software systems/solutions with integrated data science capabilities. Creating and maintain database schemas and data models Maintain and enhance existing architectural components such as Data Ingest and Data Stores. Troubleshooting and diagnosing issues within integrated (enriched) data systems. Work with complex dataset to extract insights that supports drive decisions/solutions Translate experimental ideas into production-ready solutions Monitor system performance and implement updates to maintain optimal operation. Continuously evaluate emerging technologies, engaging wider to incorporate them into our development strategies What we're looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning mindset Strong problem-solving skills and research-oriented mindset Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Systems Administrator / Linux Infrastructure Engineer to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You ll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Systems Administrator / Linux Infrastructure Engineer will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Systems Administrator / Linux Infrastructure Engineer and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability.

Capacity Planning Data Scientist Location: Middlesex (3 days onsite, 2 days from home) Salary: Negotiable depending on experience Job Ref: J13078 A market leading global logistics organisation is seeking a highly motivated Airline Capacity Planning Data Scientist who wants to apply their work in a real, high impact environment. Your work will directly influence how capacity is planned, optimised, and delivered within a complex, high volume operational setting. This role sits at the intersection of data science and operations research, with a strong focus on simulation, modelling, and real world system optimisation. You will work with large scale datasets to build machine learning models and develop advanced simulation tools that support critical planning decisions. The role: Design and build machine learning models to forecast demand, utilisation and system performance Work with large scale, time series datasets to engineer features and improve model accuracy Apply robust validation, tuning and model selection techniques to deliver reliable outputs Build and calibrate discrete event simulation (DES) models of complex operational systems to stress test capacity under different demand scenarios Carry out scenario analysis and what if modelling to support planning and investment decisions Translate complex analytical outputs into clear, actionable insights for operational stakeholders Develop tools and dashboards to monitor system performance and support decision making Work closely with operational teams to ensure models reflect real world constraints and behaviours Experience required: Master's degree (or equivalent) in Data Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative discipline Strong experience in a Data Scientist or Operational Research focused role working with large, complex datasets Solid understanding of machine learning techniques such as gradient boosting, random forests and time series modelling Experience building and deploying models used in real world decision making (e.g. ensemble methods, regularised regression) Advanced proficiency in R, including tidyverse, data.table, caret or tidymodels, xgboost and Shiny Strong SQL skills with experience querying large scale relational databases such as Azure SQL or PostgreSQL Experience working with high volume or time based data, including feature engineering Experience with simulation, discrete event simulation, or operations research techniques is highly desirable Ability to communicate complex analysis clearly to non-technical stakeholders Comfortable working in fast paced, operational environments Proactive, hands on approach with the ability to take ownership of problems end to end If you want to work on complex systems where your output is actually used and matters, this is a genuinely strong opportunity to do that. Please note we can only accept applications from those with current and full UK working rights for this role, as sponsorship is not available. If this sounds like the role for you then please apply today. Alternatively, you can refer a friend or colleague through our referral scheme. For each successful placement, you will be eligible for our reward scheme with no limit on referrals. Datatech is one of the UK's leading recruitment agencies in analytics and the host of the Women in Data event. For more information, visit (url removed)

Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent  Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist , you will play a pivotal role at the heart of this transformation – leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.  This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the role    As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. You will: Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities include:   Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition.  About You    To be successful in this role, you will bring: Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands-on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self-service analytics Proven ability to translate business or research questions into data-driven insights Experience communicating complex technical concepts to non-technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following  desirable  criteria:  Machine learning or AI product experience Exposure to automarking, assessment, or high-stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's  Offer of an Interview  commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the  gov.uk  website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits     We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible  rewards package , featuring family-friendly and planet-friendly benefits including:  28 days annual leave plus bank holidays  Private medical and Permanent Health Insurance   Discretionary annual bonus   Group personal pension scheme  Life assurance up to 4 x annual salary   Green travel schemes   Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be  13   March 2026.   We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. As part of the application process, you can expect:   At application stage: four technical questions to answer when submitting your CV. Stage 1 : 30-minute screening call with the hiring manager. Stage 2 : 60-minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3 : 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed. Stage 4 : Leadership and cultural 45-minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.  Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.  Why join us   Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.  We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

Job title: Senior Machine Learning Research Engineer Salary: £64,490 - £86,255 Location: Cambridge - Triangle/Hybrid (2 days per week in the office)  Contract: Permanent Hours: Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services.  About the Role  As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.  Key Responsibilities:  Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development.  Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.  Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery. Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations. Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven.  Mentor junior team members.  About You  To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions.  Essential Qualifications & Skills :  Master's degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component. Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments.  Strong track record of successfully translating academic research into real-world applications and products.  Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery  Deep experience in Python and PyTorch/TensorFlow.  Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS).  Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.  Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions.  Proactiveness in communicating issues and suggesting solutions.  Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems.  Ability to supervise a sub-team and mentor junior colleagues (can be developed on-the-job).  Desirable:  PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field.  Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems.  Experience in applying machine learning to educational assessment and learning solutions  Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields.  Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible  rewards package , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now.  We review applications on an ongoing basis, with a closing date for all applications being 29 March 2026  although we may close it earlier if suitable candidates are identified. We'll set up interviews on a first-come, first-served basis. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the  gov.uk  website for guidance to understand your own eligibility based on the role you are applying for. Why join us Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration.  Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it's safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

Job Title:   Product Lead - Test Security Salary:    £70,000 - £93,700 Location:   Cambridge, UK - Hybrid (2 days per week in the office) Contract:   Permanent Hours:   Full time 35 hours per week Deliver security‑focused product innovation that protects the integrity and global impact of the world's most trusted English test. We are Cambridge University Press & Assessment, a world‑leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. We're looking for a strategic and impact‑driven   Product Lead – Test Security   to join our team. This is a rare opportunity to shape how we safeguard fairness and trust for millions of learners worldwide—while working at the forefront of emerging technologies, human behaviour, and global security threats.   About the role    As our Product Lead for Test Security, you will be accountable for setting and delivering the product strategy for how we detect, deter and prevent test malpractice within our assessment products. You will build the roadmap for critical security capabilities—ranging from AI‑enabled fraud detection and enhancements to response analytics—ensuring solutions are scalable, ethical, and aligned with the organisation's mission to protect the integrity of our tests. You'll work closely with colleagues across test security, engineering, data science, research, psychometrics, operations, legal and compliance to deliver high‑impact features that balance robust protection with excellent user experience. Additional responsibilities and accountabilities include: Translating emerging threats and business needs into clear, prioritised product requirements. Leading product discovery to validate the impact and feasibility of solutions.  Partnering with technical teams to deliver secure, resilient and high‑performing features such as anomaly detection models and identity verification workflows. Defining and tracking product success metrics, including security efficacy, false‑positive rates and user impact. Staying ahead of industry trends, fraud behaviours and evolving risks in the assessment and broader trust & safety landscape. Ensuring solutions comply with regulatory expectations and uphold fairness, transparency and responsible innovation principles. This position is hybrid, requiring 40–60% of your time on-site in Cambridge for collaboration and face‑to‑face connection. Flexible working requests will be considered from day one, including adjustments for candidates with disabilities or long‑term health conditions.     About You    You will bring strong experience in product management or an adjacent field (e.g., trust & safety, risk technology, security platforms) and can demonstrate: Proven success delivering complex, cross‑functional products or systems. Ability to navigate ambiguity, make informed trade-offs and drive strategic clarity. Confidence engaging with data, analytics, and emerging technologies such as machine learning or behavioural analytics. Strong communication skills, capable of influencing senior stakeholders and translating complexity into clear direction. Experience working in high‑integrity or compliance‑sensitive environments (e.g., assessments, fintech, security, identity, edtech) is highly advantageous. If you meet the above minimum criteria, we encourage you to apply. Your application will be even stronger if you can also demonstrate: Experience working in global or culturally diverse environments. A background in test security, fraud detection, identity verification or misuse prevention. Familiarity with psychometrics or assessment processes. Understanding of ethical AI, risk frameworks or responsible innovation principles. For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's  Offer of an Interview  commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the  gov.uk  website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits     We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible  rewards package , featuring family-friendly and planet-friendly benefits including:  28 days annual leave plus bank holidays  Private medical and Permanent Health Insurance   Discretionary annual bonus   Group personal pension scheme  Life assurance up to 4 x annual salary   Green travel schemes   Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be  5 February 2026.  We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place from  12 – 18 February 2026 . If you are shortlisted and progressed through the stages, you can expect:  Virtual interview via MS Teams. You will be provided with a brief to complete a role related task which will need to be returned by email in advance of your interview.  Potentially a final stage interview: in-person at our offices in Cambridge. If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.   Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.  Why join us   Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.    We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

Contract Role - Acoustic Hardware Engineer - Cambridge/Onsite - 12 months - Inside IR35 PAYE We are seeking a skilled Acoustic Hardware Engineer to conduct acoustic measurements, acoustic data processing, and auditory perception experiments, and develop relevant methods and tools leveraging scientific coding skills and expertise in audio signal processing, audio hardware systems and acoustics. Most work will be based in our amazing new audio lab featuring anechoic chambers, one of the world's largest configurable acoustic rooms and many other types of space. Role Overview: * Job Title: Acoustic Hardware Engineer * Location: Cambridge/Onsite * Contract Type: Contract * Duration: 12 months * Rate: £40-45 per hour PAYE * 5-7 years, no cap. - PhD research work will count as experience. * Master's degree in a relevant technical field with 3+ years of industry experience in audio technology development, or equivalent combination of education and experience * Proven experience designing and conducting audio/acoustic experiments in controlled lab environments. * Strong understanding and hands-on experience in processing and analysing audio signals. * Python, MATLAB Minimum Requirements * Master's degree in a relevant technical field with 3+ years of industry experience in audio technology development, or equivalent combination of education and experience * 3+ years experience in designing and performing audio acoustic experiments in controlled laboratory settings. * 3+ years of programming experience in Python, MATLAB, or MaxMSP for audio applications * Strong understanding and experience in acoustics and audio signal processing Preferred Qualifications * Expertise in Real Time audio coding in C/C++ * Expertise in any/all of psychoacoustics, auditory perception, spatial audio, room acoustics, and physical acoustics * Experience using PyTorch or other machine learning frameworks * Experience with prototype hardware devices * Experience with motion tracking systems * Experience with large-scale automated data collection and analysis * Experience designing and setting up acoustic laboratory spaces * Experience working in cross-functional, inter-disciplinary environments * Demonstrated ability to produce high-quality technical reports and/or publications Please feel free to contact myself - Daisy Nguyen at Gibbs Consulting/Atrium UK for a confidential chat to know more details about the role. Please also note: Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project. Required Skills, Knowledge and Expertise You will have relevant academic (research Masters level) and/or industry experience. Excellent knowledge and experience of managing an on-premise Kubenetes cluster. Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to work with human motion, sport, animation tools and techniques. Familiarity with C++.

Role Title: Lead Data Engineer Location: Glasgow Duration: 31/12/2026 Work Setup: 2-3 days onsite Rate: 400 per day - PAYE via Umbrella Only Role Description: Join us as a Lead Data Engineer. This role will focus on building pipelines for accounts, event streaming in real time. Your role will be to lead one our teams, setting standards, reviewing code, and reviewing what our colleagues build. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

Are you a hands-on engineer ready to bring AI to life on the factory floor? I'm working with a leading UK-based automation provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings. This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection tasks with smart, real-time image analysis. Why This Role Stands Out Innovative Technology: Be at the forefront of deploying next-gen AI vision systems in the food industry. Real-World Impact: Your work directly improves quality, reduces waste, and enhances food safety and traceability. Project Ownership: Take the lead on deployments while working alongside a highly experienced engineering team. What You'll Be Doing Designing and implementing machine vision inspection systems using AI/ML tools. Running trials and developing proof-of-concepts to validate deep learning models in real environments. Programming and configuring PLCs and SCADA systems. Installing, commissioning, and supporting automation systems on customer sites. Documenting solutions-creating clear functional design specs and support manuals. Acting as the technical lead during deployments and customer troubleshooting Supporting the wider automation team in delivering integrated project solutions. Conducting feasibility studies for customer-specific machine vision challenges. What We're Looking For Experience in machine vision, automation, or similar engineering roles. Hands-on experience deploying machine vision or image analysis systems in industrial or research environments. Comfortable working with AI/ML platforms or deep learning-based vision tools. Strong troubleshooting and problem-solving skills in production environments. Excellent communication skills and ability to liaise with operators and engineers. Full UK driving licence and willingness to travel extensively (50%+ UK-wide). What's on Offer Company vehicle Flexible working arrangements 25 days holiday plus public holidays (option to buy/sell up to 5 days) Company pension scheme Death in service benefit Ongoing professional development (fees covered) Access to Smart Health: 24/7 GP, mental health support, and wellbeing services INDOTHER

Lead Java Developer Oxford - £120kJava, Springboot, Rest APIs, Microservices, TDD, DevOps, CI/CDI have started working with a global organization that helps scientists make sense of complex data and push the boundaries of discovery. Their tools are used by researchers working on everything from new medicines to sustainable materials, and they're proud to play a quiet but vital role in how science moves forward!Java Engineers here build the platforms that make this possible. Whether it's designing fast, reliable search systems for chemical data, improving the accuracy of machine learning models, or creating clean, intuitive interfaces for researchers, the work is deeply technical and genuinely meaningful. You won't be building throwaway features, you'll be solving real problems that help real people.It's currently an international team of 10 engineers, whilst the main aim is to grow out the Oxford function with experienced Senior / Lead Java engineers, currently. Tech stack includes : Java, Springboot, Microservices, Python, AWS, CI/CD, AWS, REST apis, TDD, Kafka and agile.Salary in the range of £100k - £120k, based in Oxford (hybrid), 8% pension, health and dental insurance, 25 days holiday and two stage interview process.Interested in learning more? Or know someone who might be interested in this role?Please steer them my way - or add me on Linkedin - Rebeka to have an informal chat.Please note, we cannot sponsor for these roles.