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Are you ready to take your career to the next level and be part of a pioneering team at the forefront of engineering innovation? This is your chance to join a company that is revolutionising industries such as aerospace, premium automotive, sport, and lifestyle. As a Control Systems Test & Validation Engineer, you'll have the opportunity to provide testing respurce work on groundbreaking projects, using cutting-edge technologies and methodologies inspired by motorsport and Formula 1. With a collaborative and dynamic work environment, this company offers a unique platform to showcase your skills and creativity, while making a global impact. What You Will Do: • Develop and maintain Verification & Validation plans for battery control software and hardware., • Own and manage requirements related to certification, including compliance with standards like REG.100 and UN38.3., • Set up and manage Model-in-the-Loop (MiL), Software-in-the-Loop (SiL), and Hardware-in-the-Loop (HiL) test environments., • Design, build, and maintain test benches and procedures for automated and manual testing., • Execute integration testing of supervisory controllers, Battery Management Systems (BMS), and Cell Monitoring Units (CMUs)., • Analyse test results, identify issues, and drive resolution through root cause analysis and collaboration. What You Will Bring: • A degree in Electrical, Computer Science, Control Engineering, or a related field., • Proven experience in developing and operating MiL/SiL/HiL testing environments., • Strong understanding of battery control systems, including supervisory logic, BMS, and CMUs., • Excellent documentation skills to support software deployment, production release, and certification processes., • Ability to work autonomously and effectively in a fast-paced, dynamic environment. This role is critical to ensuring the performance, safety, and compliance of control systems that power some of the most advanced technologies in the world. By joining this company, you'll contribute to delivering innovative engineering solutions that tackle complex challenges with agility and precision. Location: The role is based in Didcot atleast 3 days a week, at the company's core engineering and development hub, offering state-of-the-art facilities and is commutable from Abingdon, Didcot, Oxford and Newbury Interested?: If you're excited about the opportunity to become a Control Systems Test & Validation Engineer and make a real difference, don't wait! Apply now to take the first step towards an incredible career journey. 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.

Your new roleAs a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine-learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables critical to scaling production across a growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance.Key responsibilities include: • Developing and maintaining statistical and ML models to analyse machine and material performance data, • Building and refining data pipelines to post-process experimental and operational data, • Collecting experimental data and owning frameworks that track performance over time, • Collaborating with testing engineers to design robust experiments and ensure high-quality training data, • Working with software engineers to embed modelling outputs into internal tools and platforms, • A degree in Mathematics, Physics, Engineering, Computer Science, Data Science or a related STEM discipline (or equivalent experience), • Strong programming skills, particularly in Python, • Excellent problem-solving and analytical thinking, • High attention to detail with the ability to manage work independently, • Industry or postgraduate experience in machine learning and/or statistical modelling, • Probabilistic programming and time-series forecasting, • Experience within additive manufacturing, particularly Laser Powder Bed Fusion, • Investigating and reducing variation in production or manufacturing environments Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

My well established Client is seeking a skilled and enthusiastic IT Support Engineer (1st/2nd Line) to join their IT support team. The ideal candidate will have experience in a Microsoft environment, including proficiency in MS Office 365, IP networking, and Windows operating systems. This role is perfect for a dedicated IT professional with a computer or IT support qualification, who is eager to provide high-quality technical support and resolve a variety of IT issues. Responsibilities: Provide 1st and 2nd line technical support to end-users via phone, email, and in-person. Troubleshoot and resolve issues related to MS Office 365, IP networking, and Windows operating systems. Install, configure, and maintain hardware and software applications. Assist with the setup and maintenance of user accounts and permissions. Monitor and manage IT support tickets, ensuring timely resolution and excellent customer service. Conduct regular system updates and patches to ensure optimal performance and security. Provide technical guidance and support to end-users, helping them navigate IT systems and applications. Document support activities, solutions, and processes in the ticketing system. Collaborate with other IT team members to ensure seamless support and knowledge sharing. Stay updated on the latest industry trends and technologies to continuously improve support services. Requirements: A qualification in Computer Science, Information Technology, or a related field, or equivalent work experience. Proven experience in a 1st/2nd line IT support role. Strong knowledge of MS Office 365, IP networking, and Windows operating systems. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills, with the ability to provide clear and concise technical support. Ability to manage multiple tasks and priorities in a fast-paced environment. Customer-focused attitude with a commitment to delivering high-quality support. Relevant certifications such as CompTIA A+, Microsoft Certified: Modern Desktop Administrator, or equivalent are a plus. Please send an up to date CV for an immediate response and more information on a great role with a fantastic Client.

Do you want to work on complex technical challenges alongside exceptional engineers? Are you looking for a role where your intelligence, curiosity, and coding ability will be stretched from day one? Our client is looking for an outstanding Software Engineer to join a fast-moving, technology-led team. This is a superb opportunity for a high-achieving graduate with strong academic credentials and excellent C++ and/or Python skills who wants to work on meaningful systems, large datasets, and real-world engineering problems. Why this role stands out You will: • Build business-critical software in C++ and Python, • Work with large, complex datasets and research-driven problems, • Apply strong problem-solving and statistical thinking, • Contribute to systems including data platforms, monitoring, reporting, and tracking tools, • Join a bright, collaborative team where learning and high standards matter About you You are likely to be: • First-class or equivalent degree in Computer Science, Maths, Physics, Engineering, or similar, • Studying or qualified in Computer Science, Maths, Physics, Engineering, Statistics, or a similar technical subject, • A strong coder with excellent C++ skills and ideally Python experience, • Intellectually sharp, detail-focused, and excited by hard problems, • Someone who communicates well, learns quickly, and enjoys being challenged Useful additional exposure Any experience with the following would be beneficial: • Statistical inference and research using large datasets, • Linux, bash, and version control, • SQL and Pandas, • Networking, low-latency systems, or distributed platforms What’s on offer • Generous bonus, • Private healthcare, • Pension, • Life assurance, • Long-term disability cover, • A genuinely stimulating environment with strong mentoring and learning opportunities Apply now If you are a high-calibre graduate looking for a role that will challenge and accelerate your career, we would love to hear from you.

An opportunity to join one of the UK's most innovative DeepTech Medical Imaging start-ups. This company is developing a new generation of low-dose 3D radiography systems that will significantly improve the accessibility and cost of advanced medical imaging. The team are looking for a Product Cyber Security Engineer to support the security of next-generation imaging systems as they move from R&D into commercial deployment. Working with engineering and DevOps teams, you will help embed cybersecurity into the product lifecycle and support the organisation’s overall security posture. Technology areas: DevSecOps | Cloud Security | Embedded Systems | Cybersecurity Why Join? • Work on cybersecurity for next-generation medical imaging systems, • Join a fast-growing DeepTech medical device start-up, • Highly varied role across Cloud, Embedded Systems, Infrastructure, Integrations and more Job title: Product Cyber Security Engineer Location: Oxford (Hybrid – 2–3 days onsite) Salary: Competitive + extensive benefits package including pension, flexible benefits allowance, enhanced parental leave and 33 days holiday. About the Role • Lead product cybersecurity lifecycle activities for 3D imaging systems, • Manage vulnerability monitoring, triage and risk management, • Support compliance with standards such as IEC 81001-5-1Drive continuous improvement in the secure design and development of our products across different verticals including medical and veterinary imaging, and non-destructive testing, • Identify and implement process improvements to reduce friction and maintain compliance, • As part of the DevOps team, contribute to the selection and integration of appropriate security tools and workflows to embed security at the heart of the development process, • Maintain an up-to-date knowledge of relevant cyber threats, trends and publicly disclosed vulnerabilities, acting as a subject matter expert, • Advise and collaborate with stakeholders across the business on maintaining secure business systems, • Contribute to production support and incident response activities as required, • Maintain up-to-date product security documentation Desired Qualifications and Experience • Degree in cybersecurity, computer science, engineering or related discipline, or equivalent experience, • Experience in cybersecurity, product security or DevSecOps, • Experience working with engineering teams to integrate security into development, • Experience in regulated or process-driven environments is advantageous Skills • Strong analytical and problem-solving skills, • Ability to communicate technical concepts clearly, • Collaborative approach to working with multidisciplinary teams, • Knowledge of cloud platforms, Windows or embedded systems beneficial Please apply with an updated CV and we will contact you with further information.

Your new role As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine‑learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables critical to scaling production across a growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance. Key responsibilities include: • Developing and maintaining statistical and ML models to analyse machine and material performance data, • Building and refining data pipelines to post‑process experimental and operational data, • Collecting experimental data and owning frameworks that track performance over time, • Collaborating with testing engineers to design robust experiments and ensure high‑quality training data, • Working with software engineers to embed modelling outputs into internal tools and platforms, • Communicating insights clearly to ensure your work delivers tangible value across the business This role is based at a dedicated R&D facility and offers exposure to real‑world, high‑impact engineering challenges. What you'll need to succeed You'll have a strong analytical background and enjoy applying data, statistics and modelling techniques to complex physical systems. You'll be comfortable working across disciplines and translating technical insight into practical outcomes.Essential experience includes: • A degree in Mathematics, Physics, Engineering, Computer Science, Data Science or a related STEM discipline (or equivalent experience), • Strong programming skills, particularly in Python, • Excellent problem‑solving and analytical thinking, • High attention to detail with the ability to manage work independently, • Strong communication skills and confidence working in cross‑functional teams Desirable experience includes: • Industry or postgraduate experience in machine learning and/or statistical modelling, • Probabilistic programming and time‑series forecasting, • Experience within additive manufacturing, particularly Laser Powder Bed Fusion, • Investigating and reducing variation in production or manufacturing environments, • Interest in high‑performance applications such as aerospace, precision engineering or advanced electronics What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

An opportunity to join one of the UK's most innovative DeepTech Medical Imaging start-ups. This company is developing a new generation of low-dose 3D radiography systems that will significantly improve the accessibility and cost of advanced medical imaging. The team are looking for a Product Cyber Security Engineer to support the security of next-generation imaging systems as they move from R&D into commercial deployment. Working with engineering and DevOps teams, you will help embed cybersecurity into the product lifecycle and support the organisation’s overall security posture. Technology areas: DevSecOps | Cloud Security | Embedded Systems | Cybersecurity Why Join? • Work on cybersecurity for next-generation medical imaging systems, • Join a fast-growing DeepTech medical device start-up, • Highly varied role across Cloud, Embedded Systems, Infrastructure, Integrations and more Job title: Product Cyber Security Engineer Location: Oxford (Hybrid – 2–3 days onsite) Salary: Competitive + extensive benefits package including pension, flexible benefits allowance, enhanced parental leave and 33 days holiday. About the Role • Lead product cybersecurity lifecycle activities for 3D imaging systems, • Manage vulnerability monitoring, triage and risk management, • Support compliance with standards such as IEC 81001-5-1Drive continuous improvement in the secure design and development of our products across different verticals including medical and veterinary imaging, and non-destructive testing, • Identify and implement process improvements to reduce friction and maintain compliance, • As part of the DevOps team, contribute to the selection and integration of appropriate security tools and workflows to embed security at the heart of the development process, • Maintain an up-to-date knowledge of relevant cyber threats, trends and publicly disclosed vulnerabilities, acting as a subject matter expert, • Advise and collaborate with stakeholders across the business on maintaining secure business systems, • Contribute to production support and incident response activities as required, • Maintain up-to-date product security documentation Desired Qualifications and Experience • Degree in cybersecurity, computer science, engineering or related discipline, or equivalent experience, • Experience in cybersecurity, product security or DevSecOps, • Experience working with engineering teams to integrate security into development, • Experience in regulated or process-driven environments is advantageous Skills • Strong analytical and problem-solving skills, • Ability to communicate technical concepts clearly, • Collaborative approach to working with multidisciplinary teams, • Knowledge of cloud platforms, Windows or embedded systems beneficial Please apply with an updated CV and we will contact you with further information.

Embedded Software & Hardware Q&A TEST ENGINEER Location: Oxfordshire, UK site (3 days in office - Hybrid) Compensation: DOE (£50-60k) Employment Type: Permanent – Full Time Department: Engineering (Reporting to CTO) PLEASE NOTE: this role requires a combination of Software and Hardware experience, with a background in embedded systems for physical electronic products in sectors like aerospace, defence, automotive. (If you are a Q&A tester for tech apps used in sectors like banking or finance, this would likely not be a fit for you.) Our client working in the Autonomous space, building the Trust Layer for Physical AI and Autonomous Systems. The next generation of safety-tech that will unlock the true benefits of AI. The current project is working on these systems for Drone and UAV tech. Working Culture Our client is a fast-growing start-up with ambitious goals and the culture reflects that. building something meaningful, they’re looking for people who are genuinely energised by that journey. You’ll thrive if you enjoy taking ownership, wearing multiple hats, learning quickly and are comfortable working beyond core hours when the work demands it - not because it’s expected day-to-day, but because seeing progress matters. The team is driven by the satisfaction of building, solving hard problems and moving fast together, embracing collaboration and change as part of start-up life. They are looking for people who want to be part of something being built from the ground up, who enjoy the momentum and responsibility that comes with it and who bring commitment, curiosity and teamwork to everything they do. The Role Looking for an exceptional QA Test Engineer to join our team building cutting-edge Runtime Assurance systems for AI and robotics applications. You will play a vital role in developing the safety-critical embedded software components that ensure the safe and reliable operation of solutions. Our client offers a competitive compensation package, benefits, and the chance to work on cutting-edge technologies like UAV and Drone tech that will help shape the future of AI and robotics safety in these fields. Responsibilities • Lead the design, development, and implementation of embedded software for the business, Runtime Assurance platform across various hardware architectures and real-time operating systems., • Ensure compliance with industry standards, regulations, and best practices for safety-critical software development, such as DO-178C, ISO 26262, and IEC 61508., • Build configuration and pipeline management, • Software-in-the-Loop and Hardware-in-the-Loop including automated deployment across multiple platforms., • Integration of different performance testing techniques across multiple types of simulation (gazebo sim, rosbag)., • Collaborate with cross-functional teams, including hardware engineers, systems architects, and AI/ML experts, to integrate embedded software components seamlessly into the overall system., • Participate in code reviews, performance optimisations, and thorough testing (unit, integration, and system-level) to maintain the highest quality standards., • Contribute to the continuous improvement of the team's software development processes, tooling, and methodologies. Key Skills and Experience • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience, with a strong focus on embedded systems QA, and software development and/or testing., • Experience with one or more CICD pipeline services (Jenkins, CloudBuild, AWS CodePipeline, etc), • Experience with infrastructure/Automation techniques (bash, python), • Knowledge of source control (git), • Experience with at least one test framework (pytest, gtest), • Hands-on experience in embedded software testing and QA, with a proven track record in delivering safety-critical systems., • Solid understanding of software development methodologies, such as Agile, Continuous Integration, and Test-Driven Development., • Develop, implement, and execute test strategies and verification activities for safety-critical software., • Perform static and dynamic code analysis using industry tools (e.g., Rapita RVS, LDRA, VectorCAST, Polyspace)., • Support compliance with safety standards (e.g., DO-178C, ISO 26262, IEC 61508, DEF STAN 00-55) through rigorous testing and documentation., • Define and maintain test cases, procedures, and automation frameworks to ensure consistency and repeatability., • Collaborate closely with software engineers, systems engineers, and safety teams to ensure test coverage against requirements., • Lead defect reporting, tracking, and resolution through structured QA processes., • Contribute to continuous improvement of verification and validation processes, tools, and best practices., • Prepare and present test results, coverage metrics, and assurance evidence for internal and external reviews., • Strong problem-solving, analytical, and debugging skills., • Excellent communication and collaboration abilities, with the ability to work effectively in cross-functional teams. Benefits • Salary sacrifice pension with a 5% matched company contribution., • Generous Holiday allowance, • EV Car Scheme., • Cycle to Work Scheme., • More exciting benefits to come as they grow. About the client Their software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI or novel control methods, in any application, for the first time. They do this with no need for data or communications links, and begin the journey by applying their tech to autonomous systems in the aerospace and land domains. Their products are future-focused, compliance-ready & built for safety-critical environments.

Who are we? Founded in 2014, Oxa is a global leader in autonomous vehicle (AV) technology, dedicated to accelerating Industrial Mobile Autonomy (IMA). We develop advanced physical AI and robotics technology, anchored around our configurable and explainable self-driving software, Oxa Driver; development toolchain, Oxa Foundry; and fleet management software, Oxa Hub. We utilise hardware blueprints known as Reference Autonomy Designs (RADs) to enable the integration of sensors, compute and drive-by-wire systems into existing vehicles produced by OEMs. Our solutions automate repetitive industrial driving tasks, such as the towing and carrying of goods in locations like ports, airports and manufacturing facilities, or asset and perimeter monitoring in environments such as solar farms or industrial plants. We’re helping global businesses to address critical challenges like labour shortages and rising operational costs - driving efficiency, productivity, and safety. Based in Oxford, and with offices in Canada, our engineering team is drawn from the world’s top physical AI specialists and led by originators of the field. Your Role: We are hiring a Data Engineer to help build the systems that prepare, curate, and scale training and evaluation data for machine learning in autonomous driving. You will work across the full data lifecycle, from raw vehicle logs and simulation outputs to curated, labelled, and model-ready datasets. This includes handling multimodal sensor data, scaling labelling through both human and ML-based workflows, and enabling intelligent selection of high-value data from thousands of hours of real-world and simulated driving. This role sits close to model performance and safety ensuring quality, structure, and selection of data directly influence how perception and planning systems behave in the real world. What You Will Work On: You will work on systems that: • Transform raw multimodal logs (camera, LiDAR, radar) into training-ready datasets, • Support hand-labelled and auto-labelled data pipelines, including validation and quality control, • Help build and scale autolabelling systems, where ML models generate annotations across large datasets, • Support intelligent data curation and selection from thousands of hours of real-world and simulated driving, • Generate and process simulated data for perception and planning, ensuring sufficient sim-to-real fidelity for synthetic data to be useful in training and evaluation, • Manage multiple data representations, including sensor-native formats (images, point clouds), structured scene representations (objects, semantics, occupancy), and bird’s-eye view (BEV) representations for downstream models, • Support dataset generation for perception models (for example detection, segmentation, and occupancy) and planning models (behavioural learning) Key Responsibilities: • Design, build, and maintain scalable data pipelines from raw logs to training datasets, • Contribute to systems for dataset generation, versioning, and reproducibility, • Develop and operate autolabelling pipelines, integrating model outputs into labelling workflows, • Implement quality control mechanisms for both human and ML-generated labels, • Support ML-assisted data curation workflows to identify high-value or failure-prone scenarios, • Build pipelines to generate, transform, and validate simulated datasets, helping identify and reduce sim-to-real mismatches to improve their usefulness for training and evaluation, • Work closely with ML engineers to translate model requirements into data pipelines and datasets, • Debug data issues across the stack, from sensor-level artefacts to dataset inconsistencies, • Improve storage, compute, and throughput efficiency for large-scale datasets What You Need to Succeed: • Strong software engineering skills, with Python as a primary language, • Strong SQL skills and experience working with analytical data warehouses (e.g. BigQuery, Snowflake), • Experience building production-grade data pipelines or distributed data systems, • Experience working with large-scale datasets, • Familiarity with cloud infrastructure (e.g. GCP, AWS, or similar), • Solid understanding of data modelling, transformation, and data quality considerations Extra Kudos If You Have: • Experience working with ML data pipelines or supporting ML systems, • Familiarity with computer vision, robotics, or autonomous systems, • Experience working with multimodal sensor data, such as images, LiDAR, or radar, • Exposure to labelling workflows, autolabelling, or dataset curation, • Experience with spatial or geospatial data, • Familiarity with Linux-based development environments, • Experience with tools such as Docker, shell scripting, workflow orchestrators, and transformation frameworks (e.g. Hera Workflows, dbt) Benefits: • Competitive salary, benchmarked against the market and reviewed annually, • Company share programme, • Hybrid and/or flexible remote working arrangements, • Core benefits of market leading private healthcare, life assurance, critical illness cover, income protection, alongside a company paid health cash plan (including gym discounts), • A salary exchange pension plan, • 25 days’ annual leave plus bank holidays, • A pet-friendly office environment, • Safe assigned spaces for team members with individual and diverse needs Our Culture: We are on a mission to unlock the benefits of self-driving technology to every person and organisation on the planet. We are creating an environment where everyone, from any background, can do their best work which, put simply, is the right thing to do. We hire and nurture those we can learn from, valuing diversity and the innovation that this drives. We promote an open and inclusive culture that empowers our Oxbots to bring their whole, authentic selves to work every day. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. Our diverse, multi-cultural crew is guided by a shared vision to bring the myriad benefits of autonomy to our customers and partners. And in a company that celebrates uniqueness as much as skill and experience, we do it with energy, conviction and a healthy dose of excitement, too. If you are bold, creative and hyper skilled, come and create the future of autonomy with us at Oxa.

QA & Test Engineer – Runtime Assurance Systems Location: Oxford 2-3 days / week (on-site at HQ) Employment Type: Permanent – Full Time About the company The company is a fast‑growing start‑up building the Trust Layer for physical AI and autonomous systems – next‑generation safety‑tech designed to unlock the true benefits of AI for humanity. Its software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI‑driven control methods in safety‑critical environments, initially focused on aerospace and land domains. The organisation’s products are future‑focused, compliance‑ready and built from the ground up for safety‑critical applications. It aims to be a global leader in novel control assurance, pioneering trusted and ethical autonomy for humanity. Working culture The company is a fast‑growing start‑up with ambitious goals, and its culture reflects that. The team is motivated by building meaningful technology, solving hard problems and moving quickly together, embracing collaboration and change as part of start‑up life. Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it – not because it is expected every day, but because seeing progress matters. The organisation looks for people who want to be part of something being built from the ground up and who bring commitment, curiosity and teamwork to everything they do. The role The business is seeking an exceptional QA & Test Engineer to join the engineering team building cutting‑edge runtime assurance systems for AI and robotics applications. The role holder will play a vital part in developing and assuring safety‑critical embedded software components that underpin the safe and reliable operation of the company’s solutions. Reporting to the CTO, the QA & Test Engineer will lead the design, development and execution of test and verification activities for the runtime assurance platform across multiple hardware architectures and real‑time operating systems. The position combines hands‑on technical work with significant influence over QA processes, tooling and continuous improvement. Key responsibilities • Lead the design, development and implementation of embedded software for the runtime assurance platform across various hardware architectures and real‑time operating systems., • Ensure compliance with industry standards, regulations and best practices for safety‑critical software development, such as DO‑178C, ISO 26262 and IEC 61508., • Manage build configuration and CI/CD pipelines, using services such as Jenkins, CloudBuild or AWS CodePipeline., • Develop and maintain Software‑in‑the‑Loop and Hardware‑in‑the‑Loop test environments, including automated deployment across multiple platforms., • Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‑based workflows)., • Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system., • Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system level) to maintain high quality standards., • Develop, implement and execute test strategies and verification activities for safety‑critical software, including static and dynamic code analysis using tools such as Rapita RVS, LDRA, VectorCAST or Polyspace., • Define and maintain test cases, procedures and automation frameworks to ensure consistency and repeatability., • Support compliance with safety standards (e.g. DO‑178C, ISO 26262, IEC 61508, DEF STAN 00‑55) through rigorous testing and documentation., • Lead defect reporting, tracking and resolution through structured QA processes, and prepare and present test results, coverage metrics and assurance evidence for internal and external reviews., • Contribute to continuous improvement of verification and validation processes, tools and best practices. Candidate profile • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering or a related field, or equivalent experience, with a strong focus on embedded systems QA and software development and/or testing., • Hands‑on experience in embedded software testing and QA, with a proven track record in delivering safety‑critical systems., • Solid understanding of software development methodologies such as Agile, Continuous Integration and Test‑Driven Development., • Experience with one or more CI/CD pipeline services (e.g. Jenkins, CloudBuild, AWS CodePipeline)., • Experience with infrastructure and automation techniques (e.g. bash, Python) and source control tools such as Git., • Experience with at least one automated test framework (e.g. pytest, GoogleTest/gtest)., • Experience developing and executing test strategies and verification activities for safety‑critical software, including static and dynamic analysis., • Strong problem‑solving, analytical and debugging skills., • Excellent communication and collaboration abilities, with the ability to work effectively in cross‑functional teams. Rewards and benefits • Competitive compensation package, dependent on experience., • Salary sacrifice pension scheme with a 5% matched company contribution., • Generous holiday allowance., • EV car scheme and cycle‑to‑work scheme., • Additional benefits to be introduced as the company grows. Candidates will have the opportunity to join a team that is enabling a future in which AI is not only intelligent but also assured, safe and trustworthy.

Senior Computer Vision / Applied ML Engineer Oxfordshire - Onsite £150k+ with Significant Equity An early-stage technology company is hiring a Senior Computer Vision / Applied ML Engineer to help build next-generation perception systems. This is a high-impact opportunity within a small, high-calibre team, where you’ll work across both geometric computer vision and machine learning, contributing to the core development of advanced vision pipelines and helping translate research into robust, real-world systems. You’ll be involved in a mix of vision algorithm development, model training, and system optimisation, with a focus on improving performance, robustness, and scalability across real-world environments. What you’ll be doing: • Developing and improving core computer vision pipelines (e.g. geometry, spatial understanding, depth-related problems), • Building and running ML experiments, including training, benchmarking, and evaluation, • Working with complex datasets to prepare, curate, and optimise model performance, • Supporting inference and deployment pipelines, including optimisation for real-world use, • Contributing to reproducible workflows, ensuring research outputs translate into reliable engineering systems, • Evaluating system performance across accuracy, speed, and robustness metrics What they’re looking for: • Strong background in computer vision and/or machine learning with solid theoretical foundations, • PhD strongly preferred (Computer Vision, Machine Learning, Robotics, Mathematics, Physics, or similar), • Track record of academic excellence, ideally from a top-tier university, • Additional postdoctoral or research experience is highly valued, • Evidence of rigorous thinking through publications, research, or complex technical work, • Experience with vision systems, ML pipelines, or real-world model deployment, • Comfortable working in a hands-on, high-ownership environment Why consider it: • Early-stage company with strong growth potential, • High level of ownership and technical influence, • Opportunity to work on challenging, real-world vision + ML problems, • Collaborative, high-performing team If this is a role that's interesting to you, then apply now or reach out to Oscar Harper at IC Resources.

Senior Applied Machine Learning / Computer Vision Engineer Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning / Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system. This is an opportunity to build real-world AI systems from first principles, combining research-level work with deployment and impact, with freedom to explore and contribute to publishable work. Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months. Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Working closely with the AI Lead and CTO, you will take ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems. The Senior ML/CV Engineer role combines hands-on engineering with applied research, with opportunities to contribute to sta...

Role: Systems Engineer (SysML, MBSE, aerospace & Defence, SC) Location: Remote (with occasional travel to London HQ) Employment Type: Permanent – Full Time Department: Engineering Reporting To: Head of Engineering Compensation: (DoE) About the Opportunity Our client is building AI and Autonomous Systems — a next-generation safety technology. Launched in 2017, they are a fast-growing start-up working at the forefront of AI, robotics, and safety-critical systems, with a strong focus on innovation and real-world impact. Working Culture Our client operates with the pace and ambition of a high-growth start-up. They are building something meaningful and are looking for individuals who are energised by that journey. This environment will suit someone who: • Enjoys taking ownership, • Is comfortable wearing multiple hats, • Learns quickly and adapts to change, • Is willing to go beyond core hours when needed to maintain momentum The team is driven by building, solving complex problems, and moving quickly together. Collaboration and adaptability are key, and individuals are expected to bring curiosity, commitment, and a strong team mindset. The Role Our client is seeking a Systems Engineer to join their engineering team, working on cutting-edge assurance systems for AI and robotics applications, initially focused on Unmanned Aircraft Systems (UAS). In this role, you will play a key part in: • Shaping system architecture, • Supporting software design, • Managing engineering lifecycle activities, • Contributing to the development of safety-critical solutions This is an opportunity to work on technologies that are shaping the future of AI and robotics safety, within a highly innovative environment. Key Responsibilities • Design and develop system architectures, particularly for Unmanned Aircraft Systems (UAS)., • Collaborate with cross-functional teams including embedded software, safety, and ML engineers to ensure cohesive system integration., • Conduct system-level analysis, trade-off studies, and risk assessments to meet safety, performance, and regulatory requirements., • Define and maintain system-level requirements, interfaces, and specifications in line with industry standards., • Oversee implementation, integration, and verification of system components., • Manage the systems engineering lifecycle from planning through to validation, verification (V&V), and customer acceptance., • Contribute to improving systems engineering processes, tools, and methodologies. Key Skills & Experience • Degree (Bachelor’s, Master’s or PhD) in Computer Science, Electrical Engineering, Aerospace Engineering, or a related field., • Experience in systems architecture and design within complex, safety-critical environments — ideally in the UAS domain., • Knowledge of systems engineering methodologies such as MBSE, SysML, and DoDAF., • Understanding of software and hardware architecture, real-time systems, and embedded systems design., • Experience with safety-critical standards (e.g., DO-178C, DO-254, ARP4754A, ARP4761)., • Familiarity with UAS regulations and standards (e.g., FAA, EASA, ICAO)., • Strong analytical and problem-solving skills., • Excellent communication and ability to collaborate across teams. About the Technology Our client’s software enables the assured and trustworthy deployment of both deterministic autonomy and AI-driven control methods — without reliance on data or communication links. Their initial focus is on autonomous systems within aerospace and land-based environments, developing solutions that are: • Future-focused, • Compliance-ready, • Built for safety-critical applications

Senior Applied Machine Learning / Computer Vision Engineer Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning / Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system. This is an opportunity to build real-world AI systems from first principles, combining research-level work with deployment and impact, with freedom to explore and contribute to publishable work. Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months. Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Working closely with the AI Lead and CTO, you will take ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems. The Senior ML/CV Engineer role combines hands-on engineering with applied research, with opportunities to contribute to state-of-the-art work suitable for venues such as NeurIPS, ICCV, or CVPR, where appropriate. Responsibilities : Model Development & Training Develop and train models for perception, correspondence, and feature extraction Design experiments to improve performance, robustness, and generalisation Explore novel architectures and approaches where appropriate Data & Training Infrastructure Build and maintain scalable training pipelines Work with real-world and synthetic datasets Design evaluation frameworks and benchmarks Deployment & Optimisation Optimise models for edge and real-time deployment Improve inference speed, memory efficiency, and robustness Integrate models into full perception pipeline Applied Research Contribute to advancing the state-of-the-art in applied vision systems Collaborate on research outputs suitable for top-tier conferences Balance innovation with delivery constraints Requirements : PhD in Machine Learning, AI, Computer Vision, or related field Strong experience with deep learning frameworks (PyTorch / TensorFlow) Strong experience with computer vision models and ML training and evaluation pipelines Strong programming skills (Python, Java, C, CUDA and/or C++) Demonstrated ability to translate theory into working systems Citizenship of a NATO country (required due to project constraints) Highly Desirable: Publications in NeurIPS, CVPR, ICCV, etc. Experience deploying models to edge / embedded systems Experience with multi-view or 3D perception problems We encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience. TPBN1_UKTJ

We are seeking a Senior Flight Software Engineer to join a high-performing engineering team working on cutting-edge space missions focused on the future sustainability of the space environment. This role sits within a specialist Flight Software team responsible for developing embedded real-time software for advanced spacecraft systems, including next-generation missions designed to support satellite servicing and orbital debris removal. This is an excellent opportunity for an experienced embedded software engineer looking to work on innovative, mission-critical space programmes and play a key role in shaping the future of in-orbit operations. You will be responsible for the development of onboard flight software for satellite systems, working closely with multidisciplinary teams across systems, GNC, and computer vision. The position covers the full software lifecycle, from requirements definition through to integration, verification, and testing. Key Responsibilities Design, develop, and verify onboard flight software for spacecraft systems Collaborate with subsystem and system-level teams to define software requirements and solutions Contribute to and support design reviews, ensuring software compliance and performance Act as a subject matter expert in flight software development Support integration of Computer Vision and Guidance, Navigation & Control (GNC) software into the flight environment Contribute to knowledge sh...

Senior Computer Vision Engineer PhD in CV / AI / Robotics In order to make an application, simply read through the following job description and make sure to attach relevant documents. 3D Vision & Multi-Camera Systems Oxford - hybrid working c£110-150k DoE + Equity Were seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment. Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months. Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Theyre building a fundamentally new approach to multi-stereo perception, combining geometric methods and learning-based techniques into a deployable real-world system. You will work directly with the CTO and AI Lead to design and implement the core geometry and perception pipeline - spanning camera calibration, multi-view correspondence, and 3D scene understanding. The Senior Computer Vision Engineer role is deeply hands-on but also offers the opportunity to contribute to state-of-the-art applied research, with scope for publication at leading venues such as ICCV, CVPR, or NeurIPS, where appropriate. Responsibilities: Geometry & Multi-View Vision • Develop and optimise multi-camera calibration and alignment pipelines, • Design algorithms for multi-view correspondence and reconstruction, • Explore and implement novel approaches at the intersection of geometry and learning, • Contribute to advancing state-of-the-art perception techniques, • Work closely with ML and systems engineers to integrate perception into deployable systems, • Analyse real-world performance and iterate on failure modes, • Translate research ideas into production-quality code, • Maintain high standards of code quality, testing, and reproducibilityRequirements:, • PhD in Computer xrnqpay Vision, AI, Robotics, Machine Learning, or closely related field, • Strong expertise in multi-view geometry and camera calibration, • Strong experience in 3D vision / reconstruction/ SLAM, • Strong programming skills (Python, Java, C, CUDA and/or C++), • Demonstrated ability to translate theory into working systems, • Publications in top-tier venues (ICCV, CVPR, ECCV, NeurIPS, etc.), • Experience with real-world perception systems (robotics, UAVs, automotive, defence)

Well-established, nationwide business in the entertainment / gaming sector is looking to recruit an electrically biased Maintenance or Service Engineer who has excellent hands-on repair, fault finding and debugging skills. An understanding and familiarity with IT network connectivity and general IT infrastructure would be a bonus. From our Northamptonshire office and covering the Midlands region, build yourself a career with UK owned business that continues to grow and promote from within. Considering making an application for this job Check all the details in this job description, and then click on Apply. BASIC SALARY: Up to £35,000 BENEFITS: · Company vehicle (Van) · 23 Days Holiday (& Bank Holidays), rising with service · Access to full company benefits package including pension, healthcare and EAP. LOCATION: Extended commutable to the Northamptonshire Office COMMUTABLE LOCATIONS: Northampton, Milton Keynes, Luton, Coventry, Rugby, Daventry, Wellingborough, Market Harborough, Corby, Leicester, Leamington Spa, Banbury, Bletchley, Bedford, Kettering, Peterborough, JOB DESCRIPTION: Electrical Field Service Engineer, Electrical Technician, Maintenance Engineer - Gaming, POS, ATM, Photocopiers This is a field based electrically biased Service Engineer role providing scheduled service, maintenance, reactionary repair, installation and commissioning of a very wide range of machinery across the midlands (and occasionally further afield). You will also be responsible for repair and pre-commissioning of equipment at the Northampton workshop. Very limited staying away. You'll also be liaising with internal team members, providing remote technical support for computer hardware and POS systems. As such, a familiarity with fault finding / extracting the relevant information from software applications would be a benefit. You will also support the internal IT systems - with very occasional shared IT support monitoring over evenings and weekend (for critical events only), and to cover holidays. KEY RESPONSIBILITIES: Electrical Field Service Engineer, Electrical Technician, Maintenance Engineer - Gaming, POS, ATM, Photocopiers · Field based electrically biased Service Engineer role · Repair and pre-commissioning of equipment at the Northampton workshop · Electro-mechanical work on hardware, plus troubleshooting issues related to software applications / network connectivity. PERSON SPECIFICATION: Electrical Field Service Engineer, Electrical Technician, Maintenance Engineer - Gaming, POS, ATM, Photocopiers · An electrically biased Maintenance or Service Engineer with excellent hands-on repair, fault finding and debugging skills · Familiarity with electrical equipment - so any experience in the gaming machine, atm, photocopier, point-of-sale sectors would be an obvious advantage · Understanding of network connectivity and general IT infrastructure would be an advantage THE COMPANY: Established over 20 years ago, this family run business has seen large amounts of growth in the last few years, and doesn't see that expansion slowing up any time soon. Come join this thriving, successful business where you'll be a key component in a flourishing engineering team. PROSPECTS: We have a strong proven track record of promoting and developing from within. In fact, some of the members of the engineering, commercial and senior leadership teams began working at entry level positions and through training and development moved up within the business. It is highly likely you will have worked in any of the following roles and/or markets, and worked with the following products and/or services: Service Engineer, Maintenance Engineer, Electrical Engineer, Electrician, Site Engineer, Shift Engineer, Field Service Engineer, Facilities Management, Electromechanical - Gaming , POS, ATM, Photocopiers, Franking machines INTERESTED? Please click apply. You will receive an acknowledgement of your application. Wallace Hind Selection, alongside our client embrace diversity, champion equality, and foster inclusion to create a work environment where everyone belongs and thrives. xrnqpay Please Note: Wallace Hind Selection have been chosen as the retained recruitment partner of our client and therefore any direct applications to our client from candidates or agencies will be forwarded on to us direct. REF: SP18432, Wallace Hind Selection

Senior ECU & Electronics Hardware Engineer Advanced EV, Battery & Powertrain Systems Overview We are recruiting a Senior ECU & Electronics Hardware Engineer to join a established engineering organisation developing next-generation electric powertrain and battery technologies. This role sits at the intersection of advanced EV systems and motorsport-pace engineering, delivering real hardware into real testing and deployment environments. This is not a software-only or late-stage production role. You will design, build, test and own ECU-level hardware used within battery management systems, powertrain control and supervisory electronics. The work is hands-on, technically demanding and safety-critical, supported by long-term investment and organisational scale. The Role You will take end-to-end ownership of ECU and electronic control hardware, from early concept and architecture through schematic, PCB design, bring-up, validation and production release. Alongside hardware delivery, you will play a key role in developing and supporting Hardware-in-the-Loop (HIL) systems used to validate EV battery and powertrain architectures. The environment is fast-paced and prototype-led, but with the structure, funding and stability of a major global engineering organisation. Engineers in this team work closely with firmware, software, systems and test teams to deliver robust, high-performance solutions. Key Responsibilities Lead ECU and electronic hardware design from concept through to production Design mixed-signal, safety-critical control and interface boards Perform circuit design, simulation, schematic capture and PCB layout oversight Own board bring-up, debugging and fault diagnosis using lab equipment Develop, support and debug ECU-connected HIL rigs Support battery, powertrain and control hardware during lab, rig and test activities Apply high-voltage-aware design principles, including isolation, creepage and clearance Select components with consideration for EMC, thermal and reliability requirements Define and execute hardware test strategies, including EVT, DVT and PVT Work closely with embedded firmware and software engineers to deliver integrated systems Mentor junior engineers and contribute to continuous improvement of team processes Technical Requirements ECU & Electronics Hardware Proven experience designing ECU-level electronics hardware Mixed-signal, safety-critical board design experience End-to-end ownership from schematic through PCB and validation Strong hands-on lab capability; comfortable debugging your own designs EV, Battery & Powertrain Systems Experience with BMS hardware, battery control units or EV powertrain electronics Understanding of HV battery systems, charging and power electronics Exposure to high-voltage PCB design practices Tools & Practical Skills PCB design experience using Altium, Cadence, Zuken or Mentor Confident use of oscilloscopes, logic analysers and bench equipment Practical soldering, rework and prototype modification skills Embedded & ECU Interfaces Experience working with microcontrollers or processors Communications: CAN, SPI, ISO-SPI, IC, UART CAN bus design, termination and EMI mitigation Safety, Quality & Standards Understanding of EMC and EMI mitigation Grounding strategies and transient protection Familiarity with functional safety principles Experience applying DFMEA and hardware verification methods Exposure to automotive or motorsport-grade design standards Ideal Background Automotive, EV, motorsport or advanced engineering environments Prototype-heavy, fast-moving programmes Experience delivering hardware against demanding technical schedules Seniority Expectations Leads designs end-to-end with minimal supervision Comfortable making architectural and technical trade-offs Drives design reviews and delivery timelines Acts as a mentor and technical reference for others Takes ownership for outcomes, not just tasks Package & Benefits (UK) Competitive base salary: £60,000-£70,000 (higher for Lead/Principal profiles) Annual bonus scheme Pension with strong employer contribution, increasing with service Share / SIP scheme Private medical insurance and health cash plan Life assurance and income protection Free on-site gym and discounted national memberships Electric car salary sacrifice scheme 26 days holiday plus bank holidays, with option to buy additional days Working Pattern Predominantly on-site role due to lab, rig and prototype requirements Typically 4-5 days on site, with limited flexibility for remote design or admin work Occasional extended hours aligned to testing or integration milestones Minimal travel, primarily UK-based test facilities Why This Role This position offers genuine ECU hardware ownership, advanced EV and battery exposure, and the pace of motorsport engineering combined with long-term stability and investment. It is suited to engineers who want to design, touch, test and improve real hardware - not manage it at arm's length. To find out more about Computer Futures please visit TPBN1_UKTJ

IT & Communications Apprentice Do you have the following skills, experience and drive to succeed in this role Find out below. The Army - United Kingdom From £26,334 a year Create a battle-winning cyber capability. As a full-time soldier, entry-level Communications Engineer in the British Army, youll: • Learn how to protect our frontline communications systems from cyber warfare threats, • Join one of three focused trades: Information Services, Networks, or Infrastructure, • Configure, deploy, and maintain operational and tactical communication systems, • Engineer radios, satellite systems and computer networks, • Build voice and data telecommunications networks Set yourself up for life. During your initial training, youll earn £26,334. If you set your mind to it, you could reach Corporal within 5 years, earning £37,861. Youll also receive 30 days annual leave every year (plus bank holidays and extra leave after operations), free medical and dental care, cheaper living costs, and free gym and sports facilities. And unless you're away on operations or training exercises, you'll normally work 8.30am to 5pm, Monday to Friday. From your very first day of training with us, youll be gaining transferrable skills skills that could set you up for life. You dont need to know how to do the job before you get here, because well give you all the entry-level training you need. Youll even get to travel the world, taking part in the Armys adventurous training, and spending dedicated time playing the sports you love. Get skills, get qualified, get confident. xrnqpay You Belong Here. Apply Now.

Senior Computer Vision Engineer PhD in CV / AI / Robotics 3D Vision & Multi-Camera Systems Oxford - hybrid working c£110-150k DoE Equity Were seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment. Responsibilities : Geometry

Volantes Technical Recruitment are seeking a Senior Avionics Design Engineer to join a leading helicopter manufacturer. You will be responsible for providing design leadership for concept and integration of avionics systems to meet Customer requirements, translating proposed concepts into detailed design in compliance with Certification requirements, compatible with OEM Type Certificate systems and operational philosophy, supporting the continued airworthiness of the organisations approved designs in line with DOA Obligations, and applying Systems Engineering process, methods and tools. Main responsibilities ● Coordinate and Manage all avionics activities in concert with business requirements within a multi-function environment. ● Capture and understand Customer requirements, providing guidance internally and externally to facilitate a cost effective design and production solution. ● Apply Systems Engineering practices, tools and methods. ● Define avionics design concept and integration from agreed customer requirement through to detail design. ● Ensure that design meets Customer and Certification requirements within a formal validation and verification process. ● When approved to do so, undertake independent Compliance Verification in accordance with the organisation DOA Privileges ● Produce and direct detailed design in accordance with project milestones. ● Discuss and present design concepts and solutions during customer and supplier meetings ● Support Risk Management through identification, assessment and mitigation within scope of responsibility Initiate design mitigation as appropriate to address project issues such as obsolescence, shortages and production concessions. ● Produce concise and accurate design descriptions to facilitate change approvals and aircraft documentation. ● Provide liaison support to the production function. ● Define ground and flight testing to demonstrate compliance with Customer and Certification requirements. ● Support for required testing and documented analysis of results. ● Generate or verify compliance substantiation reports as required. ● Maintain technical competency and currency to ensure the effective use of latest technology to assist Customers in developing and fulfilling their mission requirements. Knowledge and Skills ● A good aviation background based in the Avionics discipline. ● A detailed engineering knowledge and aircraft avionics systems preferably with a helicopter bias. ● A good working knowledge of: Equipment qualification process and related standards, FAR/CS 27 and 29 Certification Requirements and EASA/CAA Part-21J DOA and MAA DAOS process and practice ● Understanding of Aircraft System and Software Safety Analysis processes. ● Proficient in AutoCad, and other CAD tools for electrical and harness design ● Experience using Design Lifecycle and Configuration Management Tools ● Computer literate in MS Office desktop applications Education, Qualifications or Training ● Engineering degree or equivalent. ● Apprenticeship or equivalent training. ● Should be professionally accredited or working towards an appropriate professional accreditation. About you ● Possess clear and concise communication skills working at all levels. ● Ability to plan and prioritise workload in a dynamic business environment. ● Excellent communication skill; written and verbal. ● Ability to communicate and negotiate internally and externally at all levels. ● Commercially aware. ● Team player with the ability to work effectively under pressure on multiple tasks simultaneously. ● Flexible and willing to work dynamically in a multi-project environment. ● Well developed problem solving skills and the ability to assess evidence and develop conclusions based on that evidence in a logical and structured fashion Additional requirements ● Due to the nature of this position you will require DBS Security Clearance and be eligible for SC clearance. ● Applicants must meet any/all requirements of Export Compliance Regulations. ● All candidates must possess the current, legal right to work in the United Kingdom. The client will not be able to offer sponsorship for any employment Visa's. ● Be prepared to travel within the UK or abroad to support related business requirements (not extensive). The Reward In joining this organisation, you will play a critical part in delivering the most efficient helicopters for its customers, who serve, protect, save lives and carry passengers in demanding environments. On top of your competitive base salary, you will have access to the following benefits below via our salary sacrifice schemes: ● Private Medical Insurance (Bupa) – single cover for employees paid by the company ● Pension: Employees are auto-enrolled into the Airbus Group UK Retirement Fund. Initially, the organisation contributes 6%, employee 4% basic ● Share Incentive Plan and ESOP. Annual share schemes at company discretion. ● Success Share, Discretionary Group bonus scheme (conditions apply) ● Bikes to Work (up to £3,000) (employee purchase scheme) ● Technology ( employee purchase scheme) ● Mydrive (employee car purchase scheme) ● Den-Plan (employee purchase scheme) ● Health-care Cash Scheme ● Personal Accident Insurance (employee purchase scheme) ● Health Assessments ● Travel Insurance ● Shopping vouchers/discounts ● Financial/Legal Advice (eg, Will-writing; Lasting Power of Attorney)

An exciting opportunity has arisen for an experienced and motivated Systems Engineer to join a fast-growing organisation at the forefront of space technology and mission operations. In this role, you’ll be involved in the full lifecycle of ground segment development, from conceptual design through to maintenance and operational support. You’ll play a key role in developing the infrastructure and software on the ground that enable safe and reliable space missions. Working closely with Mission, Systems, and Operations teams, this position offers the chance to contribute to cutting-edge space missions and participate directly in control centre activities. It’s a fantastic opportunity to apply your technical expertise in a dynamic and collaborative environment where innovation and sustainability in space are core values. Key Responsibilities Lead or support the development of ground systems including Mission Control, Mission Planning, and Ground Station Interface Systems. Derive and manage system requirements across the ground segment and its components. Act as Product Owner or Technical Officer with external suppliers and support internal development teams during system design and integration. Collaborate closely with Mission, Systems, and Operations teams to ensure technical alignment across disciplines. Follow Agile (SCRUM) methodologies to implement requirements and maintain project schedules. Produce and maintain high-quality technical documentation, including requirements, verification plans, test procedures, and reports. Conduct verification and validation activities, including system tests and simulation campaigns. Support the Operations team during mission activities and assist with maintenance and troubleshooting of ground systems. Essential Skills Degree in Computer Science, Telecommunications, or a relevant engineering discipline. Minimum 3 years’ experience in ground systems engineering. Solid understanding of ground segment components and their interactions. Knowledge of space mission design and development processes. Experience in requirements engineering. Desirable Skills Experience with Mission Control Systems (e.g., SCOS-2000). Knowledge of Automation Systems, Mission Planning, or Ground Station Communications. Experience working in Agile/Scrum environments. Familiarity with C++ and/or Java, Linux systems, and shell scripting. What’s on Offer Flexible and hybrid working options 9/75 work pattern (optional) 25 days’ holiday (increasing with service) + bank holidays Private healthcare and life insurance Relocation and visa sponsorship (where applicable) State-of-the-art office and cleanroom facilities Supportive, international team culture and regular social events TT

Embedded Software Engineer Embedded Systems Team Location / Working Pattern Hybrid: Tuesday, Wednesday & Thursday on-site - Abingdon Salary Up to £50,000 (depending on experience) About the Role Embedded Software Engineer to join and help refresh an established embedded systems team. This is an excellent opportunity for someone early in their career who's passionate about low-level software and wants real responsibility, not just maintenance work. The role has come about due to a team departure and is focused on bringing in new energy, curiosity, and long‑term growth potential. While the core target is graduate to early‑career (1-3 years), strong candidates with up to ~8 years' experience will still be considered if they demonstrate the right mindset and motivation. ✅ Skill Set Strong C programming experience (✅ C is essential, ❌ C++ not required) Interest or experience in low-level / embedded systems Exposure to real-time systems, robotics, or similar (placements or university projects welcome) Understanding or experience with multi‑CPU architectures A genuine desire to grow, learn, and help move the team forward Backgrounds in telecommunications or similar low‑level environments are of interest (Automotive experience is less relevant for their current projects) Ideal Background Graduate or early‑career Embedded / Electrical / Computer Engineering background University projects or placements using C in real‑time or hardware‑adjacent environments Strong fundamentals and enthusiasm matter more than industry labels To find out more about Computer Futures please visit Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Test Engineer / Lab & Systems Support Engineer. Maintain existing systems and documentation.

Your new role As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine‑learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables critical to scaling production across a growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance. Key responsibilities include: Developing and maintaining statistical and ML models to analyse machine and material performance data Building and refining data pipelines to post‑process experimental and operational data Collecting experimental data and owning frameworks that track performance over time Collaborating with testing engineers to design robust experiments and ensure high‑quality training data Working with software engineers to embed modelling outputs into internal tools and platforms Communicating insights clearly to ensure your work delivers tangible value across the businessThis role is based at a dedicated R&D facility and offers exposure to real‑world, high‑impact engineering challenges. Hybrid Working is available 2-3 days a week in the office depending on the project at the time. What you'll need to succeed You'll have a strong analytical background and enjoy applying data, statistics and modelling techniques to complex physical systems. You'll be comfortable working across disciplines and translating technical insight into practical outcomes.Essential experience includes: A degree in Mathematics, Physics, Engineering, Computer Science, Data Science or a related STEM discipline (or equivalent experience) Strong programming skills, particularly in Python Excellent problem‑solving and analytical thinking High attention to detail with the ability to manage work independently Strong communication skills and confidence working in cross‑functional teamsDesirable experience includes: Industry or postgraduate experience in machine learning and/or statistical modelling Probabilistic programming and time‑series forecasting Experience within additive manufacturing, particularly Laser Powder Bed Fusion Investigating and reducing variation in production or manufacturing environments Interest in high‑performance applications such as aerospace, precision engineering or advanced electronics What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

QA & Test Engineer - Runtime Assurance Systems Location: Oxford (on-site at HQ) Employment Type: Permanent - Full Time About the company The company is a fast‑growing start‑up building the Trust Layer for physical AI and autonomous systems - next‑generation safety‑tech designed to unlock the true benefits of AI for humanity. Its software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI‑driven control methods in safety‑critical environments, initially focused on aerospace and land domains. Working culture The company is a fast‑growing start‑up with ambitious goals, and its culture reflects that. The team is motivated by building meaningful technology, solving hard problems and moving quickly together, embracing collaboration and change as part of start‑up life. Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it - not because it is expected every day, but because seeing progress matters. The organisation looks for people who want to be part of something being built from the ground up and who bring commitment, curiosity and teamwork to everything they do. The role The business is seeking an exceptional QA & Test Engineer to join the engineering team building cutting‑edge runtime assurance systems for AI and robotics applications. The role holder will play a vital part in developing and assuring safety‑critical embedded software components that underpin the safe and reliable operation of the company's solutions. Reporting to the CTO, the QA & Test Engineer will lead the design, development and execution of test and verification activities for the runtime assurance platform across multiple hardware architectures and real‑time operating systems. The position combines hands‑on technical work with significant influence over QA processes, tooling and continuous improvement. Key responsibilities Lead the design, development and implementation of embedded software for the runtime assurance platform across various hardware architectures and real‑time operating systems. Ensure compliance with industry standards, regulations and best practices for safety‑critical software development, such as DO‑178C, ISO 26262 and IEC 61508. Manage build configuration and CI/CD pipelines, using services such as Jenkins, CloudBuild or AWS CodePipeline. Develop and maintain Software‑in‑the‑Loop and Hardware‑in‑the‑Loop test environments, including automated deployment across multiple platforms. Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‑based workflows). Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system. Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system level) to maintain high quality standards. Develop, implement and execute test strategies and verification activities for safety‑critical software, including static and dynamic code analysis using tools such as Rapita RVS, LDRA, VectorCAST or Polyspace. Define and maintain test cases, procedures and automation frameworks to ensure consistency and repeatability. Support compliance with safety standards (e.g. DO‑178C, ISO 26262, IEC 61508, DEF STAN 00‑55) through rigorous testing and documentation. Lead defect reporting, tracking and resolution through structured QA processes, and prepare and present test results, coverage metrics and assurance evidence for internal and external reviews. Contribute to continuous improvement of verification and validation processes, tools and best practices. Candidate profile Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience, with a strong focus on embedded systems QA and software development and/or testing. Hands‑on experience in embedded software testing and QA, with a proven track record in delivering safety‑critical systems. Solid understanding of software development methodologies such as Agile, Continuous Integration and Test‑Driven Development. Experience with one or more CI/CD pipeline services (e.g. Jenkins, CloudBuild, AWS CodePipeline). Experience with infrastructure and automation techniques (e.g. bash, Python) and source control tools such as Git. Experience with at least one automated test framework (e.g. pytest, GoogleTest/gtest). Experience developing and executing test strategies and verification activities for safety‑critical software, including static and dynamic analysis. Strong problem‑solving, analytical and debugging skills. Excellent communication and collaboration abilities, with the ability to work effectively in cross‑functional teams. Rewards and benefits Competitive compensation package, dependent on experience. Salary sacrifice pension scheme with a 5% matched company contribution. Generous holiday allowance. EV car scheme and cycle‑to‑work scheme. Additional benefits to be introduced as the company grows. Candidates will have the opportunity to join a team that is enabling a future in which AI is not only intelligent but also assured, safe and trustworthy. DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Job Title: Fixed Wing CAMO Planner Location: Oxford Hours: Full-time, standard office hours with flexibility for on-call duties Salary: £45k-£60k DOE Role Overview: As a CAMO Engineer Planner, you will play a pivotal role in ensuring the continuing airworthiness of a diverse range of business jets. This position requires a detail-oriented individual who collaborates closely with maintenance teams, flight operations, and stakeholders, while complying with regulatory requirements to maintain the highest standards of safety and compliance. Key Responsibilities: Manage the continuing airworthiness of company aircraft by coordinating with Aircraft Maintenance Organisations (AMOs), Operations, and OEMs to plan requirements and resolve technical issues. Forecast, update, and maintain aircraft logbooks and physical records of all maintenance activities, including via computer and web-based planning systems. Plan and administer activities with external providers, ensuring they are carried out to the required standard in a timely and cost-effective manner. Assist AMOs in the recovery of aircraft from AOG situations. Monitor fleet certificates and subscriptions for Airframe, Engine, and APU to ensure maintenance data, warranty support programs, and related services are up to date and compliant with regulatory authority requirements. Ensure maintenance conducted on assigned aircraft is performed in accordance with company policies, procedures, and regulatory requirements. Ensure applicable Airworthiness Directives (ADs), modifications (SBs), and repairs are carried out and appropriately recorded. Maintain the company’s maintenance tracking system (CAMP) to reflect the approved maintenance program accurately. Prepare and assist the CAM in document preparation as required by authorities for Certificates of Airworthiness renewals and other aircraft document reviews. Monitor, assess, and approve all engineering invoices applicable to assigned aircraft in a timely manner. Attend operations meetings to provide updates on aircraft status, planned maintenance, and financial status. Regularly liaise with Maintenance Organisations, Operations, and Flight Crew to ensure any scheduled or unscheduled maintenance is communicated effectively. Be available for out-of-hours cover/on-call for the department as agreed. Perform any other duties as assigned by the CAM or the nominated deputy. Perform such other tasks as are reasonably requested by the Company SLT

Are you ready to take your career to the next level and be part of a pioneering team at the forefront of engineering innovation? This is your chance to join a company that is revolutionising industries such as aerospace, premium automotive, sport, and lifestyle. As a Control Systems Test & Validation Engineer, you'll have the opportunity to provide testing respurce work on groundbreaking projects, using cutting-edge technologies and methodologies inspired by motorsport and Formula 1. With a collaborative and dynamic work environment, this company offers a unique platform to showcase your skills and creativity, while making a global impact. What You Will Do: • Develop and maintain Verification & Validation plans for battery control software and hardware., • Own and manage requirements related to certification, including compliance with standards like REG.100 and UN38.3., • Set up and manage Model-in-the-Loop (MiL), Software-in-the-Loop (SiL), and Hardware-in-the-Loop (HiL) test environments., • Design, build, and maintain test benches and procedures for automated and manual testing., • Execute integration testing of supervisory controllers, Battery Management Systems (BMS), and Cell Monitoring Units (CMUs)., • Analyse test results, identify issues, and drive resolution through root cause analysis and collaboration. What You Will Bring: • A degree in Electrical, Computer Science, Control Engineering, or a related field., • Proven experience in developing and operating MiL/SiL/HiL testing environments., • Strong understanding of battery control systems, including supervisory logic, BMS, and CMUs., • Excellent documentation skills to support software deployment, production release, and certification processes., • Ability to work autonomously and effectively in a fast-paced, dynamic environment. This role is critical to ensuring the performance, safety, and compliance of control systems that power some of the most advanced technologies in the world. By joining this company, you'll contribute to delivering innovative engineering solutions that tackle complex challenges with agility and precision. Location: The role is based in Didcot atleast 3 days a week, at the company's core engineering and development hub, offering state-of-the-art facilities and is commutable from Abingdon, Didcot, Oxford and Newbury Interested?: If you're excited about the opportunity to become a Control Systems Test & Validation Engineer and make a real difference, don't wait! Apply now to take the first step towards an incredible career journey. 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

An exciting opportunity has arisen for a Senior Flight Dynamics Engineer to join a pioneering space organisation working on advanced orbital missions and next-generation space technologies. In this role, you will play a key part in trajectory planning, optimisation, and mission analysis, developing innovative solutions that provide clear insight into spacecraft behaviour and interactions within complex orbital environments. You’ll work across a wide range of mission scenarios, including rendezvous, proximity operations, docking, and separation, contributing throughout the full mission lifecycle. Key Responsibilities Define and review flight dynamics requirements for complex space missions Contribute to the architecture and development of flight dynamics systems and tools Develop and maintain mathematically intensive software modules Lead activities related to space traffic management, including conjunction analysis and collision avoidance Plan, execute, and assess orbital and attitude manoeuvres Support ground segment design and operational concepts Work closely with GNC, operations, and wider engineering teams Support spacecraft operations, including real-time and critical mission phases Develop and maintain operational procedures (nominal and contingency) Investigate anomalies and contribute to root cause analysis and resolution Participate in on-call rotations and mission-critical support activities when required Key Requirements Degree in Aerospace, Mathematics, Physics, Computer Science, or similar 5+ years’ experience in flight dynamics within the space industry Strong knowledge of orbital mechanics and mission analysis Experience with simulation tools (e.g. MATLAB or equivalent) Experience defining mission requirements and performing system analysis Strong communication skills and ability to work independently and within teams Desirable Experience Experience in flight dynamics operations and/or agile environments Programming experience (e.g. Python, C++, scripting, Linux) Exposure to Guidance, Navigation & Control (GNC) Understanding of flight dynamics system architecture Eligibility for security clearance is advantageous What’s on Offer Competitive salary and benefits package Hybrid and flexible working arrangements including 9/75 work pattern Opportunity to work on cutting-edge space missions and technologies Relocation support provided and visa sponsorship considered Collaborative, international engineering environment Modern facilities and strong focus on innovation and development This is a fantastic opportunity for a flight dynamics specialist looking to work on technically challenging missions at the forefront of the space industry, contributing to complex orbital operations and future space capabilities. TT

Business Development Manager / Sales Manager / Sales Engineer required to join a specialist engineering manufacturer. The Business Development Manager / Sales Manager / Sales Engineer will be fully remote, responsible for predominately new business development for flow measurement systems to both existing and new customers, identify new sales channels, gather market insights, build relationships with key clients, and collaborate with the sales team to drive growth, with the willingness to travel across the UK and internationally. The Business Development Manager / Sales Manager / Sales Engineer will ideally have experience developing new business and managing key accounts for flow measurement systems, including flow meters and level measurement instruments, with a proven track record in industrial sales and channel management. Strong knowledge of the oil and gas industry is essential. Package: £55,000 - £75,000 (depending on experience) Bonus scheme Car allowance or company car Pension scheme PHI (Personal Health Insurance)Business Development Manager / Sales Manager / Sales Engineer Responsibilities: Actively promote and sell the current flow computer models to both existing and new customers, ensuring strong revenue generation across the UK and internationally as required. Identify and target new sales channels in markets that require local representation, expanding the business reach and customer base. Gather market insights and customer feedback to identify potential new products and extensions to the current configurable range of flow measurement solutions. Build and nurture relationships with key clients, understanding their needs and ensuring their requirements are met with high-quality products and services. Work closely with the existing sales team and the Managing Director to ensure alignment with the business’s growth strategy and target objectives. Willingness to travel across the UK and internationally to meet with clients and prospects, promoting the brand and driving business growth.Business Development Manager / Sales Manager / Sales Engineer Requirements: Experience as a Key Account Manager, Area Sales Manager, Sales Engineer, Business Development Manager, Sales Manager, or Technical Sales Engineer within flow measurement and instrumentation. Experience of flow measurement systems, and mechanical or industrial instrumentation products such as pressure, temperature, flow, level, or analytical measurement instruments. Strong knowledge of the oil and gas industry is essential. Experience in managing and developing sales channels and distributor networks. Full UK driving license. Willingness to travel within the UK and internationally

Lead / Senior HPC Engineer Location: On-site (due to secure, air-gapped systems) Full-time | 40 hours per week Are you ready to play a key role in one of the most ambitious technological challenges of our time? We are a pioneering UK-based deep-tech company developing next-generation solutions at the cutting edge of advanced physics, simulation, and machine learning. Our work is focused on unlocking scalable, clean energy through breakthrough approaches, supported by world-class computational capabilities and innovative engineering. Alongside our core mission, we collaborate with leading organisations across advanced industries, applying our proprietary simulation tools and technologies to solve complex, high-impact challenges. This is a rare opportunity to join a highly skilled, mission-driven team working at the forefront of science and engineering innovation. The Role We're seeking a Lead HPC Engineer - or an experienced Senior HPC Engineer ready to step up - to take ownership of a large-scale, high-performance computing environment. You'll support and evolve an HPC cluster of over 10,000 cores, ensuring reliability, performance, and scalability for workloads ranging from single high-precision runs to thousands of parallel simulations. Working within the Software & HPC Engineering team, you'll collaborate closely with computational scientists, data engineers, and IT specialists to deliver a robust platform that underpins cutting-edge research and development. Key Responsibilities Maintain and optimise HPC hardware, working with external vendors where required Manage core system software and ensure platform stability Monitor performance, troubleshoot issues, and drive continuous improvements Oversee backups of critical data and system configurations Schedule and perform maintenance aligned with user activity Profile workloads and enhance system efficiency Communicate system status, updates, and major issues to stakeholders Capture user requirements and contribute to upgrade and capacity planning Support procurement processes and vendor negotiations Produce clear documentation for both technical teams and end users Collaborate across engineering and IT teams on shared infrastructure Current Environment You'll be working with a modern HPC stack, including: Large-scale multi-vendor server infrastructure (AMD EPYC, Intel Xeon) High-speed networking (100Gb LAN) and high-performance storage systems Linux-based environments (AlmaLinux, Ubuntu) Distributed file systems (Lustre, GlusterFS, NFS) HPC tooling including Slurm, Ansible, and monitoring frameworks Development ecosystems supporting C++, Fortran, MPI, and Python About You Essential: Degree in Computer Science (or equivalent experience) Strong expertise in Linux, HPC systems, storage, and networking Experience with MPI and scientific computing environments (C++, Fortran) Familiarity with job schedulers and workload management systems Scripting skills (Shell, Python) and version control (Git) Ability to design, implement, and support complex HPC systems Strong analytical thinking and problem-solving skills Excellent communication and collaboration abilitiesDesirable: Deep expertise in HPC optimisation and performance profiling Experience with configuration management tools (e.g. Ansible) Knowledge of containerisation (e.g. Singularity, Apptainer) Experience working with secure or air-gapped environments Familiarity with HPC accounting systems and SQL databases Experience supporting and training end usersRullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants

Test Engineer / Lab & Systems Support Engineer. Maintain existing systems and documentation.

Make extra money in a way that suits you — anytime, any day.Take charge of your earnings by becoming a self-employed delivery rider with Just Eat.Flexible hours – choose your own schedule and work when it suits you.Weekly pay – get paid, every week.No experience needed – just bring your moti

A technology consultancy in the United Kingdom is seeking a Test Engineer / Lab & Systems Support Engineer to maintain a critical test and lab environment. Candidates with various backgrounds, including graduates in engineering or IT, are encouraged to apply.

As a Maintenance Assistant at a Barchester care home, you'll help to create the safe and attractive surroundings that enable us to give our residents the quality care and support they deserve.It's important that our homes give the right first impression and that every area is always well-maintained.

Make extra money in a way that suits you — anytime, any day.Take charge of your earnings by becoming a self-employed delivery rider with Just Eat.Flexible hours – choose your own schedule and work when it suits you.Weekly pay – get paid, every week.No experience needed – just bring your moti

Become a Self-Employed Delivery Driver with Evri.Join one of the UK’s largest courier networks.Looking for a fresh start or a more flexible way to earn that fits around your lifestyle? Join Evri as a self-employed delivery driver working on a schedule that suits you.PLUS, with our Day 1 roadmap, y

Make extra money in a way that suits you — anytime, any day.Take charge of your earnings by becoming a self-employed delivery rider with Just Eat.Flexible hours – choose your own schedule and work when it suits you.Weekly pay – get paid, every week.No experience needed – just bring your moti

Become a Self-Employed Delivery Driver with Evri.Join one of the UK’s largest courier networks.Looking for a fresh start or a more flexible way to earn that fits around your lifestyle? Join Evri as a self-employed delivery driver working on a schedule that suits you.PLUS, with our Day 1 roadma

Degree in Control Systems, Electrical Engineering, Automotive Engineering, Mechatronics or similar. An exciting opportunity for a Control Systems Engineer to join a pioneering engineering team developing advanced electric vehicle technologies. Control Systems Engineer - EV / Automotive - Oxfordshire

Senior Systems Engineer reporting to the Systems Engineering Function Lead within the Weapon Systems Engineering function. The role requires a good understanding of Model Based Systems Engineering (MBSE), Requirements management, Interface Management, Integration, and V&V stages of the Engineering L

We are seeking a Senior Control Systems Engineer to lead the development of advanced control systems within an innovative engineering environment focused on high-performance electrified vehicles. Degree in Control Systems, Electrical Engineering, Automotive Engineering, Mechatronics or similar. Seni