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Avanti Recruitment is working with an established Oxford-based software company that develops highly specialised products used by organisations operating in regulated and data-driven environments. They are looking to hire a Graduate / Junior QA Engineer to join their growing Quality Assurance team. This is an excellent opportunity for a recent graduate or early-career professional who enjoys problem-solving, spotting details others miss and understanding how software works from a user's perspective. No commercial QA experience is required. The company is happy to provide training for the right person, but you will need a 2:1 or above degree in a STEM subject. The Role As a QA Engineer, you'll be responsible for ensuring software is thoroughly tested before release. You'll work closely with developers and product teams, helping to identify bugs, improve user experience and maintain high standards of software quality. Typical responsibilities include: • Testing new software features before release, • Investigating and reproducing software issues, • Verifying bug fixes, • Providing feedback on usability and functionality, • Reviewing documentation and product changes, • Working closely with developers and product managers, • Supporting software releases and quality standards The role is primarily focused on manual testing, with opportunities to develop automation skills over time. What We're Looking For We're interested in candidates who are: • Naturally curious and analytical, • Detail-oriented, • Strong communicators, • Comfortable learning new technologies, • Interested in software quality and testing, • Motivated to build a career within technology Must Have Skills & Experience • STEM degree (or graduating this year) in a subject such as Physics, Mathematics, Engineering, Computer Science, Natural Sciences or similar, • Excellent attention to detail, • Strong written and verbal communication skills, • Analytical and logical problem-solving ability, • Ability to learn new concepts and technologies quickly, • Strong organisational skills, • Genuine interest in software quality, testing and user experience, • Ability to work effectively within a collaborative team environment, • Willingness to work from the Oxford office a minimum of 3 days per week Desirable Skills & Experience • Previous software testing or QA experience (commercial, internship, placement year or personal projects), • Exposure to Python, • Experience using Linux, • Familiarity with Jira or similar issue-tracking tools, • Understanding of Agile development methodologies, • Exposure to API testing, • Experience writing or maintaining automated tests, • Previous customer-facing experience, • Summer internships, industrial placements or part-time work demonstrating initiative and responsibility, • Understanding of software development lifecycles What's On Offer? £30,000 starting salary Up to 8% annual bonus Enhanced pension contributions Childcare contribution scheme Free office lunches twice per week Dog-friendly office Hybrid working Excellent training and career development opportunities Supportive and collaborative team environment Interview Process 1st stage: Initial video interview (30 minutes) Final: Face to face interview onsite in Oxford (60-90 minutes) No coding test required. If you're looking for an opportunity to join a successful technology company where you'll receive genuine support, training and long-term career development, then I want to hear from you. Click Apply Now!!

Avanti Recruitment is working with an established Oxford-based software company that develops highly specialised products used by organisations operating in regulated and data-driven environments. They are looking to hire a Graduate / Junior QA Engineer to join their growing Quality Assurance team. This is an excellent opportunity for a recent graduate or early-career professional who enjoys problem-solving, spotting details others miss and understanding how software works from a user's perspective. No commercial QA experience is required. The company is happy to provide training for the right person, but you will need a 2:1 or above degree in a STEM subject. The Role As a QA Engineer, you'll be responsible for ensuring software is thoroughly tested before release. You'll work closely with developers and product teams, helping to identify bugs, improve user experience and maintain high standards of software quality. Typical responsibilities include: • Testing new software features before release, • Investigating and reproducing software issues, • Verifying bug fixes, • Providing feedback on usability and functionality, • Reviewing documentation and product changes, • Working closely with developers and product managers, • Supporting software releases and quality standards The role is primarily focused on manual testing, with opportunities to develop automation skills over time. What We're Looking For We're interested in candidates who are: • Naturally curious and analytical, • Detail-oriented, • Strong communicators, • Comfortable learning new technologies, • Interested in software quality and testing, • Motivated to build a career within technology Must Have Skills & Experience • STEM degree (or graduating this year) in a subject such as Physics, Mathematics, Engineering, Computer Science, Natural Sciences or similar, • Excellent attention to detail, • Strong written and verbal communication skills, • Analytical and logical problem-solving ability, • Ability to learn new concepts and technologies quickly, • Strong organisational skills, • Genuine interest in software quality, testing and user experience, • Ability to work effectively within a collaborative team environment, • Willingness to work from the Oxford office a minimum of 3 days per week Desirable Skills & Experience • Previous software testing or QA experience (commercial, internship, placement year or personal projects), • Exposure to Python, • Experience using Linux, • Familiarity with Jira or similar issue-tracking tools, • Understanding of Agile development methodologies, • Exposure to API testing, • Experience writing or maintaining automated tests, • Previous customer-facing experience, • Summer internships, industrial placements or part-time work demonstrating initiative and responsibility, • Understanding of software development lifecycles What's On Offer? £30,000 starting salary Up to 8% annual bonus Enhanced pension contributions Childcare contribution scheme Free office lunches twice per week Dog-friendly office Hybrid working Excellent training and career development opportunities Supportive and collaborative team environment Interview Process 1st stage: Initial video interview (30 minutes) Final: Face to face interview onsite in Oxford (60-90 minutes) No coding test required. If you're looking for an opportunity to join a successful technology company where you'll receive genuine support, training and long-term career development, then I want to hear from you. Click Apply Now!!

• Are you passionate about creating global impact from world leading University research?, • Would you like to join a supportive team of outstanding people who help bring great Oxford ideas to life?, • Do you have a technical or commercial background in any of the Physical Sciences? REF 290 - Full time permanent contract. We’re the innovation partner of the University of Oxford, using our commercial expertise to turn academic knowledge and research into real-world applications to build a better future. We bring together people with deep experience and broad expertise across research, business, investment and public impact. Most of our teams work closely with University of Oxford researchers and staff – using their specialist knowledge to help ideas travel from early thinking to innovation-led impact – while others make sure OUI runs smoothly and sustainably. From the earliest spark of an idea through to investment and ultimate impact, we provide the expertise, support and connections needed at every stage of the journey. The Opportunity: The successful candidate will join a talented and supportive team within our Licensing & Ventures Group and will focus on assisting the commercialisation of technologies arising from across the University, primarily the mathematical, physical and engineering sciences. The Licensing & Ventures Associate will obtain a broad introduction into technology transfer activities, including an understanding of licensing intellectual property. The key responsibilities of the role are: • Undertaking market research and analysis to enable commercially viable deals to be completed., • Supporting project managers by marketing technologies to potential end-users in industry and helping to create compelling business cases for spin-out companies, • Managing project administration and supporting the Licensing & Ventures Managers in project work. About you: The successful candidate will have a 1st class or upper second-class degree in a Physical Sciences or Engineering domain, with experience of working in a related research or commercial environment. They will also possess enthusiasm, positivity, and an appetite for learning and personal development, alongside a desire to achieve results. Additional qualifications such as a PhD or MBA are advantageous, although not essential. The successful candidate will also need to demonstrate: • The ability to grasp challenging technical concepts quickly., • Degree qualified (ideally 2.1 or 1st class honours) in a Physical Sciences or Engineering related field (Physics, Mathematics or Computer Science a plus)., • Excellent interpersonal, relationship management and team working skills, as well as strong verbal and written communication skills., • Working successfully and collaboratively within a team., • Strong organisational skills that allow effective management and prioritisation of a wide range of tasks within a process-driven environment., • Making considered recommendations that demonstrate sound judgement and good analysis., • listening effectively to colleagues and stakeholders, learning quickly, accepting constructive feedback and putting it into practice. How to apply: If you are interested in applying for this role, please download the Application Form from the Oxford University Innovation website careers page: https://innovation.ox.ac.uk/about-us/careers and send together with a copy of your CV and covering letter (quoting Ref No. 290 and you preferred pronouns) to Roy Bennett at roy@adlib-recruitment.co.uk The closing date is midday on Friday 26th June 2026. Information about the benefits and working life at OUI can be found here https://innovation.ox.ac.uk/about/careers/. Feel free also to contact Roy via his email if you have any queries before applying. Salary for this role is £36,000 per annum with excellent pro rata benefits including 30 days holiday & 8 bank holidays, rewards scheme, career opportunities, generous pension, private medical insurance and 50/50 hybrid working. Our commitment to Equality, Diversity and Inclusion: Oxford University Innovation is an Equal Opportunities Employer and is committed to fostering an inclusive culture which promotes equality, values diversity and maintains a supportive working, learning and social environment, in which the rights and dignity of all its staff are respected, and where everyone is able to be themselves and is empowered to reach their full potential. This commitment is linked to and reinforces the OUI values of integrity, collaboration and empowerment. We actively encourage applications from people of all backgrounds and cultures. OUI is accredited with the Investors in People Silver status. Our approach to hybrid and flexible working: We believe that our employees are our most valuable asset, and we are committed to attracting and retaining the very best talent. We also appreciate that the UK workforce is becoming increasingly diverse and includes a high percentage of parents and individuals with caring responsibilities, as well as those whose interests and aspirations impact on their time. We recognise the importance of helping our employees balance their work and home lives by offering flexible working arrangements that enable them to balance their work commitments with other priorities. This includes hybrid working and flexible working. OUI is accredited with the Investors in People Silver status.

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational STEM problems that simulate real scientific workflows., • Create problems that require Python programming to solve., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches., • Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)., • Document problem statements clearly and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field., • You have at least 5 years of Machine Learning experience with proven business impact., • Strong programming skills in Python (numpy, pandas, scipy, sklearn)., • Solid understanding of numerical methods and computational algorithms., • Research or industry experience involving computational problem-solving., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

We are looking for a highly skilled and collaborative Senior Technical Animator to bridge the gap between animation and engineering. You’ll bring deep technical expertise, a passion for animation systems, and a proactive mindset to help deliver smooth, expressive character performances across our projects. In this role, you will work closely with animators, riggers, and engineers to develop and maintain animation systems, tools, and workflows. You’ll play a key role in ensuring animation content is efficiently integrated into the engine, while mentoring junior team members and driving technical innovation. The rundown: • 12-month fixed term contract, • Full time (37.5 hours per week), • Fully remote within the UK, • Salary is competitive and dependent on experience Key responsibilities: • Develop and maintain animation systems, tools, and pipelines., • Collaborate with animation and engineering teams to ensure seamless integration., • Troubleshoot and resolve technical animation issues., • Optimize animation performance across platforms., • Support rigging and skinning workflows where needed., • Mentor junior technical animators and share best practices., • Contribute to long-term planning of animation tech and tools. The skills you’ll need: • Experience with animation systems in game engines (e.g., Unreal, Unity)., • Proficiency in Python, MEL, or similar scripting languages., • Solid understanding of rigging, skinning, and animation principles., • Experience with DCC tools like Maya or MotionBuilder., • Excellent problem-solving and communication skills. The nice to haves: • Experience with procedural animation or motion matching., • Familiarity with character physics and IK systems., • Knowledge of version control systems (e.g., Perforce, Git)., • Background in mentoring or leading technical animation effort We are nDreams – we develop and publish the world’s most immersive VR games. You may know us as the developer behind Synapse, Phantom: Covert Ops, Fracked, and Frenzies. As a publisher, we have also supported the release of other studio’s titles including Little Cities, PowerWash Simulator VR, and Vendetta Forever. With humble beginnings as an independent studio, we combine amazing projects with a personal, caring touch. We’ve got more incredible titles to be announced soon! We believe the best workplaces and games are created by diverse, happy and safe teams. We're committed to building a culture centred on respect, wellbeing and balance. It's crucial we make our games and industry more accessible to underrepresented communities. We strive to live this through the people we hire, the experiences we create and the causes we support. We want everyone to have the opportunity to bring their best, authentic self to work. Please let us know if you require reasonable adjustments during the interview process by emailing or speaking to your nDreams recruiter. For more information about reasonable adjustments, check out this We offer great perks, including flexible hours, duvets days, your birthday off, dedicated personal development time and support, as well as regular socials. Beyond this, there’s an excellent holiday offering, pension scheme, health insurance, life cover and much more.

Education - Bachelor’s degree in engineering, software engineering, computer science, physics or equivalent.

At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges. We do this by living the [DI] code: We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO We are hiring for developers for our growing Market Abuse Surveillance practice. What you’ll be doing: • Working with business users to define requirements for new application functionality, • Developing, testing, supporting and maintaining all code for client applications, • Assisting the Project Manager with all aspects of project delivery, • Working as part of a team to deliver projects on time and on budget, • Analysing data and creating reports for clients to present findings, • Mentorship and training of junior developers Experience and skills required: • Minimum 3+ years kdb+ development experience, • Knowledge and experience in KX Surveillance, or of technical solution development in a surveillance, context is highly advantageous, • Ability to learn new programming languages and financial concepts quickly - logical thinkers and problem solvers wanted, • Familiarity with Software Development Methodologies, • Good knowledge of the Systems Development Life Cycle, • Detail-orientated, results driven and in possession of a can-do attitude, • Capable of working both independently and within a team, • Excellent client facing skills, • Minimum 2:1 degree in Mathematics, Physics, Computer Science or any other scientific/engineering discipline Experience and skills desired*: *But don’t rule yourself out if you haven’t had the opportunity to develop these skills yet • Knowledge of Trade Surveillance technology and Market Abuse regulations in one or more jurisdictions, • Experience of other programming languages, e.g. Python, • KX Surveillance deployment and enhancement, • Experience with application of AI and Machine Learning, • Cloud development experience, • Experience of other data solutions, specifically Time Series Experience in an investment bank or large financial organisation, • People management experience, • Technical lead of project or sub-team What we offer: • Flexible working – we offer hybrid working so our people can achieve that elusive work/life balance., • Professional development – we offer extensive training, ranging from leadership to specific technical skills., • Progression opportunities - we run a biannual promotion process. Monthly 121s with your People Leader provides support to guide you and your career in the right direction., • International travel opportunities – we offer the opportunity to work internationally, with teams in Belfast, London, New York, Hong Kong & Singapore, • Healthcare cover – provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health, • Generous referral scheme – we love to see referrals and referring a friend means cash for you!, • Regular social events, prizes and giveaways – our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted

Luffy AI is the foundation AI company at the forefront of the Physical AI revolution. Every motor, every drive, every system that moves, heats or reacts has run on control algorithms invented before the microchip. A hundred years of industry built on logic that was never designed to learn, never designed to adapt, and never designed to improve. We're changing that. Spun out of the UK Atomic Energy Authority and based at Culham Campus in Oxford, we are a team of physicists, engineers and AI researchers working on the intelligence that will run the next hundred years - in every factory, every vehicle, every robot, every machine that does something real. Where industrial processes gain agency. Where every machine becomes intelligent. Where AI meets the Physical World. The role Our technology reaches the world through two routes. Through partnerships with the industrial automation companies that build machines deployed across global industry. And through the semiconductor companies whose chips sit at the heart of those systems - and increasingly, at the heart of automotive, robotics and consumer electronics too. This role sits at the centre of both. You'll be the first point of contact for inbound commercial interest - qualifying leads, understanding where they fit, and making sure the right things happen next. Working closely with marketing, you'll also drive outbound activity - identifying target accounts and stakeholders and building campaigns. Beyond the top of funnel, you'll support the Luffy AI’s partner relationships day to day, working alongside the EVP Commercial to keep those conversations progressing. This is a multi-faceted role. The common thread is commercial rigour - knowing what a good opportunity looks like, nurturing it over time with discipline. These are long, important relationships with serious organisations. Patience, consistency and judgement matter as much as energy. Your responsibilities • Qualify inbound commercial interest - understanding the opportunity, where it fits in our go-to-market motion, and what the right next step is., • Design and execute outbound campaigns alongside the marketing function — identifying target partner and prospect accounts, developing sequences, and driving engagement across the semiconductor and OEM pipeline., • Own the day-to-day progression of semiconductor partner relationships - nurturing existing agreements, identifying expansion opportunities, and coordinating demo programmes and joint development initiatives., • Support the broader OEM pipeline across active partnerships, ensuring commercial relationships stay warm and moving between senior engagements., • Work closely with the EVP GTM & Commercial to translate channel strategy into concrete partner activity., • Maintain rigorous pipeline records and partner activity in CRM - bringing visibility and discipline to a function that is currently informal., • Represent Luffy credibly and independently at industry events and partner meetings., • Collaborate with the marketing function to ensure partner-facing content, collateral and follow-up reflects the quality of the technology. You will be a good fit if you • Have experience in a partnerships, business development or channel role in a technology company - you understand what it means to manage a relationship commercially., • Understand how large technology organisations buy and partner - long cycles, multiple stakeholders, and relationships that are built over months., • Are comfortable in technical conversations and curious enough to go deeper - you won't be expected to explain the physics, but you will be expected to understand why it matters., • Understand the difference between a champion and an economic buyer, and how to move both forward, • Are self-directed and comfortable with ambiguity - you'll be given the mandate and expected to run with it., • Bring genuine rigour to pipeline management - you follow up, you track, you close loops without being chased., • Are comfortable running outbound campaigns — you know how to identify the right targets, craft a credible approach, and work with marketing to build sequences that open doors rather than close them., • You are a partner seller — you build relationships with intent, qualify rigorously, and always know what the next commercial step is., • Are drawn to early-stage environments, where the role is defined by initiative, tenacity and collaboration with a world class team. Exceptional candidates will also have • Experience in semiconductors, industrial automation, or embedded systems markets., • Familiarity with channel or ecosystem partnership models - co-sell, demo licensing, joint development., • Working knowledge of structured sales qualification methodologies such as MEDDIC or BANT, • A second European language, particularly German We welcome applicants with non-traditional career paths or equivalent experience. We’re committed to building a diverse and inclusive workplace and encourage applications from people of all backgrounds, regardless of race, gender, disability, religion, sexual orientation, or age. We don’t expect candidates to meet every requirement listed — if you’re excited about the role and think you could be a good fit, we’d love to hear from you. We also recognise that people have different responsibilities and circumstances. We’re open to discussing flexible working arrangements, including around caring responsibilities, to help make the role work for you. What we offer Competitive base salary plus bonus and equity. Abingdon / remote hybrid at Culham Campus. You'll work directly with the EVP GTM & Commercial from day one, with real visibility across the full commercial operation. Location Abingdon / remote hybrid. Office-based two days per week at our Culham Campus - proximity to the engineering team and marketing is part of what makes this role work. Travel may be required for industry events and partner meetings.

Job Title: Senior/Principal Naval Architect Location: Barrow-in-Furness, Bristol, Portsmouth or Frimley We offer a range of hybrid and flexible working arrangements please speak to your recruiter about the options for this particular role Salary: Competitive Who we are: Join BAE Systems and youll be part of something bigger. As a valued member of our global colleague network, youll bring your unique skills and perspectives to help pioneer progress and protect what matters most. Youll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, theres no limit to where a career at BAE Systems could take you. What youll be doing: You will be conducting the analysis and evaluations of submarine platform manoeuvring performance from concept design to in service support, whilst undertaking the development, verification and validation of mathematical manoeuvring models using physical model test data. You will be working with enterprise partners to develop modelling capabilities, processes and toolsets, all whilst collaborating with Naval Architect teams and customers to deliver innovative and safe submarine solutions, while supporting and conducting hydrodynamic sea trials. Core duties: • You will have gained prior experience within the generation of ship or submarine manoeuvring modelling, • You will need to be able to demonstrate a strong understanding of hydrodynamic principles and methods, • You will need to hold a degree in Naval Architecture, Aeronautical Engineering, Mathematics, Physics or have relevant equivalent experience The Vehicle Control Team: As a Principal or Senior Naval Architect in the Vehicle Control team, you will work with experts across Naval Architecture and the Whole Boat Design Team on major, complex submarine design and build programmes, delivering advanced platforms for the Royal Navy and Royal Australian Navy. We offer relocation support packages across all Submarine roles, subject to meeting eligibility criteria. Why BAE Systems? Here youll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. Youll be recognised for your contribution and enjoy rewards tailored to whats most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: Were committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 18th June 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-CB1 #LI-hybrid JBRP1_UKTJ

We're looking for a Graduate Machine Learning Engineer to join our supportive, multidisciplinary team and contribute to the development and application of machine learning solutions for our clients and products. You will help explore, prototype, and implement AI/ML approaches to problems both within and outside our core product offering. Working at the forefront of AI and ML alongside experts in a range of disciplines, you'll help users defend against Defence & National Security threats and directly contribute to safer, more resilient systems in the real world. Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This role provides an excellent opportunity to develop your technical skills, apply academic knowledge in a real‑world commercial environment and gain exposure to client‑facing work. This role can be office‑based or hybrid, with you expected to work from our Summertown, Oxford office at least one day per week. You will be required to travel to client sites and work at partner locations as needed. You should be willing and eligible to apply for and obtain UK security clearance if you do not hold an existing clearance. • Work closely with colleagues across Science and Engineering, and Product teams to help develop, test and implement ML algorithms that solve complex, real‑world problems efficiently and at scale, • Apply established machine learning techniques and libraries to real‑world datasets, with support and mentorship from senior team members, • Follow best practices in scientific experimentation, validation, and documentation, • Contribute to technical documentation, internal notes, and project reports, • Attend client meetings to understand customer needs and how solutions are delivered, • Take part in knowledge sharing, training, and professional development activities, including attending relevant events or conferences where appropriate to stay current with emerging ML technologies and techniques and support innovation within the team, • A degree (or expected degree) in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field, • Familiarity with modern machine learning libraries (e.g. PyTorch or TensorFlow) through coursework, projects, internships or extra‑curricular activity, • Experience programming in Python in an academic or project‑based context, • An interest in building practical systems that help users understand and benefit from machine learning models, • A strong foundation in scientific thinking, with an appreciation for experimental rigour and validation, • A willingness to learn, ask questions, and work collaboratively as part of a team, • An interest in working alongside our clients to understand and solve their complex problems, • Exposure to working with larger datasets and basic data engineering concepts, • Awareness of Agile or iterative development approaches, • Experience with additional programming languages (e.g. Java, JavaScript/TypeScript), • The ability to explain technical ideas clearly, with guidance, to both technical and non‑technical audiences We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You’ll enjoy a competitive compensation package and great benefits such as: • Hybrid working (some roles may require full time onsite attendance), • Flexible hours, • Professional and personal development, • 25 days of annual leave (plus Bank Holidays and a company‑wide break over Christmas), • Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution), • Private Healthcare (including dental and optical cover), • Group Life Cover at three times your annual salary once you pass your probation period, • Enhanced Parental and Sickness Leave, • Workplace Nursery Scheme, • Pet friendly office – A lot of our team bring their dogs to work! While we think the above experience is important, we’re keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all of our requirements, we still encourage you to apply. #J-18808-Ljbffr

Project Title: Asphaltene Fluid Modeling and Equation of State Tuning Abingdon, Oxfordshire, United Kingdom Classical thermodynamics forms the foundation for modeling a wide range of engineering applications, particularly in the oil and gas industry. The behavior of fluid and solid systems is often described using Equation of State (EoS), which capture the relationship between pressure, volume, temperature and composition. For pure components, well‑established EoS models exist, calibrated using laboratory data, thereby reducing the need for extensive tuning in practical applications. However, modeling the behavior of mixtures, particularly hydrocarbon mixtures, presents a significant challenge. The presence of numerous components, including isomers, makes it impractical to model each component individually. This complexity is further amplified in systems involving asphaltenes – highly complex and poorly characterized fractions of crude oil. To address these challenges, techniques such as lumping and tuning are employed to simplify real‐component systems into pseudo‑component mixtures. These approaches aim to retain the key thermodynamic behaviours of the system while significantly reducing computational costs. In this context, we can write the tuning as a data‑assimilation problem and solve it by applying different methods. This internship focuses on tackling the tuning problem for asphaltene modeling using various EoS formulations, including Peng‑Robinson, Soave‑Redlich‑Kwong and Cubic Plus Association (CPA). The goal is to develop a robust workflow that converts asphaltene PVT laboratory data into EoS inputs applicable to real‑world oil industry scenarios. • Literature review: conduct an in-depth review of the state‑of‑the‑art in asphaltene modeling, PVT laboratory data interpretation, and Equation of State tuning techniques, • Data tuning: implement and apply tuning methodologies to real asphaltene PVT laboratory datasets, • Workflow development: design and document a systematic workflow for converting asphaltene PVT laboratory data into EoS inputs, • Validation and comparison: evaluate and compare the performance of different EoS models, identifying strengths and limitations for each, • Manuscript preparation: prepare a detailed manuscript summarizing the workflow, methodology, and key findings. The manuscript will serve as a basis for potential submission to a research journal, • Studying a Masters in Chemical Engineering, Fluid Modeling, Applied Physics or a related discipline, • Thermodynamics and fluid modelling, • Data analysis, • Programming (Python), • Scientific documentation SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying. #J-18808-Ljbffr

Hybrid 3 days on site, 2 days remote • 5+ years of professional software engineering building & shipping complex, production‑grade applications — not solely scripting, prototyping, or research., • Strong proficiency in C#/.NET; also C/C++; demonstrated ability to work across both languages in a single product ecosystem., • Undergraduate (or higher) degree in Computer Science, Software Engineering, or a closely related engineering discipline., • Any Eclipse RCP or IDE's nice to have., • Comfort & curiosity with AI‑assisted development tools & a track record of staying ahead of technology trends., • Experience with cloud architecture (AWS, Azure, &/or Google Cloud)., • Proven experience with software engineering fundamentals: object‑oriented & component‑based design, design patterns, unit/integration testing, version control (Git), & code review workflows., • Hands‑on CI/CD experience — building, configuring, or maintaining automated build & deployment pipelines., • Experience modernizing legacy software — migrating codebases from older languages or frameworks to current platforms, including UI/UX modernization. This is a hands‑on software engineering role. My client is looking to recruit an experienced Senior Software Engineer to design, develop, & modernize high‑performance Rock Physics desktop & cloud applications. Reporting to the Team Lead & working closely with the Product Owner, you will own the technical direction of production software — writing code daily, reviewing pull requests, & driving architectural decisions. • Design & build software — Architect, implement, & maintain complex desktop & cloud applications using modern software engineering practices (design patterns, SOLID principles, automated testing, continuous integration/delivery)., • Modernize legacy systems — Lead migration of mature C/C++ codebases to modern languages, runtimes, & UI/UX frameworks while preserving scientific accuracy & performance., • Leverage AI‑assisted development — Actively adopt AI‑powered tools (e.g., Copilot, code‑generation, automated testing assistants) to accelerate delivery & improve code quality., • Collaborate on architecture — Partner with the Team Lead & Product Owner to translate requirements into sound, maintainable technical solutions the team can implement & iterate on., • Mentor & lead technically — Coach junior & mid‑level developers through code reviews, pair programming, & knowledge‑sharing; foster a culture of engineering excellence., • Communicate clearly — Escalate risks, trade‑offs, & progress in a timely, structured manner to technical & non‑technical stakeholders., • Stay current — Continuously evaluate & adopt emerging languages, frameworks, cloud services, & AI/ML tooling relevant to the product. Self‑motivated & collaborative; thrives in a team environment & takes initiative without direction. Excellent analytical, communication, & problem‑solving skills. #J-18808-Ljbffr

TOKAMAK Operations Engineer Abingdon Rd, Culham, UK Full-time Salary: £64,820 (inclusive of Specialist Allowance) + excellent benefits, including outstanding pension Division: Plasma Science and Fusion Operations Site Location: UKAEA Culham, Oxfordshire Confirmed Grade: Grade H Department: Plasma Science and Fusion Operations Lead Team Company Description By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the worlds energy? If so, read on. Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realising fusion energy, partnering with industry and research for ground-breaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovative, Committed, Trusted, and Collaborative. As an employee of UKAEA, you will benefit from: - Outstanding defined benefit pension scheme, details of which can be found at the end of this advert - Corporate bonus scheme up to 7% and a Relocation allowance (if eligible) - Flexible working options , including family-friendly policies and the right to request flexible working from the start of your employment - Employee Assistance Programme and trained Mental Health First Aiders - Generous annual leave allowance, starting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays - Wide range of career development opportunities - A vibrant culture committed to equality and being fully inclusive What to expect in our recruitment process: For a step-by-step overview of how we hire from application to offer, please see our Recruitment Process page on our website. Job Description The salary for this role is £64,820 (inclusive of a Specialist Allowance). Onsite working is expected for 5 days each week, however, we actively support requests for flexible working. This role can be based at any of the following sites: Culham, Oxfordshire. This role requires employees to complete an online Baseline Personnel Security Standard (BPSS) , including The Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data. The Role MAST-U is currently the largest operating spherical tokamak in the world, providing a facility on which to perform experiments to provide the answer to key questions for fusion power to be delivered to the grid. We are looking for a TOKAMAK Operations Engineer who will be contributing directly to several critical aspects of the MAST-Upgrade Operations & Machine Protection Working Group (MPWG) for MAST-U function: establishing and updating the Design Basis together with the Operational Envelope in an informed, controlled manner through identification and strategic mitigation of Technical Risk both on a proactive and reactive basis. You will also be working on the development and effective implementation of appropriate Engineering Processes and Standards across UKAEA. Key Responsibilities: Lead and manage the execution of high-profile mechanical engineering activities (including exploratory research, assessment of plant designs/modification and reactive/proactive issue resolution for operational plant) with particular emphasis on tasks requiring expertise in: - analyses ranging from first principles, numerical solutions and multi-disciplinary simulation - use and development of computer-aided engineering (CAE) tools to simulate design functionality and qualify performance; manage a schedule of reference calculation methods and tools for use in a fusion component design - relevant benchmarking experiment, physical test or plant demonstration - behaviour of complex / interacting plant systems - impact of lifetime degradation effects Define the MAST-U Operating Instructions (MOIs) with input from appropriate experts to ensure the availability of the machine for operations. Monitor MAST-U operations with respect to the MOIs to ensure that the operation of MAST-U does not impact (i) Personnel Safety, (ii) the fatigue lifetime or integrity of the machine. Implement revisions to existing MOIs or introduce new ones as required. - Diagnose and resolve issues of plant integrity and plant protection. Ensure that the operation of the experimental facilities has an appropriate balance between performance, reliability and lifetime - To identify improved ways of operating the research machines to enhance their performance within the existing capabilities of the available plant - Undertake technical investigations and assessments into design or operational issues - Undertake fitness for purpose reviews - Technical Risk Assessment & Management for competing requirements (Reliability, Safety, Performance, Lifetime) - Lead risk-based exceptions / tailored application based on a clear understanding of the rationale for the rules Subject matter expert for specific regulations. Author of compliance processes or procedures within a diverse business; Member of relevant industry working groups and standards development organisations, etc. Working with and interpreting between multiple engineering disciplines. Qualifications Essential Requirements: - Engineering Degree at BSc/MSc level and higher or equivalent - Ability to perform exploratory design calculations using first principles, along with proven capability in engineering analysis and a good working knowledge of engineering materials and their properties - Demonstrable mechanical engineering design experience with mechanical and electrical machinery, electromagnetics, structural integrity and with ultra-high-vacuum equipment - Demonstrable mechanical engineering manufacturing experience - Demonstrable Systems integration experience in design and construction, both general (the efficient matching of diverse engineering systems in a large complex project) and specific (the detailed engineering of interfaces) - Practical technical experience of operating complex prototype equipment - Some experience in one or more of the following areas: - Experience in Tokamak system technologies - Experience in Control and instrumentation - Experience in Elementary plasma physics - Experience in Cryogenics Additional Information For a full list of benefits and to apply, select the apply button to be taken through to the UKAEA careers pages. UKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds who want to help us achieve our mission. We are under-represented from some groups and so want to encourage applications in particular from women in STEM, people from Black British Caribbean and African backgrounds and from Pakistani and Bangladeshi British backgrounds. Our Executive team, supported by our 'Head of Equality, Diversity and Inclusion' (EDI) and Wellbeing, and our EDI Networks actively promote Inclusion and take steps to increase diversity within our organisation. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success. UK Atomic Energy Authority is committed to being accessible. Please contact us if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information. Please note that vacancies are generally advertised for 4 weeks, but may close earlier if we receive a large number of applications. TPBN1_UKTJ

Hybrid 3 days on site, 2 days remote • 5+ years of professional software engineering building & shipping complex, production-grade applications, • not solely Scripting, prototyping, or research, • Strong proficiency in C#/.NET; & also, C/C++ with demonstrated ability to work across both languages in a single product ecosystem, • Undergraduate (or higher) degree in Computer Science, Software Engineering, or a closely related engineering discipline, • Any Eclipse RCP or IDE's nice to have, • Comfort & curiosity with AI-assisted development tools & a track record of staying ahead of technology trends, • Experience with cloud architecture (AWS, Azure, &/or Google Cloud), • Proven experience with software engineering fundamentals: object-oriented & component-based design, design patterns, unit/integration testing, version control (Git), & code review workflows, • Hands‑on CI/CD experience - building, configuring, or maintaining automated build & deployment pipelines, • Experience modernizing Legacy software - migrating codebases from older languages or frameworks to current platforms, including UI/UX modernization This is a hands‑on software engineering role. My client is looking to recruit an experienced Senior Software Engineer to design, develop, & modernize high‑performance Rock Physics desktop & cloud applications. Reporting to the Team Lead & working closely with the Product Owner, you will own the technical direction of production software – writing code daily, reviewing pull requests, & driving architectural decisions. • Design & build software – Architect, implement, & maintain complex desktop & cloud applications using modern software engineering practices (design patterns, SOLID principles, automated testing, continuous integration/delivery)., • Modernize Legacy systems – Lead migration of mature C/C++ codebases to modern languages, runtimes, & UI/UX frameworks while preserving scientific accuracy & performance., • Leverage AI‑assisted development – Actively adopt AI‑powered tools (eg, Copilot, code‑generation, automated testing assistants) to accelerate delivery & improve code quality., • Collaborate on architecture – Partner with the Team Lead & Product Owner to translate requirements into sound, maintainable technical solutions the team can implement & iterate on., • Mentor & lead technically – Coach junior & mid‑level developers through code reviews, pair programming, & knowledge‑sharing; foster a culture of engineering excellence., • Communicate clearly – Escalate risks, trade‑offs, & progress in a timely, structured manner to technical & non‑technical stakeholders., • Stay current – Continuously evaluate & adopt emerging languages, frameworks, cloud services, & AI/ML tooling relevant to the product. Self‑motivated & collaborative; thrives in a team environment & takes initiative without direction. Excellent analytical, communication, & problem‑solving skills. #J-18808-Ljbffr

This is a key role that will lead the definition, integration and delivery of highly advanced laser micromachining systems for customers operating at the forefront of research, semiconductor manufacturing and precision engineering. Working closely with commercial, engineering and customer-facing teams, the Laser Systems Specialist will take ownership of complex system developments from initial concept through to customer acceptance. Acting as the technical authority, you will ensure that multidisciplinary systems incorporating lasers, optics, motion control, machine vision and software are designed, integrated and validated to meet demanding performance, reliability and commercial objectives. The position requires an experienced laser specialist who can bridge the gap between customer requirements and engineering delivery, translating technical and commercial needs into practical solutions. You will play a central role in system architecture definition, requirements management, risk mitigation, verification and validation activities, while providing technical leadership across optical, mechanical, electrical and software disciplines. Candidates should have a degree in Engineering, Physics or a related discipline together with hands-on experience of laser micromachining technologies. A strong understanding of system integration, automation, motion control, laser-material interactions and complex engineering problem solving is essential. The successful individual will be comfortable working in a customer-focused environment, supporting technical proposals, contributing to commercial discussions and helping to shape future product developments. This opportunity offers the chance to work on cutting-edge laser technology within a highly specialised engineering environment, delivering bespoke systems for customers across international industrial and scientific markets. Requirements: Degree in Physics/Engineering or a relevant discipline Hands-on experience with laser micromachining or similar

Position: Laser Process Engineer Location: Oxford, UK A high-tech manufacturing company specialising in precision laser systems is seeking a Laser Process Engineer to join their expanding research and development team. This is an exciting opportunity to work on advanced materials processing technologies in a collaborative and innovative environment. Key Responsibilities: • Develop, optimise, and document laser-based processes for precision manufacturing applications, • Plan and conduct experiments to evaluate laser-material interactions, • Collaborate with engineering teams to integrate laser processes into bespoke systems, • Drive innovation to enhance process performance, reliability, and throughput, • Work to high standards of documentation and reporting, • Communicate effectively with colleagues across disciplines to support project delivery Required Skills and Qualifications: • Degree in Physics, Materials Science, Engineering, or a related field, • Over 3 years of experience in a research and development environment, • Solid understanding of lasers and optics, • Knowledge of laser materials processing techniques (e.g. ablation, cutting, drilling, patterning), • High level of quality and attention to detail in technical documentation, • Proven ability to innovate and improve process efficiency, • Strong team player with effective communication skills What’s Offered: • Opportunity to work on cutting-edge technology within a growing and supportive team, • A dynamic role at the intersection of R&D and practical engineering, • Exposure to a range of industries including electronics, energy, and life sciences, • Career development and learning opportunities in a high-tech environment

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

Principal Building Physics Consultant Remote £60,000 - £70,000 This is a senior-level opportunity suited to someone with a strong background in building performance and energy modelling, alongside proven team management and leadership experience. The successful candidate will play a key role in leading projects, managing and developing consultants, and supporting the continued growth of the business. The Role Lead the delivery of complex building physics and energy modelling projects across multiple sectors Manage project delivery through all stages, ensuring technical excellence and commercial performance Oversee dynamic simulation modelling and building performance analysis using IES VE Deliver TM52, TM54, TM59, Part O, Part L, SBEM, and EPC assessments Produce decarbonisation strategies and support SALIX funding applications Act as a senior technical lead for clients, architects, contractors, and multidisciplinary teams Manage, mentor, and develop junior and senior consultants within the team Support wider business growth and strategic decision-makingThe Ideal Candidate Extensive experience within Building Physics / Sustainability Consultancy Advanced capability with IES VE and dynamic simulation modelling Strong technical knowledge across overheating, operational energy, compliance, and performance modelling Previous management or team leadership experience is essential Proven ability to lead complex projects independently Excellent client-facing and communication skills Degree qualified in Building Services, Sustainability, Mechanical Engineering, or similarWhat’s on Offer £60K–£70K salary depending on experience Flexible hybrid working arrangement Clear progression and leadership opportunities Collaborative and supportive consultancy environment Strong pipeline of technically challenging projectsFor more information or to apply, contact Callum Jones at Aztrum via (url removed)

Hexwired has partnered with a UK-based engineering consultancy specialising in advanced Computational Fluid Dynamics (CFD) and aerodynamic development, applying high-performance simulation techniques originally developed in motorsport to sustainability, energy efficiency, and built environment applications. We are seeking a CFD Engineer / Aerodynamicist to join a highly skilled engineering team delivering complex fluid dynamics and aerodynamic development projects. The role involves both independent project ownership and collaborative work across multidisciplinary engineering teams. You will contribute to aerodynamic development programmes, support CFD methodology improvement, and help deliver innovative engineering solutions applied to real-world systems and efficiency-driven design challenges. Key Responsibilities • Deliver CFD and aerodynamic development projects with support from senior engineers or independently where appropriate, • Define project scope, technical approach, and deliverables, producing high-quality engineering reports and recommendations, • Support or lead aerodynamic strategy on assigned projects, • Present CFD results, analysis, and engineering conclusions to internal teams and external clients, • Contribute to the development and improvement of CFD tools, workflows, and best practices, • Work with clients to analyse aerodynamic systems and propose efficiency and performance improvements, • Support CAD-based design iteration for aerodynamic components and systems, • Review and contribute to engineering design documentation and technical specifications Required Skills & Experience • Strong analytical and problem-solving ability with attention to detail, • Degree in Aerospace Engineering, Mechanical Engineering, Physics, or related discipline (2:1 or above), • Strong understanding of aerodynamics and fluid mechanics, • Experience with Computational Fluid Dynamics (CFD) tools (OpenFOAM preferred), • Good CAD capability (NX or Rhino3D desirable), • Strong data analysis skills (Excel and/or similar tools), • Excellent written and verbal communication skills Desirable Experience • Up to 3 years’ experience in CFD, aerodynamic engineering, or related PhD/research environment, • Programming experience in Python, MATLAB, or similar tools, • Experience working in aerospace, motorsport, automotive, or applied research environments, • Familiarity with numerical methods or simulation-driven design workflows, • Experience collaborating in multidisciplinary engineering teams This role is ideal for engineers who enjoy applying physics-based modelling and CFD to real-world aerodynamic design challenges, with a focus on performance, efficiency, and engineering innovation. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today

Senior Systems Engineer – Ultrafast Laser Systems If you’re motivated by hands-on work with ultrafast laser systems and want real influence over how high-performance photonic technology is developed and deployed, this is an opportunity to step into a senior, technically driven role within a specialist laser engineering business. You’ll play a central role in architecting and delivering next-generation photonic processing platforms, combining deep experimental work with system-level ownership from early-stage R&D through to robust product delivery. This is a senior technical position with genuine responsibility, suited to someone comfortable leading complex engineering programmes from concept through to implementation. Working across ultrafast laser sources, precision motion systems, adaptive optics, and vision-based feedback, you’ll ensure stable, high-accuracy system performance in demanding environments, while driving integration, optimisation, and scalability. Essential experience Strong practical background with ultrafast or femtosecond laser systems Hands-on experience in photonics, precision instrumentation, or complex system integration Proven experience working with suppliers, customers, and cross-functional engineering teams Experience taking systems from development through to deployment or production Desirable background PhD or MSc in physics, optics, or a related discipline Experience with precision motion control, adaptive optics, or machine-vision-enabled systems Exposure to photonic device fabrication, fibre or waveguide technologies, or high-accuracy metrology Location: Oxford based, hands-on role with some flexibility Salary: Up to ~£60K depending on experience Benefits: Bonus, share options, private medical cover, enhanced pension, and professional development support

Portfolio Technical Lead – Optical Atomic Clocks | Oxford (hybrid working available) A technology-driven R&D organisation is seeking a Portfolio Technical Lead to oversee the development and transition of advanced timing and precision measurement systems into deployable products. This is a senior technical leadership role with influence over research direction, project delivery, and longer-term technology strategy. The Role You will lead a multidisciplinary technical team responsible for delivering a portfolio of complex R&D projects. Working closely with internal leadership, external partners, and funding bodies, you will define technical priorities, guide research efforts, and support the progression of selected technologies toward product development. Key Responsibilities +Lead and coordinate a portfolio of advanced timing and precision measurement projects +Define technical performance goals, roadmaps, and success criteria +Manage, mentor, and develop technical staff +Act as a senior technical contact for external collaborators and sponsors About You +PhD in a relevant physics or engineering discipline +Strong background in precision measurement, time/frequency systems, or related technologies +Experience with complex optical and laser-based systems +Proven technical leadership experience across multiple projects This is a rare opportunity to shape the direction of advanced research while leading technologies from concept to real-world impact. You’ll work with exceptional technical talent and have genuine influence over long-term strategy and outcomes

Engineering Analysis Team Leader Abingdon Rd, Culham, UK Employees work in a hybrid mode Full-time Salary: £64,820 (inclusive of Specialist Allowance) + excellent benefits, including outstanding pension Division: Integrated Engineering Site Location: UKAEA Culham, Oxfordshire Confirmed Grade: Grade H Department: Product Engineering Company Description Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realising fusion energy, partnering with industry and research for ground-breaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovative, Committed, Trusted, and Collaborative. As an employee of UKAEA, you will benefit from: • Outstanding defined benefit pension scheme, details of which can be found at the end of this advert - Corporate bonus scheme up to 7% and a Relocation allowance (if eligible) - Flexible working options , including family-friendly policies and the right to request flexible working from the start of your employment - Employee Assistance Programme and trained Mental Health First Aiders - Generous annual leave allowance, starting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays - Wide range of career development opportunities - A vibrant culture committed to equality and being fully inclusive What to expect in our recruitment process: For a step-by-step overview of how we hire from application to offer, please see our Recruitment Process page on our website. Job Description The salary for this role is£64,820 (inclusive of a Specialist Allowance)+ excellent benefits, including outstanding pension . Onsite working is expected for 3 days each week, however, we support requests for flexible working. This role will be based at Culham, Oxfordshire. This role requires employees to complete an online Baseline Personnel Security Standard (BPSS) , including The Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data. The Role The Engineering Analysis Group provides specialist support to UKAEA engineering activities, solving complex technical problems using advanced analytical methods while ensuring alignment with industry quality standards. You will lead the Engineering Analysis Team within the Product Engineering Analysis Group, delivering expert technical guidance across UKAEA. You will manage team performance and development, ensure the implementation of technical procedures, support strategic planning, and coordinate workloads to meet project demands effectively. This role requires a high level of technical expertise to ensure engineered products operate safely and reliably. If you want to play a critical role in maintaining staff capability and reducing organisational risk, including potential reputational impact, then we would like to hear from you. Key Accountabilities: You will have the opportunity to oversee complex engineering activities from concept through to delivery, ensuring compliance with relevant standards and regulations. You will also manage and develop a high-performing team, resolve key technical challenges, and collaborate with internal and external partners to drive innovation, support strategic planning, and promote expertise across UKAEA. This role covers three key areas of responsibility: Technical / Professional • Act as a subject matter expert in simulation methods and analytical procedures - Lead design, analysis, and qualification of fusion sub-systems while resolving technical issues - Build external collaborations and drive best practice, innovation, and technical outputs Project Management • Manage analysis and simulation activities across projects and work packages - Oversee technical delivery, ensuring compliance with relevant standards and requirements - Develop and execute technical plans, ensuring validation and successful project outcomes Line Management • Manage performance, training, recruitment, and resource planning - Ensure consistent quality, collaboration, and adherence to organisational processes Qualifications Essential • A relevant engineering masters degree or equivalent level gained through experience - Attained chartered status with a relevant professional institution or with qualifications and experience sufficient to attain it within a year of appointment - Expertise in the application of simulation and analysis within at least one area of physics, with broader competence across others, alongside experience working to design-by-analysis standards (e.g. ASME VIII or PD5500) and ensuring regulatory compliance - Experience defining and planning technical work packages and supervising staff in their execution - Good communication and technical writing skills with the ability to persuade and convince others in technical discussions Desirable • Experience with fusion-relevant environmental factors such as radiation, vacuum and transient magnetic fields Additional Information For a full list of benefits and to apply, select the apply button to be taken through to the UKAEA careers pages. UKAEAs mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, and inclusion and strive to ensure fair representation across our workforce. We particularly encourage applications from groups currently underrepresented in STEM, including women and individuals from diverse ethnic backgrounds, while ensuring all appointments are made on merit. UK Atomic Energy Authority is committed to being accessible. Please contact us if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information. Please note that vacancies are generally advertised for 4 weeks, but may close earlier if we receive a large number of applications. TPBN1_UKTJ

Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments * Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below

Plasma Operations Physicist Culham Science Centre, OX14 3DB Abingdon, Oxfordshire, United Kingdom Employees work in a hybrid mode Full-time Salary: £43,702 (inclusive of Specialist Allowance) + excellent benefits, including outstanding pension Division: Plasma Science and Fusion Operations Site Location: UKAEA Culham, Oxfordshire Confirmed Grade: Grade E Department: Plasma Physics Company Description By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the worlds energy? If so, read on. Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realising fusion energy, partnering with industry and research for ground-breaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovative, Committed, Trusted, and Collaborative. As an employee of UKAEA, you will benefit from: • Outstanding defined benefit pension scheme, details of which can be found at the end of this advert. - Corporate bonus scheme up to 7% and a Relocation allowance (if eligible). - Flexible working options , including family-friendly policies and the right to request flexible working from the start of your employment. - Employee Assistance Programme and trained Mental Health First Aiders. - Generous annual leave allowance, starting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays. - Wide range of career development opportunities. - A vibrant culture committed to equality and being fully inclusive. What to expect in our recruitment process: For a step-by-step overview of how we hire from application to offer, please see our Recruitment Process page on our website. Job Description The salary for this role is £43,702 (inclusive of a Specialist Allowance). Onsite working is expected for 4 days each week, however, we actively support requests for flexible working. This role can be based at any of the following sites: Culham, Oxfordshire. This role requires employees to complete an online Baseline Personnel Security Standard (BPSS) , including The Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data. The Role Are you looking for an exciting opportunity to make a difference? Join our team and contribute to the future of fusion energy. As Plasma Operations Physicist , you will play a pivotal role in plasma operations activities in present and future fusion devices, including fusion power plants. You will join a world-class team and support MAST-U operations, contribute to the operations of future machines such as STEP, and travel to other plasma machines around the world to learn and share operational knowledge. The job holder is expected to develop an area of expertise with tokamaks and plasma operations while also developing a general understanding of how future machines will operate in their full life cycle. Experience in areas such as (but not restricted to) plasma control, diagnostics, auxiliary heating, plasma physics, modelling or other operational areas (e.g. accelerators, intense lasers) would be ideal candidates for this role. Job Responsibilities: • Conduct research in plasma operations and plasma physics in the experimental campaigns in UKAEA programmes, such as MAST-U or international facilities. - Support the Responsible Officers of control or protection systems in present or future devices, as required. - Attend appropriate forums as an expert in plasma operations. - Learn and perform operational control room roles. - Work together with UKAEA specialists in the design and development activities for existing and new devices, such as STEP. - Support experts in providing advice on plasma operations that influence UKAEAs corporate strategy. - Support plasma operations activities led by the plasma operations experts and internal UKAEA committees and panels. - Take part in external collaborations where appropriate. - Participate in experimental programmes (e.g. WPTE EURO fusion) as appropriate, as part of experimental teams. Qualifications Essential Requirements: • PhD (or equivalent experience) in physics or a fusion-related engineering field. - Desire to develop skills in fusion operations. - Understanding of fusion physics. - Readiness to conduct research and take part in research teams. - Good verbal and written communication skills. - A good team player ready to work in national and international teams. Additional Information For a full list of benefits and to apply, select the apply button to be taken through to the UKAEA careers pages. UKAEAs mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, and inclusion and strive to ensure fair representation across our workforce. We particularly encourage applications from groups currently underrepresented in STEM, including women and individuals from diverse ethnic backgrounds, while ensuring all appointments are made on merit. UK Atomic Energy Authority is committed to being accessible. Please contact us if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information. Please note that vacancies are generally advertised for 4 weeks, but may close earlier if we receive a large number of applications. TPBN1_UKTJ

Senior Systems Engineer - Laser-based systems Location: Oxfordshire £55k-£70k (dep on exp) A fantastic opportunity has arisen for an experienced Senior Systems Engineer to join a leading high-technology R&D organisation specialising in advanced bespoke laser based systems. This role is ideal for a commercially aware systems engineer with strong technical depth, who enjoys leading complex, multi-disciplinary projects from concept through to delivery. You will play a key role in the definition, design, integration, and validation of bespoke, high-precision laser systems used across cutting-edge industrial and research applications globally. You will be joining a highly skilled engineering team working with state-of-the-art laser technology in a company known for innovation and technical excellence. With continued growth and strong market demand, this is an excellent opportunity to take ownership of complex systems and make a real impact on product development and business success. The role – Senior Systems Engineer Act as the technical bridge between engineering, sales, and customers Support commercial activities including technical proposals, system costing, and tender responses Lead system integration and validation, ensuring performance, reliability and compliance Capture and manage customer requirements, translating them into clear technical specifications Perform system modelling, trade-off analysis, and optimisation Troubleshoot complex system-level issues and drive root-cause analysis Contribute to new product development and continuous improvement initiatives Collaborate closely with multidisciplinary teams (mechanical, optical, electrical, software) Requirements – Senior Systems Engineer Degree in Engineering or Physics (Systems, Mechanical, Electrical, Optical or similar) Strong experience in systems engineering and integration of complex equipment Hands-on experience with laser systems. Solid understanding of: System architecture and system-level design, Optics and laser-material interactions and motion systems and automation/control systems Ability to diagnose and resolve complex technical issues Strong communication skills and ability to work across teams and with customers Commercial awareness and willingness to support sales / business development activities Interest? If so, get in contact with Adam Mayne at Vector Recruitment Ltd on (phone number removed) or (url removed)

Academic Lead needed to teach Physics/Engineering, guide university applications, and mentor students in London.

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Warehouse Operative (Adhoc Shifts) Location: Kidlington Pay Rate: £13.Shifts: Sunday to Thursday, 5:30pm – 2:30/3:30am Contract Type: Temporary (Adhoc) Pertemps are currently recruiting on behalf of a well-established and reputable company based in Kidlington.We are seeking reliab

Warehouse Operative - Spare Parts Despatch Chalgrove, Oxfordshire (OX44) Full-Time | Monday to Friday 8:30am - 5:00pm We are currently recruiting for an experienced Warehouse Operative to join a busy and growing operation in Chalgrove, Oxfordshire.This is an excellent opportunity for a motivated a

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Warehouse Operative AM shift - Kettering At Job&Talent, we are recruiting for a Warehouse Operative AM shift to work with a leading logistics provider in Kettering.This role is essential for maintaining efficient operations within a fast-paced distribution environment, ensuring that customer orders

Adecco is seeking a Warehouse Operative (FLT Driver) in Peterborough.The role involves receiving and processing deliveries, operating Counterbalance and Reach Truck forklifts, and ensuring all goods are checked accurately.Candidates must have a valid Counterbalance Forklift Licence and relevant expe

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