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A provider of unique instrumentation for the scientific community are looking for a new Systems Engineer with a specialism in Electronics, to join their team of expert problem solvers and help build technology enabling cutting edge research in multiple areas. \n \n This is a highly challenging and rewarding role with a varied set of tasks and responsibilities, providing endless opportunities for learning and development. \n \n The company provide a great deal of flexibility around working pattern and also offer an excellent benefits package including a high annual leave entitlement and enhanced pension contributions. \n \n The Systems Engineer role is a hands-on position, focused on the integration of electronics hardware across a range of instrumentation, but with a multidisciplinary approach, working closely with other Engineers and Scientists to ensure the hardware, software and mechanical components knit together seamlessly. \n \n The ideal Systems Engineer will be someone who enjoys technical problem solving and understanding how all the elements of a system piece together. You should have a good degree in Physics or Electronic Engineering and at least a couple of years work experience where you have had the opportunity to work on the design, validation and debugging ofelectronic systems. \n Bond Williams Professional Recruitment are an equal opportunity employer and operate as an Employment Business and Recruitment Agency

Software Engineer (AWS, Python, C#/C++, CFD/FEA) \n Oxford - 3-4 days per week in office. \n £45000 - £68000 + Package. \n - Must have a Computing/STEM Degree (2:1 or higher). \n - Can work in their Oxford head office 3-4 days week. \n - Must have experience with AWS / Distributed Computing and Applied/Mechanical Engineering \n Your new company \n You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components/instruments are designed. \n This role would essentially suit someone with a passion for Mechanical Engineering/Physical Modelling with commercial Software Development experience - you must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. \n Crucially we are looking for experience with AWS Cloud / Distributed Computing to be considered. \n Your new role \n In this role you'll be tackling engineering challenges that most organisations simply can't touch and building proprietary software that makes a difference in the world. You will thrive in an environment where new challenges appear daily and innovation is the expectation. \n Your role will involve developing core modules within the Engineering design platform, and integrating modules into a cloud compute environment for a team that runs Agile. You'll wrap commercial simulation tools, integrate everything into automated workflows and help streamline complex engineering processes through high quality automation. The right person will be motivated and hungry to solve first-of-their-kind challenges. \n With the rapid expansion and new investment into the company it's an exciting time to be joining with solid progression opportunities. You're also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech, automotive, aerospace and engineering brands. \n What you'll need to succeed \n We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline - ideally from a Russell Group University. \n We need 2-8 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you'll have worked with Vue/Django, JavaScript/Typescript. \n You should have Distributed Computing experience, ideally in an AWS environment and working with Cloud Architecture to apply for this role. this will be supported by a mix of Kubernetes cluster experience, PostgreSQL and Linux platform background. \n You'll have a strong knowledge of software design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience to help guide the team and confidently push back when needed is essential. \n Experience in a Mechanical Engineering environment will stand out with some exposure to Computional Fluid Dynamics (CFD) or Finite Element Analysis (FEA). \n What you'll get in return \n The company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site. \n What you need to do now \n To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director on . \n At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. \n \n Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Professional Services Engineer \n About the Company \n We're recruiting for a high-performing, growing MSP in Oxford with a strong reputation for delivering quality technology solutions to its clients. \n This is a great opportunity to join an ambitious technical team, working across a broad range of on-premise, cloud and hybrid infrastructure projects. \n Key Responsibilities \n\n • Scope, design and deliver infrastructure projects.\n, • Work with clients to understand requirements and recommend solutions.\n, • Deliver projects across servers, networking, telephony, cloud and wider infrastructure.\n, • Design and implement hybrid infrastructure environments.\n, • Manage projects from initial planning through to completion.\n, • Produce technical documentation and project plans.\n, • Work closely with clients and internal teams to ensure successful delivery.\n\n Skills & Experience Required \n We're open to engineers at Junior, Mid-Level and Senior stages, so the exact experience required will depend on your level. \n You'll ideally have experience with some combination of: \n\n • Microsoft technologies, including Windows Server and Microsoft 365\n, • Azure / cloud services\n, • Server infrastructure and virtualisation\n, • Networking, firewalls and connectivity\n, • Telephony / VoIP / unified communications\n, • Hybrid infrastructure environments\n, • Infrastructure migrations, upgrades or deployments\n, • Technical project delivery within an MSP or client-facing environment\n\n For junior candidates, strong technical fundamentals and a genuine desire to move into project delivery are more important than having experience across the full technology stack. \n For senior candidates, we're looking for proven experience in solution design, project ownership and client-facing technical delivery. \n Most importantly, you'll be a problem solver who enjoys getting stuck into projects, learning new technologies and seeing a solution through from design to delivery. \n What's on Offer \n\n • £35,000-£50,000 salary, depending on experience\n, • Hybrid working\n, • Join a growing, high-performing MSP\n, • Exposure to a broad range of infrastructure and cloud technologies\n, • Varied client projects\n, • Excellent opportunity for technical development and progression\n, • A collaborative, supportive engineering team\n, • The opportunity to take ownership of end-to-end infrastructure projects\n\n If you're an infrastructure engineer looking for a role where you can design, build and deliver rather than simply maintain, this could be a great next move.

Learning & Development Manager \n \n This company is looking for a curious, people-focused Learning & Development professional to help shape how their teams learn, grow and build the capabilities they need for the future. \n You’ll work closely with managers and colleagues across the business to understand development priorities, design engaging learning experiences and help people take ownership of their professional growth. You’ll have a particular interest in the human side of performance — including adaptability, resilience, self-awareness and curiosity — alongside an awareness of how technology and new ways of working are changing the skills organisations need. \n \n What you’ll be responsible for \n \n Building skills and career development \n\n • Identify emerging capability requirements and translate them into practical development priorities.\n, • Own and evolve our organisational skills framework, covering both technical and interpersonal capabilities.\n, • Work with managers and colleagues to maintain an accurate picture of individual strengths, development areas and aspirations.\n, • Develop resources that help teams identify colleagues with particular expertise and facilitate knowledge sharing.\n, • Introduce effective ways of assessing capability, combining self-assessment, manager and peer input, and digital assessment tools.\n, • Develop and maintain career pathways that clearly explain the experience, knowledge and capabilities required at different stages of progression.\n, • Support colleagues in creating meaningful Personal Development Plans and ensure these remain active and relevant.\n, • Embed development conversations and evidence of learning into performance, objective-setting and review processes.\n\n \n Designing engaging learning experiences \n You’ll take a broad view of what learning can look like. This could include: \n\n • Coaching and mentoring\n, • Stretch assignments and project opportunities\n, • Secondments and temporary role changes\n, • Peer learning and knowledge-sharing sessions\n, • Digital learning and e-learning\n, • Short videos, podcasts and other bite-sized content\n, • Conferences, workshops and external courses\n, • Dedicated study or development time\n, • Self-directed learning and reflection\n\n \n You’ll evaluate what works, gather feedback from participants and use the findings to continuously improve our approach. \n \n You’ll also keep up to date with emerging learning practices, platforms and technologies — including developments in AI and digital productivity — and identify opportunities to bring useful new approaches into the organisation. \n \n Managing learning operations \n \n Alongside programme development, you’ll make sure the day-to-day learning infrastructure runs smoothly. This will include: \n \n\n • Keeping learning records, resources and documentation accurate and up to date.\n, • Supporting the administration and effective use of our learning platform.\n, • Monitoring participation, completion and engagement.\n, • Producing reports and insights to demonstrate the impact of development activity.\n, • Improving processes to make learning easier and more accessible for colleagues.\n, • Communicating learning opportunities and encouraging participation across the organisation.\n\n \n How we’ll measure success \n Your impact will be visible through: \n\n • Increased participation and engagement in development opportunities.\n, • Evidence of improved skills and capability over time.\n, • High-quality learner feedback and satisfaction.\n, • Stronger employee survey results around learning, development and career progression.\n, • Clear visibility of current and future organisational capability requirements.\n, • Meaningful development plans and career pathways.\n, • Learning activity that demonstrably contributes to individual and business performance.\n\n \n About you \n \n You don’t necessarily need to have followed a traditional L&D career path. We’re interested in people who have experience developing others and creating effective ways for people to learn, whether that has come through learning and development, management, education, operations, project coordination or another people-focused environment. \n \n You’ll be someone who: \n\n • Is genuinely interested in how people learn, develop and perform at their best.\n, • Is curious about human behaviour, mindsets and subjects such as resilience, adaptability and self-awareness.\n, • Enjoys discovering, creating and curating useful learning content.\n, • Takes a proactive approach to their own learning and development.\n, • Is comfortable using data and feedback to understand whether something is working.\n, • Has an interest in emerging technology and has explored practical applications of AI and digital tools.\n, • Can manage multiple projects, priorities and stakeholders effectively.\n, • Communicates clearly and confidently, both verbally and in writing.\n, • Enjoys experimenting with new ideas rather than relying solely on established approaches.\n, • Is motivated by helping other people build confidence, capability and career opportunities.\n\n \n What’s on offer \n\n • Permanent position\n, • 22.5–37.5 hours per week — applications are welcome from candidates seeking either part-time or full-time hours. Please indicate your preference in your application.\n, • Full-time hours: Monday to Friday, 9:00am–5:30pm\n, • Three-month probationary period\n, • Successful applicants will be required to complete our standard background screening process. Further information about our screening process and recruitment of ex-offenders is available through our relevant policies.\n\n \n Our clients goal is to help students make confident decisions about their futures and realise their potential in the world of work. \n \n They combine technology, content and practical tools with strong partnerships across the education and employment landscape. They work with students alongside employers, universities, schools and technology partners to make the transition into the world of work more accessible and effective. \n \n It's not simply about connecting a student with a job or helping an employer find a candidate. It’s about helping young people understand their options, discover opportunities and develop the skills and confidence they need to build successful careers.

Bioinformatician / Computational Biologist \n \n About Us \n We’re a team of highly skilled community of 40+ scientists on a mission to create the world’s best guilt-free, sustainable meat. The meat we make is cultivated meat just like real meat, only made differently. \n \n Our team develops in silico models to transform how we design and run omics-based screening strategies for the discovery of novel biological targets in our cell lines and to optimise media formulations. We’re looking for a skilled individual to apply the latest bioinformatics and biological data science methods, partnering with our Cell Sciences Team and the wider organisation to develop the next generation of stable cell lines with real-world impact. \n \n About the Role \n As a specialist in bioinformatics and computational biology, you'll bring deep expertise in large-scale omics data and modelling methods and take a leading role in building the tools we use to make sense of high-throughput biological data. As an integral member of a cross-disciplinary, nimble team of biologists and computational scientists, you’ll lead the effort to build a functional genomics platform that guides target discovery and validation driving the development of Ivy Farm’s next-generation cell lines. \n \n What you’ll do \n\n • Collaborate closely with the Cell Sciences Team to understand biological context and requirements\n, • Design large-scale experiments within multidisciplinary teams, using computational biology methods to drive the development of next-generation cell lines\n, • Lead the analysis of complex datasets from across our scientific disciplines, using advanced statistical and computational methods to turn them into actionable insight. Guide how results are interpreted and applied, keeping them grounded in experimental design and biological context, and feed them into strategic decisions.\n, • Drive improvements in computational pipeline architecture to meet evolving R&D demand while maintaining production-quality and reproducibility standards with your code.\n, • Provide documentation and guidance on the interpretation and application of results\n, • Communicate actionable insights from large-scale analytical projects to the wider organisation\n, • Work with other members of the Digital Biology Team to deliver a unified strategy\n, • Stay at the cutting edge of bioinformatics, AI/ML for biotech, computational biology, and industry standards\n\n \n What We’re Looking For \n\n • Strong background in bioinformatics, computational biology, or a related quantitative discipline: a postgraduate degree or equivalent industry experience, with a track record of applying computational methods to real biological problems\n, • Hands-on experience analysing large-scale, high-throughput multi-omics data (transcriptomics, proteomics, metabolomics): from raw data QC and processing through to differential analysis, integration across data types, and biological interpretation\n, • Mechanistic modelling and AI/ML pipeline development experience: building, training, and validating models that generate testable biological hypotheses, and understanding when a mechanistic, data-driven, or hybrid modelling approach fits the question\n, • Bioprocess modelling and culture media optimisation: experience modelling cell growth, metabolism, or productivity to inform media formulation and scale-up\n, • Proficiency in a scientific programming language (e.g. Python and/or R) and version control: writing clean, well-tested, maintainable code and collaborating through Git in a team setting\n, • Ability to translate biological questions into computational approaches: deliver results back into actionable biological insight scoping the right analysis with wet-lab colleagues and communicating findings in biological terms\n, • Strong communication skills and a genuinely collaborative, cross-disciplinary mindset: comfortable working at the interface of biology and computational modelling, and explaining complex results clearly to both technical and non-technical audiences\n\n \n Nice to Have \n\n • Experience building or maintaining reproducible analysis pipelines: using workflow managers and environment/containerisation tools so that analyses are portable, auditable, and repeatable across the team\n, • Experience executing computational workflows in a cloud computing environment: running scalable analyses on platforms such as AWS, GCP, or Azure, with an eye to cost, performance, and reproducibility\n, • Genome scale metabolic modelling experience: reconstructing, curating, and simulating GeMs using cutting edge and novel constraint-based methods, and integrating omics data to build context-specific models that inform cell line engineering and media design\n, • Pathway and signalling network modelling: inferring pathway activity from omics data and building mechanistic or logical models of signalling networks to predict downstream consequences of a knockout, knockdown, or media change\n, • AI/ML experience: applying machine learning to high-dimensional biological data, from feature selection and predictive modelling to interpreting what a model is actually telling you about the underlying biology\n, • Use of agentic AI for improved productivity: using LLM-based coding assistants and agentic tools to accelerate routine analysis, prototyping, and documentation, with sound judgement about where they help and where they need checking\n, • App building experience to better explain and display results to internal stakeholders: developing lightweight interactive tools or dashboards that let colleagues explore results for themselves rather than waiting on a static report\n\n \n Why Join Ivy Farm \n You'll be part of a mission-driven team working at the forefront of cultivated meat technology, helping build a more sustainable food system. This is a genuine opportunity to grow your skills in a cutting-edge manufacturing environment as we scale toward commercial production. \n \n Why Join Us? \n\n • At Ivy Farm, we value innovation, collaboration, and sustainability\n, • You can expect a dynamic, inclusive environment\n, • Opportunities for career growth and continuous learning\n\n \n Your Impact \n By joining us, you’ll help revolutionise the food industry, creating sustainable, ethical meat and making a real difference to the planet with food security. \n \n Practical details: \n\n • Competitive salary commensurate to experience\n, • 33 days leave (incs 8 public bank holidays)\n, • Company pension contribution 5%\n, • Private health care\n, • Bonus\n, • Shares\n, • EAP\n, • Oodles of coffee, tea and snacks\n, • Company events throughout the year\n, • Fabulous super cool office environment, we think that, but we’re biased :)\n\n \n 🌱 Ivy Farm Technologies is an equal opportunities employer that believes and welcomes creating a workplace where everyone feels included and valued, no matter who they are.

Senior Machine Learning Scientist \n \n Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. \n We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. \n \n Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing. \n \n We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. \n \n Contract: Permanent \n Location: Oxford, hybrid preferred, though we'd consider fully remote for the right person \n \n The role \n \n This is a genuine dual role: real line management and delivery leadership across the Lab's ML engineering function, plus a meaningful hands-on contribution to technical delivery yourself. You'll manage a growing team of ML Engineers and Scientists, shape ML engineering practice across the Lab, and stay close enough to the work to actually lead it technically, not just report on it. \n \n What you'll do \n\n • Line-manage and develop ML engineers: coaching, mentoring, feedback, and input into hiring and onboarding.\n, • Stay hands-on with technical delivery on selected projects, alongside your leadership responsibilities across multiple engagements.\n, • Work with the Lead ML Scientist and Principal Engineer to build ML engineering best practice across the Lab.\n, • Work closely with the Project and Account Management teams to design and scope ML solutions that drive value for our customers.\n, • Lead multidisciplinary teams of ML engineers, scientists, and software engineers, and support solution design so systems are robust and scalable.\n, • Provide oversight and quality assurance across concurrent projects, flagging technical and delivery risks early.\n, • Lead use case discovery and support pre-sales work alongside the commercial team.\n, • Drive reuse of shared frameworks and standards across projects, and communicate technical risk clearly to non-technical stakeholders.\n\n \n What you'll bring \n\n • A STEM degree or equivalent practical experience, plus 7+ years in ML engineering, software engineering, or a related technical role, including experience leading technical work across teams.\n, • A strong software engineering background with real production-system delivery experience.\n, • Experience managing or leading ML engineers or technical contributors in a delivery-focused setting.\n, • Comfort supporting pre-sales or technical discovery work alongside commercial teams.\n, • The judgement to lead solution design and assure engineering quality without being the primary hands-on contributor on every project.\n, • Strong communication skills: you'll need to challenge stakeholder expectations sometimes, not just relay them.\n\n \n Bonus points: experience establishing ML engineering/MLOps best practice from scratch, background in regulated or enterprise environments, or a track record of driving reuse through shared frameworks and tooling. \n \n Why join us \n\n • This is a genuine build-it role: shape how ML engineering is done as the Lab scales up its delivery capability.\n, • You'll stay technical. This isn't a management role that pulls you away from the work, it's built to keep you in it.\n, • Direct line to the Director of AI Delivery and real input into use case shaping and pre-sales, not just delivery execution.\n, • Permanent role, real team, real influence over how the Lab's engineering function grows from here.\n

\n Location: Oxford or London (Hybrid) The Mission: Why We Exist\n Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics. \n Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time. Role Purpose\n Genomics runs on multi-trillion-row, petabyte-scale genetic and health data. Mystra is the analytical data platform that makes that usable, and MystraAI is the agentic layer we are building on top of it. This is a Staff-level role that owns the reliability, performance, security and integrity of that infrastructure end-to-end — and sets the technical direction that other teams build on. \n You will lead the analytical data platform and our Data-as-a-Service offering, shape the data foundations behind MystraAI, and line-manage a small team of engineers while staying deeply hands-on. If you want your work to sit at the intersection of large-scale infrastructure and genuinely meaningful science, this is it. A Day in the Life\n The role spans the full depth of the platform — from low-level infrastructure reliability and database internals up to the systems that serve data across the product. On any given day you might be: \n \n • \n Architecting, tuning and operating multi-tenant ClickHouse or equivalent OLAP database clusters at multi-trillion-row, petabyte scale — sharding and replication, materialised views, merge and query optimisation, tenant isolation and cost/performance trade-offs. \n • \n Owning SLOs, observability, capacity planning and incident response for data-intensive systems and pipelines, alongside the orchestration and job execution that power them. \n • \n Shaping Data-as-a-Service as a real product — a secure, multi-tenant, immutable release architecture, with data made discoverable at scale through catalogue and ontology-driven search, in partnership with the data team. \n • \n Powering agentic AI from the data platform — scaling the data foundations behind MystraAI and owning secure, tenant-scoped access for agents, partnering closely with the ML team on how our AI systems perform. \n • \n Treating security as a first-class architectural concern — tenant isolation, secrets and credential management, and least-privilege access to systems, tools and data. \n • \n Setting technical direction, mentoring and line-managing a small team of IC2/IC3 engineers, and influencing decisions well beyond your own team. \n Who You Are\n You are a recognised specialist who leads through expertise — principal-level individual-contributor depth combined with the judgement to set standards others follow. You will bring: \n \n • \n Large-scale OLAP / ClickHouse. Deep experience designing and tuning multi-tenant ClickHouse at extreme scale. You engage with the engine at source level rather than as a black box — and ideally have contributed code upstream. \n • \n Reliability engineering for data platforms. You bring true SRE discipline — SLOs, observability, capacity planning and incident response — to analytical data systems and pipelines. \n • \n Data-as-a-Service productisation. You think in terms of data as a product: secure, multi-tenant, immutable releases, and discoverability at scale. \n • \n Agent-ready data. You understand what it takes to expose platform data to agents safely and at scale — access patterns, tenant isolation, sensible guardrails — and have scaled data infrastructure under demanding workloads. \n • \n Multi-tenant security. You design for isolation, least-privilege access and sound secrets management from the outset. \n • \n Technical leadership. You drive direction and innovation across a platform, mentor engineers, and can line-manage a small team without losing your own hands-on edge. \n Your Package\n We are committed to providing a transparent, supportive, and rewarding work environment. Compensation & Growth\n \n • \n Competitive Salary: Salaries are externally benchmarked annually to ensure top-of-market compensation. \n • \n Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal. \n • \n Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success. \n Wellbeing & Time Off\n \n • \n Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end. \n • \n Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance. \n • \n Enhanced Leave: Enhanced paid family leave to support all new parents. \n Work Environment & Culture\n \n • \n Flexible Working: Hybrid Working (e.g., From our London, Oxford Office) \n • \n Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you. \n • \n Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate. \n • \n Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs. \n \n We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. \n Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them. \n #J-18808-Ljbffr

Senior Machine Learning Scientist \n \n Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. \n We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. \n \n Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing. \n \n We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. \n \n Fixed Term Contract: 18-month fixed-term contract from signing (running to at least Feb 2028), with a view to extending (to 3 years) or moving to permanent as a second round of programme funding is confirmed \n \n Location: Oxford, hybrid preferred, though we'd consider fully remote for the right person \n \n The role \n \n You'd be joining CODAS, our flagship sovereign AI programme, built in partnership with Japanese public and private sector organisations and academic collaborators at Oxford and UCLA. The goal is a privacy-preserving generative AI ecosystem that protects personal and sensitive data by design, through data residency, anonymisation, secure deployment, and privacy techniques that hold up at both training and inference time. \n \n As a Senior Machine Learning Scientist, you'll take technical ownership of research workstreams within CODAS. Rather than just executing a brief, you'll set the experimental direction yourself and push approaches like differential privacy, federated learning, and secure inference beyond what's already out there. \n \n What you'll do \n\n • Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results.\n, • Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques.\n, • Turn research into proof-of-concept systems and deployable components that feed directly into programme deliverables.\n, • Publish, contributing to papers, technical reports, and conference talks that put the Lab's work in front of the wider AI community.\n, • Mentor other ML scientists and research associates working alongside you on the programme.\n, • Work directly with partner organisations to understand real technical constraints, not just theoretical ones.\n\n \n What you'll bring \n\n • A Master's or PhD in Computer Science, ML, Statistics, Maths, or equivalent experience, plus 5+ years in applied ML/AI research or development.\n, • A genuine track record in privacy-preserving ML, generative AI, LLMs, or federated learning, since this isn't a "learn on the job" role.\n, • Strong Python engineering skills: ML frameworks, version control, CI/CD, reproducible experiments.\n, • Comfort working across the full ML lifecycle, from first prototype to something that can actually be deployed.\n, • Experience mentoring others and the communication skills to explain complex trade-offs to non-technical stakeholders.\n\n \n Bonus points: differential privacy or secure computation experience, LLM/agentic AI/frontier AI evaluation work, published research, or experience in regulated industries (insurance, financial services, public sector). \n \n Why join us \n\n • Real technical ownership on a genuinely novel, high-profile programme, not a support role on someone else's research.\n, • Direct exposure to Oxford's academic network and CODAS's international partners, not just your immediate team.\n, • Work that ships. This isn't research for its own sake; it becomes part of a live sovereign AI ecosystem built with Japanese public and private-sector partners.\n, • This is a fixed-term contract tied to CODAS's current funding cycle, but there's a genuine intent to extend and move roles to permanent as a second funding round is confirmed. It isn't a contract designed to end.\n

Professional Services Engineer About the Company We're recruiting for a high-performing, growing MSP in Oxford with a strong reputation for delivering quality technology solutions to its clients. This is a great opportunity to join an ambitious technical team, working across a broad range of on-premise, cloud and hybrid infrastructure projects. Key Responsibilities Scope, design and deliver infrastructure projects. Work with clients to understand requirements and recommend solutions. Deliver projects across servers, networking, telephony, cloud and wider infrastructure. Design and implement hybrid infrastructure environments. Manage projects from initial planning through to completion. Produce technical documentation and project plans. Work closely with clients and internal teams to ensure successful delivery. Skills & Experience Required We're open to engineers at Junior, Mid-Level and Senior stages, so the exact experience required will depend on your level. You'll ideally have experience with some combination of: Microsoft technologies, including Windows Server and Microsoft 365 Azure / cloud services Server infrastructure and virtualisation Networking, firewalls and connectivity Telephony / VoIP / unified communications Hybrid infrastructure environments Infrastructure migrations, upgrades or deployments Technical project delivery within an MSP or client-facing environment For junior candidates, strong technical fundamentals and a genuine desire to move into project delivery are more important than having experience across the full technology stack. For senior candidates, we're looking for proven experience in solution design, project ownership and client-facing technical delivery. Most importantly, you'll be a problem solver who enjoys getting stuck into projects, learning new technologies and seeing a solution through from design to delivery. What's on Offer £35,000-£50,000 salary, depending on experience Hybrid working Join a growing, high-performing MSP Exposure to a broad range of infrastructure and cloud technologies Varied client projects Excellent opportunity for technical development and progression A collaborative, supportive engineering team The opportunity to take ownership of end-to-end infrastructure projects If you're an infrastructure engineer looking for a role where you can design, build and deliver rather than simply maintain, this could be a great next move. TPBN1_UKTJ

Join us at EIT At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas. • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. Welcome to the Plant Biology Institute The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. • Improved plant productivity, both indoors and outside, • Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides., • Novel decarbonised plant-based production platforms for food and medicines, • Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision. At EIT we are seeking an accomplished leader to serve as Head of Metabolic Analysis and Modelling for the Plant Biology Institute. This pivotal role will shape a newly established and rapidly scaling Plant Biology Institute that aspires to become a global leader in delivering scientific breakthroughs with real-world impact. The successful candidate will establish and lead PBI's metabolic analysis, delivering analytical capabilities and workflows to support PBI's trait and technology research groups. This role requires close collaboration with research scientists working across a broad range of projects including plant and microbial metabolic engineering, plant breeding, plant phenotyping. The role will require working with other institutional stakeholders to scope, design, equip, and operate a new function within the research institute. • Lead and develop the Institute's metabolic analysis, delivering robust, scalable analytical frameworks to provide metabolite and metabolic modelling analysis to support plant biology research programmes, • Define and implement a strategic vision for integrative metabolic analysis that aligns with the Institute's scientific priorities and long-term goals, • Drive the development and application of predictive models of plant metabolism, resource use, and productivity to inform experimental design and technology development, • Design, implement, and maintain advanced analysis workflows and pipelines for the integration and analysis of multi-omics and high-throughput biological datasets, • Develop reproducible, well-documented, and version-controlled analysis frameworks, supporting transparency, open science, and collaborative research, • Ensure analytical platforms are robust, scalable, and interoperable, supporting both exploratory research and translational applications, • Remain at the forefront of emerging methods in metabolic analysis, metabolic modelling, machine learning, and data-driven biology, identifying opportunities to apply new tools to accelerate discovery, • Work closely with experimental scientists, Group Leaders, and technology teams across all of EIT to co-develop analytical approaches that directly support experimental programmes and strategic research questions in PBI, • Translate complex computational outputs into clear biological insights, enabling informed decision-making across research and translational activities, • Build sustainable capability in metabolic analysis, metabolic modelling and integrative analysis, fostering a culture of scientific excellence, collaboration, and continuous innovation, • Manage resources - including personnel, equipment, and budgets - in coordination with the senior leadership team, • Advanced degree (PhD or equivalent experience) in metabolic analysis, systems biology, computational biology, bioinformatics, data science, applied mathematics, or a related field, • Substantial experience leading metabolic analysis or modelling functions within a research-intensive or scientific environment, • Proven expertise in metabolic modelling, constraint-based modelling, systems biology, or integrative multi-omics analysis, • Strong technical background in programming and data engineering (e.g. Python, Linux environments, workflow management systems, databases, APIs), • Experience designing and delivering scalable, end-to-end analytical solutions for complex biological datasets, • Demonstrated ability to collaborate effectively across disciplines, translating computational outputs into actionable biological and strategic insight, • Track record of building, mentoring, and leading high-performing teams, • Excellent communication and stakeholder engagement skills, with the ability to articulate the strategic value of modelling and analytics to diverse audiences, • Competitive salary + travel allowance + bonus, • Enhanced holiday + options to buy additional days, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme, • Childcare benefit, • Newly constructed, state-of-the-art laboratories and growth facilities, core scientific and operational support, and substantial core funding, • A collaborative research environment with highly skilled team working at the cutting edge of plant science to create commercially sustainable solutions that tackle humanity's biggest challenges, including enabling sustainable agriculture and improving the climate and ecosystem outcomes of food production, • Opportunities for professional development including publication, conferences, IP portfolio creation, spin-out generation, and leadership development Advanced degree (PhD or equivalent experience) in metabolic analysis, systems biology, computational biology, bioinformatics, data science, applied mathematics, or a related field • Substantial experience leading metabolic analysis or modelling functions within a research-intensive or scientific environment, • Proven expertise in metabolic modelling, constraint-based modelling, systems biology, or integrative multi-omics analysis, • Strong technical background in programming and data engineering (e.g. Python, Linux environments, workflow management systems, databases, APIs), • Experience designing and delivering scalable, end-to-end analytical solutions for complex biological datasets, • Demonstrated ability to collaborate effectively across disciplines, translating computational outputs into actionable biological and strategic insight, • Track record of building, mentoring, and leading high-performing teams, • Excellent communication and stakeholder engagement skills, with the ability to articulate the strategic value of modelling and analytics to diverse audiences, • Competitive salary + travel allowance + bonus, • Enhanced holiday + options to buy additional days, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme, • Childcare benefit, Newly constructed, state-of-the-art laboratories and growth facilities, core scientific and operational support, and substantial core funding, • A collaborative research environment with highly skilled team working at the cutting edge of plant science to create commercially sustainable solutions that tackle humanity's biggest challenges, including enabling sustainable agriculture and improving the climate and ecosystem outcomes of food production, • Opportunities for professional development including publication, conferences, IP portfolio creation, spin-out generation, and leadership development #J-18808-Ljbffr

An exciting opportunity has arisen for an AI System Architect to join a pioneering startup in Oxfordshire, England, that is transforming the landscape of computing through the development of an AI accelerator. Design and architect systems or chips specifically for machine learning training and infer

Bending Spoons is seeking a talented, driven data professional to design and improve data pipelines, ensure data quality, and develop internal data tooling that empowers product teams. You will partner with engineers to validate data, build robust analytics, and use AI to surface insights that drive business decisions. The role offers growth in a high-ambition environment with flexible hours, remote work options, and substantial learning support. #J-18808-Ljbffr

The role will support the development of a privacy-preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment protocols and principles, as well as model-based data protection achieved during both training and inference time. Working within a multidisciplinary and multi-partner environment, the postholder will research technical concepts core to the program and contribute towards developing them into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab and its collaboration with CODAS and other project partners. Additionally, the postholder will create publishable material based on the work carried out in the program, and attend events such as conferences and workshops to disseminate the progress made. • Lead or substantially contribute to technical research workstreams within assigned CODAS tracks, setting experimental direction and ensuring delivery of high-quality outputs within programme timelines., • Design, develop and validate machine learning models, algorithms and approaches for privacy-preserving generative AI, including areas such as differential privacy, federated learning, and secure inference., • Serve as a technical research lead on assigned workstreams; design novel approaches or adapt existing methods to meet programme objectives beyond the current state of the art., • Contribute to the translation of research outcomes into proof-of-concept systems, toolkits and deployable components that form part of the programme deliverables., • Work with internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities., • Mentor and support junior colleagues (ML engineers and research associates), scoping and delegating tasks aligned to their development and the needs of the programme., • Contribute to scientific publications, technical reports, conference presentations and other dissemination activities in support of the programme’s commitment to advancing the field., • Champion best practices in ML research, software design, experimental rigour, reproducibility and responsible AI across the team., • Communicate complex technical findings and trade‑offs clearly to both technical and non-technical stakeholders, including partner organisations and programme leadership., • A Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a closely related discipline, or equivalent research or industry experience., • 5+ year work experience in relevant field., • A strong and demonstrable track record in applied ML/AI research or development, with recognised expertise in one or more relevant areas such as privacy-preserving ML, generative AI, large language models, or federated learning., • Deep understanding of modern ML methods, their assumptions and limitations, and the ability to reason about appropriate application in novel or constrained settings., • Strong software engineering foundations in Python, including ML frameworks, version control, CI/CD, and reproducible experimental practices., • Strong skills handling challenging data that requires understanding, preparation, organisations and augmentation before use for the purposes of ML/AI research or development., • Experience working across the full ML lifecycle — from problem framing, experimentation and prototyping through to evaluation, integration and deployment., • Ability to contribute to scientific publications, technical reports, and the dissemination of research findings to a wide audience., • Proven ability to mentor or support junior colleagues and scope technical work aligned to team and programme goals., • Strong communication skills, with the ability to explain complex technical concepts and trade‑offs clearly to both technical and non-technical audiences., • Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders., • Experience with privacy-preserving ML techniques such as differential privacy, federated learning, secure computation, or membership inference resistance., • Experience with generative AI systems, large language models, agentic AI approaches, or evaluation methodologies for frontier AI., • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tooling., • Contributions to open-source AI or ML projects, or a track record of published research in relevant areas., • Experience working in a multi-partner programme involving industry, government or academia., • Experience in consulting, client-facing AI delivery, or regulated industry contexts such as insurance, financial services, or public-sector programmes., • Familiarity with agentic systems design, MCP/A2A protocols, or inference-time privacy controls., • Familiarity with innovating with agentic-driven workflows and toolsets for research and prototyping tasks, such as Claude, Claude-Code, CoPilot, etc., • 28 days annual leave with the option to buy/sell up to 5 days holiday., • Private Medical & Permanent Health Insurance., • 4× Annual salary Life Assurance., • Health and wellbeing benefits including money back on health-related expenses (optician, dental, physio, etc.), flu jab vouchers, virtual GP service, employee assistance programme, and enhanced family‑friendly policies (baby bonus & pension advisory service)., • Financial and lifestyle support such as financial flexibility through Wagestream, annual season ticket loans, cycle scheme, and £250 towards driving lessons for you and dependents., • Subject to company performance and completion of probation. Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND‑E, equal opportunity is more than a policy—it’s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We’re committed to making the process accessible and are happy to help. #J-18808-Ljbffr

At Bending Spoons, we're striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards. In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other. For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That's our promise to such a candidate. • Design and improve data pipelines. Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks., • Ensure data correctness and scalability. Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems., • Develop internal data products and tooling. Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company., • Support platform-wide decision-making. Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking., • Leverage AI to accelerate work and uncover insights. Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends., • Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter., • Drive. You're extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar., • Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You're reliable, honest, and transparent., • Proficiency in English. You read, write, and speak proficiently in English., • Incredibly talented, entrepreneurial teams. You'll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field., • An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential-then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you've got what it takes, you'll soon be playing an essential role in major projects, too., • All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work., • Competitive pay and access to company equity at a discount. Typical annual salary offers range from £85,797 to £151,436 in London and from €66,065 to €107,837 elsewhere in Europe. The lower end of these ranges applies to candidates with little or no relevant experience, while exceptionally experienced candidates may receive offers of up to £316,052 in London or €240,330 elsewhere in Europe. Candidates offered a permanent contract may choose to receive part of their compensation in discounted company equity. Permanent or fixed-term. Full-time or part-time. Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries. In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process. Some people hold back because they feel they lack experience or have an "imperfect" CV. If you like the role and believe you could excel over time, don't self-reject. All applications go through our careers page, which is the only way to be considered. If you pass our screening, you'll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here. We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities-please let us know through this form. If you've applied before but didn't receive an offer, we recommend waiting at least one year before applying again. Bending Spoons is a demanding environment. We're extremely ambitious and we hold ourselves - and one another - to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment. To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It's the best way to rapidly absorb our company culture and build trust with your new teammates. We'll support you with generous travel and accommodation assistance. After that, you're welcome to work from one of our offices, or remotely from approved countries - depending on what we agree at the offer stage. #J-18808-Ljbffr

We’re AND‑E – one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first‑class leadership credentials to bring our people with you on this journey and take us to the next level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands‑on contribution to technical delivery, acting as a part‑time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre‑sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non‑technical stakeholders. If you’d like to be part of our brighter future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. • Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function., • Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements., • Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab., • Lead multidisciplinary teams of ML engineers, ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement., • Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab., • Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable., • Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate., • Contribute hands‑on to delivery where required, particularly on complex or high‑priority engagements., • Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders., • Support pre‑sales activity in collaboration with the commercial team, including technical scoping and solution shaping., • Partner with the Project Management function to scope, plan and support delivery engagements., • Oversee the maintenance and continuous improvement of deployed solutions., • Drive reuse of shared frameworks, standards and tooling across projects., • Communicate technical decisions, risks and concerns clearly to non‑technical audiences., • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience., • Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production‑grade ML systems and leading technical work across teams or projects., • Strong software engineering background, with experience building and delivering machine learning or data‑driven systems in production or near‑production environments., • Experience leading or managing machine learning engineers or other technical contributors in a delivery‑focused setting., • Experience supporting pre‑sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams., • Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML‑enabled systems., • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement., • Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse., • Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non‑technical stakeholders., • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems., • Ability to communicate technical decisions, risks and trade‑offs clearly to both technical and non‑technical audiences., • Strong problem‑solving, prioritisation and judgement in ambiguous, fast‑moving environments., • Experience contributing hands‑on to technical delivery while also leading multiple projects or workstreams in parallel., • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function., • Experience in regulated, enterprise or operationally complex environments., • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards., • Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND‑E: • Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards., • Unmatched Work‑Life Balance., • Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported – including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues’ health, wealth, and lifestyle. We offer: • 28 Days annual leave with the option to buy/sell up to 5 days holiday*, • Private Medical & Permanent Health Insurance*, • 4 x Annual salary Life Assurance*, • Health and Wellbeing Benefits: Including money back on health‑related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family‑friendly policies (baby bonus & pension advisory service), • Financial and Lifestyle Support: Offers financial flexibility through Wagestream, annual season ticket loans, cycle scheme, and £250 towards driving lessons for you and dependents., • Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND‑E, equal opportunity is more than a policy—it’s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We’re committed to making the process accessible and are happy to help. #J-18808-Ljbffr

Archangel Lightworks is a connectivity company building wireless technology to create the space-enabled networks of the future. Were passionate about improving humanitys communications infrastructure and solving some of Earths most critical problems from economic inclusion to climate change. Our start-up is a fast-paced and supportive environment, where you can make your mark as part of a growing team and work on the cutting-edge of innovation. Were looking for a Control Systems Engineer to join our growing team and deliver transformative laser communications technology. You will be responsible for developing, documenting, and testing control systems for ground and space-based optical terminals. Your responsibilities will include: Developing and testing algorithms for control of coarse and fine pointing systems for optical communication, including electrical motors, fast steering mirrors (FSMs), adaptive optics, and a range of optical sensors. Delivering documentation and providing technical support for the Software team to implement the above algorithms. Develop and maintain HIL real-time simulations to test control Software requirements against simulations. Perform trade-off analysis of different control concepts, components, and architectures. Maintain pointing budgets and ensure control systems fulfil systems requirements. Requirements: At least 3 years of relevant commercial experience developing control systems for complex electromechanical, optical, aerospace, or robotic systems. A degree in Control Engineering, Electrical or Electronic Engineering, Robotics, Aerospace Engineering, Physics, or a related technical discipline. Practical experience designing, modelling, implementing, and testing control algorithms for dynamic systems. Proficiency with modelling and simulation tools such as MATLAB and Simulink, or equivalent platforms. Ability to translate system-level requirements into control-system requirements, test cases, and verification activities. Strong analytical and problem-solving skills, with the ability to diagnose complex system behaviour using test data and simulations. Desirableadditional skills: Experience developing pointing, acquisition, and tracking systems for optical communications, telescopes, imaging systems, or similar precision applications. Knowledge of coarse and fine pointing architectures, including gimbals, reaction wheels, fast steering mirrors, and piezoelectric actuators. Experience using real-time simulation and test platforms such as Speedgoat, National Instruments, or equivalent systems. Knowledge of model-based design, automatic code generation, and software-in-the-loop testing. Experience working within a start-up, research and development, or rapidly evolving engineering environment. Location:Our office is based in Osney Mead, Oxford. There will be opportunity to work from home as agreed with your line manager. Compensation & Perks: The opportunity to make a difference building cutting edge technology to support a world-changing vision Options for hybrid working and custom arrangements that matter to you 25 days annual leave allowance plus bank holidays Equity options in a growing start-up Investment in you to help you grow, with training resources and budget. Supportive team culture with high levels of ownership and responsibility. Regular socials and weekly team lunch Variety of additional perks including learning and wellbeing app subscriptions. TPBN1_UKTJ

Oxfordshire | Hybrid Working | Full Time Launch Your Career in Digital Learning Are you a creative digital content professional looking to take the next step in your career? Do you enjoy transforming ideas into engaging digital experiences and want to develop your skills in eLearning and multimedia design? We're recruiting for a Junior Digital Content Developer to join a collaborative and supportive team where you'll work alongside experienced developers, receive ongoing mentoring and have the opportunity to progress into a more senior role as your skills develop. This is an excellent opportunity for someone with a strong digital, creative or learning content background who is keen to learn new technologies and build a long-term career within digital learning. The Role Working as part of a growing digital learning team, you'll support the design and development of engaging, accessible digital learning content for a wide range of clients. You'll collaborate with experienced colleagues and subject matter experts to create interactive learning experiences using a variety of creative tools and technologies. Key Responsibilities Support the design and development of engaging digital learning content. Create multimedia assets including graphics, illustrations, video, animation and interactive content. Work with subject matter experts to turn complex information into engaging, easy-to-understand digital content. Assist in developing eLearning modules using tools such as Articulate Storyline 360 and Rise 360 (full training provided where required). Carry out quality assurance testing to ensure content is accurate, accessible and user-friendly. Support the publishing and maintenance of learning content through Learning Management Systems. Contribute ideas to improve digital learning experiences, creative design and development processes. Support demonstrations, prototypes and other digital learning projects. About You We're looking for someone with a creative mindset, strong attention to detail and a genuine interest in digital learning. You may come from a background in: Digital Content Creation Graphic Design Multimedia Design Marketing or Creative Content Learning & Development Instructional or Educational Content Digital Media or Web Content You'll ideally have: Strong visual design and digital content creation skills. Experience using Adobe Creative Cloud, particularly Photoshop, Illustrator, Premiere Pro or After Effects. Experience creating multimedia content such as graphics, video, animation, web content or interactive assets. The ability to interpret complex information and present it in a clear, engaging way. Excellent attention to detail and a quality-focused approach. Strong communication skills and confidence working with colleagues, clients or subject matter experts. Good technical aptitude and enthusiasm for learning new software and technologies. Experience with Articulate Storyline, Rise 360, SCORM, Learning Management Systems, accessibility standards, UX design, HTML/CSS, Moodle or WordPress would be beneficial but is not essential, as training and mentoring will be provided. What's on Offer Hybrid working in Oxfordshire Ongoing mentoring from experienced Digital Content Developers Structured training and career development Opportunity to progress into a Senior Digital Content Developer role Collaborative and supportive working environment Company pension and additional benefits This role would suit someone with strong transferable creative skills who is eager to develop their technical expertise and build a rewarding career within digital learning. We are committed to promoting equality, diversity and inclusion in the workplace. Applications are welcomed from all suitably qualified candidates regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex or sexual orientation. We are happy to discuss reasonable adjustments throughout the recruitment process

We are seeking an experienced leader to drive the evolution of Gigaclear's commercial strategy. This role will focus on building new segmented go-to-market approaches, the supporting pricing architecture, and the development of new revenue streams, working across B2B and B2C markets. You will own the execution of new commercial initiatives, the BAU management of existing products / propositions and the creation of a scalable commercial data architecture to improve commercial & marketing decision making. This is a high impact role and comes at a critical junction in Gigaclear's growth story. The position offers the opportunity to shape the company's commercial strategy and lay the foundations for long-term value creation. Note: this is a hybrid role, so you will need to be comfortable commuting to our Head Office in Abingdon, Oxon, circa 3 days per week. Key Responsibilities Product Proposition & Pricing: Lead product proposition development, pricing strategies, and product innovation to meet market demands and align with customer expectations. Implement geographic / UPRN level pricing to enable the business to protect value and compete more efficiently. Segmentation Strategy: Design and define a segmented commercial model and develop pricing architecture across acquisition, in-life, and out-of contract journeys. Identify and quantify ARPU optimisation opportunities by segment, deliver the plan to unlock benefit. Portfolio & Proposition Strategy: Review and optimise the current portfolio and proposition structure across B2C and B2B. Define a clear future architecture (including speed tiers, bundling & lifecycle pricing) to fit with the segmentation strategy and provide strategic direction to inform the product roadmap (B2B & B2C). Develop New Revenue Streams: Identify and prioritise new revenue opportunities across B2C and B2B markets (e.g. VAS, VoIP, TV/Content, Off-Net, MVNO, Satellite). Build the commercial business cases, go-to-market strategy and oversee implementation working with our CTIO teams. Commercial Data & Decisioning: Define requirements for commercial data architecture to support proposition, pricing, and lifecycle decisioning. Work with the Insight & Intelligence team to shape the implementation of a Snowflake based data environment to support a segmented go-to-market strategy. Enable robust cohort analysis across ARPU, churn, CLV and acquisition performance and establish reporting dashboards and frameworks to enable commercial decision making. Gigaclear is a leading provider of ultrafast full fibre broadband to rural communities across the UK. With a rapidly expanding footprint and a strong customer base, the business is now entering its next phase of growth - focused on driving penetration, improving ARPU and delivering best-in-class customer experience. As the market evolves, with increasing levels of network overbuild and competition, Gigaclear is focused on developing a more sophisticated, data-led commercial approach to pricing, propositions, and customer lifecycle management. Gigaclear is a leading alternative operator of rural full fibre broadband networks in the UK. Offering customers a truly world class product, we are developing our fibre-to-the-premises broadband (FTTP / FTTH) infrastructure to some of the most difficult to reach areas of the UK, empowering those communities with broadband to rival any city. Staff rewards, benefits and opportunities We foster a collaborative, engaging culture that empowers staff to grow and maximise their skills. We want to challenge our people in a fair environment where hard work is rewarded and a path for progression is open to all. Generous employer pension; up to 8% matched contribution Income protection & life assurance 25 days holiday (plus bank holidays), holiday purchase scheme and Yay Days! Health cash plan, 24/7 remote GP access and Employee Assistance Programme including counselling & legal advice Unlimited access to online training and development content via our Learning Management System Long service benefits and monthly employee recognition Enhanced maternity and paternity provisions Flexible working environment Health & Wellbeing initiatives and company funded social events Our approach is to work guided by our mission, vision and values. Our Mission - Empowering communities with brilliant broadband Our Vision - Connected Communities Our Values - Own it, Find the Right Way, Work Together, Win Together

Position Summary We are seeking an experienced and enthusiastic catering professional to provide innovative, high-quality catering for 40-60 employees. The successful candidate will be responsible for delivering excellent food service standards while maintaining effective budget controls and ensuring a cost-efficient operation. This role offers an excellent work-life balance, working 24 hours per week with no weekend or evening shifts. Principal Duties: To cook and provide food for staff, focusing on a variety of fresh, healthy, and balanced deli-style lunch options, including wraps, sandwiches, salads, soups, paninis, cakes and sweet treats. Accountable for innovative menu planning and design of food service within your own specified budget, ensuring high standard of food presentation and portion/quality control. Cater to individual needs e.g. allergies. Accountable for COSHH, food safety, health and safety, legal regulations, environment policies and duty of care to customers and colleagues. Maintaining, ordering and controlling food stocks within your budget. Knowledge & Skill Requirements Must be able to cook well unsupervised and come up with new and varied food options. Actively seen to improve ways of working and offer suggestions. Must be comfortable ordering the shopping and keeping to a designated budget, cleanliness and excellent food hygiene is essential. Committed to achieving results through a can do attitude. Needs to be a fun lively character who is able to effectively communicate with other colleagues. Working Conditions Must have a clean driving license and own car due to rural location. Other Information Laptop Learning and Development Plan Purdicom Pathway Training Platform Motivosity Reward and Recognition system On Site Gym Purdi Perk Vouchers Pool table/ Batak/Table Football 25 days holiday 1 Well Being days Birthday Bonus Anniversary Bonus Pension Scheme Medical Scheme Sick Pay Life Insurance 4 x salary Free Parking TPBN1_UKCT

GCSE Tutor: Job Title: Maths and English Tutor Location: Oxfordshire Pay Rate: £25- 30 per hour Hours: Between 5-25 hours per week Job Type: Temporary | Part-Time | Our GCSE tutors play a vital role in bridging learning gaps for students with complex Special Educational Needs (SEN), including those with Autism, ADHD, SEMH (Social, Emotional and Mental Health) needs, and those working below expected levels. We understand every learner's journey is different- that's why we offer flexible hours to fit around your schedule, and the opportunity to make a genuine, lasting difference. Key Responsibilities: Deliver one-to-one GCSE Maths and English lessons tailored to SEN learning profiles. Adapt lesson content and pace to support emotional regulation and learning style. Support the student in developing subject knowledge, study skills and exam confidence. Build a trusting and consistent rapport to create a safe and supportive learning environment. Monitor progress and provide clear, constructive feedback to parents/carers or professionals as needed. Essential Requirements: Minimum 1 year of experience teaching or tutoring Maths and English. Design and deliver individualised lesson plans in line with EHCPs or identified support needs. Use a calm, consistent, and encouraging approach to build trust and foster student engagement. Liaise with parents, carers, and professionals to ensure consistent and coordinated support. Requirements: Minimum 1 year experience working with children or young people with SEN in an educational or therapeutic setting. Experience teaching or supporting Functional Skills and/or core subjects. (Maths or English) Right to work in the UK. Must have, or be willing to undertake, an Enhanced DBS check. Desired: SEN Qualification, ABA experience, or training in Autism/ Social Communication strategies. PGCE or QTS. Previous experience working with students in an alternative provision or outside the classroom environment. If you're someone who is passionate about inclusive education and believes in supporting every learner on their unique path, this role offers a chance to make a genuine, lasting impact. Prospero Teaching is acting as an employment business/education recruitment agency in relation to this vacancy. The successful candidate will be required to register and have passed all safeguarding/vetting checks with Prospero Teaching in order to fill this vacancy. Any adult working with children and vulnerable young people are responsible for safeguarding and protecting the welfare of the children and young people

An exciting opportunity has arisen for a Computer Vision Engineer to join a highly technical engineering team developing advanced perception and autonomous navigation technologies. You’ll be responsible for the design, development, verification and deployment of computer vision algorithms and software, contributing to challenging applications involving object detection, tracking and 6DoF pose estimation. Working alongside engineers across software, systems, GNC and other technical disciplines, you’ll have the opportunity to take algorithms from initial concept through validation and integration into complex autonomous systems. The Role Design and develop computer vision algorithms for object detection, tracking and 6DoF pose estimation. Contribute to computer vision subsystem architectures, requirements and performance budgets. Support the verification and validation of algorithms, including performance assessment and requirements verification. Support hardware-in-the-loop and integrated system testing. Work with camera and LiDAR sensing technologies, supporting hardware selection and integration. Support the integration of computer vision algorithms into embedded and flight software. Collaborate closely with Systems, GNC, Flight Dynamics and Software teams. Conduct research into emerging computer vision technologies and assess their application to future systems. Contribute to the development of robust and reliable solutions for demanding operational environments. About You We’re looking for an engineer with a strong technical foundation in computer vision and experience taking algorithms beyond research and into practical deployment. Essential experience includes: Master's degree in Computer Science, Software Engineering, Aerospace Engineering or another relevant discipline. 2+ years' industrial or research experience in computer vision algorithm development and deployment. Strong understanding of computer vision, image processing, machine learning and deep learning. Demonstrable experience developing algorithms from concept through to validation and deployment. Strong programming skills in Python, MATLAB, C and/or C++. Experience with frameworks and libraries such as OpenCV, TensorFlow and/or PyTorch. Understanding of camera and/or LiDAR sensor principles. Good knowledge of software configuration management and Git. Strong analytical and problem-solving abilities. Excellent communication skills and the ability to collaborate across multidisciplinary teams. Desirable Experience Experience within space, aerospace, robotics or autonomous systems would be advantageous, as would experience with: Vision-based navigation and perception. Sensor fusion and multi-sensor perception. LiDAR signal processing. ROS or ROS2. Embedded C/C++ development. Safety-critical software. Computer vision testbeds and data-generation environments. CI/CD and automated testing frameworks. What’s on Offer? Hybrid working in Oxfordshire. Optional 9-day fortnight working pattern. 25 days' holiday, increasing with service, plus bank holidays. Private healthcare and life insurance. Long-term sick pay. Relocation support may be available. Access to modern engineering and technical facilities. Collaborative and internationally diverse working environment. This is an excellent opportunity for a Computer Vision Engineer who wants to work on technically challenging perception and autonomous systems problems, while developing solutions that move beyond theory and into real-world applications. TT

A fantastic opportunity has arisen for an experienced Senior Computer Vision Engineer to take a leading technical role within a team developing advanced computer vision, perception and autonomous navigation technologies. You’ll work across the full development lifecycle, from algorithm design and subsystem architecture through to verification, testing and deployment, while also providing technical guidance to other engineers. This role offers the opportunity to work on complex technical problems involving sensing, perception and autonomous systems, collaborating closely with Systems, GNC, Flight Dynamics, Software and Hardware teams. The Role Design and develop advanced computer vision algorithms for object detection, tracking and 6DoF pose estimation. Contribute to computer vision subsystem architecture, requirements and performance budgets. Support the selection, procurement and integration of LiDAR and camera systems. Lead and contribute to verification and validation activities, including performance assessment and requirements verification. Support hardware-in-the-loop and integrated system testing. Support the integration of computer vision algorithms into embedded and flight software. Collaborate with multidisciplinary engineering teams to ensure software and hardware performance and compatibility. Review engineering work and provide technical guidance and mentoring to less experienced engineers. Research and evaluate state-of-the-art computer vision technologies. Contribute to system-level engineering activities, including FMECA and FDIR. Help develop robust, reliable and scalable computer vision solutions. About You You’ll be an experienced Computer Vision Engineer with a strong track record of developing algorithms and taking them through validation and deployment. Essential experience includes: Master's degree in Computer Science, Software Engineering, Aerospace Engineering or another relevant discipline. 5+ years' industrial or research experience in computer vision algorithm development and deployment. Strong understanding of computer vision, image processing, machine learning and deep learning. Proven experience taking computer vision algorithms from concept through to validation and deployment. Strong programming skills in Python, MATLAB, C and/or C++. Experience with OpenCV, TensorFlow and/or PyTorch. Strong understanding of camera and LiDAR technologies. Experience with software testing and integration. Good understanding of Git and software configuration management. Strong analytical and problem-solving capabilities. Excellent communication skills, with the ability to explain complex technical concepts clearly. A proactive approach and the ability to work effectively across multiple engineering disciplines. Desirable Experience The following would be particularly valuable: Experience with vision-based navigation or perception for space systems. Experience within space, aerospace, robotics or autonomous systems. Knowledge of rigid-body dynamics and kinematics. Experience with sensor fusion and multi-sensor perception. LiDAR signal processing. Embedded C/C++ development, particularly in safety-critical environments. ROS, ROS2 or similar robotics middleware. HIL testing and integrated system campaigns. CI/CD pipelines and automated testing frameworks. What’s on Offer? Hybrid working in Oxfordshire. Optional 9-day fortnight working pattern. 25 days' holiday, increasing with service, plus bank holidays. Private healthcare, life insurance and long-term sick pay. Relocation support may be available. Modern engineering and technical facilities. Collaborative, international and technically driven working environment. This is an excellent opportunity for a senior engineer looking to combine hands-on technical development, system-level engineering and technical leadership within a highly challenging computer vision environment. TT

Nurture Teacher (QTS) Location: Oxfordshire (Oxford, Banbury, Didcot, Bicester and surrounding areas) Pay: £28–£32 per hour (PAYE) Start Date: Immediate / Ongoing Hours: Flexible Still love teaching… just not the system? You didn’t train to spend evenings buried in marking. You didn’t enter the profession to feel constantly overwhelmed. You didn’t become a teacher to manage behaviour instead of inspiring learning. You became a teacher to change lives. At SEND Inclusion Support, we offer experienced teachers the opportunity to step away from whole-class pressure and into purposeful, relationship-led work supporting vulnerable learners across Oxfordshire. The Role – Nurture Teacher (1:1) Through our Nurture Pathway, you will work 1:1 with pupils across Oxfordshire who are currently out of school due to: • Special Educational Needs and Disabilities (SEND) • Social, Emotional and Mental Health needs (SEMH) • Emotionally Based School Avoidance (EBSA) • Risk of exclusion or permanent exclusion • Anxiety, trauma or disengagement from education You will design and deliver bespoke, interest-led learning sessions tailored to each young person. This is relationship-first teaching. Your work will focus on rebuilding confidence, re-engaging learners and supporting successful reintegration into education — at a pace that works for them. What Makes This Different? No whole-class teaching. No excessive marking. No unnecessary meetings. No data-driven overwhelm. Instead, you will benefit from: • Flexible working hours • Paid planning and preparation time • Access to high-quality teaching resources (including Twinkl) • Online or in-person delivery options • Ongoing mentoring and professional support • A supportive and experienced team This is meaningful teaching — without burnout. Who We’re Looking For We would love to hear from you if you are: • A qualified teacher (QTS essential) • Experienced in SEND, SEMH or alternative provision • Confident delivering 1:1 or small-group learning • Calm, relational and adaptable • Passionate about inclusion and second chances If you are an excellent teacher who feels constrained by the traditional classroom model, this could be the reset you have been looking for. Why Join SEND Inclusion Support? Because teaching should feel purposeful — not overwhelming. Because flexibility and professional trust matter. Because some young people simply need a teacher who sees them differently. And that teacher could be you. Apply Now Submit your CV via the link or call (phone number removed) for an informal conversation. Help transform a young person’s future — without burning out

MICROFLUIDICS ENGINEER Location: Oxford Reporting to: COO / CPO Employment: Full time, permanent Level: Commensurate with experience Sector: Medical Devices / IVD, early stage startup Working arrangement: On site ABOUT THE COMPANY Our client is a medical device company developing a culture free in vitro diagnostic system for rapid bacterial identification and antimicrobial susceptibility testing directly from whole blood. Their technology combines microfluidic sample preparation, Raman spectroscopy, a growing Raman spectra database, and machine learning driven analysis to produce clinically actionable results far faster than conventional blood culture methods. The technology has performed strongly in laboratory validation, and the company is now progressing through a prototyping and pilot study phase, with regulatory submissions planned under FDA and EU IVDR routes. Microfluidics sits at the heart of the platform, taking whole blood and delivering clean, concentrated, viable cells to the optical system. The successful candidate will join a small, closely knit microfluidics team and will have a genuine, lasting influence on how the sample preparation technology is designed, de risked, and manufactured at scale. THE ROLE This role covers the design and development of microfluidic sample preparation systems used to process whole blood for the diagnostic platform. The company is looking for a hands on engineer to join the microfluidics team, working across the full lifecycle from early stage concept prototyping through to designing for scaled up, regulated manufacture. The position spans bacterial identification (ID) and antimicrobial susceptibility testing (AST) assays as well as emerging fungal applications, and sits at the intersection of microfluidics, fluid mechanics, and practical engineering. You will contribute across design, prototyping, experimental testing, manufacturing transfer, and scale up, taking genuine ownership of the subsystems you work on. KEY RESPONSIBILITIES • Contribute to the design and optimisation of microfluidic devices and flow systems across bacterial ID, AST, and fungal applications, • Design, build, and test prototypes, including experimental validation using biological samples, • Plan and run structured experiments and characterisation studies, including design of experiments, to quantify performance and process robustness, • Analyse system performance and troubleshoot fluidic behaviour, using data to inform design decisions, • Develop and qualify cartridge sealing, bonding, and surface treatment strategies, working with internal teams and external partners, • Support improvements to the robustness, reliability, and scalability of devices, • Design for manufacture and scale up, translating prototypes into robust, high yield designs suited to volume replication routes, • Liaise with external fabrication and manufacturing partners, • Take ownership of specific subsystems or experiments from concept through to testing and iteration, • Balance engineering trade offs between performance, manufacturability, and cost, • Operate within the QMS, moving between rapid prototyping and regulated product development, • Translate overall system and product requirements into sub system requirements, and develop microfluidic systems that meet them, • Ensure engineering concepts are grounded in biological reality, working closely with the scientific team, • Plan, capture, and record design rationale, protocols, and results in clear engineering documentation to support verification, validation, and regulatory submission REQUIREMENTS Essential • Degree in engineering, physics, or a related quantitative discipline, or equivalent practical experience, • Strong fundamentals in fluid mechanics or transport phenomena, • Proven hands on experience with experimental systems or prototyping, including designing, building, and testing physical devices, fluidic systems, or experimental hardware, ideally in a commercial setting, • Ability to work independently, prioritise in a fast moving startup environment, and communicate concepts clearly to colleagues from other disciplines, • Confidence integrating into a multidisciplinary team of scientists, engineers, and clinicians, • A pragmatic problem solver, open to constructive challenge, with a continuous improvement mindset Note: A combination of all or most of these traits would qualify someone for the top end of the salary banding. Desirable • Experience with microfluidics, lab on chip systems, or small scale fluid systems, • Familiarity with CAD, ideally Solidworks, • Experience scaling microfluidic systems for high volume manufacture, • Familiarity with microfabrication and replication techniques and the tolerances they impose, • Experience with surface functionalisation, bonding, and sealing of polymers, • Experience handling biological samples such as blood or cell suspensions, with associated safety practice, • Familiarity with design of experiments (DOE) and statistical analysis of test data, • Experience developing microfluidic devices coupled with optical detection and analytical workflows, • Working knowledge of one or more of ISO 13485:2016, ISO 14971, EU IVDR, and FDA 21 CFR Part 820, • Experience in an early stage startup or spin out environment experiencing rapid growth WHAT'S ON OFFER • The opportunity to own core microfluidics technology at a company delivering genuine translational impact in antimicrobial resistance diagnostics, • A broad, hands on remit spanning rapid prototyping through to manufacture, with real influence over design direction, • Direct access to and collaboration with the founding team and scientific leadership, • Competitive salary, commensurate with experience and company stage HOW TO APPLY For a confidential discussion about this role, please contact Max Marcus at Platform Recruitment. Seniority Level Mid-Senior level Industry • Medical Equipment Manufacturing Employment Type Full-time Job Functions • Engineering Skills • Part 820, • On Site, • Medical Devices, • Translation, • 21 CFR, • SOLIDWORKS, • Databases, • Direct Access, • CFR

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu