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Your new company You'll be joining an innovative research team developing next-generation technologies at the intersection of genomics, artificial intelligence, and healthcare. You'll be part of a multidisciplinary department of computational scientists, bioinformaticians, engineers, and researchers applying advanced analytics to large-scale biological datasets and real-world scientific challenges. Your new role As a Senior Scientist, you will develop novel computational methods that transform complex sequencing data into actionable biological insights and support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. The role is permanent and hybrid working - it requires some time on site (preferably 3 days/week but potentially flexible for the right candidate). Key responsibilities include: Designing and developing novel algorithms for genomics, sequencing, and large-scale biological data analysis Building and evaluating machine learning models to address complex scientific and translational research questions Validating and benchmarking new computational methods using large public and proprietary datasets Working closely with bioinformaticians and software engineers to deploy methods within scalable, reproducible workflows Collaborating across computational, biological, and data science teams to translate research into practical applications Taking ownership of scientific projects from concept through implementation, evaluation, and delivery There is the potential to take on some people leadership with this role, but the position can equally stay as a high-level technical expert. What you'll need to succeed A successful candidate will combine strong quantitative skills with genuine experience developing new computational methods.You should have: A PhD (or equivalent experience) in Computational Biology, Computer Science, Mathematics, Statistics, Physics, Machine Learning, Bioinformatics, or a related quantitative discipline Proven experience developing novel algorithms, computational methods, or machine learning models, preferably within genomics or other large-scale biological data domains Strong understanding of data structures, algorithms, statistical modelling, and quantitative problem-solving Excellent programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia, R, Rust, etc) Experience owning projects and delivering computational tools, models, or analytical methods from development through validation Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageous The ability to independently lead projects and drive scientific direction with minimal supervision What you'll get in return As well as a highly competitive salary and package, plus bonus, you'll have the chance to make a significant real-world impact in the field of genomics. You'll be working with highly capable and collaborative scientists and have access to significant compute resource. There's also significant flexibility around working styles and patterns and good opportunities for career progression and development. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Keywords: Computational, Genomics, Scientist, Research, Algorithm, Development, ML, Machine, Learning, AI, Bioinformatics, Statistics, Python, Maths, Sequencing, Modelling, Analytics, Computational, Software, Data, Biology, Quantitative, Programming, Cloud, Innovation, Biotechnology, Research, NGS, Pathogen, Bacteria, Virus, Disease, Oncology TPBN1_UKTJ

Topos is looking for two Research Software Engineers to join its research software engineering team, based in Oxford, UK. Topos UK, a non-profit research institute, is building a research software engineering team in Oxford. The team will focus on difficult technical problems for clients — organisations and individuals operating at the forefront of their domains, whose problems call for new ideas, mathematically sophisticated approaches, and good engineering. The team will work at the interface between mathematical research and client-driven problem solving: getting to know a client’s domain well enough to see its underlying structure, drawing on or expanding Topos’ wealth of research to find a suitable approach, and building software that solves the task at hand. In this way, client work and Topos’ research endeavours inform one another: client problems suggest new research directions, and research supplies new ways of attacking those problems. • Title: Research Software Engineer, • Location: Oxford, UK (on-site), • Employment type: 1.0 FTE, • Salary: £65,000 – 85,000 depending on level Topos is committed to building a team with diverse perspectives and life experiences, so those with personal or professional backgrounds underrepresented at Topos are highly encouraged to apply. You will be one of two new members of this team, which is led by our principal research software engineer, tslil clingman, and presently includes a senior software engineer, Kaspar Bumke. In the long term your work will be entirely client-driven; in the near term, part of it will be on CatColab. CatColab is a collaboration platform for modelling and programming in domain-specific categorical logics, written in Rust and TypeScript, with a mathematical core based on double-categorical logic and systems theory. It is also our principal research vehicle, demonstrating that a mathematically sophisticated approach to declarative modelling, compositionality, human legibility and collaboration can be built into high-quality software. We are open to hiring along a spectrum of experience levels. At the entry level, roughly corresponding to the lower portion of the salary band, responsibilities include: • Working with the team to turn clients’ problems into well-defined and delivered research engineering work, • Bringing mathematical ideas to bear on engineering problems, • Building working, maintainable, well-documented research software for clients, • Developing CatColab alongside Topos’ researchers: turning new mathematics into software capabilities for modellers and programmers At the experienced level, roughly corresponding to the upper portion of the salary band, the role further encompasses: • Shaping open-ended client problems into technical plans: scoping, estimating and sequencing the work, • Owning the technical design of a project or part of one, and being accountable for its quality and delivery, • Working directly with clients, and acting as a point of contact for them, • Guiding others’ work and supporting their growth We believe that a strong candidate at the entry level will have significant potential to increase the purview of their role over time, and we are committed to supporting and mentoring that growth. You might fit the following two descriptions, or some combination thereof. • You are a strong software engineer with evident mathematical curiosity, demonstrated by self-study, personal projects, the languages and tools you choose to work with, or other facets., • You have a strong mathematical background, ideally with overlap in Topos’ research areas, and you have demonstrable software engineering skills. We believe that capable people can learn whatever they need, so we don’t expect you to arrive knowing everything listed below. That said, curiosity for or familiarity with any of the following is welcome: • Programming: Rust, Haskell, TypeScript, or other strongly typed languages., • Software engineering: working on a shared codebase with version control, code review, automated testing and continuous integration, dependency and build management, databases., • Mathematics: category theory, type theory, statistics, declarative modelling. Finally, we look for: • Clear verbal and written communication, including with people outside your discipline., • The ability to contextualise work in its wider cultural, social and ethical context., • Enthusiasm for working in-person with a small but vibrant office in Oxford, UK, and collaborating with a similarly-sized office in Berkeley, CA. At the experienced level, we additionally look for maturity in building software and handling responsibility, including planning solutions and working directly with clients or external stakeholders. Offers at the upper end of the salary band are made to candidates who demonstrate this and meet the experience criteria above or, in exceptional cases, other equivalent criteria aligning with organisational priorities. There is evidence to suggest that women and people of colour are less likely to apply for jobs unless they believe they meet every one of the qualifications as described in the job description. If this role speaks to you, we encourage you to apply, even if you don’t believe you tick all the boxes. Topos will consider sponsoring UK visas for applicants. Please include details of your visa requirements (if any) in your application (e.g.in your cover letter). All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability. We are dedicated to shaping the future of technology to ensure a more equitable and just world, and we believe that a technology that supports a healthy society can only be built by an organisation that supports its team members. As such, Topos is committed to ensuring that we clearly and compassionately negotiate your role and responsibilities while you’re at Topos, and then ensuring that you have the support that you need to fulfil that role. Topos UK offers benefits including private health and dental insurance, 30 days paid holiday (plus public holidays), and a variable pension plan. Exceptional Team. Collaborate with world-leading researchers and high calibre funding agencies. Inclusive Environment. Be part of building a diverse team where different perspectives are valued and everyone can contribute their best work. Meaningful Impact. Participate in breakthrough research software engineering on humanity’s most pressing challenges—from climate change to public health to collaborative open science. Technical Innovation. Support the development of genuinely novel technologies that could transform how humanity approaches complex, collaborative decision-making. Supportive Culture. Join a caring, inquiry-driven community that values both intellectual rigour and personal wellbeing, with a strong focus on in-person office culture but flexibility to support work-life balance. Growth Opportunity. Shape a team poised for significant expansion and impact. • a cover letter including the contact details for two references who we can contact. Your cover letter might describe your interest in the Topos Institute and this position, your professional experience, your future goals, your specific relevant experience, and your potential contribution to a diverse and inclusive environment at Topos. Please feel free also to convey any information about preferred names and pronouns. Please note that we will not contact your references without first notifying you. We will review applications on a rolling basis. #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

Wallingford, UK At HR Wallingford, we design smart, resilient solutions across the natural and built environments to help everyone live and work more sustainably with water. By harnessing research, data insights and the power of our collective expertise, we help the world to better understand the changing influence and impact of water. The Dispersion and Water Quality Team, within our Coasts & Oceans Division, works with clients worldwide to model and optimise coastal project designs. Our typical consultancy studies involve hydrodynamic and water quality modelling to support, for example: • sustainable design of marine/riverine outfalls and intakes for the power and water sectors, • estuary, coast and river water quality improvement plans, • new waterfront developments We are seeking an experienced engineer/scientist with expertise in hydrodynamic modelling and water quality. The role involves understanding customer requirements, project management, numerical modelling and analysis, helping to support concept design of intakes/outfalls, writing proposals and reports, and contributing to our program of research and development. You are also likely to engage with project stakeholders (including environmental regulators), and you may provide training courses for internal and external clients. Proficiency in TELEMAC or other hydrodynamic models would be a significant advantage. The successful candidate will apply their knowledge on a range of engineering and environmental projects worldwide. You will report to the manager of the Dispersion and Water Quality Team within HR Wallingford’s Coasts & Oceans Division. • Degree in physical sciences, mathematics, or engineering, • Post-graduate qualification in a related field, • Experienced in coding in FORTRAN, Python and/or Matlab, • Project Management experience and abilities, • Good understanding of coastal processes, • Good understanding of marine outfall dispersion and water quality, • Experience in intake/outfall modelling and design, • Enthusiasm, pragmatism and resourcefulness, • Ability to contribute to research and lead research activities, • Excellent written and verbal communication skills in English, • Salary from £47,000 dependant on experience., • We understand the importance of a healthy work-life balance and offer both hybrid working and flexi-time. We are also open to exploring other flexible working arrangements, including part-time., • The closing date for applications is 1 st December 2026. Our privacy notice for job applicants, available from our website , explains how we collect and process the personal data you may provide us when you apply for a job with us through our websites, or by any other means. This notice also explains how we’ll store and handle that data and keep it. HR Wallingford are an equal opportunity employer and value diversity in our workplace. We do not discriminate, and work to create an inclusive culture across our business. #J-18808-Ljbffr

We’re looking for a Senior Software Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical Defence and National Security challenges. In this role, you’ll work alongside talented software engineers, scientists, designers, and product specialists to build elegant, maintainable, and impactful data-centric solutions. You’ll join one of our product teams, helping design and deliver AI-powered software to support user adoption and deployment of our product. You’ll work closely within a multidisciplinary team to deliver high-quality, impactful technology that blends innovation with real-world value. Mind Foundry is at an exciting stage of growth, with increasing demand for AI-enabled capability across our markets. We specialise in helping customers make sense of the ever-increasing volumes of data collected by sensors, platforms and systems at the speed of relevance. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. As a Software Engineer, you’ll work on problems that are technically challenging, operationally important and genuinely meaningful. You will help turn advanced AI and ML approaches into deployable capability that can support better, faster decision‑making in demanding real‑world environments. What makes the work distinctive is the combination of technical depth, practical engineering and responsible delivery. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real‑world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: • You will be required to travel to and work from client sites and partner locations. When not working onsite, this role can be office‑based or hybrid from our Summertown, Oxford office., • You will need to hold existing or be eligible for UK Security Vetting (SC), details of which can be found on Gov UKwebsite., • Design, build, and maintain scalable web applications using modern technologies., • Collaborate cross-functionally with engineers, designers, and scientists to deliver new product features and client solutions., • Own technical delivery, managing development tasks from design through to deployment., • Contribute to architectural decisions that shape the direction of our platforms and consulting projects., • Champion software quality, implementing best practices for testing, documentation, and CI/CD., • Participate in Agile development, contributing to sprint planning, reviews, and retrospectives., • Foster continuous learning, knowledge sharing, and technical excellence across the team., • At least five years of commercial software engineering experience., • Expertise in at least one high‑level programming language (e.g., Python, JavaScript/TypeScript) and familiarity with several others., • A degree in a technical discipline (e.g., Computer Science, Mathematics, Physics) or equivalent experience., • Experience working in an iterative Agile environment with a strong understanding of DevOps tools and culture, and a proven track record of improving software delivery processes., • Experience architecting and designing complex distributed systems for both cloud and on‑premise environments, with knowledge of architectural patterns and best practices for secure and scalable systems., • Motivation to mentor and develop less experienced engineers and contribute to team growth., • Broad technical competence across areas such as systems integration, scripting, CI/CD, UI/UX design, and databases., • Experience collaborating directly with users and clients to define and deliver high‑impact solutions., • Strong communication skills and the ability to explain technical ideas clearly to diverse audiences., • Frontend: React, TypeScript, • Backend: Python (Machine Learning), • Databases: PostgreSQL, • Infrastructure: Kubernetes, Cloud‑native environments, • Knowledge of Kubernetes, Helm and Docker/containerisation concepts, with hands‑on experience designing, deploying, and maintaining Kubernetes environments in production., • Broader software engineering experience such as scripting, UI/UX, design, or data engineering., • Experience working directly with clients or end users to gather requirements and deliver tailored solutions., • Experience developing embedded software, FPGA’s or C/C++., • Understanding of Machine Learning, AI, or Data Science, including experience deploying ML in production or commercial applications., • Experience integrating software with external APIs and systems, including network configuration., • Experience deploying in the field, and working independently on site with remote support While we think the above experience is important, we’re keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. At Mind Foundry, peoplehave the opportunity towork on problems that are technically challenging, operationallyimportantand genuinely meaningful. We are a close-knit, multidisciplinary team working on complex problems where advanced AI has the potential to make a meaningful difference in the real world. Our work sits at the intersection of research, engineering, product, customerneedand operational impact, which means everyone can contribute beyond their job title. What makes Mind Foundry different is the way we combine technical excellence with pragmatism,responsibilityand partnership. We are ambitious about what AI can achieve, but thoughtful about how it should be designed,deployedand trusted. Our teams work closely together, challenging ideas constructively, learning quickly and staying focused on building capability that is useful,credibleand operationally relevant. As a growing business, we offer the opportunity to have visible impact. You will be close to the customers, the technology and the decisions that shape our direction. We value people who ask good questions, bring others with them, and take ownership. This is an exciting time to join Mind Foundry. Demand for trusted, deployable AI capability is increasing, our products and partnerships are maturing, and our work is helping to shape how advanced machine learning can support Defence and National Security in challenging operational environments. If you are motivated by meaningful work, collaborativeteamsand the chance to help build something with real-world importance, Mind Foundry is a place where you can make a genuine contribution. • We share goals, responsibility and success. We support one another, value what fuels people and ensure no one is left behind., • We focus our effort where it matters most, we work hard, think smart and deliver meaningful results for our team, shareholders and customers., • We protect a positive environment. We have fun, feel safe, learn, grow and achieve more together., • We learn from setbacks and frustration, we support each other, solve problems together and don’t dwell on the past., • We hold ourselves to the highest standards and are trusted, discreet and reliable. We represent our clients with the same care as we represent ourselves. We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools,timeand supportthey need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You’llenjoy a competitive compensation package and great benefits suchas: • EMI options scheme, • 25 days of annual leave plus Bank Holidays, • Salary Sacrifice Pension scheme, • Private Healthcare (including dental and optical cover), • Group Life Cover at three times your annual salary, • Enhanced Parental and Sickness Leave, • Workplace Nursery Scheme, • Volunteering days, • UK Armed Forces Reservist Policy, • Pet friendly office, • Professional and personal development For more information, please visit our website www.mindfoundry.ai or email • Initial discussion with the People team, • Test Domecoding exercise, • 60 minute interview with two members of the Science & Engineering Team, • 2 hour coding exercise & 45 minute architecture exercise, • In person meet the team at our Summertown, Oxford office #J-18808-Ljbffr

Since 2021 our team has been listed every year in the “Top 100 Startups worth watching” in the EE Times, and our technology breakthroughs have been featured in The Telegraph, BBC and the New Statesman. Our founders are internationally renowned researchers from UCL and Oxford University who have pioneered the development of qubits and quantum computing architectures. Our chairman is the co‑founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation. We’re backed by a team of top‑tier investors, and we have recently closed our Series C funding of $160 million. We bring together the brightest quantum engineers, integrated circuit (IC) engineers, quantum computing theoreticians and software engineers to create a unique, world‑leading team, working together closely to maximise our combined expertise. Our collaborative and interdisciplinary culture is an ideal fit for anyone who thrives in a cutting‑edge research and development environment focused on tackling big challenges and contributing to the development of scalable quantum computers based on silicon technology. Our team of 110+ is based in the UK (Oxford and London), Australia (Sydney), Spain (SanSebastián) and the US. The role will require the individual to maintain and develop in‑house software stack for efficient data acquisition and analysis by hardware teams within the company. This role will also include refactoring, writing and testing software which interfaces with test and measurement hardware. The role sits within the Intelligent Automation team, whose goal is to transform the automation of key parts of both the characterisation and operation of the quantum processor and its constituent parts. No background in quantum physics is required. The role will engage tightly with the Quantum Hardware Team, who specialise in designing, validating and operating quantum processors based on silicon industrial technology. This role forms part of our investment in state‑of‑the‑art facilities in Sydney, Australia. It reflects our commitment to driving innovation and collaborating with some of the brightest minds in the quantum industry, and additionally taps into Australia’s strongest semiconductor and cryogenic ecosystem. Our mission is global and this is a rare and exciting opportunity to join a team which is shaping the future of quantum computing. As part of our lean, high‑impact and rapidly growing team, you will be working closely with our scientists, engineers and experts in a dynamic environment to make the site run smoothly and compliantly from day one, dedicated to contributing to the development of scalable quantum computers based on silicon technology. Please note that this is a hybrid role, typically requiring 60% on‑site attendance. Due to the nature of the role, a fully remote work pattern cannot be considered. Assist in the characterisation and validation of quantum dots for use in quantum computing applications Contribute to the design of scalable quantum dot‑based quantum circuits Maintaining and expanding in‑house software for experiment and instrument control Working with hardware experts to understand requirements, scope out and develop new features Improving code health for existing software libraries including refactoring, test development and documentation Managing the tracking of feature requests, issues and bugs to ensure their resolution Supporting best practice in the use of software repositories for measurement and analysis tools for use by members of the measurement teams Bachelor’s or Master’s degree in Computer Science or a closely related discipline Strong Python developer with at least 1 year of industry experience Solid understanding of object‑oriented programming and core software design principles Strong analytical and problem‑solving skills, with the ability to reason about complex systems Familiarity with Git, version control, and modern software development best practices A desire to work closely with end users in technical or experimental environments Strong collaborative approach with good communication and interpersonal skills Ability to work independently to achieve defined goals Background in a physical science or engineering discipline (e.g. physics, engineering, applied mathematics) Experience using Python scientific and numerical libraries (e.g. NumPy, SciPy, Pandas, Matplotlib, Jupyter) Knowledge of additional programming languages (e.g. C/C++, Rust, MATLAB, or similar) Familiarity with software validation and testing practices Familiarity with preparing technical reports and presentations Be part of a creative, world‑leading team Competitive salary and share options scheme Region‑specific benefits (e.g. Health Insurance) Choose your own laptop/kit Flexible working Central Sydney location Quantum Motion is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, disability, gender reassignment, marital or civil partner status, pregnancy, maternity or breastfeeding, race, colour, national extraction or social origin, religion or belief, sex, sexual orientation, family or carer responsibilities, or any other characteristic protected by applicable local laws (including the UK Equality Act 2010 and the Australian Fair Work Act 2009). Quantum Motion is a fast‑growing quantum computing scale‑up based in London founded by internationally renowned researchers from UCL and Oxford University with over 40 years’ experience in developing qubits and quantum computing architectures. Bringing together state‑of‑the‑art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial‑grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more. #J-18808-Ljbffr

We invite applications for a Postdoctoral Research Associate in Applied Mathematics to work with Professor Maria Bruna at the Mathematical Institute, University of Oxford. This is a full-time, fixed-term position for 24 months, funded by a Royal Society University Research Fellowship. The starting date of the position is flexible, between January 2027 and October 2027. The successful candidate will contribute to the research programme “Large-scale dynamics for strongly interacting particle systems”, investigating how collective behaviour emerges from stochastic systems of interacting particles. The research combines mathematical modelling, asymptotic analysis, probability theory, partial differential equations and computational approaches to derive and study macroscopic descriptions of complex particle systems. Topics include interacting diffusions, exclusion processes on lattices and active matter systems, with applications ranging from transport processes to collective behaviour in biological systems. The post offers flexibility to develop research directions aligned with the candidate’s expertise and the project objectives, within an active, collaborative research environment involving national and international collaborators. Applicants should hold, or be close to completing, a PhD/DPhil in Mathematics or a related discipline, with a strong background in areas such as partial differential equations, probability, stochastic processes, asymptotic analysis or mathematical modelling. Previous experience in every aspect of the project is not required. The successful candidate will undertake original research, contribute to publications and presentations, and participate in wider research-group activities. Where grant conditions and departmental need allow, there may be opportunities for teaching, not exceeding three hours per week for 24 weeks of the year, with additional remuneration. We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award. We welcome applications from all backgrounds, particularly from women and ethnic minorities. Only applications received before 12.00 noon UK time on 7th December 2026 will be considered. #J-18808-Ljbffr

You will play a key role in shaping the future of trajectory planning and optimisation by introducing innovative concepts and delivering streamlined interfaces that give our Operations team clear, intuitive access to all information related to the spacecraft’s environment — including interactions with nearby objects. In this role, you will work across a diverse range of orbital regimes and mission scenarios. Your involvement will span the entire operational lifecycle, from routine mission phases to complex activities such as rendezvous, docking and separation with both active and passive clients. You will contribute to the full development chain of the Flight Dynamics suite — from design and implementation through testing and operational deployment — while collaborating closely with multidisciplinary teams across the globe. • Develop and maintain Flight Dynamics models, algorithms, simulations, analyses, and software tools to support mission design, orbit determination, orbital manoeuvres, spacecraft performance assessment, and operational monitoring., • Support flight dynamics requirements definition., • Interface with contractors on technical activities., • Perform mission and system analyses., • Support manoeuvre planning, execution, and performance evaluation.Support conjunction assessment and collision avoidance activities., • Support anomaly investigations., • Develop and maintain operational procedures., • Support spacecraft operations and participate in real-time mission operations., • Participate in training and mission execution activities., • University degree in aerospace, computer science, software engineering, mathematics or relevant science discipline., • 2 years commercial Space flight dynamics experience., • Excellent knowledge of orbital mechanics & flight dynamics., • Experience using Python, and scripting & basic knowledge of Linux., • Experience with mission analysis & requirements definition., • Fluent in spoken and written English language., • Work in a team as well as independently., • All applicants must have an independent right to work in the UK (without sponsorship) at the time of application., • Current holder, or eligible to obtain, UK SC level clearance or higher, • Masters or Doctorate in relevant field., • Experience in flight dynamics operations., • Experience in agile methodology., • Experience in using simulation software MATLAB or similar., • Experience in regression testing and version control., • Education or experience in guidance, navigation and control., • Education or experience in image processing and object reconstruction methods., • Familiarity in Flight Dynamics Activities and Processes., • Competitive base salary, • Opportunity to work with a highly talented, diverse & dynamic international team with cutting edge technology, • Flexible working around core hours in a friendly and supportive environment, • Optional 9/75 working pattern, • Hybrid working available (dependent on individual role requirements), • 25 days holiday (increasing yearly up to a maximum of 28 days) + 8 days Bank Holiday, • Life insurance and long-term sick pay, • Private healthcare (taxable benefit), • Relocation allowance, • State of the art office and cleanroom facility, • Regular social events Astroscale UK (Harwell). Astroscale is the global leader in on-orbit servicing, dedicated to the secure and sustainable development of space. The company delivers a variety of innovative and scalable on-orbit servicing solutions, including life extension, refurbishment, upgrades, in-situ space situational awareness, end-of-life, and active debris removal. Since its first successful launch in March 2021, Astroscale has proven rendezvous and proximity operations technologies in orbit during the ELSA-d and ADRAS-J missions. Astroscale spacecraft have been selected for pioneering missions with JAXA, the U.S. Space Force, the European Space Agency, the UK Space Agency, and Eutelsat. As more satellite operators adopt on-orbit servicing to routinely inspect, relocate, remove, and extend the life of spacecraft, the potential of a circular space economy — and a future of no waste in space — is being unlocked. Headquartered in Japan, Astroscale has a global presence with subsidiaries in the United Kingdom, the United States, France, and Israel. Find out more about Astroscale at www.astroscale.com. At Astroscale UK we pride ourselves on our inclusive culture. Our essential criteria are based solely on the requirements necessary to perform the role. If any criteria could present a barrier, we are open to discussing reasonable adjustments and are committed to ensuring an inclusive recruitment process. Astroscale UK is also open to supporting job share arrangements, to further our flexible working offering. #J-18808-Ljbffr

Looking for a career in technology but not necessarily software development? Avanti Recruitment is working with an established Oxford-based software company that develops highly specialised products used by organisations operating in regulated and data-driven environments. They are looking to hire a Graduate / Junior QA Engineer to join their growing Quality Assurance team. This role will require you in the office 3 days per week. This is an excellent opportunity for a recent graduate or early-career professional who enjoys problem-solving, spotting details others miss and understanding how software works from a user's perspective. No commercial QA experience is required. The company is happy to provide training for the right person, but you will need a 2:1 or above degree in a STEM subject. As a QA Engineer, you'll be responsible for ensuring software is thoroughly tested before release. You’ll work closely with developers and product teams, helping to identify bugs, improve user experience and maintain high standards of software quality. Typical responsibilities include: • Testing new software features before release, • Investigating and reproducing software issues, • Verifying bug fixes, • Providing feedback on usability and functionality, • Reviewing documentation and product changes, • Working closely with developers and product managers, • Supporting software releases and quality standards The role is primarily focused on manual testing, with opportunities to develop automation skills over time. You will need to be Naturally curious and an analytical, detail-oriented, strong communicator, comfortable learning new technologies, interested in software quality/testing, and motivated to build a career within technology. • STEM degree (or graduating this year) in a subject such as Physics, Mathematics, Engineering, Computer Science, Natural Sciences or similar, • Excellent attention to detail, • Strong written and verbal communication skills, • Analytical and logical problem-solving ability, • Ability to learn new concepts and technologies quickly, • Strong organisational skills, • Genuine interest in software quality, testing and user experience, • Ability to work effectively within a collaborative team environment, • Willingness to work from the Oxford office a minimum of 3 days per week, • Previous software testing or QA experience (commercial, internship, placement year or personal projects), • Experience with Java or Python, • Experience using Linux, • Familiarity with Jira or similar issue-tracking tools, • Understanding of Agile development methodologies, • Exposure to API testing, • Experience writing or maintaining automated tests, • Previous customer-facing experience, • Summer internships, industrial placements or part-time work demonstrating initiative and responsibility, • Understanding of software development lifecycles, • £30,000 starting salary, • Up to 8% annual bonus, • Enhanced pension contributions, • Childcare contribution scheme, • Free office lunches twice per week, • Dog-friendly office, • Hybrid working, • Excellent training and career development opportunities, • Supportive and collaborative team environment, • 1st stage: Initial video interview (30 minutes), • Final: Face to face interview onsite in Oxford (60-90 minutes) No coding test required. If you're looking for an opportunity to join a successful technology company where you'll receive genuine support, training and long-term career development, then I want to hear from you. #J-18808-Ljbffr

Looking for a career in technology but not necessarily software development? Avanti Recruitment is working with an established Oxford-based software company that develops highly specialised products used by organisations operating in regulated and data-driven environments. They are looking to hire a Graduate / Junior QA Engineer to join their growing Quality Assurance team. This role will require you in the office 3 days per week. This is an excellent opportunity for a recent graduate or early-career professional who enjoys problem-solving, spotting details others miss and understanding how software works from a user's perspective. No commercial QA experience is required. The company is happy to provide training for the right person, but you will need a 2:1 or above degree in a STEM subject. As a QA Engineer, you'll be responsible for ensuring software is thoroughly tested before release. You’ll work closely with developers and product teams, helping to identify bugs, improve user experience and maintain high standards of software quality. Typical responsibilities include: • Testing new software features before release, • Investigating and reproducing software issues, • Verifying bug fixes, • Providing feedback on usability and functionality, • Reviewing documentation and product changes, • Working closely with developers and product managers, • Supporting software releases and quality standards The role is primarily focused on manual testing, with opportunities to develop automation skills over time. You will need to be Naturally curious and an analytical, detail-oriented, strong communicator, comfortable learning new technologies, interested in software quality/testing, and motivated to build a career within technology. • STEM degree (or graduating this year) in a subject such as Physics, Mathematics, Engineering, Computer Science, Natural Sciences or similar, • Excellent attention to detail, • Strong written and verbal communication skills, • Analytical and logical problem-solving ability, • Ability to learn new concepts and technologies quickly, • Strong organisational skills, • Genuine interest in software quality, testing and user experience, • Ability to work effectively within a collaborative team environment, • Willingness to work from the Oxford office a minimum of 3 days per week, • Previous software testing or QA experience (commercial, internship, placement year or personal projects), • Experience with Java or Python, • Experience using Linux, • Familiarity with Jira or similar issue-tracking tools, • Understanding of Agile development methodologies, • Exposure to API testing, • Experience writing or maintaining automated tests, • Previous customer-facing experience, • Summer internships, industrial placements or part-time work demonstrating initiative and responsibility, • Understanding of software development lifecycles, • £30,000 starting salary, • Up to 8% annual bonus, • Enhanced pension contributions, • Childcare contribution scheme, • Free office lunches twice per week, • Dog-friendly office, • Hybrid working, • Excellent training and career development opportunities, • Supportive and collaborative team environment, • 1st stage: Initial video interview (30 minutes), • Final: Face to face interview onsite in Oxford (60-90 minutes) No coding test required. If you're looking for an opportunity to join a successful technology company where you'll receive genuine support, training and long-term career development, then I want to hear from you. #J-18808-Ljbffr

We are seeking to recruit three Senior Machine Learning Engineers to join our team on fixed term contracts until the end of 2027 with a view to be made permanent for the right candidates. These are hybrid roles, offering a combination of at home and on‑site working. We’re Aioi R&D Lab – an AI tech hub in one of the fastest‑growing insurance companies. We research and develop AI systems that catapult insurance from a slow‑moving, traditional past into a data‑driven, technology‑lead and society‑defining future. We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first‑class credentials and a proactive attitude to help us drive the change that underpins our mission. As a Senior Machine Learning Engineer, you 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 principles. Working within a multidisciplinary and multi‑partner environment, the postholder will help translate research and technical concepts 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. If you’d like to be part of our brighter future, and share in our success, we’d love to hear from you. • Design, develop, test and maintain machine learning and AI software in support of the CODAS project and related R&D Lab initiatives., • Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‑ready applications., • Support the translation of research outputs into robust, maintainable and operationally viable systems., • Work with internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities., • Help adapt AI and ML approaches to privacy‑sensitive, security‑conscious and regulated deployment contexts., • Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments., • Troubleshoot technical, data and integration issues arising during development and deployment., • Support the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab., • Communicate technical trade‑offs, risks and progress clearly to both technical and non‑technical stakeholders., • Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience., • 5+ year work experience in relevant field., • Strong software engineering capability in Python, including writing clean, maintainable, well‑tested and well‑documented code., • Experience developing and deploying machine learning, AI or data‑driven systems in production or near‑production settings., • Experience with generative AI systems, LLM‑enabled applications or evaluation pipelines., • Experience with cloud platforms, MLOps tooling, model serving or platform engineering., • Advanced use of Linux, Docker, version control, CI/CD and service‑oriented deployment practices., • Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation., • Experience with data pipelines, APIs, system integration or user‑facing AI applications., • Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders., • Strong communication skills, including the ability to explain technical issues and trade‑offs clearly to non‑specialists., • Experience with privacy‑preserving, secure or compliance‑sensitive technical environments., • Experience working in multi‑partner programmes involving industry, government or academia., • Experience in regulated industries such as insurance, financial services, public sector or national‑scale infrastructure contexts., • Familiarity with agentic systems design, MCP/A2A protocols, or inference‑time privacy controls., • Familiarity innovating with agentic‑driven workflows and toolsets for both research and prototyping tasks, such as Claude, Claude‑Code, CoPilot, etc. 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., • 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

Fusion, the process that powers the sun and stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realizing fusion energy, partnering with industry and research organisations to achieve ground-breaking advancements. Our goal is to bring fusion electricity to the grid by developing the power stations of tomorrow and the skilled workforce to deliver them. The Computational Materials and Engineering (CME) Unit within UKAEA’s Computing Division delivers research, development and technical support across high-performance computing, engineering and scientific computing, AI, machine learning and advanced simulation technologies for the fusion programme. In this role, you will lead the development and maintenance of software capabilities supporting computational nuclear and multiphysics applications, while driving research, collaboration, funding and adoption of emerging technologies. You will provide technical and strategic leadership, manage projects and resources, represent UKAEA nationally and internationally, and help shape future research directions while developing expertise and collaborations across the Authority. • Plan and lead technical contributions to workstreams in modelling, simulation and uncertainty quantification activities for UKAEA programmes, • Review and provide approvals for the technical output of teams of 4-10 people, • Oversee development of state-of-the-art software suites, ensuring adherence to established quality standards, • Design technical strategy for development for, deployment on, and evaluation of new and emerging computing architectures, • Produce consistently high levels of high-impact output. Present research at conferences including regular oral or invited conference presentations, high quantity and quality of publications, generally two to three first author journal papers per year, • Collaborate with national and international partners on developing and evolving codes to exploit peta- and exa-scale systems, • Actively seek new research and funding opportunities, leading proposals. When successful implement new programmes supported by funds outside UKAEA, leading consortia, • Lead international projects, develop new collaborations, and maintain and grow our research at the international cutting edge, • Perform your own research into novel numerical methods and algorithms with applicability within fusion and beyond, • Act as a source of advice to other divisions and programmes. Support wider skills development, providing training across the organisation relating to specialism, • At least a doctorate degree (or equivalent qualification) in a computational, mathematical or physical science discipline with a strong publication track record or contribution to relevant software library (or equivalent experience in either a commercial or research environment), • Significant demonstrable experience using high-performance computing systems and of at least one compiled level language (e.g. C++, Fortran, C, Rust) or advanced scripting language (Julia, R, Swift Parallel Scripting), as evidenced through contributions to software packages, • Experience in working in and leading a distributed team in both mentoring and managing roles, either as a project or technical manager, • Significant demonstrable experience and international reputation in one or more relevant computational engineering fields. Solid foundation in mathematics, especially numerical analysis, demonstrated by extensive publication records or contributions to relevant software libraries, • Experience of the development and implementation of testing strategies (verification and validation) and an ability to assess new algorithms which could be applicable to fusion based codes, • Demonstrable significant experience in performing technical review and approval of contributions to large-scale software projects or journals We have a generous range of benefits (see the full list here) and highlights include: • A salary of £71,815 (inclusive of a £7,700 specialist allowance), • Up to 7% corporate performance bonus, • Final salary defined benefits pension scheme with an equivalent of 21.5% employer pension contribution, • 25 days annual leave plus 2.5 ‘privilege’ days; 8 Bank Holidays Additional 3 days of site closure over Christmas break, • Flexible working options plus family-friendly leave provisions UKAEA’s mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, inclusion and accessibility, and strive to ensure fair representation across our workforce. Please email if you have any questions or require adjustments to help you participate fairly in our recruitment process, for example changes to the way we interview or share information. As a Disability Confident Employer, we are committed to providing an inclusive and accessible recruitment experience for all candidates. We particularly encourage applications from groups currently underrepresented in STEM, including women and people from diverse ethnic backgrounds. All appointments are made on merit and further information can be found here. £71,815 (inclusive of Specialist Allowance) + excellent benefits including outstanding pension Computational Materials and Engineering Engineering Full-time REF4624Q #J-18808-Ljbffr

Trauma and Orthopaedics is recruiting! Working with us at Frimley Health NHS Foundation Trust offers the opportunity to play a pivotal role in the coordination and delivery of high-quality trauma care. As a Trauma Coordinator, you will work closely with orthopaedic surgeons, anaesthetists, theatre teams, emergency department staff, ward teams, trauma nurse practitioners, physiotherapists, and discharge coordinators to ensure patients receive timely, safe, and effective care throughout their trauma pathway. This is a dynamic and rewarding role where you will be at the centre of trauma service management, coordinating patient flow, supporting achievement of national trauma standards, and facilitating communication across the multidisciplinary team. You will contribute to improving patient outcomes and ensuring an efficient trauma service from admission through to surgery and discharge. Once established within the role, there are excellent opportunities for professional development, leadership experience, service improvement projects, and career progression within Trauma and Orthopaedics. The post holder will provide for the care and on-going management of trauma patients admitted to the Frimley Health NHS Foundation Trust, including providing care for the presenting patient, from initialhistory taking, clinical assessment, diagnosis,treatmentand evaluation of care. They will work autonomously as a senior professional within Trust and NMC policies, protocols and guidelines,demonstratingsafe, clinical decision-making,high levelsof critical thinking and holistic practice, adhering to trust values,policiesand procedures. As a practitioner they will also be working within the national framework and adhering to statutory and regulatory requirements inclusive ofmaintaininga professional portfolio of practice and competence. ThetACPwillassistwithaudit, research and developmentinitiatingthe implementation, evaluation and development of multidisciplinary guidelines and protocols, incorporating current best evidence in consultation with medical and nursing staff for the care of patients across the Trust. The post holder will promote the concept of clinical governance andfacilitate the implementation of the nursing/midwifery/AHP Strategy and work within agreed Trust/Unit protocols and guidelines. Why Join Frimley Health NHS Foundation Trust? At Frimley Health NHS Foundation Trust, our people are at the heart of everything we do. As a Disability Confident Employer and recipient of the Gold Award in the Armed Forces Employer Recognition Scheme, we actively champion equality, diversity and inclusion, creating opportunities for people from all backgrounds to build rewarding careers within the NHS. We also recognise the importance of a healthy work-life balance. By supporting flexible working arrangements wherever possible, we enable our colleagues to balance their professional and personal commitments while continuing to deliver outstanding care to our patients. Whether flexibility means adjusted hours, part-time working, hybrid arrangements or alternative working patterns, we work in partnership with our staff to meet both individual and service needs. Join UsWhether you're at the start of your career or looking for your next challenge, Frimley Health offers the opportunity to be part of a inclusive, forward-thinking organisation that is committed to excellence, innovation and compassionate care. Together, we can shape the future of healthcare and make a real difference to the lives of the communities we serve. Frimley Health Trust benefits on Vimeo For a full list of responsibilities and tasks associated with this role, please refer to the job description/person specification attached to this vacancy. • Current unrestricted registration as a Nurse, • Working towards, will to start MSc Advanced Clinical Practice or equivalent qualification with a commitment to complete pathway, • Mentorship/teaching course or willingness to complete in first 6 months, • Resuscitation/Life Support course (if appropriate to area and role), • GCSE English and Mathematics at grade C or above (or equivalent qualifications), • Minimum of 6 months experience within the speciality at a band 6 or equivalent., • Evidence of ability to work at advanced practice level, • Management of patients with complex needs, • Evidence of delivery of training, • Clinical Supervision experience, • Contribution to audit, • Ability to initiate, sustain and evaluate change within a variety of clinical situations, • Management & Leadership experience, • Evidence of continuing professional development, • Knowledge of current practice issues and interest in further learning, • Awareness of critical analysis & awareness of application of research to practice, • Evidence of good written and oral communication skills including presentations, • Able to recognise and analyse complex situations and take appropriate solutions, • Good IT skills with ability to present information appropriately., • Ability and initiative to develop specialist areas of interest This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. £51,657 to £58,785 a yearper annum incl HCAS #J-18808-Ljbffr

IonQ, Inc . [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . This role is based at our Oxford, England (UK) office, with the option to work a few days a week remotely. Up to 5% 1765 We are looking for a Staff Analog Mixed-Signal Design and Modelling Engineer to join our Cryo-CMOS IC team at IonQ Oxford. In this role, you will develop behavioural models and mixed-signal verification environments for ASICs used in our trapped-ion quantum processors. In this position, you will build and maintain the model of the chip that the whole team simulates against, a mixed-abstraction model combining transistor-level circuits with Verilog-A/Verilog-AMS and SystemVerilog real-number behavioural blocks. These models will be derived form first-principles mathematics and correlated against schematic and measured silicon. You will decide which blocks are represented at which level of abstraction, keep the models faithful to the schematics and measured silicon. The full-chip model will then be used to verify the ASICs that control the quantum processor from room temperature down to a few kelvin. You will develop verification plans, run simulations and regressions, and validate models against circuit simulations and available silicon measurements. As a Staff Engineer, you will lead modelling and verification reviews, help define sign-off criteria and mentor other engineers. Your work will support tape-out and silicon bring-up, helping deliver reliable control electronics for IonQ's quantum computing systems. Key responsibilities include: • Own the full-chip modelling strategy: model architecture, abstraction levels, accuracy targets and sign-off criteria used across the IC development flow, • Owning analog and mixed-signal blocks (references, DACs, switches, regulators, clock distribution) from specification through schematic design, • Own top-level integration: define block interfaces and specifications, assemble the top level, and run the full-chip mixed-signal simulations that verify the ASIC Develop Verilog-A and Verilog-AMS models of analog blocks and assemble them into a simulatable full chip, • Build real-number models so the full chip runs in digital verification and regression at practical speed, • Derive models from mathematics: turn a transfer function, a Z-parameter network description or a MATLAB analysis into robust Verilog-A with well-behaved tolerances, • Define and run model-versus-schematic correlation, keeping models in sync with design releases, and feed measured silicon behaviour, back into the models and the block designs, • Develop verification plans from specifications, covering operating modes, analog-digital interfaces, power-up and reset sequences, and relevant process, voltage and temperature conditions., • Stand up mixed-signal co-simulation and regression (Cadence AMS Designer, Xcelium with Spectre) Lead block-level design reviews and mentor engineers on circuit design and modelling craft, • Lead modelling and verification reviews, define AMS sign-off criteria with the IC Lead, and present coverage, correlation results and risks for tape-out decisions, • Mentor engineers in modelling and verification To be successful, you will need deep analog and mixed-signal design and modelling experience, typically 10+ years. You will have designed blocks proven in silicon and models and used in production tape-out flows. You will bring expert transistor-level design of precision analog blocks (references, DACs, regulators, switches, clock distribution) taken through PVT and Monte Carlo, layout and silicon validation, together with expert Verilog-A and Verilog-AMS and strong real-number modelling. You'd be a great fit with: • Multiple tape-outs with responsibility for block design and top-level integration, including silicon bring-up and bench characterisation, • Strong mathematical foundations: linear systems, Laplace and z-domain analysis, network (Z-) parameters, noise and non-linearity, • Fluency in a production Cadence flow: Virtuoso, Spectre, Xcelium and AMS Designer or similar co-simulation environments, including parasitic extraction and post-layout sign-off, • SystemVerilog, plus MATLAB or Python/NumPy for analysis and model validation; scripting to automate model generation, checking and regression, • Cryogenic, space or other extreme-environment silicon experience will be highly beneficial, especially designing beyond foundry model validity using measured device data, • Ability to lead technical reviews, agree interfaces and verification criteria across teams, and communicate technical findings and risks clearly We're looking for someone who can design a block to specification and model it at the right fidelity, derive a model from equations and implement it end to end. You should be able to judge what to model and at what abstraction, align designers, verification and systems engineers on what a model does and does not promise, and contribute effectively within a fast-moving, highly technical team. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. #J-18808-Ljbffr

Research developer is required for an exciting and innovative Hedge Fund based in Oxford. The successful research developer will be working closely with world‑class researchers building systematic trading strategies, implementing them, monitoring them, and, importantly, helping execute. You'll work on a wide variety of problems, whether optimizing models themselves, software engineering, strategy analysis, or understanding market structure. As a Research Developer you will: • Collaborate with researchers to develop systematic trading strategies., • Implement, monitor, and refine trading models and associated software., • Support the execution of trades and help with operational monitoring., • Analyze market structure and contribute to strategy analysis., • Advanced degree in a quantitative field such as mathematics, statistics, physics, engineering, or computer science., • Keenness to get involved with the financial markets., • Ability to participate in operational support and monitoring., • Attention to detail and a desire to understand complex issues., • Experience in trading or execution roles., • Experience with equity/credit markets., • Familiarity with Linux., • Working alongside other extremely talented and driven engineers., • Extremely lucrative salary, bonus, and benefits. Location: Oxford, England, United Kingdom #J-18808-Ljbffr

An exciting opportunity has arisen for a Senior Flight Dynamics Engineer to join a pioneering space organisation working on advanced orbital missions and next-generation space technologies. In this role, you will play a key part in trajectory planning, optimisation, and mission analysis, developing innovative solutions that provide clear insight into spacecraft behaviour and interactions within complex orbital environments. You’ll work across a wide range of mission scenarios, including rendezvous, proximity operations, docking, and separation, contributing throughout the full mission lifecycle. • Define and review flight dynamics requirements for complex space missions, • Contribute to the architecture and development of flight dynamics systems and tools, • Develop and maintain mathematically intensive software modules, • Lead activities related to space traffic management, including conjunction analysis and collision avoidance, • Plan, execute, and assess orbital and attitude manoeuvres, • Support ground segment design and operational concepts, • Work closely with GNC, operations, and wider engineering teams, • Support spacecraft operations, including real-time and critical mission phases, • Develop and maintain operational procedures (nominal and contingency), • Investigate anomalies and contribute to root cause analysis and resolution, • Participate in on-call rotations and mission-critical support activities when required, • Degree in Aerospace, Mathematics, Physics, Computer Science, or similar, • 5+ years’ experience in flight dynamics within the space industry, • Strong knowledge of orbital mechanics and mission analysis, • Experience with simulation tools (e.g. MATLAB or equivalent), • Experience defining mission requirements and performing system analysis, • Strong communication skills and ability to work independently and within teams, • Experience in flight dynamics operations and/or agile environments, • Programming experience (e.g. Python, C++, scripting, Linux), • Exposure to Guidance, Navigation & Control (GNC), • Understanding of flight dynamics system architecture, • Eligibility for security clearance is advantageous, • Competitive salary and benefits package, • Hybrid and flexible working arrangements including 9/75 work pattern, • Opportunity to work on cutting-edge space missions and technologies, • Relocation support provided and visa sponsorship considered, • Collaborative, international engineering environment, • Modern facilities and strong focus on innovation and development This is a fantastic opportunity for a flight dynamics specialist looking to work on technically challenging missions at the forefront of the space industry, contributing to complex orbital operations and future space capabilities. #J-18808-Ljbffr

• are constantly looking to learn and have an interest in technical topics, • are quick to understand and have an analytical mindset, • enjoy solving complex customer problems as part of a team, • have a very good first or higher degree in a technical subject (computer science, physics, mathematics, etc.), • possess IT knowledge and coding experience, • are interested in artificial intelligence and machine learning, • are proficient in English, additional German skills are an advantage, • have a valid work visa You ... • are constantly looking to learn and have an interest in technical topics, • are quick to understand and have an analytical mindset, • enjoy solving complex customer problems as part of a team, • have a very good first or higher degree in a technical subject (computer science, physics, mathematics, etc.), • possess IT knowledge and coding experience, • are interested in artificial intelligence and machine learning, • are proficient in English, additional German skills are an advantage, • have a valid work visa Your role: • Analysis of customer requirements, development and optimization of large and complex software systems with high personal responsibility, • Implementation of automation processes and cloud infrastructure, • Consulting on and implementation of automated test environments, • Development and conceptual integration of AI components such as Machine Learning models or LLMs, • Introduction of agile processes, • Optionally, there are numerous opportunities to get involved within TNG Our offer: • A demanding, academic environment, • An open-minded and team-oriented culture characterized by strong team spirit and flat hierarchies, • Continuous education within our internal techdays (up to 10% of the working time) as well as external trainings, • Attractive work-life balance with flexible working hours, paid overtime, 30 days of holiday, and little to no travelling expected, • Be a part of our first team in our emerging location in Oxford, • Opportunity to work flexibly and remotely, and the option to work in a office About Us As a partnership-based IT consultancy, we work in a customer-oriented manner on a variety of projects in the areas of Agile Software Development, Artificial Intelligence, and DevOps & Cloud. In addition, we work on topics in Big Data and IoT. We mostly use Java and TypeScript, but also other programming languages, such as Python or C#. Our clients include large corporations as well as medium-sized companies and start-ups from a wide variety of industries, including e.g. telecommunications, security technology, insurance, fintech, and automotive. TNG in Numbers: • Revenue 2025: 130.4 Mio. €, • Current # of employees: >900, • Average Annual Growth Rate: 5-20%, • Academics ratio: ~ 99%, • Ph.D. ratio: 50+%, • 6x "Bayerns Best 50" In case of any questions, our recruiting team will be happy to assist you via . We are looking forward to receiving your application! TNG Technology Consulting GmbH | www.tngtech.com Headquarters: Beta-Straße 13 | 85774 Unterföhring National locations: Augsburg, Berlin, Hanover, Karlsruhe, and Munich International locations: Australia, Austria, Estonia, Hungary, Spain, Switzerland, United Kingdom, and USA #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

• Salary: £57,117 (inclusive of Specialist Allowance) + excellent benefits including outstanding pension, • Division: Computing, • Position Grade: Grade G, • Department: Computational Science (CS) Fusion, the process that powers the sun and stars, is one of the most promising options for generating the cleaner, carbon-free energy that our worldbadly needs. UKAEA leads the way in realizing fusion energy, partnering with industryand research organisations to achieveground-breaking advancements. Our goal is to bring fusion electricity to the gridby developing the power stations of tomorrow and the skilled workforce to deliver them. UKAEA is seeking a senior numerical methods specialist to help establish and grow ourcapability in advanced numerical methods for fusion science and engineering. We are looking for someone with deep expertise in one or more areas of computational mathematics. This list is deliberately not exhaustive: we are particularly interested in candidates who can bring new mathematical and computational approaches to challenging problems across UKAEA. Background knowledge of plasma physics or fusion energy generally is desirable but not essential. The successful candidate will work across UKAEA to identify scientific and engineering problems where advanced numerical methods can make a significant difference, develop and demonstrate new approaches, and help translate methodological research into practical simulation capability. Theywill need to act with a high degree of independence. They will also build strong relationships with universities and the wider numerical mathematics community, establishing collaborations that connect UKAEA problems with leading research in computational mathematics. We are therefore looking for someone who combines deep technical expertise with intellectual curiosity, initiative and the motivation to build a new capability from the ground up. • Develop and apply advanced numerical, statistical and computational methods to address complex scientific challenges., • Lead significant computational projects and work packages, delivering high-quality scientific outcomes., • Provide specialist expertise in a defined area of computational science and help shape research priorities., • Design, develop and enhance simulation tools, models and computational workflows., • Ensure scientific quality, reproducibility and technical rigour across research activities., • Identify, assess and mitigate technical and scientific risks within projects and modelling approaches., • Evaluate and adopt emerging computing technologies and numerical methods to advance research capability., • Guide technical approaches and research direction in collaboration with scientific and technical specialists., • Mentor computational scientists, researchers and doctoral students within your area of expertise., • Contribute to external collaborations, technical review activities, publications and conference presentations., • Degree in a scientific, engineering or technical discipline, plus a PhD or equivalent experience in an academic or industrial research environment., • Demonstrable expertise in at least one compiled language (such as C++, Fortran, C or Rust) or an advanced scripting language (such as Python, Julia or R)., • Strong knowledge of modern software engineering practices and advanced computational science, including expertise in simulation development, high-performance computing, numerical methods, or data-driven simulation techniques., • Experience leading computational research projects and delivering robust research software and high-quality scientific publications., • Proven experience applying advanced computational methods to solve complex scientific problems with a high degree of technical responsibility. UKAEA is an onsite organisation, and this role requires regular onsite presence (usually between 3-5 days in any given week) in line with business needs. We actively support flexible working arrangements where this is compatible with the role. We have a generous range of benefits (see the full list here ) and highlights include: • A salary of£64,820(inclusive of a £6,500 specialist allowance), • Up to 7% corporate performance bonus, • Final salary defined benefits pension scheme with an equivalent of21.5% employer pension contribution, • 25 days annual leave plus2.5 'privilege' days;8 Bank Holidays, • Additional 3 days of site closure over Christmas break, • Flexible working options plus family-friendly leave provisions UKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity,inclusionand accessibility, and strive to ensure fair representation across our workforce. We particularly encourage applications from groups currently underrepresented in STEM, including women and people from diverse ethnic backgrounds. All appointments are made onmeritand further information can be found here . #J-18808-Ljbffr

We’re AioiR&D Lab – an AItech hub in one of the fastest‑growing insurance companies. We research and develop AI systems that catapult insurance from a slow‑moving, traditional past into a data‑driven, technology‑led and society‑defining future. We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first‑class credentials and a proactive attitude to help us drive the change that underpins our mission. As a Machine Learning Scientist, you 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. 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. • Design, develop, test and maintain machine learning and AI software in support of the CODAS project and related R&D Lab initiatives., • Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‑ready applications., • Support the translation of research outputs into robust, maintainable and operationally viable systems., • Work with internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities., • Help adapt AI and ML approaches to privacy‑sensitive, security‑conscious and regulated deployment contexts., • Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments., • Troubleshoot technical, data and integration issues arising during development and deployment., • Support the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab., • Communicate technical trade‑offs, risks and progress clearly to both technical and non‑technical stakeholders., • Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a closely related discipline, or equivalent research or industry experience., • Established 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., • Software engineering foundations in Python, including ML frameworks, version control, CI/CD, and reproducible experimental practices., • Skills handling challenging data that requires understanding, preparation, organisation 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., • Communication skills, with the ability to explain 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., • Experience working in a multi‑partner programme involving industry, government or academia. We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career. 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: • Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday., • Healix Private Medical Insurance Options., • 3 x Annual Salary Life Assurance., • A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons for you and your family., • Additional perks such as a pension advisory service, family‑friendly policies, season ticket loan, cycle scheme, and financial flexibility through Wagestream., • 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

Data Scientist | Semiconductor Metrology Abingdon, UK Reward and Benefits • Annual bonus, 3x salary death in service benefit and private health care BUPA, EMI Share scheme. If you are a Data Scientist who enjoys turning instrument data into proof of what is possible, why not join us in Abingdon, Oxfordshire, and help prove the analysis methods behind advanced semiconductor metrology systems. We are looking for an ambitious and adaptable Data Scientist to join our new Data Science team in the Technology department, reporting to the Data Science Lead and working closely with our Modelling Scientist. You will generate and curate data, develop and test new algorithms, and benchmark them against what the instrument can physically deliver. When a method proves itself, you will package it for the Data Analysis team in Engineering, who turn it into robust product software. You will work with real customer use cases and wafer data from Applications Development, and proof-of-concept data from R&D. We are an AI-first team, so you will use AI tools every day, while checking carefully what they produce. If your passion is speed, evidence and finding out what the data can really tell you, we’d love to hear from you. What you’ll be doing • Generate synthetic data, and build and maintain the demo and performance data libraries, • Analyse instrument data to quantify noise and limitations, and help establish the information limit, meaning what is physically extractable from the instrument, • Develop and test new algorithms and analysis methods (for example PCA, percentile methods and machine learning) on real and synthetic data, • Benchmark methods against the information limit: achievable performance, measurement uncertainty, gauge R&R and drift contributors, • Write clean, reproducible prototype code with test data and expected performance, ready to hand over to Data Analysis, and build analysis tools used across the Technology department, • Use AI tools every day to code, explore, analyse and report faster, verify what they produce, and present your results to the team Education and experience • Degree or above in Physics, Data Science, Applied Mathematics, Engineering or a similar subject, or [2] years’ relevant experience in data science or quantitative research Skills and experience we’re looking for: • Data analysis in Python (NumPy, SciPy, pandas, scikit-learn or similar), • Heavy, day-to-day use of AI tools in your technical work, such as coding assistants and LLMs, with the judgement to verify their outputs, • Image or signal processing, ideally on data from scientific instruments, • Statistics applied to measurement data: uncertainty, repeatability, noise and drift, • Machine learning methods, and how to validate them properly, • Clear, reproducible code and reports, • Explaining results to technical and non-technical colleagues, • Curious and adaptable, happy to work quickly and test ideas against the evidence We’d love to see: • Atomic Force Microscopy or other nano-characterisation (SEM, FIB, profilometry), or semiconductor metrology, • Physics-based modelling or simulation, • Version control (Git) and C#, and experience building agentic or AI-assisted analysis workflows A bit about us: Infinitesima is a privately owned company founded in 2001, as a spin-out of the University of Bristol, by CTO Professor Andrew Humphris. Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive.If you require adjustments to take part in the recruitment process, please let us know, we’ll do our best to support you. Your recruitment journey: We will interview you: Monday to Friday UK Time 9am to 4.30pm and we'll be as flexible as we can with Global Scheduling 1st stage:(45 minute) Remote meeting to evaluate your experience and technical ability 2nd stage:(2.5 hours) Face to face onsite evaluating technical, presentation and communication skills along with your ways of working and your opportunity to to know more about us If you're not comfortable with eye contact, let us know at the start of your interview and if REMOTE, once we've said hello, feel free to turn your camera off until the end. We dress casually so informal attire is absolutely fine for onsite interviews. We want you to feel comfortable when you meet us and if there's anything else we can do to support your journey, just let us know. A note on how we use AI: We use AIonlyto transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI doesnottake part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. Location and working pattern: We recognise the value of flexibility and offer a hybrid working model wherever possible. Most employees work onsite three days per week, although some positions require a greater onsite presence due to the nature of the work and business need Regretfully, we very rarely sponsor VISA's due to the length of time and cost of sponsorship per application. #J-18808-Ljbffr

Fusion, the process that powers the sun and stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realizing fusion energy, partnering with industry and research organisations to achieve ground-breaking advancements. Our goal is to bring fusion electricity to the grid by developing the power stations of tomorrow and the skilled workforce to deliver them. The Computational Materials and Engineering (CME) Unit within UKAEA’s Computing Division delivers research, development and technical support across high-performance computing, engineering and scientific computing, AI, machine learning and advanced simulation technologies for the fusion programme. In this role, you will lead the development and maintenance of software capabilities supporting computational nuclear and multiphysics applications, while driving research, collaboration, funding and adoption of emerging technologies. You will provide technical and strategic leadership, manage projects and resources, represent UKAEA nationally and internationally, and help shape future research directions while developing expertise and collaborations across the Authority. • Plan and lead technical contributions to workstreams in modelling, simulation and uncertainty quantification activities for UKAEA programmes, • Review and provide approvals for the technical output of teams of 4-10 people, • Oversee development of state-of-the-art software suites, ensuring adherence to established quality standards, • Design technical strategy for development for, deployment on, and evaluation of new and emerging computing architectures, • Produce consistently high levels of high-impact output. Present research at conferences including regular oral or invited conference presentations, high quantity and quality of publications, generally two to three first author journal papers per year, • Collaborate with national and international partners on developing and evolving codes to exploit peta- and exa-scale systems, • Actively seek new research and funding opportunities, leading proposals. When successful implement new programmes supported by funds outside UKAEA, leading consortia, • Lead international projects, develop new collaborations, and maintain and grow our research at the international cutting edge, • Perform your own research into novel numerical methods and algorithms with applicability within fusion and beyond, • Act as a source of advice to other divisions and programmes. Support wider skills development, providing training across the organisation relating to specialism, • At least a doctorate degree (or equivalent qualification) in a computational, mathematical or physical science discipline with a strong publication track record or contribution to relevant software library (or equivalent experience in either a commercial or research environment), • Significant demonstrable experience using high-performance computing systems and of at least one compiled level language (e.g. C++, Fortran, C, Rust) or advanced scripting language (Julia, R, Swift Parallel Scripting), as evidenced through contributions to software packages, • Experience in working in and leading a distributed team in both mentoring and managing roles, either as a project or technical manager, • Significant demonstrable experience and international reputation in one or more relevant computational engineering fields. Solid foundation in mathematics, especially numerical analysis, demonstrated by extensive publication records or contributions to relevant software libraries, • Experience of the development and implementation of testing strategies (verification and validation) and an ability to assess new algorithms which could be applicable to fusion based codes, • Demonstrable significant experience in performing technical review and approval of contributions to large-scale software projects or journals, • A salary of £71,815 (inclusive of a £7,700 specialist allowance), • Up to 7% corporate performance bonus, • Final salary defined benefits pension scheme with an equivalent of 21.5% employer pension contribution, • 25 days annual leave plus 2.5 ‘privilege’ days; 8 Bank Holidays, • Additional 3 days of site closure over Christmas break, • Flexible working options plus family-friendly leave provisions UKAEA’s mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, inclusion and accessibility, and strive to ensure fair representation across our workforce. Please email if you have any questions or require adjustments to help you participate fairly in our recruitment process, for example changes to the way we interview or share information. As a Disability Confident Employer, we are committed to providing an inclusive and accessible recruitment experience for all candidates. We particularly encourage applications from groups currently underrepresented in STEM, including women and people from diverse ethnic backgrounds. All appointments are made on merit and further information can be found here. £71,815 (inclusive of Specialist Allowance) + excellent benefits including outstanding pension Programme Department Computational Materials and Engineering Discipline Engineering Site Location Type of Employment Full-time Reference Number REF4624Q #J-18808-Ljbffr

University of Oxford invites applications for a Postdoctoral Research Associate in Applied Mathematics to work with Professor Maria Bruna at the Mathematical Institute. This is a full-time, fixed-term 24-month position, funded by a Royal Society University Research Fellowship. The successful candidate will contribute to the project on Large-scale dynamics for strongly interacting particle systems, combining modelling, analysis and computation. #J-18808-Ljbffr

University of Oxford invites applications for the Hooke/Titchmarsh Research Fellow (Complex Systems). This full-time, fixed-term post supports an independent research programme in mathematics or physics, focusing on Complex Systems, Random Matrix Theory, and Statistical Mechanics. Teaching duties may be required up to three hours weekly for 24 weeks per academic year. Applicants should hold or be near completion of a PhD, demonstrate a strong publication record, and propose a research plan that #J-18808-Ljbffr

University of Oxford invites applications for the Hooke Research Fellowship in applied mathematics. This full-time fixed-term position supports an independent research programme and collaboration with leading researchers at the Mathematical Institute. Ideal candidates will hold a PhD in mathematics or a related discipline, demonstrate a strong publication record, and be prepared to contribute up to three hours of teaching weekly. Salary ranges and competitive resources are provided. #J-18808-Ljbffr

THE OPPORTUNITY Are you a commercially minded, technically curious professional who enjoys turning complex ideas into real business opportunities? This is an exciting opportunity to join an innovative and growing organisation in a senior strategic role, working closely with the CEO and senior leadership team to identify opportunities, develop relationships and turn strategic ideas into measurable business outcomes. You'll sit at the heart of a varied range of projects, bringing together technology, business development, marketing, AI and strategic planning . This is a role for someone who enjoys variety, can see the bigger picture but isn't afraid to get into the detail, and who naturally asks the right questions to understand how things can be improved. SALARY & BENEFITS ££Competitive depending on experience and suitability Hybrid working – approximately 60% office / 40% home Direct exposure to and collaboration with senior leadership Significant opportunity to influence business strategy and growth Opportunity to work at the intersection of technology, AI, science and commercial development High level of autonomy, ownership and responsibility Opportunity to lead varied, high-profile strategic projects A role where your ideas can directly influence how the organisation develops and operates Supportive and collaborative working environment Opportunity to develop your career within an innovative and technically driven organisation WHAT YOU'LL BE DOING Lead strategic business discussions, developing relationships and identifying opportunities for growth. Build and develop commercial opportunities through to successful agreements and delivery. Take complex discussions, ideas and priorities and turn them into clear, structured plans and actions. Manage strategic projects, timelines and stakeholder communication to keep initiatives moving forward. Support the development and delivery of marketing strategy, including campaigns, social media and events. Identify opportunities to automate processes and improve efficiency using AI and emerging technologies . Ensure key opportunities, communications and activities remain aligned with wider business objectives. Oversee marketing activity and ensure communications, events and messaging support strategic goals. Work closely with senior leadership and support the CEO's team to ensure actions and projects remain focused on strategic priorities. Bring fresh thinking and identify new ways of working, improving processes and delivering results. ABOUT YOU We're looking for someone who is bright, commercially aware, technically curious and highly proactive . You'll ideally have: A strong technical background and genuine interest in technology, software, science or mathematics . The ability to understand complex subjects quickly, challenge assumptions and ask insightful questions. A proactive, self-motivated approach with the confidence to use your own initiative. Experience managing projects and delivering strategic initiatives. Excellent organisation skills, with the ability to manage multiple priorities and deadlines. Strong commercial judgement and the ability to find practical solutions to complex problems. Excellent communication skills and the confidence to engage with senior stakeholders both internally and externally. The ability to adapt your communication style to different audiences. Previous management or leadership experience would be advantageous, particularly if you enjoy mentoring and developing others. Experience leading cross-functional projects involving systems, software or technology would be beneficial. WHY THIS ROLE? This is a genuinely varied strategic position where no two days are likely to be the same . You'll have the opportunity to work closely with senior leadership, influence business direction and take ownership of projects from initial idea through to execution. You'll also be encouraged to explore new technologies, including AI, to find smarter and more effective ways of working. If you're someone who enjoys solving problems, challenging thinking, connecting people and ideas, and turning strategy into action , this could be an excellent next step. THE DETAILS Location: Oxfordshire Working Pattern: Hybrid – approximately 60% office / 40% home Contract: Full-time, Permanent Reporting to: CEO Ready to take your next step? If you're looking for a role where you can combine commercial thinking, technical curiosity and strategic influence , we'd love to hear from you. TPBN1_UKTJ

Senior Software Engineer - Modern C++ / Linux Location: Oxford (hybrid, 3 days a week on site) Salary: Up to £75,000 plus benefits KO2's client is a long-established UK manufacturer of advanced scientific instruments. Universities, research centres and industry around the world use them to study materials at the nanoscale. Their systems support research in quantum computing, dark matter and new materials, so your software will be used in cutting-edge science. The business is growing, has a stable future, and still designs and manufactures everything in the UK. This is a new role created to grow the software team. As Senior Software Engineer, you'll be a technical leader in an established backend team. You'll help the Software Manager guide the team and develop less experienced engineers. You'll be the main technical authority for the backend software that controls the company's instruments. It's a Modern C++ (C++17) application running on a Debian Linux industrial PC that acts as a local edge server. It coordinates communication with pumps, valves, pressure gauges, temperature sensors and other devices, so the system reaches the state the user has asked for. Key responsibilities Design, develop and maintain backend software in Modern C++ on Linux, within an Agile team Own and develop the APIs used by the web GUI and by customer scripts Write automated tests and unit tests in Python Take technical responsibility for solutions on specific projects, and run and take part in design reviews Contribute to architectural design and act as the team's go-to expert in your areas of strength Lead, mentor and develop less experienced software engineers Work with scientists, engineers and product managers to turn requirements into tested software Support existing and new products, including technical support during installation and operation of customer systems Keep code repositories and documentation up to date so that others can maintain and extend the software Essential skills and experience Strong commercial experience of Modern C++ on Linux. C++14 or newer required Experience of server-client architecture and backend development Python skills, particularly for automated testing Knowledge of Ethernet, TCP/IP and other communication protocols At least 5 years of commercial software development experience, with the technical depth to make high-level design decisions Excellent communication skills, including leading technical discussions and working with other departments A degree in Software Engineering, Computer Science, Mathematics or a scientific subject Desirable skills Experience of publish-subscribe messaging, ideally WAMP Industrial or instrumentation protocols such as Modbus, CAN or RS232, and interfacing with devices such as pumps, sensors and actuators Developing application-level device drivers for Linux Cloud infrastructure (Azure or AWS) and containerisation Apply today with an up to date CV and a member of the KO2 team will be in touch to discuss. TPBN1_UKTJ

Location: Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG We invite applications for a Postdoctoral Research Associate in Applied Mathematics to work with Professor Maria Bruna at the Mathematical Institute, University of Oxford. This is a full-time, fixed-term position for 24 months, funded by a Royal Society University Research Fellowship. The starting date of the position is flexible, between January 2027 and October 2027. The successful candidate will contribute to the research programme “Large-scale dynamics for strongly interacting particle systems”, investigating how collective behaviour emerges from stochastic systems of interacting particles. The research combines mathematical modelling, asymptotic analysis, probability theory, partial differential equations and computational approaches to derive and study macroscopic descriptions of complex particle systems. Topics include interacting diffusions, exclusion processes on lattices and active matter systems, with applications ranging from transport processes to collective behaviour in biological systems. The post offers flexibility to develop research directions aligned with the candidate’s expertise and the project objectives, within an active, collaborative research environment involving national and international collaborators. Applicants should hold, or be close to completing, a PhD/DPhil in Mathematics or a related discipline, with a strong background in areas such as partial differential equations, probability, stochastic processes, asymptotic analysis or mathematical modelling. Previous experience in every aspect of the project is not required. The successful candidate will undertake original research, contribute to publications and presentations, and participate in wider research-group activities. Where grant conditions and departmental need allow, there may be opportunities for teaching, not exceeding three hours per week for 24 weeks of the year, with additional remuneration. We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award. We welcome applications from all backgrounds, particularly from women and ethnic minorities. Please direct informal enquiries to , quoting vacancy reference 189691. Only applications received before 12.00 noon UK time on 7th December 2026 will be considered. £42,434 to £48,700 per annum #J-18808-Ljbffr

We’re looking for a Software Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical Defence and National Security challenges. In this role, you’ll work alongside talented software engineers, scientists, designers, and product specialists to build elegant, maintainable, and impactful data-centric solutions. You'll join one of our product teams, helping design and deliver AI-powered software to support user adoption and deployment of our product. You’ll work closely within a multidisciplinary team to deliver high-quality, impactful technology that blends innovation with real-world value. Mind Foundry is at an exciting stage of growth, with increasing demand for AI-enabled capability across our markets. We specialise in helping customers make sense of the ever-increasing volumes of data collected by sensors, platforms and systems at the speed of relevance. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. As a Software Engineer, you’ll work on problems that are technically challenging, operationally important and genuinely meaningful. You will help turn advanced AI and ML approaches into deployable capability that can support better, faster decision-making in demanding real-world environments. What makes the work distinctive is the combination of technical depth, practical engineering and responsible delivery. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: • You will be required to travel to and work from client sites and partner locations. When not working onsite, this role can be office-based or hybrid from our Summertown, Oxford office., • You will need to hold existing or be eligible for UK Security Vetting (SC), details of which can be found on the Gov UK website., • Design, build, and maintain scalable web applications using modern technologies., • Collaborate cross-functionally with engineers, designers, and scientists to deliver new product features and client solutions., • Own technical delivery, managing development tasks from design through to deployment., • Contribute to architectural decisions that shape the direction of our platforms and consulting projects., • Champion software quality, implementing best practices for testing, documentation, and CI/CD., • Participate in Agile development, contributing to sprint planning, reviews, and retrospectives., • Foster continuous learning, knowledge sharing, and technical excellence across the team., • 2+ years of commercial software engineering experience across back-end systems and platform., • Strong proficiency in Python, APIs, and relational databases., • Experience developing and maintaining full-stack web applications., • The ability to work independently and manage workload effectively in a contract-based environment., • Experience working in an Agile or iterative development process., • Understanding of DevOps principles, tools, and culture., • A degree in a technical discipline (e.g., Computer Science, Mathematics, Physics) or equivalent experience., • Strong communication skills and the ability to work effectively in cross functional teams., • Strong familiarity with CI/CD, testing frameworks, and deployment automation., • Exposure to Machine Learning, AI, or Data Science, especially deploying ML systems in production., • Frontend: React, TypeScript, • Infrastructure: Kubernetes, Cloud-native environments, • Knowledge of Kubernetes, Helm and Docker/containerisation concepts, with hands‑on experience designing, deploying, and maintaining Kubernetes environments in production., • Broader software engineering experience such as scripting, UI/UX, design, or data engineering., • Experience working directly with clients or end users to gather requirements and deliver tailored solutions., • Experience developing embedded software, FPGA's or C/C++. While we think the above experience is important, we’re keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. At Mind Foundry, people have the opportunity to work on problems that are technically challenging, operationally important and genuinely meaningful. We are a close-knit, multidisciplinary team working on complex problems where advanced AI has the potential to make a meaningful difference in the real world. Our work sits at the intersection of research, engineering, product, customer need and operational impact, which means everyone can contribute beyond their job title. What makes Mind Foundry different is the way we combine technical excellence with pragmatism, responsibility and partnership. We are ambitious about what AI can achieve, but thoughtful about how it should be designed, deployed and trusted. Our teams work closely together, challenging ideas constructively, learning quickly and staying focused on building capability that is useful, credible and operationally relevant. As a growing business, we offer the opportunity to have visible impact. You will be close to the customers, the technology and the decisions that shape our direction. We value people who ask good questions, bring others with them, and take ownership. This is an exciting time to join Mind Foundry. Demand for trusted, deployable AI capability is increasing, our products and partnerships are maturing, and our work is helping to shape how advanced machine learning can support Defence and National Security in challenging operational environments. If you are motivated by meaningful work, collaborative teams and the chance to help build something with real-world importance, Mind Foundry is a place where you can make a genuine contribution. We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You’ll enjoy a competitive compensation package and great benefits such as: • EMI options scheme, • 25 days of annual leave plus Bank Holidays, • Salary Sacrifice Pension scheme, • Private Healthcare (including dental and optical cover), • Group Life Cover at three times your annual salary, • Enhanced Parental and Sickness Leave, • Workplace Nursery Scheme, • Pet friendly office, • Professional and personal development For more information, please visit our website www.mindfoundry.ai or email • Initial discussion with the People team, • TestDome coding exercise, • 60 minute interview with two members of the Science & Engineering Team, • 90 minute technical interview, including a 10 minute presentation and live coding exercise, • In person meet the team at our Summertown, Oxford office #J-18808-Ljbffr

Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG FULL TIME, Fixed Term (36 Months) The prestigious Hooke Research Fellowship provides an ideal opportunity for candidates to pursue an independent research programme in applied mathematics, and to join a large existing cohort of leading researchers on Fellowship programmes at the Mathematical Institute. The Fellowship is full-time and fixed-term for up to 36 months; applications for job shares or for part‑time working to accommodate family circumstances will be considered. Candidates will have research interests compatible with those of our current faculty in the following research groups: Mathematical Biology, Machine Learning and Data Science, Mathematical and Computational Finance, Numerical Analysis, or the Centre for Industrial and Applied Mathematics (OCIAM). You must clearly state at the start of your supporting letter which one research group you feel is closest to your work. You may also indicate a second-choice research group. Candidates whose research straddles the two schemes are encouraged to apply separately for both positions. • office space, • desktop computer, • £3,000 per annum for travel and other academic expenses To aid the development of their academic profile, Fellows will be required to contribute up to three hours of teaching per week for the 24 weeks of each academic year, averaged over the period of the Fellowship to allow for extended visits elsewhere. The exact nature of teaching will be determined by departmental need and may include teaching in a college to provide cover for a member of faculty. Candidates will have, or be close to completing, a PhD/DPhil in mathematics or a related discipline. They must demonstrate independence and the ability to undertake research of the highest academic standard, an outstanding publication record commensurate with career stage, and a realisable and relevant research plan which would enhance the research profile of the Mathematical Institute. Further selection criteria are available in the job description. We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award. We welcome applications from all backgrounds, particularly from women and ethnic minorities. Please direct informal enquiries to , quoting vacancy reference 189333. £43,984 to £47,779 per annum Only applications received before 12.00 noon UK time on Tuesday 17th November will be considered. Interviews are anticipated to take place in early January 2027. #J-18808-Ljbffr

This position works with senior management to take, further develop and drive delivery of strategic business opportunities and internal initiatives. It involves incisive understanding of complex technical and business scenarios to keep focus energetically in working with a wide variety of groups and customers and building solutions. CEO • Leading strategic business discussions to drive relationship development, negotiate opportunities, and secure new business agreements, • Transforming discussions, ideas and company priorities into clear and structured outputs that enable better decision-making and execution across the business, • Managing strategic project timelines and stakeholder communication, • Driving the execution of marketing strategy including approach, campaigns, social media and event engagement, • Identifying activities to be automated, and implementing with AI/Wolfram technologies, • Aligning key leads, opportunities and communication efforts with business objectives through to execution, • Overseeing the marketing output and aligning communications, visions and events with strategic goals, • Supporting the CEO’s administration team ensuring that actions align with strategic goals, • Strong technical background and interest in technology, software, science or mathematics, • Incisiveness of understanding, ability to cross-examine and clarify, • Self-motivated and a pro-active approach to all tasks. Able to use own initiative, • Experience of project management methodologies and strategic project delivery, • Highly organised – able to prioritise workload, complete multiple tasks to deadlines and work under pressure, • Perceptive, with the ability to apply judgement, common sense and find practical solutions, • Able to communicate well at high level both externally and internally. Ability to adapt style of communication accordingly, • Management experience is an advantage, enjoys leading and mentoring a group, • Experience leading cross-function projects including system/program usage is advantageous This full-time role offers hybrid remote. Office:Home / 60:40 Wolfram is an equal opportunity employer and values diversity at its company. #J-18808-Ljbffr

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 CO₂, • 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. Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose‑made facility in the Oxford Science Park, currently under construction. Once complete, this state‑of‑the‑art facility will include more than 40,000 m² of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. At EIT we are seeking an experienced and detail orientated Bio-ML Scientist to develop AI and machine learning systems that drive GBI's scientific aims, working alongside researchers and technical staff to address key questions in biological design and discovery. The post-holder will work with multiple data modalities with a focus on biological system modelling and optimisation. This is an exceptional opportunity to join GBI's Technology Hub on ML Engineering, a fast‑growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking for a colleague who thrives in a team and cares deeply about biological questions, hypotheses, and a biology-centric approach to AI/ML engineering. The role requires expertise in machine learning applied to biological design or discovery, and prior exposure to collaboration with wet lab scientists. We are particularly interested in candidates with experience in combining AI/ML and genome‑scale metabolic models. Our team ethos is based on mutual learning, strong peer‑to‑peer support, and a deep sense of scientific curiosity and ambition. • Research, design and build AI and machine learning systems to address GBI's research challenges in synthetic biology, genome design, and molecular evolution, • Lead and contribute to collaborative projects with other MLEng team members, GBI researchers and staff, relevant colleagues across EIT, and external collaborators, • Work closely with GBI scientists in co‑creation of research projects and development of fit‑for‑purpose computational solutions, • Provide expert computational biology know‑how to GBI researchers and scope novel avenues of research, • Interact with the Bioinformatics and Scientific Compute platform teams to support the development of GBI data flows and MLOps, • Ensure compliance with best practices in ML engineering, including robust and reproducible training pipelines, as well as versioning and documentation of data, models, and code, • Keep abreast of progress in AIxBio and make use of strategic learning opportunities, • Lead and contribute to research publications in prestigious venues, • Organise and prioritise work, operating at the highest standard in the face of multiple competing deadlines, • PhD degree in a suitable field including, but not limited to, molecular biology, biochemistry, mathematics, computer science, computational biology, engineering, or related discipline., • Experience in building machine learning models for biological design or discovery tasks, involving processing, visualising, and analysing various data modalities., • Ability to abstract high‑level biological questions and translate them into actionable computational tasks, evidenced by previous achievements in a comparable industry role, or a promising publication record in scientific journals and technical conferences., • Ability to learn quickly and dive into a range of problem spaces and computational methods., • Ability to work and communicate with and within diverse and multidisciplinary teams., • Fluency in one or more scientific programming languages (Python, R, Julia, etc.) with experience in best practices in machine learning, including documentation, • Excellent written and oral communication skills for diverse audiences, including colleagues without a computational background, • Excellent time management skills across competing tasks requiring rapid context switching, • Two years of industry or postdoctoral experience in similar roles, • Proven experience with integration of machine learning methods with genome‑scale metabolic models, • Proven experience with best practices and established software pipelines for genome‑scale metabolic modelling, including automated model construction from ‘omics data, flux balance analysis, flux sampling, sensitivity analysis, and related methods in constraint‑based modelling, • Travel Allowance, • Bonus, • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services, • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case‑by‑case basis, • You will live in, or within easy commuting distance of, Oxford (or be willing to relocate), • Hybrid working model #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, 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 CO₂, • 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. Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting‑edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long‑term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose‑made facility in the Oxford Science Park, currently under construction. Once complete, this state‑of‑the‑art facility will include more than 40,000 m² of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT’s Humane Endeavors. At EIT we are seeking an experienced and detail orientated Bio-ML Scientist to develop AI and machine learning systems that drive GBI’s scientific aims, working alongside researchers and technical staff to address key questions in biological design and discovery. The post-holder will work with multiple data modalities with a focus on biological system modelling and optimisation. This is an exceptional opportunity to join GBI’s Technology Hub on ML Engineering, a fast‑growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking for a colleague who thrives in a team and cares deeply about biological questions, hypotheses, and a biology‑centric approach to AI/ML engineering. The role requires expertise in machine learning applied to biological design or discovery, and prior exposure to collaboration with wet lab scientists. We are particularly interested in candidates with experience in combining AI/ML and genome‑scale metabolic models. Our team ethos is based on mutual learning, strong peer‑to‑peer support, and a deep sense of scientific curiosity and ambition. • Research, design and build AI and machine learning systems to address GBI’s research challenges in synthetic biology, genome design, and molecular evolution., • Lead and contribute to collaborative projects with other MLEng team members, GBI researchers and staff, relevant colleagues across EIT, and external collaborators., • Work closely with GBI scientists in co‑creation of research projects and development of fit‑for‑purpose computational solutions., • Provide expert computational biology knowhow to GBI researchers and scope novel avenues of research., • Interact with the Bioinformatics and Scientific Compute platform teams to support the development of GBI data flows and MLOps., • Ensure compliance with best practices in ML engineering, including robust and reproducible training pipelines, as well as versioning and documentation of data, models, and code., • Keep abreast of progress in AIxBio and make use of strategic learning opportunities., • Lead and contribute to research publications in prestigious venues., • Organise and prioritise work, operating at the highest standard in the face of multiple competing deadlines., • PhD degree in a suitable field including, but not limited to, molecular biology, biochemistry, mathematics, computer science, computational biology, engineering, or related discipline., • Experience in building machine learning models for biological design or discovery tasks, involving processing, visualizing, and analysing various data modalities., • Ability to abstract high‑level biological questions and translate them into actionable computational tasks, evidenced by previous achievements in a comparable industry role, or a promising publication record in scientific journals and technical conferences., • Ability to learn quickly and dive into a range of problem spaces and computational methods., • Ability to work and communicate with and within diverse and multidisciplinary teams., • Fluency in one or more scientific programming languages (Python, R, Julia, etc.) with experience in best practices in machine learning, including documentation., • Excellent written and oral communication skills for diverse audiences, including colleagues without a computational background., • Excellent time management skills across competing tasks requiring rapid context switching., • Two years of industry or postdoctoral experience in similar roles., • Proven experience with integration of machine learning methods with genome‑scale metabolic models., • Proven experience with best practices and established software pipelines for genome‑scale metabolic modelling, including automated model construction from ‘omics data, flux balance analysis, flux sampling, sensitivity analysis, and related methods in constraint‑based modelling., • Travel Allowance, • Bonus, • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services, • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case‑by‑case basis., • You will live in, or within easy commuting distance of, Oxford (or be willing to relocate)., • Hybrid working model #J-18808-Ljbffr

We are seeking talented postdoctoral researchers to take up exciting Fellowship opportunities at the Mathematical Institute. The prestigious Titchmarsh Research Fellowships provide an ideal opportunity for candidates to pursue an independent research programme in pure mathematics, and to join a large existing cohort of leading researchers on Fellowship programmes at the Mathematical Institute: people/list/research_fellow The Fellowships are full-time and fixed-term for up to 36 months; applications for job shares or for part-time working to accommodate family circumstances will be considered. Candidates will have research interests compatible with those of our current faculty in the following research groups: Algebra, Combinatorics, Geometry, History of Mathematics, Logic, Number Theory, OxPDE, Functional Analysis, Stochastic Analysis, or Topology. You must clearly state at the start of your supporting letter which one research group you feel is closest to your work. You may also indicate a second-choice research group. Candidates whose research straddles the two schemes are encouraged to apply separately for both positions. The successful applicants will be talented researchers who have already produced excellent research during their PhD and in any postdoctoral positions. Securing a Fellowship will offer you the freedom to conduct your own research programme. Fellows will have access to office space, a desktop computer and £3,000 per annum for travel and other academic expenses. To aid the development of their academic profile, Fellows will be required to contribute up to three hours of teaching per week for the 24 weeks of each academic year, averaged over the period of the Fellowship to allow for extended visits elsewhere. The exact nature of teaching will be determined by departmental need and may include teaching in a college to provide cover for a member of faculty. Candidates will have, or be close to completing, a PhD/DPhil in mathematics or a related discipline. They must demonstrate independence and the ability to undertake research of the highest academic standard, an outstanding publication record commensurate with career stage, and a realisable and relevant research plan which would enhance the research profile of the Mathematical Institute. Further selection criteria are available in the job description. We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award. We welcome applications from all backgrounds, particularly from women and ethnic minorities. Only applications received before 12.00 noon UK time on Tuesday 17th November will be considered. Interviews are anticipated to take place in early January 2027. This employer is not accepting applications through MathHire.org. Please follow the instructions above and refer to MathHire.org in your application. #J-18808-Ljbffr

We invite applications for a Postdoctoral Research Associate in Applied Mathematics to work with Professor Maria Bruna at the Mathematical Institute, University of Oxford. This is a full-time, fixed-term position for 24 months, funded by a Royal Society University Research Fellowship. The starting date of the position is flexible, between January 2027 and October 2027. The successful candidate will contribute to the research programme “Large-scale dynamics for strongly interacting particle systems”, investigating how collective behaviour emerges from stochastic systems of interacting particles. The research combines mathematical modelling, asymptotic analysis, probability theory, partial differential equations and computational approaches to derive and study macroscopic descriptions of complex particle systems. Topics include interacting diffusions, exclusion processes on lattices and active matter systems, with applications ranging from transport processes to collective behaviour in biological systems. The post offers flexibility to develop research directions aligned with the candidate’s expertise and the project objectives, within an active, collaborative research environment involving national and international collaborators. Applicants should hold, or be close to completing, a PhD/DPhil in Mathematics or a related discipline, with a strong background in areas such as partial differential equations, probability, stochastic processes, asymptotic analysis or mathematical modelling. Previous experience in every aspect of the project is not required. The successful candidate will undertake original research, contribute to publications and presentations, and participate in wider research-group activities. Where grant conditions and departmental need allow, there may be opportunities for teaching, not exceeding three hours per week for 24 weeks of the year, with additional remuneration. We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award. We welcome applications from all backgrounds, particularly from women and ethnic minorities. Only applications received before 12.00 noon UK time on 7th December 2026 will be considered. #J-18808-Ljbffr

At Indra Space Systems UK, we provide end-to-end solutions that help connect, observe and understand the world, enabling organisations to respond more effectively and protect what matters most. As part of a global leader in advanced technology and space systems, we are committed to delivering innovative capabilities across the space sector. At Indra Space Systems UK, our values guide everything we do, from developing industry-leading technology to supporting our customers around the world. Innovation - Our capacity for innovation, cutting-edge solutions, and specialised team of professionals enable us to drive a safer, more connected future through technology. Trust - We work with strength, commitment, and reliability, delivering quality solutions to build trust with customers, employees, partners, investors, and society. Connection - We harness the power of collaboration, connect ideas and solutions, and adapt to our customers' needs, supporting them on the path to a better future. Foresight - We anticipate future needs to make the world safer and more connected, transforming our experience and knowledge into solutions for a better tomorrow. As a Senior GNC/AOCS Engineer within the Flight Systems Business Unit, you will be supporting growth in the fields of Guidance, Navigation and Control (GNC), including Attitude and Orbit Control Systems (AOCS) and Failure Detection, Isolation and Recovery (FDIR). The GNC/AOCS Competence Centre focuses on the design, development, specification and validation of autonomous systems, including GNC and AOCS solutions, for a wide range of aerospace and aeronautical platforms including but not limited to launch vehicle systems, satellite formation flying, rendezvous, in-orbit servicing (IOS) and active debris removal (ADR) and system and mission design. • Supporting with specification, design, implementation and validation of AOCS and FDIR algorithms, to be applied to Earth-observation, interplanetary and ADR/IOS satellites, launchers, and re-entry vehicles., • Model-based design implementation of GNC/AOCS algorithms, • Simulator design, implementation and testing, • Simulation of dynamic systems, • Mathematical modelling, • Specification and validation of GNC/AOCS solutions, • Analysis and trade-off of hardware solutions, • Interface with the overall system team, • Technical and team management, • A recognised degree in Engineering (Mechanical, Aerospace, Electrical, Electronic) or a related discipline such as Physics or Mathematics, • Minimum of five years' experience applying relevant engineering principles within the domains associated with the role (relevant MSc or PhD qualifications will also be considered), • Strong expertise in the control and simulation of dynamic systems, • Practical experience developing aeronautical or aerospace GNC/AOCS and FDIR solutions, with experience on ESA or other European programmes considered advantageous, • Ability to rapidly understand new concepts and apply them to complex engineering challenges, • Strong programming capability, • Experience using MATLAB and Simulink Postgraduate qualifications (MSc or PhD) or teaching experience in aeronautical or aerospace engineering, providing a strong foundation in at least two of the following areas: • Orbital mechanics and atmospheric flight dynamics, • FDIR (Failure Detection, Isolation and Recovery) design, implementation and validation, • Classical and robust control techniques, including fixed-structure H∞ synthesis, μ-analysis and LPV control, • Flight operations, • Model-Based Systems Engineering (MBSE), • Experience supporting flight operations within ESA or other European aerospace programmes, • Experience in atmospheric flight applications, • Strong theoretical understanding of GNC/AOCS principles and methodologies, • Knowledge of multivariable robust control techniques, • Programming experience in Python and C, • Pension, • Hybrid working - typically 3 days in the office, • 40 hours/week - Monday - Friday, • 36 days holiday (including bank holidays) #J-18808-Ljbffr

Direct message the job poster from MARS Recruitment Lead Software Engineer | C++ | Python | Linux Oxfordshire | Hybrid | up to £75,000pa plus benefits Do you enjoy technically leading and mentoring Software Engineers utilising C++ & Python on Linux, passing on your knowledge and experience to help nurture and develop future Engineers? If so, this Lead Software Engineer role will be perfect for you. Our client is at the forefront of scientific research industry developing instrumentation and tools to aid ground‑breaking science. They now seek a highly dynamic Lead Software Engineer who thrives in a fast‑paced, evolving environments and can seamlessly adapt to changing priorities. The ideal candidate will not only bring technical expertise and architectural vision but also excel in collaboration and stakeholder engagement. Exceptional interpersonal skills are essential, as this role involves working closely with cross‑functional teams, mentoring engineers, and effectively communicating complex concepts to both technical and non‑technical audiences. We’re looking for someone who can inspire, influence, and drive alignment while fostering a positive and innovative team culture. • A degree in a Software Engineering, Mathematics or Science/Materials subject, • Experience in Linux based software application development using modern C++, • Experience with network and other communication buses., • Experience with tools such as CMake Our client is offering a hybrid working arrangement with 3 days in their offices and 2 days from home. There is flexible start and finish times so you can plan your day around your preferred hours. For more information on the client, products, career development, benefits etc, please send MARS a copy of your CV or drop Lee Cherrill a LinkedIn connection request or contact him through the MARS Recruitment website. MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven’t heard back in this time your application has been unsuccessful at this time. Mid‑Senior level Full‑time • Information Technology, • Manufacturing, • Engineering, • Measuring and Control Instrument Manufacturing, • Manufacturing, • Software Development #J-18808-Ljbffr

University of Oxford Oxford, United Kingdom The University of Oxford is recruiting for a research-focused position within its Department of Computer Science, contributing to advanced work in quantum computing, formal verification, and software engineering for quantum systems. The role supports cutting-edge research aimed at improving the reliability, correctness, and scalability of quantum computing technologies through rigorous computational and theoretical methods. The postholder will work within a highly interdisciplinary research environment focused on quantum information science, verification methodologies, and software tools that support quantum algorithm development and analysis. The position involves contributing to ongoing research projects that explore how quantum programs can be formally specified, tested, and verified to ensure correctness in emerging quantum hardware and software systems. The role includes active participation in research design, implementation of experimental software systems, and collaboration with academic researchers and international partners in quantum computing and theoretical computer science. The successful candidate will contribute to peer-reviewed publications, research dissemination, and development of open-source or experimental tools supporting the project’s scientific objectives. This is a research-intensive appointment within one of the world’s leading institutions in computer science and quantum computing research, offering the opportunity to work at the forefront of foundational and applied quantum technologies. Applicants are expected to hold a strong academic background in computer science, mathematics, physics, or a closely related discipline. A relevant PhD or equivalent research experience is typically required for senior research roles. Candidates should demonstrate a strong research track record or clear potential in areas related to quantum computing, formal methods, or software verification. Experience in academic research environments and familiarity with interdisciplinary computational science projects is desirable. Applicants should be able to work independently while contributing effectively to collaborative research teams. • Strong knowledge of quantum computing concepts and quantum information theory, • Experience in formal methods, program verification, or theoretical computer science, • Strong programming ability in relevant languages used for scientific or quantum computing research, • Experience developing research software tools or experimental prototypes, • Ability to contribute to academic publications and technical reports, • Strong analytical and mathematical reasoning skills, • Ability to work in interdisciplinary, collaborative research environments Salary details Not specified in the provided listing summary page (salary typically depends on grade and experience as per University of Oxford research staff pay scales) Application Deadline Not specified on the provided vacancy preview page (deadline is set within the full advert and application portal) #J-18808-Ljbffr

We are seeking talented postdoctoral researchers to take up an exciting Fellowship opportunity at the Mathematical Institute. The Fellowship is full-time, and fixed-term for up to 36 months; applications for job shares or for part-time working to accommodate family circumstances will be considered. Candidates will have a background in mathematics or physics and a record of outstanding research in the mathematical theory of Complex Systems, including Random Matrix Theory and its Applications, and Statistical Mechanics, interpreted broadly. They will complement, enhance and diversify existing strengths within the Mathematical Physics Research Group, as well as other related groups in the Mathematical Institute. Members of the Mathematical Institute are often associated with several Research Groups. Successful applicants will be talented researchers, who have already produced excellent research during their PhD and in any postdoctoral positions. Securing a Fellowship will offer you the freedom to conduct your own research programme. To aid the development of their academic profile, Fellows will be required to contribute up to three hours of teaching per week for the 24 weeks of each academic year to support the department, averaged over the period of the Fellowship to allow for extended visits elsewhere. (The exact nature of this teaching will be in accordance with departmental need as determined by the Head of Department, noting that the department may require you to teach in a college to provide cover for a member of faculty). Candidates will beexpected to hold, or be close to completion of, a doctorate in mathematics or a related discipline They should also show evidence of independence and the ability to undertake research of the highest academic standard, hold an outstanding record of papers published in major international journals (commensurate with career stage), and have a realisable and relevant research plan which would enhance the research profile of the Mathematical Institute. Additional information about the posts, and a full list of selection criteria, are available in the job descriptions. We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award. Please direct informal enquiries to the Recruitment Coordinator (email: ), quoting vacancy reference 188672. Only applications received before 12.00 noon UK time on 19 October 2026 will be considered. #J-18808-Ljbffr

Location: Oxford (hybrid, 3 days a week on site) Salary: Up to £75,000 + benefits KO2's client is a long-established UK manufacturer of advanced scientific instruments, used worldwide to study materials at the nanoscale. Their systems support research into quantum computing, dark matter and new materials. The business is growing, and it still designs and manufactures everything in the UK. This is a newly created senior role in an established backend team. You'll be the technical authority for the software that controls the company's instruments. It's a multithreaded Modern C++ (C++17) application running on a Debian Linux edge server, coordinating pumps, valves, sensors and gauges. You'll also support the Software Manager in leading and mentoring the team. You’ll: • Design and develop multithreaded backend software in Modern C++ on Linux, within an Agile team, • Own the APIs used by the web GUI and customer scripts, • Write automated tests in Python, • Lead design reviews and help shape the architecture, • Mentor less experienced engineers, • Work with scientists and engineers, and support customer installations, • 5+ years' commercial software development experience, • In-depth Modern C++ (C++14 or newer), building multithreaded applications on Linux, • Python competency for automated testing, • Familiarity with working with scientific instruments, • Server-client and backend development experience, • Knowledge of Ethernet, TCP/IP and other communication protocols, • A degree in Software Engineering, Computer Science, Mathematics or a science subject scientific simulation experience and experience with AI tooling. #J-18808-Ljbffr

the front of the grid.Job DescriptionAbout the RoleA CFD simulation is only as useful as your confidence in it, and that is where this role comes in. As a CFD Engineer in our Aerodynamics Department, you will help build, sharpen and protect the CFD capability the whole team relies on. You will develop new models, refine existing ones and support the processes used to run CFD across the department, covering external flows, internal flows, and thermal modelling.A big part of the job is correlation. Working within the CFD group, you will help to track down miscorrelations between CFD and wind tunnel or track measurements, work out why they exist, and tune the CFD recipes to close the gap. You will also be a trusted point of contact for aerodynamicists running bespoke simulations, offering guidance when they need it. Accurate, trusted CFD shortens the development cycle and gets more performance onto the car, all within the Aerodynamic Testing Restrictions. When the loop works, everyone moves faster. include: • Developing, refining and running CFD models and tools across external, internal and thermal disciplines, • Investigating miscorrelations against wind tunnel and track data, establish root cause and recommend corrective action, • Tuning and enhancing department CFD recipes, and developing and validating methodologies that improve accuracy, efficiency and repeatability, • Writing and reviewing Python and shell tooling for CFD analysis, automation and correlation, following our source control and code review standards, • Document model, methodology and correlation changes so results are traceable and reusable across the department You are curious and methodical, with the patience to chase a discrepancy until it finally makes sense. You have a solid grounding in fluid mechanics and numerical methods, and you understand the limitations of simulation as well as its strengths. You are comfortable breaking down large, noisy data sets, and you can explain your findings clearly and credibly to colleagues who rely on them. Given the nature of Formula 1, a flexible mindset and a drive to continuously improve are essential. • A degree in engineering, physics, mathematics or a related numerical discipline, or equivalent demonstrable experience, • Experience setting up, running and interpreting CFD simulations, including geometry preparation, meshing and solver configuration, • Working knowledge of Python and Linux shell scripting, and a willingness to adopt best-practice code development, • Excellent analytical skills, attention to detail and strong written and verbal communication, • Comfortable in a customer-facing role, • It would be great, but is not essential, if you also have:, • Experience in Formula 1, motorsport, automotive, aerospace or a comparable simulation environment, • Experience correlating simulation output against wind tunnel, rig or track data, • Experience with source control, design review and code review, • Exposure to internal flow, thermal or heat-transfer modelling alongside external aerodynamics SummaryType: Full-timeFunction: EngineeringExperience level: AssociateIndustry: Sports Atlassian Williams F1 Team is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments. Company DescriptionFor almost 50 years, Williams Racing has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name. Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors' Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers' Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to #J-18808-Ljbffr

We want you to #JOINTHEREBELLION! For 30 years, we’ve been independently developing and publishing incredible video games at our multiple studios founded by Jason & Chris Kingsley, but Rebellion is more than just games. We have our own film studio, we create board games, publish books, and through 2000AD, publish comics and graphic novels such as the amazing Judge Dredd. We’re excited to welcome a Senior Animation Programmer to join our passionate and experienced Tech Team and be part of one of our exciting new large-scale projects, crafted by a seasoned team renowned for creating exceptional shooters. In the role of Senior Animation Programmer, you’ll act as part of the Engine Animation Team, supporting multiple projects, connecting animators, technical animators and project engineers, fostering a smooth collaboration between animation and code. You’ll harness our proprietary engine, Asura, to implement character animations, aid in crafting engaging gameplay mechanics, and enhance the visual appeal and responsiveness of in-game characters. This role can be based at our Oxford or Warwick studios, each offering a creative and relaxed atmosphere where teamwork drives our success. We can provide a relocation package, including movingassistance, temporary accommodation and full support to ensure a smooth transition to yournew environment. • Develop and implement animation code for our in-house engine., • Maintain and develop features within our animation systems, working on content creation tools as well as runtime systems., • Collaborate with content creators to write some of those tools and features., • Develop and implement animation code for the project(s), writing and testing larger classes and code with complex functionality., • Fixing complex bugs in both familiar and unfamiliar code., • Create, review and update technical and user documentation., • Support other team members or programmers from other disciplines where appropriate., • Strong understanding of the architecture and internal workings of real-time animation systems., • High proficiency in C++, with experience developing and maintaining complex systems., • Confident using IDEs, debugging tools, and profiling techniques to diagnose and resolve issues., • Experience designing and implementing Finite State Machines and related animation control systems., • Good working knowledge of 3D mathematics and geometry., • 22 days holidays + Christmas closure (typically 4 days) & Bank holidays (increasing with service at 5 years – one day each year until you reach 31 days), • Private Medical Insurance, healthcare cash plan, including dental and Vision, • Life Assurance, Income Protection & Critical Illness Cover, • Enhanced Family Leave, • Interest Free, Tax-Free loans, • Enhanced Pension Scheme, • EAP a range of Mental Health and Wellbeing Support, • Plus loads more… including a wide range of discounts, freebies, and social events! This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship. Our riverside headquarters in Oxford places you a short walk away from the city centre. Renowned for its rich historical backdrop and esteemed educational institutions, Oxford offers a unique blend of tradition and modernity, with its beautiful architecture and green spaces. Oxford also boasts excellent transport links, making it easy to navigate both the city and the wider country. The city’s train station, just a short walk from our studio, offers frequent services to London, as well as direct routes to major cities like Birmingham, Manchester, and Reading and we also offer free parking at the studio. Our open-plan office promotes teamwork and innovation, with regular interaction with senior management and other departments, alongside access to free hot drinks, a handy tuck shop onsite and a range of local pubs, cafes and dining options nearby helping make every workday enjoyable! Whichever team you join at Rebellion we are proud of our open, friendly, and creative atmosphere. We love what we do, and we have fun doing it! As a big indie developer, we have complete creative freedom over our titles which allows us to work on a massive variety of projects across all the major platforms. Our size, stability, and the variety of in-house expertise across multiple industries, makes Rebellion completely unique! We work in our own way, and we celebrate that as the key to our success. We foster an inclusive culture where you are encouraged to be yourself, to express your creativity and your talent. We are people focused and will support you in every way to can be the best at what you do. We recognise the importance of enjoying what you do and having a healthy work-life balance. We offer a friendly, creative, and relaxed working atmosphere, with sensibly managed projects and a wide variety of benefits and development opportunities for all our teams to ensure you are fully supported with your physical and Mental Well-being. We are actively recruiting for a diverse team and continue to add to our culture of growth and inclusion. Rebellion encourages innovation in all areas, and we look forward to hearing how you can help us to be better. We encourage all demographics of culture, gender, ethnicity, neurodiversity and beyond, because a representative team makes better products. #J-18808-Ljbffr

Location: Oxford, Oxfordshire Salary: Competitive, depending on experience Working Pattern: Full-time, office-based Sector: Scientific Research | Quantitative Imaging | AI & Technology Ready to turn complex imaging challenges into practical, real-world solutions? If so, this could be an exciting next step in your career. Our client is an ambitious, growing technology organisation based in Oxford, developing advanced imaging and AI-powered solutions with significant real-world applications. They are looking for a Medical Imaging Scientist to join their collaborative Research and Innovation team. This is an opportunity to take ownership of an important technical capability, contribute to pioneering product development and help transform innovative scientific concepts into reliable, scalable technology. You'll enjoy a varied position combining scientific research, technical problem-solving, platform development and cross-functional collaboration, with the freedom to influence how complex challenges are approached and solved. Become the go-to specialist for quantitative imaging calibration, shaping its development and ensuring it continues to support reliable, high-quality solutions. • Lead the evolution of imaging calibration methods, developing your expertise in accuracy, consistency and performance., • Shape technical roadmaps and explore innovative approaches to complex imaging challenges., • Take pride in delivering dependable calibration solutions that support ongoing services and future technologies. Enjoy the satisfaction of taking exciting research concepts beyond the laboratory and helping develop solutions with practical applications. • Collaborate with talented research, engineering and operational specialists to bring new ideas to life., • Explore opportunities to improve imaging performance, technical scalability and platform reliability., • Contribute to product validation, technical development and quality-focused processes., • Help accelerate the journey from scientific discovery to deployable technology. Build valuable professional relationships and contribute to challenging research programmes alongside experienced specialists and external academic partners. • Exchange ideas with researchers, engineers and technical experts., • Support scientific investigations, publications and intellectual property development., • Strengthen your experience of technical documentation and structured validation., • Develop your ability to communicate complex scientific concepts to different audiences. This is a position where your judgement, initiative and problem-solving ability will be valued. • Influence technical priorities and help teams navigate competing requirements., • Find effective, practical solutions to challenging problems., • Build confidence in making informed decisions when information is incomplete., • Develop your technical leadership skills while taking responsibility for meaningful outcomes. You'll have the opportunity to build on your scientific and technical experience while working with advanced imaging technologies, quantitative analysis methodologies and innovative software-driven solutions. Our client's wishlist includes: • Quantitative imaging expertise: Experience with image analysis, imaging physics, calibration techniques, computational imaging or related scientific disciplines., • Strong analytical thinking: Confidence investigating complex technical problems, interpreting data and developing robust solutions., • Scientific or engineering background: A degree or equivalent experience in physics, engineering, computer science, applied mathematics, medical imaging or another relevant technical subject., • Technical development experience: Familiarity with scientific programming, image-processing workflows, data analysis or platform engineering would be advantageous., • Research and innovation: An interest in applying scientific principles to practical technology development and continuous improvement., • Collaborative communication: The ability to work effectively with colleagues from different technical backgrounds and explain your thinking clearly., • Ownership and adaptability: A proactive approach to managing priorities, testing ideas and progressing projects in a fast-moving environment. You might already be working as a Quantitative Imaging Scientist, Imaging Research Scientist, Image Analysis Scientist, Scientific Software Engineer, Computational Imaging Scientist or Platform Engineer. Equally, you may come from an adjacent scientific or engineering discipline and be looking to apply your transferable skills in a more commercially focused research environment. You don't need to tick every box. If you enjoy solving complex problems, have a strong scientific foundation and are excited by the opportunity to grow your expertise, our client would welcome your application. What Could You Achieve in Your First Year? Imagine looking back after 12 months and seeing the difference your contribution has made. You could have: • Established yourself as a trusted technical specialist for an important imaging capability., • Improved the reliability and efficiency of calibration processes., • Contributed to the development and validation of next-generation technology., • Helped research and engineering teams overcome complex technical obstacles., • Built strong working relationships with experienced scientists and external collaborators., • Played a meaningful role in bringing innovative research closer to real-world application. This is an opportunity to build both your technical expertise and your influence within a growing organisation. What's in It for You? Alongside the chance to work on technically fascinating projects, our client offers a competitive benefits package designed to support your wellbeing and long-term career. • Competitive salary reflecting your skills and experience., • 25 days' annual leave, plus bank holidays., • Enhanced employer pension contributions to support your future., • Private medical insurance for additional peace of mind., • Life insurance providing valuable financial protection., • Cycle-to-work scheme to support your commute., • Additional long-service benefits recognising your contribution over time., • Professional development opportunities within an ambitious and expanding technology organisation. You'll join a supportive, intellectually stimulating workplace where scientific curiosity, collaboration and practical innovation are encouraged. Why Make Your Next Move? Some research positions focus primarily on scientific discovery. Others concentrate on engineering delivery. You'll be able to investigate complex imaging problems, develop innovative methodologies and see your work contribute directly to the development of advanced technology. With a collaborative team, varied technical challenges and the opportunity to take genuine ownership, this role offers an appealing combination of scientific depth, commercial application and career progression. At Humand Talent, we believe that diverse perspectives, backgrounds and experiences create stronger teams and drive better innovation. Both Humand Talent and our client are committed to promoting an inclusive recruitment process where individuals are treated fairly and respectfully. We welcome applications from people of all backgrounds, identities and experiences, including those looking to take the next step in their careers or transition from related technical disciplines. We are happy to discuss reasonable adjustments throughout the recruitment process to help every candidate demonstrate their skills and potential. #J-18808-Ljbffr

Hooke/Titchmarsh Research Fellow (Complex Systems)University of Oxford | Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GGClassification:We are seeking talented postdoctoral researchers to take up an exciting Fellowship opportunity at the Mathematical Institute.The prestigious Hooke/Titchmarsh Research Fellowship scheme provides an ideal opportunity for candidates to pursue an independent research programme in applied/pure mathematics, and to join a large existing cohort of leading researchers on Fellowship programmes at the Mathematical Institute: people/research-fellowship-programmes/hooke-and-titchmarsh-fellowshipsThe Fellowship is full-time, and fixed-term for up to 36 months; applications for job shares or for part-time working to accommodate family circumstances will be considered.Candidates will have a background in mathematics or physics and a record of outstanding research in the mathematical theory of Complex Systems, including Random Matrix Theory and its Applications, and Statistical Mechanics, interpreted broadly. They will complement, enhance and diversify existing strengths within the Mathematical Physics Research Group, as well as other related groups in the Mathematical Institute. Members of the Mathematical Institute are often associated with several Research Groups. Successful applicants will be talented researchers, who have already produced excellent research during their PhD and in any postdoctoral positions. Securing a Fellowship will offer you the freedom to conduct your own research programme.To aid the development of their academic profile, Fellows will be required to contribute up to three hours of teaching per week for the 24 weeks of each academic year to support the department, averaged over the period of the Fellowship to allow for extended visits elsewhere. (The exact nature of this teaching will be in accordance with departmental need as determined by the Head of Department, noting that the department may require you to teach in a college to provide cover for a member of faculty).Candidates will be expected to hold, or be close to completion of, a doctorate in mathematics or a related discipline They should also show evidence of independence and the ability to undertake research of the highest academic standard, hold an outstanding record of papers published in major international journals (commensurate with career stage), and have a realisable and relevant research plan which would enhance the research profile of the Mathematical Institute. Additional information about the posts, and a full list of selection criteria, are available in the job descriptions.We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award.Please direct informal enquiries to the Recruitment Coordinator (email: ), quoting vacancy reference 188672.Applications for this vacancy are to be made online. To apply for this post and for further details, including a job description and selection criteria, please click on the link below.Please note: Applicants are responsible for asking two referees to send their reference letters directly to by the closing date. Full details are contained in the job description.Only applications received before 12.00 noon UK time on 19 October 2026 will be considered. #J-18808-Ljbffr

At Indra Space Systems UK, we provide end-to-end solutions that help connect, observe and understand the world, enabling organisations to respond more effectively and protect what matters most. As part of a global leader in advanced technology and space systems, we are committed to delivering innovative capabilities across the space sector. At Indra Space Systems UK, our values guide everything we do, from developing industry-leading technology to supporting our customers around the world. Innovation - Our capacity for innovation, cutting-edge solutions, and specialised team of professionals enable us to drive a safer, more connected future through technology. Trust - We work with strength, commitment, and reliability, delivering quality solutions to build trust with customers, employees, partners, investors, and society. Connection - We harness the power of collaboration, connect ideas and solutions, and adapt to our customers' needs, supporting them on the path to a better future. Foresight - We anticipate future needs to make the world safer and more connected, transforming our experience and knowledge into solutions for a better tomorrow. As a GNC/AOCS Engineer within the Flight Systems Business Unit, your role will have particular emphasis is placed on technologies enabling autonomous rendezvous and proximity operations (RPO), relative navigation, non-cooperative target tracking, inspection, capture, and controlled de-orbiting. The successful candidate will contribute to the development of innovative guidance, navigation, control, autonomy, and FDIR functions throughout the full engineering lifecycle, from mission analysis and system definition to implementation, verification, validation, and operational support. The role offers the opportunity to support cutting-edge European space programmes in Active Debris Removal (ADR) and In-Orbit Servicing (IOS), contributing to the next generation of autonomous and sustainable space operations. • Specification, design, implementation, verification, and validation of AOCS/GNC and FDIR algorithms for Earth observation, ADR/IOS, and other space missions., • Development and implementation of model-based GNC/AOCS solutions., • Design, implementation, and testing of mission simulators and dynamic system models., • Specification, analysis, and trade-off of GNC/AOCS hardware solutions, including sensors and actuators., • Support to system engineering activities, including requirements definition, interface management, and coordination with multidisciplinary teams., • Verification and validation of GNC/AOCS solutions through analysis, simulation, and testing., • Technical coordination and leadership of assigned activities, • A recognised degree in Engineering (Mechanical, Aerospace, Electrical, Electronic) or a related discipline such as Physics or Mathematics, • Minimum of four years' experience applying relevant engineering principles within the domains associated with the role (relevant MSc or PhD qualifications will also be considered), • Knowledge of the control and simulation of dynamic systems, • Practical experience developing aeronautical or aerospace GNC/AOCS and FDIR solutions, with experience on ESA or other European programmes considered advantageous, • Ability to rapidly understand new concepts and apply them to complex engineering challenges, • Programming capability, • Experience using MATLAB and Simulink Postgraduate qualifications (MSc or PhD) or teaching experience in aeronautical or aerospace engineering, providing a strong foundation in at least two of the following areas: • Orbital mechanics and atmospheric flight dynamics, • FDIR (Failure Detection, Isolation and Recovery) design, implementation and validation, • Classical and robust control techniques, including fixed-structure H∞ synthesis, μ-analysis and LPV control, • Flight operations, • Model-Based Systems Engineering (MBSE), • Experience supporting flight operations within ESA or other European aerospace programmes, • Experience in atmospheric flight applications, • Strong theoretical understanding of GNC/AOCS principles and methodologies, • Knowledge of multivariable robust control techniques, • Programming experience in Python and C, • Pension, • Hybrid working - typically 3 days in the office, • 40 hours/week - Monday - Friday, • 36 days holiday (including bank holidays) #J-18808-Ljbffr

Data Science Lead | Semiconductor Metrology Abingdon, UK Reward and Benefits • Annual bonus, 3x salary death in service benefit and private health care BUPA, EMI Share scheme. If you are a Data Science Lead who enjoys turning measurement data into proof of what is possible, why not join us in Abingdon, Oxfordshire, and build and lead the Data Science team behind advanced semiconductor metrology systems. We are looking for an ambitious and adaptable Data Science Lead to set up a new Data Science team in our Technology department, reporting to the Technology Director. You will lead a small team, initially a Data Scientist and a Modelling Scientist, and stay hands-on as a working lead data scientist. You will explore and prove new analysis methods, from synthetic data and information-limit studies to modelling, machine learning and AI, to improve the performance of our Metron3D systems and draw more insight from our data. You will work hand in hand with the Data Analysis team in Engineering: you prove what is possible, they make it robust and shippable. You will also collaborate with R&D, System Design Engineering and Applications Development. We are an AI-first team, and you will set the standard for using AI tools well and safely. If your passion is speed, evidence and finding out what the data can really tell you, we’d love to hear from you. • Lead, develop and mentor the Data Science team while staying hands-on, setting priorities and keeping a fast, evidence-based working rhythm, • Own and deliver the Data Science roadmap: synthetic data, modelling, information-limit studies, algorithm development and data analysis tools, • Establish the information limit, meaning what is physically extractable given instrument noise, limitations and tip geometry, and use it as the benchmark for every new method, • Explore, test and benchmark new algorithms (for example PCA, percentile methods and machine learning) on real and synthetic data, covering achievable performance, measurement uncertainty and gauge capability, • Define the handover to Data Analysis in Engineering (prototype code, test data, acceptance criteria and expected performance), and manage the demo and performance data libraries with Applications Development, • Use AI tools every day, set the team’s standards for using them well and safely, and track the state of the art in third-party and open-source methods, • MSc or PhD in Physics, Data Science, Applied Mathematics, Engineering or a similar subject, or [8] years’ relevant experience in data science or quantitative research, including some team leadership, • Experience leading or mentoring a team of data scientists, scientists or engineers, • Hands-on data science in Python (NumPy, SciPy, pandas, scikit-learn or similar), turning exploratory work into quantified results, • Heavy, day-to-day use of AI tools in your own technical work, such as coding assistants, LLMs and agentic workflows, with a critical eye for checking their outputs, • Image processing, signal processing or statistical analysis of measurement data from scientific instruments, • Statistical methods for measurement systems: uncertainty, repeatability, gauge R&R and drift, • Machine learning and/or physics-based modelling, with the judgement to pick the right tool for the problem, • Clear communication of results to technical and non-technical audiences, with evidence-based recommendations, • Comfortable setting a roadmap and priorities, and knowing when a result is good enough to hand over, • Atomic Force Microscopy or other nano-characterisation (SEM, FIB, profilometry), or semiconductor metrology and process control, • Synthetic data generation or forward modelling of instruments, • Building AI-assisted workflows or tooling for a team (agents, automated analysis pipelines, shared prompt libraries), and handing prototypes to software teams to productionise Infinitesima is a privately owned company founded in 2001, as a spin-out of the University of Bristol, by CTO Professor Andrew Humphris. Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive.If you require adjustments to take part in the recruitment process, please let us know, we’ll do our best to support you. We will interview you: Monday to Friday UK Time 9am to 4.30pm and we’ll be as flexible as we can with Global Scheduling 1st stage: (45 minute) Remote meeting to evaluate your experience and technical ability 2nd stage: (2.5 hours) Face to face onsite evaluating technical, presentation and communication skills along with your ways of working and your opportunity to to know more about us If you're not comfortable with eye contact, let us know at the start of your interview and if REMOTE, once we've said hello, feel free to turn your camera off until the end. We dress casually so informal attire is absolutely fine for onsite interviews. We want you to feel comfortable when you meet us and if there's anything else we can do to support your journey, just let us know. We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI doesnottake part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. We recognise the value of flexibility and offer a hybrid working model wherever possible. Most employees work onsite three days per week, although some positions require a greater onsite presence due to the nature of the work and business need #J-18808-Ljbffr

OXFIDA (formerly 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. We sit at the intersection of academia and industry, working with Oxford's professors and researchers alongside commercial partners, and combining that expertise with real-world risk data at global scale to turn frontier research into AI that actually ships rather than just gets published. Our work spans AI for insurance underwriting and claims, AI risk governance, privacy-preserving technologies for agentic AI, and quantum optimisation, alongside partnership projects on nature and supply chains and the emerging challenges nobody's solved yet. 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. See risk clearly. Contract: 18-month fixed-term contract from signing, running until the end of February 2028 Location: Hybrid or Remote You'll join a small, technically strong delivery team, helping to take our AI Risk Governance product from pilot through to production or within our Pricing Engine Product which is a live and deployed product used by many. There’ll also be opportunities to contribute to our broader project portfolio, building the software and infrastructure that turns research and product ideas into things that actually run. It's a senior, hands‑on engineering role with scope to learn, grow and put things in the hands of real users. • A senior, genuinely hands‑on engineering role, not one that quietly turns into pure management., • Broad exposure across OXFIDA's project portfolio, from the Pricing Engine to fraud detection and AI risk governance, rather than being tied to a single narrow codebase., • We have strong ambitions in the AI Risk space and you would get to join at the early stages of developing our products in this area., • Contribute directly to the development, testing, and maintenance of OXFIDA projects, products, and initiatives., • Build robust, maintainable, and operationally sound software and infrastructure using our core stack: React, TypeScript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, and AWS., • Work with ML engineers, ML scientists, product managers, and external project partners to understand technical requirements, constraints, and delivery priorities., • Support other engineers through code review, pair programming, and mentoring, and champion engineering best practice across OXFIDA., • Troubleshoot technical, data, and integration issues arising during development and deployment., • Drive improvements to internal tooling, engineering standards, reusable frameworks, and deployment practices across OXFIDA., • Communicate technical trade-offs, risks, and progress clearly to both technical and non-technical stakeholders., • 5+ years of commercial software experience., • A degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or another relevant STEM discipline, or equivalent practical experience., • Familiarity with our core stack, with strong experience in at least two of: Python, TypeScript, relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS., • Strong core software engineering and DevOps skills, including CI/CD, version control, containerisation, and cloud deployment., • A solid grasp of engineering best practice, producing clean, maintainable, well-tested code., • Comfort with code review, giving clear, actionable, constructive feedback to others., • Proven effectiveness in a remote-first, iterative agile environment., • Experience working across the full lifecycle, from experimentation and prototyping through to integration and operationalisation., • Ability to work effectively in technically complex, ambiguous environments involving multiple stakeholders., • Strong communication skills, including explaining technical issues and trade-offs clearly to non-specialists. Bonus points: experience architecting complex distributed software systems for cloud environments, experience deploying ML, AI, or data-driven systems into production or near-production settings. #J-18808-Ljbffr

Topos Institute in Oxford, UK is seeking two Research Software Engineers to join a growing research software engineering team based on-site. The role involves translating client problems into engineering work, developing CatColab with researchers, and building robust software that blends mathematical research with client-driven solutions. The team will tackle challenging problems at the intersection of mathematics and software, with opportunities to collaborate across offices in Oxford and #J-18808-Ljbffr