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More about the roleAs our Product Expert – Salads & Exotics, you will be our go-to champion for product quality, technical insight, and category knowledge. Working closely within our Technical & Product team, you will help guide seasonal product transitions, support quality intake standards, and provide engaging, hands-on learning for our operations and intake colleagues. In this role, you will build warm, collaborative connections across key supply chain partners - including procurement, At Source teams, and site teams - to ensure we consistently offer exceptional produce.Key responsibilities will include:Champion food safety, quality, and product integrity across our blueberry and grape ranges.Provide supportive seasonal guidance, training, and skill-building for technical intake and packhouse teams.Oversee product freshness checks, shelf-life studies, quality reviews, and technical intake validations.Partner collaboratively with Procurement, At Source teams, Technical Managers, and Site Operations to explore category trends and nurture strong supplier relationships.Help ensure our product specifications and site guidelines align smoothly with safety standards, BRC expectations, and internal best practices.Use product insights and data to continuous improve quality, streamline intake processes, and solve technical challenges constructively.More about our perksGenerous holiday entitlementDiscretionary bonus scheme15% discount in our supermarkets and convenience stores from the day you join usAdditional 10% discount card for a friend or family memberGenuine career progression and development opportunities - read more about our Leadership School hereSubsidised staff canteenFree parkingCompetitive pension and life assuranceHealthcare / Wellbeing benefits including Aviva Digital GP'MyPerks' with discounts at high street shops, cinemas and gyms, and lots moreOptional payroll charity donationsA range of family-friendly policies including 26 weeks maternity and adoption leave along with neonatal and fertility leaveMore about youRelevant experience or a degree in science, food technology, chemistry, microbiology, engineering, manufacturing or businessKnowledge of safety, legality, compliance and quality across supply chain and produce rangePrevious experience/knowledge of high risk coupled with thermal processing knowledge/experienceStrong analytical and decision making skillsExcellent communication skills and solution focussed problem solverA proven track record of people management and delivering strong results through a team in a people management roleExcellent communication skillsA can do attitude and a strong work ethic You’ll find a great big welcome here at Myton Food Group - the part of our business that looks after manufacturing, whilst maintaining strong roots within Morrisons Supermarkets. At Myton Food Group, we have a legacy to be proud of. We’re British farming’s biggest single direct customer. We buy from highly valued suppliers. And we’re passionate about the quality of our food. Today, we have 18 manufacturing sites across the UK, where we pack and process fresh meats and fish, savoury and sweet pies, fruit and veg, flower bouquets, bread and lots more. We really do stand out in the world of food manufacturing. But what we’re especially proud of is the way we all get stuck in and work as a team, in partnership across our supply chain. Read more about what we do at our Myton Food Group website. Myton Food Group is a place where you can be yourself, feel valued, and have a true sense of belonging. We are proud to be an equal opportunities employer and welcome applications from people from all walks of life, as we strive to build a workforce that truly represents the communities we serve. We are also a Disability Confident Employer, which means we're committed to providing an inclusive and accessible recruitment process. If you require any reasonable adjustments, please let us know when you submit your application and support will be provided wherever it’s required. Posting Date: 2026-10-08

We're recruiting an experienced Assistant Manager who is passionate about exceptional food and world-class customer service, and who can confidently oversee all Compass Group UK&I catering and service operations for Levy on a full time basis, contracted to 40 hours per week. As an Assistant Manager, you will be responsible for ensuring our kitchens and service counters run smoothly and helping to deliver truly incredible food experiences. In return, you'll have the opportunity to progress your catering career with a company that invests in its people, celebrates individuality, and rewards and recognises employees who go beyond the plate. Medicash - Healthcare benefits, including dental, optical and therapy treatments (includes up to 4 dependent children) Aviva Digicare - Free annual healthcare check Exclusive Benefits & Wellbeing site (Perks at Work) Entertainment discounts - up to 55% off cinema tickets Health & Wellbeing discounts - Discounts for Nuffield Health (20%) and Pure Gym (10%) Travel discounts - Discounts with holiday companies such as TUI and Expedia Shopping discounts - Save up to 15% at high street and online stores by purchasing Shopping Cards Meals on duty Vodaphone discounts Pension scheme and Life Assurance Employee Assistance Programme 23 days + BH's and additional day off for your birthday 2 days additional leave, following return from Maternity leave during first year back Competitive and supportive family benefits Day off for baby's first birthday Holiday purchase scheme On-going training & development and career pathways Professional subscriptions paid Financial wellbeing programme and preferred rates on salary finance products Could you shine as Levy's next Assistant Manager? Here's what you need to know before applying: Your key responsibilities will include: Liaising between the team and manager to ensure we continually exceed expectations Motivating the team to keep everyone on task Assisting the manager with managing inventories, monitoring budgets and implementing action plans Managing the tills and processing payments Supporting and training our teams, leading from the front to make sure everyone can excel in their role Assisting with paperwork when required Representing Compass Group UK&I and maintaining a positive brand image Our ideal Assistant Manager will: Be passionate about exceptional customer service Have previous experience in a similar role Have experience managing teams Have excellent communication and organisational skills Be an ambitious and motivated individual who is always looking to upskill Part of Compass Group UK&I, we are a grouping of seven easily accessible event spaces with hotel-like residential and leisure facilities, which all sit under the brand name The Venues Collection. Located across the UK, our venues all feature stylish and individual event spaces, including both contemporary and historic meeting areas. Join us to grow your career with the industry leader, and get competitive pay, great perks and unrivalled opportunities for learning and development, at one of the UK's biggest businesses.Every day, our teams of passionate hospitality professionals strive for excellence in delivering employee dining and hospitality to some of the UK's leading workplace as well as inspiring exceptional experiences in iconic cultural and heritage destinations. Job Reference: com/1805/94169004/52807893/SU #Venues Collection Compass Group UK&I is committed to fostering an environment where every individual can truly be themselves at work and has equal opportunities to advance in their careers. We strive to build a culture that respects and celebrates the unique talents, beliefs, backgrounds, and abilities of all our team members. We want our colleagues to feel valued, empowered to reach their full potential, and to thrive - because diversity is our strength! TPBN1_UKTJ

More about the roleAs our Product Expert – Blueberries & Grapes, you will be our go-to champion for product quality, technical insight, and category knowledge. Working closely within our Technical & Product team, you will help guide seasonal product transitions, support quality intake standards, and provide engaging, hands-on learning for our operations and intake colleagues. In this role, you will build warm, collaborative connections across key supply chain partners - including procurement, At Source teams, and site teams - to ensure we consistently offer exceptional produce.Key responsibilities will include:Champion food safety, quality, and product integrity across our blueberry and grape ranges.Provide supportive seasonal guidance, training, and skill-building for technical intake and packhouse teams.Oversee product freshness checks, shelf-life studies, quality reviews, and technical intake validations.Partner collaboratively with Procurement, At Source teams, Technical Managers, and Site Operations to explore category trends and nurture strong supplier relationships.Help ensure our product specifications and site guidelines align smoothly with safety standards, BRC expectations, and internal best practices.Use product insights and data to continuous improve quality, streamline intake processes, and solve technical challenges constructively.More about our perksGenerous holiday entitlementDiscretionary bonus scheme15% discount in our supermarkets and convenience stores from the day you join usAdditional 10% discount card for a friend or family memberGenuine career progression and development opportunities - read more about our Leadership School hereSubsidised staff canteenFree parkingCompetitive pension and life assuranceHealthcare / Wellbeing benefits including Aviva Digital GP'MyPerks' with discounts at high street shops, cinemas and gyms, and lots moreOptional payroll charity donationsA range of family-friendly policies including 26 weeks maternity and adoption leave along with neonatal and fertility leaveMore about youAs well as the ability to work at pace, you will also need to have:Relevant experience or a degree in science, food technology, chemistry, microbiology, engineering, manufacturing or businessKnowledge of safety, legality, compliance and quality across supply chain and produce rangePrevious experience/knowledge of high risk coupled with thermal processing knowledge/experienceStrong analytical and decision making skillsExcellent communication skills and solution focussed problem solverA proven track record of people management and delivering strong results through a team in a people management roleExcellent communication skillsA can do attitude and a strong work ethic You’ll find a great big welcome here at Myton Food Group - the part of our business that looks after manufacturing, whilst maintaining strong roots within Morrisons Supermarkets. At Myton Food Group, we have a legacy to be proud of. We’re British farming’s biggest single direct customer. We buy from highly valued suppliers. And we’re passionate about the quality of our food. Today, we have 18 manufacturing sites across the UK, where we pack and process fresh meats and fish, savoury and sweet pies, fruit and veg, flower bouquets, bread and lots more. We really do stand out in the world of food manufacturing. But what we’re especially proud of is the way we all get stuck in and work as a team, in partnership across our supply chain. Read more about what we do at our Myton Food Group website. Myton Food Group is a place where you can be yourself, feel valued, and have a true sense of belonging. We are proud to be an equal opportunities employer and welcome applications from people from all walks of life, as we strive to build a workforce that truly represents the communities we serve. We are also a Disability Confident Employer, which means we're committed to providing an inclusive and accessible recruitment process. If you require any reasonable adjustments, please let us know when you submit your application and support will be provided wherever it’s required. Posting Date: 2026-09-26

At EIT we are seeking an experienced Data Engineer to join our Scientific Compute and Data team. Our Data Engineers in Autonomous Systems work within a wider project, AutoLabs. This is where EIT automates the scientific discovery loop: experimental design, execution, analysis, and the learning that feeds back into the next experiment and the lab itself. The AutoLabs data platform captures, stores and serves high-frequency multimodal data. It spans an edge-to-cloud telemetry stack (MQTT, Kafka, media streams such as HLS), streaming APIs, and a growing set of hardware integrations across multiple sites including robotic systems, sensor rigs and lab instruments. Our labs produce raw data for a fast-growing set of models: vision-language-action models, orchestration and monitoring models, and world models that learn the dynamics of a laboratory to simulate experiments before they are run. As a Data Engineer, you'll work directly alongside AI researchers, software engineers, robotics engineers, and domain scientists to build the data layer that makes our autonomous operations possible. You will contribute to an engineering culture that values robust system design, testing, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. Day-to-Day, You Might: • Build high-throughput, low-latency ingestion for live video, sensor telemetry, robot joint state and instrument control signals, integrating validation at the edge before data reaches the cloud., • Work across the edge-to-cloud stack, from edge devices and MQTT brokers through to Kafka topics, cloud storage, and the APIs that serve scientists and ML pipelines., • Turn streams of robot state, instrument output and video into structured database transactions: which arm did what to which sample, when, and what came out., • Build the knowledge graph on top of that, linking inputs to results, so that a fact can always be traced back to the video segment and sensor readings behind it., • Make the output model-ready: the formats, sampling, labelling and provenance that training and evaluation need, working directly with the researchers who consume it., Automated lab or life sciences environments - instrument APIs, lab protocols, and what scientists expect of data quality., • Data pipelines for physical systems: robotics (e.g. MQTT), autonomous vehicles, lab or clinical instruments, industrial control, or similar environments., • Knowledge, entity, search or feed systems where correctness under continuous update was the hard part., • Stateful stream processing (Flink, Kafka Streams, Beam or similar): event time, watermarks, exactly-once., • APIs for data ingestion and consumption with FastAPI, gRPC or GraphQL., • Graph stores and entity resolution or curation at scale, where the interesting decisions are about what to keep, merge or drop., • Experience working close to model development, such as curating training or evaluation data, or building the data systems that feed models. You don't need to be a machine learning engineer, but you should know what makes a dataset good. You have strong programming experience in Python, and value code quality, reliability, and performance while adapting to an evolving industry., • You think in systems and own them end-to-end - from device output to APIs - and embrace long-term engineering rather than one-off scripts., • Experience with real-time data streaming - Kafka or Pub/Sub (or equivalent), and the challenges that come with high-frequency, low-latency data capture., • You treat reproducibility, version control, schema design and lineage as the things that make good science possible., • A clear, respectful communicator who can collaborate with scientists, roboticists and researchers. At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas:, • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org . The Scientific Compute and Data Team The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands-on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • 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, • 2 days per week in Oxford office, 1 day per week in employee's choice of Oxford or London office, 2 days per week work from any UK location., • 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. #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 innovatorsto 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. The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands-on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. At EIT we are seeking an experienced Data Engineer to join our Scientific Compute and Data team. Our Data Engineers in Autonomous Systems work within a wider project, AutoLabs. This is where EIT automates the scientific discovery loop: experimental design, execution, analysis, and the learning that feeds back into the next experiment and the lab itself. The AutoLabs data platform captures, stores and serves high-frequency multimodal data. It spans an edge-to-cloud telemetry stack (MQTT, Kafka, media streams such as HLS), streaming APIs, and a growing set of hardware integrations across multiple sites including robotic systems, sensor rigs and lab instruments. Our labs produce raw data for a fast-growing set of models: vision-language-action models, orchestration and monitoring models, and world models that learn the dynamics of a laboratory to simulate experiments before they are run. As a Data Engineer, you’ll work directly alongside AI researchers, software engineers, robotics engineers, and domain scientists to build the data layer that makes our autonomous operations possible. You will contribute to an engineering culture that values robust system design, testing, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. • Build high-throughput, low-latency ingestion for live video, sensor telemetry, robot joint state and instrument control signals, integrating validation at the edge before data reaches the cloud., • Work across the edge-to-cloud stack, from edge devices and MQTT brokers through to Kafka topics, cloud storage, and the APIs that serve scientists and ML pipelines., • Turn streams of robot state, instrument output and video into structured database transactions: which arm did what to which sample, when, and what came out., • Build the knowledge graph on top of that, linking inputs to results, so that a fact can always be traced back to the video segment and sensor readings behind it., • Make the output model-ready: the formats, sampling, labelling and provenance that training and evaluation need, working directly with the researchers who consume it.Nobody checks every box - if you’re not sure if you’re qualified, we still encourage you to apply., • You have strong programming experience in Python, and value code quality, reliability, and performance while adapting to an evolving industry., • You think in systems and own them end-to-end - from device output to APIs - and embrace long-term engineering rather than one-off scripts., • Experience with real-time data streaming - Kafka or Pub/Sub (or equivalent), and the challenges that come with high-frequency, low-latency data capture., • You treat reproducibility, version control, schema design and lineage as the things that make good science possible., • A clear, respectful communicator who can collaborate with scientists, roboticists and researchers., • Automated lab or life sciences environments - instrument APIs, lab protocols, and what scientists expect of data quality., • Data pipelines for physical systems: robotics (e.g. MQTT), autonomous vehicles, lab or clinical instruments, industrial control, or similar environments., • Knowledge, entity, search or feed systems where correctness under continuous update was the hard part., • Stateful stream processing (Flink, Kafka Streams, Beam or similar): event time, watermarks, exactly-once., • APIs for data ingestion and consumption with FastAPI, gRPC or GraphQL., • Graph stores and entity resolution or curation at scale, where the interesting decisions are about what to keep, merge or drop., • Experience working close to model development, such as curating training or evaluation data, or building the data systems that feed models. You don’t need to be a machine learning engineer, but you should know what makes a dataset good., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • 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, • 2 days per week in Oxford office, 1 day per week in employee’s choice of Oxford or London office, 2 days per week work from any UK location., • 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. #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 Within this ecosystem, the Pathogen Mission exemplifies EIT's commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. This remit includes the development of a decentralised, sample‑to‑answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.'s cloud‑computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. We are seeking an experienced and detail‑oriented R&D Systems Engineer – Instrumentation & Data to help develop next‑generation diagnostic technology. In this role you will work alongside experts in microfluidics, microbiology, electronics and firmware to design, build and iterate prototype instrumentation for a point‑of‑care device capable of metagenomic sequencing through a microfluidic cartridge interface. You will take a hands‑on role in designing experiments, collecting and analysing performance data from prototype systems, and supporting data‑driven engineering improvements within a collaborative R&D environment with evolving challenges. This position sits at the intersection of hardware, embedded control and data analysis, and you will contribute directly to the development of decentralised diagnostic systems aimed at improving infectious disease detection in hospitals and public health settings worldwide. • Design and execute structured experiments to evaluate performance of cartridge‑based modules and prototype instrumentation, • Collect, analyse and interpret experimental data to identify performance trends, variability sources and failure modes, • Develop analysis scripts and tools (e.g. Python‑based) to process, visualise and report experimental results, • Work closely with microfluidics, electronics and firmware engineers to interpret experimental findings and support system improvements, • Support the implementation of reliable data acquisition from sensors and embedded control systems, • Collaborate closely with microbiologists, microfluidics engineers and data scientists to translate experimental findings into system improvements by correlating mechanical, electrical and software behaviour with performance data, • Contribute to defining test protocols and evaluating module performance against agreed targets, • Support efforts to improve repeatability and robustness through structured data analysisMaintain clear and structured documentation of experimental setups, configurations and analysis outputs Knowledge, Skills and Experience: • Experience in instrumentation development, experimental engineering, applied systems engineering or similar R&D environments (industry or advanced academic research experience considered), • Demonstrated experience designing and executing structured experimental investigations, • Proficiency in data analysis and scripting (e.g. Python, MATLAB or similar), • Experience acquiring and interpreting data from physical systems (e.g. pressure, temperature, flow, force, motion or optical sensors), • Ability to identify patterns and potential root causes from experimental data, • Familiarity with retrieving and interpreting logged data from embedded or Linux‑based control systems, • Comfortable working hands‑on in a laboratory environment to support test setup and troubleshooting, • Strong analytical and problem‑solving skills, • Ability to work collaboratively within multidisciplinary engineering teams, • Clear technical documentation and reporting skills We recognise that candidates may not meet every listed criterion. If your experience aligns with most of the requirements and you are motivated by the mission, we encourage you to apply. • Experience working with laboratory instrumentation, medical devices or scientific equipment, • Familiarity with signal processing or sensor calibration techniques, • Exposure to actuator‑based instrumentation (e.g., pumps, valves, motors), • Basic understanding of contamination control considerations in laboratory equipment, • Experience contributing to early‑stage product development (concept → prototype → refinement), • Curious and analytical, committed to rigorous, evidence‑based decision‑making, • Comfortable working in fast‑moving, experimental environments with evolving requirements, • Detail‑oriented and methodical in experimental planning and documentation, • Comfortable translating experimental insight into practical implementation, able to bridge the gap between lab experimentation and engineering implementation, • Clear communicator, able to explain technical findings to multidisciplinary teams, • Takes initiative and works effectively both independently and as part of a team to highlight performance improvement opportunities, • Salary: Competitive + travel allowance + bonus, • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme, • 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) #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 innovatorsto 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. The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands‑on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. At EIT we are seeking a Forward Deployed Engineer to join our Scientific Compute and Data Team. Forward Deployed Data Engineers are a key interface between our core data systems and the research and engineering projects across EIT. You’ll work side‑by‑side with scientists and engineers in frontier AI and robotics, generative and plant biology, or pathogen surveillance. You will disseminate data engineering best practices into the institutes, ensuring that datasets are accurate, reproducible, versioned‑controlled, well‑structured, and ready for ML. You will help scientists turn raw information from various sources into high‑quality resources, ensuring our technical foundations support the next generation of discovery. This is a hands‑on role for those who thrive on collaborating directly with researchers and engineers, solving problems quickly, and turning complex research requirements into scalable, reliable data pipelines while contributing to the broader EIT platform. We are looking for clear, respectful communicators who are comfortable bringing their own expertise into diverse groups. • Partner with scientists and engineers to deliver robust, reproducible data pipelines that meet research needs across disciplines., • Own ingestion, storage, curation, and transformation of diverse biological datasets and formats, such as structured/tabular data, unstructured text, high I/O formats like LMDB/Arrow/HDF5, or domain‑specific formats such as fastq/fasta and cif., • Package and deploy code in research environments using containers (e.g. Docker)., • Scale processing across distributed cloud warehouses/storage via container orchestration (e.g. Kubernetes), High-Performance GPU Compute (e.g. Slurm), or distributed compute frameworks (e.g. Spark, Ray)., • Contribute to an engineering culture that values maintainability, testing, robust system design, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. Nobody checks every box - if you are excited about this role and think you could contribute, we encourage you to apply. • You have strong programming experience in Python, and value code quality, reliability, and readability as much as performance., • You have a deep understanding of data storage and manipulation: relational systems, sharding and parallelisation, indexing, scalability., • You have experience working on cloud compute platforms and varied Linux environments., • You have worked at scale, especially on distributed/parallelised data systems., • You promote good Data Engineering and Data Management practices as a means of enabling good science – reproducibility, version‑control, schema design, lineage, single‑source of truth., • You think in terms of systems and longevity, not just one-off ETL scripts, and embrace end‑to‑end ownership from low‑level performance to user interfaces. Our Forward Deployed Engineers will have the opportunity to work on diverse projects, and to expand their skillset, but will add particular value when they can match their data engineering expertise with domain knowledge relevant to a project. We would value: • Experience preparing data for ML: pre‑training, post‑training, and evaluations., • Scientific background, with experience or qualifications in genomics, proteomics, or other related fields., • Experience in bioinformatics and use of industry-standard tooling such as NextFlow., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • 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, • 2 days per week in Oxford office, 1 day per week in employee’s choice of Oxford or London office, 2 days per week work from any UK location., • 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. #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 innovatorsto 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. The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands-on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. At EIT we are seeking an experienced Data Engineer to join our Scientific Compute and Data team. Our Data Engineers in Autonomous Systems work within a wider project, AutoLabs. This is where EIT automates the scientific discovery loop: experimental design, execution, analysis, and the learning that feeds back into the next experiment and the lab itself. The AutoLabs data platform captures, stores and serves high-frequency multimodal data. It spans an edge-to-cloud telemetry stack (MQTT, Kafka, media streams such as HLS), streaming APIs, and a growing set of hardware integrations across multiple sites including robotic systems, sensor rigs and lab instruments. Our labs produce raw data for a fast-growing set of models: vision-language-action models, orchestration and monitoring models, and world models that learn the dynamics of a laboratory to simulate experiments before they are run. As a Data Engineer, you’ll work directly alongside AI researchers, software engineers, robotics engineers, and domain scientists to build the data layer that makes our autonomous operations possible. You will contribute to an engineering culture that values robust system design, testing, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. • Build high-throughput, low-latency ingestion for live video, sensor telemetry, robot joint state and instrument control signals, integrating validation at the edge before data reaches the cloud., • Work across the edge-to-cloud stack, from edge devices and MQTT brokers through to Kafka topics, cloud storage, and the APIs that serve scientists and ML pipelines., • Turn streams of robot state, instrument output and video into structured database transactions: which arm did what to which sample, when, and what came out., • Build the knowledge graph on top of that, linking inputs to results, so that a fact can always be traced back to the video segment and sensor readings behind it., • Make the output model-ready: the formats, sampling, labelling and provenance that training and evaluation need, working directly with the researchers who consume it.Nobody checks every box - if you’re not sure if you’re qualified, we still encourage you to apply., • You have strong programming experience in Python, and value code quality, reliability, and performance while adapting to an evolving industry., • You think in systems and own them end-to-end - from device output to APIs - and embrace long-term engineering rather than one-off scripts., • Experience with real-time data streaming - Kafka or Pub/Sub (or equivalent), and the challenges that come with high-frequency, low-latency data capture., • You treat reproducibility, version control, schema design and lineage as the things that make good science possible., • A clear, respectful communicator who can collaborate with scientists, roboticists and researchers., • Automated lab or life sciences environments - instrument APIs, lab protocols, and what scientists expect of data quality., • Data pipelines for physical systems: robotics (e.g. MQTT), autonomous vehicles, lab or clinical instruments, industrial control, or similar environments., • Knowledge, entity, search or feed systems where correctness under continuous update was the hard part., • Stateful stream processing (Flink, Kafka Streams, Beam or similar): event time, watermarks, exactly-once., • APIs for data ingestion and consumption with FastAPI, gRPC or GraphQL., • Graph stores and entity resolution or curation at scale, where the interesting decisions are about what to keep, merge or drop., • Experience working close to model development, such as curating training or evaluation data, or building the data systems that feed models. You don’t need to be a machine learning engineer, but you should know what makes a dataset good., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • 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, • 2 days per week in Oxford office, 1 day per week in employee’s choice of Oxford or London office, 2 days per week work from any UK location., • 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. #J-18808-Ljbffr

Are you a skilled Electrical & Mechanical Maintenance Engineer who thrives on solving problems? Join our client's experienced team and play a vital role in keeping a busy manufacturing operation running safely and efficiently. Electrical and Mechanical Maintenance Engineer King's Sutton, near Banbury, Oxfordshire Full-Time, Permanent £38,000 - £48,000 dependent on experience and skill set Please note: you must be authorised to work in the UK. Our client is a long-established and respected business operating within the animal feed manufacturing industry. They are committed to maintaining the highest standards of safety, quality and operational efficiency while investing in their people and providing opportunities for long-term career development. They are recruiting an Electrical Maintenance Engineer, with Mechanical knowledge (Multi-Skilled Maintenance Engineer, 18th Edition BS761) to ensure that their busy Animal Feed Production facility runs safely and efficiently; and that equipment and machinery is maintained to a high a standard. This rewarding role will balance preventative maintenance with rapid emergency fault-finding across both electrical automation systems and mechanical machinery to prevent downtime. They offer a competitive salary, based on qualifications and experience, and all the benefits of working for a local long-standing company. This exciting position has the opportunity for continued growth and advancement. Job Overview Role Type: Full-Time and able to adapt to the varying needs of the business (includes out-of-hours cover / call out). Environment: The feed manufacturing environment; can be dusty, noisy, and require working at heights. Primary Objective: Maximise production plant uptime and use downtime / shutdowns productively, while strictly adhering to safety and hygiene standards. Key Responsibilities Work alongside the existing team of staff and contractors. Electrical & Automation Systems Fault Finding: Diagnose complex electrical faults using schematics, testing meters and diagnostic tools. PLC Systems: Troubleshoot issues with automated control systems, sensors, control panels and variable speed drives. Hardware Upkeep: Remove, replace and calibrate motors, electrical assemblies, switchgear and safety protection devices. Mechanical Maintenance Equipment Repair: Maintain and repair a mix of machinery, including pellet mills, grinders, conveyors, bucket elevators, mixers and pneumatic systems. PPM Schedules: Execute Planned Preventative Maintenance (PPM) to optimise machinery life and performance. Heavy Fitting: Conduct manual alignment, bearing replacements, fabrication, welding and lubrication of mechanical parts. Fabrication and Welding. Make, repair and adapt parts of the plant, as required. Compliance & Operations Safety Protocols: Adhere strictly to Health & Safety (H&S) policies and all relevant regulations. Industry Standards: Maintain plant cleanliness and processes. Candidate Requirements Qualifications, Education, Experience The client will take your qualifications into account, but we realise that qualifications do not tell the whole story. if you have relevant experience understand the needs of the business and think you are suitable, send in your full CV explaining your relevant experience and what you can offer this role. List all useful relevant qualifications and experience, for example: Core Technical Level: BTEC Level 4, City & Guilds, or an equivalent National Diploma / NVQ Level 3 in Mechanical or Electrical Engineering. Electrical Certification: Formal electrical compliance qualification, such as 18th Edition IET Wiring Regulations (or regional equivalent). Apprenticeship: Time-served engineering apprenticeship in a manufacturing or heavy industrial setting is highly preferred. Skills & Experience Industry Background: Prior maintenance experience in animal feed mills, grain processing, food manufacturing or bulk-handling industries. Technical Breadth: Strong dual-skilled proficiency (roughly a 60/40 or 50/50 split in electrical competency and mechanical robustness). Mindset: Methodical problem-solver capable of working autonomously during high-pressure breakdown scenarios If you are a proactive, multi-skilled engineer who enjoys solving technical challenges and takes pride in maintaining high operational standards, this is an excellent opportunity to join our client and build a rewarding long-term career. We would love to hear from you. How to Apply: If you have the skills and experience required for this position, click "apply" today and check your inbox for an email providing more information on how to complete your application and provide any other supporting documents. You must be authorised to work in the UK. No agencies, please. Other suitable skills and experience includes Multi-Skilled Maintenance Engineer, Maintenance Engineer, Electrical Maintenance Engineer, Mechanical Maintenance Engineer, Shift Maintenance Engineer, Industrial Electrician, Manufacturing Engineer, Automation Engineer, Plant Maintenance Engineer, Mechanical Engineer, Electrical Engineer, Service Engineer, Engineering Technician, Facilities Maintenance Engineer, Production Maintenance Engineer. JBRP1_UKTJ

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 innovatorsto 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. The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: • Improved plant productivity, both indoors and outside., • Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides., • Novel decarbonised plant-based production platforms for food and medicines., • Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision. EIT is seeking a highly motivated and skilled Scientist in High-Throughput High-Content Imaging and Cell Phenotypic Screening to join its pioneering Plant Biology Institute and establish an automated, image-based platform for plant cells. The successful candidate will combine expertise in advanced microscopy, quantitative image analysis and cell-based assay to enable high-throughput characterisation of cellular phenotype, working closely with automation and AI team to develop scalable screening workflows. The scientist will be expected to contribute to publications and IP generation and play an active role in translating research into real-world and commercial solutions aligned with EIT’s mission of humane technological advancement. This role offers a unique opportunity to conduct high-impact research at the forefront of plant science while collaborating across multidisciplinary teams to drive innovation from lab to global impact. • Design and optimise high-throughput, image-based phenotypic screening workflow for plant cell systems., • Develop robust cell-based imaging assays to quantify phenotypes including cell growth, division, morphology, viability and cell-state changes., • Design and optimise fluorescence-based assays and reporter system for quantitative phenotypic screening., • Establish reproducible image acquisition and analysis pipeline, including segmentation, feature extraction and phenotypic classification., • Evaluate and implement appropriate microscopy technologies, including high-content imaging, confocal and other approaches according to experimental needs., • Design rigorous screening experiments with appropriate controls, replications and statistical analysis., • Analyse, interpret and communicate results. Using findings to guide biological validation and subsequent design-build-test-learn cycles., • Work closely with automation teams to integrate imaging workflows for scalable screening., • Collaborate with bioinformatic and AI team to develop and validate advanced image-analysis and phenotype classification., • Developing morphology-guided or image-based phenotypic screening assays in mammalian cell lines or other cultured cellular model systems., • High-content phenotypic screens following genetic or chemical perturbations., • Image-based CRISPR or other functional genomic screens., • High-throughput imaging and analysis of organoids, spheroids or other three-dimensional cell culture system., • Application of machine learning or AI to large-scale cellular-imaging datasets., • PhD in cell biology, developmental biology, bioengineering or related discipline with relevant postdoctoral experience in industry or academia., • Demonstrated experience in developing and optimising quantitative, image-based cellular assay, including experience with high-throughput or high-content screening workflows., • Extensive hands-on experience with imaging of cells or tissues using widefield, fluorescence, confocal microscopy or other advanced microscopy platforms., • Strong understanding of cellular phenotypes and ability to translate biological questions into measurable imaging readouts., • Experience with quantitative image analysis, including segmentation, feature extraction, tacking and phenotypic classification., • Ability to develop experimental workflows and optimise them through design-build-test-learn cycles., • Strong scientific communication, data interpretation, troubleshooting and collaboration skills., • Deep knowledge of cell cycle, cell division, differentiation., • Experience with laboratory automation, including integration of automated microscopy with liquid handling, plate handling or robotic workflows., • Experience with 3D cellular systems, including cell aggregates, organoids, spheroids or tissue-based imaging., • Experience working collaboratively with computational scientists, AI researchers or engineers on multidisciplinary projects., • Knowledge or practical experience of plant cell biology, plant cell culture or plant developmental biology., • Programming skills for imaging processing, data analysis or workflow automation., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • 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 #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 innovatorsto 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. The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands‑on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. At EIT we are seeking a Forward Deployed Engineer to join our Scientific Compute and Data Team. Forward Deployed Data Engineers are a key interface between our core data systems and the research and engineering projects across EIT. You’ll work side‑by‑side with scientists and engineers in frontier AI and robotics, generative and plant biology, or pathogen surveillance. You will disseminate data engineering best practices into the institutes, ensuring that datasets are accurate, reproducible, versioned‑controlled, well‑structured, and ready for ML. You will help scientists turn raw information from various sources into high‑quality resources, ensuring our technical foundations support the next generation of discovery. This is a hands‑on role for those who thrive on collaborating directly with researchers and engineers, solving problems quickly, and turning complex research requirements into scalable, reliable data pipelines while contributing to the broader EIT platform. We are looking for clear, respectful communicators who are comfortable bringing their own expertise into diverse groups. • Partner with scientists and engineers to deliver robust, reproducible data pipelines that meet research needs across disciplines., • Own ingestion, storage, curation, and transformation of diverse biological datasets and formats, such as structured/tabular data, unstructured text, high I/O formats like LMDB/Arrow/HDF5, or domain‑specific formats such as fastq/fasta and cif., • Package and deploy code in research environments using containers (e.g. Docker)., • Scale processing across distributed cloud warehouses/storage via container orchestration (e.g. Kubernetes), High-Performance GPU Compute (e.g. Slurm), or distributed compute frameworks (e.g. Spark, Ray)., • Contribute to an engineering culture that values maintainability, testing, robust system design, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. Nobody checks every box - if you are excited about this role and think you could contribute, we encourage you to apply. • You have strong programming experience in Python, and value code quality, reliability, and readability as much as performance., • You have a deep understanding of data storage and manipulation: relational systems, sharding and parallelisation, indexing, scalability., • You have experience working on cloud compute platforms and varied Linux environments., • You have worked at scale, especially on distributed/parallelised data systems., • You promote good Data Engineering and Data Management practices as a means of enabling good science – reproducibility, version‑control, schema design, lineage, single‑source of truth., • You think in terms of systems and longevity, not just one-off ETL scripts, and embrace end‑to‑end ownership from low‑level performance to user interfaces. Our Forward Deployed Engineers will have the opportunity to work on diverse projects, and to expand their skillset, but will add particular value when they can match their data engineering expertise with domain knowledge relevant to a project. We would value: • Experience preparing data for ML: pre‑training, post‑training, and evaluations., • Scientific background, with experience or qualifications in genomics, proteomics, or other related fields., • Experience in bioinformatics and use of industry-standard tooling such as NextFlow., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • 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, • 2 days per week in Oxford office, 1 day per week in employee’s choice of Oxford or London office, 2 days per week work from any UK location., • 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. #J-18808-Ljbffr

At EIT we are seeking a Forward Deployed Engineer to join our Scientific Compute and Data Team. Forward Deployed Data Engineers are a key interface between our core data systems and the research and engineering projects across EIT. You'll work side-by-side with scientists and engineers in frontier AI and robotics, generative and plant biology, or pathogen surveillance. You will disseminate data engineering best practices into the institutes, ensuring that datasets are accurate, reproducible, versioned-controlled, well-structured, and ready for ML. You will help scientists turn raw information from various sources into high-quality resources, ensuring our technical foundations support the next generation of discovery. This is a hands-on role for those who thrive on collaborating directly with researchers and engineers, solving problems quickly, and turning complex research requirements into scalable, reliable data pipelines while contributing to the broader EIT platform. We are looking for clear, respectful communicators who are comfortable bringing their own expertise into diverse groups. Day-to-Day, You Might: • Partner with scientists and engineers to deliver robust, reproducible data pipelines that meet research needs across disciplines., • Own ingestion, storage, curation, and transformation of diverse biological datasets and formats, such as structured/tabular data, unstructured text, high I/O formats like LMDB/Arrow/HDF5, or domain-specific formats such as fastq/fasta and cif., • Package and deploy code in research environments using containers (e.g. Docker)., • Scale processing across distributed cloud warehouses/storage via container orchestration (e.g. Kubernetes), High-Performance GPU Compute (e.g. Slurm), or distributed compute frameworks (e.g. Spark, Ray)., • Contribute to an engineering culture that values maintainability, testing, robust system design, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. You have strong programming experience in Python, and value code quality, reliability, and readability as much as performance., • You have a deep understanding of data storage and manipulation: relational systems, sharding and parallelisation, indexing, scalability., • You have experience working on cloud compute platforms and varied Linux environments., • You have worked at scale, especially on distributed/parallelised data systems., • You promote good Data Engineering and Data Management practices as a means of enabling good science - reproducibility, version-control, schema design, lineage, single-source of truth., • You think in terms of systems and longevity, not just one-off ETL scripts, and embrace end-to-end ownership from low-level performance to user interfaces., • Our Forward Deployed Engineers will have the opportunity to work on diverse projects, and to expand their skillset, but will add particular value when they can match their data engineering expertise with domain knowledge relevant to a project. We would value: Experience preparing data for ML: pre-training, post-training, and evaluations. Scientific background, with experience or qualifications in genomics, proteomics, or other related fields. Experience in bioinformatics and use of industry-standard tooling such as NextFlow., • At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology; Food Security & Sustainable Agriculture; Climate Change & Managing CO; Artificial Intelligence & Robotics. This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org., • Scientific Compute and Data Team The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands-on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more., • We offer the following benefits: Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • 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, • Working together - what it involves: 2 days per week in Oxford office, 1 day per week in employee's choice of Oxford or London office, 2 days per week work from any UK location., • 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. #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, policy makers, and entrepreneurs 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 for lab to society. Explore more at www.eit.org We’re looking for a Computational Biologist to work at the interface of microbiology and AI. The role requires being a subject matter expert within a team of AI researchers and engineers and the hands‑on ability to work on projects including transforming complex biological sources into robust, high‑quality data sets, building bioinformatics solutions, and designing evaluations for foundation models. This role requires deep expertise in microbiology and bioinformatics methods, strong scientific judgement, and the ability to critically assess and improve how biological data is used in computational systems. You will work closely with AI Scientists and Engineers to ensure models are biologically sound and capture the most important signals. • Structure, curate, and transform large‑scale microbiology data for use in machine learning systems, • Define biologically grounded tasks, representations, and evaluation frameworks aligned with real biological signal, • Interrogate datasets, methods, and model outputs to identify bias, leakage, and invalid assumptions, • Apply, adapt, and critically assess state‑of‑the‑art bioinformatics methods in real‑world settings, • Build robust, reproducible Python workflows and collaborate closely with research and engineering teams, • Extensive experience in genomics and computational biology, with strong understanding of methods such as genome assembly, alignment, and variant analysis, • Experience working with large‑scale genomics datasets including data preparation and modelling, • Proven track record of solving complex computational biology problems, translating them into computational and statistical methods and delivering working implementations., • High proficiency in Python for data processing and modelling, • Background in software engineering, • Experience with microbiology and prokaryotic biology, • Experience with long- and short-read sequencing technologies, • Experience with foundation models or representation learning applied to biological data, • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme -- At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! #J-18808-Ljbffr