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Cook Up a Storm – Join Frankie & Benny’s as a Chef! Applying for this role is straight forward Scroll down and click on Apply to be considered for this position. At Frankie & Benny’s, we’re all about big flavours, feel-good food, and creating unforgettable moments. If you’re passionate about cooking, thrive in a fast-paced kitchen, and love being part of a fun, supportive team, we’d love to welcome you as a Chef Why Join Frankie & Benny’s? We know that great food starts with great people, so we offer: • Hourly pay and opportunity to earn Tronc., • Flexible Working – Contracts that fit your lifestyle., • Tasty Discounts – 50% off food and drink across all Big Table Group brands, plus 25% off for friends & family., • Wellbeing & Support – Our Employee Assstance Program includes a 24/7 virtual GP, mental health support, second medical opinion service, and more., • Career Growth – Fully funded apprenticeships and development opportunities (Hospitality Team Member Level 2 and beyond)., • Perks & Rewards – Free meals on shift, early access to wages, discounted gym memberships, and exclusive savings on theme parks, shopping, and more!, • Team Celebrations – Competitions, team parties, and chances to win e-points to spend on your favourite retailers. What You’ll Do as a Chef: • Cook delicious dishes to spec, every time—hot, fresh, and full of flavour., • Keep the kitchen clean, safe, and running smoothly., • Work as part of a close-knit team that supports each other and has fun doing it., • Help deliver an unforgettable experience for every guest., • Bring energy, pride, and passion to every shift. Who We’re Looking For: Whether you’re just starting out or already have kitchen experience, if you’re passionate about food and love working in a fast-paced environment, we want to hear from you. If you love food, enjoy working as part of a close‑knit team, and thrive in a fast‑paced kitchen environment, you could be exactly who we’re looking for. At Frankie & Benny’s, our kitchens are the heartbeat of the restaurant. From prepping fresh ingredients to cooking dishes our guests love, you’ll play a key role in delivering great food, every time. You’ll be part of a supportive, friendly team where you can learn new skills, build confidence, and take pride in what you do. We’re proud to be an inclusive workplace where everyone belongs. If you need any reasonable adjustments during the hiring process, just let us know – we’re always happy to help. Thinking about using AI tools for your application? They can help you get started, but what really stands out to us is you – your enthusiasm, teamwork, and willingness to get stuck in. What’s the process? Application → CV review → interview → offer and onboarding You don’t need loads of experience – just a genuine love for food, a positive attitude, and a great team mindset. If you enjoy working behind the scenes to create something special on the plate, we’d love to welcome you into the Frankie & Benny’s kitchen. Ready to bring the heat to the kitchen? xrnqpay Apply now and join the Frankie & Benny’s family!

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. 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 releasing the unrivalled power of biology for the benefit of humanity. The vision of 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. 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 Endeavours. The AI & Robotics team at EIT brings together AI research, robotics and scientific expertise to make biological matter computable and testable, at scale, and by any scientist. We build generative and predictive models of biological molecules and systems, physics grounded simulation and design tools, and autonomous laboratories that generate the data these models learn from and test the designs they propose. You will be joining the project Monera, a joint project across the Generative Biology Institute and the AI & Robotics team building multi-modal generative models of whole organisms, starting with Escherichia coli in order to understand and predict an organism's phenotype from its genome and environment and, in time, to design genomes for a desired function. The team works as one integrated computational and experimental group: experimentalists generate genetic variation and quantitative measurements at scale (growth and fitness, transcriptomics, proteomics, metabolomics), the models are trained and validated on that data, and the results shape the next round of experiments and insights. The experimental work is based in GBI's laboratories in the Oxford Science Park, alongside GBI's automation capability and in daily contact with the AI scientists in the AI & Robotics team. We are building a joint experimental computational team focussed on building, training and validating multi-modal biological models. The team will: i) generate experimental perturbation and measurement data at scale, ii) build multi-modal biological models and, iii) use the experimental data they generate to train and validate the multi-modal biological models they build. In this role you will: i) perform experimental genome engineering work to generate genetic variation at scale and/or ii) design and implement scalable biological measurement over one or more modalities. Where appropriate the work will leverage the substantial automation capability within the institute. Your work will be performed under the guidance of Jason Chin. You will be part of a single team composed of AI scientists and synthetic biologists working together. We are looking for colleagues with deep expertise in genome engineering and/or quantitative phenotyping of model bacterial species such as Escherichia coli. The role requires the ability and willingness to work as part of a cross-disciplinary team at the interface of computational and wetlab biology. Our team ethos is based on mutual learning, strong peer-to-peer support, and a deep sense of scientific curiosity and ambition. This is your opportunity to be part of cutting-edge research within an institute dedicated to engineering biology at an unprecedented scale. You will be leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high-impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, AI, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology. • Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. In particular, the successful applicant will utilise genome engineering strategies in the lab to produce a diversity of microbial strains as the source of training and validation data in a high throughput fashion. In addition, they will also design and prototype a range of experimental measurement strategies for characterising these strains at scale, • Collaborate with other GBI scientists from other groups expert in synthetic biology, automation, bioinformatics, -omics and machine learning, and AI scientists from the AIR institute, as required., • Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals, • Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions, • Prepare and publish high-quality scientific papers, reports, presentations, and protocols, • Present research at national and international conferences, seminars, and internal meetings, • Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams, • Build and maintain research infrastructure, laboratory capabilities, and cutting-edge technologies, • Mentor and support junior researchers, including PhD students and research assistants, • Translate research findings into commercial or translational opportunities in alignment with EIT's mission, • Identify and pursue opportunities for intellectual property generation and protection, • Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. • Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial genomics, cell biology, genomics, robotics and automation, metabolomics, and proteomics.), • Track record of delivering ambitious research projects to a high standard, • Strong track record in research, ideally in molecular biology, synthetic biology, or related fields, • Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable, • Proven ability to work independently, think creatively, and solve complex experimental problems, • Experience publishing in high-impact journals and presenting at international conferences, • Excellent organisational skills with the ability to manage multiple concurrent projects, • Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams, • Capacity to build and sustain productive collaborations internally and externally, • Resilience, adaptability, and enthusiasm for working in a fast-paced, high-growth research environment, • Deep scientific curiosity and the drive to run ambitious experiments at scale, which can be used for the training and validating foundation models for the purpose of understanding and predicting an organism's phenotype from its genome and environment, • Basic familiarity with machine-learning concepts is welcome (what a model needs from data: coverage of the variable space, controls, replication, consistent metadata), • Annual Bonus, • Travel Allowance, • Enhanced sick pay, • 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) #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 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. 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. We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Generative Biology Institute (GBI). This is your opportunity to be part of cutting-edge research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high-impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology. • Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications., • Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals., • Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions., • Prepare and publish high-quality scientific papers, reports, presentations, and protocols., • Present research at national and international conferences, seminars, and internal meetings., • Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams., • Build and maintain research infrastructure, laboratory capabilities, and cutting-edge technologies., • Mentor and support junior researchers, including PhD students and research assistants., • Translate research findings into commercial or translational opportunities in alignment with EIT's mission., • Identify and pursue opportunities for intellectual property generation and protection., • Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. • Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids chemistry.)., • Track record of delivering ambitious research projects to a high standard., • Strong track record in research, ideally in molecular biology, synthetic biology, or related fields., • Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable., • Proven ability to work independently, think creatively, and solve complex experimental problems., • Experience publishing in high-impact journals and presenting at international conferences., • Excellent organisational skills with the ability to manage multiple concurrent projects., • Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams., • Capacity to build and sustain productive collaborations internally and externally., • Resilience, adaptability, and enthusiasm for working in a fast-paced, high-growth research environment., • Competitive salary + Travel Allowance + Bonus, • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electrical 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! • You must be eligible to work in the UK with a willingness to travel as necessary. We are open to sponsoring employment visas for this role; however sponsorship is not available for all visa types or in all circumstances. Eligibility will be assessed on a case-by-case basis., • You must be based in, or within easy commuting distance of, Oxford., • During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme. #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. Welcome to the Generative Biology Institute: 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. Job Summary We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Generative Biology Institute (GBI). This is your opportunity to be part of cutting-edge research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI’s exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high-impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, technology, and engineering, you will help shape GBI’s vision to reimagine what’s possible in biology. We advertise opportunities across all of our GBI research groups on our careers page. If you are interested in joining the Generative Biology Institute (GBI) but are unsure which group is the best fit, or if you are interested in future opportunities, we encourage you to apply to this role. You may also apply directly to any specific group listed on our careers page that best aligns with your background and interests. Applications are reviewed on a rolling basis. In your cover letter, please outline your interest in the GBI, your suitability for our research environment, and your relevant experience. All applications must be submitted exclusively through the EIT job portal. Due to the high volume of applications, please note that the review and decision process may take up to 3–6 months. Key Responsibilities for all Postdoctoral Researchers: • Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications., • Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals., • Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions., • Prepare and publish high-quality scientific papers, reports, presentations, and protocols., • Present research at national and international conferences, seminars, and internal meetings., • Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams., • Build and maintain research infrastructure, laboratory capabilities, and cutting-edge technologies., • Mentor and support junior researchers, including PhD students and research assistants., • Translate research findings into commercial or translational opportunities in alignment with EIT’s mission., • Identify and pursue opportunities for intellectual property generation and protection., • Ensure research activities comply with EIT’s policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential and Desirable Knowledge, Skills and Experience: • Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids chemistry.)., • Track record of delivering ambitious research projects to a high standard., • Strong track record in research, ideally in molecular biology, synthetic biology, or related fields., • Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable., • Proven ability to work independently, think creatively, and solve complex experimental problems., • Experience publishing in high-impact journals and presenting at international conferences., • Excellent organisational skills with the ability to manage multiple concurrent projects., • Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams., • Capacity to build and sustain productive collaborations internally and externally., • Resilience, adaptability, and enthusiasm for working in a fast-paced, high-growth research environment. We offer the following benefits: • Competitive salary + Travel Allowance + Bonus, • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electrical Car Scheme Why work for EIT: 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! Terms of Appointment • You must be eligible to work in the UK with a willingness to travel as necessary. We are open to sponsoring employment visas for this role; however sponsorship is not available for all visa types or in all circumstances. Eligibility will be assessed on a case-by-case basis., • You must be based in, or within easy commuting distance of, Oxford., • During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme. #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

Great food in the workplace isn't simply about fuel.It's about increasing productivity and improving performance; it's about happy, motivated people and inspiring environments. Our customers are at the heart of everything we do - we live to bring food and people together. We are brave, bold and curious adventurers in food and drink. Never shy of being different, always challenging the conventional. Our passionate team of chefs, baristas, servers, nutritionists and much more, love nothing more than creating memorable moments that enrich the everyday.Come and join our award-winning teams - we are currently recruiting for a Commercial Manager to join our team at Oxford Brookes University on a part time, fixed term basis. Location: Oxford, OX3 0BP Working Hours: 8 hours per day, Tuesday and Wednesday Salary: £45,000 per annum pro rata Key Responsibilities: Working in conjunction with Finance Business Partner on agree daily/weekly tasks as requested by Account Director and Client Collating daily sales data and reporting to client Collating Ops finance data to support sales initiatives Updating Labour tracker data Supporting payment of POs and invoicing Updating finance trackers Any adhoc data requests from wider finance mgmt teams Ideal Candidate: Highly organised with strong attention to detail. Confident working with data, reporting and financial trackers. Strong Excel skills and comfortable managing large volumes of information. Able to prioritise workloads and meet deadlines in a fast-paced environment. Strong communication skills and able to work effectively with stakeholders at all levels. Previous experience in a finance, reporting or administrative support role is desirable. What's in it for you? Working with G+G has its perks! People are at the heart of everything we do, so we've developed a range of benefits to keep you happy. Personal Development and Training opportunities Life assurance scheme Pension scheme Holiday allowance Access to Healthcare Support App which includes Annual health check, Digital GP, Mental Health Consultations, Nutritional Consultations, Second Medical Opinion Eye care A great wellbeing strategy - including access to our Employee Assistance Programme, salary finance Family friendly support Regular social events and communication with our leaders A holiday purchase scheme Volunteering days Professional subscriptions Recognition schemes and people awards Long service awards Access to some great high street discount vouchers About Us As part of Compass you'll help to feed people, fuel progress and forge connections in around 6,000 venues. 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. Job Reference: com/0810/48592001/52838400/SU #Gather and Gather 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

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. Welcome to the Generative Biology Institute: Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technologyis tackling the key challenges in making biology engineerable, and thereby releasing the unrivalled power of biology for the benefit of humanity. The vision of 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. 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 Endeavours. The AI & Robotics Team The AI & Robotics team at EIT brings together AI research, robotics and scientific expertise to make biological matter computable and testable, at scale, and by any scientist. We build generative and predictive models of biological molecules and systems, physics-grounded simulation and design tools, and autonomous laboratories that generate the data these models learn from and test the designs they propose. Project Monera You will be joining the projectMonera, a joint project across the Generative Biology Institute and the AI & Robotics team building multi-modal generative models of whole organisms, starting withEscherichia coli in order to understand and predict an organism's phenotype from its genome and environment and, in time, to design genomes for a desired function. The team works as one integrated computational and experimental group: experimentalists generate genetic variation and quantitative measurements at scale (growth and fitness, transcriptomics, proteomics, metabolomics), the models are trained and validated on that data, and the results shape the next round of experiments and insights. The experimental work is based in GBI's laboratories in the Oxford Science Park, alongside GBI's automation capability and in daily contact with the AI scientists in the AI & Robotics team. Job Summary We are building a joint experimental computational team focussed on building, training and validating multi-modal biological models. The team will: i) generate experimental perturbation and measurement data at scale, ii) build multi-modal biological models and, iii) use the experimental data they generate to train and validate the multi-modal biological models they build. In this role you will: i) perform experimental genome engineering work to generate genetic variation at scale and/or ii) design and implement scalable biological measurement over one or more modalities. Where appropriate the work will leverage the substantial automation capability within the institute. Your work will be performed under the guidance of Jason Chin. You will be part of a single team composed of AI scientists and synthetic biologists working together. We are looking for colleagues with deep expertise in genome engineering and/or quantitative phenotyping of model bacterial species such as Escherichia coli. The role requires the ability and willingness to work as part of a cross-disciplinary team at the interface of computational and wetlab biology. Our team ethos is based on mutual learning, strong peer-to-peer support, and a deep sense of scientific curiosity and ambition. This is your opportunity to be part of cutting-edge research within an institute dedicated to engineering biology at an unprecedented scale. You will be leveraging GBI’s exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high-impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, AI, technology, and engineering, you will help shape GBI’s vision to reimagine what’s possible in biology. Key Responsibilities: • Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. In particular, the successful applicant will utilise genome engineering strategies in the lab to produce a diversity of microbial strains as the source of training and validation data in a high throughput fashion. In addition, they will also design and prototype a range of experimental measurement strategies for characterising these strains at scale., • Collaborate with other GBI scientists from other groups expert in synthetic biology, automation, bioinformatics, -omics and machine learning, and AI scientists from the AIR institute, as required., • Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals., • Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions., • Prepare and publish high-quality scientific papers, reports, presentations, and protocols., • Present research at national and international conferences, seminars, and internal meetings., • Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams., • Build and maintain research infrastructure, laboratory capabilities, and cutting-edge technologies., • Mentor and support junior researchers, including PhD students and research assistants., • Translate research findings into commercial or translational opportunities in alignment with EIT’s mission., • Identify and pursue opportunities for intellectual property generation and protection., • Ensure research activities comply with EIT’s policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Relevant, Skills and Experience: • Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial genomics, cell biology, genomics, robotics and automation, metabolomics, and proteomics.)., • Track record of delivering ambitious research projects to a high standard., • Strong track record in research, ideally in molecular biology, synthetic biology, or related fields., • Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable., • Proven ability to work independently, think creatively, and solve complex experimental problems., • Experience publishing in high-impact journals and presenting at international conferences., • Excellent organisational skills with the ability to manage multiple concurrent projects., • Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams., • Capacity to build and sustain productive collaborations internally and externally., • Resilience, adaptability, and enthusiasm for working in a fast-paced, high-growth research environment., • Deep scientific curiosity and the drive to run ambitious experiments at scale, which can be used for the training and validating foundation models for the purpose of understanding and predicting an organism's phenotype from its genome and environment., • Basic familiarity with machine-learning concepts is welcome (what a model needs from data: coverage of the variable space, controls, replication, consistent metadata). Our Benefits: • Annual Bonus, • Travel Allowance, • Enhanced sick pay, • 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: • 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 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, • Artificial Intelligence & Robotics, • Climate Change & Managing CO₂ 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 an experienced Event Delivery and Genotyping Manager to join the Crop Transformation Pipeline team within the Plant Biology Institute. This role will lead molecular event confirmation, genotyping assay strategy, event advancement decisions and delivery of high‑quality gene edited and transgenic crop events to downstream trait and product teams. The successful candidate will be a technical authority in genotyping technologies for transgenic and gene edited crops, with strong experience in event characterisation, assay development, sample tracking, molecular data interpretation and project delivery. They will connect transformation, tissue culture, greenhouse, vector design, bioinformatics and trait teams to ensure that events are confirmed, prioritised and handed over with robust data packages. This role is critical to building an industrial‑grade event delivery capability for crops including corn, wheat and other strategic species. The candidate will establish event stage‑gate criteria, molecular QC workflows, genotyping vendor strategies, LIMS‑enabled sample tracking and performance metrics that improve speed, quality and predictability of event delivery. The candidate will own the downstream event confirmation and delivery process, ensuring that regenerated plants and events are sampled, genotyped, QC‑reviewed, prioritised and handed over with clear molecular data packages. • Lead the event delivery workflow from transformation output through plant recovery, sampling, molecular confirmation, quality review, advancement decisions and handover to trait, greenhouse or product teams, • Design, validate and implement genotyping assays for transgenic and gene edited events, including transgene presence/absence, edit detection, zygosity, copy number, junction assays, backbone absence, on‑target and off‑target analysis, segregation tracking and event integrity, • Apply appropriate genotyping technologies such as endpoint PCR, qPCR, ddPCR, KASP, HRM, Sanger sequencing, amplicon sequencing, targeted sequencing, NGS and targeted capture approaches to support event selection, • Partner with the Vector Design Manager to ensure every construct is paired with a fit‑for‑purpose molecular assay plan before transformation begins, • Develop event stage‑gate criteria and decision frameworks for advancing gene edited and transgenic events based on edit outcome, transformation quality, copy number, expression/reporter data, regeneration status and downstream programme needs, • Coordinate sample collection, DNA extraction, plate maps, barcoding, chain‑of‑custody, sample submission, vendor shipment and data return across internal laboratories and external service providers, • Work with bioinformatics and data teams to analyze edit outcomes, chimerism/mosaicism, indel profiles, sequence confirmation, off‑target risk, event integrity and molecular quality metrics, • Own event inventory management, genotype data capture, sample traceability and event status dashboards using ELN, LIMS and structured data systems, • Track key pipeline metrics including event yield, transformation efficiency, edit frequency, assay success rate, QC pass rate, sample turnaround time, regeneration‑to‑confirmed‑event conversion and event delivery timelines, • Manage external genotyping, sequencing and molecular characterisation service providers, ensuring quality, turnaround time, budget and data format expectations are met, • Create SOPs, sample submission templates, assay validation standards, QC checklists, data interpretation guides and event handover templates, • Develop detailed project plans, resource forecasts, risk registers and milestone dashboards for event confirmation and delivery activities, • Train and mentor scientists, research associates and technicians in sample tracking, genotyping workflows, assay interpretation and event advancement criteria, • The successful candidate will combine technical depth in plant genotyping and event characterisation with strong operational discipline. They will ensure that transformation outputs are converted into well‑characterised, decision‑ready events that can be advanced efficiently and confidently, • The candidate will be expected to support IP creation, regulatory readiness and commercial translation by ensuring event data packages are accurate, traceable and fit‑for‑purpose for downstream development, • Collaborate with vector design, crop transformation, tissue culture, greenhouse, trait discovery, bioinformatics, automation/AI, regulatory/IP, legal, procurement and external partner teams, • Present event delivery status, molecular characterisation data, genotyping assay performance, risks and mitigation plans to project teams and leadership, • Define clear standards for event sampling, molecular QC, genotyping interpretation, event advancement and handover across the pipeline, • Contribute to training and capability building across the Plant Biology Institute, including best practice in genotyping assay development, event confirmation and data integrity, • Represent the event delivery and genotyping function in internal and external collaborations, ensuring scientific quality, confidentiality and timely delivery, • Establish a robust event delivery and genotyping engine that improves speed, predictability and confidence in gene edited and transgenic crop event generation, • Improve event advancement decisions by ensuring transformation outputs are molecularly confirmed, QC‑reviewed and prioritised using clear stage‑gate criteria, • Reduce wasted downstream effort by filtering events early using robust genotyping, molecular QC and data‑driven decision‑making, • Support translation of scientific discoveries into commercially applicable crop improvement tools and trait products, including IP and regulatory‑ready data packages, • PhD in Plant Biotechnology, Molecular Biology, Genetics, Genomics, Crop Science or a related discipline, or MSc with significant relevant industry experience. At least 5-7 years of experience in plant biotechnology, genotyping, molecular characterisation or event advancement, • Demonstrated expertise in genotyping technologies for gene edited and transgenic plants, including PCR, qPCR, ddPCR, KASP, Sanger sequencing, amplicon sequencing and NGS‑based approaches, • Strong experience designing, validating and interpreting molecular assays for event confirmation, including copy number, zygosity, insertion confirmation, junction analysis, backbone screening, edit outcome analysis and segregation tracking, • Strong understanding of crop transformation workflows and the practical requirements for moving events from transformation through regeneration, sampling, genotyping, greenhouse transfer and downstream handover, • Experience with molecular data interpretation for genome editing outcomes, including indels, precise edits, multiplex edits, chimerism/mosaicism and off‑target assessment, • Experience with ELN, LIMS, sample barcoding, plate maps, structured data capture, event inventory management and data integrity practices, • Excellent project management skills, including milestone tracking, resource planning, vendor management, risk management and stakeholder coordination, • Proven ability to manage external vendors, service providers or collaborators for genotyping, sequencing, DNA extraction, assay development or molecular characterisation, • Ability to communicate event status, molecular data, risks and advancement recommendations clearly to scientific, operational and leadership audiences, • Strong troubleshooting, documentation and continuous improvement mindset, • Experience in industrial ag‑biotech, commercial seed/trait development, molecular breeding, crop transformation platforms or product development pipelines, • Hands‑on experience with corn, wheat, soybean or other major crop species, including genotype‑dependent transformation and event recovery challenges, • Experience developing regulatory‑ready molecular event data packages or working within GLP, QMS or quality‑controlled research environments, • Experience with high‑throughput genotyping workflows, 96/384‑well sample handling, automation, liquid handling, LIMS integration and dashboard reporting, • Experience with whole‑genome sequencing, targeted capture, off‑target prediction/validation or bioinformatics‑supported edit analysis, • Experience building or leading a small technical team and establishing new operational processes in a fast‑moving research environment, • 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

The programme is flexible, allowing you to work around other commitments or take a full‑time role if desired, with pay of £45–£90 per. Osborne Richardson is delivering a four‑year contract to conduct food premises inspections for Leeds City Council and City of Bradford MDC in West Yorkshire.

This is a part time role 3 days per week, 4 hours per day which incudes working every other weekend. To join us as a Food & Beverage Assistant, you'll need: \n Experience in a hospitality, catering or customer service environment \n An understanding of food hygiene and health and safety practices

Hours: 25 hours per week - Term-time only (39 weeks).

We're one of the busiest food delivery platforms in the country, delivering orders in your local area every day. Deliveroo is transforming the way people think about food. Become a food delivery driver with Deliveroo and find work that suits you.

This is a casual, part-time role offering flexible working. As a Bank Care Assistant, you could be doing anything from supporting residents with their food and drink and following care plans to ensuring that each of our residents has one-to-one time.

Part-Time Cleaner North Hertfordshire & Cambridgeshire | Flexible Hours | Own Car Essential Join a new cleaning business where standards matter. Able to work independently and manage their time effectively Trustworthy, conscientious and respectful of clients' homes and properties Flexible and willin

Commercial Window & Exterior Cleaner (Full-Time) Oxford, Oxfordshire £27,000 - £32,000 per year + bonuses This is a. Paid overtime , including Saturdays 28 days' paid holiday. Overtime and occasional weekend work available.

Returning to the warehouse around lunchtime.

Permanent, Full Time About the role: In this hands-on Logistics position, you will be joining an established team of operatives to pick, transport and receive materials and deliver them to the production line at our client site in Eynsham. What we offer: Increasing holiday entitlement with length of

Assistant store manager About bp retail We want to be the first choice for our customers now and in the future.We are at the heart of customer facing roles and at the forefront of an ever-changing market, supporting our customers with all their needs.What you get Management bonus (up to 11.Flexible

Good written and verbal communication skills, with the ability to work collaboratively as part of a team.

Apply now and start your new role in Islip! Benefits: Discounted or free food Free parking On-site gym On-site parking Work Location: In person Benefits: Canteen Discounted or free food Free parking Gym membership Health & wellbeing programme On-site gym On-site parking Work Location: In person Imme

Excellent numeracy and literacy skills Commitment to hit targets Ability to work in a target driven environment Good communication skills and ability to work as part of a team Attention to detail and able to work to a high level of accuracy whilst working quickly.

This role is essential for maintaining the high standards of service expected in a fast-paced distribution environment. Safely operating a Low Level Order Picker (LLOP) in a fast-paced environment.

Warehouse Operative , you will need: Previous warehouse experience is essential LLOP experience is desirable but not essential Own reliable transport due to site location and shift times Ability to work full-time fixed PM shifts Basic English and numeracy skills Physically fit and comfortable liftin

Job Description Blue Arrow is currently looking for Warehouse Operative for NN15 with ongoing assignments.Paid Full week training provided - Parking on the site - Working - shift pattern: Various Shifts Your main duties will be: -Picking goods -You will be trained to use picking trucks -Stock moveme

This job advert may not be copied, imitated, or used, in whole or in part, by third-party websites, without prior written consent from Staffline. Staffline is the UK's largest recruitment solutions partner, enabling over 35,000 people into good work every week. As one of the most established recruit

This is a fantastic opportunity to become part of an established business, playing an important role in the assembly and testing of electronic products. Work as part of a team to meet production targets.

This job advert may not be copied, imitated, or used, in whole or in part, by third-party websites, without prior written consent from Staffline. There are both full and part-time positions available, working fixed shifts. About Staffline Staffline is the UK's largest recruitment solutions partner,

This is an active, customer-facing role involving the delivery of large household items, heavy lifting, and assisting with installations as part of a two-person team. As a self-employed Driver / Installer, you will operate as part of a flexible 2-person crew. Drivers are required to have a sack barr

And that's just the beginning — as you continue to succeed, you'll unlock access to a variety of employed positions across our delivery operations and other departments, giving you the chance to grow your career even further within NewsTeam. Join News Team Group, a fast-growing company delivering

You will collect parcels from your local Evri delivery unit at an agreed time, then deliver your round in the surrounding area. Apply today and start earning in time for Christmas.

This role is essential for maintaining efficient operations within a fast-paced distribution environment, ensuring that customer orders are processed accurately and on time. Safely operating a Low Level Order Picker in a fast-paced environment, adhering to site health and safety regulations.

Main Duties: Assist in the assembly and finish of moulded parts as directed by the Team Leader. Adopting good workmanship standards, paying particular attention to quality.

Carry out cutting, grinding and flow coating as part of the manufacturing process.

As well being part of a lively and supportive team, we are surrounded by fascinating residents who also bring so much to our lives every day too. Here's some other important things you need to know: You must be alert at all times to our residents' physical and mental well being Organise and accompan

Shifts: Monday – Sunday Job Types: Full-time, Temporary Work Location: In person Available Locations We are recruiting Postal Delivery Workers across the following Royal Mail delivery offices and locations: Oxford Delivery Office – OX1 1XX Thame Delivery Office – OX9 3ZZ Kidlington Delivery