Scientist jobs in United Kingdom

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Senior Machine Learning Engineer you will be responsible for the improvements and maintenance of our ML Framework, supporting a team of Data Scientists to deploy a variety of Machine Learning and AI models into production. The role works closely in collaboration with Data Scientists and Engineers to follow best practises and Governance. You will need to utilise the GCP Vertex AI suite to enable automated re-training and scoring, making sure our business partners have a robust system to access scores for targeting. What you'll do • Collaborate with our Data Scientists to enable them to also work within the Framework and prepare their models for production using various components., • Act as a bridge between Data Science and Data Engineering teams, ensuring seamless integration of models into production systems, • Self-starter who can work independently to deliver improvements to the framework., • Forward looking, always seeking for new ways to improve and develop on existing processes., • Work closely with ML Engineers from other teams to share learnings and accelerate development of new featuresWhat you'll bring, • Advanced working knowledge of Vertex AI and the wider GCP ecosystem., • Great communication skills to aid the Principal Data Scientist to develop long term roadmaps and be comfortable presenting to Data leaders when needed., • Strong working knowledge of modern ML frameworks (e.g., XGBoost, Scikit-learn, TensorFlow) and experience applying them to real-world problems., • Proficiency in writing clean, maintainable, and efficient code in Python and SQL., • Solid understanding of software engineering principles, including version control (Git), testing, CI/CD pipelines, and containerization (Docker/Kubernetes).Team overview The team sits within Sky Data OTT serving machine learning models to the NOW and WOW businesses in Europe. We work to increase personalisation for our customers through content recommendations and offers. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Hybrid pattern, 2 days a week in our Osterley Campus We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

As a Data Scientist at Data Reply, you will play a hands-on role in designing, building, and deploying data-driven solutions using machine learning (ML) and generative AI (GenAI) techniques on AWS. You will work alongside senior data scientists and engineers to transform business problems into scala

This is an excellent entry-level opportunity perfect for a talented individual who has recently graduated with a degree in a quantitive focus (Mathematics, Statistics, Physics or Economics).This role is specifically designed to set a new graduate up for success, so we are exclusively considering app

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.At FactSet, our values are the foundation of everything we do.They express how we act

Energy Aspects currently have an exciting opportunity available for a Senior Data Scientist - Earth Observation to join our Earth Observation team, based out of our London office.

White Collar Factory (95009), United Kingdom, London, London.Data Scientist - Deep Learning Practitioner.Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights.We are a talented, collaborative and e

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do • Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation., • Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production., • Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates., • Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions., • Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers., • A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team., • Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices, • Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers., • Familiarity with both pre-training and fine-tuning of large-scale models, • Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques., • A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront - to provide LGBTQ+ support for all associates, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all, • Women in Tech - promoting an inclusive environment in tech If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We're looking for a talented Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's world class science capabilities. It's an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. Joining our team, you'll work with world class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders What we expect from you * • Master's degree or equivalent in Computer Science, AI, ML, Statistics, Physics, Engineering, Biology, or a related field. PhD preferred., • Programming experience, ideally in Python, and ability to handle large data volumes with modern processing tools (e.g., Hadoop, Spark, SQL)., • Experience building CI/CD pipelines is a plus., • Experience with tools like Git for code management and collaboration., • Experience building and maintaining highly available production systems on GCP, Azure, or AWS., • Proficiency with machine learning techniques such as regularized regression, clustering, or tree-based ensembles, and implementing them via libraries., • Familiarity with open-source software, including machine learning packages (e.g., Pandas, scikit-learn), deep learning frameworks (such as PyTorch or TensorFlow), and data visualization tools., • Adaptable and quick learner in a fast-paced environment, producing high-quality code., • Strong communication skills, with a willingness to present work to both technical and non-technical audiences, and to contribute to the wider data science community., • Demonstrated ability to break down complex problems and develop innovative, data-driven solutions. A plus if you also have:, • Experience in retail sector. What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We're looking for a Senior Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you • Degree in Statistics, Maths, Physics, Economics or similar field, • 5+ years of experience required, • Programming skills (Python and SQL are a must have), • Analytical Techniques and Technology, • Logical thinking and problem solving, • Strong communication skills, • Stakeholder Management, • Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact, • Statistical Modelling and experience of applying data science into client problems., • Experience in retail domain would be an added advantage What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21 st century human experience - then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. We're looking for an Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside experienced and like-minded colleagues, challenging and rewriting the rules, not just following them. What we expect from you We're seeking a highly skilled and motivated individual who brings a strong blend of technical expertise, analytical thinking and client-facing confidence. The ideal candidate will demonstrate the following: • Advanced Analytical and Consulting Expertise: A proven background in applying analytical techniques to solve complex business problems, ideally within a consulting or commercial environment. You should be comfortable translating data into actionable insights and influencing decision-making at various levels., • Proficiency in Python and PySpark: Strong programming skills with hands-on experience in Python and PySpark, enabling you to build scalable data solutions and perform advanced data manipulation and analysis., • Dashboard Development in Power BI: Experience designing and building intuitive, impactful dashboards in Power BI to communicate insights effectively to stakeholders. We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

The Role: Develop, implement, and maintain advanced statistical and machine learning models for pricing and risk forecasting Support the delivery and enhancement of the model risk management framework within the Asset Risk function Collaborate with business SMEs to align model outputs with strat

Big Data Scientist ? Docklands London Our Client an international organisation is looking to recruit a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develo

Trainee Data Scientist - No Experience Required.Are you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth.The best part is you will not need any previous experience as f

As the Lead Data Scientist at Macquarie Asset Management, you will partner with business leaders, engineering, and cross-functional teams to architect the future of AI and data science, owning the end-to-end strategy, influencing executive and board-level decisions, and shaping how AI transforms our

Analyse structured and unstructured data from ecommerce platforms, open banking, and other non-traditional sources to improve underwriting precision and customer segmentation.

Data Scientist, Macro Fixed Income Hedge Fund, London [Onsite]. We are working with a macro fixed income hedge fund that are looking to hire a data scientist to undertake a range of activities as part of their nimble economic research team in London. You will focus on analysing complex alternative d

We are in search of a Head of Machine Learning: part strategist, part scientist, part conjurer of algorithms. A proven leader in machine learning or quantitative trading, well-versed in both the thrill of discovery and the drudgery of productionisation. Seasoned in the intricacies of markets: from t

A leading (Re)insurance firm is looking to hire a Data Scientist to join their growing AI & Data Science function. You will partner with specialists in software engineering, visualisation, and design, applying data science in a high-impact commercial setting.

Senior R&D Scientist – Metal Waste Valorisation Location: London (White City), Lab-based Salary: £42,000 – £52,500 per annum (Depending on experience) Vacancy Type: Permanent, Full Time Our client develops sustainable and cost-effective advanced materials, such as metal oxide particles, with sizes ranging from nano to micro, for widespread applications of today and tomorrow. The depletion of primary sources for critical materials underscores the urgent need for the development of efficient and sustainable metal recycling technologies. Therefore, they are now seeking an experienced scientist to work on the extraction of target metalsn from industrial polymetallic waste. The Role This role will focus on the use of hydrometallurgical and ionometallurgical processes for the targeted extraction of valuable metals from waste. The scientist, in collaboration with the R&D Lead, will be responsible for the delivery of the company’s portfolio of research activities to support technology and product development. Key Responsibilities • Act as the lead researcher responsible for delivering designated research activities. This will include overall project design and planning, developing a knowledge base to become their expert in the relevant project area, ensuring material and equipment are available, and coordinating other team members to ensure the delivery of high-quality projects in a timely and efficient manner., • Develop and conduct high-quality experimental test plans., • Keep organised, accurate and up-to-date experimental records in line with organisational practices., • Report and manage project risks and implement mitigations, in a timely manner., • Provide advice, technical support and troubleshooting across the organisation’s portfolio of research projects., • Ensure regular and effective communication to ensure Line Manager has visibility on project risks, progress, planning and execution., • Adhere to, and ensure adherence by other staff to, good laboratory practices and any relevant organisational processes and policies., • Supervise the laboratory activities of other staff members, as required., • Provide technical and other support for grant applications, as required., • Support dissemination activities (conferences, tweets, technical reports/publications etc). Essential: • PhD in Chemistry/Chemical Engineering/Metallurgical Engineering or relevant discipline or MSc + 3 years (min) or relevant experience., • Experience in the development and validation of hydrometallurgical and/or ionmetallurgical processes for metal extraction., • Hands-on experience with metal recovery from polymetallic waste., • Proficient in working/managing a chemical laboratory, creating/approving SOPs, maintaining high Health and Safety standards., • Ability to work independently and manage time effectively., • Excellent interpersonal skills, able to collaborate within teams & collaborators., • Excellent research skills including hypothesis generation, experimental design, and data analysis and interpretation., • Experience in the scale-up of hydrometallurgical or ionometallurgical processes., • Proficiency in relevant analytical techniques, e.g. XRD, XRF, SEM/EDX, and chemical characterisation of polymetallic waste e.g. elemental analysis, ICP-MS, LC-MS, GC-MS, TGA, IR, UV-Vis., • Familiarity with ionic liquids and/or deep eutectic solvents. If you feel you are a suitable candidate and would like to work for this reputable company, please do not hesitate to apply. This role is not an entry-level position for Materials Scientists; it requires expertise in chemical process development for metal extraction. Important Application Notes • This role does not involve materials synthesis, coatings or thin-film research. Candidates with experience limited to materials characterisation or materials development will not be considered., • If you applied previously for this role, please do not re-apply. Your previous application is being reviewed., • This role requires an immediate start (1 – 3 months) and candidates must be currently eligible to work in the UK. If you do not meet these criteria, unfortunately you will not be considered.

Our esteemed client, a recognised leader in defence and land systems, is seeking a highly skilled Safety Engineer to join their team based in Bristol. This is an exciting opportunity for a professional with extensive experience in safety systems and acquisition engineering within the land domain. Position Details Location: Bristol (3 to 4 days per week onsite) Contract Duration: Until 31 March 2026, with potential for extension Security Clearance: Current and active SC clearance required Rate: £450 - £570 per day (inside IR35) Role Overview As a Safety Engineer specialising in Land Systems, you will utilise your technical expertise to support complex projects by delivering safety policies and ensuring adherence throughout the lifecycle of military platforms and equipment. Your insights will underpin the development, deployment, and decommissioning of critical systems, maintaining safety and compliance standards in a highly regulated environment. Key Responsibilities Requirements Generation: Develop, review, and endorse safety artefacts, considering in-service support and cost implications. Safety Management: Manage safety management systems, identify hazards, and evaluate risk reduction measures. Legislation & Policy: Educate and guide teams on relevant safety legislation and standards to ensure compliant documentation. Risk Analysis: Conduct risk assessments and document safety impacts meticulously. Design & Advice: Provide safety engineering guidance across environmental and technical themes to decision-makers and project safety panels. Stakeholder & Contractor Management: Oversee contractual safety requirements and coordinate with contractors performing safety activities. Verification & Validation: Lead safety verification, testing, and evaluation processes to ensure system compliance. Safety Assurance: Develop safety assurance plans, monitor compliance, and gather evidence for safety case development. Disposal & Decommissioning: Manage safety aspects associated with system disposal and decommissioning tasks. Candidate Profile The ideal candidate will possess: A Science, Technology, Engineering, or Mathematics qualification at RQF Level 4 or above. Extensive experience in delivering safety systems and acquisition engineering outcomes within the land domain. Proven ability to provide technical advice, lead safety activities, and manage complex projects effectively. Professional registration as an Incorporated Engineer (IEng) or Registered Scientist (RSci) through a recognised professional body. Next Steps If you are a proactive safety engineer seeking a challenging role that makes a tangible impact within defence land systems, we would love to hear from you. Evodia Limited acts as an employment business for this vacancy and supports a transparent, straightforward recruitment process. Apply now to take the next step in your professional journey. TPBN1_UKTJ

Technician Scientist (Chemistry) Apprenticeship (Level 5 - Higher) About the apprenticeship As a Technician Scientist (Chemistry) Apprentice at AWE, you will undertake your apprenticeship induction within the Skills Academy; before joining the relevant functional teams based in our laboratories across the AWE Aldermaston and Burghfield sites. You will be assigned to one of the sub functions either: The Warhead and Deterrence Materials Science sub-function which is responsible for the research, testing and analysis of many different materials ranging from warhead components to environmental samples, or The Warhead Engineering sub-function which is responsible for product design and prototyping, engineering analysis, systems integration, validation and verification, and is home to a variety of engineers including electronic, mechanical, systems, materials and chemical engineers. This work is vital in assuring our mission to deliver the warhead is accomplished whilst keeping our people and environment safe. During the time in placements, you will undertake various laboratory-based tasks which will enable you to develop a complete set of skills and knowledge required to work successfully at AWE. During your apprenticeship journey, you will learn the following skills: Laboratory safety Handling of hazardous substances- awareness of radioactive and explosive materials Quality and its application in a laboratory environment Customer service skills Use of laboratory equipment Preparation of substances Sample preparation Analysis of samples Data handling Checking and reporting of results In addition, you will also be given the opportunity for personal development through activities such as team building challenges, organisational awareness presentations, health and safety workshops and charity projects. This role may appeal to you if you enjoy Enjoy both practical laboratory work and supporting office-based activities Have an interest in science and engineering and advancements in these areas Enjoy problem solving Enjoy working as part of a wider team Entry Requirements: Applicants must be aged 18 or over, as of 31st August 2026 due to security clearance requirements You must be a British National to apply for a role with us. 5 GCSE's at C/4 or above including Maths, English, Science technology or engineering related subject. At least 3 A Levels grade C or above including A level Chemistry and another Science or Maths A level. The Benefits: A starting salary of £23,500 yearly, increasing to £25,000 in Year 2 and annually throughout your apprenticeship subject to meeting key milestones and performance expectations. Market leading contributory pension scheme Generous holiday entitlement of 270 hours a year (inclusive of Bank Holidays) plus every other Friday off Access to employee discounts portal - everyday savings on retail, hospitality and leisure Employee Assistance Programme and Occupational Health Services Alongside these benefits you will get the opportunity to learn from some of the top leaders in their field whilst helping us to continue to deliver national nuclear security, threat reduction and counter-terrorism solutions. Location: Aldermaston/Reading area Start Date: Tuesday 1 st September 2026 Annual leave will not be granted from 1 st September until 2 nd October 2026 due to mandatory inductions you are required to complete as part of your apprenticeship. Any leave approved after this point will depend on the training provider requirements for your apprenticeship and must be agreed in advance. Duration: 36 months plus 3 months End Point Assessment. Recruitment Process: This vacancy will close on 7th December 2025 , but we review applications as they come inso we strongly encourage you to apply early. We want you to shine in your application process which is designed to be fair and transparent. So, we've kept it simple with a three-step process. 1. Online application: Apply for one apprenticeship; take your time to explore the options and choose the one that best matches your interests and goals. 2. Online test: If successful, you will be invited to complete our online assessment stage. These include online testing against numerical, verbal, logical and cognitive reasoning tests. Don't be intimidated: practice assessments will be available so you will be fully equipped with the knowledge of what to expect. 3. Virtual assessment: Those successful at testing will be invited to a virtual assessment centre. The Assessment Centres are scheduled for 9 th and 10 th December 2025, and 12 th , and 14 th January 2026.Please note that these dates may be subject to change, but rest assured, well keep all applicants informed throughout the process. These roles are governed by Health and Safety at Work Regulations and require all candidates to have an Occupational Health pre-employment medical held at AWE which follows the initial selection process. All candidates must be willing and able to obtain and maintain the necessary security clearance for the role and be willing and able to work in designated areas. Our ambition is to create workplaces where we recognise and celebrate differences, encourage diverse contributions and our employees feel able to be themselves at work. We strive to create a genuine culture of openness and inclusion and encourage diverse applicants. Any inclusion information you provide us will be used to encourage and support you through the application process and will be held only for this purpose in accordance with GDPR. TPBN1_UKTJ

Laser Scientist Science and Technology Facilities Council Salary: £52,907 - £58,198 per annum (dependent on skills and experience) Hours: Full-Time Contract Type: Fixed Term Contract (4 years) Location: Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus, Oxfordshire OX11 0DE Come and discover the kind of impact that you can make when you work with some of the best facilities and brightest scientists in the world. An exciting opportunity exists to join the Central Laser Facility (CLF) at the Rutherford Appleton Laboratory to work on the development of lasers driving next-generation particle accelerators and X-ray sources. The goal of this project is to design, install and test next-generation high energy femtosecond laser sources operating at 100 Hz to 1 kHz pulse rates. We are seeking to develop and demonstrate a reliable 100 TW peak power laser operating at the unprecedented pulse rate of 100 Hz. The pump source for the main broadband power amplifier will rely on the CLFs proprietary DiPOLE laser amplifier technology. Alongside, research and development work will be carried out to scale the pulse rate to 1 kHz. These short-pulsed, high peak and average power lasers will be used to drive plasma accelerators for the realisation of compact, high brightness secondary particle and radiation sources. This unprecedented operational regime will unlock unprecedented scientific, industrial and healthcare applications and open commercialisation opportunities. The CLF hosts a large range of cutting-edge lasers and experimental stations which are developed and operated by expert scientists, engineers and technicians. The CLF works with academic and industrial users to deliver science over a broad range of fields. We have around 200 staff and are a very friendly, outgoing and externally facing department. We have a welcoming and inclusive culture, and you will find that people will naturally help and support you. About the role: You will join the Centre for Advanced Laser Technology and Applications (CALTA) team and support the high peak power 100 Hz and 1 kHz projects by developing laser designs, setting up prototype systems and conducting experimental test campaigns. You will be part of a team of laser scientists, engineers and technicians and will engage with the wider CLF to understand the implications of plasma accelerator physics on laser driver specifications. You will take part in international collaborations and routinely engage with external experts. You will have the opportunity to present your research at international conferences and publish in high-profile peer-reviewed journals. Key areas of the role include: Contributing significantly to the development of new lasers, by performing the optical design of laser setups and diagnostics and by defining the specifications of laser components. Modelling broadband pulse amplification and propagation of chirped-pulsed amplification (CPA) systems. Defining and conducting proof-of-concept tests to de-risk key component technologies. Liaising with external suppliers and contractors to determine existing capabilities and future requirements and develop collaborative links with external research laboratories. Working as part of a team liaising with engineers to design key mechanical equipment for prototype testing. Lead installation and testing of prototype components in the laser laboratory to validate designs and technological solutions. About you: You should have significant knowledge of laser science and nonlinear optics. You will ideally be familiar with solid state laser design and have experience of broadband laser pulse amplification and diagnostics. You will have experience in modelling or simulations and be able to apply that knowledge to the design of laser systems. Person specification: The following criteria will be assessed at Shortlisting (S), Interview (I) or both (S&I) A PhD in physics or closely related subject (or equivalent experience). (S) Post-doctoral research experience (or equivalent relevant experience) with a record of independent research or autonomous thinking. (S&I) Significant knowledge of optics, nonlinear optics and solid-state laser physics. (S&I) Experience in modelling, optical design and testing of short-pulse lasers and diagnostics. (S&I) Experience in publishing in peer-reviewed journals and/or conference proceedings. (S) Competence with Matlab and/or LabVIEW, and Zemax/OpticStudio or other equivalent optical design software. (S&I) Knowledge of safety related issues and procedures for operating lasers. (S&I) Good interpersonal skills and ability to work as part of a diverse team. (I) Additional information: The role involves working in a laser laboratory. For more information about the role, please visit or contact . Our Benefits: STFC values their employees by offering a benefits package designed to provide an excellent work/life balance including 30 days annual leave, 10.5 public and privilege holidays, flexible working hours, exceptional average salary pension scheme, social and sporting activities and societies and a subsidised restaurant. We ask some of the biggest questions in the universe, to answer some of the biggest challenges in the world. Whatever our role, we have the freedom to explore, learn and connect, as part of a community that loves to share knowledge and support one another. As one of Europes largest research organisations, this is a place where theres always something new to learn about the world around us, about your career, but most of all, about yourself. Join us and discover whats possible! Please note, if you will require sponsorship to work in the UK, as part of your sponsorship application, you and any dependants travelling with you, will be required to pay costs directly to The Home Office for the application before you start your role with us. UKRI is normally able to reimburse some, or all of these fees after you have become an employee and this can be discussed with the Hiring Manager. For more information, please visit or contact . TPBN1_UKTJ

About Us Diamond Light Source is the UKs national synchrotron science facility. By accelerating electrons to near light-speed, Diamond generates brilliant beams of light from infra-red to X-rays which are used for academic and industry research and development across a range of scientific disciplines including structural biology, physics, chemistry, materials science, engineering, earth and environmental sciences. About the Role We now have an opportunity for a Software Scientist to join the OpenBind team at Diamond Light Source to lead on developing computational workflows for active learning guided experimental design and collaborate closely with an international consortium of leading researchers. In June 2025, the UKs Department for Science, Innovation and Technology (DSIT) announced an £8 million investment through its Sovereign AI Unit to establish the OpenBind Consortium a pioneering initiative hosted at Diamond Light Source to revolutionize AI-driven drug discovery. OpenBind will catalyze the worlds largest open dataset of protein-ligand crystal structures paired with affinity measurements, targeting over 500,000 datasets in five years - a twenty-fold increase over all publicly available data generated in the past half-century. This landmark dataset will address a critical bottleneck in pharmaceutical R&D: the scarcity of large-scale, high-quality data linking small molecules to their protein targets. By integrating automated chemistry, protein engineering, high-throughput crystallography, and cutting-edge AI/ML models, OpenBind aims to unlock a new era of generative drug design - enabling breakthroughs in previously intractable diseases and dramatically reducing the cost and timeline of drug development. The candidate will deploy and advance cutting-edge tools to enumerate chemical space around structural hits and known actives; and work with the rest of OpenBind to ensure designs are experimentally evaluated, that data feed into novel affinity prediction models, and that the workflow becomes useful for real-time structure-based drug design.The role encompasses algorithms, logistics of compound sourcing and coordination with experiment, and software engineering to containerize and harden workflows in our Cloud-based compute framework (Fragalysis). Appointees will: Integrate fully into the culture of both the Diamond-based research team and the wider OpenBind Consortium. Contribute to experiment design that delivers ultra-high-throughput proteinligand crystal structures and rapid dissemination of high-quality data. Develop and implement new methodologies to scale and optimize high-throughput crystallographic workflows for AI-readiness. Ensure structural outputs are suitable for training and benchmarking ML models. Contribute to the development of the Fragalysis, Scarab database, and other services for discovery, dissemination and deposition Operate and contribute to open-source algorithms and workflows for fragment progression, data processing and experimental design. Contribute to the execution of the research proposal as detailed in the Job Description appendix. Participate in internal scientific and administrative meetings with consortium collaborators. Lead or contribute to the analysis and publication of results in international peer-reviewed journals. Candidates for the senior grade will additionally: Drive and coordinate experiments that deliver ultra-high-throughput protein-ligand crystal structures and rapid dissemination of high-quality data. Develop, deploy, use and harden cutting-edge computational approaches to fragment progression, in the context of the Fragalysis Cloud Manage and prioritise the Fragalysis software development project and integration with the Scarab database and other services for discovery, dissemination and deposition. Work with the OpenBind leadership to set up and manage international collaborations, including raising funding, to develop the XChem computational chemistry tools (Fragalysis). Applicants will be considered at either Software Scientist or Senior Software Scientist level, depending on the strength of your skills, experience and qualifications. About You Candidates are sought with experience in computer aided drug discovery, medicinal chemistry or related topics (grade 5); very experienced candidates will be considered for the senior grade (grade 4).Successful candidates will contribute to the software stack underpinning OpenBind operations as well as the XChem user programme and will help shape the future of the open science drug discovery. Candidates must hold a relevant PhD and demonstrate proven scientific and technical experience. They should be rigorous, collaborative, and adaptable, with excellent communication and organizational skills. First-hand experience in high-throughput crystallography and AI/ML integration is highly desirable. The successful candidate will likely have: A proven interest in the methodology of drug discovery Experience in high-throughput and automated data generation and analysis A proactive approach to developing and optimizing scalable methodologies Excellent organizational skills, time management, and record keeping. Enthusiasm for working in multidisciplinary scientific teams and large-scale collaborations. Appointees will: Integrate fully into the culture of both the Diamond-based research team and the wider OpenBind Consortium. Contribute to experiment design that delivers ultra-high-throughput proteinligand crystal structures and rapid dissemination of high-quality data. Develop and implement new methodologies to scale and optimize high-throughput crystallographic workflows for AI-readiness. Ensure structural outputs are suitable for training and benchmarking ML models. Contribute to the development of the Fragalysis, Scarab database, and other services for discovery, dissemination and deposition Operate and contribute to open-source algorithms and workflows for fragment progression, data processing and experimental design. Contribute to the execution of the research proposal as detailed in the Job Description appendix. Participate in internal scientific and administrative meetings with consortium collaborators. Lead or contribute to the analysis and publication of results in international peer-reviewed journals. Candidates for the senior grade will additionally: Drive and coordinate experiments that deliver ultra-high-throughput protein-ligand crystal structures and rapid dissemination of high-quality data. Develop, deploy, use and harden cutting-edge computational approaches to fragment progression, in the context of the Fragalysis Cloud Manage and prioritise the Fragalysis software development project and integration with the Scarab database and other services for discovery, dissemination and deposition. Work with the OpenBind leadership to set up and manage international collaborations, including raising funding, to develop the XChem computational chemistry tools (Fragalysis). Benefits Diamond offers an exceptional benefits package to support staff in achieving a positive work/life balance. This includes 26 days annual leave plus Christmas closure, public holidays, 2 annual volunteering days and flexible working hours. We also offer an excellent defined benefit pension scheme. Staff also have access to a range of amenities on site including a nursery, cafes, a restaurant and sports and leisure facilities. A relocation allowance may also be available where applicable. As standard this role offers a hybrid working arrangement with a minimum of 3 days working onsite per week. To Apply Please use the online application process to apply and tell us why you believe you are suitable for this role. When applying please state whether you with to be considered at Software Scientist, or Senior Software Scientist level. As a visa sponsorship license holder, we are likely to be able to sponsor non-UK nationals that require visa sponsorship at Senior Software Scientist level. However, this position doesn't meet the requirements for visa sponsorship at Software Scientist level, except potentially for those people who meet the criteria of a new entrant. For more information please visit -Skilled Worker visa: Overview - GOV.UK () The closing date for applications is 28th November 2025 with interviews scheduled for 2nd December 2025 TPBN1_UKTJ

We have a fantastic opportunity for you to join our Electro-Optical (EO) Seekers & Sensors Department within our EO Technologies Team as an EO Technologist. Salary : £45,000 - £55,000 depending on experience Dynamic (hybrid) working : Minimum of 1-2 days per week on-site Security Clearance : British Citizen or a Dual UK national with British citizenship . Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus : Up to £2,500 (based on company performance and will vary year to year) Pension : maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities : Fantastic site facilities including subsidised meals, free car parking and much more... The opportunity: As a Department, we are responsible for supporting MBDA's complex weapon programmes through the provision of specialist EO support, as well as engaging in cutting-edge R&D activities - both internally, and pan-industry - to support the emerging, next-generation programmes. This is an exciting role; the successful applicant will join our EO Technology Group, where you will have the opportunity to work on a range of innovative EO technologies and methodologies. In order to support the future needs of the complex weapon portfolio, we have the responsibility for defining and owning MBDA's EO technology roadmaps. Your role will centre on developing and demonstrating the associated technologies and techniques through a combination of in-house laboratory & field testing, computational modelling and analysis based on the underpinning science. You will work within a highly skilled, experienced and multi-disciplinary team that will support you in delivering on our commitments. We will work with you to develop your skill, knowledge and experience, as well as supporting your ongoing professional development, all while ensuring a good work-life balance. What we're looking for from you: A well-rounded, technically-minded scientist or engineer with an understanding of electro-optic systems; experience of infrared imaging or Lidar systems is desirable but not essential Have a proven track record of on-time delivery; particularly in a dynamic working environment. Able to engage with a broad range of internal and external partners, and forge strategic technical relationships. Be adaptable, self-starting and able to work both independently and as part of a team. Basic project management knowledge, including planning and risk-management, or an aspiration to learn and develop this skill on-the-job. Experience of coding and data analysis; working knowledge of Matlab and Simulink is desirable but not essential. The desire to see innovative concepts from the early R&D phase, through to demonstration and ultimately product development. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more... We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. TPBN1_UKTJ

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