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Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to he... ZIPC1_UKTJ

Job title: Senior Data Scientist Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Senior Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. The majority of business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: • Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models, • Identify and create data solutions that create value, • Work collaboratively with the pricing and machine learning teams to provide insight across the business, • Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market, • Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: • Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability, • Be the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation, • Prototype ML solutions before handing to the ML team for implementation, • Conduct more advanced yet focused research and development to solve business challenges, • Work collaboratively with other teams to analyse and identify improvements to risk modelling and wider business challenges, • Use a wide range of data science and statistical techniques, • Research and leverage new and existing internal and/or external data sources, • Communicate results to key decision makers across the business, • Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created Key Skills and Experience: • PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience, • Previous experience within data science, • Experience in insurance pricing and modelling, • Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques, • Knowledge of statistics and distributions commonly used in insurance, • Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL), • Proficient at communicating results in a concise manner both verbally and written Behaviours: • Motivated by technical excellence, • Driven to deliver iterative improvements in a timely fashion, • Team player, • Self-motivated with a drive to learn and develop, • Logical thinker with a professional and positive attitude

Trainee Data Scientist - No Experience RequiredAre 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 full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership • Define and evolve the data science roadmap aligned to business priorities., • Identify high-value ML use cases and translate commercial problems into scalable analytical solutions., • Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration., • Establish best practices for experimentation, evaluation, reproducibility, and documentation., • Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery, • Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling., • Design scalable feature pipelines in collaboration with Data Engineering., • Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks., • Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing)., • Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement, • Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready., • Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences., • Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk, • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits • Hybrid working, • Training and development budget, • Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development. Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI / ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements: Deep expertise in engineering agentic AI systems Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows

Data Scientist (ML Engineer) Location: Manchester Salary: £49,387 to £56,515 per annum Vacancy Type: Permanent, Full Time The closing date is 18 June 2026 Job summary Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission. Main duties of the job We're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you'll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You'll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you'll do and bring to the role • Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production., • Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities., • Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI., • Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions., • Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches., • Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. About us The Architecture & Data team sits at the heart of NICE's digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: • Generous NHS Pension - Secure your future with one of the most rewarding pension schemes in the UK, • Flexible working - Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times, • Exclusive discounts - Save on shopping, dining and more with a Blue Light CardTime to recharge - Start with 27 days' annual leave plus bank holidays, • Inclusive staff networks - Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity, • Tailored development - Grow your career with personalised learning and development opportunities Person Specification • Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development., • Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically., • Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products., • Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making., • Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable • Artificial intelligence certification. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. To Apply If you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application.

NPD Scientist required on a permanent basis in Manchester. Requiring a postgraduate qualification (MSc or PhD) in a relevant scientific discipline such as Chemistry, Biotechnology, Cosmetic Science or similar. Experience within hair or scalp care is highly advantageous, along with an interest in active ingredient innovation, performance validation and commercialisation. Title: NPD Scientist – Hair & Scalp Care Location: Manchester Salary: £30,000 - £40,000 per annum (dependent on experience) Term: Permanent SRG are working with a highly innovative company who have been creating speciality products for a range of markets, including personal care and cosmetics, for over 30 years. As they expand their research and development capability, they are now seeking a NPD Scientist to join their technical team. This position offers the opportunity to play a key role in the creation of next‑generation active ingredients, supporting projects from early‑stage concept through to commercial readiness. The successful candidate will work at the interface of chemistry, biotechnology and applied science, contributing directly to the development of differentiated, market‑ready solutions within hair and scalp care applications. This role would suit a scientifically driven individual who enjoys hands‑on laboratory work, problem solving and translating research into tangible commercial outcomes. Benefits: You will join an innovative, science‑led organisation with a long‑standing track record in ingredient innovation. 37.5 working hours/week, 8.30am and 4.40pm, Mon-Fri. Excellent company pension, with 25 days holiday plus 8 statutory bank holidays. Role / Description • Contributing to the ideation and development of new functional actives aligned with business and market objectives, • Developing laboratory‑scale production routes using chemical, biological or bio‑derived methodologies, • Refining and improving processes to enhance consistency, efficiency and suitability for scale‑up, • Assessing ingredient performance through experimental data, literature review and external testing where required, • Supporting the transition of projects from laboratory development into pilot and manufacturing environments, • Working closely with formulation, quality and commercial teams to ensure technical viability and application fit, • Preparing clear technical documentation, reports and data summaries to support decision‑making and launches, • Maintaining accurate experimental records and adhering to laboratory, quality and safety standards Requirements • Postgraduate qualification (MSc or PhD) in a relevant scientific discipline such as chemistry, biotechnology, cosmetic science or a related field, • Industrial experience within product development, ingredient research or applied R&D, • Background in working with natural, bio‑derived or functional ingredients is advantageous, • Experience supporting scale‑up, process transfer or cross‑departmental development projects is beneficial For more information please call Chris Beckenham on 0161 667 1795. Keywords: phd, research, biology, biotechnology, biochemistry, doctorate, msc, speciality ingredients, molecule, microbiology, microbiological, plant source, personal care, biosynthetic, bioprocess, bioprocesses, fermentation, bio fermentation, upstream, downstream, cell cultivation, metabolite, cell lysates, metabolic pathway, enzyme, aseptic techniques, industrial biotechnology, e.coli, bacillus, yeast, bioreactor, purification, HG2, GMO, extraction, natural source, ingredients, ingredient mechanism, hair care, scalp care, trichology, sustainability, natural, ayurvedic, biotech-derived, enzymatic.

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Manchester. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Manchester, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com. For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Genetic Engineer (Plant) You are a hands-on plant scientist with strong molecular biology expertise. You enjoy working at the bench, solving complex biological problems, and translating fundamental science into real-world applications. You want to work in a fast-paced, ambitious biotech where your work directly contributes to solving global challenges like food security and sustainable agriculture. We are partnering with an exciting University of Manchester spinout developing a completely new frontier in crop technology. Their focus is on engineering chloroplast and mitochondrial genomes to introduce high-impact traits into major crop species. This approach unlocks advantages not possible through traditional nuclear genome engineering, including higher expression, stability, and non-Mendelian inheritance. This is a rare opportunity to join at an early stage and directly contribute to building a new category of agricultural biotechnology. You will work closely with the founding team and R&D colleagues to develop and deliver cytoplasmic traits across multiple crop species. THE ROLE: As a Plant Scientist, you will play a key role in designing, executing, and delivering experimental work to enable cytoplasmic trait development. Key responsibilities: • Design and execute plant molecular biology experiments, • Develop and optimise gene editing and transformation approaches in plant systems, • Collaborate closely with a multidisciplinary R&D team, • Contribute ideas and scientific insight in a dynamic, early-stage environment ABOUT YOU: • PhD (or equivalent experience) in plant science or a related field, • Strong hands-on experience in plant molecular biology Nice to have: • Experience with gene editing or plant genetic engineering, • Experience working with crop species (e.g. wheat, maize, tomato, potato) LOGISTICS: • Full-time, on-site role, Manchester, • Exciting early-stage biotech environment If you are excited by the opportunity to help build a new technological paradigm in crop science, apply here or reach out to tyler@singular-biotech.com

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Science Supply Teachers in Manchester - Join Tradewind Recruitment! \n\nAre you a qualified Science teacher living in Manchester with a flair for Chemistry, Biology, or Physics? Tradewind Recruitment is looking for flexible, enthusiastic QTS Science supply teachers for short-term and long-term placements. Whether you're an atom in the vast universe of education or looking to experiment with a new role, we've got opportunities that will keep you charged up and ready to go!\n\nThe Benefits of Flexible Supply Teaching with Tradewind:\n\nCompetitive Pay Rates - We offer top rates of pay because we believe your knowledge is reacting with great value. You bring the science, we bring the rewards!\n\nIdeal for a Flexible Lifestyle - Supply teaching is the perfect solution for teachers who want flexibility. You can titrate your workload by choosing shifts that suit your schedule, whether full-time or part-time.\n\nRegular Local Work - We work with a range of grammar schools, academies and sixth form colleges in Manchester and Trafford - if you are a scientist in Sale, a chemist in Chorlton, a physicist in Flixton or a Biologist in Blackley - no need for a long commute to get to the experiment!\n\nNo Planning or Marking - Get your reaction to teaching without the stress of lesson planning or marking. Focus on engaging students in hands-on learning while leaving the extra workload behind.\n\nNo Work to Take Home - Keep your evenings free of schoolwork. Everything stays within school hours, leaving you to relax and recharge when you're not teaching.\n\nHoliday Pay - You choose if you want to be paid inclusive of holiday pay or bank it to claim during the school holidays. You'll always have the option to pause and recharge!\n\nOpportunities for Direct Employment - Many of our supply roles lead to direct employment, so your experiment with supply teaching could lead to a permanent job.\n\nInternal Payroll Team - Our payroll team is onsite in London. Not offshore, not through a third party. We don't leave your service or pay to chance. It's all in our hands for a reaction you can trust\n\nAccess to CPD - We offer over 2,500 free training courses through our partnership with The National College, so you can accelerate your career and keep your skills sharp - always evolving like a true scientist!\n\n Easy Timesheet Management - Our user-friendly online portal makes it simple to track your hours and manage your availability. No need for complicated calculations - we keep things elementary.\n\nWhat We're Looking For:\n\nQTS Status or QTLS (Qualified Teacher Status or Qualified Teacher Learning and Skills) Enhanced DBS Disclosure (we can assist with this\nOverseas Police Clearances (if applicable) and professional reference checks\nA full CV with employment and education history (including explanations for any gaps) Legal right to work full-time in the UK with no restrictionsReady to react to your next teaching role? Apply now to join Tradewind Recruitment and enjoy the flexibility and benefits of supply teaching in Science! Whether you're reacting with Chemistry, evolving with Biology, or firing up Physics, we have the perfect role for you.\n\nFor more details, please call the Manchester office on (phone number removed) or email (url removed)

Biomedical Scientist | Pathology | Full Time | Perm | Manchester \n\nWe're looking for a motivated Biomedical Scientist to join our Pathology team at Manchester Hospital. This full‑time, role offers the chance to work in a supportive, well‑equipped laboratory while playing a key part in delivering accurate and timely diagnostics for our patients this role will be working in the Microbiology Department \n\nIf you're passionate about high‑quality laboratory practice and keen to contribute to a collaborative healthcare environment, we'd love to hear from you. \n\nDuties and responsibilities \n\n- To assist in the organisation, management and development of services within specialty of expertise provided by the laboratory.\n- To liaise with the Laboratory Consultant and the Laboratory Manager, to ensure the provision of the high-quality service in an efficient and cost-effective manner.\n- Plan, analyse, assess and report pathology investigations.\n- Analyse, interpret and report information and knowledge related to ideas and concepts.\n- Develop and evaluate the movement of laboratory specimens, blood and tissues.\n- Assist with research and development.\n- Plan, monitor and quality assure the application of technology for measuring and monitoring pathology investigations.\n- Provide and receive complex, sensitive or contentious information.\n- Develop own knowledge and skills and that of others.\n- Promotes best practice in health and safety and security.\n- Assist in maintaining and developing services.\n- Contribute to quality improvement.Who we're looking for \n\nQualifications and Training \n\nDegree qualified, HNC Medical Laboratory Sciences or equivalent which would allow individual to be eligible for Associate Membership of the Institute of Biomedical Sciences.\nBiomedical Scientist with the Health & Care Professions Council.Experience \n- Working within a performance driven culture while maintaining safe standards. \n- Assists in meeting financial and budgetary targets. \n- Supporting the commercial development of pathology services locally \n- Experience in a scientific laboratory. \n- Experience of independent sector \n- Strategically commercial and familiarity with service developments. \n- Experience of working in partnership with consultants and participating in helping to create innovative solution for new pathology services. \n- Uses evidence-based practice \n- Auditor \n\nBenefits\nWe offer employees a competitive salary as well as a comprehensive benefits package which includes but is not limited to: \n\n- 35 days annual leave inclusive of bank holidays\n- Employer and employee contributory pension with flexible retirement options\n- Spire for you' reward platform - discount and cashback for over 1000 retailers\n- Free Bupa wellness screening\n- Private medical insurance\n- Life assurance\n- Free onsite parkingOur Values \n\nWe are extremely proud of our heritage in private healthcare and of our values as an organisation: \n\n- Driving clinical excellence\n- Doing the right thing\n- Caring is our passion\n- Keeping it simple\n- Delivering on our promises\n- Succeeding and celebrating together\n- Our people are our difference; it's their dedication, warmth and pursuit of excellence that sets Spire Healthcare apart.For us, it's more than just treating patients; it's about looking after people \n\nWe commit to our employees well-being through work life balance, on-going development, support and reward. \n\nSpire Healthcare is a leading independent hospital group in the United Kingdom and the largest in terms of revenue. From 39 hospitals and 8 clinics across England, Wales and Scotland, Spire Healthcare provides diagnostics, inpatient, day case and outpatient care. \nSpire Healthcare are proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive culture for all. Our people are our difference, it's their dedication, warmth and pursuit of excellence that sets Spire Healthcare apart

Data Scientist (ML Engineer)\nLocation: Manchester\nSalary: £49,387 to £56,515 per annum\nVacancy Type: Permanent, Full Time\nThe closing date is 18 June 2026\nJob summary\nDo you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making.\nAs an organisation we all collaborate to achieve this goal by empowering our workforce to do great things!\nPlease note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility.\nWe reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission.\nMain duties of the job\nWe're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you'll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You'll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight.\nWhat you'll do and bring to the role\n Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production.\n Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities.\n Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI.\n Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions.\n Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches.\n Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues.\nAbout us\nThe Architecture & Data team sits at the heart of NICE's digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes.\nWe can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment.\nWe are passionate and proud of the work we do and the impact we make. NICE offer:\n Generous NHS Pension - Secure your future with one of the most rewarding pension schemes in the UK\n Flexible working - Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times\n Exclusive discounts - Save on shopping, dining and more with a Blue Light CardTime to recharge - Start with 27 days' annual leave plus bank holidays\n Inclusive staff networks - Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity\n Tailored development - Grow your career with personalised learning and development opportunities\nPerson Specification\n Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development.\n Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically.\n Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products.\n Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making.\n Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams.\nDesirable\n * Artificial intelligence certification.\nDisclosure and Barring Service Check\nThis post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.\nTo Apply\nIf you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application

Develop your career in a role where you’ll take the lead in delivering high quality, patient focused diagnostic services. As a Specialist Biomedical Scientist with extensive experience in haematology, you will provide expert guidance while working in a collaborative and forward-thinking environment. Your leadership will help shape patient care and accelerate scientific progress. Our Biomedical Scientists cover a range of services in blood sciences including haematology, clinical chemistry, blood transfusion and the Jersey Blood Donor Service. We are investing in our people and are devoted to build on our excellent scientific centre to deliver outstanding pathology services to our island community. This is your invitation to embrace a life that’s far from ordinary in Jersey, where breath taking scenery unfolds, safety and inclusivity thrive, and miles of sandy beaches beckon during warm summers and mild winters. Jersey is a unique place to live and work and being a Biomedical Scientist in Jersey is different. As a crown dependency, we are an Island nation which includes our own healthcare Service. It is a service on the move. With our patients and health professionals at the centre of all we do, as a Biomedical Scientist you have more time to deliver your role and we give more time to you, for your development and wellbeing. And as with many aspects of Island life, our healthcare system is familiar enough for comfort but offers variances that mean our Biomedical Scientists have a different experience. For an informal discussion please contact: pathologycareers@health.gov.je Reda more about our Biomedical Science department here: _ For a full job description click here: _ For more information about Jersey and relocation to the island: _

Clinical Scientist – Exciting Career opportunity in Radiation Oncology – British overseas Territory The small team in this centre are seeking to hire a new Medical Physicist/Clinical scientist. Life on the Island is excellent for those who enjoy an outdoors lifestyle, water sports and a high standard of living… this is the opportunity of a lifetime! What’s on offer? Excellent basic salary (depending on experience and negotiable) Relocation package, including one month of accommodation on arrival Health and dental plan Pension contribution Access to a training and development fund What are we looking for? Master’s degree or Phd in Medical physics/similar degree Certification in home country on Medical physics / Radiation Physics or similar degree Experience in supporting radiation oncologists, dosimetrists and radiation therapists Great attitude and willingness to work in a small team SBRT/SRS and introduction of new technology will be a huge plus but not essential

This is a full-time, permanent role to support clinics predominately the South / Midlands of England and is a great opportunity for a clinically aware individual to support the delivery of high-quality technical assistance and clinical support to clinicians, surgeons, and patients using MED-EL hearing solution systems across a range of settings. In this role, you will assist in building positive relationships with multi-disciplinary teams, helping to maintain the company’s strong reputation. You will support the delivery of an efficient and accurate clinical service, contribute to addressing basic clinical queries relating to MED-EL products, and help provide education and training on existing products, with opportunities to develop knowledge of future innovations. We are looking for a strong communicator who who has a willingness to learn technical concepts and holds the ability to clearly explain information to people with varying levels of understanding. The ability to rapidly grasp technical concepts and explain them to persons with a variety of knowledge levels is essential. Company Description MED-EL is a global leader in hearing implant solutions and innovative medical devices. Over 50 years of research, development, and dedication at MED-EL has created pioneering hearing implants and solutions for children and adults in over 175 countries worldwide, to more than 200,000 individuals in more than 4370 clinics. With more than 3000 employees across our worldwide team from around 90 nations, our global Headquarters are in Innsbruck, Austria where all of our hearing implants are manufactured. Our MED-EL UK Employee Surveys prove we are a ’Great Place to Work’ with excellent engagement, support, commitment, motivation, sense of purpose and passion. With our focuses including inclusivity, respect and a culture of continuous quality and personal improvement, our engagement results are positive year on year and we are proud to employ dedicated and passionate people. Key Accountabilities include: • Provide clinical support to clinics using MED-EL systems, including device checks and supporting appropriate reporting processes., • Support non-standard and complex cases, including candidacy decisions and internal device considerations., • Carry out mapping/fitting activities, including more complex cases where required., • Perform electro-physiological (objective) measurements as appropriate., • Provide intra-operative support and measurements when needed., • Liaise with clinical and voluntary sector professionals to understand their needs and identify how MED-EL can support them., • Deliver training for clinic staff and on new products., • Attend and contribute to workshops, conferences and training events., • Assist in preparing clinical materials such as leaflets and guidance documents., • Maintain appropriate reporting systems, including audit and activity data., • Provide clinical support via telephone and email to professionals, patients and families., • Contribute to service delivery, including supporting improvements and promoting good clinical practice., • Represent MED-EL at meetings and events, sharing clinical, technical and research information. Experience & Qualifications • Audiology health professional background essential, similar to band 6 NHS role expectations, • Ability to demonstrate a range of current clinical skills and experience in an NHS (or comparable) clinical setting, including an advanced knowledge of hearing aid and/or implantable hearing devices., • Current UK Registration at Audiologist or Clinical Scientist level (or eligibility for immediate registration) via RCCP, HCPC or a similar professional body, • Ability to work compassionately with patients of varying age groups, • Bachelor's or Master's degree in Audiology or a related field, • Experience with MED-EL devices or similar hearing technologies is a plus, • Current right to work in the UK status, • IT Literacy

The role: We are seeking an experienced Senior Data Scientist to develop and deploy predictive analytics and machine learning solutions that deliver measurable business value. This role combines hands-on data science, data engineering, and model deployment, working across the full lifecycle from data acquisition and preparation through to production implementation and monitoring. The ideal candidate will have strong commercial experience building predictive models, working with large datasets, and delivering scalable, production-ready solutions. Exposure to modern AI technologies, including LLMs, is desirable. Responsibilities: • Design, build, and deploy predictive and machine learning models., • Analyse complex datasets to generate insights and support business decision-making., • Develop pricing, forecasting, and predictive analytics models to support commercial optimisation and revenue growth., • Develop and maintain data pipelines and data preparation processes., • Work across multiple data sources to create reliable datasets for analytics and modelling., • Collaborate with engineering teams to deploy and monitor models in production., • Contribute to data science best practices, technical design, and continuous improvement initiatives., • Mentor junior team members and support the growth of internal data science capabilities. Skills & Experience • Significant commercial experience in Data Science, Machine Learning, or Advanced Analytics., • Strong Python skills with experience using pandas, NumPy, Jupyter, and related tools., • Hands-on experience building and deploying predictive models in production environments., • Experience with pricing, forecasting, revenue optimisation, risk modelling, or similar predictive analytics use cases is highly desirable., • Experience designing and maintaining data pipelines and working with large datasets., • Knowledge of SQL and modern database technologies., • Familiarity with cloud platforms, APIs, CI/CD, and containerisation technologies., • Exposure to LLMs, Generative AI, or Natural Language Processing is advantageous., • Excellent analytical, problem-solving, and stakeholder management skills. Ideal Candidate A pragmatic, hands-on Data Scientist who combines strong modelling expertise with practical data engineering experience and can deliver robust, scalable solutions that drive commercial outcomes.

Do you want to build data science solutions that improve lives, not clicks? Would you thrive working directly with healthcare and public sector clients on the front lines of care delivery? Are you looking for impact-led projects where you own delivery end-to-end? A leading UK consultancy is scaling its AI & Data Science team to drive measurable outcomes in the healthcare and public sectors. Known for embedding hands-on technical teams with clients, they specialise in delivering real-world impact across complex, regulated environments. With a strong consulting culture and growing AI footprint, they’re tackling meaningful public health challenges using ML, NLP and simulation. Expect high visibility, autonomy, and the opportunity to shape an expanding capability. You’ll work with public health & social care stakeholders to solve critical challenges — from fall prevention using clinical data to streamlining patient care pathways. The role combines technical depth with consulting breadth, requiring both hands-on ML work and the ability to influence delivery at scale. They’re hiring at Lead (3–5 years’ experience) and Principal (5–10+ years) levels. Key Responsibilities • Build and deploy ML and NLP models for public health and social care, • Work with structured data, clinical notes and unstructured healthcare datasets, • Partner with client teams to define, iterate, and deliver data-driven solutions, • Lead multidisciplinary delivery teams and translate insights into real-world KPIs Key Details • Salary: £80,000 – £150,000, • Working model: On-site 3+ days/week with UK healthcare clients, • Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools, • Visa: This role cannot sponsor Interested? Please apply below.

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security. Key Responsibilities • Apply data science, machine learning, and AI techniques to solve complex, real-world problems, • Research, design, and implement innovative models and solutions, • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support, • Deliver high-quality, scalable solutions with measurable impact, • Collaborate with multidisciplinary teams in agile environments, • Contribute to new ideas, propositions, and project delivery, • Build strong relationships with stakeholders and communicate insights effectively Essential Skills & Experience • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia, • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications, • Excellent communication skills with the ability to present complex ideas clearly, • Experience working with stakeholders and cross-functional teams, • Track record of contributing to project delivery, innovation, or capability development Desirable Skills • Experience working with text, audio, image, or video data, • Familiarity with cloud platforms (AWS, Azure, GCP), • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch), • Knowledge of statistics and probability, • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo), • Understanding of Ethical and Responsible AI principles Security Requirements You must hold active UK Developed Vetting (DV) clearance.

Applied AI Scientist | Agents | Up to £120,000 | United Kingdom (Remote) We’re supporting a fast-growing UK technology scale-up that is hiring an Applied AI Scientist to join a highly capable technical team. This is a role for someone who enjoys working at the intersection of machine learning research, software engineering and applied problem solving. You’ll be taking complex AI/ML concepts and turning them into reliable, scalable systems that can be used in demanding real-world settings. It’s a strong fit for someone who wants more than pure research, but still wants the technical depth, mathematical challenge and freedom to explore modern AI approaches. The role As an Applied AI Scientist, you’ll work in a hands-on, delivery-focused engineering environment where you’ll help design, build and improve advanced AI capabilities. You’ll be involved across the full lifecycle, from understanding complex requirements and exploring suitable approaches, through to model development, system integration, optimisation and deployment. This is a practical, highly technical role where strong Python engineering, mathematical rigour and modern AI/ML knowledge are all important. What you’ll be doing You’ll be working on areas such as: • Translating AI/ML research into robust, production-ready solutions, • Designing and implementing machine learning models for complex applied problems, • Building and integrating modern AI systems using techniques such as RAG, LLMs, embeddings, vector search and multi-agent architectures, • Writing clean, performant Python code for production environments, • Working closely with engineering teams to improve architecture, reliability and scalability, • Collaborating with stakeholders to turn ambiguous or complex problems into delivered technical solutions, • Contributing to technical direction, best practice and knowledge sharing across the team What we’re looking for You’ll likely bring: • A strong academic background in a quantitative discipline such as Physics, Applied Mathematics, Statistics, Computer Science or similar, • Excellent Python skills for AI/ML development, • Hands-on experience with frameworks such as PyTorch, JAX, TensorFlow, Scikit-Learn or similar, • Strong mathematical and statistical foundations, • Experience developing ML models or AI systems beyond experimentation, • An ability to work across research, engineering and product-style delivery, • A pragmatic mindset and comfort working in a fast-paced scale-up environment It would be helpful if you also have experience with: • RAG, LLMs, embeddings, vector databases or agent-based systems, • MLOps tools such as MLflow, Kubeflow or similar, • Docker, Kubernetes or containerised deployment environments, • Simulation, optimisation, decision-support or modelling techniques, • Secure development practices, • Working with complex, regulated or high-reliability systems You’ll need to be UK-based, open to occasional travel, and willing to go through standard background/security checks if required. Why consider it? This is an opportunity to join a scaling technology company at an exciting stage of growth, working with a strong technical team on challenging AI problems. The package includes: • Competitive salary and benefits, • Remote UK working, • Access to modern AI tools and infrastructure, • A high-trust culture focused on delivery rather than bureaucracy, • Regular company-wide Fridays off and early Friday finishes, • Around 20 additional days’ worth of time back each year through company days off.

Job Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: • 2-4 years of experience in Data science/Machine learning models from coding to deployment., • Work with datasets using Python or R, SQL, No SQL., • Assist in developing predictive and statistical models, • Write and optimize queries using SQL., • Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability., • Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch. Preferred Skills: • Hands on experience in coding (mandatory python and SQL or C++)., • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Familiarity working with large data sets., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Site Civil Engineer £55,000 - £70,000 Travel to Hinckley Point required Your Role At Capgemini Engineering, we are proud to be at the forefront of some of the most technically demanding and societally critical infrastructure projects in the world. As part of our growing nuclear engineering capability in the UK, you will join a team of highly skilled engineers delivering complex, safety-critical structures at one of Europe's largest and most significant energy projects — Hinkley Point C. This is a rare opportunity to work at the intersection of civil engineering excellence, nuclear safety culture, and cutting-edge construction methodology, contributing directly to the UK's clean energy future. As a Site Civil Engineer at Hinkley Point C, you will be embedded on-site and play a central role in the delivery of critical nuclear structures, including fuel pools, tanks, liners, and sumps. Working within a highly regulated and safety-focused environment, you will bridge the gap between design intent and physical construction, ensuring that every element of the build meets the stringent quality, compliance, and performance standards required of nuclear infrastructure. Key responsibilities include: • Leading on-site construction and engineering activities for reinforced concrete structures including fuel pools, tanks, and sumps — ensuring all works are executed in strict accordance with approved designs, technical specifications, and nuclear quality standards, while actively monitoring site progress to support safe, compliant, and timely delivery, • Overseeing the installation of stainless steel liners within concrete structures, including full supervision of welding activities — reviewing welding procedures, qualifications, and inspection and test records (including NDT where applicable), and ensuring full traceability and compliance with applicable nuclear codes and standards throughout, • Ensuring technical compliance across all structural elements, verifying that designs and completed works satisfy demanding performance requirements including pressure resistance, seismic performance, and leak-tightness, as well as supporting implementation of requirements relating to radiation protection and nuclear safety classification, • Managing technical queries, RFIs, and non-conformance reports (NCRs) with rigour and timeliness — supporting root cause analysis, driving corrective actions to resolution, and maintaining a close liaison with design and engineering teams to ensure site issues are resolved efficiently and without impact to programme or quality, • Maintaining the highest standards of quality assurance and documentation, reviewing Inspection and Test Plans (ITPs), verifying that hold points and quality controls are properly observed, ensuring full traceability of all construction works, and actively supporting audits and regulatory inspections as required, • Coordinating across multiple technical and project interfaces, working closely with civil and mechanical contractors, subcontractors, design teams, and quality and safety functions — participating in coordination meetings and ensuring consistent technical alignment across all disciplines involved in the delivery of nuclear structures, • Contributing to a strong nuclear safety culture on site, promoting awareness of nuclear safety principles among site teams, supporting the implementation of safety-critical procedures, and ensuring that all activities reflect the values and behaviours expected within a highly regulated nuclear environment Your Profile We are looking for a driven and detail-oriented civil engineer with proven experience delivering complex structures in nuclear or similarly regulated environments. You will bring both technical depth and the communication skills needed to operate effectively across a wide range of project stakeholders. • A degree in Civil Engineering (or equivalent discipline), combined with a minimum of 5 years' experience in site-based civil engineering roles, ideally on large-scale infrastructure or nuclear projects — with direct experience of reinforced concrete construction and structural installation being essential, • Hands-on experience with stainless steel liner systems and welding coordination or inspection, ideally within nuclear fuel pools, containment structures, or similarly demanding containment applications, supported by a strong working knowledge of relevant welding standards, NDT methods, and quality control processes, • Solid understanding of nuclear or highly regulated construction environments, including familiarity with nuclear safety culture, safety classification systems, seismic and pressure design requirements, and the regulatory frameworks governing construction activities on nuclear-licensed sites, • Proven ability to manage technical documentation processes including NCRs, RFIs, TQs, and ITPs — with a methodical, detail-oriented approach to quality assurance and a track record of maintaining full traceability in a compliance-driven environment, • Strong interpersonal and communication skills, with the confidence to liaise effectively across contractors, subcontractors, designers, safety teams, and client representatives — combined with a collaborative mindset, sound problem-solving ability, and the resilience to perform under pressure in a demanding, fast-paced site environment If 75%+ of the criteria are met, then your application still may be considered as training and up-skilling will be provided to the right candidates. Diversity & Inclusion Capgemini Engineering recognises the benefit that having a diverse workforce brings to our projects. We value applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. In order to support diversity in our hiring process, your application will be anonymised when shared with hiring managers to be reviewed against the position. Benefits As a permanent employee of Capgemini Engineering you will have access to a range of benefits alongside your salary including an annual bonus scheme where you could share in the company’s success. You will get 25 days paid holiday outside of the bank holidays, a pension scheme with employer contributions, options for private medical cover as well as life assurance and enhanced maternity/paternity pay. For some employees you will also be eligible to take part in our impressive employee referral scheme (£3,000 per employee referred). About Us Capgemini Engineering combines, under one brand, a unique set of strengths from across the Capgemini Group: the world leading engineering and R&D services of Altran – acquired by Capgemini in 2020 - and Capgemini's digital manufacturing expertise. With broad industry knowledge and cutting-edge technologies in digital and software, Capgemini Engineering supports the convergence of the physical and digital worlds. Combined with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 52,000 engineer and scientist team members in over 30 countries across sectors including aeronautics, automotive, railways, communications, energy, life sciences, semiconductors, software & internet, space & defence, and consumer products. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

AI Engineer • Location: Flexible (UK), • Reporting to the Squad leader, • Salary: £80k–£100k The company is a global hospitality software leader with its award-winning SaaS platform. Recognised in the UK’s Top 35 AI Companies, and a leader in hospitality tech — it has built a reputation for innovation, excellence, and a relentless drive to transform the experience ecosystem. As we enter a new era of AI-driven product development, we are seeking a hands-on, visionary Data Scientist to help shape the future of our platform and accelerate our transformation. The Opportunity • You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models., • Your work will be project-driven, and highly visible — with the unique satisfaction of seeing your innovations deployed instantly to tens of thousands of clients worldwide., • This is a role for someone who wants to build, not just advise. Someone who wants to lead by example, not from the sidelines. Someone who wants to shape the future of a global SaaS platform. What You will Bring Core Expertise • Proven experience delivering AI-prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate:, • Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows., • or hands-on experience building and deploying ML or Deep Learning pricing/ analytical models., • You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini, Sonnet., • You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume third party data and features in order to quickly improve our market delivery., • You will be expected to provide assistance and advice related to the deployment of AI based projects., • Ability to influence/inspire other engineers and help shape product design and release processes through AI-driven skills. Who You Are • You have learned from the best — and now you want the freedom to drive meaningful, practical change., • You lead by doing sleeves rolled up, hands on the keyboard, setting the pace for others., • You value theory, but you prioritise practical execution and measurable outcomes., • You are energised by seeing your work impact 30,000+ organisations globally, not just internal stakeholders., • You are resilient: legacy stacks (MS-SQL, C#, JavaScript, ongoing React migration) do not scare you — they motivate you., • You are excited to join the core platform Squad’s, long-standing mission to standardise language, data structures, UX and UI navigation standards and you can bring structure, clarity, and discipline to projects., • You thrive in environments where excellence matters more than ego, and where the team is united by a desire to win. Work Style & Culture This role is for someone who loves solving puzzles, building solutions, and pushing boundaries. It is not a lifestyle job — it is a mission-driven one. That said, the company offers: • Flexible working hours, • Flexible working locations (most engineers work from home), • A friendly, bright, ambitious team, • A culture that embraces change, learning, and innovation You will be joining people who genuinely love what they do, and who are committed to delivering the best hospitality software in the world.

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Pla

AI / Machine Learning Engineer NLP / LLM - Contract Manchester, UK Job type Full-time Job Description AI / Machine Learning Engineer NLP / LLM - Contract Contract Duration:6 months Rate:Up to £500 per day IR35:Outside Location:Fully remote, with occasional ad-hoc travel to the office The Role: A technology-focused organisation is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights ar...

Senior Data Scientist My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. This is a hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: • Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance, • Translate business objectives into modelling strategies aligned to risk appetite and operational constraints, • Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent), • Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions, • Establish monitoring frameworks for performance, drift, and retraining, • Drive clear documentation, traceability, and governance appropriate for a regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience • Proven commercial ML/Data Science delivery with measurable impact, • Experience taking models into production and managing performance over time, • Prior experience leading or mentoring Data Sci...

Job title: Senior Data Scientist Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Senior Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. The majority of business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: • Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models, • Identify and create data solutions that create value, • Work collaboratively with the pricing and machine learning teams to provide insight across the business, • Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market, • Identify and create solutions that leverage vas...

Given our continued success, we are actively seeking Project Managers (including Associate and Senior levels) to act as the main point of contact for allocated client projects, ensuring effective coordination, progress tracking and high-quality delivery. ABOUT YOU The position requires a highly organised and detail-oriented professional who thrives in a fast-paced, client-facing environment. You will be confident managing multiple priorities, building strong stakeholder relationships, and ensuring a consistently high level of service delivery. You will bring a strong scientific background alongside excellent communication and coordination skills, with the ability to translate technical information into clear, client-friendly language. You may currently be working as a Scientist, Senior Scientist, Project Coordinator, or Project Manager and be looking to develop your career further within project management. Required skills and experience: • Educated to a Higher Education level in a relevant scientific discipline (e.g. Cell Biology, Molecular Biology, Biochemistry or related), with laboratory exposure, • Proven experience working within a laboratory, CRO, or pharmaceutical environment, • Strong Cell & Molecular experience is essential, including areas such as:, • Cell culture, • Cell-based assays, • Molecular biology techniq...

Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol | Onsite/Hybrid | Permanent Our client is a leading global technology and consulting organisation, recognised as one of Fortune's World's Most Admired Companies, delivering advanced data and AI solutions across highly secure government and defence environments. Due to the nature of these programmes, only candidates holding active UK Developed Vetting (DV) clearance can be considered for this role. This opportunity sits at the forefront of MLOps, machine learning, and GenAI, working within a specialist team delivering high-impact solutions in complex, high-assurance environments. The position combines hands-on engineering with technical leadership, supporting the design, deployment, and optimisation of advanced AI systems. You'll have the opportunity to: • Work on cutting-edge GenAI and machine learning solutions, • Build and deploy LLMs and ML models across cloud and HPC environments, • Take ownership of technical delivery within projects, • Act as a go-to speciali...

NPD Scientist required on a permanent basis in Manchester. Requiring a postgraduate qualification (MSc or PhD) in a relevant scientific discipline such as Chemistry, Biotechnology, Cosmetic Science or similar. Experience within hair or scalp care is highly advantageous, along with an interest in active ingredient innovation, performance validation and commercialisation. Title: NPD Scientist – Hair & Scalp Care Location: Manchester Salary: £30,000 - £40,000 per annum (dependent on experience) Term: Permanent SRG are working with a highly innovative company who have been creating speciality products for a range of markets, including personal care and cosmetics, for over 30 years. As they expand their research and development capability, they are now seeking a NPD Scientist to join their technical team. This position offers the opportunity to play a key role in the creation of next‑generation active ingredients, supporting projects from early‑stage concept through to commercial readiness. The successful candidate will work at the interface of chemistry, biotechnology and applied science, contributing directly to the development of differentiated, market‑ready solutions within hair and scalp care applications. This role would suit a scientifically driven individual who enjoys hands‑on laboratory work, problem solving and translating research into tangible commercial outcomes. Benefits: You will join an innovative, science‑led organisation with a long‑standing track record in ingredient innovation. 37.5 working hours/week, 8.30am and 4.40pm, Mon-Fri. Excellent company pension, with 25 days holiday plus 8 statutory bank holidays. Role / Description • Contributing to the ideation and development of new functional actives aligned with business and market objectives, • Developing laboratory‑scale production routes using chemical, biological or bio‑derived methodologies, • Refining and improving processes to enhance consistency, efficiency and suitability for scale‑up, • Assessing ingredient performance through experimental data, literature review and external testing where required, • Supporting the transition of projects from laboratory development into pilot and manufacturing environments, • Working closely with formulation, quality and commercial teams to ensure technical viability and application fit, • Preparing clear technical documentation, reports and data summaries to support decision‑making and launches, • Maintaining accurate experimental records and adhering to laboratory, quality and safety standards Requirements • Postgraduate qualification (MSc or PhD) in a relevant scientific discipline such as chemistry, biotechnology, cosmetic science or a related field, • Industrial experience within product development, ingredient research or applied R&D, • Background in working with natural, bio‑derived or functional ingredients is advantageous, • Experience supporting scale‑up, process transfer or cross‑departmental development projects is beneficial For more information please call Chris Beckenham on 0161 667 1795. Keywords: phd, research, biology, biotechnology, biochemistry, doctorate, msc, speciality ingredients, molecule, microbiology, microbiological, plant source, personal care, biosynthetic, bioprocess, bioprocesses, fermentation, bio fermentation, upstream, downstream, cell cultivation, metabolite, cell lysates, metabolic pathway, enzyme, aseptic techniques, industrial biotechnology, e.coli, bacillus, yeast, bioreactor, purification, HG2, GMO, extraction, natural source, ingredients, ingredient mechanism, hair care, scalp care, trichology, sustainability, natural, ayurvedic, biotech-derived, enzymatic.

We are seeking an experienced Senior Data Scientist to develop and deploy predictive analytics and machine learning solutions that deliver measurable business value. A pragmatic, hands-on Data Scientist who combines strong modelling expertise with practical data engineering experience and can delive

Manchester University NHS Foundation Trust is hiring a Specialist BMS/Clinical Scientist for the Cellular Pathology Genomics Centre in Manchester.

Band 6 - Biomedical Scientist - Histology - Manchester Job Title: Histology Biomedical Scientist Banding: Band 6 Location: Manchester, Greater Manchester Hours: Fulltime Start Date: ASAP Rate:£22 – £26 per hour Duration: Ongoing We are seeking an experienced and knowledgeable Histology Biomedica

Manchester University NHS Foundation Trust in Urmston is looking for a Biomedical Scientist / Specialist Biomedical Scientist for its Biochemistry department.

Specialist BMS/Clinical Scientist - Cellular Pathology Genomics Centre The closing date is 10 May 2026 An exciting opportunity to become part of the Manchester Cellular Pathology Genomics Centre is waiting for you. This is an exciting opportunity to join the Cellular Pathology Genomics Centre team a

A healthcare recruitment agency is seeking an experienced Histology Biomedical Scientist to join a hospital laboratory in Manchester.

Pulse Healthcare is seeking a qualified Biomedical Scientist specialising in Haematology to join their team in Manchester.

This position offers competitive salary and professional development opportunities, including a Personal Development Budget of £6,000.

Locum Haematology/Blood Transfusion Biomedical Scientist - Manchester. Biomedical Scientist in Haematology. We are currently seeking a Band 6 Biomedical Scientist specialising in Haematology to join our client’s team in Manchester.

Develop problems requiring non‑trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;. This opportunity is a good fit for quantum researchers with an experience in Python open to part‑time, non‑permanent projects.

A project-based AI opportunity provider in the United Kingdom is looking for contributors to design computational physics problems.Ideal candidates will have a physics degree and proficiency in Python, along with a minimum of 2 years of professional experience.The role offers part-time engagement wi

A leading engineering consultancy in the UK is seeking an experienced Assistant Consultant or Consultant Soil Scientist to join their Ground & Water team.The role involves managing soil surveys and supporting various environmental projects.Candidates should have a degree in Soil Science and relevant

Alignerr is seeking a Wildlife and Habitat Conservation Scientist to evaluate AI systems focused on biodiversity protection.

NPD Scientist – Hair & Scalp Care. The successful candidate will work at the interface of chemistry, biotechnology and applied science, contributing directly to the development of differentiated, market‑ready solutions within hair and scalp care applications.

Alignerr is seeking experienced soil and water conservation scientists to improve AI systems used in sustainable management practices.You will evaluate AI-generated content regarding soil and water conservation, ensuring its scientific accuracy and real-world applicability.This fully remote role all

Energy Jobline ZR is seeking a bright NPD Scientist for their Manchester office to drive innovation in hair and scalp care.