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Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment. This is a senior, hands-on practitioner role, not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility. The organisation is outcome-led rather than technology-led. Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: • Lead end-to-end machine learning delivery, from problem definition through experimentation, evaluation, and iteration, • Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results, • Design and run structured experiments to assess model behaviour, performance, and user impact, • Work with real, imperfect operational data, not just curated or static datasets, • Collect, assess, and transform data to support model evaluation and continuous improvement, • Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose, • Integrate machine learning components into wider systems, considering performance, reliability, and operational constraints, • Communicate complex technical ideas clearly to non-technical stakeholders, enabling informed decision-making, • Engage confidently in deep technical design and review discussions with peers, • Operate effectively within a strong technical assurance and review culture, • Collaborate with internal teams and selected external partners working at the leading edge of AIWhat we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: • Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent, • Strong grounding in applied mathematics, statistics, and scientific practice, • Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation, • Excellent Python skills for building, evaluating, and iterating on ML solutions, • Experience working with real-world, imperfect data from operational systems, • Strong software engineering practices, including readable, maintainable, and well-tested code, • Experience integrating ML components into broader production systems, • Clear understanding of data ethics, privacy, and responsible use of data, • Strong communication skills across technical and non-technical audiences, • Proven ability to lead work independently and take ownership of outcomesTechnologies you'll encounter The environment evolves, but typical tools include: • Python for experimentation, modelling, and evaluation, • Weights & Biases (or equivalent) for experiment tracking, • AWS, including services such as SageMaker and Bedrock, • Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools. Adaptability and outcome focus matter more than platform allegiance. Desirable experience • Working in secure, safety-critical, or heavily regulated environments, • Background in sectors such as energy, oil & gas, defence, or public sector, • Experience within formal technical assurance or governance processes, • Collaboration with external suppliers, partners, or research organisations, • Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Data Scientist ABOUT THE COMPANY The company is a group of established pharmaceutical and healthcare intelligence solution providers that support clients across the drug development life cycle, from pipeline through to patient access. THE TEAM The Data Science team focuses on developing AI, machine learning, and advanced analytics solutions that turn complex healthcare and pharmaceutical data into actionable insights for customers. The team works collaboratively across data science, product, domain experts, and engineering. Its work combines artificial intelligence, machine learning, statistical modelling, and sector knowledge to build customer-facing products and internal platforms. SCOPE OF THE ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI / ML to content, data, and products • Conduct research and identify AI / ML algorithms and methods to solve specific business problems, • Implement rigorous testing and evaluation of potential solutions; review indicative results and proofof- concepts with multi-disciplinary teams as part of customer-led product development • Deploy solutions as production-grade microservices in collaboration with engineering and DevOps teams • Contribute to common data science platforms and shared data assets, • Stay up to date with advances in the field and share relevant developments with internal teams As a senior-level scientist, you will primarily be responsible for one major release at a time with a high degree of individual ownership. While not all research leads to successful deployed systems, previous successful launches have typically reached general availability within approximately six months from project start. Solutions may use a wide range of approaches, including agentic systems, model context protocol (MCP) servers, retrieval augmented generation (RAG), classical machine learning, knowledge graphs, data transformations, and business logic. The emphasis is on solving the right problem rather than using a specific technology for its own sake. 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, including foundation model APIs, prompt engineering, and retrieval augmented generation • Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, and Deep Learning • Understanding of computer science fundamentals, computational complexity, and algorithm design, • Ability to engineer and deploy well-architected software packages, • Strong communication and stakeholder management skills, with the ability to independently own and execute a project holistically at a high level • Experience mentoring junior team members Preferred Qualifications: • 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 proof-of-concept web applications with familiarity across the full stack, • Expert usage of AI coding tools and workflows

Contract Principal Data Scientist (Senior Data Scientist) The Opportunity We're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact. This role sits at the intersection of data science, AI, and business strategy, combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data. What You'll Be Doing • Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value, • Design, develop and deploy advanced analytics, machine learning models, and data products, • Lead and contribute to high-impact data science projects across the organisation, • Translate complex analysis into clear, actionable insights and recommendations, • Work closely with data engineers to ensure robust, scalable data pipelines and solutions, • Provide technical leadership, setting standards and coaching other data scientists, • Drive innovation and champion the use of AI and advanced analytics, • Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: • Python and advanced statistical tools, • Machine Learning and AI frameworks, • Cloud-based data platforms (e.g. Azure ecosystems), • Data visualisation and reporting tools, • Data engineering and transformation pipelinesWhat We're Looking ForEssential:, • Extensive experience designing and delivering data science and AI solutions in real-world environments, • Strong expertise in statistical analysis, machine learning, and advanced analytics techniques, • Proven ability to write and optimise complex code, • Experience working closely with data engineers and multidisciplinary teams, • Demonstrable contribution to building data science capability and best practice, • Ability to communicate complex findings clearly to both technical and non-technical audiencesDesirable:, • Experience working in agile, iterative delivery environments, • Understanding of user research and user needs in product development What Makes This Role Stand Out, • Opportunity to lead and shape AI and data science strategy, • Combination of hands-on delivery and technical leadership, • Focus on delivering real-world impact through data, • Work across a variety of complex, high-value problem spacesKey Skills, • Advanced statistical analysis and modelling, • Data engineering collaboration and data lifecycle understanding, • Storytelling with data and visualisation, • Data ethics, privacy, and governance awareness, • Stakeholder engagement and influencing, • Product thinking and deliveryWhat You'll Deliver, • High-quality AI models and analytical solutions, • Insightful dashboards, reports, and visualisations, • Scalable and reusable data science products, • Established standards, practices, and capability improvements, • Thought leadership in data science and AI innovation Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Technical Manager (Atomic Layer Deposition)£45,000 - £52,500 + Generous Pension + Excellent Holiday Allowance + Flexible Working Environment + Professional Development + Conference Attendance + Long-Term Job SecurityAre you a Postdoctoral Researcher, Research Fellow or Nanofabrication Scientist with experience of Atomic Layer Deposition (ALD) looking for a long-term career opportunity outside the traditional academic pathway?Do you want to remain hands-on with cutting-edge thin film and nanofabrication technologies while gaining greater job security, flexibility and work-life balance than a typical postdoctoral position can offer?This is a rare opportunity to join one of the UK's leading research institutions and take ownership of a specialist nanofabrication and cleanroom facility supporting world-class research across physics, engineering and advanced materials science.The facility houses highly advanced thin film deposition and characterisation equipment, including Atomic Layer Deposition (ALD) and Physical Vapour Deposition (PVD) systems, supporting researchers working on cutting-edge scientific projects. You will work alongside academics, researchers and PhD students, helping develop fabrication processes, supporting experiments and enabling high-impact research.Unlike many traditional academic career paths, this position offers the opportunity to continue working with advanced deposition technologies and cutting-edge research equipment without the uncertainty of short-term postdoctoral contracts, grant applications and the pressure of securing the next academic position. The role provides long-term stability while allowing you to remain technically involved in research and process development.The successful candidate will take responsibility for the day-to-day operation of the cleanroom facility, supporting users, developing fabrication processes, maintaining advanced equipment and helping researchers achieve successful project outcomes. Whilst there is a management element to the role, this is primarily the management of a specialist facility rather than people management.This role would suit someone with a background in Atomic Layer Deposition, thin film deposition, nanofabrication, advanced materials, semiconductor research, photonics or related research environments. Candidates are likely to come from postdoctoral, research fellow or university research backgrounds and be looking for a career that retains the scientific and technical aspects they enjoy whilst offering improved long-term career prospects, flexibility and stability.The previous postholder came from a similar academic background and particularly valued the flexibility, autonomy and supportive environment the role offered. The organisation actively supports professional development, conference attendance and technical contributions to research outputs, creating an environment where technical specialists are recognised as key contributors to world-class research. The Role Manage the day-to-day operation of a specialist cleanroom and nanofabrication facility Support researchers, academics and PhD students using advanced fabrication equipment Develop and optimise thin film deposition and nanofabrication processes Operate and maintain Atomic Layer Deposition (ALD) and other thin film deposition systems Deliver user training and technical support Manage facility scheduling, consumables and service contracts Maintain health & safety documentation, SOPs and risk assessments Contribute to research projects and scientific outputs The Person Experience working with Atomic Layer Deposition (ALD) systems Background in thin film deposition, nanofabrication or advanced materials Experience working within a cleanroom environment Postdoctoral Researcher, Research Fellow, Nanofabrication Scientist, Cleanroom Scientist or similar background Knowledge of thin film processing, deposition and characterisation techniques Strong understanding of laboratory health & safety and scientific equipment *Looking for a long-term technical career within a world-class research environment Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

🌍 Long-Term Recruitment: Senior Scientist / Postdoctoral Researcher / Lecturer / Professor Position Overview We are recruiting outstanding PhDs in science and engineering to participate in collaborative projects with universities, research institutes, and enterprises in China. Candidates may work part-time online or full-time in China. Our partners include leading universities, research institutes, and listed companies, with strong advantages in international collaboration and innovation. We continue to introduce outstanding overseas PhDs and are committed to building a world-class research team. We are currently seeking highly experienced technical professionals with over 10 years of industry experience, including Senior Engineers, Technical Directors, and senior-level technical executives. Candidates should hold at least a Bachelor’s degree. Those with experience in Fortune Global 500 companies within the past 3 years will be given priority consideration. Research Directions We sincerely welcome applicants with interdisciplinary backgrounds. Research fields include, but are not limited to: 1. Core Research Fields (Strategic Domains) • Next-Generation Information Technology, • High-End Equipment & Intelligent Manufacturing, • Advanced Materials & Functional Materials, • Biomedicine & Biopharmaceuticals, • Energy & Sustainability (New Energy, Energy Efficiency, Environmental Protection), • New Energy Vehicles (NEVs) & Power Systems, • AgriTech & Bio-Breeding, • Digital Creativity & Future Computing Technologies, • Interdisciplinary Hard Technology 1. Urgent Hiring Areas (Chemistry, Materials & Related Sciences) • Chemical Engineering: Research on chemical processes, industrial chemistry, process optimization, reaction safety, and large-scale chemical production., • Polymer Science & Engineering: Design, synthesis, modification, and applications of advanced polymers, including high-performance structural and functional polymeric materials., • Advanced Functional & Sustainable Materials: Development of smart, eco-friendly, high-performance materials for energy, environment, medical, and industrial applications., • Catalysis & Reaction Engineering: Homogeneous/heterogeneous catalysis, photocatalysis, electrocatalysis, catalytic reactor design, and advanced reaction engineering., • Materials for Electronics & Biomedicine: Semiconductor materials, soft electronics, biomaterials, nanomaterials, multifunctional coatings, and advanced biomedical materials., • Energy Materials: Battery materials (Li/Na/Zn/Solid-state), hydrogen energy systems, fuel cells, photovoltaic materials, and energy storage systems. 1. Newly Added Urgent Hiring Fields • Optics & Photonics: Optical materials, photonic devices, laser technology, fiber optics, imaging systems, and optical instrumentation for scientific and industrial applications., • Astronomy & Space Science Materials: Instrumentation for telescopes, aerospace materials, detector technologies, optical coatings, space-environment-resistant materials, and simulation research related to astrophysical environments., • PI Thin-Film Technology (Polyimide Films): High-performance PI film synthesis, processing, coating technologies, flexible electronics applications, insulation films, and ultra-high-temperature polymer research., • Chemical Metallurgy & Extractive Engineering: Metal extraction, separation and purification, metallurgical chemical reactions, mineral processing, corrosion science, and advanced metallurgy for battery/semiconductor materials. 1. Additional Priority Talent Areas We are also urgently seeking experienced scientists and engineers (3+ years) with expertise in the following specialized domains: • OCA Optical Adhesives (Optically Clear Adhesives), • Silicon Photonics & Optoelectronic Coupling, • LED Epitaxy & Semiconductor Optoelectronics, • Water Treatment Membrane Technologies – especially Hollow Fiber Membranes, • TMR Magnetic Sensor Chips & Spintronics, • Polyurethane Materials & Foaming Technologies, • Engineering Plastics & High-Performance Modified Polymers, • Ceramic Dielectric Materials – including Ceramic Filters & RF Antenna Materials, • Power Semiconductor Devices – including GaN and SiC Materials 1. Emerging & Priority Fields • Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development, • Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing, • Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 1. Key Responsibilities • Conduct independent and/or collaborative scientific research, • Publish in high-quality peer-reviewed journals, • Apply for national/international research funding, • Supervise graduate students or junior researchers (if applicable), • Collaborate with domestic and international teams for research-to-industry translation 1. Candidate Requirements • PhD in Chemistry, Materials, Engineering, Physics, Optics, Data/AI, or related fields, • 3+ years of postdoctoral or professional research experience preferred, • Strong academic record (publications, patents, or projects), • Independent research capability and willingness to collaborate, • Open to all nationalities Compensation & Benefits Annual Salary: USD 100,000 – 350,000+ (based on qualifications) Research Startup Funding: Up to USD 400,000 Housing & Settlement Support: Up to USD 400,000 (talent apartments, rental subsidy, or purchase assistance) Additional Benefits: • Furnished talent housing or temporary accommodation, • Visa, residence permit, household registration support, • Healthcare, children’s education assistance, • Comprehensive onboarding and long-term service Career Development Pathways • Academic Track: Lecturer → Professor, • Research Track: Assistant Researcher → Senior Scientist, • Opportunities to establish independent research groups, • Support for international conferences and collaborations About Us We are a multinational academic and technology exchange company promoting global collaboration in research and innovation. Partnering with leading universities, institutes, and enterprises, we actively attract global PhDs to form internationally competitive research teams. Through our global platform, we foster cross-border knowledge exchange, technology transfer, and talent development, driving forward scientific advancement and innovation. Application 📩 Please send your application to: yuelin.guan@outlook.com yuelin.guan@suruntalent.com Application Email Title: “Application + Research Direction + Name” Required Materials: Resume (education background, research experience, publications, representative works)

Senior Data Scientist, London/Oxford hybrid working. Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities • Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications., • Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation., • Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques., • Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows., • Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability., • Write production-ready Python code and partner with engineering teams to deploy solutions at scale., • Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements • Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field., • Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments., • Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices., • Strong Python skills and solid machine learning fundamentals., • Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks., • Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact., • Familiarity with cloud platforms and modern software engineering practices., • Strong communication, collaboration, and mentoring skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Do you have the passion to join the fight against cancer and improve the lives of millions? Do you want to help ensure every patient can access the best possible diagnostic and treatment decisions? If so, join our team at Optellum and help us shape the cancer care of tomorrow! About us We are a fast-growth AI start-up seeking to solve one of the biggest problems in healthcare: early interception and treatment of lung disease, starting with the deadliest, lung cancer. Our vision is for every lung cancer patient to be treated at the earliest stage and cured. As a company, we promise our team members: • High impact and rewarding work., • Professional development opportunities: grow your knowledge of diagnostics and lung cancer, • Opportunities to connect with serial entrepreneurs, world-leading AI experts, as well as key opinion-leading clinical experts around the world, • Competitive salary and benefits, • Flexible working hours from the outset, including the opportunity for hybrid working Our initial product is the world’s first AI-powered clinical decision support software for early diagnosis of lung cancer, which enables every clinician, in every hospital, to manage their patients in the optimal way. About the role You will work within the multidisciplinary Clinical Evidence team, which is a mix of medical and technical personnel, on the following workstreams: Statistical analysis • Perform descriptive statistics for value dossiers, papers, presentations, proposals, and marketing materials, • Calculate performance (e.g., AUC, sensitivity, specificity) and clinical utility measures, • Handle study power and sample-size calculations within the context of study design and development, • Ability to use and re-fit models typically used in healthcare (logistic regression, decision trees, GLMMs, etc.), including implementing novel methods from publications., • Own the data analysis for ongoing research projects, • Write and maintain code for large dataset organisation and sampling, • Select datasets to answer particular scientific questions, requiring a detailed understanding of existing available datasets, parameters, and clinical requirements, • Liaise with the internal medical team to help support their workflows, and help bring their medical understanding to the rest of the company Clinical studies and trials • Assist in clinical trial design and execution as part of the work supporting Optellum’s range of current and future products, across multiple countries., • Manage partner sites in compiling and submitting documents for ethics clearance/IRB, data use agreements, and trial management documentation., • Run check-in meetings for scientific studies, and project-manage remote sites to meet our research objectives., • Create research protocols with partner sites to support data collection and research at their institutions., • Run technical quality checks on incoming data, and pre- and post-processing of datasets prepared for the machine learning teams., • Manage data platforms for HIPAA-compliant data collection and processing. About you We are looking for somebody who is excited to work in a healthcare setting and who has strong communication skills with both technical and clinical colleagues/collaborators. • Knowledge of medical statistics: you have a grasp of statistical techniques and terminology, and are familiar with sensitivity/specificity, ROC and AUC analysis, power calculations, etc., • Written and spoken communication skills: You are concise yet effective in tailoring a message to the audience in English., • Python programming: you are proficient in the use of Python to effectively import, clean, and format data., • Data modelling and understanding: you have a proven track record of analysing and publishing novel scientific results on large datasets in a real-world setting., • Excellent attention to detail: You pride yourself on your ability to spot crucial errors in data, yet you are able to prioritise progress over perfection., • Ownership mindset: you have a willingness to learn “on the job”, as well as handle tight deadlines and multiple simultaneous responsibilities to get things done., • Qualifications: you have a minimum of a postgraduate degree (MSc, MRes, etc.) in a field with a high quantitative component, e.g., Statistics, Informatics, Physics, or you can show that your background has a similar mathematical rigour., • Alternatively, you have a background in medicine, experience working in hospital environments, and a strong track record in technical publications., • Initial full-time availability, starting August 2026 or before, • Right to work in the UK, • Resident in the UK, • Able to perform hybrid working with at least 2 days per week onsite in Oxford The following would be considered a plus: • Experience with DICOM data, or experience with hospital imaging infrastructure (PACS and reporting systems), • Experience working with clinical studies, ethics approval, or protocol-writing, • Experience with project management and familiarity with Jira and similar tools. Optellum is an equal opportunity company.

Associate Scientist – Upstream Process Development Roles: Full-time, permanent Location: Harrow, London (5 days per week on site) Salary: Competitive + bonus + benefits Candidates must have the legal right to work in the UK - we cannot offer any form of sponsorship for this role The Role: As we develop our new ‘Biopharma’ business unit at Accord, we’re seeking a proactive and methodical Research Scientist / Research Associate to join our growing Upstream Process Development team. You will support our cell culture operations (revival, subculture, cryopreservation, cell culture media preparation), optimising mammalian cell culture parameters through our Ambr250 bioreactors and other advanced process development equipment. Working across the clone lifecycle in the bioreactors, you’ll perform inoculation till harvest including daily monitoring activities and associated data analysis in-line with all quality and safety requirements. To ensure the best results, you’ll undertake regular data analysis (such as cell density, viability parameters, metabolite analysis, etc.) from advanced process development equipment and troubleshoot technical activities. To support the smooth running of the department, you will complete COSHH, risk assessment and peer review lab documentation and maintain equipment-specific SOPs. Design of Experiments will be routinely performed for process development activities, producing data summary and progress reports, along with participating in safety inspections, stock checks and maintaining our ‘state of the art’ machines. In this exciting role, you’ll get the opportunity to learn and work collaboratively with the different workstream teams (in the UK and with our colleagues abroad from our established Biopharma unit at Intas Pharmaceuticals) and to grow with the team to support our ambitious growth plans. The Person: • Experience in a similar Research Scientist / Research Associate role within the biopharma / biotech / contract research labs sector, with good technical experience in automated bioreactors for mammalian cell culture (e.g. ambr250/small scale bioreactors)., • Conduct upstream process development activities including seed train expansion, production bioreactor operations (shake flask, spinner flask, Ambr250, benchtop bioreactors)., • Prepare and document media, feeds, buffers, and supplements accurately and in a timely manner., • Monitor batch performance by regularly recording parameters (VCD, viability, metabolites, pH, DO, etc.) and responding to deviations or unexpected trends., • Set up, operate, clean, and maintain cell culture equipment including incubators, bioreactors, and analytical tools., • Able to execute cell culture activities such as media/ feed preparations, Ambr/ Bioreactor maintenance, daily monitoring independently, • Proficient in mammalian cell culture techniques (e.g., CHO, HEK) in shake flasks, Ambr250, and small-scale bioreactors., • Experience in daily monitoring and primary recovery of bioreactors., • Good knowledge of GLP and understanding of GMP requirements., • Good understanding of therapeutic antibody / protein quality attributes., • Good IT and data analysis skills, including use of Microsoft Office (i.e. Excel, Word, PowerPoint) and biopharma analysis software (e.g. Biopat process insights, MFCS, DoE software etc.), • Excellent communication skills (written and spoken English), confident working with colleagues of all seniority levels and able to navigate cultural differences with ease., • Proactive and agile team player, but equally comfortable working on own initiative., • Strong organisation skills, able to manage conflicting tasks to meet deadlines and to solve problems on your feet, even in a busy and changeable work environment., • Degree / Masters / PhD level qualification in a Biological Science or technical scientific discipline. The Rewards: In return, we offer a competitive salary package (with bonus, holiday and pension scheme), and a range of other benefits to support our team. Not to mention the opportunity to be part of a new department within a progressive and expanding business with increasing global reach, and the support of ongoing training and development. How to Apply If you possess the experience, passion and ability to make this role a success then we would like to hear from you. Please complete your Candidate Profile on our careers site to apply for this role. For more information, you can contact us on: careers@accord-healthcare.com

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user value? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems. Working closely with cross-functional partners, you will help turn ambiguous challenges into measurable outcomes that improve how researchers discover and use knowledge. Responsibilities • Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding., • Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline., • Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI., • Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation., • Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value., • Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement., • Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems., • Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences. Requirements • Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area., • Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google’s Gemini, including fine-tuning LLMs and/or SLMs., • Strong Python skills and a habit of writing clean, maintainable, well-tested code., • A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement., • Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets., • Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib., • The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality., • Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Senior AI / ML Data Scientist - VP London | Front Office | Equities / Prime Services Currently partnering with a major global financial institution hiring a senior VP-level AI / Machine Learning Data Scientist into a highly visible front-office AI Lab environment. The team is focused on applying advanced ML, neural networks, and predictive modelling techniques to highly complex portfolio, equities, and client behaviour problems within a large-scale Prime business generating substantial annual revenues. The environment is: • highly technical, • delivery-focused, • commercially driven, • exceptionally fast paced Strong preference for candidates who have: • built and deployed ML models in production, • strong Python / PyTorch capability, • neural network experience, • advanced statistical / mathematical foundations, • experience solving complex prediction or optimisation problems, • ability to lead technically while remaining hands-on The role sits very close to the business and successful candidates will be expected to demonstrate measurable progress and impact quickly. Interesting opportunity for individuals coming from: • front-office banking, • systematic trading, • quant research, • applied AI/ML, • electronic trading, • hedge funds, • advanced predictive analytics environments Interview process includes technical deep-dives and presentation of prior projects / implementations. London based. Message me directly for a confidential discussion.

APPLIED ML SCIENTIST | REINFORCEMENT LEARNING Build Reinforcement Learning Systems For The Real World 📍 £80k – £110k 💰 London, Hybrid Why is this exciting? Because this sits at the convergence of several areas that are becoming increasingly important: • Reinforcement Learning, • Physical AI, • Digital Twins & Simulation, • Federated Learning, • Edge AI, • Critical Infrastructure, • Sustainability Most AI companies are building tools that generate content. This team is building AI that makes decisions in the real world. Backed by fresh funding and entering a major growth phase, they're developing a new generation of AI systems capable of learning, adapting and optimising complex physical environments. Their first challenge? Reducing the energy consumption of data centres through reinforcement learning and distributed AI. The problems are messy, ambiguous and genuinely difficult. You'll be working with real telemetry, real constraints and real-world systems where model performance has a direct impact on energy efficiency, sustainability and operational outcomes. This isn't about tweaking prompts or wrapping foundation models. It's about building intelligent systems that can learn how the physical world behaves and make better decisions because of it. They're looking for someone who combines strong machine learning fundamentals with the curiosity to understand how complex systems actually work. Someone who enjoys moving between research, experimentation and production, and gets excited by solving problems that don't already have a playbook. You'll have the opportunity to work across reinforcement learning, simulation, federated learning and next-generation AI systems, helping shape technology that extends far beyond a single use case. For the right person, this is a chance to join at a pivotal moment. The team is growing, the roadmap is ambitious, and the technical challenges are the kind that attract people who want to push the boundaries of what AI can actually do. Experience required: • Strong hands-on experience with Reinforcement Learning (RL), • Python and modern ML frameworks (PyTorch, JAX, TensorFlow), • Experience working with time-series or sensor data, • Ability to turn real-world problems into practical ML solutions, • Comfortable taking models from research into production, • Educated to degree level (or higher) in ML, Physics, Engineering, Mathematics or a related field Nice to Have • Control systems, optimisation or simulation experience, • Federated Learning, Edge AI or Distributed ML, • Digital twins, thermodynamics or physical systems knowledge, • Safe RL, Offline RL, GNNs or Multi-Agent Systems, • MSc/PhD or published research in a relevant field Ideal Profile Someone who enjoys solving hard, real-world problems at the intersection of AI, engineering and physical systems.

Senior Data Scientist (Biostatistics) London, UK (Hybrid – 2–3 days per week) Up to £80,000 + Benefits The Opportunity We are seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities. This role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. You'll work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments. Key Responsibilities • Partner with biostatisticians and cross-functional teams to enhance statistical modelling methodologies, • Design and develop scalable R-based modelling workflows and packages, • Implement best practices for testing, documentation, version control, and CI/CD, • Support the deployment of statistical models into production environments, • Ensure analytical solutions are reproducible, maintainable, and performant, • Provide technical guidance and mentoring on statistical and engineering best practices, • Translate complex statistical concepts into practical business and technical solutions Skills & Experience Essential • Strong statistical background, ideally within Biostatistics, • Advanced R programming skills, including package development, • Experience with Git and collaborative development workflows, • Knowledge of CI/CD pipelines, automated testing, and software engineering best practices, • Strong understanding of reproducible research and statistical modelling standards, • Excellent communication and stakeholder management skills Desirable • Experience designing and scaling R-based modelling platforms, • Exposure to deploying analytical models into production environments, • Experience with Databricks or similar cloud data platforms, • API development or integration experience Why Apply? This is an opportunity to work on high-impact projects within the life sciences sector, helping organisations bridge the gap between advanced statistical science and modern cloud-based engineering. You'll join a collaborative environment where technical excellence, innovation, and professional growth are highly valued.

Location: Wandsworth, London, UK (Hybrid Working) Type: Full Time, Permanent Contract Working Hours: Monday to Thursday, 9:30 am - 6:00 pm, Friday 9:30 am - 5:00 pm (1-hour lunch break) Company Overview FAC Technology is a deep-tech company based in London. Founded in 2011, it specialises in the research and development of advanced materials for the aerospace, space, automotive and defence sectors. The company’s materials have best in class properties including: ultra-high toughness, fire resistance, high thermal conductivity, and being derived from sustainable ingredients. Further, the company has developed best-in-class drone systems that are based on proprietary advanced composite airframes. In addition to the success in the drone market, the company has developed adhesives for the next generation of electric vehicles, and potting compounds for satellites and spacecraft. The company retains close links with Imperial College London and Queen Mary University for the research, development and advancement of composite materials. Role Summary As FAC Technology’s growth accelerates, it is seeking a skilled Composites & Resins Scientist to facilitate the technical development of advanced materials, including resins, adhesives and potting compounds. You will work across all the range of product offerings available at the company, as well as pursuing speculative development opportunities for prospective advanced materials technologies. This is a heavily practical scientific role, with comprehensive laboratory skills and experience being essential in order to perform the technical development as well as use and maintain the various pieces of processing and measurement equipment available on site. Key Responsibilities • Lead the technical scientific development of advanced composite materials, • Engineer bespoke resin formulations according to customer requirements, performing structured iterative scientific research cycles on prototypes, • Work with the engineering team to concurrently develop and enhance composites processing technologies, • Use and maintain scientific processing and measuring equipment, • Collate and organise test data results, • Maintain an awareness of emerging technologies in the field, • Identify at a high level potential further materials development opportunities, • Work with partner organisations and universities to facilitate research and development, • Identify and progress applications for research grants to facilitate development Background & Experience • At least 4 years’ experience working in an advanced laboratory environment, • Experience with scientific equipment for materials characterisation, including rheology, DSC, DMTA and mechanical testing, • A scientific or technical engineering background, • Comprehensive knowledge of composites and resins (mainly epoxy thermosets), • Masters or PhD in material science, engineering or other relevant technical field, • Proven track record in scientific research and development, • Experience of applying for and securing scientific research grants or related funding, • Exposure to one or more of the following industries: Automotive (including Electric Vehicles), Aerospace, Space, Defence What We Offer • A competitive and negotiable remuneration package, including a base salary of £50,000 - £55,000 dependant on experience, • A hybrid working option to support work-life balance, • The opportunity to lead the commercial growth of a highly innovative, IP-rich product portfolio How to Apply If you wish to be considered for the role of Composites & Resins Scientist, please send a CV and covering letter via LinkedIn or to jobs@factechnology.com.

R&D Scientist - Sustainable Coatings & Packaging Technologies Location: Lambeth, South West London (laboratory-based/in-person role) Hours: Full-time, Monday to Friday, 9:00am-6:00pm (42.5 hours per week) Salary: £33,000–£36,000 gross per year depending on experience, with strong progression opportunities based on performance and contribution. About Metalchemy Metalchemy is an award-winning UK deep-tech company developing and commercialising patented sustainable coating and advanced materials technologies for food packaging and other high-impact applications. Our mission is to create measurable environmental impact through the successful commercialisation of science. We develop antimicrobial and functional materials that help reduce food waste, improve product performance, and enable more sustainable packaging and supply chains. As a high-growth, commercially driven business, we operate at the intersection of materials science, product innovation, manufacturing, and customer deployment. Our technologies are protected by intellectual property, supported through grant-funded innovation programmes, and developed in collaboration with customers, manufacturers, universities, and industry partners. We are building a modern R&D environment that combines scientific expertise with Design of Experiments (DoE), AI-enabled workflows, and data-driven decision-making to accelerate innovation, improve efficiency, and scale impact. At Metalchemy, we believe the greatest environmental impact comes not from research alone, but from successfully translating scientific innovation into products that create real value for customers and society. The Role We are seeking an ambitious and commercially minded PhD-level scientist with expertise in coatings, polymers, formulations, biomaterials, packaging materials, or related technologies to help develop the next generation of sustainable coating systems and functional materials. The primary focus of the role will be the development of technologies for food packaging and food-contact applications, with opportunities to contribute to healthcare and other industrial sectors as Metalchemy's technology platform expands. You will work across a broad range of materials and substrates including paper, fibre-based packaging, cellulose materials, biopolymers, compostable materials, synthetic polymers, composites, and coated materials. Working closely with senior scientists, customers, manufacturers, academic collaborators, and industry partners, you will play a key role in delivering customer projects, grant-funded innovation programmes, publications, patents, and commercially deployable technologies. This is a high-impact role offering significant responsibility, rapid professional development, and clear progression opportunities. Within your first year, you will be expected to contribute independently to research programmes, support multiple concurrent client and innovation projects, and become a trusted technical contributor across scientific, customer-facing, and collaborative activities. The successful candidate will have the opportunity to progressively take ownership of technology platforms, strategic customer projects, grant-funded programmes, and external partnerships while helping shape the future direction of Metalchemy's innovation pipeline. This role is designed for ambitious early-career scientists who want to grow rapidly within a high-growth technology company. Successful candidates will have the opportunity to take increasing ownership of technology platforms, customer projects, publications, patents, and funded innovation programmes, with progression based on performance, contribution, and business growth. Responsibilities • Lead and deliver R&D programmes focused on sustainable coatings, food & packaging technologies, antimicrobial materials, and advanced material systems, generating high-quality scientific outputs that support customer projects, grant-funded innovation programmes, publications, intellectual property, and commercial deployment., • Develop, optimise, and validate coatings, bio-coatings, formulations, composites, colloidal systems, and functional materials across a range of substrates including paper, fibre-based packaging, biopolymers, compostable materials, and synthetic polymers, ensuring scientific rigour and technical excellence throughout the development process., • Manage and contribute to multiple concurrent customer, grant-funded, and internal innovation projects, delivering technical milestones, project objectives, reports, and experimental outputs to a high standard and within agreed timelines., • Support customer projects through technical leadership, product validation, application development, trial design, data interpretation, and the preparation of technical deliverables that enable successful project outcomes and long-term customer relationships., • Contribute to the preparation, delivery, and reporting of grant-funded programmes, collaborative R&D projects, and innovation funding applications, helping secure and successfully execute externally funded innovation activities., • Prepare and deliver technical reports, customer presentations, scientific publications, conference papers, white papers, case studies, and dissemination materials, effectively communicating technical outcomes to scientific, industrial, and commercial audiences., • Build strong relationships with customers, academic collaborators, manufacturers, research organisations, and industry partners while contributing to technology commercialisation, strategic partnerships, intellectual property generation, and the continued growth of Metalchemy. Requirements Essential • PhD in Polymer Science, Materials Science, Food Packaging, Food Science, Chemistry, Chemical Engineering, Biomaterials, Coatings Science, or a related discipline, • Strong experimental research experience gained through doctoral studies, • Experience in at least one of the following areas:, • Coatings and formulations, • Polymer science and engineering, • Packaging materials, • Functional surfaces, • Biomaterials, • Active or antimicrobial packaging, • Colloidal systems and dispersions, • Excellent scientific writing, reporting, and presentation skills, • Strong data analysis and problem-solving abilities, • Ability to manage multiple projects and priorities simultaneously, • Excellent communication and stakeholder engagement skills, • Interest in translating scientific innovation into commercially successful products Highly Desirable • Research focused on active packaging, food-contact materials, barrier coatings, antimicrobial technologies, bio-coatings, cellulose-based materials, or sustainable packaging, • Experience developing coatings, formulations, composites, functional materials, or advanced material systems, • Experience with silver-based materials, antimicrobial additives, nanomaterials, colloids, dispersions, or surface-engineered materials, • Experience working with paper-based packaging, fibre-based materials, biopolymers, compostable materials, synthetic polymers, or composite substrates, • Knowledge of food-contact regulations, packaging compliance, and food safety requirements, • Experience with industrial collaborations, grant-funded research, publications, patents, or technology commercialisation, • Experience using Design of Experiments (DoE), statistical analysis, machine learning tools, or AI-enabled R&D workflows What Success Looks Like Within your 6-months, you will: • Contribute to the successful delivery of 3-5 concurrent innovation projects across coatings, packaging, and advanced materials, • Develop increasing ownership of specific research programmes, technology platforms, or customer projects, • Deliver high-quality technical reports, presentations, publications, and experimental outputs that support decision-making and product development, • Generate robust scientific data that contributes to customer validation, commercial deployment, intellectual property generation, and business growth, • Contribute to grant applications, funded innovation programmes, patents, scientific publications, and customer-facing case studies, • Present technical findings confidently to customers, industry partners, funding bodies, collaborators, and internal stakeholders, • Build strong relationships with customers, academic collaborators, manufacturers, and industry partners, • Become a trusted technical contributor across both scientific and commercial activities, • Demonstrate the ability to translate research into practical, commercially relevant solutions that create measurable impact Why Join Metalchemy? • Join an award-winning deep-tech company developing patented technologies with measurable environmental and commercial impact, • Work directly with founders, senior scientists, customers, manufacturers, universities, and strategic partners, • Gain exposure to the full innovation lifecycle, from laboratory research and product development through to customer deployment and commercial scale-up, • Contribute to patents, publications, grant-funded programmes, customer projects, and new product launches, • Work across diverse technologies, materials, and applications including food packaging, coatings, biomaterials, healthcare, and sustainability-focused innovation, • Develop expertise in modern R&D approaches including Design of Experiments (DoE), AI-enabled workflows, data-driven experimentation, and technology commercialisation, • Take on significant responsibility and ownership from an early stage in your career, • Benefit from strong opportunities for progression into senior technical, innovation, and project leadership roles based on performance and contribution, • Be part of a high-growth, commercially driven company where scientific innovation is translated into real-world products and measurable environmental impact, • 30 days annual leave including bank holidays

Laboratory Validation Officer / Analytical Scientist\n\nAs part of a significant operational expansion we are delighted to be exclusively partnering with a market leading global brand and supporting the hire of a new Laboratory Validation Officer.\n\nThe successful hire will focus predominantly on method validation activities from bench to HPLC. There may be the need for some degree of method development.\n\nWorking in a small team this role must have independent and “can do” focus.\n\nThe opportunities in the business for development and progression are strong and they welcome a proactive and ambitious attitude.\n\nFor further details please contact Mark Bux-Ryan\n\nKey experience\n\n- Previous experience in method validation of HPLC\n\n- Pharmaceutical (or healthcare/nutraceutical) GMP experience\n\n- Any method development experience is advantageous\n\n- Problem solving mindset with ability to work independently\n\nlaboratory, validation, method, HPLC, development, transfer, chromatography, liquid, pharmaceutical, research, analytical, scientist

As a Senior AI Research Scientist, you will join one of Aqemia’s Drug Discovery Platform AI Teams, composed of 5 AI Researchers, and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems and predict molecular properties. Demonstrated hands-on experience implementing an

We are looking for a Backend Engineer to join our distributed team across Europe of hardworking engineers that are passionate about connecting new and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientist

We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT, Anthropic and others). Research, design, and develop AI models using or training existing or bespoke LLM models (and other AI tech

R&D applying AI and algorithms to real-world signals/comms, sensor fusion This senior position has a three-year term with a leading research institution and has strong Data Science elements. As a PhD-qualified scientist with further research or commercial experience, you will bring your prior experience in signal processing to bear. You'll be helping to establish and further the state of the art, with a view to paving the way for future technology adoption and new applications. This work does involve collaboration with defence and national security stakeholders. Sole British nationality is required, as is the ability to gain security clearance (with institutional support). The work will focus on radio frequency communications (RF, EME) and the application of state-of-the-art AI techniques. You do not need RF or AI experience (though these are advantageous). You will have the aptitude and interest, and prior experience developing techniques and algorithms for working with analogue signals. Specifically, you will have: A PhD in physics, maths, engineering or a similar field Additional experience in research or commercial R&D (including a leading/mentoring role in some capacity, either for a small team, research project, or supervising PhDs, etc.) * Expertise in data science, analogue signal processing techniques, and algorithm development (whether with RF, radar, wireless comms, audio, SDR or medical devices, etc.), ...

R&D applying AI and algorithms to real-world signals/comms, sensor fusionLondon, hybrid working; to £58k plus benefits This senior position has a three-year term with a leading research institution and has strong Data Science elements. As a PhD-qualified scientist with further research or commercial experience, you will bring your prior experience in signal processing to bear. You'll be helping to establish and further the state of the art, with a view to paving the way for future technology adoption and new applications. This work does involve collaboration with defence and national security stakeholders. Sole British nationality is required, as is the ability to gain security clearance (with institutional support). The work will focus on radio frequency communications (RF, EME) and the application of state-of-the-art AI techniques. You do not need RF or AI experience (though these are advantageous). You will have the aptitude and interest, and prior experience developing techniques and algorithms for working with analogue signals. Specifically, you will have: • A PhD in physics, maths, engineering or a similar field, • Additional experience in research or commercial R&D (including a leading/mentoring role in some capacity, either for a small team, research project, or supervising PhDs, etc.), • Expertise in data science, analogue...

A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Senior Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads that build data-driven decision-support software. This area plays a critical role in improving operational performance by embedding advanced analytics, machine learning and optimisation into day-to-day operational decision-making across the airline. What you'll do: Develop and embed industrialised decision-support software using machine learning and optimisation techniques Act as the technical owner of one or more modules within a production-grade data science product Understand operational business problems end-to-end and identify opportunities to optimise decisions using decision-support tooling Conduct analysis and visualisation to identify valuable opportunities and assess trade-offs between design and feature options Drive modelling and technical approach decisions, balancing implementation speed, runtime performance, technical debt and business value Rapidly prototype advanced machine learning and optimisation models in Python Deliver production-grade machine learning and optimisation modules using software engineering best practice Build robust data ingestion, cleaning and processing pipelines Contribute to software orchestration and cloud-based CI/CD deployment Drive system design decisions alongside software architects Ensure robustness through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify adoption and value capture of decision-support products Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of products into operational business processes Communicate modelling approaches, trade-offs and results clearly to stakeholders Mentor junior team members Contribute to agile ways of working including Git version control, code reviews and delivery predictability What you'll bring to British Airways: Experience solving real-world problems using applied machine learning, optimisation and operational research techniques Strong Python capability and experience with data science and optimisation libraries Experience delivering production-quality data science software Familiarity with cloud platforms, CI/CD pipelines and modern orchestration tooling Strong software engineering discipline including testing, logging and version control Ability to structure complex business and technical problems and propose pragmatic solutions Confidence communicating advanced technical concepts to both technical and non-technical audiences Systems-thinking mindset with attention to detail Curious, proactive and resilient approach Collaborative working style with a strong focus on continuous improvement Commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required) 2+ years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

Another top job from ECM, the high-tech recruitment experts. To discuss your requirements call ecm or email your CV.

The Senior Research Scientist role comes with a competitive salary, excellent benefits package including dental insurance, travel insurance and enhanced holiday allowance, flexible working arrangements, and the opportunity to lead pioneering research programmes that influence future technologies and

We are looking for Research Scientist Interns to join the Meta AI Speech team in London. As a Research Scientist Intern, you will help us develop innovative models and algorithms and apply them to large-scale production speech tasks. Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks l

The opportunity The Data Scientist will be responsible for structuring the research question, determining the best analytical approach, conducting analyses, identifying business‑relevant insights, and creating a compelling story to be communicated to key stakeholders and talent executive leadershi

A leading information services provider in Greater London is seeking a Research Scientist to innovate in AI and LLM approaches. You will work on research & model development, collaborate with experts, and publish findings in high-impact arenas.

A project-based AI opportunity platform is seeking quantum researchers experienced in Python for part-time contributions on unique computational physics projects.

Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by r

In the Unity Ads Applied Research team, we envision and build systems that help creators capture the value they build! Come join Unity our Ads Applied Research team to help drive the overall Ads strategy for Unity's products and services. The opportunity At Unity, our Inclusion is driven by one over

Dunnhumby Ventures is seeking a Senior Research Data Scientist to join the AI Strategy, Research & Enablement team. The ideal candidate will possess expertise in modern deep learning frameworks and transformer architectures, turning innovative research into scalable solutions.

About The Role We are excited to welcome a biosensor scientist with a strong background in electrochemical biosensor R&D and experience in working with aptamers to join our rapidly growing start‑up. Apply data‑driven approaches including Python‑based analysis and Design of Experiments (DoE) to

Responsibilities Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems Research, prototype, and ship ML and optimisation models into production Continuously improve existing algorithms and identify opportunities for new ones Requirements Mas

Role Description We're looking for Research Scientists and Research Engineers for the Model Transparency team with expertise in technical AI safety – such as interpretability, capability or alignment evaluations, model transparency – or with broader experience with frontier LLM research and deve

A leading AI-driven drug discovery company is seeking a Research Scientist to focus on Large Language Models that enhance drug discovery.

OpenFOAM, ANSYS, COMSOL, Abaqus) Run training of AI models on physics data, with rigorous evaluation of coverage, accuracy, and quality against industry validation standards Build tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation * Develop

About the role We’re seeking an experienced Research Scientist to pursue bold and high-risk research endeavors supporting our mission of industrializing scientific discovery to radically improve lives. In this role, you will: * Join one of Valence Labs' Research Units, driving ambitious frontier r

We are seeking a Senior Research Scientist to join our Artist-First AI Music lab. Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges. What Youll

H Company in London is offering PhD internship opportunities in AI research and product development.

Huawei Technologies Research & Development (UK) Ltd is seeking a skilled Machine Learning Scientist for its London Research Centre. This opportunity involves original research, algorithm design, and collaboration with a multidisciplinary team, contributing to impactful AI advancements in a fast-pace

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An innovative research firm in London is seeking a Member of Technical Staff, Research Scientist to pursue groundbreaking research in generative interactive video. The ideal candidate is a mid-senior level researcher with expertise in machine learning and a passion for pioneering new technologies.

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Braunford LLP, located in Greater London, seeks a Data Scientist to analyse and integrate complex financial datasets into our research platform. This role involves collaboration with Quantitative Researchers and Engineers.

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Job Title AI Research Scientist Salary £120k-£200k + Equity Company Description Paddington Robotics Limited - VC-backed applied AI robotics lab Job Description Join an elite team led by a Magic Pony co‑founder to build physical AI for the chaotic real world. Eschew traditional lab‑only researc

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The Role: As an Optical Research Scientist at CoMind, you will join a highly talented and interdisciplinary team working at the interface of optics, engineering, neuroscience and clinical neuromonitoring. Summarizing findings, compiling reports, and presenting results to the wider research, product,

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