30 jobs found

Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

We re Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class credentials and a proactive attitude to help us drive the change the underpins our mission. As a Senior Software Engineer 2 you will be a core contributor to delivering our products and solutions, with the opportunity to lead projects end-to-end. You'll set the bar for engineering excellence, mentor those around you, and step into line management as the team grows. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. Responsibilities Key contributor to the development, testing and maintenance of Lab projects, products and initiatives. Deliver robust, maintainable and operationally viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring and other methods to support other engineers and champion best practices. Troubleshoot technical, data and integration issues arising during development and deployment. Drive the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab. Communicate technical trade-offs, risks and progress clearly to both technical and non-technical stakeholders. Take on a Technical Lead role when necessary, leading a team of engineers to deliver excellent results within agreed timescales. Take on Line Manager duties when necessary, with regular syncs to provide advice, mentoring, pastoral care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python, Typescript, Relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, Version control, containerisation and cloud deployment. Knowledgeable on engineering best practices and comfortable with producing clean, maintainable, well-tested code. Comfortable with code review and giving clear, actionable, constructive feedback to others. Highly effective when working in a remote-first, iterative agile environment. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Strong communication skills, including the ability to explain technical issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, we continue to build innovative digital services that truly make a difference. Overview: We are seeking a seasoned Data Lead to define and deliver a comprehensive data strategy for large-scale, citizen-facing services used by millions. This role involves assessing current data capabilities, defining a future vision, and architecting a roadmap to achieve it-while building and leading the team required to deliver. Key Responsibilities: Data Strategy & Governance Lead the end-to-end data strategy across services Assess current ( as-is ) and future ( to-be ) states of data platforms and pipelines Develop a short- to medium-term strategic roadmap aligned with broader organisational and government data strategies Define and implement policies, standards, and governance frameworks for secure and scalable data services Technical Leadership & Architecture Select and evolve data engineering tools, frameworks, and methodologies Ensure alignment with enterprise architecture and technical strategies Lead delivery of complex data engineering initiatives across multiple systems Design solutions balancing functional and non-functional requirements Team Design & Delivery Define optimal team structure, including roles, skills, and capacity Build and lead multidisciplinary data teams (engineers, analysts, data scientists) Mentor and guide team members to ensure high-quality delivery Oversee implementation of data platforms, pipelines, and analytical models Standards, Compliance & Quality Ensure adherence to data governance, security, and compliance standards Embed data quality, lineage, and protection practices across systems Contribute to enterprise-wide data policies and regulatory compliance Required Experience & Skills: 10+ years of experience in data engineering, data science, or analytics Proven experience defining and executing data strategies in complex organisations Strong expertise in cloud-based data platforms (AWS preferred) Experience with modern ETL/ELT tools and data pipeline frameworks Solid understanding of data modelling, warehousing, and transformation best practices Experience across the data science/ML life cycle from prototype to production Experience working in public sector or regulated environments, with knowledge of GDPR and related standards Strong communication and stakeholder management skills, including engaging senior stakeholders Proven leadership, mentoring, and team-building capabilities Tech Stack: Google Analytics Google BigQuery Looker Studio Google Tag Manager Desirable Experience: Experience in public sector or citizen services (eg, benefits systems) Exposure to government frameworks or large-scale transformation programmes Security clearance (BPSS, SC, or DV) or willingness to obtain Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.

Job title: Data Analyst Start Date: ASAP Contract: six months (possibility of extension) Location: Paddington (Hybrid) Sector: Retail Summary Producing an analysis is only part of the job; understanding whether it can be trusted, explained and used to support a decision is just as important. Our Advanced Analytics team helps make better decisions by combining commercial insight, decision science and analytical engineering. We work across product squads and the wider business on trusted, high-impact analytical solutions. As a Data Analyst, you'll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results. You'll work with business and product teams to investigate complex commercial questions and generate robust evidence. This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You don't need extensive commercial experience, but you should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment. What you'll do Your key accountabilities will include Contribute to analytical work on high-value opportunities, collaborating with experienced analysts, data scientists, product teams and business stakeholders to support better decisions. Help translate complex or ambiguous business questions into clear analytical objectives, success measures and structured analysis plans. Prepare, explore and analyse data to understand performance, identify meaningful patterns and drivers, and uncover opportunities to create measurable business value. Support the design and application of appropriate approaches, including statistical modelling, experimentation and quasi-experimental methods, to test hypotheses, evaluate initiatives and quantify their impact. Validate analytical outputs and communicate findings, uncertainty and limitations clearly, helping stakeholders understand what the evidence does and does not support. Who you are Your skills and experience will include Strong mathematical and statistical knowledge, including familiarity with probability, statistical inference, regression, experimental design and the interpretation of results. Exposure to advanced analytical and/or machine learning methods through study, research or practical experience, with an interest in understanding when different approaches are appropriate and what their limitations are. Strong analytical problem-solving skills, with the curiosity and structured thinking needed to investigate unfamiliar or ambiguous questions using imperfect real-world data. A clear communicator who can explain analytical approaches and findings to others, with the potential to develop this skill further when working with non-technical audiences. Experience using at least one data-focused programming or analytical language, such as Python, R, SQL, PySpark or similar. Role is placed within the Advanced Analytics function, supporting the strategic Insights Engine programme. The project aims to move retail colleagues away from consuming large volumes of reports and towards AI-enabled, prescriptive, exception-based insights that highlight where intervention is required and measure the business impact of those actions. The key hiring requirement is an analyst with strong experimentation, evaluation and statistical analysis skills, particularly around measuring intervention effectiveness through A/B testing, quasi-experimental methods, and stakeholder-facing insight delivery. Key Responsibilities Analytical discovery and opportunity identification. Value case assessment. Data preparation and ETL support. Feature engineering collaboration with Data Scientists. Testing and evaluation of interventions. Experiment execution and results analysis. Presenting outcomes to senior stakeholders. Influencing business decisions through analytics. Must-Have Skills Technical Statistical modelling. A/B testing experience. Experimental design understanding. Difference-in-differences or similar quasi-experimental techniques. Data analysis and interpretation. Ability to execute analytics frameworks designed by senior analysts. Business Stakeholder communication. Translating analysis into actionable business recommendations. Working within cross-functional teams Nice-to-Have Skills Exposure to Data Science environments. Retail analytics experience. Experience working alongside Product Managers, Data Scientists and Data Engineers. Broad analytical toolkit across multiple techniques. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Director of Financial Crime Redefine how financial crime is prevented - through data, automation, and AI. A high-growth digital banking platform undergoing a multi-million-pound technology transformation is seeking a Director of Financial Crime & Innovation. This is a unique opportunity to build and lead a next-generation, tech-enabled financial crime framework at the forefront of FinTech innovation. You ll work closely with the senior leadership team, and cross-functional teams-including AI, engineering, and product-to embed scalable controls that strengthen trust, meet regulatory standards, and enhance customer experience. What You ll Do: Lead the 1st Line Financial Crime function with a vision for smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance across all lines of defence. Champion continuous improvement across KYC, transaction monitoring, fraud, and investigations. What You Bring: Strong leadership experience in financial crime within regulated environments digital banking, payments, lending, insurance, or gaming. Deep subject matter expertise in AML, CTF, sanctions, and fraud. High technical fluency; confident working with engineers, data scientists, and product owners. Experience delivering transformation or operating model change in risk or compliance. Gravitas to influence at senior levels and collaborate cross-functionally. What s On Offer: Hybrid working Generous holiday allowance, birthday leave, and well-being days Access to cutting-edge tools and a passionate, mission-driven team If you're ready to shape the future of financial crime prevention driving innovation while protecting customers at scale apply now to take the next step in your leadership journey. Director of Financial Crime

Senior Data Scientist (leadership role) - Customer Data - 100K + 50% bonus + 6,500 car allowance - Southampton Senior Data Scientist, Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will be able to challenge approaches, raise standards, coach technical talent and influence senior stakeholders across Customer, Digital, CRM, Loyalty, Retail Media, Finance, and Technology. This role will require you to be in Southampton 2-3 days a month Key Responsibilities: Lead, coach and develop a high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business and technology stakeholders to translate commercial challenges into data-driven solutions. Drive best practice in data science, model governance and technical delivery. Deliver measurable business value through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics

Principal Data Scientist (Fine-tuning & model optimisation) - AI Models Lead Hybrid: Remote Paying up to £130,000 + Benefits Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. Looking for someone who has moved beyond prompt engineering and RAG into genuine model adaptation, evaluation, optimisation and fine-tuning. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, such as SFT, LoRA/QLoRA, and optimisation approaches Selecting and evaluating base models (eg Mistral, Qwen, PHI, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning/LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI/LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (eg HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Principal Data Scientist (Fine-tuning & model optimisation) - AI Models Lead Hybrid: Remote Paying up to 130,000 + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. Looking for someone who has moved beyond prompt engineering and RAG into genuine model adaptation, evaluation, optimisation and fine-tuning. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, such as SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Our client is seeking an experienced Senior Membrane Application Scientist with strong membrane chemistry expertise, analytical capability, and hands-on pilot-scale testing experience. This role focuses on evaluating and developing an advanced membrane technology platform, helping the business understand performance boundaries, technical advantages, and potential applications across customer and industrial process streams. The successful candidate will be a strong chemist with a practical approach to membrane testing, fluid handling systems, and small to medium-sized pilot plants. They will be comfortable designing experiments, interpreting complex datasets, troubleshooting process challenges, and translating findings into clear technical recommendations. Working closely with Innovation, Engineering, Commercial, and customer teams, the successful candidate will support laboratory trials, pilot testing, customer demonstrations, commissioning activities, and technical reporting. The role will involve international travel to support customer trials and represent the business at customer sites globally. Key Roles & Responsibilities Membrane Chemistry & Analytical Testing Design and execute laboratory and pilot-scale test programmes to assess membrane performance across a range of feed streams and operating conditions. Apply strong chemical understanding to investigate membrane selectivity, fouling, cleaning behaviour, stability, and operating limits. Develop and utilise appropriate analytical methods to understand feed chemistry, permeate quality, concentration effects, and overall process performance. Product Testing & Application Development Support the development and validation of the company's advanced membrane technology platform through structured testing and application studies. Help define the capabilities, benefits, and potential applications of the technology across water treatment, industrial separations, resource recovery, and related markets. Pilot Trials & Customer Support Support laboratory, pilot, and field trials at company and customer sites, including international locations. Assist with the setup, operation, troubleshooting, and commissioning of small to medium-sized membrane pilot systems. Project Management & Technical Communication Independently manage assigned projects, test programmes, and customer trial activities with clear priorities, milestones, and timescales. Coordinate activities across internal teams and external partners to ensure projects are delivered safely and effectively. Documentation & Compliance Maintain detailed records of experimental methods, raw data, analysis, conclusions, and project decisions. Ensure all testing and pilot activities are completed in line with company health and safety requirements and relevant site procedures. Candidate Requirements The successful candidate will possess the following skills, behaviours, and experience: BSc, MSc, or PhD in Chemistry, Chemical Engineering, Materials Science, Membrane Science, or a related scientific discipline. Strong chemistry background with excellent analytical and practical problem-solving skills. Experience with membrane separation technologies, water treatment, industrial process chemistry, or related separation processes. Hands-on experience designing, running, and interpreting laboratory or pilot-scale experiments. Practical experience working with process equipment, pilot plants, pumps, pipework, instrumentation, and sampling systems. Ability to analyse complex technical data and translate findings into clear conclusions and recommendations. Strong technical report writing, documentation, and presentation skills. Confident communicating technical information to customers, partners, and internal stakeholders. Ability to manage multiple projects independently in a fast-paced R&D and customer-facing environment. Good understanding of health and safety requirements within laboratory, pilot, and customer-site settings. Willingness to travel internationally to support customer trials, pilot installations, and commissioning activities. Collaborative, flexible, and practical mindset, with the ability to work effectively across Innovation, Engineering, Commercial, and customer-facing teams.

Senior AI Engineer Location: Remote (UK) or Hybrid - London (2 days per week in the office if London-based) Salary: 65,000 - 80,000 + Excellent Benefits Job Type: Permanent Please note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position. The Opportunity We're looking for a Senior AI Engineer to join a growing AI and Data Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available . For those based near London, there is the option to work hybrid (2 days per week in the office) . You'll work alongside Data Scientists, Software Engineers and Product teams, taking ownership of complex AI services, data pipelines and cloud-native architectures that power intelligent products used at scale. The Role As a Senior AI Engineer, you'll play a key role in designing, architecting and delivering AI infrastructure with a high degree of autonomy. You'll help bridge the gap between research and production by developing scalable services, engineering robust data pipelines and implementing best practices across modern AI engineering. You'll also provide technical leadership within your squad, mentoring engineers and influencing engineering standards across the wider technology organisation. Key Responsibilities Design, build and maintain scalable AI data pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. Champion engineering best practices including CI/CD, automated testing and Infrastructure as Code. Improve integration, interoperability and data exchange across enterprise platforms. Translate complex technical requirements into scalable engineering solutions. Mentor junior engineers and provide technical leadership across projects. Contribute to architecture decisions, engineering standards and long-term technology strategy. About You You'll be an experienced Software, Data or AI Engineer with a passion for building scalable AI solutions and solving complex engineering challenges. You'll ideally have: A degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline. 5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. Experience productionising Machine Learning, NLP or Generative AI models. Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI , Flask or Django . Strong SQL skills with experience designing performant relational database solutions. Commercial experience with AWS and/or Azure cloud platforms. Experience designing distributed systems and scalable architectures. Experience with Docker , Kubernetes and containerised deployments. Strong understanding of CI/CD pipelines, automated testing and engineering best practices. Excellent communication skills with experience mentoring engineers and collaborating across cross-functional teams. Desirable Experience Experience with any of the following would be highly advantageous: Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation (RAG) Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs AI / Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry What's on Offer 65,000 - 75,000 salary Remote-first role with flexibility to work anywhere in the UK Optional hybrid working from the London office (2 days per week) Annual bonus Private healthcare Pension scheme 25+ days annual leave plus bank holidays Learning and development budget Career progression within a growing AI Engineering function Opportunity to work on enterprise-scale AI, Machine Learning and Generative AI initiatives using the latest technologies Collaborative engineering culture focused on innovation, knowledge sharing and continuous improvement Eligibility Applicants must have the right to work in the UK . Unfortunately, visa sponsorship is not available , so we are unable to consider candidates requiring current or future sponsorship. If you're passionate about building production-grade AI platforms and want to work on cutting-edge AI solutions with the flexibility of remote working, we'd love to hear from you.

AI Engineer - Data & Reporting Location: London (Hybrid 2/3 days per week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics and business decision-making. This is an exciting opportunity to work on enterprise-scale AI projects, leveraging the latest Generative AI technologies including LLMs, Agentic AI and Retrieval-Augmented Generation (RAG), while collaborating with data scientists, engineers and senior business stakeholders. The Role As an AI Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full AI lifecycle including data exploration, model development, deployment, monitoring and continuous improvement. What You'll Be Doing Designing and developing enterprise AI and Machine Learning solutions Building Agentic AI frameworks and Retrieval-Augmented Generation (RAG) applications Developing intelligent reporting, recommendation and forecasting solutions Working with Large Language Models (LLMs) and foundation models Deploying production-ready machine learning models into cloud environments Building APIs and microservices to integrate AI capabilities into enterprise platforms Collaborating closely with business stakeholders to translate requirements into scalable AI solutions Driving best practice across AI governance, model monitoring and MLOps Evaluating emerging AI technologies and identifying opportunities for innovation Skills & Experience We're looking for candidates with experience across several of the following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders

Senior Product Data Scientist Contract Length: 12 Months Location: Hybrid - 3 days a week at Heathrow Airport IR35 Status: Inside About the Role We are looking for a Senior Product Data Scientist to help drive product innovation through data, experimentation and advanced analytics. You will work closely with Product Managers, Engineers and business stakeholders to identify opportunities, generate insights and build scalable data science solutions that improve customer and business outcomes. The successful candidate will combine strong analytical thinking with practical implementation skills and a passion for solving complex product and optimisation challenges. What You'll Do Partner with Product and Engineering teams to define success metrics and evaluate product performance. Conduct exploratory analysis to identify opportunities for growth and customer impact. Design and analyse experiments including A/B tests and observational studies. Build predictive models and analytical tools that support product decision-making. Develop decision science and optimisation solutions where appropriate. Create dashboards, reporting frameworks and self-service analytics capabilities. Present findings and recommendations to both technical and non-technical audiences. Collaborate with stakeholders to translate business problems into analytical solutions. Contribute to data science best practices and mentor junior team members. Preferred Experience 4+ years of experience in Data Science, Product Analytics, Decision Science, Applied Science or related fields. Experience using data to influence product or business decisions. Strong understanding of statistics, experimentation and machine learning. Experience delivering end-to-end analytical projects. Experience working in cross-functional product teams. Demonstrated ability to communicate complex findings clearly. Technical Skills Python and SQL Statistical analysis and experimentation Machine Learning Data Visualisation and Dashboarding Cloud-based analytics environments Data modelling and feature engineering Nice to Have Experience with optimisation, operations research or decision science. Experience with pricing, scheduling, forecasting or resource allocation problems. Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation tools. Experience in airlines, transportation, logistics, retail, marketplace or technology companies. MSc or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

No agencies please Summary At Zetica, Geophysicists play a key role in ensuring technical excellence throughout all phases of near-surface geophysical projects. This includes fieldwork, in-depth data interpretation, and the preparation of clear, accurate reports. Your experience will grow quickly across this breadth of applications, utilising established and developing techniques and technologies for our wide-ranging client base. You will have access to an enviable inventory of equipment. You will work closely with a team of geophysicists, reporting to the Geophysical Services Manager and the Operations Director. Collaboration with senior geophysicists and administrative staff will be an integral part of your role. Responsibilities You will play a vital role in all stages of geophysical project progression, from initial planning to data collection, reporting, and quality assurance. You will have a relevant geoscience degree, a thorough understanding of physics, and experience with Autocad and Geosoft Oasis Montaj. You will be involved in projects across all of Zetica's departments, including surveys for transport infrastructure and for engineering, geotechnical, geological and environmental purposes as well as unexploded ordnance (UXO) and utility service detection surveys. Your responsibilities will include: Project preparation: Prepare projects based on customer requirements, assessing and agreeing on effective techniques prior to site work, with a focus on quality, customer service, budget, and program constraints. Data collection: Competently collect high-quality data using a range of techniques, including electromagnetics, magnetics, radio frequency location, GPR, seismics, ERI. Experience in utility mapping would be advantageous. Data processing and analysis: Use specialist geophysical software and drawing packages (e.g., AutoCAD, Oasis Montaj, RES2DINV, GeoGiga, Geolitix) to QC, process, analyse, and interpret data. Reporting: You will be experienced in producing clear and concise technical reports, which are project and client specific. Compliance: Adhere to Zetica's health, safety, environmental, and quality policies, leading by example in their application. Technical growth: Your existing experience will add to the significant pool of knowledge within the team. You will be able to enhance your skills and knowledge. Zetica will empower and reward innovative thinking while delivering a consistent product. Customer interaction: Communicate professionally and effectively with clients, stakeholders, and colleagues. Requirements Being a geophysicist at Zetica will take you into all kinds of working environments. There will be extensive training in all skills, as well as health and safety procedures. You will need to be physically fit for this position and flexible in your planning. You may need to mobilise at a moment's notice, and resilience is essential for this role. You will work with a fantastic team of like-minded, ambitious, and energetic people. You need to be a good team worker, able to take direction as well as lead others when responsible for tasks. You need to understand that Health and Safety lies at the basis of work well and efficiently concluded. You will need: A relevant degree (e.g., Geophysics, Earth Sciences, or related discipline). Excellent knowledge of physics first principles. A full manual driving license. Strong communication and interpersonal skills. Physical fitness to meet the demands of site work, including lifting equipment and walking significant distances. A proactive approach to problem-solving and innovation. The flexibility to mobilise at short notice and adapt to varying work environments. The position will involve travel, some international. You must already have the right to work in the UK, as we do not sponsor for a visa. Job Types: Full-time, Permanent Pay: From £29,000.00 per year Additional pay: Bonus scheme Benefits: Casual dress Company events Company pension Cycle to work scheme On-site parking Profit sharing Schedule: Day shift Monday to Friday Night shift Weekend availability Ability to commute/relocate: Oxford: reliably commute or plan to relocate before starting work (required) Education: Bachelor's (required) Experience: Earth & Environmental Scientists: 1 year (required) Licence/Certification: full clean manual UK driving licence (required) Work authorisation: United Kingdom (required) Work Location: In person

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

Role Profile After an incredible 12 months working towards US product approval and a recent site expansion, there are plenty of exciting projects planned across the business. As a Senior Scientist, you will lead on complex QC microbial projects and provide independant in-house and on-site expertise in Microbiology. Key Responsibilities : Perform and oversee advanced microbiological tests and experiments on sample, ensuring compliance to GLP Contribute to the efficient and effective day to day running of the microbiology laboratory such as prioritisation of testing workload, review and trending of data Update outdated test methods in accordance with regulatory standards to optimise efficiency within the microbiology laboratory Ensure current methods/ equipment are aligned with pharmacopoeia standard Support in technical discussions to support laboratory investigations and other problem-solving activities Support in the development of the Microbiology Staff Support the QC Manager in the development, collating and reporting of key business metrics to drive a quality culture Requirements: A Bachelors or Master s degree Microbiology At least 5 years of experience Experience of EU and cGMP requirements of the manufacturing and testing of medical device products in commercial environment Ability to troubleshoot complex technical problems Previous experience of hosting regulatory auditors

Walker Cole International is searching for a Senior R&D Scientist - E&L and Nitrosamine Method Development - to join a global pharmaceutical company at their R&D and GMP-regulated site in the UK. As the Senior Scientist, you will play a key role in developing and validating analytical methods to support Extractables, Leachables, and Nitrosamine testing across pharmaceutical products and materials. Your responsibilities will include: Leading and supporting risk assessments and analytical method development for E&L and Nitrosamines. Developing, validating, and transferring LC-MS and GC-MS methods in compliance with GMP and regulatory guidelines. Performing data interpretation, troubleshooting, and technical investigations to resolve analytical issues. Preparing technical reports and regulatory documentation to support product filings and submissions. Collaborating with QC, QA, and Regulatory Affairs teams to ensure analytical compliance and product quality. Contributing to continuous improvement within analytical R&D and supporting method optimisation projects. To be successful, you will have: Proven experience in Extractables & Leachables and/or Nitrosamine analysis within a GMP-regulated laboratory. Hands-on experience with LC-MS or GC-MS and method validation techniques. Strong problem-solving, communication, and documentation skills. Analytical Chemistry Extractables & Leachables Nitrosamines LC-MS GC-MS Method Development Validation GMP Pharmaceuticals R&D

Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.