137 jobs found

We are looking for a Project Manager to join a Global business on a 14-month temporary basis. This is a rare contract role for a senior PM who thrives at the intersection of data science, healthcare and operational rigour. You will be at the heart of a busy Data Science team, translating technical complexity into business clarity and turning ambiguous priorities into coherent, well-governed delivery. You will partner directly with Data Scientists, R&D leads and Commercial stakeholders, owning the planning and communication that keeps multiple concurrent initiatives aligned and on track. The position begins in July and is expected to last for 14 months as a maternity cover - this duration includes both an initial handover and a hand-back. Location: Old Street, London - hybrid working, 2 days per week in the office. 450 - 525 per day PAYE - (depending on expereince) What You Will Own Delivery and Planning: Project plans, timelines, dependencies and sprint ceremonies from discovery through to adoption. Stakeholder Management: Expectations, communications, steering materials and executive summaries that land with clarity. Prioritisation: Helping teams cut through competing demands based on business impact, dependencies and capacity. Operational Rigour: Governance, decision tracking, ownership clarity and the rhythms that make teams run smoothly. Day to Day Responsibilities Drive coordination across multiple concurrent data science and analytics workstreams Facilitate sprint planning, stand-ups, retrospectives and cross-functional ceremonies Proactively surface risks, blockers and dependencies before they become problems Translate technical concepts into business-friendly language for senior stakeholders Prepare concise status updates, steering packs and executive level summaries Act as the central coordination point between Data Science and all project partners Support quarterly roadmap planning and prioritisation exercises Maintain documentation, decision logs and clear ownership of deliverables Continuously improve delivery processes and project governance frameworks Candidate Requirements: Proven PM experience in data science, analytics, or R&D environments Strong knoweldge of AI tools Comfortable bridging technical and non-technical audiences with ease Experience working in a regulated industry i.e Medical Can bring structure to ambiguity and energy to complex, multi-stakeholder programmes Are experienced with agile delivery frameworks and cross-functional working Can hit the ground running in a fast-moving, commercially focused organisation Interested? Please apply! And if you would like to learn further information after making an application please call (phone number removed) and ask to speak with Beth Think Specialist Recruitment is an independent support staff recruitment agency based in Hemel Hempstead and working across London, Herts, Beds and Bucks areas. We specialise in permanent, temporary and contract recruitment with areas of expertise including: administration, customer service/call centre, PA/secretarial, human resources, accountancy and finance, sales admin/sales support, marketing and IT Helpdesk/IT support.

Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.

AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid (Canary Wharf, London - 1 day per week) Contract until September 2026 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance.This is an exciting opportunity to play a key role in delivering cutting-edge AI solutions within a secure, high-impact environment-helping shape how AI is deployed across critical public services. The Role You'll be responsible for designing and delivering production-grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI.Key responsibilities include: Designing, developing and deploying AI-enabled applications across cloud platforms Building and scaling Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production-ready services Engaging stakeholders to identify and shape high-value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof-of-concepts to support decision-making and future investment Experience Required Proven experience delivering AI-enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI-driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - 1 day per week on-site in Canary Wharf Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

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: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 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.

Parkinson s UK is looking for a Analytics and Insights Lead to bring their technical and soft skills to bear in a hands-on role to provide strategic partnership to the organisation, empowering colleagues and volunteers with the skills, tools, and data-related practices needed to execute our organisational strategies. About the role You ll manage a small team of analysts, data scientists, and market researchers within the wider Data & Insight team. You will shape this team into a cohesive and high-performing unit, setting standards and coaching individuals to reach their full potential, as well as collaborating on creating effective hand-offs between teams. What you ll do Lead analytical workstreams, combining hands-on technical expertise with effective delegation and resource management to deliver high quality outputs that support wider business objectives Partner with business stakeholders in understanding needs and collaborating on effective solutions Develop and maintain data assets that support key business decisions Interpret and communicate insights and recommendations to stakeholders, driving decision-making and action What you ll bring Analytic, strategic and critical thinking skills - evidenced by the ability to ask good questions, challenge underlying assumptions, and translate goals into actions Proven experience of effective line management, including coaching and performance management Ability to interpret data and make compelling recommendations Technical proficiency in core analytical tools and modern platforms (e.g. SQL, Snowflake, Tableau, cloud analytics) Expertise in the charity/non-profit sector, with experience of analysing Fundraising and Financial data being a plus This is an exciting time for Parkinson s UK and we would love you to join us! This role is hybrid and your in person working depends on your team agreement, requirements of the role and led by activity based principles. The in person/office attendance expectation for this role will be a minimum on average 1 day per week with flexibility. Please apply by sending us your CV, together with a detailed supporting statement which will fully demonstrate how you meet all the criteria of the role, as stated in the "What you'll bring" section of the job description. Anyone can get Parkinson s. It s vital that the people who work for Parkinson s UK are representative of our diverse community. We actively encourage people from all sections of the community to apply, regardless of race, ethnicity, gender identity, age, disability, sexual orientation, or religion.

Title: UK Sales Manager - Chemicals Location: Remote, occasional requirement on site in Manchester office Salary: 45,000 - 55,000 + benefits Term: Permanent SRG is partnering with a leading chemical manufacturer in Manchester, who offer a wide range of innovative raw materials to manufacturers and brands in the UK market (encompassing Personal Care, HI&I, Oil & Gas and Agriculture amongst others). With world-class R&D and manufacturing facilities, they have a well-known reputation for success in the market. Adopting a value-based sales approach, you will travel extensively across the North of the UK and Ireland, regularly meeting customers to continually build, develop and grow customer relationships across a variety of chemical manufacturers and brands. With several existing buying accounts, the role will be approximately 50/50 business development-account management. Benefits: Car allowance, very generous bonus scheme (up to 15k annually!), full autonomy to manage a well-established territory with scope to grow it further. Role / Description Identifying, contacting and developing new business using a variety of methods Promoting the company's range of innovative raw materials Growing market presence across the Northern UK & Ireland chemicals market Growing existing customer relationships to ensure customer satisfaction and ultimately look to increase account spend Travelling approximately 1/3 of your time across Northern UK to visit customer sites Generating leads to identify new potential UK chemical customers Maintaining and updating the database to build a global customer pool Keeping abreast of product development & trends in the chemicals industry. Requirements Recent direct experience in consultative and technical sales of chemical raw materials to either Personal Care, HI&I, Oil & Gas, Agriculture or other related sectors Degree-level qualified (or equivalent) in Chemistry or a closely related subject Experience with delivering technical presentations on chemical raw materials Excellent communication and interpersonal skills Willing, and excited, to travel 1/3 of your time across Northern UK & Ireland Full, clean UK driving licence A proactive approach and drive to deliver exceptional customer service If you would like to apply for this position, please use the link provided. Alternatively, please email a copy of your CV to For more information regarding this position or any others, please call Amy on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Exciting Opportunity: Senior Molecular Biologist (Gene Synthesis Start-up) Are you a hands-on molecular biologist who enjoys turning science into real-world solutions? We are looking for a Molecular Biologist to join an early-stage biotech bringing a gene synthesis technology to market. Your focus will be on commercial implementation. You'll tackle customer-driven challenges head-on, solving problems and adapting approaches to meet real-world constraints and deliver results. Job Title: Senior Molecular Biologist Vacancy Type: Permanent Location: London Salary: DOE About the Organisation You'll be joining a biotech start-up focused on bringing a gene synthesis platform to market. The team is small, ambitious, and technically driven, working at the intersection of molecular biology and automation. With support from Innovate UK, the business is moving rapidly from concept through validation and toward commercialisation. The Role of the Senior Molecular Biologist This is a hands-on, lab-focused role , working as part of a small core team to develop and refine process workflows that underpin a commercial gene synthesis offering. You'll take ownership of key work packages, contributing directly at the bench while collaborating closely with internal colleagues and external partners to solve complex technical challenges. Key responsibilities include: Designing, executing, and troubleshooting molecular biology workflows related to gene synthesis Owning and driving iterative experimental cycles to improve performance, robustness, and scalability Developing and maintaining SOPs and documentation Collaborating with external partners to replicate and internalise key technical capabilities Establish protocols on automated liquid handling platforms to enable commercial scale Operating and optimising sequencing platforms, including Nanopore and Sanger sequencing Analysing sequencing and experimental data, including use of Python-based tools Contributing to broader strategy discussions as the platform evolves toward commercialisation The Ideal Candidate for the Molecular Biologist Role To succeed in this role, you will bring: A strong foundation in molecular biology , with proven hands-on troubleshooting experience A highly practical mindset with a genuine enthusiasm for bench science and iteration Familiarity with automated liquid handling systems Experience operating Nanopore and Sanger sequencing platforms Experience working within industry and have commercial acumen Working knowledge of Python for scientific or sequencing data analysis Excellent documentation and communication skills The ability to take ownership of a workstream and drive it independently Experience working in a commercial gene synthesis setting Nice to have (Not essential): Project management skills Experience in synthetic chemistry pertinent to DNA synthesis Background & Mindset This role is best suited to someone who: Focused: on leading and delivering scientific work in a commercial setting. Comfortable with working with the goal of meeting commercial objectives. Has experience across both structured environments (e.g. larger organisations) and fast-moving or early-stage settings Is comfortable working with ambiguity, evolving priorities, and high autonomy Enjoys solving problems without predefined answers Is collaborative, pragmatic, and motivated by building something new Project management experience is beneficial, but not essential. Growth Opportunity This role offers a clear pathway towards senior oversight. As the company grows, you will have the opportunity to: Identify, hire and oversee lab technicians to support in processing Build and mentor a growing scientific team Contribute to external partnerships, fundraising, and strategic planning Why This Role? This is a genuinely unique opportunity for a scientist who wants to: Stay hands-on in the lab while influencing company direction Work on high-impact technology Be part of a foundational team in a start-up environment Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer

Head of Science - September 2026 or January 2027 Lead. Inspire. Transform. Are you an experienced Science teacher ready to take the next step in your leadership journey? Do you want to lead a thriving department within a prestigious Independent School where academic excellence, innovation, and holistic education are at the heart of everything? If so, we would love to hear from you. Position: Head of Science Location: Leatherhead, Surrey Start Date: September 2026 or January 2027 Salary: Competitive, dependent on experience About the Role We are seeking an ambitious and dynamic Head of Science to lead a successful and well-established department within a leading Independent School. This is an exciting opportunity to shape the strategic direction of Science across Key Stages 3 to 5, working alongside a highly collaborative team in exceptional facilities. The successful candidate will be responsible for driving academic excellence, fostering intellectual curiosity, and ensuring that pupils are inspired to achieve their full potential. The school is renowned for its outstanding pastoral care, broad co-curricular provision, and commitment to developing confident, well-rounded young people. What We're Looking For Experienced Science Teacher A strong classroom practitioner with a passion for Science and a track record of delivering excellent outcomes across one or more disciplines. Inspiring Leader Someone who can motivate colleagues, raise standards, and drive innovation across the curriculum. Outstanding Role Model A teacher who is committed to providing a first-class education and who values the importance of developing the whole child. Strategic Thinker Confident in using data and educational research to inform planning and lead departmental development. Qualified Professional QTS or an equivalent teaching qualification is essential, and previous middle leadership experience is highly desirable. Why Join This School? Exceptional Reputation Join one of the region's leading Independent Schools, recognised for its academic excellence and outstanding pastoral care. Supportive Leadership Work within a collaborative and forward-thinking senior leadership team committed to professional growth and wellbeing. Outstanding Facilities Benefit from superb Science laboratories, excellent resources, and access to a wide range of professional development opportunities. Career Development A fantastic opportunity to shape the future of Science education and further your leadership career within an ambitious and innovative school. Take the Next Step If you are ready to lead and inspire the next generation of scientists, this is an exceptional opportunity to make a lasting impact. Apply now or contact Louis Denison-Foster at Academics for more information.

Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. Data Science Lead Upto £1,000/day PAYE Initial 6-Month Contract Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. The Role We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency. You'll work closely with senior stakeholders, analytics teams, and offshore delivery partners to identify opportunities, shape data science strategy, and ensure the successful delivery of business-critical initiatives. Key Responsibilities Lead the design, development, and deployment of advanced analytical and machine learning models. Partner with business and technology stakeholders to translate complex challenges into data-driven solutions. Drive the modernisation of data science practices, tools, and methodologies. Oversee model performance, governance, documentation, and regulatory compliance. Manage and mentor data scientists while collaborating with offshore analytics teams. Present insights and recommendations to senior business audiences. Essential Experience Proven experience leading data science projects in large, complex organisations. Strong Python and/or HX modelling experience. Track record of delivering models that drive measurable commercial outcomes. Expertise in predictive modelling, machine learning, and statistical analysis. Experience working with large-scale structured and unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims. Experience with Spark, Hadoop, NoSQL, or modern big data platforms. Agile delivery experience and collaborative software development practices. Experience leading analytics teams and driving organisational change. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

We are looking for an AI Engineer / Data Scientist to work with one of our clients in the defence sector. You will collaborate with the Technical Lead, Engineers and Architects to design, build and deliver secure digital solutions in highly secure environments. We are looking for someone who has strong hands-on AI engineering experience building LLMs, SLMs and working on ML. You will need experience with graph databases, RAG and Microsoft Graph Retrieval. You will need experience working with geospatial data and large datasets, ideally over 100,000 objects with complex meta data and characteristics. Due to the nature of the work, candidates must be sole British nationals and be prepared to go through SC clearance and be on site 2 days a week.

MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to 537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to 537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

AWS Data Solution Architect Location: UK Wide (Hybrid Working - our clients has base offices UK-Wide) Salary: Up to 110,000 Base Salary + Bonus + Comprehensive Benefits Package Security Clearance: Must be eligible for SC Clearance Shape the Future of Data, Analytics & AI We're partnering with a leading global technology consultancy to recruit an experienced AWS Data Solution Architect . This is a fantastic opportunity to play a key role in designing and delivering modern, enterprise-scale data platforms that enable advanced analytics, AI, GenAI, and data-driven decision making across some of the UK's most complex and high-profile environments. You'll work alongside highly skilled architects, engineers, and data specialists, helping organisations transform their data capabilities using cutting-edge AWS technologies and modern cloud architectures. The Opportunity As an AWS Data Solution Architect, you will take ownership of end-to-end solution design, translating business requirements into scalable, secure, and governed cloud data platforms. You'll lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience and cost optimisation. Implement CI/CD pipelines and Infrastructure-as-Code using AWS CDK, CloudFormation or Terraform. Lead cloud migration and modernisation programmes from legacy data estates to modern AWS architectures. Collaborate with stakeholders, engineers, data scientists and delivery teams to ensure successful outcomes. Desirable Experience Public sector delivery experience. Experience supporting AI, Machine Learning and GenAI initiatives. AWS certifications such as: AWS Certified Solutions Architect AWS Certified Data Engineer - Associate AWS Certified Security - Speciality Experience with: Terraform AWS CDK CloudFormation AWS CodePipeline AWS CodeBuild Git-based CI/CD workflows Security Clearance Requirements To be considered for this opportunity, candidates must be eligible to obtain Security Check (SC) Clearance . This typically requires continuous UK residency for the previous five years, alongside meeting other government security clearance criteria. Apply Now If you're passionate about designing next-generation AWS data platforms and want to work on impactful programmes that leverage analytics, AI and cloud innovation at scale, we'd love to hear from you.

Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.

Data Platform Manager UK / Remote Circa 65k - 75k per annum + bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends What's in it for you? Performance-related bonus Private healthcare and life assurance 33 days annual leave (rising to 38 with service) Discounts across major retailers, restaurants, and holidays Generous family benefits and staff discounts Award-winning training and clear career progression Comprehensive wellbeing support for you and your family If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Chemical Compliance Scientist - (Regulatory REACH Specialist) c40k prorate Hampshire, TEMP ABJ6720 TEMP - ONSITE - 22.77/hr PAYE 35hr wk Duration: 3 months (end Sept 2026) An exciting opportunity has arisen for a, Chemical Compliance Scientist to join a leading compliance and regulatory team. As a chemicals regulatory / compliance specialist with REACH experience you will be is responsible for ensuring products and consumables meet applicable chemical regulations, industry standards, and internal compliance requirements across international markets. As a regulatory chemist with REACH experience you will provide expert guidance on chemical regulatory matters, conduct compliance assessments and competitor product audits, and support the delivery of training and regulatory awareness programmes across the business. In chemical compliance you have the opportunity to work closely with scientific, legal, product development, and compliance teams, influencing strategic business decisions through regulatory insight and technical expertise. Key Responsibilities Conduct chemical compliance audits and assessments of competitor products to evaluate adherence to relevant regulations and industry standards. Working with chemical regulations such as REACH, CLP, or GHS Analyse and communicate regulatory findings and market insights to support business strategy and decision-making. Develop strong working relationships with cross-functional teams to ensure timely access to product and regulatory information. Provide guidance on chemical regulations and their impact on product development, commercialisation, and market access. Deliver training and awareness programmes on chemical regulatory requirements, including chemical classification, labelling, and safety data documentation. Support the implementation and maintenance of compliance processes across multiple product categories and global markets. Conduct regulatory impact and risk assessments, clearly communicating outcomes and recommendations to stakeholders. Collaborate with product development, operations, legal, scientific, and compliance teams to embed regulatory requirements throughout the product lifecycle. Monitor developments in global chemical regulations and emerging compliance requirements. Experience & Skills Required Bachelor's degree or higher in Chemistry, Toxicology, Regulatory Affairs, Environmental Science, Life Sciences, Law, or a related discipline. Working knowledge of global chemical regulations, including REACH, CLP, GHS, Safety Data Sheets (SDS), and chemical classification requirements. Experience conducting compliance audits, risk assessments, or regulatory impact assessments. Ability to interpret complex regulatory requirements and communicate findings clearly to technical and non-technical stakeholders. Desirable Experience within chemicals, life sciences, pharmaceutical, or regulated product industries. Knowledge of product stewardship, chemical safety, or regulatory affairs processes. Experience working with chemical regulations such as REACH, CLP, or GHS Regulatory assessments, or risk evaluations within a regulated industry? Full Time. TEMP To Apply : Please contact Alison Basson on (phone number removed) / (phone number removed) or apply for ABJ6720 to

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 pipelines What We're Looking For Essential: 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 audiences Desirable: 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 spaces Key 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 delivery What 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

Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.

Lead Data Scientist - Farnborough - Outside IR - 650 P/Day - Hybrid A growing technology organisation operating within highly secure environments is looking to hire a Lead Data Scientist to lead Data Science processes and GenAI deployment across complex programmes. As a Lead Data Scientist, you'll play a key role in designing, developing, and deploying advanced AI systems, with a particular focus on Generative AI and Large Language Models (LLMs). You'll work across complex datasets and emerging technologies to create scalable, repeatable, and production-ready solutions. You'll collaborate with engineering and technical leadership teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related AI frameworks Build and optimise graph databases to support intelligent data relationships and retrieval Design and implement MCP servers and supporting AI infrastructure Select and apply appropriate machine learning techniques to achieve repeatable and measurable outcomes Contribute to AI architecture decisions, experimentation strategies, and technical roadmaps Work closely with engineers, architects, and stakeholders within secure environments Support optimisation problems and solver-based approaches where required Experience Required Strong hands-on experience building AI models and machine learning solutions Commercial experience with: Large Language Models (LLMs) Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature of the opportunity and business, applicants need active SC Clearance. Lead Data Scientist- Farnborough - Outside IR - 650 P/Day