103 jobs found

Graduate Analytical Chemist required on a temporary basis, based in North Cheshire. Recent Chemistry graduates with strong laboratory skills and an eagerness to learn are encouraged to apply. Full training can be provided. Title: Graduate Analytical Chemist Location: North Cheshire Salary: 29,000 - 30,000 Term: Temporary (up to 6-month contract initially) SRG are working with a multinational chemicals manufacturer who produce a highly varied range of products. Based in North Cheshire, their central Analytical Team is now looking to hire a Chemistry Graduate to join the team as an analyst on temporary contracts initially. The temporary contract can be up to 6-months in the first instance, with potential to extend or even turn permanent. This vacancy is to support with testing of samples from across the site, from multiple departments and customers. This would be an excellent opportunity for recent chemistry graduates with strong laboratory skills to learn and develop in a global chemical manufacturer. Full training can be provided. Role / Description Conduct analysis using a range of analytical techniques and instrumentation including GC, HPLC, ICP, MS and Atomic Absorption Spectroscopy to conduct analysis, as well as density, colour and wet chemistry tests. Carry out quality checks on instruments and methods that guarantee the quality of data produced. Complete initial investigation work on analytical anomalies in line with technical and analytical instrument and technique knowledge Requirements HND or BSc degree in Chemistry, Analytical Science, Forensic Science or similar preferred Good practical analytical skills - hands-on industrial experience of GC (Gas Chromatography) and HPLC in particular, ICP or MS is preferrable - this can be through education or work experience Excellent time management skills, able to adapt according to priorities and think clearly under pressure A strong team player, able to collaborate and support colleagues as needed Eagerness to learn and develop 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 Chris 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.

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.

Develop infrared imaging systems for object detection and characterisation This high-growth startup in the defence and security sector is seeking an experimental physicist to work on infrared detection systems. You will build and operate their experimental systems working on all aspects of the design from sensor selection and optical design through to signal processing and data analysis. Your work will directly translate to the technologies and products of the company, and your insights will shape their future research direction. Requirements: Strong hands-on skills building and troubleshooting optical and electronic systems using infrared sensors or detectors. Specific experience with thermal imaging or Long-wave / Medium-Wave / Short-Wave IR would be beneficial but is not required. Good knowledge of signal processing and data analysis methods in the context of imaging processing and object detection. PhD in Physics (or equivalent commercial experience) supported by a top undergraduate degree in Physics (Oxford, Cambridge, Imperial or equivalent). UK national or previous UK security clearance. This is a defence company, and this role requires applicants to be eligible for UK security clearance. This is a great opportunity to further your career working on technically challenging problems with real-world impact. You ll be working alongside other scientists and engineers developing cutting-edge technologies in a stimulating research environment. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27652 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

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.

TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting

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.

Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.

Data Scientist / AI Engineer (TensorFlow, PyTorch) Required Our East Anglia based Global client seeks an experienced Data Scientist / AI Engineer with the following must have skills and experience Min of 3 years of commercial experience in a similar Data Science / AI Engineer role Essential technical skills: Technical Skills : Proficiency in programming languages such as Python , C++ , or Java . Deep knowledge of LLMs and natural language processing, including hands-on experience with transformer architectures (e.g., GPT, BERT, T5). Expertise in deep learning frameworks such as TensorFlow , PyTorch , or JAX . Strong knowledge of machine learning algorithms and their application to NLP tasks. Experience with cloud platforms such as AWS, GCP, or Azure for model deployment and scalability. Experience in building APIs, services, and infrastructure to support AI-driven applications. Experience : Experience in AI/ML engineering with a focus on LLMs and NLP. Proven track record of fine-tuning pre-trained models for various NLP tasks. Experience in MLOps and deploying machine learning models in production. Our client is offering a competitive salary including bonus and benefits Candidates must have excellent communication skills and be eligible to live and work in the UK without any restrictions Please note only candidates with all of the above will be considered for this role.

Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.

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.

Join Our Dynamic Data Science Team! Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on a fixed-term contract. With a daily rate ranging from £550 to £850, you'll play a crucial role in shaping the future of retail through data-driven insights and innovative solutions! About the Team:At our client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative environment, rotating across different business areas to expand their expertise and make a significant impact. Your Role:As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building and maintaining data pipelines while ensuring effective model performance evaluation. Experimenting with innovative approaches to translate business challenges into actionable data science solutions. Collaborating with Machine Learning Engineers and Software Engineers to create efficient and maintainable solutions aligned with the organization's technology standards. Communicating complex ideas clearly to non-technical stakeholders and contributing to internal knowledge sharing. What You'll Need:To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data science solutions. Extensive experience using Python for model development and working with large-scale data in distributed computing environments. Knowledge of strong coding practices, including version control and testing methodologies. A proactive approach to learning new methods and keeping up with the latest industry developments. A higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, or Physics) is preferred, but equivalent commercial experience is also valued. Hands-on experience with advanced machine learning libraries. Contract Details: Contract Length: 6 months with possible extension. Working Pattern: Hybrid 2-3 day sper week in office. Why Join Us?This is a fantastic opportunity to apply your skills in a fast-paced environment and contribute to innovative projects that directly influence customer experiences and business outcomes. If you're excited about leveraging data to drive meaningful change and thrive in a collaborative atmosphere, we want to hear from you! Ready to Make a Difference?Apply now to become part of a forward-thinking team that values creativity, collaboration, and continuous learning! Your journey in data science starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

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

Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford 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.

Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge 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.