301 to 325 of 1,209 Machine Learning Jobs in the UK

organisation to recruit a fraud data analytics specialist. The team works at the forefront of data-driven fraud risk management, leveraging technologies such as machine learning, network analysis, graph analytics, and large language models to uncover hidden risks, identify suspicious behaviour, and support high-profile investigations. This … MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

staff and systems. Ensure agentic AI solutions progress from proofs of concept to scaled, repeatable, value‐generating offerings through robust Machine Learning(ML)Ops/Large Language Model Ops practices. Lead organisation wide internal adoption of agentic AI to improve productivity, quality, and scalability. Design solutions that … requirements and operate at enterprise scale, and (c) demonstrate cost‐effectiveness and sustainability at organisational scale. Impact‐Driven Analytics & AI Initiatives Develop AI/ML models that enable strategic scaling of CIFF’s operations and collective intelligence (through data visualisation and similar platforms. Support the Enterprise Architect in modernising ...

client is an award-winning technology company developing advanced software platforms used across the UK and internationally. They operate at the intersection of AI, Machine Learning, NLP, IoT, SaaS, and Cloud technologies , and are seeking high-calibre STEM graduates to join as Graduate Technical Engineers , with a structured … analysing system behaviour Communicate technical concepts to technical and non-technical stakeholders Contribute to ongoing system and development improvements Technology Exposure Artificial Intelligence & Machine Learning Natural Language Processing (NLP) SaaS & Cloud platforms IoT/M2M systems Unified Communications & Contact Centre technologies IT Security & Data Infrastructure Future development into ...

development principles. Proficiency in modern cloud platforms, particularly AWS, with experience in designing and managing scalable cloud-based solutions. Experience in integrating AI and machine learning technologies into software solutions to enhance functionality and user experience. Strong skills in database design, optimization, and maintenance, with experience in ensuring … Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines Ability ...

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 ...

Extraction, interpretation and presentation of emerging data Development of Power BI reports to showcase patterns, trends and issues Use of accumulated data to develop machine learning models for improved future accuracy Collaboration with wider Performance, Analysis and Advanced Engineering teams to support machine learning initiatives … will have the chance to develop your skills and knowledge in a supportive and dynamic environment. Our program is designed to provide a comprehensive learning experience that prepares you for a successful career in the industry. Training This 36-42 month Level 6 Data Scientist Apprenticeship gives learners essential ...

solution into production. 1x Data Scientist - (Predictive Maintenance)Must have:-· Full stack data scientist with both science and engineering skills to develop ML solutions and get them into production· Senior individual contributor...able to draw upon a wide experience of problems and solutions to technically guide more junior data scientists.· Expert … applied machine learning, including the techniques currently being used in PRISM (XGBoost and SHAP)· Experience of using machine learning to solve commercial predictive· Ideally, experience with Causal MLBoth roles require Stakeholder management skills (defining and prioritising requirements, contributing to product roadmap, supporting adoption). Hays Specialist ...

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 … 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 ...

future of digital research capabilities, designing scalable and secure solutions across cloud and on-premise infrastructure , with a strong emphasis on AI/ML platforms, MLOps, Large Language Models (LLMs), and research-focused data architecture . The successful candidate will work closely with research, clinical, digital, infrastructure, cyber security … enabled platforms. Define architecture principles across cloud, on-premise, and hybrid environments , ensuring scalability, resilience, and security-by-design. Design and support AI and machine learning architecture , including MLOps delivery frameworks , model lifecycle considerations, governance, and deployment patterns. Provide expertise around Large Language Models (LLMs) and Generative ...

hands on engineering position suited to individuals who enjoy building end to end AI applications, working with large language models, agentic workflows and modern machine learning technologies. Responsibilities for the AI Engineer: Develop and deploy AI powered applications, services and APIs Build solutions using Generative AI, Agentic … machine learning techniques Design and optimise RAG pipelines, vector search solutions and AI workflows Integrate AI capabilities into existing platforms and business systems Collaborate with engineers, data specialists and business stakeholders to deliver high impact solutions Contribute to technical best practice and support continuous improvement across ...

pragmatic delivery. This is an organisation that invests in modern tools and encourages continuous learning. The Role and Deliverables Build, validate, and deploy machine learning models to solve business problems Translate complex data into actionable insights for non-technical stakeholders Work with structured and unstructured datasets to uncover … clear documentation and communicate findings effectively Support ongoing optimisation and monitoring of deployed models Your Skills & Experience Strong experience in data science or applied machine learning within a commercial environment Proficiency in Python or R, with experience using relevant libraries and frameworks Experience working with SQL and handling ...

large organisation, it offers a structured and professional environment with opportunities to work on impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines … approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP/text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive ...

large organisation, it offers a structured and professional environment with opportunities to work on impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines … approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP/text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive ...

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 … 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 ...

measurable business impact. Key Responsibilities Define the technical strategy for Data & AI initiatives across the business Lead the design and delivery of GenAI, NLP, Machine Learning and RAG-based solutions Translate complex business challenges into scalable AI products and capabilities Own architecture patterns covering orchestration, retrieval, monitoring, evaluation … Responsible AI, model evaluation and production deployment Mentor Data Scientists and provide technical leadership across delivery teams Key Requirements Proven experience leading Data Science, Machine Learning or GenAI initiatives within complex organisations Experience building and deploying LLM‐powered applications Strong knowledge of RAG, embeddings, vector databases and retrieval ...

suggestions are managed effectively, acting as the final escalation point before the CEO Explore new data sources, data gathering methodologies and opportunities to utilise Machine Learning and Artificial Intelligence (AI) Travel as required Define and maintain company governance policies Collaborate with cross-functional teams to integrate solutions into … data vendor. International experience and exposure to various jurisdictions outside the UK. Proven ability to manage challenging interpersonal dynamics and Department Heads. Exposure to machine learning and AI. Practical experience in implementing organisational design and change management. Extensive hands-on experience in data gathering and the building ...

covering communications, customer engagement and payment solutions. Lead the design, development and launch of innovative cloud-native products and services. Drive adoption of AI, machine learning and automation technologies across both products and internal development processes. Build, develop and optimise the Product Development function, ensuring capability aligns with … Strong knowledge of cloud-based communications, customer engagement or SaaS platforms. Experience delivering enterprise-scale software products and technology transformation programmes. Expertise in AI, machine learning, analytics and data-driven product development. Knowledge of secure payment technologies, compliance frameworks and cloud infrastructure. Strong understanding of Agile delivery methodologies ...

customer loyalty programme. The Role You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions. Build and deploy models that support customer and commercial decision making Work on use cases such as customer segmentation, lifetime value … experience working with large datasets End to end experience delivering Data Science solutions from problem definition through to deployment Experience building and validating machine learning models Ability to communicate insights clearly to non technical audiences A practical, business focused approach to problem solving What They Offer Hybrid working ...

numerical simulations for complex real-world applications Work closely with software, systems and modelling teams to support implementation and integration activities Contribute to machine learning, data-driven and optimisation techniques where applicable Support continuous improvement of algorithm development methodologies and engineering processes Ensure robust verification, testing and quality … development lifecycle Skills & Experience Experience in some of the following areas is highly desirable: Algorithm development or mathematical modelling Numerical analysis and simulation Machine learning/AI techniques Data science methodologies Geospatial analysis or GIS technologies Scientific programming or software development MATLAB, Simulink and/or Python Strong ...

processes. Optimize application performance, scalability, and reliability across enterprise environments. Work closely with product teams to improve user experience and system usability. Experiment with machine learning models and AI tools to enhance product capabilities. Participate in fast paced development cycles with strong focus on delivery speed. Job Requirements … engineering using Python, TypeScript, Kotlin, or similar languages required. Proven experience building and shipping AI powered products in production environments required. Strong understanding of machine learning concepts, AI systems, and model integration required. Experience working across full stack development including backend and frontend systems required. Ability to design ...

Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns … impact Your Skills & Experience Strong commercial experience in Data Science, delivering end-to-end projects Proficiency in Python, with solid SQL skills Experience applying machine learning and statistical techniques to business problems Exposure to deploying models into production environments Understanding of cloud platforms such as GCP or Azure ...

measurable business impact. Key Responsibilities Define the technical strategy for Data & AI initiatives across the business Lead the design and delivery of GenAI, NLP, Machine Learning and RAGbased solutions Translate complex business challenges into scalable AI products and capabilities Own architecture patterns covering orchestration, retrieval, monitoring, evaluation … Responsible AI, model evaluation and production deployment Mentor Data Scientists and provide technical leadership across delivery teams Key Requirements Proven experience leading Data Science, Machine Learning or GenAI initiatives within complex organisations Experience building and deploying LLMpowered applications Strong knowledge of RAG, embeddings, vector databases and retrieval architectures ...

good software engineering processes (version control, repositories, testing etc). Understanding how to visualise data for academic and industrial reports. Any experience with applied machine learning techniques used for signal processing would be desirable. Similarly, experience working in biotech or pharmacological projects would be of interest. As this … dynamic company as they begin their growth and be compensated with an excellent remuneration package. Keywords: Data Science, Analytics, Python Development, Algorithms, Optimisation, Machine Learning, Life Science, PhD/Post-Doc, Start-Up Another top job from ECM, the high-tech recruitment experts. Even if this ...

PEOPLE is looking for a Machine Learning Engineer to join their team in Central London. This full-time role offers a competitive salary of up to £165,000, with stock options and benefits. The company is in a high-growth InsurTech sector and leverages AI to transform … insurance industry. The successful candidate will work on deploying machine learning solutions, improve operational workflows, and shape the technical culture of a game-changing team. #J-18808-Ljbffr ...

alignment and recommending changes where appropriate Experience designing Azure-based customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging Understanding of machine learning and AI applications for customer personalisation Familiarity with capabilities supported by Databricks for customer data processing Experience with Agile delivery methodology Experience … master data management Stay abreast of industry trends in customer data technologies and retail data strategies Technologies AI Architect Azure CRM Databricks Support Machine Learning Security Cloud Contract Details We are seeking an experienced Data Solutions Architect to join our Data Architecture & Design Team on a 6‐month ...