276 to 300 of 1,152 Machine Learning Jobs in the UK

Expedia Group is seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. This pivotal role focuses on redefining content generation through innovative AI solutions. Ideal candidates will have extensive experience in Machine Learning, especially in NLP and generative technologies. ...

issues and opportunities. Present findings through clear visualisations and compelling data storytelling that support business decision-making. Explore opportunities to apply predictive analytics and machine learning techniques to generate deeper insights and enhance decision-making. Contribute to improving data quality, consistency and governance across reporting outputs. Support … multiple sources. Experience designing dashboards and visualisations that support self-service reporting and stakeholder decision-making. Exposure to predictive analytics, forecasting, data science or machine learning techniques. Experience with working with AI for agentic use cases or conversational analytics. Familiarity with languages such as Python or other. Experience ...

tier consultancy firm is currently seeking an experienced Data Scientist to join a dynamic team focused on leveraging Large Language Models (LLMs) and advanced machine learning to drive tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle … following essential skills Strong experience with Machine Learning and LLMs (such as GPT or BERT). Proficient in Python and standard ML libraries. Skilled at crafting and testing prompts to get the best out of AI models. Able to clean, process, and manage large datasets for training. Great ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What You Will Be Doing We are looking for strong Data and Solution Architects who are passionate … systems to scalable, cloud-native solutions. Design and implement lakehouse architectures that unify data lakes and data warehouses for advanced analytics and AI/ML workloads. Partner with other solution architects to assess solution alignment to the overall architectural blueprint – and drive proposal writing, solution direction, pricing and costing Owns ...

behaviour at scale, enabling Kantar's products to test scenarios and predict outcomes before they happen. What you'll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...

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 ...

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 ...

building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What You Will Bring Design and build high-performance data pipelines: to extract, transform, and load data into Cloud … move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines ...

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 ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data … lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Design, Monitor ...

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 ...

engineering in capacity of LSS Black belt (Preferably certified). Experience of IT Operations, Observability and Monitoring best practices, tools. AI/ML Exposure or Awareness of below: Predictive and Prescriptive analytical approaches, tools from IT operations perspective. AI frameworks, AIOps/MLOps lifecycle. Basic Mathematics and Statistics foundations needed … Data Handling and AI/ML Model Evaluation. ML algorithm types: Supervised Learning (Learning with Labels). Unsupervised Learning (Finding Hidden Patterns). Deep Learning & Advanced Techniques. LLMOps, Prompt Engineering, RAG (Retrieval-Augmented Generation), Model Fine-Tuning, Semantic Evaluation. Basic understanding of capabilities of Anthropic Claude ...

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 ...

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 ...

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 ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...