276 to 300 of 1,119 Machine Learning Jobs in England

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 ...

solve sophisticated business problems, managing analytical workstreams, mentoring junior colleagues, and engaging with stakeholders up to VP level. Responsibilities Apply advanced statistical and machine learning techniques to supply optimization challenges, delivering data-driven insights and recommendations that create measurable business impact. Extract, structure, and transform data from multiple … data querying tools such as Presto, Hive, BigQuery, or Hadoop. Exposure to Bayesian methods, causal inference, or multi‐armed bandit approaches. Experience collaborating with Machine Learning or Data Science teams to validate and scale models for business impact. Familiarity with inclusive data visualisation design principles, including accessible colour ...

Senior Project Manager - eDiscovery, AI/GenAI/machine learning Our client is looking to recruit a Senior Project Manager (eDiscovery, AI/GenAI/machine learning) on a permanent basis to lead the full lifecycle of litigation technology projects, from early case assessment through trial ...

Senior Specialist Solutions Engineer (AI/ML) Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production … grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will ...

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 ...

develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets to uncover trends, patterns and opportunities Build and deploy advanced analytics and machine learning models Collaborate with data engineering teams to shape data pipelines Lead, mentor and develop a team of analysts Work closely with senior … Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part of a high-impact, growing analytics ...

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

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 ...

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 ...

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 ...

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 ...

data warehousing, integration and Cloud migration. As art of a broader Cloud migration programme, this will include areas such as Data Lakehouse and factories, machine learning and AI to maximise efficiency across Data Management. The core elements of the role include: Line management of the Data Team. Lead … lead successful data projects. Strong core knowledge on Data Warehousing and Integration. Expertise in Cloud Data Services (AWS, Azure, Google). Familiarity with machine learning and AI tools associate with data analysis. Ability to troubleshoot complex issues across SQL and ETL tools. Fabulous working environment, with flexible ...

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 ...

looking for a Principal Research Scientist in London to drive machine learning research in their Systematic Equities business. You'll mentor researchers and guide strategic research direction while collaborating on pioneering projects with access to exceptional datasets and computing resources. The ideal candidate will hold … related field and have a strong publication record, aiming to influence the future of machine learning at a leading trading firm. #J-18808-Ljbffr ...

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 ...

Global is seeking a Senior Data Scientist to develop machine-learning powered products. This role requires expertise in statistics, Python, and AI technologies to solve complex business problems. Join a dynamic team in a hybrid work environment, leveraging your skills to build production-ready solutions that deliver significant … business value. Ideal candidates have a strong background in data science and a proven track record in machine learning and AI applications. #J-18808-Ljbffr ...

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 ...

recruit brilliant Software Engineer with upwards of 5 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We’re looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers … would be very interested to see your profile. Must be 100% trustworthy with real integrity – this is a highly sensitive project. Key skills: Python, Machine Learning, Java The Client would like to see solid expertise of working with and developing complex applications with Java. Excellence is vital. Ideally ...

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 ...