251 to 275 of 1,011 Machine Learning Jobs in England

Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building. Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models … Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics YOUR SKILLS & EXPERIENCE Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples ...

Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across … data platforms Integrate data from multiple sources including APIs, databases, and cloud storage Collaborate with data scientists and analysts to enable advanced analytics and ML workloads Implement monitoring, logging, and cost-optimization best practices Follow data governance, security, and compliance standards Document data pipelines, architectures, and best practices Required Qualifications ...

communication Other: Mapping/location-based services There’s also scope to get involved in machine learning over time. Staxy already use ML to process GPS data and understand travel behaviour, and this will become a bigger focus as the platform evolves. You don’t need ML experience … React Native/Expo experience MongoDB Fastify or similar Node frameworks Mapping or location-based services Payments (e.g. Stripe) Any exposure or interest in machine learning Growth & progression Because the team is small and early-stage, this is a role where progression is earned, not capped. As Staxy ...

communication Other: Mapping/location-based services There’s also scope to get involved in machine learning over time. Staxy already use ML to process GPS data and understand travel behaviour, and this will become a bigger focus as the platform evolves. You don’t need ML experience … React Native/Expo experience MongoDB Fastify or similar Node frameworks Mapping or location-based services Payments (e.g. Stripe) Any exposure or interest in machine learning Growth & progression Because the team is small and early-stage, this is a role where progression is earned, not capped. As Staxy ...

quality, security, and maintainability matter. What you’ll be doing Designing and developing object-oriented software using C#, C++, and Python Integrating AI/machine learning components into production applications Building and maintaining APIs, services, and microservices Working across the full Software Development Life Cycle (SDLC) Translating requirements … clearance or eligibility to obtain it (UK residency required) Desirable experience Experience with AI agents, autonomous systems, or decision engines Exposure to LLMs, machine learning models, or AI APIs CI/CD, automated testing, and Git experience Agile delivery (Scrum/Kanban) Cloud platforms (Azure, AWS, or similar ...

Title: AI Engineer (Digital Health)/Machine Learning Engineer/AI Lead/Generative AI Engineer/Aritificial Intelligence Level: Mid-Level Location: United Kingdom (Hybrid working) Salary: £60,000£90,000 + benefits Employment Type: Permanent The Opportunity We are a Specialist Digital Health Consultancy working with … quality. What Were Looking For AI & Engineering Experience Around 25 years experience in software engineering, with at least 12 years working with AI/ML or Generative AI in a commercial setting. Solid Programming Foundations Strong skills in Python and/or JavaScript , with a good understanding of APIs, data ...

systems and machine-learning environments. Required Experience Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and DevOps. Proven track record designing, scaling, and maintaining distributed systems and high-volume data pipelines. Strong background in cloud-native architectures and modern … data stacks such as Spark or Databricks. Experience working closely with Data Science teams, including delivering production-grade ML models and pipelines. Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide cross-functional technical decisions. Robust DevOps knowledge, including CI/CD pipelines, container orchestration, monitoring, reliability ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking. On behalf of this organisation, AMS are looking for a Graph, ML Data Scientist for a contract due to run until December 2026 based in either the London or Edinburgh office on a hybrid working model. Purpose … role: The Graph, ML Data Scientist will specialise in leveraging graphical models (such as Bayesian networks and Markov models) and probabilistic reasoning techniques to uncover insights from complex data sets using advanced data analysis and predictive modelling. What you'll do: Design, develop and deploy advanced graph analytics models ...

satisfaction from day one. Experience in building reusable AI components and frameworks for enterprise-scale deployments.Your CV must evidence strong proficiency in Python and ML frameworks (TensorFlow, PyTorch). You will have strong statistical and analytical skills. You will be experienced in a wide range of Data Science techniques (e.g. … ML, Optimisation, Simulation, GenAI, etc.). You will have demonstrated an ability to take models from design through to production deployment, including performance optimisation, monitoring, and integration into business workflows beyond proof-of-concept or prototype stages. You will have significant experience in similar operational research roles, with a proven ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

growing our AI capabilities, and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … below work as part of the team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions. Data & Insights – partnering with product, operations or customer-facing teams to understand real problems AI can help solve. Customer Experience ...

concept solutions, MVPs and prototype demonstrations within short innovation cycles Lead technical delivery during workshops, discovery sessions and innovation sprints Build and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based models Develop lightweight APIs within serverless or PaaS … Django Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases Experience working with microservices or serverless architectures Practical exposure to machine learning plus generative AI models including LLMs SLMs vision models Familiarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworks Hands ...

Software AI Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Cheltenham. Working at the forefront of national security innovation this Software AI Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready … would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect ...

opportunity to work on a wide range of technically challenging projects, including large-scale data processing systems, enterprise applications, mobile applications and cutting-edge machine learning solutions. You’ll be joining a collaborative, supportive and highly skilled team within a friendly, family-run environment. As a Software Developer … team Example Projects Real-time IoT systems communicating via GPRS Complex reporting and scheduling platforms Large-scale, data-driven systems Rich data analysis, machine learning, and AI solutions Backend integrations with CRM and financial systems Required Skills & Experience Strong commercial experience with C# .NET Core (essential) Proven experience ...

code reviews to ensure robust contributions like suggesting extra tests, spotting inconsistencies and helping resolve problems. The Player A postgraduate qualification in Data Science, Machine Learning, Statistics, Mathematics or a closely related quantitative field. 3+ years of working experience or a PhD in a quantitative field. Advanced programming … models for sports. A good understanding of betting concepts and markets. Desirable Qualifications 2+ years working experience in the betting industry. Knowledge of modern Machine Learning methodologies (e.g. Neural Networks, Random Forests, GBMs, SVMs etc.). Experience with cloud computing services. Experience with version control platforms (e.g. GitHub ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

Inference Group is a fast-growing data and AI consultancy dedicated to helping organisations unlock their true potential through the transformative power of data, machine learning, and AI. We work with customers worldwide to turn cutting-edge ideas into scalable, operational solutions that enhance human decision-making … deep technical expertise with a practical, delivery-focused mindset. As we grow, we’re looking for like-minded people who are excited by lifelong learning, eager to challenge existing ways of working, and motivated to make a real impact in an AI-driven world. Role Overview We’re looking ...

edge data platforms. Engineer enterprise-level data pipelines and optimise ETL processes. Develop workflows and decision-support tools that transform operations. Integrate AI and machine learning into client systems, ensuring measurable outcomes. Partner with senior stakeholders to translate business needs into technical solutions. Set engineering standards, champion best … engineering, ETL pipelines, and workflow design at scale. Proven track record of leading projects and mentoring teams in client-facing environments. Passion for AI, machine learning, and translating emerging technologies into real-world impact. Exceptional problem-solving, communication, and stakeholder management skills. Curiosity, adaptability, and a drive ...

optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions. Monitor, troubleshoot … Quicksuite, and AWS SageMaker. Strong programming skills in Python, Java, or similar languages commonly used for AI and automation. Experience in designing and operationalising machine learning models in a production environment. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting. Strong communication ...

vector search technology. Collaborate with cross-functional teams to integrate AI models into products. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to improve existing AI systems and develop new approaches. Knowledge of NLP, computer vision, or reinforcement learning. Experience deploying … models in production environments. Your Profile Essential Skills/Knowledge/Experience Proven experience in AI, machine learning, or deep learning. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc. ...

data pipelines and ETL processes. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate on AI and machine learning models applied to real-world challenges. Technical Excellence: Deliver scalable, reliable software solutions using Python, SQL, and TypeScript. Grow & Share: Mentor peers … technologies (Foundry, Gotham, or similar) is preferred but not essential . Solid understanding of data engineering, ETL pipelines, and workflow design. Passion for AI, machine learning, and emerging technologies. Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. Work ...

engineering, and analytics, translating strategic goals into clear product outcomes and actionable backlogs. You'll own the roadmap for data products that enable analytics, machine learning, and data-driven decision-making at scale. Key Responsibilities Own and manage the product vision, roadmap, and backlog for data platform capabilities … Ensure data products are scalable, secure, cost-efficient, and aligned with best practices Drive adoption and value realisation of Databricks (e.g. data engineering, analytics, ML use cases) Collaborate with engineering teams to plan sprints, manage dependencies, and remove blockers Balance short-term delivery with long-term platform strategy Monitor platform ...

ML ENGINEER UP TO £80,000 + BENEFITS HYBRID - CHESTER If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment … customer-facing AI products. With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML/AI Engineering ...