76 to 100 of 3,211 Machine Learning Jobs in the UK

platform, application, operations, and business teams, the successful candidate will establish engineering patterns and integration capabilities that support critical business systems, regulatory reporting, analytics, machine learning, and AI-driven solutions. This is a hands-on engineering role requiring strong technical leadership, a passion for automation and operational excellence … friction access to data across the organisation. Design and implement resilient data ingestion, orchestration, and provisioning solutions to support operational, regulatory, analytical, machine learning, and AI-driven use cases. Deliver service-based and event-driven integration capabilities using APIs, API Gateways, event streaming, webhooks, and other enterprise integration ...

track record of shipping models to production and supporting them post-deployment.* Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms … testing, and monitoring to support reliable model deployment and maintenance.* Experience with TypeScript, particularly for building or contributing to production services and APIs alongside ML systems.**EDUCATION** Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience.**WHAT ...

design and data processing pipelines Experience working with data and analytics platforms, including visualization and large‐scale data handling Exposure to or experience with Machine Learning and/or Generative AI (LLMs) and their practical application in products Strong understanding of DevOps practices, CI/CD pipelines ...

monitoring using tools like Langfuse, Arize, and OpenTelemetry Contribute to architecture decisions and technical standards across engagements Requirements 6+ years in AI/ML engineering, data science, or applied AI roles within professional services or enterprise environments Proven experience building and deploying Generative AI and Agentic AI solutions into production … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on‐site massages and regular social events Learning and development opportunities including in‐house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI capabilities. As part of an expanding team, the business is delivering a range … learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with ...

customer facing setting Passion for technology and a desire to grow and contribute to the Databricks community Deep familiarity with Databricks features including AI, ML, Engineering and Analytics features 7+ years consulting (or equivalent) experience required 7+ years Databricks solution design, implementation, engineering experience required Either 5+ years building data … Databricks using PySpark, Scala and/or Spark SQL and ability to work across structured, semi-structured and unstructured data OR 5+ years ML Engineering or AI Engineering deploying, promoting and serving ML models, building feature stores, building RAG chatbot or other AI systems Hands on, working, knowledge of Databricks ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

working within Agile delivery environments Desirable Experience: Cloud certifications (Azure, AWS, or GCP) TOGAF, DAMA CDMP, or Data Engineering certifications Experience with AI/ML platforms or MLOps Exposure to Data Mesh or Data Fabric architectures Enterprise Architecture experience Experience within Aerospace, Defence, Manufacturing, or other highly regulated industries ...

Experience in building platforms delivering structured products, including pricing and distribution Experience with quantitative modelling and derivatives pricing Hands-on experience with AI/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP-based orchestration Expertise in relational and/or NoSQL databases, data pipelines ...

understand our customers, we understand their pain, and we are passionate about helping them. Check out this blog on Isabelle's journey in ML at Cleo. What you'll be doing Training and fine-tuning models to solve customer problems across our chatbot and the bank transaction data behind it. … Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog:Let's have an Espresso: MLOps at Cleo . Or integrate with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others. Working cross-functionally with backend engineers, data analysts ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … Design, implement, and optimize AI agents for various applications, including customer service, supply chain optimization, recommendation systems, and internal operations.Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality ...

Senior AI/ML Computational Scientist YOU ARE If you're a senior AI/ML Computational Scientist, you will design, build, and operationalize AI and ML solutions for enterprise clients, combining custom models with cloud and third‐party AI services to deliver production-ready outcomes. Your role spans … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks. Established experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks ...

products and solutions at the cutting edge of machine learning and AI. We are looking for a Director of AI/ML Engineering to lead a team focused on clinical AI. In this role you will lead a high-performing team of ML Engineers to design, develop … deploy production‐grade AI/ML products that accelerate GSK’s drug development programs. You will be accountable for building end‐to‐end clinical AI/ML solutions—from problem framing and data strategy, through model development and validation, to deployment and lifecycle management in production environments that support clinical ...

Business One Team, Keep it Simple, Grow & Learn, Sustainable Impact. Why This Role Stands Out Innovation: Work hands‐on with cutting‐edge AI/ML tools and techniques to deliver real business impact. Leadership: Mentor and collaborate with talented engineers, data scientists, and product teams. Culture: People‐first, values‐driven … core. Impact: Shape AI‐driven solutions that directly improve customer experience and business decisions. About the Role As a Senior AI/ML Engineer, you’ll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines ...

Applied AI/ML Lead – Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting‐edge AI techniques with the company’s unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance … role is initially that of an individual contributor. Job responsibilities Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise‐wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi‐agent systems ...

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … that identify, categorize, and assess sustainability risks Own cross-team projects end-to-end, from research and experimentation through production deployment Research and train ML models that help investors assess and manage sustainability risks Design and build real-time NLP pipelines using large language models Develop evaluation frameworks and annotation ...

Senior ML Research Engineer - Sustainable Finance Location: London Business Area: Engineering and CTO Ref #: 10052491 Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions … uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer on the AI Sustainable Finance team, you will be working on exciting initiatives such as real‐time controversies detection from news, greenhouse ...

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. … remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. We’re looking for an AI & ML Engineer who is passionate about building production‐ready AI and machine learning solutions. You'll work across a variety ...

looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost … solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. We're looking for an AI & ML Engineer who is passionate about building ...

London‐based team. Core Technical Qualifications: Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern ...

Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical … hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning ...

forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guideand … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI/ML models, including time series ...

experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling … Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your ...