276 to 300 of 457 Machine Learning Jobs in London

Strong stakeholder management Experience leading enterprise-scale data transformation programmes Nice To Have Azure certifications Experience with Kafka or Event Hubs Exposure to AI, ML or advanced analytics platforms Cloud migration and legacy platform modernisation experience This is an opportunity to play a key role in a major data transformation ...

SaaS products Ability to design clean, usable UIs for complex workflows Strong understanding of modern front-end engineering practices Genuine interest in AI/ML products and how users interact with them Hands-on experience using AI coding tools (e.g., Copilot, Cursor, Claude, Codex) Nice to have: Experience with Python ...

evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading and developing architecture teams ...

build with them responsibly/li/ul h3 Preferrable but not essential/h3 ul li Experience building AI or ML powered products/li li Familiarity with AI risk frameworks or regulatory requirements such as the EU AI Act or FCA guidance/li li Experience with ...

operate autonomously Confident working in fast-moving, ambiguous environments Nice to Have Exposure to Power BI and modern reporting ecosystems Awareness of AI/ML concepts within data platforms Experience working within fintech or digital banking environments Team & Environment Flexible hybrid working model at the London office Occasional client travel ...

communication skills for both technical and business audiences Cloud Knowledge: Understanding of core cloud services relevant to sports workloads (compute, storage, databases, analytics, ML/AI, security) Familiarity with cloud partner ecosystems and Professional Services capabilities Ability to connect customer business challenges to cloud-based solutions Opportunity Development & Execution: Drive ...

communication skills for both technical and business audiences Cloud Knowledge: Understanding of core cloud services relevant to sports workloads (compute, storage, databases, analytics, ML/AI, security) Familiarity with cloud partner ecosystems and Professional Services capabilities Ability to connect customer business challenges to cloud-based solutions Opportunity Development & Execution: Drive ...

communication skills for both technical and business audiences Cloud Knowledge: Understanding of core cloud services relevant to sports workloads (compute, storage, databases, analytics, ML/AI, security) Familiarity with cloud partner ecosystems and Professional Services capabilities Ability to connect customer business challenges to cloud-based solutions Opportunity Development & Execution: Drive ...

relentless focus on achieving results. It would be great if you had Knowledge experience and in-depth understanding of tools like AI/ML, Digital Twins, etc as well as an appreciation of emerging technologies A good working knowledge of the technology landscape of the Energy Sector The experience ...

grade services using Python and AWS Develop high-throughput APIs and scalable data infrastructure Improve reliability, observability, performance, and operational efficiency Support AI and machine learning initiatives with strong data foundations Drive architecture decisions and modernisation strategies across the platform About you: You have strong experience with Python … data platforms, analytics infrastructure and ETL orchestration (they use Luigi so experience with that is beneficial) You have experience of moving data/ML solutions into production environments You have a strong understanding of scalability, latency, reliability and observability You're collaborative, comfortable mentoring others, provide technical direction and communicating ...

STEM subject such as Mathematics, Data Science, Computer Science, or similar Solid programming skills, ideally in Python Understanding of statistical modelling and machine learning fundamentals Hands-on experience through internships, placements, or personal projects Demonstrated curiosity and initiative, such as side projects or GitHub work Clear communication skills … business-critical models Fast career progression as the team continues to grow Work abroad flexibility for short periods each year Supportive environment with strong learning and development opportunities How to Apply If you are a graduate or early-career data scientist looking to make an impact in a high ...

active UK security clearance (SC minimum, Developed Vetting highly preferred). Technical Core: Deep background in software engineering, primarily utilising Python. AI/ML Domain: Practical commercial experience with generative AI, retrieval-augmented generation (RAG), modern AI frameworks, autonomous agents, and natural language processing. Infrastructure: Proficiency in cloud-first architectures … life-cycle autonomously, from initial concept to live deployment. Bonus Qualifications Currently active DV status. Hands-on familiarity with prominent open-source NLP and machine learning ecosystems. Full-stack capability using modern web technologies and backend languages. Strong foundational knowledge in advanced search and information retrieval systems. ...

data-driven decision making. The business operates at scale across multiple personal lines products and continues to invest significantly in modern data platforms and machine learning. Data science sits at the core of how the organisation prices risk and drives commercial strategy. THE ROLE This is a senior individual … practice across the data science community. YOUR SKILLS AND EXPERIENCE Strong experience in predictive modelling using Python and SQL. Hands-on experience with modern machine learning techniques such as gradient boosting methods. Proven ability to work with large-scale, complex datasets and translate ambiguity into clear analytical approaches. ...

advanced data science, geospatial, and innovative analytical methods. The division develops and operationalises cutting-edge tools, models, and analytical approaches, including generative AI, machine learning, advanced statistical methods, and modern GIS, to enhance public health decision-making, strengthen surveillance, and drive operational efficiency. For full details, please refer … aligned to organisational priorities. o Overseeing delivery of advanced analytical tools, methods, and services, including data science projects, geospatial systems, and innovative AI- and ML-driven approaches. o Ensuring effective stewardship of analytical standards, tooling, and infrastructure, modernising UKHSA's analytical ecosystem and promoting best practice across the agency. ...

Engineer to work on products used daily by leading global media and publishing organisations. Founded over a decade ago, the company builds data-driven, machine-learning-led products that operate at scale, helping publishers make smarter decisions around content, engagement, and audience growth. This is a hands ...

orchestration approaches Good SQL skills and experience working with structured and complex datasets Familiarity with embedding-based search or vector database technologies Exposure to machine learning concepts beyond LLMs A proactive approach to experimenting with new AI tools and frameworks Apply now to play a key role ...

data Comfortable working independently in evolving environments Nice to Have Python (forecasting, optimisation, modelling) Experience in pricing, revenue analytics, or commercial modelling Exposure to machine learning (e.g. scikit-learn) Ideal Backgrounds We're particularly interested in candidates from: Media/Audio/Digital Subscription businesses Advertising revenue environments ...

e.g., Telecoms, Big Tech) managing transactional data at scale. Desirable Skills Intelligent Automation: Exposure to integrating LLMs (e.g., Llama, OpenAI), prompt engineering, or supervised machine learning models for data classification. Modern Interface Awareness: Pragmatic understanding of UI/UX concepts to ensure backend services seamlessly align with high ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...