17 of 17 Machine Learning Jobs in West London

turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation … and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring: You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code. … PhD in related subjects. Extensive machine learning research background and experiences. Academic publications in machine learning related conferences or journals. ML product development experiences for content discovery on large scale customer-facing clients/devices. Team overview: Global Product We're the Global Product. We're More ❯

events globally, developing new experiences and insights that power the future of sports. In this role, you will: Deliver at scale: Build and deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for … Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at … scale. Nice to Have: Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you More ❯

be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most … offers from leading retailers, travel groups and entertainment companies Enhanced maternity and paternity leave Grandparents leave Income protection Access to Saga Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. Collaboration with Stakeholders: Working closely with business stakeholders and technical More ❯

Working from their central London office, the Software Architect will be responsible for the overall software development strategy and execution, with a focus on Machine Learning projects. This role would be well suited to an experienced Software Architect with experience managing a small team and a strong knowledge … Bachelors degree in Computer Science or related field Experience in a leadership role within a software engineering environment Track record of developing and delivering Machine Learning projects Experience in developing and delivering internet services (cloud) Excellent knowledge of sports data services within the sports betting industry Strong problem … rust, javascript/typescript, github/gitlab, django, mongodb (or other nosql), mysql/postgres, react/react-native, Node.js, wordpress, tensorflow, jupyter, colab, ML feature stores, dashboards, monitoring More ❯

impact on the world of sport. The Opportunity: They are now looking for an Applied Researcher/Data Scientist to join a high-performing Machine Learning team that's building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques … to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology. What You'll Do: Design, build, and deploy scalable ML systems used in live sports scenarios across 40+ sports and thousands of events globally. Collaborate closely with engineers and data scientists to develop end-to … learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at scale. Excellent communication skills with the ability to explain technical concepts clearly to cross-functional teams. Have experience leading More ❯

applications that integrate with data workflows. Understanding of Microsoft Co-Pilot and AI-driven analytics for enhancing data insights and decision-making. Exposure to machine learning or advanced analytics techniques is a plus. Why Join Us? Be part of a forward-thinking team, helping to build the culture More ❯

and Adobe Target. Ensure experiments are operationally sound, statistically rigorous, and aligned with business objectives. Develop audience strategies using both rule-based segmentation and machine learning models to identify high-value customer groups. Share key learnings and success stories to scale impact across British Airways. Contribute to a More ❯

are interested in speaking with you: Python/Flask/FastAPI Terraform/GCP/AWS React/JavaScript/TypeScript Understanding of AI & ML and how to apply this to a product engineering role. If you're interested in this role, apply through the AD to find out more More ❯

Experience in fast-paced, agile environments Comfortable with DevOps tooling and best practices Bonus points if you’ve worked in or around AI/ML teams or product-led orgs REQUIRES BRITISH CITIZENSHIP OR ILR Interested in the role? Please apply directly to this advert, you can also schedule a More ❯

pros and cons of each for a given use case. Ability to ideate, design and develop large-scale SaaS architectures from scratch. Experience with machine learning frameworks and tools. Strong understanding of cloud platforms (e.g., AWS, Azure). Familiarity with database design and management (SQL, NoSQL). Why More ❯

pros and cons of each for a given use case. Ability to ideate, design and develop large-scale SaaS architectures from scratch. Experience with machine learning frameworks and tools. Strong understanding of cloud platforms (e.g., AWS, Azure). Familiarity with database design and management (SQL, NoSQL). Why More ❯

regional change initiatives. Location Base options: Stockley Park, UK or Cork, Ireland Key Responsibilities Solutions Excellence: Drive digital transformation initiatives, identify innovative technologies (AI, machine learning, automation), and develop multi-year digital roadmaps in collaboration with IT and other departments. Technology Integration & Operations: Oversee integration and optimization of More ❯

platform. Key highlights: Full lifecycle ownership in a greenfield product Exposure to innovative development approaches and emerging technologies Opportunities to branch into AI/ML methodologies Influence over architecture, tooling, and design decisions Some of their benefits: Comprehensive Private Health Insurance 10% Annual Bonus 25 Days Annual Leave + Bank More ❯

relational/non-relational databases A proactive, product-minded approach with a desire to move fast Really nice to have - Interest in AI/ML concepts and modern API tools (GraphQL, tRPC , etc.) Location: Remote within Europe - quarterly team meetings in London. This role does not provide sponsorship and you More ❯

Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable Experience with finance-related data marts (e.g. forecasting, P&L) Exposure to predictive analytics and building machine learning-ready datasets Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking More ❯

Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable Experience with finance-related data marts (e.g. forecasting, P&L) Exposure to predictive analytics and building machine learning-ready datasets Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking More ❯

Engineering Manager – AI/ML (Computer Vision Focus) Up to £120/130k + bonus + shares Remote-first – occasional travel to London Innovating real-time AI in a world-class SportsTech environment I'm working with a pioneering company in the SportsTech industry that's scaling their AI capabilities … to push the boundaries of real-time computer vision applications. As part of this growth, they're looking for an Engineering Manager – AI/ML to lead a talented team of 11 engineers in building next-gen Computer Vision and AI solutions. This role is ideal for someone with strong … while fostering engineering best practices and a strong, collaborative culture. What you'll be doing: Lead and grow a team of 11 AI/ML engineers, primarily focused on computer vision. Drive architectural decisions and technical direction across real-time AI systems. Work closely with senior stakeholders to align engineering More ❯