9 of 9 Permanent Machine Learning Jobs in West End of London

only four strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform, and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues … ensure data is leveraged effectively and responsibly.What will I be doing?Applying advanced analytics, visualisation, and data science techniques to business challengesDeveloping and deploying machine learning models and statistical solutionsWriting efficient SQL and prototyping new metricsStructuring large, ill-defined problems into clear, actionable solutionsCollaborating with teams to deliver ...

only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues … tools (for example Azure, Databricks, Power BI or Tableau).A collaborative and inclusive leadership approach, with curiosity about emerging technologies such as AI and machine learning and how they can be applied responsibly.Additional informationWe're always looking to recognise and reward our employees for the work they do. ...

help embed AI across the organisation and deliver solutions that drive measurable outcomes.What will I be doing?Design, build, and deploy scalable AI and ML models using GenAI, LLMs, and orchestration frameworks.Develop robust backend systems in Python, optimised for cloud-native environments and production use.Implement MLOps best practices including … inference.Ensure all AI systems are secure, ethical, and aligned with responsible AI governance standards.What do I need?Strong hands-on experience within AI/ML engineering, with a strong track record of building and deploying real-world GenAI applications.Proficient in Python and experienced in developing scalable, cloud-native backend systems.Solid ...

Nice to Have but not essential: Experience with event-driven architectures and NextJS/NodeJS build environments. Experience supporting data pipelines or AI/ML workloads. Background in startup environments and exposure to security frameworks or compliance processes. Benefits: Hybrid working model (minimum 3 days a week in office). ...

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 ...

literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality ...

literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality ...

literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality ...

secure coding standards. Collaborate with the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance within the team. Troubleshoot and resolve complex technical issues, ensuring platform reliability and uptime. Required Skills & Qualifications: 8+ years of commercial … design. Hands-on experience with AWS platform. Excellent communication skills, capable of motivating and aligning technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: Exposure to startup environments. Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank ...