11 of 11 Remote Machine Learning Jobs in Hertfordshire

with team leadership responsibilities. Extensive knowledge of the Azure analytics ecosystem and core Azure data technologies. Strong programming skills in C#, SQL, PowerShell, and Python. Experience in AI/ML implementation within Azure environments. Confidence in both strategic planning and hands-on delivery. Strong stakeholder engagement skills and experience in Agile environments. Technical credibility in architectural decision-making and governance More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

Placement Overview: Designing, building, and deploying data analyses and predictive models for scientific discovery in GSK's research areas. Implementing and benchmarking computational methods leveraging cloud and AI/ML technologies to inform early target and medicine discovery decisions. Key Placement Learnings: Perform analyses and build predictive models using R and Python, following coding best practices and using cloud platforms. … to discover better and safer small molecule medicines, using modern and generative models, 2D/3D modelling, quantum mechanics and molecular simulation. Work with diverse research interests including cheminformatics, ML, explainable AI, uncertainty estimation, transfer learning and generative design using large internal molecular datasets. Key Placement Learnings: Conduct data analysis and visualization with cutting edge tools. Contribute code to … ML platforms and models developed on site. Implement and evaluate novel methods for automated design platforms. Utilize datasets from bioactivity, physical chemistry properties, DMPK and Toxicology. Role 4 - Laboratory Automation Degree requirements: Engineering, Computer Science, Life Sciences (e.g., Chemistry, Biology) or related Placement Overview: Design, build, and deploy automation systems and robotics for complex scientific use cases. Automate laboratory processes More ❯