3 of 3 Permanent Machine Learning Jobs in West End of London

MLOps Engineer - £100K - Fully Remote

Hiring Organisation
Oliver Bernard
Location
Central London / West End, London, United Kingdom
looking to hire an MLOps Engineer. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include … design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks ...

DevOps Engineer - MLOps - Fully Remote

Hiring Organisation
Oliver Bernard
Location
Central London / West End, London, United Kingdom
KubeFlow and Kubernetes. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include … design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks ...

Senior Software Developer (Full Stack)

Hiring Organisation
Reed
Location
Holborn, London, England, United Kingdom
Employment Type
Full-Time
Salary
£80,000 - £95,000 per annum, Inc benefits
secure coding standards. Collaborate with the Lead Full Stack Developer 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: 10+ years of commercial software … 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 ...