About this role
Salary: £100,000 - 100,000 per year
Requirements: Strong Python skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch.Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes).Recognised technical expert with deep ML knowledge and broad problem-solving ability.Excellent communicator, guiding teams and clients to deliver impactful AI solutions. Responsibilities: Set the technical direction for complex ML projects, balancing trade-offs and guiding team priorities.Design, implement, and maintain reliable, scalable ML systems, making sound architectural decisions.Define project problems, develop roadmaps, and oversee delivery across multiple workstreams.Build reusable ML tools and libraries and guide the team in applying them effectively across projects.Lead hiring, mentor team members, and foster technical growth and collaboration.Advise clients as a technical expert, providing estimates and rationale for high-impact work. Technologies: AIAWSAzureCloudDockerGCPKubernetesMachine LearningPyTorchPythonTensorFlowSecurity More:
We are seeking a Lead Machine Learning Engineer to join our team in London with a hybrid work model. In this hands-on role, youll drive the technical direction of complex AI projects, blending your deep technical expertise with leadership to foster team growth and deliver high-impact AI outcomes. We offer a competitive salary, unlimited holidays, and private medical and dental cover.
last updated 30 week of 2026