Machine Learning Engineer

Senior AI Platform Engineer (MLOps / ML Infrastructure)Location: Bristol (On-Site)Job Type: Full-Time, PermanentSalary: Dependent on Experience (DOE)The OpportunityOur client is building next-generation intelligent robotic systems and is seeking a Senior AI Platform Engineer to own and scale the machine learning infrastructure that powers training, deployment and continuous improvement of advanced AI capabilities.This role sits at the intersection of cloud infrastructure, machine learning operations, data engineering and robotics, offering a unique opportunity to shape how advanced AI systems are developed and deployed at scale.The RoleYou''ll be responsible for building the infrastructure and workflows that connect data collection, training, evaluation, deployment and fleet management into a seamless platform.Working closely with AI researchers and robotics engineers, you''ll transform complex machine learning workflows into scalable, production-ready systems.Key ResponsibilitiesBuild and maintain scalable ML infrastructureDevelop containerised training environmentsManage cloud GPU orchestration and distributed trainingImplement experiment tracking and model registriesBuild automated data processing pipelinesDevelop model evaluation and deployment workflowsImprove developer experience for ML teamsExtend CI/CD with ML-specific validation and testingAutomate infrastructure provisioning and deploymentRequirementsDegree in Computer Science, Software Engineering or related ..... full job details .....