3 of 3 MLflow Jobs in the City of London

building simple data pipelines or transformation workflows is a plus. Exposure to ML Ops or production systems (nice to have) Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP). Experience deploying models via APIs or lightweight services is a bonus, not a requirement. Software ...

Python (expert), C++ for inference (strong — Android NDK), Swift and Kotlin awareness (basic — enough to understand integration surface), Git/CI/CD, Docker, MLflow/W&B. Required Skills Expertise in machine learning frameworks, computer vision, signal processing, model optimisation, and programming languages as detailed above. Preferred Skills Experience ...

models. The focus of the role is building and enabling production-grade ML environments rather than model development itself. Candidates must have deep MLflow experience and proven delivery in real-world client settings. Key Responsibilities Design, build, and maintain end-to-end MLOps environments to support model training, tracking, deployment … monitoring Implement MLflow for: Experiment tracking; Model registry; Model versioning and lifecycle management Enable model deployment into production (batch and/or real-time) with robust CI/CD Work closely with Data Scientists to transition models from experimentation to production Build scalable, secure, and reproducible ML platforms Establish best ...