4 of 4 Contract MLflow Jobs in England

Senior MLOps Engineer

Hiring Organisation
Pro Contract Jobs Ltd
Location
Surrey, South East, United Kingdom
Employment Type
Contract
Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines, including MLflow, Azure ML, Azure DevOps, or similar tools. Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn, TensorFlow, and Keras. Experience implementing ...

AI Engineer

Hiring Organisation
Robert Half
Location
London, South East, England, United Kingdom
Employment Type
Contractor
Contract Rate
Salary negotiable
Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company ...

Data Science Lead

Hiring Organisation
Chroma Recruitment Ltd
Location
Manchester, North West, United Kingdom
Employment Type
Contract, Work From Home
experience with Databricks in a production or enterprise setting Experience with ML pipelines, version control (Git), and CI/CD workflows Exposure to MLflow or similar model tracking/deployment tools Strong foundation in statistics, probability, linear algebra, and applied mathematics Experience delivering models such as: Churn prediction models Customer ...

Platform Engineer

Hiring Organisation
Chroma Recruitment Ltd
Location
Manchester, North West, United Kingdom
Employment Type
Contract
Knowledge of Unity Catalog, governance, RBAC and platform security Experience improving platform reliability, scalability and developer experience Desirable: Databricks Asset Bundles (DABs) Azure DevOps, MLflow and MLOps exposure This role will focus on building scalable platform capabilities, enabling domain-led data products, and driving best practice across a modern data ...