AI Platform Engineer

We're working with a client who is building out core AI/ML and MLOps capabilities to better support data science teams across commercial, manufacturing, and quality use cases.

They're looking for an experienced AI/ML Platform Engineer to help design and implement the foundations, covering experimentation, training environments, data pipelines, and deployment workflows. This is a hands-on contract role with a strong focus on delivery.

What you'll be working on

• Setting up and improving MLflow for experiment tracking and model registry
• Building and supporting AWS SageMaker environments for model training and experimentation
• Developing ETL / data ingestion pipelines, using tools such as Dagster or Argo
• Putting in place standard MLOps tooling, including CI/CD and container-based workflows
• Working with PostgreSQL + pgvector to support vector and embedding-based use cases
• Building secure APIs to integrate ML services with existing enterprise systems.

Future work

Depending on priorities, this may extend into:

• Feature store work
• Model and data repositories
• Synthetic data generation
• Model evaluation and monitoring frameworks
• Explainability tooling

Essential

• Strong experience in MLOps / ML platform engineering
• Solid Python skills
• Hands-on experience with AWS, particularly SageMaker and S3
• Experience with Docker and CI/CD pipelines
• Background building or maintaining ETL / orchestration workflows
• Experience using MLflow or a similar experiment tracking/ model registry tool

Nice to have

• Experience with vector databases or embeddings
• PostgreSQL experience
• Exposure to feature stores or model lifecycle tooling

Additional info

• Hybrid working: 1 day per week on-site in London
• Outside IR35
• Quick turnaround with a single-stage interview process
• Rate: £900 per day (Outside IR35)
• Start Date: ASAP
• Interview Process: 1-stage interview