Senior ML / MLOps Engineer (AWS, SageMaker, LLM, Data Pipelines)

Salary: £75,000 – £85,000 + 15% bonus

Location: Hybrid – Manchester or London (2 days per week in the office)

Join a mission-driven team building systems that process and verify complex open-source intelligence. You’ll work on production-grade ML and LLM pipelines operating on challenging datasets, delivering reliable, scalable, and observable solutions.

What you’ll do

• Deploy ML and LLM models into AWS production environments (SageMaker, Bedrock, Lambda, ECS, API Gateway)
• Design and maintain scalable data pipelines for training, validation, deployment, and monitoring
• Ensure data quality and reliability across multiple sources, including structured, NoSQL, and graph datasets
• Build high-performance APIs to expose model outputs (FastAPI preferred)
• Implement CI/CD processes for ML pipelines, including automated testing, deployment, and monitoring
• Collaborate with data scientists, analysts, and platform engineers to operationalise models
• Contribute to architecture, tooling, and best practices for production ML workflows

Must-have

• Senior experience deploying ML or LLM models in production
• Strong Python engineering skills (FastAPI or similar frameworks)
• AWS experience: SageMake...