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

We’re supporting a mission‑driven organization building systems that process and verify complex open‑source information. They’re expanding their AI/ML engineering team, focused on turning ML and LLM models into production‑grade services that operate reliably on complex datasets.

This is a hands‑on production engineering role. You will deploy ML/LLM models into real‑world systems, ensuring reliability, scalability, and performance.

• 
  
• Deploy ML and LLM models into AWS‑hosted production environments (SageMaker, Bedrock, Lambda, ECS, API Gateway)
  
• Build and maintain scalable pipelines for training, validation, deployment, and monitoring.
  
• Work with complex, heterogeneous datasets, ensuring data quality and reliability across multiple sources.
  
• Expose model outputs via high-performance Python APIs (FastAPI preferred)
  
• Implement CI/CD processes for ML pipelines, including automated testing and deployment.
  
• Monitor models in production: drift detection, performance metrics, logging, and observability.
  
• Collaborate with data scientists, platform engineers, and analysts to operationalise experimental models.
  
• Contribute to architecture, tooling, and best practices for production ML workflows.
  
• Optional/bonus: familiarity with cloud data stores (DynamoDB, OpenSearch, BigTable) or infrastructure as code (Terraform).
  

• 
  
• Hands‑on experience taking ML or LLM models into production, ideally on AWS.
  
• Comfortable working with complex datasets, integrating multiple sources, and ensuring quality and reliability.
  
• Strong Python engineering skills; experience with FastAPI or similar frameworks.
  
• Experience in CI/CD, monitoring, and observability for ML pipelines.
  
• Strong problem‑solving, communication, and collaboration skills.
  
• Familiarity with Terraform, serverless architectures, or cloud data stores (DynamoDB, OpenSearch) is a plus, not essential.
  
• Life cover.
  
• Enhanced pension plan.
  
• Bupa private medical insurance.
  
• Enhanced maternity/paternity leave.
  
• Enhanced annual leave plus wellbeing leave.
  

This a permeant role and applicants must have the right to work in the UK; unfortunately sponsorship is not available at this time.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Information Services and Software Development

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