Data Engineer

MLOps Engineer – Contract (Glasgow / Hybrid)

We are looking for an experienced MLOps Engineer to join a large-scale data and machine learning programme within a regulated enterprise environment.

This is a long-term contract opportunity for someone who enjoys building robust, production-grade ML platforms on AWS and working closely with data science and engineering teams.

This role is hybrid, with 2–3 days per week on site in Glasgow, and will run until December 2026.

• Location:
  
  Glasgow (hybrid)
• Security clearance: BPSS eligibility required

What you will be doing:

• Designing and automating scalable ML infrastructure using AWS-native services and infrastructure as code
• Building, deploying, and managing machine learning models across their full lifecycle
• Creating and optimising data pipelines using distributed processing frameworks
• Developing serverless automation and Python-based services
• Implementing best-practice MLOps processes, including CI/CD for models and pipelines
• Putting monitoring in place for model performance, drift, and reliability
• Ensuring ML workloads are secure, compliant, and production-ready
• Collaborating with data scientists, data engineers, and cloud teams to ope rationalise ML solutions

What I’m looking for:

• Strong hands-on experience in MLOps, ML engineering, or cloud automation
• Deep experience with AWS, particularly:
• Cloud Formation (infrastructure as code)
• Glue and Spark for ETL and large-scale data processing
• Lambda, S3, IAM, KMS, Cloud Watch
• Strong Python skills for ML and data workflows
• Solid understanding of the full ML lifecycle, from data preparation through to deployment and monitoring
• Experience building CI/CD pipelines for machine learning workloads
• Familiarity with common ML frameworks such as Tensor Flow, PyTorch, or Scikit-learn

If this sounds like something you’d be interested in, feel free to reach out or apply directly.