MLOps Engineer / Machine Learning Engineer

Salary: £? - ? per year

Requirements:

• Strong experience in MLOps or ML Engineering roles
• Proven experience with Docker and Kubernetes for containerisation
• Hands‑on experience with AWS and/or Google Cloud Platform
• Solid scripting skills in Python and Bash/Linux
• Experience building CI/CD pipelines using GitLab and YAML
• Understanding of DevSecOps principles and tooling
• Exposure to ML lifecycle tools such as MLflow and Airflow
• Ability to work in highly secure or air‑gapped environments
• Strong problem‑solving and collaboration skills
• MOD SC Clearance required, with additional enhanced vetting applying

Responsibilities:

• Develop and improve MLOps frameworks across multiple machine learning use cases
• Build and maintain CI/CD pipelines using GitLab and YAML
• Deploy and manage containerised applications using Docker and Kubernetes
• Implement DevSecOps practices, including security scanning and automated workflows
• Develop scripts in Python, Bash, and Linux environments to support automation
• Work within air‑gapped environments to ensure secure deployment of ML solutions
• Collaborate with data scientists to operationalise ML models
• Use MLflow and Airflow for model tracking and orchestration
• Support cloud‑based deployments across AWS and Google Cloud Platform
• Ensure performance, reliability, and scalability of machine learning systems

Technologies:

• AI
• Airflow
• AWS
• Bash
• CI/CD
• Cloud
• DevSecOps
• Docker
• GitLab
• Support
• Kubernetes
• Linux
• Machine Learning
• Python
• Security
• DevOps
• GCP

More:

We are a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment supporting advanced machine learning and MLOps capabilities across multiple use cases. The position is based in Portsmouth with a hybrid working model, requiring on‑site attendance two days every other week and remote working for the remainder. We offer exposure to cutting‑edge ML and AI initiatives, secure government programmes, and long‑term potential within a major consultancy client. The role is paid up to £537 per day, umbrella only, inside IR35.

last updated 25 week of 2026