Senior AI Engineer – Python & MLOps

We’re partnering with a fast-growing AI product company that is building advanced machine learning solutions at scale. As their platform matures, they’re now looking for a Senior AI Platform Engineer to focus on the infrastructure, tooling and reliability that underpins production AI systems.

This is a role for someone who enjoys engineering robust ML platforms rather than purely building models – enabling data scientists and ML engineers to deploy, monitor and scale AI workloads efficiently.

The Role
You’ll take ownership of the AI platform layer, designing and improving the systems that allow machine learning models to move from experimentation to reliable production services. Working closely with ML Engineers, DevOps and backend teams, you’ll ensure AI workloads are scalable, observable and secure.

Key responsibilities

• Design and maintain ML infrastructure and model deployment frameworks
• Build and optimise CI/CD pipelines for ML workflows
• Implement monitoring, logging and observability for production models
• Improve reproducibility, versioning and governance of models and datasets
• Containerise and orchestrate ML services in cloud-native environments
• Support performance tuning and cost optimisation of AI workloads

Essential

• Strong Python engineering background
• Proven experience in MLOps or ML platform engineering
• Experience with Docker and Kubernetes in production environments
• Strong knowledge of cloud platforms (AWS, Azure or GCP)
• Experience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins etc.)
• Understanding of model lifecycle management and deployment strategies

Desirable

• Experience with MLflow, Kubeflow, Airflow or similar tooling
• Familiarity with feature stores and data versioning tools
• Knowledge of LLM deployment or large-scale inference systems
• Experience working in high-growth or product-led environments

The Details
Contract role
IR35 status: Outside IR35
Rate: 550-600p/d
Location: Remote

If you’re passionate about building the platforms that power AI at scale and want to work in a genuinely AI-first organisation, apply now or reach out for a confidential discussion.