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Senior AI Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: SR2 REC LTD
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Cloud Computing
Job Description & How to Apply Below
Location: Greater London

Overview

Senior AI Engineer - Python & MLOps

We're partnering with a fast-growing AI product company that is building advanced machine learning solutions  their platform matures, they're looking for a Senior AI Platform Engineer to focus on the infrastructure, tooling and reliability that underpins production AI systems. This role is 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, Dev Ops 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 (Git Hub Actions, Git Lab 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

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.

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Position Requirements
10+ Years work experience
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