Senior Machine Learning Engineer in London
New Yesterday
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Job Description
Senior Machine Learning Engineer
x2 days a week in the office (can be reduced to x1 day sometimes)
About the Role & Company
Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML / AI.
With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making.
As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale.
Key Responsibilities
Build, deploy and maintain machine learning models as APIs, streams, and batch services
Partner with Data Scientists to industrialise prototypes into production-ready applications
Lead on observability, CI/CD automation, and monitoring for ML workflows
Develop cloud- infrastructure using Docker, Kubernetes, and Terraform
Contribute to shared ML tooling and experimentation platforms
Ensure best practices in model testing, rollback, and deployment hygiene
Work across technical and compliance teams to ensure governance and risk controls
Requirements
3–5 years’ experience in machine learning engineering and/or applied data science
Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.)
Strong Python coding skills for production systems
Proven experience deploying models in real-world environments (API, batch, streaming)
Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes)
Experience working in cloud environments (AWS ; Terraform a bonus)
Strong communication skills and interest in the latest ML/AI developments
Comfortable in collaborative, cross-functional teams with fast iteration cycles
If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
- Location:
- London
- Job Type:
- FullTime
