MLOps Engineer
Marc Daniels · Civil Engineer · viaReed
£75,000 - £85,000 per annum
- Closing date
- 29 Oct 2026
- Posted
- 11d ago
- Specialism
- Civil Engineer
- Sector
- Construction
- Reference
- reed-57424650
This advert was published by Reed and is shown here for reference. BOQQS did not take this listing directly from the employer. View the original on Reed
Senior MLOps Engineer
London (Hybrid) | £75,000 - £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role
- Own and develop the MLOps infrastructure supporting AI services.
- Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
- Deploy and manage ML workloads on Kubernetes and cloud platforms.
- Implement CI/CD, observability, and monitoring across production systems.
- Develop infrastructure using Terraform, Bicep, or similar IaC tools.
- Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.
Your Skills & Experience
- Strong Python software engineering skills.
- Commercial MLOps experience in production environments.
- Hands-on Kubernetes expertise.
- Experience with workflow orchestration platforms.
- Infrastructure as Code and CI/CD experience.
- Understanding of production ML, NLP, or AI systems.
What you need to do now
Applications are handled by Marc Daniels on their own site — BOQQS does not collect CVs or hold your application. This listing closes on 29 Oct 2026.
Apply now