Salary: £100,000 - 100,000 per year
Requirements
- 5 years experience in Platform Engineering / DevOps
- Strong experience with AWS and cloud-native architectures
- Proven knowledge of CI/CD, automation, and DevOps best practices
- Experience with Kubernetes / containerisation technologies
- Strong programming skills (e.g. Python, Go, Node.js)
- Experience with observability tools (e.g. OpenTelemetry, Datadog)
- Understanding of security, performance optimisation, and scalability
- Experience working on AI / ML platforms or deployments
- Exposure to large-scale distributed systems
- AWS certifications
Responsibilities
- Design, deploy, and manage AI platforms and agent infrastructure
- Build and maintain CI/CD pipelines and DevOps workflows
- Implement observability, monitoring, and logging solutions
- Optimise performance, scalability, and cost efficiency
- Support AI teams with infrastructure, deployment, and integration
- Ensure platform security, compliance, and high availability
- Automate infrastructure using Infrastructure as Code (IaC) tools
- Troubleshoot and resolve platform issues
Technologies
- AI
- AWS
- CI/CD
- Cloud
- Datadog
- DevOps
- Support
- Kubernetes
- MLOps
- OpenTelemetry
- Python
- Security
- NodeJS
More
We are partnering on a high-profile AI initiative and seeking an experienced MLOps / Platform Engineer to help us build and scale infrastructure supporting advanced AI solutions. You will play a key role in designing and operating a secure, scalable platform for deploying AI workloads and agents. Working closely with our Data Science and Engineering teams, you will help ensure robust infrastructure, seamless deployment pipelines, and high platform reliability. This role is based on-site three days per week.
last updated 40 week of 2026
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MLOps Engineer in London employer: DGH Recruitment Limited
As a leading professional services organisation, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our Data Architects play a crucial role in shaping the future of our enterprise data landscape, with ample opportunities for professional growth and development. Located in a vibrant area, we offer competitive benefits and a commitment to work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers.
