At a Glance
- Tasks: Deploy, monitor, and optimise machine learning systems in a dynamic environment.
- Company: Fast-growing AI technology scale-up based in London.
- Benefits: Fully remote work, competitive contract rates, and opportunity to shape AI operations.
- Other info: Work with modern tech stack and enjoy high-growth opportunities.
- Why this job: Join a cutting-edge team and tackle complex infrastructure challenges in AI.
- Qualifications: 4+ years in MLOps or related fields with strong cloud-native skills.
The predicted salary is between 60000 - 80000 £ per year.
Remote (Company based in London, UK)
Contract | 6-Month Initial Contract
Machine learning models are only as valuable as their ability to operate reliably in production. For one of our clients, a fast-growing AI technology scale-up based in London, we are looking for an AI Operations Engineer (MLOps) to help deploy, monitor, and optimise machine learning systems operating at scale.
You will work closely with machine learning engineers, data scientists, and platform teams to build the infrastructure, automation, and operational processes required to move AI solutions from experimentation to production. This is an excellent opportunity for an experienced contractor who enjoys solving complex infrastructure challenges while helping to deliver robust, scalable AI products.
Technical Environment- Python
- Kubernetes
- MLflow
- AWS or GCP
- CI/CD Pipelines
- Deploying and managing machine learning models in production environments
- Building and maintaining MLOps pipelines and automation workflows
- Monitoring model performance, reliability, and operational health
- Supporting model versioning, testing, and deployment processes
- Improving scalability, observability, and operational efficiency across AI platforms
- Collaborating with engineering and data science teams to optimise AI delivery workflows
- 4+ years in MLOps, Platform Engineering, DevOps, or Machine Learning Engineering
- Experience deploying machine learning systems into production
- Strong understanding of cloud-native infrastructure and automation practices
- Experience working with CI/CD pipelines and containerised environments
- Familiarity with machine learning lifecycle management and monitoring
- Experience with LLMs and Generative AI platforms
- Infrastructure as Code (Terraform or similar)
- Model monitoring and observability tooling
- Feature stores and vector databases
- Experience supporting large-scale AI platforms
- Fully remote contract engagement
- Work on cutting-edge AI products
- Modern cloud-native technology stack
- High-growth scale-up environment
- Opportunity to help shape the operational foundations of AI at scale
AI Operations Engineer in London employer: XpertDirect
Join a fast-growing AI technology scale-up based in London, where innovation meets opportunity. As an AI Operations Engineer, you'll thrive in a fully remote environment that champions collaboration and creativity, working with cutting-edge technologies to shape the future of AI. With a strong focus on employee growth and a culture that values problem-solving, this role offers you the chance to make a meaningful impact while enjoying the flexibility and support of a dynamic team.
