MLOps Engineer UK (Hybrid) |petitive Day Rate
The OpportunityWe’re looking for a talented MLOps Engineer to help design, build, and scale cutting-edge machine learning and AI solutions for a client.You’ll play a key role in bridging the gap between data science and engineering, ensuring models are deployed, monitored, and performing reliably in production. This is an opportunity to work on high-impact AI initiatives, including modern ML pipelines and Generative AI use cases.
What You’ll Be Doing
1. Design and implement end-to-end ML pipelines (training, deployment, monitoring)
2. Deploy and manage models in production using cloud platforms (AWS, Azure or GCP)
3. Build and maintain CI/CD pipelines for ML workflows
4. Work with tools like MLflow, Kubeflow, Airflow or similar
5. Support model monitoring, performance tuning, and drift detection
6. Collaborate with Data Scientists and Engineers to productionise models
7. Contribute to data engineering and pipeline optimisation
8. Ensure best practices across scalability, reliability, and security
What We’re Looking For
9. Proven experience in MLOps, Machine Learning Engineering or Data Engineering
10. Strong coding skills in Python (essential)
11. Experience with Docker, Kubernetes, CI/CD pipelines
12. Hands-on experience with cloud platforms (AWS, Azure, or GCP)
13. Familiarity with ML frameworks ( TensorFlow, PyTorch, scikit-learn)
14. Experience with monitoring and managing ML models in production
15. Understanding of data pipelines, ETL processes, and large datasets
16. Strong problem-solving skills and ability to work in agile environments
Nice to Have
17. Experience with Generative AI / LLMs ( LangChain, OpenAI, vector DBs)
18. Exposure to real-time or streaming data pipelines
19. Knowledge of infrastructure as code (Terraform, Bicep, etc.)
#4797451 - Ashley Sharp