Job type
ContractLocation
ManchesterWorking Pattern
Full-timeSpecialism
ConsultancyIndustry
Technology & Internet ServicesPay
550-600
MLOps Engineer | Inside IR35 | Manchester
MLOps Engineer
UK (Hybrid) | Competitive Day Rate
The Opportunity
We’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
- Design and implement end-to-end ML pipelines (training, deployment, monitoring)
- Deploy and manage models in production using cloud platforms (AWS, Azure or GCP)
- Build and maintain CI/CD pipelines for ML workflows
- Work with tools like MLflow, Kubeflow, Airflow or similar
- Support model monitoring, performance tuning, and drift detection
- Collaborate with Data Scientists and Engineers to productionise models
- Contribute to data engineering and pipeline optimisation
- Ensure best practices across scalability, reliability, and security
What We’re Looking For
- Proven experience in MLOps, Machine Learning Engineering or Data Engineering
- Strong coding skills in Python (essential)
- Experience with Docker, Kubernetes, CI/CD pipelines
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
- Experience with monitoring and managing ML models in production
- Understanding of data pipelines, ETL processes, and large datasets
- Strong problem-solving skills and ability to work in agile environments
Nice to Have
- Experience with Generative AI / LLMs (e.g. LangChain, OpenAI, vector DBs)
- Exposure to real-time or streaming data pipelines
- Knowledge of infrastructure as code (Terraform, Bicep, etc.)
