Senior MLOps Engineer, Data Engineering | FinOps, Data Transformation | Contract £700-800 per day - Outside IR35 | Hybrid – London | 9-months Contract

Summary: The Senior MLOps Engineer will play a crucial role in transforming the data infrastructure of a leading FinTech company, focusing on the deployment of machine learning models. This contract position requires expertise in building robust pipelines for model deployment, ensuring scalability and observability. The role is hybrid, based in London, and is expected to last for nine months. The position offers a competitive daily rate and is classified as outside IR35.

Key Responsibilities:

• Build robust pipelines for model deployment that are repeatable, scalable, and observable.
• Utilize MLflow, Kubeflow, or SageMaker for machine learning operations.
• Implement CI/CD practices for machine learning using tools like GitHub Actions, Argo, and Airflow.
• Containerize applications using Docker/Kubernetes, preferably on AWS.
• Monitor, version, and ensure reproducibility of machine learning models.
• Collaborate with data scientists to productionize machine learning models.

Key Skills:

• Experience with MLflow, Kubeflow, or SageMaker.
• Proficiency in CI/CD for machine learning.
• Strong skills in containerization (Docker/Kubernetes) and AWS.
• Ability to write production-grade code in Python, SQL, or similar languages.
• Experience in high-scale data environments and with relational + NoSQL databases.
• Prior experience in FinTech, SaaS, or consulting is preferred.

Salary (Rate): 800

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT