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 deploying machine learning models effectively. This contract position requires expertise in building scalable and observable ML pipelines, with a strong emphasis on collaboration with data scientists. The role is hybrid, requiring some presence in London, and is classified as outside IR35. The contract duration is for 9 months, with a competitive daily rate.

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 processes for machine learning using tools like GitHub Actions, Argo, or Airflow.
• Work with containerization technologies such as Docker and Kubernetes, preferably on AWS.
• Monitor, version, and ensure reproducibility of machine learning models.
• Collaborate with data scientists to productionize machine learning models.
• Engage with high-scale data environments and manage relational and NoSQL databases.
• Write production-grade code in Python, SQL, or similar languages.

Key Skills:

• Experience with MLflow, Kubeflow, or SageMaker.
• Proficiency in CI/CD for machine learning (GitHub Actions, Argo, Airflow).
• Containerization skills (Docker/Kubernetes), ideally on AWS.
• Experience in monitoring and versioning ML models.
• Strong coding skills in Python, SQL, or similar languages.
• Experience with high-scale data environments.
• Familiarity with relational and NoSQL databases.
• Prior experience in FinTech, SaaS, or consulting preferred.

Salary (Rate): 800

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT