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 position involves building robust pipelines for model deployment and requires collaboration with data scientists. The role is contract-based for 9 months and offers a competitive daily rate. The working arrangement is hybrid, with an expectation of being in London two days a week.

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, or 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.
• Containerization skills using Docker/Kubernetes.
• Strong coding abilities 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 is preferred.

Salary (Rate): 800

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT