Machine Learning Engineer

Summary: The Machine Learning Engineer role based in London involves developing and deploying machine learning solutions in cloud-native environments. The position requires proficiency in Python and a solid understanding of software engineering best practices. Candidates should have hands-on experience with Test-Driven Development and familiarity with Databricks and Microsoft Azure. The role emphasizes leveraging machine learning to solve real-world business problems through predictive and prescriptive modeling.

Key Responsibilities:

• Develop and deploy machine learning solutions in cloud-native environments.
• Write clean, maintainable Python code following software engineering best practices.
• Implement Test-Driven Development using Pytest or equivalent frameworks.
• Utilize Databricks for notebook development, cluster configuration, and job orchestration.
• Work with managed endpoints like Azure Kubernetes Service (AKS).
• Implement CI/CD pipelines for automated testing and deployment.
• Identify opportunities to leverage machine learning for business problem-solving.
• Develop predictive and prescriptive models using machine learning techniques.

Key Skills:

• Proficient in Python programming.
• Strong understanding of software engineering best practices.
• Hands-on experience with Test-Driven Development (TDD).
• Experience with Databricks and Microsoft Azure.
• Familiarity with Azure Kubernetes Service (AKS).
• Proficiency with Version Control Systems (VCS) like Git.
• Practical experience with CI/CD pipelines.
• Expertise in machine learning, data mining, and statistical analysis.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT