Summary: The role of Machine Learning Engineer focuses on leveraging expertise in distributed computing and big data frameworks, particularly Spark and Ray, to develop scalable machine learning solutions. The candidate will lead efforts in defining ML architecture, adapting techniques for distributed systems, and addressing complex production issues. A strong background in large-scale deep learning projects and proficiency in multiple programming languages is essential for success in this contract position based in London.

Key Responsibilities:

• Define team objectives, focusing on ML architecture and best practices.
• Adapt ML techniques for distributed systems (eg, clusters, GPUs).
• Conduct trade-off analysis, manage technical debt, and lead scalable ML solutions.
• Act as the primary resource for complex production issues involving ML systems.
• Develop scalable classifiers and models and define clear feature roadmaps.
• Collaborate with the engineering team on code deliverables.

Key Skills:

• Experience in ML, data mining, AI, or similar fields.
• Skilled in large-scale ML model development.
• Proficiency in C/C++, Java, Python, or Shell Scripting.
• Demonstrated technical leadership and project ownership.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT