Model Performance Tech Lead & Manager

Google LLC; Greater London; Hybrid; GBP 198,000 - 275,000; Full time

Job summary

DeepMind in London, UK, is seeking a Tech Lead Manager for Model Performance. You will lead a cross-functional team focusing on ML model performance and align priorities with broader goals.

You will develop the long-term technical vision, oversee designs, and drive large-scale ML infrastructure optimization across multiple domains. Strong leadership in matrixed organizations is essential.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in a people management, supervision/team leadership role.
• 5 years of experience in a technical leadership role and overseeing projects.

Responsibilities

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
• Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
• Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

Skills

Software development

People management

Technical leadership

Education

Bachelor’s degree or equivalent

Master’s degree or PhD in Engineering, CS or related

Job description

DeepMind in London, UK, is seeking a Tech Lead Manager for Model Performance. You will lead a cross-functional team focusing on ML model performance and align priorities with broader goals.

You will develop the long-term technical vision, oversee designs, and drive large-scale ML infrastructure optimization across multiple domains. Strong leadership in matrixed organizations is essential.