ML Engineer: Architect Scalable AI Systems & Lead Projects

Meta; City of Westminster; On-site; GBP 90,000 - 140,000; Full time

Job summary

Meta is seeking engineers to join teams building cutting-edge products connecting billions of people globally. You will work on complex technical problems, features, and improve products across mobile and web.

You will collaborate with product, design, operations and infrastructure, setting direction, mentoring peers, and driving major initiatives. Expect ownership of scalable, efficient systems and measurable impact through data-driven decisions.

Qualifications

• Bachelor's degree in CS, CE, or related field required.
• Experience leading complex technical projects and teams.
• Programming experience in a relevant language is required.
• Strong problem solving with data-driven approaches.

Responsibilities

• Collaborate with cross-functional teams to build innovative experiences.
• Implement custom user interfaces using modern techniques.
• Analyze and optimize code for quality, efficiency and performance.
• Provide technical guidance and mentorship to peers.
• Architect scalable systems for complex applications.
• Identify performance issues and reduce technical debt.
• Work with multiple languages and technologies.
• Own components or features with end-to-end responsibility.
• Use data analysis to explain problems and propose solutions.

Skills

Programming language

Leadership

System design

Problem solving

Education

Bachelor's degree in Computer Science or related field

Masters/PhD in CS or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Meta is seeking engineers to join teams building cutting-edge products connecting billions of people globally. You will work on complex technical problems, features, and improve products across mobile and web.

You will collaborate with product, design, operations and infrastructure, setting direction, mentoring peers, and driving major initiatives. Expect ownership of scalable, efficient systems and measurable impact through data-driven decisions.