Machine Learning Engineer

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 talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply., 1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences

1. 2. Implement custom user interfaces using latest programming techniques and technologies
2. 3. Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
3. 4. Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
4. 5. Architect efficient and scalable systems that drive complex applications
5. 6. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
6. 7. Work on a variety of coding languages and technologies
7. 8. Establish ownership of components, features, or systems with expert end-to-end understanding
8. 9. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
9. 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. 11. Demonstrated experience driving change within an organization and leading complex technical projects
11. 12. Programming experience in a relevant language

Preferred Qualifications:

1. 13. Understanding of information retrieval concepts, such as indexing, querying, and ranking
2. 14. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
3. 15. Masters degree or PhD in Computer Science or a related technical field
4. 16. Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
5. 17. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
6. 18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
7. 19. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
8. 20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies