Machine Learning Engineer

Meta; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Job summary

Meta is seeking talented ML engineers to join teams building cutting-edge products for billions of people. You will work on complex problems, create new features, and enhance existing products across mobile and web platforms.

You will collaborate with product, design, and operations to deliver high-impact experiences and mentor teammates. The role emphasizes architectural thinking, scalable systems, and responsible AI practices, with opportunities to lead major initiatives and drive measurable

Qualifications

• Bachelor's degree or equivalent practical experience in CS/CE or related field.
• Experience driving complex technical projects and change within an organization.
• Programming experience in a relevant language and frameworks for ML.
• Strong data analysis skills and ability to explain technical problems.

Responsibilities

• Collaborate with cross-functional teams to build innovative ML application experiences.
• Architect efficient and scalable ML systems and troubleshoot performance issues.
• Provide technical guidance and mentorship to peers on major initiatives.
• Analyze and optimize code for quality, efficiency, and scalability.

Skills

Data analysis

Mentorship

Cross-functional collaboration

Programming experience

Education

Bachelor's degree in Computer Science or related field

Masters or 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.Machine Learning Engineer Responsibilities:Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiencesImplement custom user interfaces using latest programming techniques and technologiesAnalyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviewsSet direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team membersArchitect efficient and scalable systems that drive complex applicationsIdentify and resolve performance and scalability issues, and drive large efforts to reduce technical debtWork on a variety of coding languages and technologiesEstablish ownership of components, features, or systems with expert end-to-end understandingMinimum Qualifications:Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceDemonstrated experience driving change within an organization and leading complex technical projectsProgramming experience in a relevant languagePreferred Qualifications:Understanding of information retrieval concepts, such as indexing, querying, and rankingKnowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysisMasters degree or PhD in Computer Science or a related technical fieldDemonstrated experience with data structures and algorithms, including graph theory and optimization techniquesExperience with frameworks like TensorFlow, PyTorch, or Scikit-learnDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.