Machine Learning Engineering Manager

Snap Inc.; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

A leading tech company in Greater London is seeking a Machine Learning Team Lead to guide projects focused on generative AI products and machine learning solutions. The role entails leading engineers, enhancing product functions, and collaborating efficiently with product teams. Candidates should have a master's or PhD in Computer Science or relevant experience, along with extensive knowledge of ML algorithms and strong leadership skills. This position requires working in the office 4+ days a week.

Benefits

Paid parental leave

Comprehensive medical coverage

Mental health support programs

Qualifications

• Proven track record of delivering ML-based backend products at scale.
• Experience supporting applied machine learning teams.
• Strong problem-solving skills and background in machine learning.

Responsibilities

• Lead a team of Machine Learning Engineers to develop AI products.
• Collaborate with cross-functional teams to integrate ML models.
• Oversee the end-to-end ML lifecycle and ensure operational excellence.

Skills

Machine Learning

Team Leadership

Collaboration

Problem Solving

Communication

Education

Master’s / PhD in Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Snap Inc Overview

Snap Inc is a technology company that believes the camera presents the greatest opportunity to improve how people live and communicate. Snap empowers people to express themselves, live in the moment, learn about the world, and have fun together. The company’s core products are Snapchat, a visual messaging app; Lens Studio, an augmented reality platform; and Spectacles, AR glasses.

Responsibilities

• Lead an applied team of Machine Learning Engineers to build and enhance consumer-facing Gen AI products and AI Lenses, focusing on image and video generation/editing and LLMs.
• Collaborate extensively with Product, Software Engineering, Lens Content, Data Science teams, and executive stakeholders to prototype new ideas, integrate ML models/APIs into production, and refine them through A/B testing and user feedback.
• Monitor the market and research landscape for new Gen AI developments, evaluate open‑source models and third‑party AI APIs/services, and make build‑vs‑buy decisions to keep Snap’s products at the cutting edge.
• Oversee the end‑to‑end ML lifecycle from product research and ML prototyping to training, deployment, and ongoing inference in production, ensuring best practices in availability, scalability, cost‑efficiency, and operational excellence.
• Facilitate technical planning, code reviews, and ensure high‑quality code and operational standards across projects.
• Evaluate technical tradeoffs of major decisions and serve as a strong technical mentor.
• Manage and mentor a team of engineers in a fast‑paced, quick‑to‑market environment.
• Hire, grow, and retain high‑performing team members.

Knowledge, Skills & Abilities

• Track record of delivering ML‑based backend products at scale in rapidly changing, highly collaborative, multi‑stakeholder environments.
• Track record of extensive collaboration with Product, Design, and Data Science functions to build consumer‑facing ML‑based products.
• Solid understanding of machine learning approaches and algorithms, especially generative models (GANs, diffusion models, transformers/LLMs), and a proven track record of applying them to deliver impactful product solutions.
• Able to stay up‑to‑date with research and excited about prototyping new ideas quickly.
• Strong management and mentorship skills, fostering a collaborative and innovative team culture via positive leadership.
• Excellent verbal and written communication skills, with meticulous attention to detail.
• Ability to effectively collaborate with stakeholders at all levels, both internally and externally.
• Ability to lead and execute large, complex technical initiatives.

Minimum Qualifications

• Strong background in Machine Learning.
• Experience supporting applied machine learning teams that work closely with Product.
• Experience leading machine learning teams that focus on Gen AI.
• Proven track record of supporting technical teams.
• Strong problem‑solving skills and background in machine learning.
• Master’s / PhD degree in Computer Science (or relevant work experience).
• History of involvement in product roadmapping and decision making.

Preferred Qualifications

• Experience with visual Gen AI models for Image and Video generation and editing.
• Experience with evaluating the visual quality of Image and video models.
• Proven track record of closely collaborating with Product, Design, and Software Engineering teams for launching consumer‑facing Gen AI or ML‑powered products.
• Experience working with large‑scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit‑learn, or related frameworks.
• Experience working with machine learning, ranking infrastructures, and system designs.
• Ability to proactively learn new concepts and apply them at work.

Disability Accommodations

If you have a disability or special need that requires accommodation, please provide us some information.

Default Together Policy

At Snap Inc. we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

Equal Opportunity Employer

Snap Inc. is a proud equal opportunity employer, committed to providing employment opportunities regardless of protected classifications in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Benefits

Snap Inc. offers a comprehensive benefits package that includes paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long‑term success.