Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Engineer Manager

Snapchat
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer – Insurance

Senior Machine Learning Engineer

Machine Learning Computer Vision Engineer

Senior Computer Vision Engineer

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.


We're looking for a Machine Learning Manager to join our Generative ML Platform team!


What you'll do:

  • Drive the technical and organizational roadmap for the engineering team
  • Lead and grow a team of exceptional machine learning engineers
  • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
  • Develop deep architectures and optimization techniques for cutting-edge solutions
  • Create products that are used by millions of Snapchatters
  • Learn new techniques and stay on the cutting edge of machine learning technology
  • Design and implement machine learning and computer vision solutions to be used by millions of Snapchatters
  • Introduce major innovations that can lead to new product features or new areas of business
  • Partner with cross functional Snap teams to explore, prototype, and ship new features


Knowledge, Skills & Abilities:

  • Up-to-date with the latest research in machine learning and computer vision
  • Up-to-date with the State of the art in the GenAI field
  • Knowledge of mathematics and deep learning foundations
  • Knowledge of basic computer vision algorithms
  • Strong computer science fundamentals
  • Strong communication, presentation, and interpersonal skills
  • Ability to lead and represent the team's goals and projects with cross-functional business partners and leaders


Minimum qualifications:

  • BS in a technical field such as computer science or equivalent years of experience
  • 8+ years of machine learning experience
  • 2+ years of experience managing a team and technical leadership
  • Strong track record of leading machine learning projects
  • Engineering experience with generative models (e.g. diffusion models, GANs, VAE, etc.)


Preferred qualifications:

  • Experience developing real-time ML solutions for mobile applications
  • Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
  • Excitement about Snapchat and our products

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.