National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Engineer - 3D

Harnham
Slough
1 week ago
Create job alert

Job Title: Machine Learning Engineer

Location:London 1-2 days a week

Salary:£90,000-£120,000 + 15% bonus

Visa Sponsorship:Is on offer for strong candidates


About the Role

My client is hiring aMachine Learning Engineerto join a small but impactful team at the intersection ofdeep learning, computer vision, and real-time 3D systems.


This is a chance to push the boundaries of digital human performance, runtime tracking, and facial capture—projects that directly power high-end experiences.


You’ll collaborate closely with a world-class VFX team, helping automate and optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems.


What You’ll Be Working On

  • Designing and training deep learning models end-to-end
  • Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers)
  • Building real-time tracking systems for devices
  • Working with 3D geometry, meshes, and tools like Blender
  • Supporting automation efforts to streamline creative production pipelines


What We’re Looking For

  • Solid experience with deep learning and 3D modelling
  • Strong Python skills
  • Proficiency in C++ (especially for low-level or runtime systems)
  • Familiarity with GenAI and recent ML research trends
  • Exposure to 3D environments, animation, or game engines
  • Comfort working in cross-disciplinary teams (engineering x creative)
  • A portfolio of personal or open-source projects (GitHub is a plus)


Nice to Have

  • Engineering background with a transition into ML/AI
  • Prior work in gaming, VFX, graphics, or interactive media
  • Understanding of facial capture, digital humans, and animation tech


Interview Process

  • Intro Call (30 mins):CV walkthrough + high-level tech screen
  • Technical Interview (1 hour):Engineering, ML, and applied problem-solving
  • Final Onsite (4–5 hours):Meet the team, dive deeper, enjoy lunch

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.