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

Nominate & Attend

Senior Machine Learning Software Engineer, Cambridgeshire

TN United Kingdom
Cambridgeshire
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Senior Software Engineer – API & ML Infrastructure

Social network you want to login/join with:

Senior Machine Learning Software Engineer, CambridgeshireClient:

Microsoft

Location:

Cambridgeshire, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

1c27be939ccb

Job Views:

5

Posted:

03.03.2025

Expiry Date:

17.04.2025

Job Description:

Overview

In Microsoft, people are at the center of everything we do. Our technology aims at bringing people closer together—from remote coworkers socializing to building deeper connections to global leaders collaborating on the biggest challenges of our time, and everything in between.

Microsoft is the research arm of the company, and its main office is located in Cambridge, UK. We build the AI technology that powers Microsoft Mesh, spanning the presence spectrum from avatars through holoported representations of people to digitization of objects and environments, and spanning the product lifecycle from research prototypes to shipping products to millions.

A diverse, multidisciplinary team, we approach our work not just as an exciting technological opportunity, but as a responsibility to develop new mediums of 3D communication in an inclusive and ethical way.

We combine insights in computer vision, machine learning, and graphics to understand the motion, shape, and appearance of a user and recreate their likeness remotely. We guide our technological development by building human-centric experiences to ensure we design solutions that people will love to use. We collaborate very closely with design, art, engineering, and program management teams to build the best solutions for our customers and make for dynamic and joyful collaborations with colleagues!

If you are passionate about ground-breaking VR/AR/XR technology and want to work in a science team dedicated to a culture of inclusion, growth mindset, and collaboration, we need you!

Qualifications

Required Qualifications:

  1. Bachelor's degree in Computer Science or equivalent experience
  2. Demonstrated architecture and design skills
  3. Experience working with computer vision, AI, machine learning, computer graphics code bases
  4. Experience in using Azure DevOps, GitHub Actions, or similar tools for CI/CD pipelines

Preferred Qualifications:

  1. Demonstrated ability to integrate end-to-end real-time interactive systems
  2. Experience with shipping mobile, console, PC games, or social and gaming platforms
  3. Familiarity with Unity 3D, Unreal, or any other game engine
  4. Familiarity with employing natural user interfaces like speech, gesture, and gaze

We welcome talent from a wide range of backgrounds, and we strive to create a respectful, inclusive environment where you can bring your best self and do your best work. If you're ready to work on the cutting edge of the industry with a passionate team, please apply with your resume and portfolio.

Responsibilities

As a Machine Learning Software Engineer at Mesh Labs, you will mix your software engineering skills with cutting-edge art, design, artificial intelligence, and hardware to build experiences for social presence in Mixed Reality. You will work closely with the science teams that delivered tracking and animation AI for Kinect, HoloLens, Avatars in Teams, and Microsoft Mesh. You will:

  1. Collaborate with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements for a scenario
  2. Drive identification of dependencies and development of design documents
  3. Conduct experiments to determine the most effective solutions
  4. Design the architecture of the science code and its integration with the product
  5. Implement new features
  6. Assure system architecture meets security and compliance requirements and expectations
  7. Work with a wider team to establish and propagate best practices for code development and testing

As needed, you will collaborate with our partners from design, cognitive science, and game studios to redefine the meaning of virtual presence. To excel at the role, you will need to be curious, comfortable dealing with the ambiguity of R&D work, and take delight in learning new tools and techniques.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work:

  • Industry-leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Opportunities to network and connect

#J-18808-Ljbffr

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.