Senior Machine Learning Software Engineer

Microsoft
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer, Gen AI

Senior Machine Learning Engineer

Machine Learning Engineer Python AWS

Senior Machine Learning Engineer (Outfits)

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Overview

In , 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.


is the research arm of , 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 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:

Bachelor's degree in Computer Science, or equivalent experience  Proficiency in two or more high-level programming languages (Python, C#, Javascript, Typescript, C++, Rust) Demonstrated architecture and design skills. 
Experience working with computer vision, AI, machine learning, computer graphics code bases Experience in using Azure DevOps, GitHub Actions, or similar tools for CI/CD pipelines

Preferred Qualifications:

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

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.

#Research #Microsoft Mesh

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: 

Collaborate with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements for a scenario Drive identification of dependencies and development of design documents  Conduct experiments to determine most effective solutions  Design the architecture of the science code and its integration with the product Implement new features Assure system architecture meets security and compliance requirements and expectations 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 healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.