aimlroles

Machine Learning Engineer 3D Geometry / Multi-Modal

Autodesk autodesk.com Open · verified Oct 22, 2026
London Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at Autodesk. London · no salary stated · we estimate £60,000–£97,524 across the United Kingdom.

Estimated pay

Autodesk has not published a salary for this role. The figure below is our estimate, not theirs.

£60,000 – £97,524
What the middle half of mid-level machine learning engineering roles in the United Kingdom paid, among postings that did state a salary.
Worked out from 5 postings that stated pay, median £86,000. Last updated Oct 22, 2026.
RoleMachine Learning Engineering
SeniorityMid-level
LocationLondon
PostedJul 27, 2026 · 2mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and refine machine-learning pipelines, prototypes and evaluation workflows so experimental models can be tested and deployed quickly
  • Prepare complex datasets and representations for model training, evaluation and analysis
  • Investigate model errors and develop ways to address them
  • Share project findings with collaborators and leadership

What you bring

  • A computer science bachelor’s or master’s degree, or equivalent industry experience
  • At least three years working in machine learning, including in research settings where requirements evolve
  • Hands-on experience with computational geometry and 3D data, plus working across 2D and 3D representations
  • Proficiency in PyTorch and HuggingFace, with experience deploying ML models and maintaining reproducible work
  • Experience using modern AI tools in development or experimentation, alongside strong written documentation

Who this fits

This role suits a mid-level ML engineer who enjoys shaping loosely defined problems and iterating with researchers and engineers. You’ll work in a hybrid model from the London offices.

From the employer

Job Requisition ID #

26WD100236

Job Description

Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.

As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things, and excited to collaborate with AI researchers to implement generative AI features. You will operate in a fast-moving, research-driven environment where problems are often not fully defined, requiring strong problem framing and rapid iteration.

The team work in a hybrid working model from our offices in London.



Responsibilities

  • Collaborate on projects at the intersection of research and product with a diverse, global team

  • Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models

  • Work with complex datasets and representations for model training, evaluation, and analysis

  • Analyze errors and provide solutions to problems

  • Present results to collaborators and leadership



Minimum Qualifications

  • BSc or MSc in Computer Science, or equivalent industry experience

  • 3+ years of machine learning experience

  • Experience working in research or experimental environments with evolving requirements

  • Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)

  • Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)

  • Experience working with diverse data representations, including 2D and 3D geometry

  • Experience with version control, reproducibility, and deploying machine learning models

  • Experience using modern AI/GenAI tools in development or experimentation workflows

  • Excellent written documentation skills



Preferred Qualifications

  • Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or related field

  • Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)

  • Experience with cloud services and architectures (e.g. AWS, Azure)

  • Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)

  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries

  • Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

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