About this role
Salary: £65,000 - 105,000 per year
Requirements: BSc or MSc in Computer Science, or equivalent industry experience3+ years of machine learning experienceExperience working in research or experimental environments with evolving requirementsProficiency 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 geometryExperience with version control, reproducibility, and deploying machine learning modelsExperience using modern AI/GenAI tools in development or experimentation workflowsExcellent written documentation skillsAdvanced degree (MSc/PhD) in Machine Learning, Computer Science, or related fieldExperience 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 industriesExperience with Autodesk or similar products (CAD, CAE, CAM, etc.) Responsibilities: Collaborate on projects at the intersection of research and product with a diverse, global teamBuild and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental modelsWork with complex datasets and representations for model training, evaluation, and analysisAnalyze errors and provide solutions to problemsPresent results to collaborators and leadership Technologies: 3DAIAWSAzureCloudFine-tuningMachine LearningModel TrainingPyTorch More:
We are Autodesk, and our software helps create buildings, machines, and films, empowering innovators around the world. This Machine Learning Engineer role sits within Autodesk Research, where we work side by side with researchers and engineers to build ML-powered capabilities for our products, including generative AI features. We operate in a fast-moving, research-driven environment with a hybrid working model from our London offices. We offer a competitive compensation package that may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. We also take pride in fostering a culture of belonging where everyone can thrive. This role is located in EMEA - United Kingdom - London - Agar St.
last updated 36 week of 2026