Machine Learning Researcher

Foster + Partners; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Researcher, where you will engage in strategic R&D to innovate within the architecture and engineering sectors. This exciting role involves developing, implementing, and evaluating cutting-edge machine learning models, leveraging frameworks like PyTorch and JAX. You'll collaborate with a diverse team of experts to enhance architectural design and operational efficiency through AI. If you're passionate about machine learning and eager to make a significant impact, this opportunity is perfect for you, offering a competitive salary and a generous benefits package.

Benefits

25 days holiday

Pension

Discretionary annual bonus

Death in Service (DIS)

Qualifications

• Master’s degree in relevant fields or equivalent experience required.
• Deep knowledge of Deep Learning architectures and ML implementation.

Responsibilities

• Develop and implement new ML models for the AEC industry.
• Collaborate with data scientists and developers on ML applications.

Skills

Deep Learning

Machine Learning

Python

Computer Vision

Natural Language Processing

Graph Neural Networks

Effective Communication

Education

Master's degree in Computer Science

Master's degree in Machine Learning

Master's degree in Mathematics

Tools

PyTorch

JAX

Sci-Kit Learn

Pandas

Numpy

CUDA

Triton

Huggingface Libraries

MLFlow

Job description

Join to apply for the Machine Learning Researcher role at Foster + Partners.

Foster + Partners is a global studio for architecture, engineering, urban and landscape design, rooted in sustainability.

This role will include strategic R&D around developing, implementing and evaluating new models, agents and techniques, as well as deploying standard models and methods towards prediction and automation - including building the relevant software to support wider deployment of these derivative applications. The role will include researching the latest models in Machine Learning and implementing proofs of concept for problems particular to the AEC industry, using standard frameworks such as PyTorch and JAX.

Once a model is fully tested, the role will involve deployment to test and production on premises or the cloud. The role also involves identifying and leveraging opportunities in ML research for both architectural design innovation and operational business applications, training and grounding image and language-based ML models on proprietary data and investigating workflow automation through AI agents. You will work alongside data scientists, front-end and back-end developers as well as domain specialists like material scientists and business analysts.

Responsibilities

• Master’s degree in Computer Science, Machine Learning, Mathematics or equivalent experience.
• Deep knowledge and understanding of Deep Learning architectures.
• Ability to implement latest research ML papers.
• Strong programming skills, with a preference for Python.
• Excellent experience developing and training deep learning models using PyTorch and/or JAX.
• Excellent experience with Sci-Kit Learn, Pandas and Numpy.
• Experience with CUDA or Triton.
• Experience with Computer Vision, Natural Language Processing and Graph Neural Networks.
• Experience with a wide range of generative modelling techniques, including diffusion based models, flow matching, and Latent Consistency Models for image synthesis, as well as large-scale transformer architectures for language modelling, with a focus on underlying algorithms and emerging industry trends.
• Knowledge of DataOps and MLOps concepts and tools (e.g. MLFlow).
• Experience with Huggingface libraries like Transformers, Diffusers and Accelerate.
• Effective communication skills, with the ability to deliver compelling presentations on how Machine Learning models can help the business.

In return we offer a competitive basic salary and generous benefits package which includes 25 days holiday (exc bank holidays), Pension, DIS and discretionary annual bonus.

Employment Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Research
• Industries: Architecture and Planning