Job Type: Full-Time
Salary: £80,000 - 100,000
We're partnering with an innovative deep-tech organisation developing next-generation computing technology and advanced AI solutions. As the company continues to expand its research capabilities, they're looking to appoint a Machine Learning Research Engineer to help drive the development of novel machine learning algorithms and applications.
This is a rare opportunity to work on cutting-edge technology at the intersection of machine learning, advanced computing, and emerging hardware platforms, helping to solve complex real-world challenges for customers and partners worldwide.
The Opportunity As a Machine Learning Research Engineer, you'll develop and benchmark new machine learning approaches, with a particular focus on generative AI and advanced neural network architectures. You'll work alongside a multidisciplinary team of researchers and engineers, translating innovative ideas into practical solutions and customer-facing applications.
Key Responsibilities
- Develop, test and benchmark advanced machine learning algorithms.
- Work with generative AI models including diffusion models, flow models and GANs.
- Design and evaluate novel hybrid machine learning architectures.
- Collaborate with customers and strategic partners to identify and solve complex technical challenges.
- Contribute to software products through the development of new algorithms, tools and examples.
- Support research activities through experimentation, analysis and publication of results.
- Contribute to the creation and protection of intellectual property arising from your work.
- Proven experience developing and benchmarking machine learning algorithms.
- Hands-on experience with diffusion models, flow models and/or GANs.
- Strong programming skills in Python and PyTorch.
- Experience using version control systems such as Git.
- MSc or PhD in Computer Science, Machine Learning, Physics, Mathematics or a related discipline.
- Excellent communication skills and the ability to work effectively within multidisciplinary teams.
- Experience working with advanced computing infrastructure including HPC, GPUs, NPUs, ASICs or other specialist hardware.
- Experience training and optimising multi-GPU models.
- Published research in machine learning or a related field.
- Experience working directly with customers or external stakeholders.
- An interest in or understanding of quantum computing technologies.
- The opportunity to work on genuinely innovative technology at the forefront of AI and advanced computing.
- A collaborative environment alongside highly experienced researchers and engineers.
- Exposure to cutting-edge machine learning research and commercial applications.
- Competitive salary and benefits package.
- Hybrid working based in London.
