Research Engineer

Salary: £61,000 - 101,000 per year

Requirements:

• Masters degree in computer science, mathematics, applied statistics, machine learning, or equivalent practical experience.
• Experience with TensorFlow or ML frameworks such as JAX or PyTorch.
• Experience working in industry on projects from proof of concept through to implementation.
• Experience with training diffusion models.
• Experience conducting applied research.
• Experience in inference optimization.
• Experience with data pipelines.
• Experience with training large-scale models.
• Cross-functional collaboration experience.
• Knowledge of machine learning, statistics, and diffusion model theories.

Responsibilities:

• Apply research ideas to high-impact real-world problems through prototyping, dataset curation, model training, performance optimization, and deployment.
• Develop cutting-edge techniques in generative media, including image, video, and audio.
• Optimize algorithms and models for efficient inference.
• Advance capabilities in multimodal understanding.
• Perform comprehensive model optimization to enhance performance and scale.

Technologies:

• AI
• Embedded
• Hardware
• Machine Learning
• Mobile
• Model Training
• PyTorch
• TensorFlow

More:

We are partnering directly with Google to hire for this role. At Google, research-focused Software Engineers are embedded throughout the company, allowing them to set up large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as collaborations with research programs at partner universities and technical institutes around the world. We work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, core search, and more, while staying connected to our research roots through partnerships with universities and publishing papers. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, with safety and ethics as our highest priorities. We are pushing the boundaries across multiple domains, and our global teams offer varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.

last updated 39 week of 2026