Research Engineer (inc. ML Ops)

Who you are

• Have experience deploying AI models and shipping them to production.
• Proficient in building computer vision models for production environments.
• Ideally have experience with generative models, such as transformers and diffusion models.
• Passionate about creating technology and products that make a real, tangible impact on the industry.
• Excited to take ownership of projects and come up with creative solutions to complex problems.
• Enjoy working in a fast-paced startup environment and thrive alongside ambitious, talented individuals.
• Motivated to develop your skills and career quickly.

What you will do

• Build a robust API for deploying and hosting machine learning models, ensuring scalability, efficiency, and reliability.
• Collaborate with research scientists on various research tasks, such as developing automated data pre-processing and post-processing pipelines, training models, and optimizing their performance.
• Optimize the performance of research models by enhancing ML Ops infrastructure, focusing on model deployment, scalability, and automation processes.

Additional Information

This role (Research Engineer) will work closely with the Research Scientist, and there will be overlapping responsibilities. The key distinction is that this role not only contributes to research but also plays a crucial part in shipping models to production. Experience in ML Ops is highly preferred.

Prefer working hybrid in our London office, but open to remote

How to stand out

When you apply, please explain your projects of deploying and shipping models to production; Please also explain your experience with computer vision. Your Google Scholar, GitHub and personal website with past projects are also welcome.