Edward Killin


Ed is a Principal Recruitment Consultant at DeepRec.ai, specialising in connecting exceptional talent with leading companies across the Agentic and LLM space within the UK.

Throughout his recruitment career across Software Engineering, Ed has built a reputation for developing strong relationships with both candidates and clients, taking the time to understand their goals and deliver long-term value. Now, with a passion for the AI sector, his focus has been supporting businesses navigating AI transformations, as well as AI native companies scale their teams.

Outside of recruitment, Ed is a keen sports fan and proud Norwich City supporter. He is an avid golfer and enjoys spending time on the course whenever he gets the chance.

Whether it’s discussing the future of AI, career opportunities, or the latest round of golf, Ed is always happy to connect.

Jobs from Edward Killin

London, Greater London, South East, England
Machine Learning Research Engineer
Machine Learning Research Engineer Location: London (Hybrid) 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 ResponsibilitiesDevelop, 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. Essential RequirementsProven 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. Desirable ExperienceExperience 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. What's On OfferThe 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.
Edward KillinEdward Killin