Machine Learning Researcher

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas into real products.

The focus is on LLMs and applications such as AI copilots, agents, enterprise search and workflow automation. Relevant experience can come from PhD research or projects, so candidates who have recently completed their PhD are welcome. Location: Cambridge, Cambridgeshire, hybrid working with compulsory attendance at the office 2 days per week Salary: £60,000 to £80,000 per annum + benefits.

A salary of £60,000 is available for a recent PhD graduate, with higher salaries for candidates with relevant experience.

Requirements

PhD in Machine Learning or a related discipline A strong academic record Experience using Py. Torch LLM-focused experience through research, academic projects or commercial work. This is a key part of the role, and commercial experience is not essential Experience with a range of machine learning techniques Ability to work with software engineers to take ideas from experimentation towards practical implementation Strong problem-solving skills and the ability to work both independently and collaboratively Clear communication skills, including the ability to explain technical concepts to a range of stakeholders Experience in any of the following would be beneficial: Lang.

Chain and/or Lang. Graph Developing AI agents, copilots, enterprise search or workflow automation solutions Working with company data, APIs or business processes Familiarity with Linux and Git A basic understanding of cybersecurity concepts and common threats Responsibilities for Machine Learning Researcher: Explore and prototype machine learning solutions, with a focus on LLMs and their practical applications Develop and improve AI applications such as copilots, agents, enterprise search tools and workflow automation Work with company data, APIs and business processes to help turn AI research into useful products Apply techniques including language models, neural networks, statistical methods and classical machine learning where appropriate Collaborate with software development and security analysis teams to test and implement research outcomes Implement models within the wider software stack and optimise them for latency and memory, including on edge devices Work independently on research while contributing to team projects What the role offers: The opportunity to work on LLM-focused research and practical AI applications A varied role spanning research, experimentation and implementation, with recent PhD graduates encouraged to apply A competitive benefits package including private healthcare, pension, life insurance, enhanced family support and wellbeing benefits Applications: If you would like to apply for this unique Machine Learning Researcher role, please send your CV via the relevant links!

We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing applications@redtech-recruit.com (if this email address has been removed by the job board, full contact details are readily available on our website).

Keywords: Machine Learning Researcher / ML Research Scientist / Applied Machine Learning Scientist / AI Researcher / Research Engineer / Machine Learning Engineer / AI Engineer / Applied AI Engineer / ML Scientist / Deep Learning Researcher / NLP Researcher / Research Software Engineer / Python / Py. Torch / Large Language Models / LLM / Lang.

Chain / Lang. Graph / AI Agents / Enterprise Search / Neural Networks / Model Deployment / Edge AI / Tensor. Flow / scikit-learn / Linux / Git / Machine Learning / Artificial Intelligence / Computer Science / Mathematics / Statistics Red. Tech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities.

We are an equal opportunity employer and value diversity at Red. Tech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.