Machine Learning Engineer

Redtech Recruitment Ltd.; Cambourne; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Private healthcare

Pension

Life insurance

Enhanced family support and wellbeing

Job summary

RedTech Recruitment Ltd. in Cambridge is seeking a Machine Learning Researcher to advance LLM-focused research and develop practical AI applications. You will prototype, experiment and implement solutions alongside software engineers to turn research into real products.

The role emphasizes collaboration, a strong academic track record, and experience with PyTorch and LangChain/LangGraph. Hybrid work with two days in the office is required.

Qualifications

• PhD in Machine Learning or related discipline.
• Strong academic record.
• Experience using PyTorch.
• LLM-focused experience from research or projects; commercial experience not essential.
• Experience with a range of ML techniques.
• Ability to translate research to practical implementations.
• Strong communication and teamwork skills.

Responsibilities

• Explore and prototype ML solutions focused on LLMs.
• Develop and improve AI applications (copilots, agents, enterprise search, workflow automation).
• Work with company data, APIs and business processes to turn research into products.
• Apply ML techniques including language models, neural networks, statistics, and classical ML.
• Collaborate with software development and security teams to test and implement research outcomes.
• Implement models within the software stack and optimize for latency and memory, including edge devices.
• Balance independent research with team contributions.

Skills

PyTorch

Problem-solving

Collaboration

Education

PhD in Machine Learning or related discipline

Tools

LangChain

LangGraph

Job description

Job Description

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 for Machine Learning Researcher:

• PhD in Machine Learning or a related discipline
• A strong academic record
• Experience using PyTorch
• 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:
• LangChain and/or LangGraph
• 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

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 / PyTorch / Large Language Models / LLM / LangChain / LangGraph / AI Agents / Enterprise Search / Neural Networks / Model Deployment / Edge AI / TensorFlow / scikit-learn / Linux / Git / Machine Learning / Artificial Intelligence / Computer Science / Mathematics / Statistics

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 [e-mail] (if this email address has been removed by the job board, full contact details are readily available on our website).

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