Machine Learning Engineer

Machine Learning Engineer A fantastic opportunity for a Machine Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists and the wider tech team to deploy, integrate and optimise innovative machine learning models within highly advanced, real-world products. Location: Cambridge, Cambridgeshire, hybrid working with a minimum of 2 days per week in the office Salary: £45,000 to £100,000 per annum + excellent benefits Requirements for Machine Learning Engineer:

• Strong commercial experience in a Machine Learning Engineering, AI Engineering, Software Engineering or closely related role
• Strong experience working with Python and the ability to write production-quality code
• Commercial or substantial project experience working with Large Language Models
• Must have either a PhD or at least 2 years of relevant experience working with LangChain and/or LangGraph
• Familiarity with machine learning frameworks and model deployment and inference technologies
• Experience using Python data and matrix manipulation libraries such as NumPy and pandas
• This company highly values a top academic history, so is looking for a 1st or 2:1 in Computer Science, Mathematics, Physics, Engineering, Machine Learning, Artificial Intelligence or another closely related subject with a minimum AAB at A Level, or international equivalent
• Strong analytical and problem-solving skills
• Comfortable working autonomously and making technical decisions, while also collaborating closely with a highly technical team Experience in any of the following would be beneficial:
• Python memory management and performance optimisation
• GPU optimisation and acceleration Responsibilities for Machine Learning Engineer:
• Deploy and integrate new machine learning models into advanced commercial software products
• Work with Large Language Models and modern AI orchestration frameworks including LangChain and LangGraph
• Collaborate with Software Engineers, Machine Learning specialists and Security Researchers
• Take projects from rapid prototyping and experimentation through to production implementation
• Optimise machine learning models for speed, scale, runtime and memory usage
• Help improve the performance and scalability of existing AI systems
• Develop innovative new features using machine learning and AI technologies
• Explore new technologies and approaches to solve complex technical challenges
• Build expertise across a broad range of technology stacks, with opportunities to specialise in particular areas What the role offers:
• The opportunity to work on genuinely cutting-edge AI and machine learning technology used to solve complex real-world challenges
• A highly technical environment working alongside leading Engineers
• Excellent benefits including private medical insurance for you and your family, enhanced family leave, life insurance, pension and additional annual leave Applications: If you would like to apply for this unique Machine Learning Integration Engineer role, then please send your CV via the relevant links! Keywords: Machine Learning Engineer / Machine Learning Engineer / AI Engineer / Applied AI Engineer / Generative AI Engineer / LLM Engineer / ML Software Engineer / AI Software Engineer / Machine Learning Software Engineer / ML Infrastructure Engineer / Model Deployment Engineer / AI Integration Engineer / Python / Large Language Models / LLM / LangChain / LangGraph / PyTorch / ONNX / ONNX Runtime / NumPy / pandas / Machine Learning / Artificial Intelligence / GPU Optimisation / Rust / ort / Model Inference / Model Acceleration / Deep Learning / Natural Language Processing / NLP / Generative AI / Computer Science / Mathematics / Physics / Engineering / Machine Learning Degree RedTech 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.