10 of 10 Machine Learning Engineer Jobs in Cambridgeshire

We're partnering with an established AI consultancy seeking a Contract Machine Learning Engineer (NLP) to lead an NLP project for a major utilities client. You'll develop and deploy transformer models, LLMs, and RAG pipelines to extract insights from unstructured data. Remote, outside IR35, £650/day. Contract Machine Learning Engineer (NLP - Utilities … an expanding portfolio of project types across multiple industries. As they scale, their internal team is being deployed onto several new accounts - and they're now seeking a Contract Machine Learning Engineer to take ownership of an ongoing NLP project for a long-standing client in the utilities sector. The Project The utilities client handles large volumes … Data Science teams to ensure robustness, monitoring, and CI/CD alignment. Communicate progress clearly with stakeholders and deliver production-ready solutions independently. Ideal Experience 5+ years in applied Machine Learning, with significant hands-on NLP project experience. Deep understanding of transformer models and LLM fine-tuning. Proficient in Python, PyTorch or TensorFlow, and scikit-learn. Practical experience More ❯

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning … sound into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models … a hands-on technical role that offers full exposure to the early-stage startup experience — from prototyping and experimentation to strategic product decisions. Key Responsibilities Develop, optimise, and deploy machine learning models for on-device health monitoring. Experiment with architectures and apply techniques such as quantisation, pruning, and compression to improve efficiency. Collaborate with cross-functional teams to More ❯

Senior Machine Learning Engineer Location: Cambridge (Hybrid) Salary: £60,000 – £70,000 + Share Options A growing AI company is developing intelligent imaging software that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for … Build and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow More ❯

Senior Machine Learning Engineer Location: Cambridge (Hybrid) Salary: £60,000 – £70,000 + Share Options A growing AI company is developing intelligent imaging software that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for … Build and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow More ❯

for Sustainability Leadership for the 2025 Earthshot Prize, we're ready to grow. Join us in revolutionising decarbonisation and tapping into the $130B addressable market! The Role As a Machine Learning Engineer at Neutreeno, you'll lead the development of intelligent systems that power our emissions and decarbonisation capabilities. Working at the cutting edge of machine learning and sustainability, you'll build platforms that transform complex data into actionable insights for thousands of companies globally. Your innovations will directly power breakthrough solutions that identify critical decarbonisation opportunities across entire industries and supply chains. You'll push the boundaries of what's possible with AI-driven climate tech developing advanced models that process vast amounts … tune out-of-the-box models for matching textual and quantitative data to entries in our emissions database with uncertainty estimation Develop our emission intensity inference model using deep learning techniques that leverage uncertainty Advise on the out-of-the-box Large Language Models to extract data from a variety of sources Advise on construction of data-pipelines to More ❯

for Sustainability Leadership for the 2025 Earthshot Prize, we're ready to grow. Join us in revolutionising decarbonisation and tapping into the $130B addressable market! The Role As a Machine Learning Engineer at Neutreeno, you'll lead the development of intelligent systems that power our emissions and decarbonisation capabilities. Working at the cutting edge of machine learning and sustainability, you'll build platforms that transform complex data into actionable insights for thousands of companies globally. Your innovations will directly power breakthrough solutions that identify critical decarbonisation opportunities across entire industries and supply chains. You'll push the boundaries of what's possible with AI-driven climate tech developing advanced models that process vast amounts … tune out-of-the-box models for matching textual and quantitative data to entries in our emissions database with uncertainty estimation Develop our emission intensity inference model using deep learning techniques that leverage uncertainty Advise on the out-of-the-box Large Language Models to extract data from a variety of sources Advise on construction of data-pipelines to More ❯

Machine Learning Engineer We are working with a new start up company who are developing state-of-the-art medical devices to monitor health systems. Experience Required: MSc or PhD in ML, Biomedical Engineering, or related field Strong experience with PyTorch/TensorFlow and Python Hands-on experience with TinyML or edge ML frameworks (TFLite, TVM, etc. … Skilled in model optimization for constrained devices Comfortable in a startup environment - proactive, collaborative, and adaptable What you'll do: Build and optimize deep learning models for on-device biosignal monitoring Work on model compression, quantization, and other techniques for edge deployment Collaborate closely with the CTO and technical team to deploy models in production Contribute across the stack More ❯

Machine Learning Engineer We are working with a new start up company who are developing state-of-the-art medical devices to monitor health systems. Experience Required: MSc or PhD in ML, Biomedical Engineering, or related field Strong experience with PyTorch/TensorFlow and Python Hands-on experience with TinyML or edge ML frameworks (TFLite, TVM, etc. … Skilled in model optimization for constrained devices Comfortable in a startup environment - proactive, collaborative, and adaptable What you'll do: Build and optimize deep learning models for on-device biosignal monitoring Work on model compression, quantization, and other techniques for edge deployment Collaborate closely with the CTO and technical team to deploy models in production Contribute across the stack More ❯

Machine Learning Engineer UK – travel to Cambridge £80,000-£85,000 We're working with an early-stage, deep tech start-up led by PhD-level founders with a strong background in audio-focused machine learning. Backed by solid technical vision and real-world applications, they’re developing ground-breaking software that transforms earbuds into health More ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to: Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP). Visual LLMs (e.g. LLaVA). … Interact with product and engineering teams for the purpose of technology transfer. Skills and Qualifications Key Skills Required: Research experience in the fields of Computer Vision and/or Machine Learning. Familiarity with fast prototyping Deep Learning frameworks such as PyTorch. A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL More ❯