1 to 25 of 47 Machine Learning Jobs in Cambridgeshire

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 medical image analysis, working with a highly skilled team at the intersection of AI, healthcare and software engineering. Responsibilities Develop and optimise ML models for medical image processing … 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) Solid Python skills and familiarity with cloud or MLOps tools (Docker … this position seems like one that suits you and you have the necessary experience, then apply now! Otherwise, if you're looking for any other roles within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources. More ❯

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 medical image analysis, working with a highly skilled team at the intersection of AI, healthcare and software engineering. Responsibilities Develop and optimise ML models for medical image processing … 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) Solid Python skills and familiarity with cloud or MLOps tools (Docker … this position seems like one that suits you and you have the necessary experience, then apply now! Otherwise, if you're looking for any other roles within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources. 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 that run … Machine Learning, Information or Biomedical Engineering (or similar). Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development. Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM. Solid understanding of model optimisation for constrained hardware environments. Ability to write clean, maintainable, and well-tested code in a More ❯

process vast amounts of unstructured data to reveal hidden patterns in global emissions. You'll collaborate with our climate science team to translate cutting-edge research into production-ready ML solutions, leveraging our graph-structured emissions models to understand complex supply chain relationships. You'll engage with technical stakeholders across industries, building scalable ML systems that drive decarbonisation at global … industrial and economic data into our database and to generate training data for our models Collaborate with climate mitigation scientists and process engineers to translate domain expertise into scalable ML solutions Evaluate and recommend appropriate ML implementations by balancing upfront setup costs and effort against business value and company goals Guide the integration of out-of-the-box AI tools … to enhance internal operations and support front-end use cases Stay up-to-date with the latest ML theory, techniques, and out-of-the-box tools Contribute to technical documentation and present ML methodology insights to both internal teams and external stakeholders Required Qualifications Master's or PhD in Computer Science, Machine Learning, Data Science, or related field More ❯

process vast amounts of unstructured data to reveal hidden patterns in global emissions. You'll collaborate with our climate science team to translate cutting-edge research into production-ready ML solutions, leveraging our graph-structured emissions models to understand complex supply chain relationships. You'll engage with technical stakeholders across industries, building scalable ML systems that drive decarbonisation at global … industrial and economic data into our database and to generate training data for our models Collaborate with climate mitigation scientists and process engineers to translate domain expertise into scalable ML solutions Evaluate and recommend appropriate ML implementations by balancing upfront setup costs and effort against business value and company goals Guide the integration of out-of-the-box AI tools … to enhance internal operations and support front-end use cases Stay up-to-date with the latest ML theory, techniques, and out-of-the-box tools Contribute to technical documentation and present ML methodology insights to both internal teams and external stakeholders Required Qualifications Master's or PhD in Computer Science, Machine Learning, Data Science, or related field More ❯

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 Sector) Rate … 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 of … , 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 deploying ML models in production environments (cloud-native or on-prem). Familiar with data versioning, MLflow, and monitoring frameworks (e.g. Weights & Biases, Evidently). Strong communicator, capable of leading project delivery More ❯

our fast-growing technology company as Commercial Director. This pivotal role places you at the heart of our commercial operations, driving growth and delivering measurable impact through cutting-edge machine learning solutions across global industries. Role Overview As Commercial Director, you will take full ownership of our commercial strategy, leading initiatives that enhance revenue, expand market presence, and … with a track record of team development. Excellent communication skills, able to convey complex ideas clearly. Thorough understanding of commercial, contractual, and regulatory frameworks. Preferred Skills & Experience Familiarity with machine learning or data-centric technology products. Strong analytical thinking and problem-solving skills. Degree in business, commercial management, or a related field. What We Offer The chance to … work with advanced machine learning technology making a real-world impact. A collaborative and growth-oriented culture where your input matters. A key leadership role with direct influence on Intellegens’ commercial success. Flexible working arrangements with access to our vibrant Cambridge headquarters. About Intellegens Intellegens helps organisations accelerate innovation by applying advanced machine learning to complex More ❯

our fast-growing technology company as Commercial Director. This pivotal role places you at the heart of our commercial operations, driving growth and delivering measurable impact through cutting-edge machine learning solutions across global industries. Role Overview As Commercial Director, you will take full ownership of our commercial strategy, leading initiatives that enhance revenue, expand market presence, and … with a track record of team development. Excellent communication skills, able to convey complex ideas clearly. Thorough understanding of commercial, contractual, and regulatory frameworks. Preferred Skills & Experience Familiarity with machine learning or data-centric technology products. Strong analytical thinking and problem-solving skills. Degree in business, commercial management, or a related field. What We Offer The chance to … work with advanced machine learning technology making a real-world impact. A collaborative and growth-oriented culture where your input matters. A key leadership role with direct influence on Intellegens’ commercial success. Flexible working arrangements with access to our vibrant Cambridge headquarters. About Intellegens Intellegens helps organisations accelerate innovation by applying advanced machine learning to complex More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … networks on ARM's computing platforms and devising algorithms that will elevate us to the forefront of the future. Responsibilities: Develop an in-depth understanding of current and future ML workloads on ARM compute platforms with a focus on PPA (performance, power, and area). Engage in architecture exploration, requiring joint development of hardware, software, and algorithms. Serve as the … ML Algorithm expert within this process, including algorithm innovation and prototyping to drive and validate architectural features. Develop hardware-aware optimization algorithms capable of enhancing state-of-the-art networks on Arm platforms, including CPU, GPU, and NPUs. Required Skills and Experience: 3+ years of experience in ML Algorithm Development and/or Optimization environments. A Master's or PhD More ❯

main task will be to develop breakthrough technologies in the area of Vision and Language. You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges. While the target is mid- to long-term research, upon maturity of the research, the team is … product divisions and their Engineering teams, which will then be in charge of driving the commercialization. Role and Responsibilities 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 … 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 ❯

main task will be to develop breakthrough technologies in the area of Vision and Language. You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges. While the target is mid- to long-term research, upon maturity of the research, the team is … product divisions and their Engineering teams, which will then be in charge of driving the commercialization. Role and Responsibilities 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 … 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 ❯

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 - from signal processing to product 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 - from signal processing to product 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 sensors, powered entirely by ML. Now, they’re making their first technical hire. What You’ll Do: Take ML models already in development and optimize them for on-device performance Compress and adapt models to run efficiently in varied environments Collaborate closely with a small, highly technical founding team … Contribute to long-term technical strategy in a greenfield product space What They’re Looking For: Strong industry experience Proven experience in on-device ML (beyond image/video) Ideally, exposure to bio-signals such as audio or PPG Proficient in Python Comfortable working in a fast-paced, ambiguous start-up environment If you’re interested in making an application 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 ❯

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 ❯

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 ❯

On, 2 days Remote Our client are a UK based AI start-up. Brief: Designing and developing the software systems that enable us to run machine learning (ML) inference workloads at state of the art latencies and efficiency on FPGA-based hardware accelerators. Working throughout the stack to define the ways we program AI accelerators, from co-designing … the instruction sets together with the hardware engineering team, to developing the compilers and application APIs to interface the accelerator with ML models and frameworks. Responsibilities: Programming our bespoke hardware accelerators by writing compilers and DSLs Creating tools for debugging, profiling, and optimising programs for our accelerators Developing efficient applications and runtime libraries for server CPUs that utilise our accelerators More ❯

On, 2 days Remote Our client are a UK based AI start-up. Brief: Designing and developing the software systems that enable us to run machine learning (ML) inference workloads at state of the art latencies and efficiency on FPGA-based hardware accelerators. Working throughout the stack to define the ways we program AI accelerators, from co-designing … the instruction sets together with the hardware engineering team, to developing the compilers and application APIs to interface the accelerator with ML models and frameworks. Responsibilities: Programming our bespoke hardware accelerators by writing compilers and DSLs Creating tools for debugging, profiling, and optimising programs for our accelerators Developing efficient applications and runtime libraries for server CPUs that utilise our accelerators More ❯

On, 2 days Remote Our client are a UK based AI start-up. Brief: Designing and developing the software systems that enable us to run machine learning (ML) inference workloads at state of the art latencies and efficiency on FPGA-based hardware accelerators. Working throughout the stack to define the ways we program AI accelerators, from co-designing … the instruction sets together with the hardware engineering team, to developing the compilers and application APIs to interface the accelerator with ML models and frameworks. Responsibilities: Programming our bespoke hardware accelerators by writing compilers and DSLs Creating tools for debugging, profiling, and optimising programs for our accelerators Developing efficient applications and runtime libraries for server CPUs that utilise our accelerators More ❯

Bio is pioneering molecular mimicry to design medicines that outperform today's drugs for maximum patient impact. Powered by our proprietary MIMIC platform, a computationally driven bioplatform that couples machine learning with functional molecular mimicry, we engineer therapeutics to trigger precise biological responses, opening opportunities to treat targets previously deemed intractable. Our recently announced $600M research collaboration with … industrialize the operational backbone of our discovery platform, enabling scientists to work faster, smarter, and at scale, while ensuring high-quality, reproducible data generation to power our AI/ML-driven discovery engine. You will be a key member of the R&D Leadership Team, responsible for shaping strategy, integrating operational functions across discovery, and driving the technical and cultural … continuous improvement of a modern informatics stack for data capture, analysis, and sharing across teams. Ensure operational systems and digital infrastructure are optimized to support advanced computational models, including machine learning and AI-driven drug discovery. R&D Operations Excellence Build and manage an operational framework that enables scientists to seamlessly execute complex experimental programs with speed and More ❯

automation provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings. This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection … Take the lead on deployments while working alongside a highly experienced engineering team. What You'll Be Doing Designing and implementing machine vision inspection systems using AI/ML tools. Running trials and developing proof-of-concepts to validate deep learning models in real environments. Programming and configuring PLCs and SCADA systems. Installing, commissioning, and supporting automation systems … machine vision, automation, or similar engineering roles. Hands-on experience deploying machine vision or image analysis systems in industrial or research environments. Comfortable working with AI/ML platforms or deep learning-based vision tools. Strong troubleshooting and problem-solving skills in production environments. Excellent communication skills and ability to liaise with operators and engineers. Full UK More ❯

per day Required Skills & Experience: 8+ yrs of experience into QAProven experience as a Test Engineer/QA Engineer in a similar role with strong experience to AI/ML projects.Strong programming skills in Python (pytest, unittest, or other test frameworks).Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Hands-on experience with cloud platforms (AWS … Azure, or GCP) and CI/CD pipelines.Strong problem-solving skills and ability to communicate technical issues clearly. Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines.Validate machine learning models, ensuring accuracy, fairness, and robustness.Develop automated testing frameworks for data pipelines, model training, and inference.Perform functional, integration, regression, and performance testing on More ❯

day Required Skills & Experience: 8+ yrs of experience into QA Proven experience as a Test Engineer/QA Engineer in a similar role with strong experience to AI/ML projects. Strong programming skills in Python (pytest, unittest, or other test frameworks). Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with … Azure, or GCP) and CI/CD pipelines. Strong problem-solving skills and ability to communicate technical issues clearly. Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines. Validate machine learning models, ensuring accuracy, fairness, and robustness. Develop automated testing frameworks for data pipelines, model training, and inference. Perform functional, integration, regression More ❯

cleanliness We're excited if you have 5+ years of hands-on experience with automation systems 3+ years of programming experience, preferably with Python for scripting and working with machine learning tools Ability to design, implement, and optimize solutions leveraging LLMs via API Experience using various LLMs (Open AI, Anthropic APIs) and AI Frameworks like langchain, Tensorflow etc. … work independently Previous experience with Non-Functional Testing (Performance Testing, Stress Testing) Experience with infrastructure as code and orchestration technologies (Terraform, Kubernetes, CloudFormation) Certifications or training in AI/ML or AI testing (e.g., Coursera AI for Everyone, Google AI Engineer, ISTQB AI Testing Foundation) Benefits Roku is committed to offering a diverse range of benefits as part of our More ❯