1 to 25 of 32 Permanent Machine Learning Jobs in Cambridge

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 ❯

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 ❯

Job Description: We are seeking a highly motivated Automation Engineer to join our data capture and validation laboratory based in Cambridge. In this role, you will collaborate closely with machine learning and algorithms teams to develop automated processes for validating new product features. This is a hands-on position involving robotics, camera systems, and lighting equipment. The ideal … candidate will have experience working with robotics or 3D geometry, supported by strong software engineering skills. An interest in machine learning, computer vision, or software quality assurance is highly desirable. This is a full-time, on-site role, and candidates must be able to work from our Cambridge office. Key Qualifications Master’s degree (or equivalent) in an … Minimum of 3 years’ industry experience, ideally within software or robotics. Proven expertise in developing autonomous robotic solutions. Strong understanding of 3D geometry. Exceptional software engineering skills. Interest in machine learning or computer graphics is advantageous. Comfortable with hands-on, practical work in a laboratory environment. More ❯

to design solutions that push the boundaries of camera technology and image quality. Key Responsibilities: Design, develop, and optimize algorithms for camera image processing, calibration, and quality assessment. Implement machine learning and deep learning models for tasks such as denoising, segmentation, HDR imaging, and artifact detection. Collaborate with hardware and software teams to integrate algorithms into camera … image quality evaluation and performance monitoring. Required Skills & Experience: Proven experience in camera algorithms, image processing, or computer vision. Strong programming skills in Python, C++, and MATLAB. Experience with machine learning/deep learning frameworks such as PyTorch or TensorFlow. Knowledge of imaging sensors, optics, and camera systems. Hands-on experience with image quality assessment, segmentation, or 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 ❯

where scalable systems meet real-world AI? This Cambridge-based team is building products that make complex, data-driven decisions seamless. Their work bridges the gap between cutting-edge machine learning and production-ready software used by global customers across sustainability, healthcare, and advanced engineering. You’ll join a collaborative engineering group that blends software craftsmanship with deep … seamlessly with machine learning models and data pipelines Implementing data processing and automation workflows, connecting real-world systems to intelligent decision layers Working closely with AI/ML engineers to deploy and scale models in production environments Contributing to architecture and design discussions, helping shape the technical direction of new products Building and maintaining CI/CD pipelines … Strong commercial experience developing production-grade systems in Python with proven experience at Senior level Experience with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Exposure to ML model integration, APIs, or data-driven systems (you don’t need to be a Data Scientist) A problem-solving mindset and passion for building software that drives impact Why join 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 ❯

Summary A Research Director at Samsung AI Center leads strategic research initiatives and manages teams of research scientists and engineers working on cutting-edge technologies, particularly in areas of machine learning, generative AI, model compression, optimization, on-device deployment, and emerging technologies that align with Samsung's long-term vision and product ecosystem. Role and Responsibilities Key Responsibilities … collaborative environment that encourages creativity, risk-taking, and breakthrough thinking Build and maintain high-performing, inclusive research teams that deliver exceptional results Education & Experience Education PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical field 10+ years of post-PhD research experience with a strong publication record in top-tier venues as both main contributor and … translating research innovations into real-world products, deployments, or measurable business impact Experience with technology transfer and commercialization processes Technical Expertise Deep expertise in relevant areas of AI/ML, including at least some of large language models, multi-modal generative AI, speech and audio analysis, computer vision, mobile AI, or edge computing Strong understanding of current research trends, emerging More ❯

changing how the world produces and consumes regulatory information. As a regulatory data provider, we process the world’s regulation using AI to transform what is human-readable into machine-readable and machine-consumable data. RegGenome is a commercial spin-out of the Regulatory Genome Project (RGP), a pioneering public-private partnership with the University of Cambridge, Judge … describing regulation to create a regulatory commons. Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Backed by £15 million in funding, we have established a solid product-market fit and are experiencing significant commercial traction with global regulatory bodies … To support our ambitious growth plans, we’re hiring a Mid-Level Infrastructure Engineer to join our remote-first, cross-functional tech team of software engineers, data scientists, and ML specialists. Our core platform processes millions of regulatory documents through hundreds of machine learning models, supporting a rapidly growing repository of global regulations. In this hands-on role More ❯

clients across the UK and internationally make healthcare more transparent and efficient.You’ll be part of a small, agile team where your work will have real impact and where learning and growth are built into the culture. Whether it’s expanding your technical toolkit or getting closer to the business side of data, this role is designed to help … Collaborating across teams to improve data workflows and infrastructure What You’ll Bring Solid Python and SQL skills Clear verbal and written communication A genuine interest in AI, LLMs, machine learning, and deep learning — if you’ve worked with them, great; if not, you’ll be supported to learn This is more than just a job it More ❯

Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications More ❯

complex datasets to uncover insights that maximize partner ROI and user engagement. Please apply if you have: Knowledge of auction theory, bidding and pacing strategies, dynamic pricing models or machine learning concepts related to auctions. Strong problem ownership and solution oriented approach. Solid analytical skills with proficiency in SQL and Python. Proven track record of collaborating with technical More ❯

where the GPU, NPU (Neural Processing Unit) and other modules are designed for deep, synergistic cooperation. Your work will be critical to unlocking the full potential of neural rendering, machine learning and other technologies where traditional rasterization pipelines seamlessly fuse with real-time neural networks to generate imagery. You will be the bridge between our software and hardware … mapping neural networks efficiently onto tensor cores. Hands-on experience implementing or optimizing neural rendering technologies (e.g., NeRF, DLSS/FSR, neural graphics primitives). Deep understanding of the ML compiler stack (e.g., MLIR, LLVM). Experience with hardware virtualization (SR-IOV) for GPU/NPU resources. What we offer 33 days annual leave entitlement per year (including UK public … Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development More ❯

from bare-metal servers to cloud abstractions — and motivated to understand how each layer fits together. Naturally inquisitive and eager to dive deep into new technologies; you thrive on learning as you go. Prior experience with on-call rotations and incident response is a plus. Familiarity with OpenTelemetry and related observability tooling is advantageous. We encourage you to apply … application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective More ❯

electronic products alongside industry experts. As a Graduate C++ Software Engineer, you will be responsible for developing and enhancing AI features within their engineering tools, applying advanced AI and machine learning methods to solve complex technical challenges. You will also have the opportunity to guide and educate team members on best AI practices, evaluate algorithms, document results, and More ❯

skills Excellent communication and documentation abilities Degree or equivalent experience in engineering or a related field Desirable Experience in mission critical communications or related sectors Familiarity with AI/ML integration within communications platforms Keywords Product Architecture, 4G, 5G, Embedded Systems, RF Design, Qualcomm, IoT, Linux, Android, AWS, Mission Critical Communications, Leadership More ❯

customer experiences Siri is a technology that is used by millions of people every day across the world. As a Full Stack Engineer (Frontend & Design Focus) within Apple's Machine Learning and AI team you will have the opportunity to develop internal, web-based tools which will have a big impact on the future of Siri. The Cambridge More ❯

environments such as Azure. Experience with Azure based AI technologies such as Azure AI Foundry Experience working with LLMs and Agentic AI on real-world problems. Strong understanding of machine learning algorithms and natural language processing techniques. Strong inter-personal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions. Experience with More ❯

APIs. A deep understanding of GPU architectures and the workloads GPUs are likely to see, and thus what characteristics are important, in different scenarios such as gaming, XR, and machine learning. You combine the above with a good C++ development experience and know your way around tools, such as version control systems. You are self-motivated and ambitious, and More ❯

tracing). Hands-on experience with one or more of OpenGL ES, Vulkan, DirectX, or Metal APIs. A deep understanding of GPU architectures and workloads, including gaming, XR, and machine learning. Excellent C++ development skills and familiarity with version control systems. Self-motivation, ambition, and the ability to work collaboratively in a team environment. A BSc, MSc, or PhD More ❯

Education: Bachelor’s or Master’s in Engineering or related field (or equivalent experience). Nice to Have: • Background in the mission critical communications sector • Experience integrating AI/ML into communication platforms More ❯

driving innovation. Education: Bachelors or Masters in Engineering or related field (or equivalent experience). Nice to Have: Background in the mission critical communications sector Experience integrating AI/ML into communication platforms More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯