1 to 25 of 69 Machine Learning Jobs in Cambridge

Overview At Microsoft Research AI for Science we believe deep learning has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society, including sustainable materials and discovery of new drugs. For our labs in Amsterdam (NL), Cambridge (UK) and Berlin … depth understanding of open-source machine learning frameworks such as PyTorch and/or Jax. Experience in designing, developing and deploying ML systems. Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs. Ability to work in an interdisciplinary collaborative environment ...

Overview We are seeking Senior Machine Learning Researcher candidates for our research in the area of People-Centric AI at Microsoft Research Cambridge (UK). The successful candidate will be responsible for pushing the state of the art in machine learning to enable human agency … mentoring junior researchers. Preferred Demonstrable ability to define an ambitious, original research agenda based on deep sociotechnical thinking, including the ability to formulate ML research questions from complex sociotechnical problem spaces. Experience working in a multidisciplinary team, including the ability to clearly translate technical concepts, ideas, and requirements ...

translate findings into technical and design insights that shape future AI systems. Qualifications Required/Minimum Qualifications: A PhD in a relevant field (e.g. ML, Computer Science, Mathematics) or equivalent industry experience. Expertise in ML, evidenced by top-tier publications and/or experience. Demonstratable experience in conceptualizing, implementing … iterate their technical solutions with feedback from the team/users, rather than seeking to solve problems independently. Preferred/Additional Qualifications: Broad ML education and experiences, covering, for example: statistical methods, probabilistic modelling, RL, deep learning, LLM training, decision-making processes. Experience with multi-modal models and world ...

problems in healthcare and biomedical discovery. As an intern within our team, you will have the opportunity to: Deepen your expertise in multimodal deep learning and contribute to our ambitious research agenda Conduct experimentation with world-class computational resources Learn in a team with a strong culture of collaboration … rigorous research Responsibilities The ideal candidate will have strong intellectual curiosity and passion to solve real-world problems in healthcare using machine learning. Responsibilities will include: Co-development of an internship project in collaboration with the supervisor Design, implementation and evaluation of new machine learning methods ...

these foundations for systems, the sciences, and human-centred AI. We are seeking interns to collaborate with our teams on core areas of ML: Efficiency, Memory, Cognition and Trust. We offer a vibrant environment for researchers with unique opportunities to collaborate across disciplines and teams. Internship Duration: 12 Weeks Locations … Cambridge, UK Responsibilities Contribute to a highly ambitious research agenda within ML that lays the groundwork for advancements across a wide range of scientific and technological domains. Collaborate and foster a culture of innovation with a team of world-class researchers and scientists to explore and solve fundamental problems ...

image analysis, life sciences/bio, machine learning, CNNs Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D/4D (space and time) datasets in the life sciences, using a combination of image processing … machine learning techniques. You will support equally qualified colleagues with a life sciences background, putting to work your prodigious Python skills to advance the state of a growing software platform which forms the bedrock of future research for a global scientific audience. You will bring: A relevant ...

Purpose of position As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, you'll work closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities will include managing existing ML workloads … building new batch and on-demand pipelines to support advanced AI/ML models. You'll also contribute to developing Generative AI solutions and applications for the emerging Agentic Era. You'll collaborate with a global team to create scalable data architectures optimised for AI/ML, source and prepare ...

when needed. Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

Responsibilities Design and develop innovative software solutions in collaboration with the engineering team Build tools and methods for data gathering, preprocessing, and optimisation for machine learning and algorithm development Oversee and maintain operational company systems (Linux-based) Contribute across a broad mix of R&D, software, data science … experience in signals, RF, or SDRs Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud) Academic or project experience in ML, data science, or digital signal processing Enthusiasm for working in a startup environment and taking ownership of initiatives What’s on Offer Entry-level role ...

Research Director 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. About … teams of 10+ members. Track record of translating research innovations into real-world products or business impact. Technical Expertise Deep knowledge in AI/ML, including large language models, generative AI, computer vision, and edge computing. Experience with large-scale distributed systems, model optimization, and on-device deployment. Familiarity with ...

Overview Are you passionate about digital hardware verification? This is a fantastic opportunity to move into a team developing hardware to support Machine Learning and Artificial Intelligence, key technologies for the future of computing. Working on the cutting edge of Arm IP, you will help craft technology … candidates with a range of experience levels. Responsibilities Joining our growing and versatile team, you’ll contribute to the development and verification of groundbreaking ML and Neural Network hardware. Cooperating with colleagues across global design centers, you’ll drive meaningful projects and help deliver Arm’s next-generation IP using ...

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 … 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 ...

insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. What You'll Do Analyze large, complex datasets to uncover patterns, develop insights … model-driven investigations to support research and product teams Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale Present findings through well-structured dashboards, reports, and documentation Qualifications Kaggle Competitions Grandmaster ...

ensuring data quality and consistency prior to analysis. Explore and analyse datasets using a range of analytical tools – including statistical methods, regression analysis, and machine learning techniques – to identify key trends and generate actionable insights for research projects. Create clear, engaging data visualisations and dashboards to communicate … collaboratively and communicate clearly within a team. Self-starter with a positive attitude, curious mindset, and willingness to embrace new challenges. Commitment to continuous learning and professional development. Training Ongoing employment and career progression. Apprenticeship Standard Data analyst (level 4) Training Provider DIGITAL NATIVE (UK) LIMITED Working Week Monday ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

across multiple projects simultaneously and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware, sensors, and complex systems Rapidly learning and applying new technologies, tools, and approaches Contributing to problem-solving throughout the entire development lifecycle Supporting software used to control hardware platforms, custom … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, optimisation, statistics, or algorithm development Experience developing mobile applications (iOS or Android) Suitable for both ...

skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary The Graduate System Software QA engineer supports the design and delivery of software validation and quality assurance solutions … with all System Software development teams supporting a culture of Test-Driven Development. Candidate Profile Essential Bachelor or Master's in Computer Science, Maths, Machine Learning, Data Science, or related field Experience working with linux internals. Strong Proficiency in: C, C++ and Python. Possess excellent written and oral ...

estimate software tasks and work to schedule Bachelors/Masters in Computer Science/Computer Engineering/Electrical Engineering or equivalent. Experience with inferencing machine learning models Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees ...

across Python versions. Automatic Instrumentation: Develop logic to automatically capture code execution, parameters, and metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build ...

Experience with data lakes and other data storage mechanisms utilising S3 (e.g. Artifactory, LakeFS, Databricks) Knowledge of enhancing engineering environments through insights driven automation, machine learning or artificial intelligence. In Return We are proud to have a set of behaviours that reflect our culture and guide our decisions ...

limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential … principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardwaresoftware product ...

limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential … principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware–software ...

though they typically begin in the summer. Qualifications Required/Minimum Qualifications: Currently enrolled in or accepted to a PhD program in Computer Science, Machine Learning, Electrical Engineering or a related STEM field; or proven comparable experience in industry. Preferred/Additional Qualifications Experience with LLM architectures ...