1 to 25 of 131 Machine Learning Jobs in Cambridge

good software engineering fundamentals. Experience could come from professional work, internships, academic projects, open-source contributions, or other practical software development. An interest in machine learning software and how AI models run on different hardware is important. Some experience with, or exposure to, machine learning frameworks … would be beneficial but is not essential. In this role, you will contribute to developing, testing, and improving software across different parts of the machine learning software stack. Working alongside experienced engineers, you will help investigate functional and performance issues and contribute to solutions across runtimes, compilers, drivers ...

Specific Skills and Experience Required We’re looking for strong C++ software development experience , ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar … design, develop, integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Beneficial but Not Required Experience across every area below ...

create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through … anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains ...

Selection changes the language of the page/content Sr. Machine Learning Research Engineer, Siri Speech Cambridge, England, United Kingdom Machine Learning and AI Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help … Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in efficient machine learning for effective dialog systems and foundation models—ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text ...

Research Assistant/Associate in Machine Learning for Healthcare [General Description – include all relevant details from the source] The University of Cambridge is inviting applications for the position of Research Assistant/Associate in Machine Learning for Healthcare. This role is based within a leading research … group focused on the development and application of advanced machine learning methods to healthcare challenges. The successful candidate will contribute to cutting-edge research projects aimed at improving clinical decision-making, patient outcomes, and healthcare system efficiency through the use of artificial intelligence and data-driven methodologies. Responsibilities ...

Bioinformatician Are you a talented Bioinformatics Scientist with a passion for data science, machine learning, and genomics? We are seeking an ambitious and highly motivated individual to join an innovative research and technology team developing cutting-edge solutions in the field of functional genomics. This is an exciting … Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. ...

Python Software Engineer (Machine Learning AWS) Remote UK to £90k Are you a data savvy Python Software Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands‐on role as part of a friendly and supportive international team … you. About you: You are a data savvy Python Software Engineer with advanced coding skills You have experience of across the full lifecycle of ML model development including into production You're collaborative, enjoy problem solving and working with others to overcome technical challenges You have a strong knowledge ...

Overall purpose: Experienced embedded firmware/systems engineer with specific knowledge of machine learning and machine vision to join the Electronics and Software group. Main duties/key responsibilities: Work directly with customers and clients in multidisciplinary teams to understand their requirements, define tasks and take products … technical and non-technical audiences. Define software system architecture, functional requirements, features and use cases. Use Python, C and C++ with machine learning frameworks to create intelligent embedded systems employing wired and wireless communications, sensors, user interfaces, and control for a range of applications. Develop high-quality code ...

asked to work on teams other than Triton. The Team The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – PyTorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness … Understanding of computing architectures. Experience of maintaining and supporting a complex code base. Experience in profiling/optimising high performance code. Experience of writing ML kernels. Experience of using and/or development of ML Frameworks. Experience in a computationally intensive engineering field. In addition to a competitive salary, Graphcore ...

Postdoc in Bayesian machine learning, AstraZeneca, Cambridge, UK Mar 29, 2018 PREDICTING DRUG TOXICITY WITH BAYESIAN MACHINE LEARNING MODELS We’re currently looking for talented scientists to join our innovative academic-style Postdoc. From our centre in Cambridge, UK you’ll be in a global pharmaceutical … with the guidance and knowledge you need to develop your career. You will be part of the Quantitative Biology group and develop comprehensive Bayesian machine learning models for predicting drug toxicity in liver, heart, and other organs. This includes predicting the mechanism as well as the probability ...

Digital Technology, Engineering and Manufacturing, Supply Chain and Logistics Software Engineer Intern (12 months) - Starting Summer 2027 Project Title: Machine learning for future energy applications About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks … sciences to meet the current and future challenges of the industry. Description & Scope: You will join the Systems and Processes team. We investigate how machine learning, optimization, and AI can be used to understand next-generation energy and thermal management systems. We use techniques like reinforcement learning ...

Selection changes the language of the page/content AIML - Machine Learning Research (Speech-to-Speech Translation) - TMI Cambridge, England, United Kingdom Machine Learning and AI The Machine Translation and Multilingual Intelligence team is looking for outstanding engineers and scientists to build the next generation … talk naturally with anyone, in any language, in real time. Description You will take part in the next revolution at the confluence of machine translation, speech technology and human-computer interaction. We are building end-to-end speech-to-speech translation: models that listen, translate and speak ...

team. This is a hands-on role sitting at the intersection of modern machine learning and quantum computing — with two complementary directions. ML for quantum — using neural networks and learning-based methods to accelerate quantum computation (e.g. circuit optimisation and compilation, error mitigation, calibration, variational-parameter optimisation … surrogate modelling of quantum processes). ML on/with quantum — building and adapting classical AI methods, including neural networks and large language models, so they can benefit from quantum hardware and algorithms. You don't need to be a world expert in either quantum or LLMs — but you should ...

evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software … C++ software development skills. Expertise in deep learning from model training to optimisation and evaluation. Experience in distributed training or inference of ML models across 64+ accelerators. Capable of designing, executing and reporting from ML experiments. Developed deep understanding of performance bottlenecks and how to overcome them. Ability ...

offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. The Data Science team at Qureight turns imaging and clinical data into … clinical trials. We combine Qureight’s quantitative CT biomarkers with clinical data from sponsors, CROs and research cohorts, using statistical modelling, longitudinal analysis and machine learning. Our work helps biopharma sponsors choose endpoints that detect change earlier, build external control arms from real-world data, and design smaller ...

fixed-term post where funding is available for two years.The research project investigates how to develop fundamental theory and methods that enable machine learning systems to be deployed in a trustworthy manner. The project spans human-AI interaction, fairness, transparency, privacy and other approaches to optimising deployed … systems as human-machine teams. The postdoc will conduct research developing and evaluating methods at the frontier of trustworthy AI, validating them on real-world problems in partnership with domain experts and stakeholders, and publishing and presenting results at leading venues in machine learning (such as NeurIPS ...

evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software … C++ software development skills Expertise in deep learning from model training to optimisation and evaluation. Capable of designing, executing and reporting from ML experiments. Developed deep understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a dynamic environment Enjoy cross-functional work collaborating with ...

looking for a software engineer with a strong analytical approach to join the team and help ensure the best performance with most recent Arm ML software, systems and IP. How will I contribute? You will run & analyse ML/AI performance on next-generation Arm IP, and feed-back into … profiling tools, performance counters, system traces or telemetry (differentiating). Experience with working on pre-silicon platforms such as FPGA (differentiating). Knowledge about ML/AI workloads can be a benefit, but can be learned on-the-job. Interpersonal Skills Passion for analysis and improvement. Capable of working both ...

first goal is to discover herbicides that revolutionise crop protection while minimising environmental impact. The role As a Senior Machine Learning (ML) Scientist you will build the next generation of our molecular glue discovery and design platform. You will set technical direction and own the quality … push the frontier of AI for molecular design and turn that progress into crop protection that works. What you will bring Significant experience applying ML to real-world problems in structural biology, chemistry or drug discovery. Proven experience leading ML teams and setting technical direction in a fast-paced, multi ...

first goal is to discover herbicides that revolutionise crop protection while minimising environmental impact. The role As a Senior Machine Learning (ML) Scientist you will build the next generation of our molecular glue discovery and design platform. You will set technical direction and own the quality … push the frontier of AI for molecular design and turn that progress into crop protection that works. What you will bring Significant experience applying ML to real-world problems in structural biology, chemistry or drug discovery. Proven experience leading ML teams and setting technical direction in a fast-paced, multi ...

experiences to drive meaningful customer impact. Description Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.- Design and execute observational and experimental studies of causal inference- Work with large, complex data sets. … highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams. Minimum Qualifications Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies Proficiency in scripting languages for data processing ...

technical support to partners on firmware, software, Machine Learning, and Computer Vision related issues on Arm-based systems. Work closely with hardware, ML, and applications engineering peers, as well as cross-functional teams across Engineering, the Business Unit landing team, and Product Management. Investigate and reproduce complex customer … across geographically distributed and cross-functional teams. Excellent communications skills both written and verbal “Nice To Have” Skills and Experience: Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes. System bring-up and JTAG debugging expertise Good background of system performance analysis Experience with ...

Technology Ltd is seeking an experienced embedded firmware/systems engineer with expertise in machine learning … machine vision. The role involves working directly with customers to translate requirements into deliverable embedded solutions, using Python, C and C++ with ML frameworks, and developing production-ready code. You will define software architecture, system requirements and use cases, collaborating with the wider team and reporting to the Head ...

reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: PhD in Computer Science, Machine Learning, or a related field, with 2+ years of relevant industry or post-PhD research experience or Master in related field, with 5+ years … these topics. Knowledge of human-inspired image/video quality metrics. Strong programming skills in Python. An in-depth understanding of the deep learning approaches and working experience with machine learning framework/packages (e.g, PyTorch). Desired: Background knowledge of video compression techniques and standards such ...

there's no telling what you could accomplish. Apple is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team works with teams across Apple to develop state-of-the-art privacy-enhancing technologies for measurement and machine learning. … generative AI systems while preserving user privacy. Operate independently to solve complex problems at the intersection of privacy-preserving technology, applied cryptography and machine learning. Successful candidates must possess a strong technical background and a keen interest or experience in developing software on iOS or similar resource constrained systems. ...