Job Description: Arm's MachineLearning Group is seeking highly motivated and creative Software Engineers to join the Cambridge-based ML Content, Algorithms and Tools team! This MachineLearning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large … optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities: Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm … Tensorflow Lite • Experience of developing and maintaining CI/testing components to improve automation of model analysis • Good knowledge of Python for working with ML frameworks • Good knowledge of C++ for working with optimised ML libraries • Previous experience of machinelearning projects • Experience with deployment optimizations on machineMore ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Adecco
Job Title: MachineLearning Research Scientist Location: Cambridge/Hybrid Salary: £depending on experience + benefits Company Overview: Our client is a pioneering machinelearning and artificial intelligence software house, renowned for developing some of the most advanced technologies in the AI domain. The team is … of mathematicians, engineers, and is led by experienced entrepreneurs known for creating award-winning tech companies. Job Description: We are seeking a highly skilled MachineLearning Research Scientist to join our innovative team. The ideal candidate will have a PhD in a mathematical, scientific, engineering, or computing subject … strictest confidence, and we will always speak to you before discussing your CV with any potential employer. Keywords: PhD, AI, Cambridge, Adecco, LLM, NLP, MLMore ❯
Senior MachineLearning Engineer (Medical AI) – Cambridge/Remote £60,000 - £70,000 + Stock options Are you passionate about using AI to transform healthcare? An innovative, Cambridge-based medical technology start-up is seeking a Senior MachineLearning Engineer to join their growing team. This … machinelearning or deep learning, including at least 2 years in image processing (ideally medical imaging). Proficiency in Python and ML/DL frameworks (PyTorch or TensorFlow). Strong theoretical and practical understanding of ML/DL techniques, demonstrated by academic or professional projects. Experience with … Git, Linux, and command-line tools. Desirable: Experience with medical image processing, DICOM, ITK/SimpleITK. Familiarity with deploying ML models or MLOps tools (MLFlow, Kubernetes, DVC, Docker). Understanding of the software development lifecycle. Clinical research or commercial experience in regulated/healthcare domains. If you're interested in More ❯
Senior MachineLearning Engineer (Medical AI) – Cambridge/Remote £60,000 - £70,000 + Stock options Are you passionate about using AI to transform healthcare? An innovative, Cambridge-based medical technology start-up is seeking a Senior MachineLearning Engineer to join their growing team. This … machinelearning or deep learning, including at least 2 years in image processing (ideally medical imaging). Proficiency in Python and ML/DL frameworks (PyTorch or TensorFlow). Strong theoretical and practical understanding of ML/DL techniques, demonstrated by academic or professional projects. Experience with … Git, Linux, and command-line tools. Desirable: Experience with medical image processing, DICOM, ITK/SimpleITK. Familiarity with deploying ML models or MLOps tools (MLFlow, Kubernetes, DVC, Docker). Understanding of the software development lifecycle. Clinical research or commercial experience in regulated/healthcare domains. If you're interested in More ❯
Senior MachineLearning Engineer (Medical AI) – Cambridge/Remote £60,000 - £70,000 + Stock options Are you passionate about using AI to transform healthcare? An innovative, Cambridge-based medical technology start-up is seeking a Senior MachineLearning Engineer to join their growing team. This … machinelearning or deep learning, including at least 2 years in image processing (ideally medical imaging). Proficiency in Python and ML/DL frameworks (PyTorch or TensorFlow). Strong theoretical and practical understanding of ML/DL techniques, demonstrated by academic or professional projects. Experience with … Git, Linux, and command-line tools. Desirable: Experience with medical image processing, DICOM, ITK/SimpleITK. Familiarity with deploying ML models or MLOps tools (MLFlow, Kubernetes, DVC, Docker). Understanding of the software development lifecycle. Clinical research or commercial experience in regulated/healthcare domains. If you're interested in More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Speechmatics
At Speechmatics, we are searching for a Director of MachineLearning to help us push the boundaries of applied AI and transform how the world interacts with voice technology. As pioneers in machinelearning for speech, our mission is to Understand Every Voice-a vision that … steer our innovation in Conversational AI and guide us on the path to achieving and surpassing the "Speech-first Turing Test." As Director of ML, this is your chance to make an impact on a global scale. You will lead and inspire world-class teams of researchers and machinelearning engineers, driving breakthroughs that will shape the future of AI-driven speech technology. What you'll be doing: Shape and articulate a forward-looking vision for MachineLearning at Speechmatics, aligning research priorities with our ambitious product roadmap. Identify and execute high-impact research opportunities More ❯
environment that encourages equality, innovation, and professional growth. Our client is a cutting-edge biotech company based in Cambridge, UK, leveraging artificial intelligence and machinelearning to revolutionize drug discovery and therapeutic development. They are at the forefront of integrating computational approaches with biological systems to accelerate research … Interpret and visualize AI-driven predictions to guide experimental design and decision-making. Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge-sharing and innovation. Requirements PhD or MSc in MachineLearning, Computational Biology, Bioinformatics, Computer Science, or … particularly in deep learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data. Experience working with large-scale datasets More ❯
University Assistant Professor in MachineLearning 2025-02-26 Cambridge The successful candidate will contribute to research and teaching in Information Engineering, developing an independent research portfolio, securing grants, and mentoring students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd … and 4th-year modules in machinelearning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students. Research: The candidate will be expected to contribute to the research and teaching within Information Engineering. Assistant Professors are expected to develop their own research portfolio … undergraduate course, with an emphasis on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machinelearning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep LearningMore ❯
Permanent £55,000 - £85,000 Hybrid Cambridgeshire, United Kingdom Updated on: 14-04-2025 ROLE OVERVIEW: We are currently looking for a MachineLearning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the MachineLearning Scientist, you will be … responsible for driving the development of innovative machinelearning methods for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. Develop and extend AI approaches that integrate structural and chemical data … industry experience in machinelearning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: MachineLearning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯
Cambridge, Cambridgeshire, Staines, Surrey, United Kingdom
Redline Group Ltd
MachineLearning Researcher - LLM/VLM Are you a PhD-educated MachineLearning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge … As a MachineLearning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices. Design and develop groundbreaking … MachineLearning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Mewburn Ellis LLP
Trainee Patent Attorney - AI, MachineLearning and Computer Science - UK based Cambridge, Bristol, London or Manchester Life as a trainee Patent Attorney means using your academic background in a stimulating and varied way. Working on innovations and inventions at the forefront of your scientific field. "Working with different … well." Lucy, Attorney At Mewburn Ellis we're collegial, supportive and progressive. With an industry-leading training programme and a rotation scheme that keeps learning fresh and insightful we ensure that you're set up to develop quickly and learn about the profession from a variety of partners from … found attorneys at Mewburn to be approachable and easy to get along with - they are really great people to learn from." Dan, Attorney AI, MachineLearning and Computer Science at Mewburn Ellis Exciting developments in AI and machinelearning are driving disruptive innovation in all fields More ❯
perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos Altos Labs is seeking a Staff MachineLearning Engineer who can accelerate and optimize our … progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise. It will involve close collaboration with computational scientists from a diverse range of disciplines … including molecular modeling, computational biology, discrete simulation, machinelearning, and artificial intelligence. Responsibilities: Designing, building, and evaluating large-scale machinelearning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc. Motivated to build, deploy, and manage systems to accelerate large More ❯
education. To power these features PROSE has developed a powerful and flexible framework for program synthesis that leverages techniques from both logical reasoning and machinelearning (including LLMs) and combines them in unique ways to synthesize programs automatically. This approach has been recognized with frequent papers at top … tier conferences and awards, including best paper and test-of-time awards. We invite machinelearning researchers to apply for a full-time position on the PROSE team at Microsoft. The recent success of large language models (LLMs) creates an opportunity to take a qualitative step forward, to … interact with the broader academic community. Qualifications Required Qualifications Doctorate in Computer Science or relevant field OR equivalent experience. 2+ publications in top-tier machinelearning or artificial intelligence (such as AAAI, NeurIPS, ICML, ICLR, EMNLP, ACL, and comparable). Experience in training transformer-based models, including data More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Computational Chemistry List, Ltd. (CCL)
MachineLearning Scientists/Engineers, Cambridge, UK Astex Pharmaceuticals is a global leader in innovative drug discovery, utilizing its proprietary Fragment-Based Drug Discovery platform to develop new drug candidates, with several progressing in clinical trials. The company focuses on Neurological Disorders and Oncology. The Role We are … impact the design and optimization of therapeutics, leveraging extensive proprietary datasets and cutting-edge AI techniques in a collaborative environment. Responsibilities: Design and implement ML models for structure-based drug design, including protein-ligand interaction modeling and co-folding applications. Develop AI approaches integrating structural and chemical data to enhance … discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machinelearning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with protein structure modeling, co-folding, or related More ❯
Job Description Senior MachineLearning Engineer (Medical AI) – Cambridge/Remote £60,000 - £70,000 + Stock options Are you passionate about using AI to transform healthcare? An innovative, Cambridge-based medical technology start-up is seeking a Senior MachineLearning Engineer to join their growing … team. This is a unique opportunity to work at the intersection of cutting-edge machinelearning, medical imaging, and real-world clinical impact. About the Company Our client develops advanced software to detect cancer using AI and MRI, aiming to make cancer screening more accurate, accessible, and cost … the Cambridge research community, they are building a collaborative team of experts in AI, user interfaces, and medical imaging. The Role As a Senior MachineLearning Engineer, you will lead research and development projects from initial concept through to integration into production software. You will work extensively with More ❯
Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machinelearning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machinelearning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machinelearning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning, etc. Previous experience with MachineLearning at scale: Large Language Models More ❯
Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machinelearning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi-modal analysis pipelines for scientific analysis, and machinelearning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machinelearning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning etc. Previous experience with MachineLearning at scale: Large Language Models More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Johnson & Johnson
or Beerse, Belgium. Remote work options may be considered on a case-by-case basis and if approved by the Company. The AI/MachineLearning and Digital Health team within Johnson & Johnson Innovative Medicine R&D designs cutting-edge insights and solutions employing various data sources across … statistics, mathematics, or related disciplines. Demonstrated experience in driving research in computer vision, including the application and development of AI methods and optimization of machinelearning models. Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, and OpenCV. Extensive experience … CNN), image segmentation (U-Net, Mask R-CNN), image classification (VGG, ResNet, Inception, EfficientNet), and feature extraction (SIFT, SURF, ORB). Experience with various machinelearning techniques (including fully supervised, unsupervised, self-supervised, and weakly supervised learning) and specific architectures (Convolutional Neural Networks (CNNs), Vision Transformers (ViTs More ❯
to work in, even if you only have some of the experience listed below, please apply. The Role We are seeking a mid-level MachineLearning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building and … maintaining high performance and robust data pipelines to support a variety of machinelearning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical … documentation for staff Qualifications: 3+ years of experience in software engineering, with a focus in data engineering or DevOps Demonstrated experience deploying and maintaining machinelearning models in production Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred) Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred More ❯
the Cambridge office. This role focuses on maintaining and optimising the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python etc) for machinelearning projects as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring optimal performance … issues, Working closely with the project manager to ensure efficient resource allocation, server utilisation and scaling across multiple teams, Collaborating with data scientists and machinelearning engineers to understand their software requirements and provide guidance on best practices, Assisting in training team members on the capabilities and usage … with a startup mindset. Technology-wise, you will have experience in system administration, preferably with a focus on HPC platforms, GPU-based servers, and machinelearning software environment as well as a familiarity with AI and HPC provisioning and management, both on-premises and in the cloud. You More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Mewburn Ellis LLP
Patent Attorney, AI and MachineLearning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal … us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence/MachineLearning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge … in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. More ❯
Software Engineer (Full Stack, MachineLearning) Cambridge Darktrace has more than 2,500 employees located globally. Founded by mathematicians and cyber defence experts in 2013, Darktrace is a global leader in cyber security AI, delivering complete AI-powered solutions in its mission to free the world of cyber … be driven to learn more as required. In this machinelearning focused role, you will also be curating datasets and working with ML concepts and associated libraries, such as Pytorch. What experience do I need: We welcome applications from engineers with strong problem-solving and creative thinking skills More ❯
Cambridge, Cambridgeshire, England Hybrid / WFH Options
Cambridge University Press & Assessment
passionate about AI and data science, as well as ensuring fairness, transparency, and accuracy in AI-enhanced assessment? Are you excited about expanding language learning opportunities and contributing to the best of international practice? If so, we want to hear from you! We are Cambridge University Press & Assessment, a … University of Cambridge. Our Applied AI team is looking for a talented AI evaluation specialist to join our expanding team of validation specialists and machinelearning engineers. As an AI Evaluation Scientist, you will play a critical role in evaluating and improving our AI-enhanced capabilities. Your expertise … s mission to expand learning opportunities for all. Desirable: Experience of evaluating AI-enhanced assessment and learning technologies. Experience of collaborating with ML engineers in the development and evaluation of AI models. Experience of assessment principles and evaluation methods. Experience of embedding standardized AI evaluation processes in an More ❯
design, we want to hear from you.We are on a bold digital transformation journey to redefine pharmaceutical R&D through the power of data, machinelearning, and AI. As part of this mission, we are building a world-class digital R&D ecosystem that integrates scientific innovation with … explore new technologies, implement cutting-edge solutions, and influence the strategic direction of AI-driven design.Your key responsibilities- Developing and validating advanced AI/ML methodologies for molecular generation, prediction, and optimization.- Designing and implementing scalable computational pipelines, models, and tools to be used by the broader modeling and cheminformatics … artificial intelligence, computational chemistry, cheminformatics, or a related field.- 5+ years of postdoctoral experience.- Proven track record in developing and applying modern AI/ML methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch More ❯
we want to hear from you. We are on a bold digital transformation journey to redefine pharmaceutical R&D through the power of data, machinelearning, and AI. As part of this mission, we are building a world-class digital R&D ecosystem that integrates scientific innovation with … new technologies, implement cutting-edge solutions, and influence the strategic direction of AI-driven design. Your key responsibilities Developing and validating advanced AI/ML methodologies for molecular generation, prediction, and optimization. Designing and implementing scalable computational pipelines, models, and tools to be used by the broader modeling and cheminformatics … artificial intelligence, computational chemistry, cheminformatics, or a related field. 5+ years of postdoctoral experience. Proven track record in developing and applying modern AI/ML methods (e.g., generative models, GNNs, active learning, foundation models) in a scientific context. Strong coding skills and experience with relevant ML frameworks (e.g., PyTorch More ❯