1 to 25 of 57 Machine Learning Jobs in Cambridge

Overview Machine Learning Research Engineer – NLP/LLM Expert. A brilliant opportunity for a machine learning research engineer to work on researching and investigating new concepts for industry-leading machine-learning software in Cambridge, UK. Ideally suited to those with a Ph.D. relating … cutting-edge machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We are committed to an inclusive ...

Learning Engineer (Python AWS MLOps) Remote UK to £105k Are you a tech savvy Machine Learning 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 … Learning Engineer with advanced Python coding skills and a strong knowledge of AWS 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 good knowledge ...

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 ...

Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...

motivated and creative Software Engineers to join a cross-site and multi-culture software team! This role presents an excellent opportunity to move into ML, the key development for the future of computing. Working on the groundbreaking the company technology, you will be crafting the software that powers the next … implement of a Software Development Kit (SDK), ensuring that it meets all the needs from various users. This includes various areas such as ML compiling technologies and high performance ML runtime libraries targeting next generation GPU hardware. More than anything else, you must have a willingness to learn new techniques ...

research and practical engineering. You will help transform ambitious research ideas into scalable, robust systems, with projects spanning AI-driven semiconductor design and fundamental machine learning research. Current areas of focus include LLMs, Reinforcement Learning, Generative Models and optimisation techniques for deep learning. The Role … colleagues and contribute to a collaborative environment built around technical excellence, scientific curiosity and practical impact. Key Responsibilities Lead the engineering delivery of complex machine learning and AI research projects. Translate research objectives into robust, scalable technical solutions. Implement and optimise advanced machine learning algorithms. Work ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation … wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation ...

## Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly … that requires attendance in the Cambridge office at least 2 days a week.**What will I be doing:**As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace’s services ...

within the company develops key technologies which will form the foundation of future products. You will join a multinational, multifaceted, collaborative and highly motivated Machine Learning Hardware Architecture team in Central Technology to help craft the direction of Machine Learning in the company IP designs. … Overview: You will be working on a team that enables the capabilities of the company's machine learning accelerators by creating tools that push the limits of the architecture. These tools are used across the architecture group to demonstrate that proposed features are suitable for implementation ...

Search has partnered with the Founder of a brand new Predictive Technologies company to build out its first hires in the Machine Learning team. Having previously built and scaled billion-dollar research organisations at two of the world's leading algorithmic trading firms, this is his first venture … company from day one and play a meaningful role in shaping its technology, culture and long-term vision. We are primarily looking for outstanding Machine Learning Engineers and Researchers with exceptional programming ability, particularly in C++, alongside strong machine learning, statistics and mathematical foundations. Our target ...

level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play … Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work on cutting-edge AI challenges with a talented, multidisciplinary team Collaborate with leading academic and industry partners Access to high ...

performance, thermal transitions, processing windows, crystallinity, cross-link density, cure kinetics, and formulation-to-processing-to-property relationships. This is a hands-on scientific ML role for someone who can bridge domain context and computational execution. You will develop structure-property models for solid and viscoelastic materials, build cure … solid materials, complex fluids, or related fields. Familiarity with mechanical, thermal, morphological, or processing-sensitive material properties. Strong Python skills and experience with modern ML frameworks. Experience training, evaluating, and improving models using experimental, simulation, or scientific datasets. Ability to use simulations, theory, descriptors, or mechanistic understanding to inform modeling ...

Inventing innovative machine learning systems to solve real-world problems in the defence sectorCambridge; to c£70,000 DoE + BenefitsThis innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create … classes of devices for the defence and security sectors. xxuwjjq As the world goes through a new industrial revolution powered by AI and ML, h... Considering making an application for this job Check all the details in this job description, and then click on Apply. ...

PEOPLE in Cambridge is looking for a Machine Learning Research Engineer specializing in NLP and LLM. The role involves researching new concepts for cutting-edge machine-learning software while working alongside a small team. Ideal candidates will have a Ph.D. or relevant degree, expertise in machine learning, and proficiency in Python. This opportunity offers a hybrid work model, competitive salary up to £100,000, and a range of benefits in an inclusive work environment. #J-18808-Ljbffr ...

team but also working together with other teams, including teams making low-level libraries that the frameworks use and teams that are developing ML applications on top of the frameworks. The Team The frameworks team is responsible for ensuring Graphcore hardware enjoys seamless support in user-facing machine learning … Profile Essential Experience of developing performant C++ applications in a commercial setting. Experience of Python development. Desirable Experience using and/or development of ML Frameworks such as PyTorch. Demonstrable knowledge of AI/ML. Experience in a computationally intensive engineering field. Understanding of and/or experience with compiler ...

traditional data annotation role. You'll be responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout … machine learning lifecycle, helping improve model accuracy by creating robust, well-structured datasets. Responsibilities Prepare, curate and annotate large-scale image and video datasets. Develop and improve annotation workflows and tooling. Configure and maintain annotation platforms. Create annotation guidelines and documentation. Validate dataset quality and consistency. Perform quality ...

Title: Deep Learning Researcher Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely … related fields Requirements: PhD in Computer Science or related subject Publications in conferences such as: NeurIPS, ICLR, ICML, EMNLP, AAAI, IJCAI Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/ ...

Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer/Embedded Vision Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical … Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer ...

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 ...

care and directness. We move first and learn fast anticipating where our customers are going next, continuously challenging ourselves. We invest in the skills, learning and opportunities that help people deliver at the level their roles demand, and reward the aptitude and curiosity to grow beyond them.Our Values … unlock entirely new ones. Collaboration will also be central to your work, as you engage with cross-functional teams including product, engineering, and machine learning specialists to take ideas from concept through to prototype.Alongside this, you will maintain and deepen your expertise through ongoing research projects, ensuring ...

TypeScript, JavaScript, HTML5, CSS and Tailwind. Build healthcare and research applications that support clinical, operational, and AI-enabled workflows. Collaborate with Product, AI/ML/Data Engineering, IT/Infrastructure and Business teams to translate requirements into effective software solutions. Design and develop application features that incorporate AI/… ML capabilities. Integrate AI services and machine learning models into production applications through APIs and service interfaces. Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases. Build secure and scalable application components within the AWS environment ...

features. Who We're Looking For We're looking for a curious, analytical, and enthusiastic graduate who enjoys solving problems and learning new technologies. You'll be proactive, organised, and eager to develop your technical skills while working collaboratively in a supportive team environment. Requirements Essential Bachelor's degree … Google Gemini. Familiarity with Microsoft Excel or Google Sheets for handling data. Basic programming knowledge in Python, SQL, or JavaScript. Understanding of AI, machine learning, prompt engineering, or data analysis through university coursework or personal projects. Previous internship, placement, or personal projects related to AI or technology. Familiarity ...

Excited If You Have At least 10 years experience in a Software Engineering environment. Substantial project experience based on using AI/ML and LLM technologies. Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies. Experience working in an embedded environment. Consumer electronics experience ...