1 to 25 of 54 Machine Learning Jobs in Cambridge

Machine Learning Research Engineer Salary: £49,170 - £63,915 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Permanent Hours: Full Time (35 hours per week) Overview Cambridge University Press & Assessment is a world‐leading academic publisher and assessment organisation and a proud part … University of Cambridge. The Applied AI team works on AI‐powered learning solutions that enhance Cambridge English products and services. Responsibilities Develop, deploy, and maintain scalable AI‐powered solutions for Cambridge English products. Optimize and modularise models for reusability and performance. Collaborate with product, validation, and business teams ...

ML Infrastructure Lead About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring … Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This is a hybrid leadership ...

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. ...

then implementing them into scalable production software, rather than purely research-focused individuals. We are looking for someone with significant commercial experience in AI, machine learning or software engineering environments. You will work on a broad range of AI challenges spanning multimodal AI, machine learning, computer … from a top university is advantageous Achieved AAA at A Level or international equivalent Proven commercial experience in software engineering, AI engineering, machine learning or closely related areas Strong programming ability with confidence in quickly learning new technologies and languages. While the role currently uses Go, Kotlin ...

workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the foremost technical authority in Machine Learning within Monzo. You’ll shape foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business. You will work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy. ...

/Backend Software Engineer (Machine Learning AWS) Remote UK to £90k Are you a data savvy Python Developer 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 … suit you. About you: You are a data savvy Python Developer 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 ...

## 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 ...

critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately … expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will ...

continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using computational photography, optimization methods, statistics, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed … develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the latest developments in computer vision, computational photography, and machine learning, both in academia and in industry. You are expected to leverage your knowledge to work and influence Apple's products, specifically ...

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 ...

impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo … data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside ...

remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Responsibilities: Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass … plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Who you are: Must-have requirements: Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years ...

Cambridge University Press in Cambridge is seeking a Machine Learning Research Engineer to develop and enhance AI-powered solutions for educational products. This role requires a Master’s degree and 2+ years of industry experience. Your responsibilities will include collaborating with cross-functional teams to optimize machine learning models, ensuring they meet user needs while staying at the forefront of AI innovation. This permanent position offers a hybrid work model and various benefits including private medical insurance and a discretionary annual bonus. #J-18808-Ljbffr ...

goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational STEM problems … Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field. You have at least 5 years of Machine Learning experience with proven business impact. Strong programming skills in Python (numpy, pandas, scipy, sklearn). Solid understanding of numerical methods and computational algorithms. ...

research that supports both our applications and the broader scientific community Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Key Responsibilities Shape and communicate the strategic vision for research across the organization Oversee multiple high-impact … research projects and ensure alignment with organizational goals Drive breakthroughs in machine learning and artificial intelligence through innovative re-search Mentor and provide leadership to senior researchers and research teams Represent the team in external partnerships, collaborations, and policy discussions Influence organizational research priorities and contribute to policy ...

span across different disciplines and technologies to perform real‐time, multi‐objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except ...

solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. About the Role In this role, you will contribute to the Ads Auction and Marketplace systems that optimize yield, gross profit, and real-time multi-objective outcomes across ...

/Backend Software Engineer (Machine Learning AWS) Remote UK to £90k Are you a data savvy Python Developer 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 ...

/Backend Software Engineer (Machine Learning AWS) Remote UK to £90k Are you a data savvy Python Developer 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 ...

doing as a Graduate in our team? As a hardware design engineer, you’ll join a growing, highly skilled, and supportive team developing Machine Learning accelerators. Collaborating with colleagues across our international design centres, you’ll contribute to the design and verification of Arm’s next-generation ...

good software engineering processes (version control, repositories, testing etc). Understanding how to visualise data for academic and industrial reports. Any experience with applied machine learning techniques used for signal processing would be desirable. Similarly, experience working in biotech or pharmacological projects would be of interest. As this … dynamic company as they begin their growth and be compensated with an excellent remuneration package. Keywords: Data Science, Analytics, Python Development, Algorithms, Optimisation, Machine Learning, Life Science, PhD/Post-Doc, Start-Up Another top job from ECM, the high-tech recruitment experts. Even if this ...

detects performance shifts, reconciles financial flows, and governs revenue integrity in real time. This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles … globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. ...

other professional qualifications, with structured training, mentorship, and learning opportunities. About the role: We are seeking an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is for a builder — someone who doesn’t just experiment with AI but makes it work inside … helping BPM move faster, work smarter, and stay ahead in a rapidly changing industry. Key Responsibilities: Model Development : Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions). Data Engineering : Prepare and manage structured and unstructured datasets, ensuring quality inputs ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...