19 of 19 Machine Learning Jobs in Cambridge

Machine Learning Researcher (PhD Statistics Python AI R&D) Cambridge/WFH to £85k Are you a tech savvy, PhD educated, Machine Learning Researcher looking for an opportunity to work on complex and interesting systems at the cutting edge … technology? You could be progressing your career working on real-world problems within a high successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning. As a Machine Learning Researcher you will ...

both theoretically rigorous and scalable to real-world complexity . The team’s work directly impacts customer challenges and contributes to the wider ML community — with 75+ papers published and 10 patents filed in the last four years . What You’ll Be Doing Develop and lead your own research … Collaborate with colleagues to meet research goals and communicate findings internally and externally Contribute to product development and customer research projects, applying cutting-edge ML to real-world problems Take an active role in developing and maintaining open-source libraries such as Trieste, GPflow, and GPflux What We’re Looking ...

developing data-efficient machine learning solutions for complex engineering and optimisation problems. This is an opportunity to join a highly research-driven ML lab, working on probabilistic modelling, Bayesian optimisation and decision-making methods, with a strong emphasis on theoretical rigour and real-world impact. The team regularly … publishes at top-tier machine learning conferences and contributes to open-source ML libraries. The Role You'll conduct original research in areas such as probabilistic models, active learning and Bayesian optimisation, while collaborating closely with other researchers and applied teams. The role blends academic-quality research ...

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 ...

research, design and deploy cutting-edge machine learning systems. Projects span early-stage research through to working prototypes, covering the full ML lifecycle - from data preparation and rapid prototyping to model development, evaluation and deployment. This is a hands-on role for someone who enjoys tackling novel, technically … challenging problems and applying ML in real-world or constrained environments. About You Degree (2:1 or above) in Computer Science, Engineering, Physics, Maths or similar Strong Python skills Experience with ML frameworks such as PyTorch, TensorFlow and/or JAX Exposure to applying ML in novel domains or resource ...

sense of the kinds of work you could be involved in, example rotations may include: Data Science – from Python projects to enabling AArch64 Machine Learning – analysing machine learning workloads High Performance Computing – developing reference software stacks Compilers – developing compilers in C++ Firmware – developing secure firmware Linux ...

Senior Machine Learning Engineer - Agentic AI Platform Location: Central Cambridge (Hybrid) | Permanent | In partnership with Robert Half The Opportunity Join a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. This hands-on role focuses on scaling, hardening, and refining a graph-based ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers: hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

languages such as Python, Java, Go or Rust; experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes). Familiarity with AI/ML inference frameworks, vector databases and data streaming systems. Strong problem‐solving skills, ability to mentor peers and thrive in a dynamic startup environment. ...

information on this role, or any other jobs across; Embedded, C++ programming, Electronics, FPGA, Javascript, C#, Python, LLM, Data Science, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today. ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You'll work on hands-on mini projects that mirror real-world challenges, helping you build ...

/2026) Windows 11 development Desirable Skills Experience in hardware control or interfacing software with physical devices. Software architecture and technical leadership. Image processing, ML/AI, or C++. This position offers the opportunity to join an increasingly software-centric R&D group where your work manages complex physical systems ...

with Gong (or similar call intelligence platform). • Experience with project/milestone‐based revenue (services, consulting) and commission modelling. • Exposure to AI/ML or cloud/professional services deals. Benefits: Health Insurance Fully Remote PTO: location‐based, in line with local statutory requirements and market practice. Diverse team ...

right treatment approach is well-established but undeliverable at scale. We’re changing that. Our team has deep expertise across clinical, engineering and machine learning, has a track record of healthtech innovation, and is backed by top-tier VCs and multiple unicorn founder angels. If you like Solving ...

expertise, we are transforming how people discover products online. Our team consists of driven professionals and skilled engineers solving real-world search challenges using machine learning, algorithmic problem-solving, and robust infrastructure engineering. We've enabled global e-commerce brands to drive higher conversions, better product discovery ...

insights — and are seeking a Lead AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the Lead … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems … through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure ...

evaluations, pilot programmes, testing and performance assessment Ensuring responsible-AI practices, human-in-the-loop processes and legal-risk considerations Communicating complex AI/ML concepts in simple, accessible language Continuously improving user journeys and workflow design across AI tools Benefits 25 days holiday + Bank Holidays Long-service holiday … tools) Proficiency with tools such as Jira, Lucidchart, BPM tools Excellent communication and stakeholder-engagement skills Ability to simplify and communicate complex AI/ML concepts Experience facilitating workshops and working closely with clients Confidence supporting Scrum ceremonies and Agile delivery processes A proactive, product-focused mindset with strong problem ...