25 of 25 Machine Learning Jobs in Cambridgeshire

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 ...

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 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 ...

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

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 ...

review tasking for Data Science team members. Develop analytical, predictive and visualisation solutions using modern data science techniques. Prototype and evaluate emerging AI and machine learning technologies. Develop robust, high-quality software applications and tools. Provide technical guidance and mentoring to colleagues. Report progress and technical outputs … data related subject. It would be great if you also have: A strong background in statistics and data assimilation techniques. Prototyping AI/ML techniques (e.g. LLMs and neuromorphic systems). Knowledge of Electromagnetic Spectrum systems such as Radar, Electronic Warfare or Jamming technologies. An interest in GPU-accelerated architectures ...

across multiple projects simultaneously and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware, sensors, and complex systems Rapidly learning and applying new technologies, tools, and approaches Contributing to problem-solving throughout the entire development lifecycle Supporting software used to control hardware platforms, custom … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, optimisation, statistics, or algorithm development Experience developing mobile applications (iOS or Android) Suitable for both ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

maintaining AI and machine learning models Support data collection, cleaning, labeling, and basic analysis Help implement AI solutions using Python and common ML libraries Participate in model evaluation, performance monitoring, and documentation Collaborate with cross-functional teams on AI-driven projects Learn and apply best practices in data ...

communication skills * Ability to translate data into meaningful business insights * Experience working with large datasets and delivering actionable recommendations * An interest in AI, machine learning or automation technologies * Experience within Retail, Ecommerce, Consumer or Multi-site businesses would be advantageous If you're looking for a role where ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential … principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware–software ...

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 ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

challenge constructively and work autonomously Desirable: Experience within technically complex, scientific, engineering, fintech, enterprise, or regulated environments Exposure to AI-driven products or machine learning platforms HCI or related academic background Experience working across international teams or user groups Interview Process Introductory video interview Design task (AI tools ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

team will be in touch with more details. Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors. ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

parallel processing, performance optimisation and multi-threading. The work is broad and hands-on, covering automation, databases, test and calibration workflows, with exposure to machine learning and emerging AI where it adds value. If you are a C# Software Engineer enjoy having your fingers in lots of pies ...

settle in, you'll take on more of the wider people work recruitment, performance, identifying where the team needs to grow in AI/ML and SRE. We'll support you to learn this side of the role; we don't expect you to arrive with it fully formed. … apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Hands-on exposure to AI/ML in production systems Experience helping establish SRE or observability practice early on A track record of modernising legacy systems without breaking them What this role offers someone ...

signals into actionable compound discovery and optimisation, powering a pipeline across: Discovery → Prediction → Design → Validation We are looking for a Senior Computational Biologist with ML Engineering background to help build, bridge, and functionalise the link between AI-powered biological discovery and real-world clinical outcomes. This role sits across biological … discovery and scalable ML engineering. You will own key parts of the end-to-end architecture from data to model to evaluation to deployment, and work closely with ML engineers and software engineers to productise the platform into client-ready outputs. This is a senior role with significant autonomy ...

technical excellence, fostering a culture of continuous improvement, and ensuring the delivery of high-quality solutions across embedded software, DSP, FPGA, and AI/ML domains. Key Responsibilities Leadership & Growth: Direct line management of senior team members and overall leadership of the software department. You will lead succession planning, hiring … including proposal creation and client relationship management. The Ideal Candidate Technical Breadth: Strong understanding of embedded software, DSP, FPGA firmware, cloud, and AI/ML, with deep expertise in at least one of these areas. Proven Leadership: Extensive experience in line management (including managing other managers) and developing high-performing ...