19 of 19 Machine Learning Jobs in Cambridge

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. ...

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 ...

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 ...

code workflows, and intelligent document processing solutions. Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive submission planning. … Receive United Kingdom: Competitive salary, annual bonus, pension scheme, health insurance, 24 days annual leave, flexible working arrangements, employee recognition scheme, and learning and development opportunities. Netherlands: Temporary employment for 1 year with a probation period and flexible working; learning and development opportunities; indefinite employment contract based ...

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 ...

information capabilities. Desirable Skills/Experience Experience leading large‐scale data marketplaces or catalogues in highly regulated industries. Background in applying AI/ML to metadata management, knowledge graphs or intelligent search. Track record of building data products that directly enable scientific or clinical decision‐making. Familiarity with cloud‐native … outstanding and ambitious world! AstraZeneca offers the chance to combine technology leadership with meaningful impact: work with modern platforms in data, analytics, AI and machine learning; experiment with innovative approaches through hackathons and modern engineering practices; collaborate with diverse experts across science and technology; and help transform ...

experience operating reliable, scalable production systemsNice to HaveExposure to AWS, Azure, or GCPFamiliarity with CI/CD or Git-based workflowsExperience with AI/ML or agent-based tooling in operationsUnderstanding of identity, access control, and security best practicesExperience with OpenStack (Cinder, Manila)Awareness of ITIL or service management frameworks ...

Windows development background Nice to have: real-time systems, networking or low-level programming, Python or C#, hardware/driver interfacing, and exposure to machine learning on sensor data. A BSc in a relevant field (or equivalent hands-on experience) rounds things off. You'll join a small ...

languages they require, instead they seek versatile candidates with strong knowledge of at least one programming language. Areas you could be involved with include ML systems, signal processing and software defined radio. The platforms you work on will vary from the cloud down to small low-power electronics and anything ...

Software Roots: A strong foundational background in embedded software is required, alongside the technical breadth to converse fluently across DSP, FPGA, and AI/ML domains. Proven Formal Management: Direct experience acting as a formal line manager for a team, handling appraisals and performance development. Experience managing other managers ...

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 ...

related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile ...

related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc click apply for full job details ...

related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobil... WKCL1 ...

Head of Software to lead a multidisciplinary software department. The successful candidate will manage a talented team across embedded software and AI/ML projects, ensuring quality delivery and fostering continuous improvement. Ideal applicants will have experience in technical leadership, team management, and client relationship building. The firm offers ...

technically capable individual to lead a multidisciplinary software department, reporting to the SVP of Engineering. Working across embedded software, DSP, FPGA and AI/ML, our software department supports technologies such as radar, sensing, communications, and an ever‐growing range of client projects across sectors as diverse as defence … across the group. Responsibilities will include: Manage and grow a capable, responsive, motivated, and delivery-focused team across embedded, DSP, FPGA, and AI/ML software and firmware. Lead active succession planning and capacity planning activities, hiring and developing people as necessary to ensure that the software department ...