1 to 25 of 40 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 ...

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. ...

large self-supervised ones, supportingSpeechmaticstowards being the mostaccuratespeech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands-on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do Develop and deploy ML models, translating research into scalable, maintainable code ...

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 ...

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 ...

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/ ...

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 ...

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 ...

Define FAIR-compliant standards for translational/biomarker data (omics, imaging, proteomics, etc.). Establish quality frameworks and SLAs aligned to regulatory, AI/ML, and precision medicine use cases Build semantic schemas and harmonization layers enabling integration of data from diverse sources (labs, vendors, partners) into reusable, consumable data … reduce manual curation (e.g., schema-driven harmonization, intelligent quality assurance). Measure efficiency gains Ensure integration with enterprise systems (clinical data lakes, AI/ML platforms) Pilotnew technologies(agentic AI, ML-driven quality assurance) at scale Team Leadership & Cross-Domain Coordination Recruit, mentor, and scale a 12–15 person distributed ...

Management to play a pivotal role in organising our work across product development and commercial partnerships at Qureight. We need to translate cutting-edge ML models into validated, deployable, revenue-generating solutions used in clinical trials and drug development. Reporting to the COO, this is a high-impact leadership position … will do... Own and embed the OKR framework across the company, driving alignment from leadership through to execution. Lead delivery and execution of our ML-based product suite Coordinate across ML, engineering, clinical, and commercial teams to ensure delivery against an ambitious, evolving product roadmap. Work closely and collaboratively with ...

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 ...

offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role The Senior Director, Business Development is responsible for driving … plus bank holidays and enhanced maternity leave. A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless ...

infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross‐functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. … company‐wide collaboration and celebration. Family Friendly – Enhanced family leave policies, miscarriage and fertility leave, flexible working practices. Personal Development and Growth – Personal learning and development budgets, regular personal development conversations and career support. Community Engagement and Support – One paid day off per year to volunteer for a cause ...

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 ...

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 ...

United States Digital Space LLC is building a multinational Machine Learning Hardware Architecture team in Cambridge to craft the direction of ML technology. You will develop tools that expose hardware features and evaluate performance, collaborating with hardware architects to define software interfaces for new features. The role emphasizes ...