1 to 25 of 39 Machine Learning Jobs in Cambridgeshire

are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom Machine Learning Hardware based on a revolutionary architecture. Work hard. Have Fun. Make History. Key job responsibilities What will you do? Engage in state-of-the-art and innovative … compression, and knowledge distillation Contribute to a novel and comprehensive training platform custom-tailored for preparing models for edge applications Invent optimization techniques to push the boundaries of deep learning model training Derive research approaches from first principles via knowledge of Information Theory, Statistics, Scientific Computing, and Deep Learning Theory Create and propose detailed theoretical specifications for novel … models that beat the SOTA and paves path for developing production models Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices by cohesively unifying software and hardware Publish in open source and present on Amazon's behalf at key ML conferences - e.g. NeurIPS, ICLR, MLSys An More ❯

We're partnering with an established AI consultancy seeking a Contract Machine Learning Engineer (NLP) to lead an NLP project for a major utilities client. You'll develop and deploy transformer models, LLMs, and RAG pipelines to extract insights from unstructured data. Remote, outside IR35, £650/day. Contract Machine Learning Engineer (NLP - Utilities Sector) Rate … an expanding portfolio of project types across multiple industries. As they scale, their internal team is being deployed onto several new accounts - and they're now seeking a Contract Machine Learning Engineer to take ownership of an ongoing NLP project for a long-standing client in the utilities sector. The Project The utilities client handles large volumes of … , with significant hands-on NLP project experience. Deep understanding of transformer models and LLM fine-tuning. Proficient in Python, PyTorch or TensorFlow, and scikit-learn. Practical experience deploying ML models in production environments (cloud-native or on-prem). Familiar with data versioning, MLflow, and monitoring frameworks (e.g. Weights & Biases, Evidently). Strong communicator, capable of leading project delivery More ❯

our fast-growing technology company as Commercial Director. This pivotal role places you at the heart of our commercial operations, driving growth and delivering measurable impact through cutting-edge machine learning solutions across global industries. Role Overview As Commercial Director, you will take full ownership of our commercial strategy, leading initiatives that enhance revenue, expand market presence, and … with a track record of team development. Excellent communication skills, able to convey complex ideas clearly. Thorough understanding of commercial, contractual, and regulatory frameworks. Preferred Skills & Experience Familiarity with machine learning or data-centric technology products. Strong analytical thinking and problem-solving skills. Degree in business, commercial management, or a related field. What We Offer The chance to … work with advanced machine learning technology making a real-world impact. A collaborative and growth-oriented culture where your input matters. A key leadership role with direct influence on Intellegens’ commercial success. Flexible working arrangements with access to our vibrant Cambridge headquarters. About Intellegens Intellegens helps organisations accelerate innovation by applying advanced machine learning to complex More ❯

our fast-growing technology company as Commercial Director. This pivotal role places you at the heart of our commercial operations, driving growth and delivering measurable impact through cutting-edge machine learning solutions across global industries. Role Overview As Commercial Director, you will take full ownership of our commercial strategy, leading initiatives that enhance revenue, expand market presence, and … with a track record of team development. Excellent communication skills, able to convey complex ideas clearly. Thorough understanding of commercial, contractual, and regulatory frameworks. Preferred Skills & Experience Familiarity with machine learning or data-centric technology products. Strong analytical thinking and problem-solving skills. Degree in business, commercial management, or a related field. What We Offer The chance to … work with advanced machine learning technology making a real-world impact. A collaborative and growth-oriented culture where your input matters. A key leadership role with direct influence on Intellegens’ commercial success. Flexible working arrangements with access to our vibrant Cambridge headquarters. About Intellegens Intellegens helps organisations accelerate innovation by applying advanced machine learning to complex More ❯

Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI … of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Key Responsibilities Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting edge generative AI algorithms to address real world challenges. Interact with customers directly to understand the business problem, guide implementation … Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing. Experience delivering customer engagements in a professional services role. Experience researching machine learning, deep learning, NLP, computer vision, data science. Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience. Preferred Qualifications More ❯

Machine Learning … Engineer We are working with a new start up company who are developing state-of-the-art medical devices to monitor health systems. Experience Required: MSc or PhD in ML, Biomedical Engineering, or related field Strong experience with PyTorch/TensorFlow and Python Hands-on experience with TinyML or edge ML frameworks (TFLite, TVM, etc.) Skilled in model optimization for … constrained devices Comfortable in a startup environment - proactive, collaborative, and adaptable What you'll do: Build and optimize deep learning models for on-device biosignal monitoring Work on model compression, quantization, and other techniques for edge deployment Collaborate closely with the CTO and technical team to deploy models in production Contribute across the stack - from signal processing to product More ❯

Machine Learning … Engineer We are working with a new start up company who are developing state-of-the-art medical devices to monitor health systems. Experience Required: MSc or PhD in ML, Biomedical Engineering, or related field Strong experience with PyTorch/TensorFlow and Python Hands-on experience with TinyML or edge ML frameworks (TFLite, TVM, etc.) Skilled in model optimization for … constrained devices Comfortable in a startup environment - proactive, collaborative, and adaptable What you'll do: Build and optimize deep learning models for on-device biosignal monitoring Work on model compression, quantization, and other techniques for edge deployment Collaborate closely with the CTO and technical team to deploy models in production Contribute across the stack - from signal processing to product More ❯

fit right into our environment 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. Key Roles and Responsibilities Explore large structured … working with large datasets. By the end of your first year, you will be competent in Python programming, our tools and framework, and will have undertaken at least one machine learning project. 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 of More ❯

to designing (with support) data frame structures for efficient data manipulation and information retrieval Assist in developing tools for data processing, information retrieval and insight Maintain data products using machine learning and statistical techniques Contributes to project & concept presentations (creation and presenting) Working with other Data Scientists & Managers to interpret analysis results. Your ideas and solutions will enable … a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. You will aspire to become an More ❯

automation provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings. This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection … Take the lead on deployments while working alongside a highly experienced engineering team. What You'll Be Doing Designing and implementing machine vision inspection systems using AI/ML tools. Running trials and developing proof-of-concepts to validate deep learning models in real environments. Programming and configuring PLCs and SCADA systems. Installing, commissioning, and supporting automation systems … machine vision, automation, or similar engineering roles. Hands-on experience deploying machine vision or image analysis systems in industrial or research environments. Comfortable working with AI/ML platforms or deep learning-based vision tools. Strong troubleshooting and problem-solving skills in production environments. Excellent communication skills and ability to liaise with operators and engineers. Full UK More ❯

per day Required Skills & Experience: 8+ yrs of experience into QAProven experience as a Test Engineer/QA Engineer in a similar role with strong experience to AI/ML projects.Strong programming skills in Python (pytest, unittest, or other test frameworks).Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Hands-on experience with cloud platforms (AWS … Azure, or GCP) and CI/CD pipelines.Strong problem-solving skills and ability to communicate technical issues clearly. Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines.Validate machine learning models, ensuring accuracy, fairness, and robustness.Develop automated testing frameworks for data pipelines, model training, and inference.Perform functional, integration, regression, and performance testing on More ❯

day Required Skills & Experience: 8+ yrs of experience into QA Proven experience as a Test Engineer/QA Engineer in a similar role with strong experience to AI/ML projects. Strong programming skills in Python (pytest, unittest, or other test frameworks). Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with … Azure, or GCP) and CI/CD pipelines. Strong problem-solving skills and ability to communicate technical issues clearly. Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines. Validate machine learning models, ensuring accuracy, fairness, and robustness. Develop automated testing frameworks for data pipelines, model training, and inference. Perform functional, integration, regression More ❯

cleanliness We're excited if you have 5+ years of hands-on experience with automation systems 3+ years of programming experience, preferably with Python for scripting and working with machine learning tools Ability to design, implement, and optimize solutions leveraging LLMs via API Experience using various LLMs (Open AI, Anthropic APIs) and AI Frameworks like langchain, Tensorflow etc. … work independently Previous experience with Non-Functional Testing (Performance Testing, Stress Testing) Experience with infrastructure as code and orchestration technologies (Terraform, Kubernetes, CloudFormation) Certifications or training in AI/ML or AI testing (e.g., Coursera AI for Everyone, Google AI Engineer, ISTQB AI Testing Foundation) Benefits Roku is committed to offering a diverse range of benefits as part of our More ❯

be able to offer this Site Reliability Engineer role working for an industry-leading software company in Cambridge. This company has won several awards and is pioneering in their machine learning technology. Founded 8 years ago, with a team of 150 brilliant engineers, they are already renowned as having game-changing technology within their industry, with exciting scope More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. What we're looking for: 4+ years' experience building enterprise-grade applications. More ❯

a Backend Polyglot Integration Developer here. No two weeks look the same. The mix of backend software development, systems integration, and cloud infrastructure work means you’ll constantly be learning, solving problems, and collaborating with colleagues from across the organisation. This is a fantastic opportunity for a technically adaptable polyglot developer to join a nationally respected cultural institution with … automation or backend logic. * Experience with other OO programming languages. * Familiarity with cloud platforms, especially Microsoft Azure. * Containerisation tools such as Docker. * Automation tools like Ansible. * Interest in AI, machine learning, and related technologies. Backend Polyglot Integration Developer - What you’ll be doing: As a Backend Polyglot Integration Developer, you’ll work across backend systems, APIs, and digital More ❯

a Backend Polyglot Integration Developer here. No two weeks look the same. The mix of backend software development, systems integration, and cloud infrastructure work means you’ll constantly be learning, solving problems, and collaborating with colleagues from across the organisation. This is a fantastic opportunity for a technically adaptable polyglot developer to join a nationally respected cultural institution with … automation or backend logic. * Experience with other OO programming languages. * Familiarity with cloud platforms, especially Microsoft Azure. * Containerisation tools such as Docker. * Automation tools like Ansible. * Interest in AI, machine learning, and related technologies. Backend Polyglot Integration Developer - What you’ll be doing: As a Backend Polyglot Integration Developer, you’ll work across backend systems, APIs, and digital More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

where the GPU, NPU (Neural Processing Unit) and other modules are designed for deep, synergistic cooperation. Your work will be critical to unlocking the full potential of neural rendering, machine learning and other technologies where traditional rasterization pipelines seamlessly fuse with real-time neural networks to generate imagery. You will be the bridge between our software and hardware … mapping neural networks efficiently onto tensor cores. Hands-on experience implementing or optimizing neural rendering technologies (e.g., NeRF, DLSS/FSR, neural graphics primitives). Deep understanding of the ML compiler stack (e.g., MLIR, LLVM). Experience with hardware virtualization (SR-IOV) for GPU/NPU resources. What we offer 33 days annual leave entitlement per year (including UK public … Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development More ❯

tasks, tracking progress, etc. Working with software engineers in the past Data management: working with spreadsheets or databases, ideally with documentation skills and some scripting(python) knowledge Effective communication ML/AI annotations data exposure is preferred, but we understand it’s a slightly niche area Required: Proven ability to manage multiple projects simultaneously, prioritising tasks, tracking progress, and communicating … to detail, excellent organisational skills and time management. Strong interpersonal and communication skills. Adaptable and quick to learn Desired: Previous technical experience connected to data collection, data annotation or machine learning Programming or scripting experience e.g. Python. Education Degree-educated or at least three years of relevant professional experience. Please feel free to contact myself – Daisy Nguyen at More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

understanding of advanced prompt engineering techniques. Good knowledge and practical experience with FastAPI and RESTful APIs. Solid knowledge of PostgreSQL. Experience with DevOps/MLOps, including deploying and monitoring ML pipelines. Good understanding of audio protocols (e.g., WebRTC, SIP, RTP). Preferred (Bonus) Skills: Production experience with Agno or Phidata. Familiarity with Microsoft Autogen or CrewAI agent frameworks. Experience with More ❯

across your accounts to internal stakeholders. Who we're looking for Proven experience in Customer Success or Account Management in a fast-paced environment; ideally in SaaS, AI/ML, or API-based technology. A commercially driven mindset with experience owning renewals, negotiating contracts, and identifying growth opportunities. Strong communicator, both written and verbal. Additional language skills; particularly Spanish, would … application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective More ❯

all accessible anytime, anywhere, through our 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 confidence and a strong More ❯

all accessible anytime, anywhere, through our 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 confidence and a strong More ❯