1 to 25 of 30 Machine Learning Jobs in East Anglia

who thrives in environments where reliability, scale, and impact truly matter. At Rightmove, you'll join a close-knit, collaborative AI team that's developing, shipping and operating live ML/AI services that help Rightmove deliver exceptional experiences and value to consumers, our partners and all our stakeholders across the UK property market. You'll be at the heart … deploying, and operating machine learning systems that leverage Rightmove's data at large scale. You'll have the opportunity to shape best practices, own and grow the ML Ops discipline, and help us move from first launches to robust, sustainable production. In this role, you will work in a cross-functional team to productionise machine learning … You'll collaborate closely with data scientists, engineers, and product teams to automate workflows, monitor performance, and retrain models as needed. You'll bring a passion for building reliable ML infrastructure, a strong technical foundation in modern machine learning engineering, and a track record of working in environments where reliability and scale are paramount. Our Data & Analytics team More ❯

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning sound … into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models that run … Machine Learning, Information or Biomedical Engineering (or similar). Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development. Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM. Solid understanding of model optimisation for constrained hardware environments. Ability to write clean, maintainable, and well-tested code in a More ❯

process vast amounts of unstructured data to reveal hidden patterns in global emissions. You'll collaborate with our climate science team to translate cutting-edge research into production-ready ML solutions, leveraging our graph-structured emissions models to understand complex supply chain relationships. You'll engage with technical stakeholders across industries, building scalable ML systems that drive decarbonisation at global … industrial and economic data into our database and to generate training data for our models Collaborate with climate mitigation scientists and process engineers to translate domain expertise into scalable ML solutions Evaluate and recommend appropriate ML implementations by balancing upfront setup costs and effort against business value and company goals Guide the integration of out-of-the-box AI tools … to enhance internal operations and support front-end use cases Stay up-to-date with the latest ML theory, techniques, and out-of-the-box tools Contribute to technical documentation and present ML methodology insights to both internal teams and external stakeholders Required Qualifications Master's or PhD in Computer Science, Machine Learning, Data Science, or related field More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

main task will be to develop breakthrough technologies in the area of Vision and Language. You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges. While the target is mid- to long-term research, upon maturity of the research, the team is … product divisions and their Engineering teams, which will then be in charge of driving the commercialization. Role and Responsibilities We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are … Interact with product and engineering teams for the purpose of technology transfer. Skills and Qualifications Key Skills Required: Research experience in the fields of Computer Vision and/or Machine Learning. Familiarity with fast prototyping Deep Learning frameworks such as PyTorch. A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL More ❯

Job Description: We are seeking a highly motivated Automation Engineer to join our data capture and validation laboratory based in Cambridge. In this role, you will collaborate closely with machine learning and algorithms teams to develop automated processes for validating new product features. This is a hands-on position involving robotics, camera systems, and lighting equipment. The ideal … candidate will have experience working with robotics or 3D geometry, supported by strong software engineering skills. An interest in machine learning, computer vision, or software quality assurance is highly desirable. This is a full-time, on-site role, and candidates must be able to work from our Cambridge office. Key Qualifications Master’s degree (or equivalent) in an … Minimum of 3 years’ industry experience, ideally within software or robotics. Proven expertise in developing autonomous robotic solutions. Strong understanding of 3D geometry. Exceptional software engineering skills. Interest in machine learning or computer graphics is advantageous. Comfortable with hands-on, practical work in a laboratory environment. More ❯

to design solutions that push the boundaries of camera technology and image quality. Key Responsibilities: Design, develop, and optimize algorithms for camera image processing, calibration, and quality assessment. Implement machine learning and deep learning models for tasks such as denoising, segmentation, HDR imaging, and artifact detection. Collaborate with hardware and software teams to integrate algorithms into camera … image quality evaluation and performance monitoring. Required Skills & Experience: Proven experience in camera algorithms, image processing, or computer vision. Strong programming skills in Python, C++, and MATLAB. Experience with machine learning/deep learning frameworks such as PyTorch or TensorFlow. Knowledge of imaging sensors, optics, and camera systems. Hands-on experience with image quality assessment, segmentation, or More ❯

Automation Engineer - ML Rate - £300 Inside IR35 Duration - 8 months Location - Cambridgeshire two/three times a week on site Apple is looking for a highly motivated engineer to work in a data capture and validation lab in our R&D office in Cambridge. You will be working side by side with ML algorithms teams to create automated processes to … will be 'hands-on', working with robotic, camera and lighting equipment. Candidates should have experience working with robotics or 3D geometrical problems, with supplementary exceptional software skills. Interest in machine learning, computer vision, software QA are desirable. This is a full-time position, candidates must be able to work from our Cambridge office the majority of the time. … Minimum qualification: 3+ years working in industry, with experience in software or robotics. Expertise in developing autonomous robotic solutions. Expertise in 3D geometry. Exceptional software engineering skills. Interest in Machine Learning or Computer Graphics is preferable. Comfortable with hands-on practical tasks, working in a lab environment. Reasonable Adjustments: Respect and equality are core values to us. We More ❯

where scalable systems meet real-world AI? This Cambridge-based team is building products that make complex, data-driven decisions seamless. Their work bridges the gap between cutting-edge machine learning and production-ready software used by global customers across sustainability, healthcare, and advanced engineering. You’ll join a collaborative engineering group that blends software craftsmanship with deep … seamlessly with machine learning models and data pipelines Implementing data processing and automation workflows, connecting real-world systems to intelligent decision layers Working closely with AI/ML engineers to deploy and scale models in production environments Contributing to architecture and design discussions, helping shape the technical direction of new products Building and maintaining CI/CD pipelines … Strong commercial experience developing production-grade systems in Python with proven experience at Senior level Experience with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Exposure to ML model integration, APIs, or data-driven systems (you don’t need to be a Data Scientist) A problem-solving mindset and passion for building software that drives impact Why join More ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to: Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP). Visual LLMs (e.g. LLaVA). … Interact with product and engineering teams for the purpose of technology transfer. Skills and Qualifications Key Skills Required: Research experience in the fields of Computer Vision and/or Machine Learning. Familiarity with fast prototyping Deep Learning frameworks such as PyTorch. A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL More ❯

experience in software or robotics. Working in a data capture and validation lab in the R&D office in Cambridge UK. You will be working side by side with ML algorithms teams to create automated processes to validate new features for products. This work will be 'hands-on', working with robotic, camera and lighting equipment. Candidates should have experience working … with robotics or 3D geometrical problems, with supplementary exceptional software skills. Interest in machine learning, computer vision, software QA are desirable. This is a full-time position, candidates must be able to work from the Cambridge office the majority of the time. Key Qualifications: * Minimum qualification: Masters Degree in engineering related discipline. * Minimum qualification: 3+ years working in … industry, with experience in software or robotics. * Expertise in developing autonomous robotic solutions. * Expertise in 3D geometry. * Exceptional software engineering skills. * Interest in Machine Learning or Computer Graphics is preferable. * Comfortable with hands-on practical tasks, working in a lab environment. Everybody is welcome Diversity and Inclusion Statement. | PCR Digital 'At PCR Digital, we are committed to ensuring More ❯

relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. • The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks. • Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike. • Complex problem-solving … ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. • Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required • Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/ More ❯

relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. • The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks. • Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike. • Complex problem-solving … ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. • Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required • Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/ More ❯

relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. • The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks. • Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike. • Complex problem-solving … ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. • Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required • Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/ 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 ❯

spikes, and playback issues. Strong leadership and communication skills for cross-functional collaboration. Experience with broadcast/MAM integration (Avid, Dalet, Viz One, Adobe). Familiarity with AI/ML in media workflows (auto-tagging, transcription, object recognition). Hands-on experience with identity/access management and content security. Cloud certifications (AWS/Azure/GCP). More ❯

spikes, and playback issues. Strong leadership and communication skills for cross-functional collaboration. Experience with broadcast/MAM integration (Avid, Dalet, Viz One, Adobe). Familiarity with AI/ML in media workflows (auto-tagging, transcription, object recognition). Hands-on experience with identity/access management and content security. Cloud certifications (AWS/Azure/GCP). More ❯

from bare-metal servers to cloud abstractions — and motivated to understand how each layer fits together. Naturally inquisitive and eager to dive deep into new technologies; you thrive on learning as you go. Prior experience with on-call rotations and incident response is a plus. Familiarity with OpenTelemetry and related observability tooling is advantageous. We encourage you to apply … 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 ❯

About White Fire Technologies White Fire Technologies is a UK-based EdTech and IT services organisation focused on bridging the gap between academic learning and real-world industry needs. We deliver high-quality technology training, career-oriented programmes, and live project experiences to help learners and young professionals develop practical, job-ready skills. About the Internship We are offering … learn essential tools and technologies, and contribute to meaningful outcomes across departments. Available Internship Domains You can apply for any one of the following tracks: Data Science Artificial Intelligence & Machine Learning Cybersecurity Cloud Computing Web Development Responsibilities Participate in live and recorded training sessions led by industry mentors. Work on assigned projects to apply theoretical knowledge practically. Collaborate … execution depending on your track. Requirements Currently pursuing or recently completed a Bachelor's/Master's degree in Computer Science, IT, Engineering, Business, or related field. Passionate about learning and adapting to new technologies. Good communication and problem-solving skills. Basic technical or domain knowledge (training support provided). What You'll Gain Internship Certificate from White Fire More ❯

environments such as Azure. Experience with Azure based AI technologies such as Azure AI Foundry Experience working with LLMs and Agentic AI on real-world problems. Strong understanding of machine learning algorithms and natural language processing techniques. Strong inter-personal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions. Experience with More ❯

leading technology company, based in Cambridge. As a Senior Software Engineer, you will be responsible for developing and enhancing AI features within their engineering tools, applying advanced AI and machine learning methods to solve complex technical challenges. You will also have the opportunity to guide and educate team members on best AI practices, evaluate algorithms, document results, and … reviews and testing. This is an on-site role. Experience of the Senior Software Engineer will include: PhD in a STEM discipline Strong C++ development Knowledge of AI/ML concepts and frameworks If you are a Senior Software Engineer interested in working for a Fortune 100 organisation, please apply today to learn more. More ❯

driving innovation. Education: Bachelors or Masters in Engineering or related field (or equivalent experience). Nice to Have: Background in the mission critical communications sector Experience integrating AI/ML into communication platforms More ❯