1 to 25 of 38 Machine Learning Jobs in the East of England

multidisciplinary teams of scientists and engineers. The role spans research, prototyping, and deployment of machine learning systems across diverse real-world applications.You will contribute to the full ML development cycle, including ideation, data preparation, rapid prototyping, model design, evaluation, and packaging solutions into client-ready demonstrators and products. Key Responsibilities Design, develop, and deploy machine learning models for novel or complex problems. Research and experiment with emerging model architectures and ML technologies. Build rapid prototypes and assess feasibility for real-world applications. Work across disciplines, integrating science, engineering, and machine learning. Solve technical challenges across the entire ML pipeline and development lifecycle. About You*Must be Sole British National for this role* You are … curious, creative, and bring a strong scientific approach to problem-solving. You enjoy exploring new concepts, learning quickly, and applying ML in innovative ways. You will have: A 2:1 or above degree in Maths, Physics, Engineering, Computer Science or a similar subject. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. Experience More ❯

teams of scientists and engineers. The role spans research, prototyping, and deployment of machine learning systems across diverse real-world applications. You will contribute to the full ML development cycle, including ideation, data preparation, rapid prototyping, model design, evaluation, and packaging solutions into client-ready demonstrators and products. Key Responsibilities Design, develop, and deploy machine learning models for novel or complex problems. Research and experiment with emerging model architectures and ML technologies. Build rapid prototypes and assess feasibility for real-world applications. Work across disciplines, integrating science, engineering, and machine learning. Solve technical challenges across the entire ML pipeline and development life cycle. About You *Must be Sole British National for this role* You … are curious, creative, and bring a strong scientific approach to problem-solving. You enjoy exploring new concepts, learning quickly, and applying ML in innovative ways. You will have: A 2:1 or above degree in Maths, Physics, Engineering, Computer Science or a similar subject. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. More ❯

must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark … Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine-tuning, prompt optimization, and monitoring. Architect secure ML/AI systems on Azure, AWS, or GCP . Deploy containerized web apps and ML services using Docker, Kubernetes (AKS/EKS/GKE), Azure Container Apps, ECS , integrated with … CI/CD (GitHub Actions, Azure DevOps, Jenkins). Mentor engineers, enforce best practices, and lead design/architecture reviews. Required Skills & Experience: 5+ years in ML/AI solution development. Recent hands-on experience with Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. More ❯

3D image analysis, life sciences/bio, machine learning, CNNs Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D/4D (space and time) datasets in the life sciences, using a combination of image processing and machine learning techniques. You will support equally … Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics 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 ❯

a week on site (Some flex) 6 months initial - potential extension A leading technology company is seeking a Robotics Lab Engineer to support the development of computer vision and machine learning algorithms. This position involves hands on lab-based work with physical hardware and automation systems to generate and validate large-scale image datasets. Role Focus Operate and … A technically creative engineer who thrives in a hands-on robotics environment, capable of turning experimental requirements into practical, automated solutions that enable the next generation of health-based machine learning features. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

clients across the UK and internationally make healthcare more transparent and efficient.You’ll be part of a small, agile team where your work will have real impact and where learning and growth are built into the culture. Whether it’s expanding your technical toolkit or getting closer to the business side of data, this role is designed to help … Collaborating across teams to improve data workflows and infrastructure What You’ll Bring Solid Python and SQL skills Clear verbal and written communication A genuine interest in AI, LLMs, machine learning, and deep learning — if you’ve worked with them, great; if not, you’ll be supported to learn This is more than just a job it More ❯

prepare datasets from various sources, ensuring data quality and consistency prior to analysis. Explore and analyse datasets using a range of analytical tools – including statistical methods, regression analysis, and machine learning techniques – to identify key trends and generate actionable insights for research projects. Create clear, engaging data visualisations and dashboards to communicate key research insights to internal and … team player who can work collaboratively and communicate clearly within a team. Self-starter with a positive attitude, curious mindset, and willingness to embrace new challenges. Commitment to continuous learning and professional development. Training Ongoing employment and career progression. Apprenticeship Standard Data analyst (level 4) Training Provider DIGITAL NATIVE (UK) LIMITED Working Week Monday - Friday, shifts to be confirmed. More ❯

Whale Skiller Whale changes what tech teams are capable of through live sessions led by subject-matter experts. Developers attend a 60-90 minute session every week or two, learning something new through challenging exercises with an expert leading the session to explain the topic and answer difficult questions. Learners love us (they give us an average rating of … 4.8/5) and we have a measurable impact on the teams we work with. Our learners say: | "The real-time feedback loop of learning something, putting it into practice and getting insight beyond 'it works' beats any other learning experience I've had by miles" | "I loved that I could ask any questions at all, and learned … d love for you to apply if you enjoy building the skills and understanding of others, and have experience with most (at least 4) of the following: Explaining basic machine learning concepts to others. Some knowledge of LLM internals, e.g. transformer building blocks (at least enough to underpin deeper understanding of their behaviour) Prompt engineering Agentic AI & using More ❯

access management, data privacy, handling of sensitive data (e.g. GDPR) and data lineage • Knowledge of the DataOps processes for the continuous deployment of UCDAs to production environments • Data Science machine learning (MLOps) model lifecycle • Worked with modern lakehouse and data management platforms – e.g.Databricks, Atlan, Monte Carlo What you’ll get in return: At easyJet, we pride ourselves on More ❯

Skills: • Experience with Docker for containerization. • Familiarity with Jenkins or similar CI/CD tools. • Exposure to monitoring and error tracking tools such as Sentry. • AI/LLM/ML experience Benefits Alpha has been at the forefront of the translation, localization and now globalization industries since 1987. We've built an in-house production model for the world's 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

the subject matter expert (SME) for Splunk across all cyber security and observability use cases. Lead SOC automation initiatives using scripting and SOAR tools, optimising processes through AI and ML technologies. Support alert tuning, connectivity, and visibility across monitored networks and infrastructure. Maintain and document SOC integrations, ensuring accurate configuration and performance visibility. Oversee SOC appliance maintenance, including patching, software … supporting end-of-life refresh activities. Experience with VMware or Hyper-V environments and virtual networking. Demonstrated capability in implementing and maintaining cyber security tooling. Familiarity with AI or machine learning for workflow and playbook optimisation. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence More ❯

the subject matter expert (SME) for Splunk across all cyber security and observability use cases. Lead SOC automation initiatives using scripting and SOAR tools, optimising processes through AI and ML technologies. Support alert tuning, connectivity, and visibility across monitored networks and infrastructure. Maintain and document SOC integrations, ensuring accurate configuration and performance visibility. Oversee SOC appliance maintenance, including patching, software … supporting end-of-life refresh activities. Experience with VMware or Hyper-V environments and virtual networking. Demonstrated capability in implementing and maintaining cyber security tooling. Familiarity with AI or machine learning for workflow and playbook optimisation. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯