1 to 25 of 184 Machine Learning Jobs in the East of England

Cambridge working on cutting-edge machine learning projects from concept through to deployment. The Role: Research and develop innovative AI/ML solutions for challenging technical problems. Design, train and evaluate machine learning models across a variety of applications. Rapidly prototype, test and optimise new ideas. … Analyse research papers and apply the latest ML techniques. Design experiments, interpret results and present technical findings. Key Skills required for this Machine Learning Engineer role: Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject. Commercial or research experience in Machine Learning ...

good software engineering fundamentals. Experience could come from professional work, internships, academic projects, open-source contributions, or other practical software development. An interest in machine learning software and how AI models run on different hardware is important. Some experience with, or exposure to, machine learning frameworks … would be beneficial but is not essential. In this role, you will contribute to developing, testing, and improving software across different parts of the machine learning software stack. Working alongside experienced engineers, you will help investigate functional and performance issues and contribute to solutions across runtimes, compilers, drivers ...

type: Full-TimeWork site: 3 days/week in-officeRole type: Individual ContributorTravel: Less than 25%Profession: Research, Applied, & Data SciencesDiscipline: Research SciencesCompany: MicrosoftOverviewThe Machine Intelligence team at Microsoft Research Cambridge conducts foundational machine learning research across learning algorithms, model architectures, intelligent systems, and efficient AI.We … seeking a Researcher to develop new theoretical foundations for understanding how and why modern machine learning models learn, generalize, and behave. The research may address areas such as training and optimization dynamics, feature and representation learning, the role of architecture, and scaling and emergent behaviour, with opportunities ...

continued development of a range of technologies, a scientific technology development company, based in Cambridge, are currently looking for a skilled and experienced Machine Learning Expert who will be able to apply a unique Machine Learning approach on life improving technologies.In the past you would have … applied your Machine Learning techniques to a range of different applications. These could include deep neural networking, statistical signal processing, artificial intelligence, data science, machine learning or other complex fields.As you will be applying your development skills to a number of areas, we are happy with ...

Specific Skills and Experience RequiredWe're looking for strong C++ software development experience, ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology … design, develop, integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Beneficial but Not RequiredExperience across every area below is not expected. ...

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 ...

type: Full-TimeWork site: 3 days/week in-officeRole type: Individual ContributorTravel: Less than 25%Profession: Research, Applied, & Data SciencesDiscipline: Research SciencesCompany: MicrosoftOverviewThe Machine Intelligence team at Microsoft Research Cambridge conducts foundational machine learning research across learning algorithms, model architectures, intelligent systems, and efficient AI.We … systems. Our research investigates how AI systems can reason, remember, exercise control, and interact effectively with computational tools, with related opportunities in multi-agent learning and architectures. A central goal is to develop new foundations for AI agents that can operate reliably over long horizons while remaining understandable ...

Intelligence Engineering group are currently looking for a new Machine Learning Engineer to help with the development of a number of different ML/AI projects for the Medical Devices and Scientific sectors.We are looking for someone with a few years experience working in Machine Learning … Scientific fields.You will hold a degree from a leading university in Computer Science, Machine Learning, Artificial Intelligence or another subject that covered ML or AI projects.You’ll mainly be programming in Python, C++ and R, so past experience of this would be useful.It would be highly advantageous ...

Bioinformatician Are you a talented Bioinformatics Scientist with a passion for data science, machine learning, and genomics? We are seeking an ambitious and highly motivated individual to join an innovative research and technology team developing cutting-edge solutions in the field of functional genomics. This is an exciting … Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. ...

intelligence your team builds has a real effect on the business. Some of the great things you'll be doing:Leading Delivery of ML and AI SystemsLead and develop a team of ML engineers, creating the conditions for them to deliver robust, scalable systems into production - spanning real-time inference … ambition and delivery reinforce each other Contribute to standards and practices across the wider Data & AI Solutions chapter Technical Leadership Set the standard for ML and AI engineering quality, reproducibility, and production-readiness across your team - covering model pipelines, deployment tooling, system design, and lifecycle automation Take ownership ...

hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making … supporting Speechmatics towards being the most accurate speech 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. What you'll be doing: Work on complex R&D projects, with ...

Software Engineer and Line Manager to join Arm's Central Engineering Machine Learning Group. This is an opportunity to contribute to the ML SDK for Vulkan, an open-source project helping developers deploy machine learning workloads through Vulkan across a wide range of platforms and devices. … Technical Leads to align skills and engineering capacity with technical priorities. Contribute hands-on to the design, implementation, debugging, testing and maintenance of the ML SDK for Vulkan. Help us build an inclusive engineering environment where people can collaborate, learn, take ownership and improve. Plan and coordinate work across roadmap ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

Research, Cambridge, MA. This role combines hands-on delivery of robust image analysis workflows with advanced AI method development, including biomedical image segmentation, representation learning, foundation models, and scalable deployment. The successful candidate will embed within the research community as the team's scientific lead for imaging-AI, partnering … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong full-stack or AI/ML engineering experience, including production deployments.Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar.Strong awareness of the main process modeling approaches (mechanistic … first-principles models, hybrid models, data-driven and ML models, and process simulation), enough to work with process modelers, understand what each approach needs, and spot where AI can make it 10x more efficient. Deep experience in building mechanistic models is not expected.Strong AI modeling skills, including model identification: identifying ...

strong attention to access control and audit needs.Familiarity with product discovery methods (problem framing, value definition, iterative MVP delivery).Experience with analytics, AI, or machine learning enablement within production applications.The salary for this position is expected to range between $160,300 and $297,700 per year.The final salary … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Organization Awareness (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement ...

complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.Job Title: AI/ML ResearcherLocation: Great Baddow (Hybrid 2/3 days onsite)Who we are Join BAE Systems and you’ll be part of something bigger. … graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics.We are looking for an AI/ML researcher to join the Knowledge and Semantics team within our Data and Decision Support CapabilityYou will have the opportunity to work with colleagues across ...

global operations.OpportunityAs a key member of our PTME team, you will play a crucial role in shaping the future of automotive manufacturing through machine learning, advanced analytics and data-driven decision making.You will be responsible for identifying opportunities, developing analytical solutions and delivering measurable business outcomes across … full project lifecycle. This role offers the unique opportunity to combine technical data science expertise with real-world manufacturing problem solving.You will apply machine learning, statistical modelling and advanced analytics techniques to unlock insights from connected manufacturing data while working alongside a collaborative team of engineers, manufacturing specialists ...

service providers. Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements: PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience.3+ years of hands … experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industryExperience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong full-stack or AI/ML engineering experience, including production deployments. Demonstrated ability to build and ship production full-stack applications and APIs, from backend services to user interfaces. Strong proficiency in Python … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong Experience of full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Demonstrated ability to take ideas from … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong experience of full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Hands-on experience with GenAI patterns … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

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 ...