176 to 200 of 557 Machine Learning Jobs in the East of England

technology consultancy is seeking a Research Scientist – Knowledge & Semantics to lead a small team of experts exploring cutting-edge AI solutions across knowledge representation, NLP, LLMs, and graph-based machine learning. The organisation plays a pivotal role in delivering advanced research for secure government and national security clients, often operating at the intersection of AI, autonomy, cyber, and complex … tier academic institutions and SMEs on mission-led innovation in data and decision support systems. Key Responsibilities • Drive applied and novel research in knowledge representation, semantics, and graph-based ML • Lead the delivery of technical reports, research proposals, and PoC demonstrators • Mentor junior researchers and manage technical delivery across projects • Present findings to both technical and non-technical audiences • Engage … R&D teams (ideally 5+ people) • Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) • Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) • Deep experience in one or more of the following: o Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) o NLP and information extraction (transformer-based models desirable More ❯

devices. Your role will involve: Driving research and development in areas such as on-device large language and vision-language models (LLMs/VLMs), adaptive inference, and efficient mobile ML systems. Contributing to both ongoing research agendas and helping define new directions that push the boundaries of AI on edge devices. Collaborating closely with cross-functional teams across research and … product engineering to transition ML innovations from prototypes into production. Designing and developing novel machine learning algorithms and system-level optimizations that enable scalable, high-performance AI experiences on-device. Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale. Preparing technical documentation, contributing to publications, and supporting the creation of … Engineering, or a related field; or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … such as DP-100 and AI-102 - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … such as DP-100 and AI-102 - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … such as DP-100 and AI-102 - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

Client is looking for a talented and driven developer to join their agile team and help build cutting-edge solutions that combine traditional software engineering with emerging AI/ML technologies. About the Role: This hybrid role offers a unique blend of traditional application development and the exciting opportunity to work on AI/ML-driven solutions. You’ll collaborate … tools. Contribute to the full development lifecycle—from brainstorming new ideas to deploying and maintaining production systems. Drive innovation within our .NET platform while integrating cutting-edge AI/ML technologies. Collaborate with a cross-functional team to solve complex business problems through tech solutions. Required Skills & Experience: Strong experience in either C#/.NET or Python with the ability … DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Exposure to graph databases (e.g., Neo4j). Background in developing data-heavy or AI-enhanced applications. Why You’ll Love This Role: Collaborative Culture: The More ❯

Required: Mid-Level Python Developer with knowledge of AI or ML tools Are you an experienced developer passionate about AI technologies? Do you want to be part of an innovative team that’s shaping the future of subscription platforms? Out Client is looking for a talented and driven developer to join their agile team and help build cutting-edge solutions … that combine traditional software engineering with emerging AI/ML technologies. About the Role: This hybrid role offers a unique blend of traditional application development and the exciting opportunity to work on AI/ML-driven solutions. You’ll collaborate with both internal teams and clients to create tools that leverage AI for automation, enhanced decision-making, and real-time … DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Some expereince of C# .Net Exposure to graph databases (e.g., Neo4j). Background in developing data-heavy or AI-enhanced applications. Why You’ll Love More ❯

AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all … Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide! BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the … following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application - Experience with natural language processing and/or processing of multi-modal data (e.g. images) PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience with training and More ❯

for customers through integration of software libraries and hardware developed by Blaize with packages and applications from across the Linux ecosystem. Development and integration of applications and systems for machine learning, DNNs, AI and computer vision systems. Work with Sales/FAE and customers to provide technical expertise and debugging to enable customer … designs and products to be brought to production. Demo, PoC and prototype system development. Design, develop, test, and debug solutions for AI and Machine Learning based systems. ML network bringup and optimization for Blaize hardware. GStreamer based application development. Development of systems to run as standalone embedded systems. Analyze and enhance efficiency, stability, and scalability of system resources. … BEng or BSc Degree in Engineering, Computer Science or Electronics; or equivalent experience. 5+ years of relevant experience. Solid practical experience of: Languages: Python, C/C++, OpenCL, CUDA ML Frameworks: TensorFlow, PyTorch, Caffe2, ONNX, OpenVx Linux Environment Task and Data parallel/concurrent systems AI Network optimisations: quantization, compression (pruning etc.) Experience developing and delivering on projects using best More ❯

a Data Scientist within Semantic Search, you will influence the search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. This role is based out of our London (Farringdon) office, offering the flexibility of hybrid working. Spend three days a week in the … across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life … Learning components, and related technologies Using data to train and fine-tune models Developing efficient and high-quality code in Software Engineering Collaborating closely with Search Engineers, ML Engineers, and Data Scientists Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues Minimum requirements Experience as a Data Scientist or a PhD graduate with expertise More ❯

AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all … Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide! BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the … following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application - Experience with natural language processing and/or processing of multi-modal data (e.g. images) PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience with training and More ❯

to be part of a newly formed, high-performance team building enterprise-grade AI from the ground up. What You’ll Be Doing: Designing, developing, and deploying AI/ML solutions using Python and modern ML frameworks. Building and fine-tuning Large Language Models (LLMs) , working with embedding models and vector databases. Creating agentic workflows and tools that simulate decision … tools within a modern Azure cloud infrastructure (or similar). Supporting ongoing AI experimentation and driving continuous model improvement. Keeping up to date with research and innovations in AI, ML, NLP, and generative models. What We’re Looking For: Strong proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow). Solid understanding of machine learning fundamentals More ❯

labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing … suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa's performance in everyday More ❯

Role: Senior Research Scientist – Data Science & Machine Learning Location: Chelmsford (Hybrid: 2 days onsite, 3 remote) Salary: £60,000 - £70,000 + 10% bonus Hours: Full-time, 37 hours/week Join a world-class research and technology organisation that’s redefining what’s possible in AI, machine learning, and advanced data science. With a mission … and/or patent novel research outcomes , contributing to academic journals, conferences, or intellectual property portfolios where appropriate. What You’ll Bring: PhD or equivalent experience in Artificial Intelligence, Machine Learning, or statistical signal processing. Proficient in Python , with strong development skills and hands-on experience using machine learning libraries such as PyTorch and scikit-learn. More ❯

Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud, Power BI, or Tableau, as well as the AI, ML, and NL tools available in Fabric. This includes leveraging Azure Machine Learning for predictive analytics. Preparing ad-hoc analysis and presenting results in a clear manner Work with More ❯

Knowledge & Semantics team. This is a rare opportunity to work at the bleeding edge of applied AI with a team of researchers solving problems in NLP, knowledge graphs, graph ML, and LLM applications—all with real-world impact in national security and defence. If you're excited about predictive graph learning, symbolic AI, and leading innovative R&D in … close partnership with academia, this could be the career-defining role you’ve been waiting for. Key Responsibilities • Lead and deliver cutting-edge R&D across NLP, graph ML, and semantic reasoning • Drive proposal writing and secure funding for innovative research in the defence space • Collaborate with other AI and ML teams across BAE’s national innovation programmes • Develop prototypes … present research outcomes, and contribute to cross-functional client delivery • Act as technical lead across internal and customer-facing research projects Key Skills & Expertise • PhD in AI/ML-related discipline with 4+ years’ postdoc or commercial research experience • Track record of leading R&D teams (5+ developers) and delivering to defence or government customers • Deep understanding of knowledge graphs More ❯

the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services. ADS’ mission is to provide high-quality labelled data for machine learning (ML) technologies. BASIC QUALIFICATIONS - Bachelor's degree in Engineering, Science, Supply Chain, or Operations related fields - Experience with people management and operations leadership - Experience in a management role in a technical More ❯

days a week in the Cambridge office. This role focuses on maintaining and optimising the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python, etc.) for machine learning projects, as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring optimal performance) and cloud infrastructure for GPU compute … resolve server and software-related issues Working closely with the project manager to ensure efficient resource allocation, server utilisation, and scaling across multiple teams Collaborating with data scientists and machine learning engineers to understand their software requirements and provide guidance on best practices Assisting in training team members on the capabilities and usage of the HGX servers and … will be an independent thinker with a startup mindset. Technology-wise, you will have experience in system administration, preferably with a focus on HPC platforms, GPU-based servers, and machine learning software environments, as well as familiarity with AI and HPC provisioning and management, both on-premises and in the cloud. You will have experience with server virtualization More ❯

Graduate Application Software Engineer Location: Cambridge, UK (Hybrid) Salary: £30,000 - £35,000 (depending on experience) Recent Graduates & Early-Career Developers Welcome! The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on … Work with a globally respected AI software company. * Competitive salary and benefits. * Hybrid working model with a collaborative office culture in Cambridge. * Learn from top experts in AI and machine learning. * Clear progression path and opportunities to grow your career. Application Process * Submit a CV that highlights your academic achievements and any relevant experience. * Initial discussions will take place … your career in software engineering? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer. Relevant Keywords Graduate Software Engineer, Python, Java, Node.js, AI, Machine Learning, SDLC, Application Development, Cambridge Tech Jobs, Entry-Level Developer, Software Engineering Graduate Role More ❯

products Develop an understanding of how and where we can improve current processes & practice Introduce and lead research and development projects to improve the performance and efficiency of the machine learning models Collaborate with Technical Pricing Team to identify business problems and recommend solutions Adapt working with our current tools and developments that are mainly based on R … Work with other data scientists Skills, Experience And Knowledge Programing skills in Python or R (or both) and their relevant data science and statistics libraries Knowledge on data manipulations, machine learning, advanced analytics, and statistical techniques Ability in communicating with the team members and written and verbal presentation skills Ability to engage in teamwork and to collaborate with More ❯

the envelope in LLMs for Alexa, in order to provide the best-possible customer experience for our customers. BASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience with a strong publication record in top-tier journals and conferences. Functional thought leader, sought … scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering More ❯

at the single-cell level-making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches. You'll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets, mechanistic simulations, and predictive AI models. Your work will … with omics data analysis and integration - Hands-on expertise in developing and fitting executable models - Strong communication and teamwork skills You may also have - Network inference and analysis experienc - Machine learning experience - Track record of completed research projects (e.g., publications, tools) Benefits and Contract Information - Financial incentives: depending on circumstances, monthly family/marriage allowance of £272, monthly More ❯

and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring practices across distributed systems Evaluate emerging technologies and cloud services for platform enhancement Required Experience & Skills: 7+ years engineering experience … with 3+ years in leadership roles Strong background in both traditional web development and AI/ML systems Experience with our core technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector … orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI services and on-premise model hosting Leadership Skills: Track record of building and scaling engineering teams Strong communication More ❯

and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring practices across distributed systems Evaluate emerging technologies and cloud services for platform enhancement Required Experience & Skills: 7+ years engineering experience … with 3+ years in leadership roles Strong background in both traditional web development and AI/ML systems Experience with our core technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector … orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI services and on-premise model hosting Leadership Skills: Track record of building and scaling engineering teams Strong communication More ❯

and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring practices across distributed systems Evaluate emerging technologies and cloud services for platform enhancement Required Experience & Skills: 7+ years engineering experience … with 3+ years in leadership roles Strong background in both traditional web development and AI/ML systems Experience with our core technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector … orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI services and on-premise model hosting Leadership Skills: Track record of building and scaling engineering teams Strong communication More ❯