251 to 275 of 2,098 Machine Learning Jobs in England

the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative … AI, and more. We are passionate about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI … HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS More ❯

in 2023 - in the heart of Central London and home to our Research Lab. The role We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team This is an exciting role. You will develop greenfield solutions to meet highly complex ML interdependency requirements. Where off … quantitative research. Future projects include: Implementing best practice feature and model stores Properly versioning features, data and models Improving inference compute utilisation via model serving CI/CD for ML Reliably fitting models with complex job dependency graphs Robustness in production, including validation and monitoring Who are we looking for? You will be an intelligent, pragmatic and capable engineer. You … to grips with the widely varying requirements across different teams. You will bring industry experience to the table, helping us to apply best practice and drive improvements across our ML operations. The ideal candidate will have the following skills and experience: An appreciation of good architecture and MLOps best practice The ability to collaborate with, and influence, technical and non More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

AI solutions to solve complex business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience … the Role, You Must Have As a Senior Data Scientist, you should have strong commercial development experience in developing and deploying LLM-based applications. Strong understanding of AI/ML algorithms, data science, and machine learning. Demonstrated proficiency in: Rapid prototyping of Data Science and Machine learning problems on large datasets. Building agentic workflows and autonomous agents More ❯

to join a leading-edge Artificial Intelligence Centre in Cambridge. This is a permanent, full-time role ideal for a passionate researcher or engineer with a strong background in Machine Learning and a keen interest in efficient AI systems for mobile and embedded platforms. You'll be joining a world-class team focused on developing and commercialising next … and contribute to research in efficient machine learning, including on-device large language and vision-language models Collaborate with cross-functional product and research teams to integrate ML solutions into real-world consumer devices Design and implement novel ML algorithms and mobile ML systems with a focus on performance, scalability, and efficiency Translate research into practical solutions, contributing … growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in Python, C/C++, and GNU/ More ❯

to join a leading-edge Artificial Intelligence Centre in Cambridge. This is a permanent, full-time role ideal for a passionate researcher or engineer with a strong background in Machine Learning and a keen interest in efficient AI systems for mobile and embedded platforms. You'll be joining a world-class team focused on developing and commercialising next … and contribute to research in efficient machine learning, including on-device large language and vision-language models Collaborate with cross-functional product and research teams to integrate ML solutions into real-world consumer devices Design and implement novel ML algorithms and mobile ML systems with a focus on performance, scalability, and efficiency Translate research into practical solutions, contributing … growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in Python, C/C++, and GNU/ More ❯

to join a leading-edge Artificial Intelligence Centre in Cambridge. This is a permanent, full-time role ideal for a passionate researcher or engineer with a strong background in Machine Learning and a keen interest in efficient AI systems for mobile and embedded platforms. You'll be joining a world-class team focused on developing and commercialising next … and contribute to research in efficient machine learning, including on-device large language and vision-language models Collaborate with cross-functional product and research teams to integrate ML solutions into real-world consumer devices Design and implement novel ML algorithms and mobile ML systems with a focus on performance, scalability, and efficiency Translate research into practical solutions, contributing … growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in Python, C/C++, and GNU/ More ❯

Machine learning. A long way has come since Sci-Fi films like Terminator and iRobot got us thinking about robots taking over the world. But in the 2020s, hearing AI and machines in the same sentence means a world of innovation. This is a chance to be part of a brand new Machine Learning team within one … for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. You'll have worked as a Machine Learning Engineer or Data Scientist in the past, ideally centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS). … tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In return, you'll be offered a supportive team culture with flexible, hybrid work options and room for professional growth. If you're eager to contribute More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … infinitely patient and leave no student behind. We'll augment our memories with foundation models -individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfaces-blurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn … is the machine learning compute protocol that translates machine learning compute into an always-on commodity resource-outside of centralised control and as ubiquitous as electricity-accelerating AI progress and ensuring that this revolutionary technology is accessible toall of humanitythrough a free market. Our Principles: AUTONOMY Don't ask for permission - we have a constraint culture More ❯

Data & ML Product Lead London (Hybrid) £105,000 - £120,000 + bonus We're partnered with one of the UK's leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure … to help the customers, take on new technologies and develop business outclass. The Data & ML Product Lead will focus on the data and machine learning products and aim to drive the data strategy, development and delivery of the organisation. The position will benefit from hybrid working of 3 days a week onsite from their London office. Responsibilities of … the Data & ML Product Lead: Drive the Data Product strategy that aligns with the business data strategy and goals. Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products Track the data product performance to More ❯

A start ups. With heavy investment from Google Ventures and Series B about to kick off early next year, this is a unique opportunity for a Lead, or senior ML Engineer who wants to take the next step in their career. This firm partner with a range of the largest banks, insurance and real estate firms in the world. They … losses these firms will experience due to severe weather events in the future. They are on their way to take over the climate risk industry. As Lead AI/ML Engineer you will work closely with senior stakeholders and product teams to drive the companies AI/ML strategy, remaining hands on, building out end to end GenAI features and … ML models. Must Have 5 + years in Python development, specializing in ML Libraries such as Scikit-learn and PyTorch. Proven ability to lead teams and work with non-technical stakeholders. Have worked on GenAI initiatives Nice to have Experience in an early start up environment Experience working with Geo-spatial data More ❯

knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses … of Generative LLM's Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) Comfortable working with Python and Jupyter Notebooks Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills Good to have: Expertise in any one framework (TensorFlow, Pytorch … Keras) Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML Expertise in optimizing AI solutions for runtime cost. Expertise More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join … and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product engineers. This hands-on role involves leading technical delivery, providing engineering assurance on bids and publications, mentoring junior researchers, and influencing research … e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within the defence sector Proven leadership experience managing R&D teams of 5 or more Experienced in engineering assurance activities Strong track More ❯

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join … and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product engineers. This hands-on role involves leading technical delivery, providing engineering assurance on bids and publications, mentoring junior researchers, and influencing research … e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within the defence sector Proven leadership experience managing R&D teams of 5 or more Experienced in engineering assurance activities Strong track More ❯

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join … and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product engineers. This hands-on role involves leading technical delivery, providing engineering assurance on bids and publications, mentoring junior researchers, and influencing research … e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within the defence sector Proven leadership experience managing R&D teams of 5 or more Experienced in engineering assurance activities Strong track More ❯

Control & ML Engineer Paris, France (1/2 days a week remote) CDI, Permanent Position €50k+ 5V Tech is collaborating with a pioneering company at the cutting edge of robotics and medical technology. This fast-growing organisation is developing next-generation wearable devices designed to enhance mobility and independence for individuals with limited movement. They're now looking for a … Control & ML Engineer to join their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid … and end-to-end policies using reinforcement learning Developing accurate simulation models and enhancing system realism Writing efficient, production-level code in both C++ and Python Building algorithms for state estimation and motion trajectory optimisation Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control Engineering, Machine More ❯

a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas, and be conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with More ❯

a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas, and be conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with More ❯

AI/ML Consultant, Professional Services, Global Accounts Job ID: Amazon Web Services Australia Pty Ltd Are you a strategic thinker with hands-on technical skills that can influence stakeholders to set a bold vision and lead teams through high impact programs using Artificial Intelligence and Machine Learning? Would you like a career that gives you opportunities to … help the largest Global customers and partners innovate and transform on Amazon Web Services? At AWS, we're hiring an experienced business-oriented AI/ML practitioner. They must possess a unique balance of business knowledge and technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. Their focus will be providing solutioning support with customer … executives followed by hands-on delivery for AI ML workloads. Successful candidates will have executive level experience defining, designing, and deploying enterprise level strategic solutions leveraging Data, Artificial Intelligence and Machine Learning. Domain expertise should include deep, practical and hands-on understanding of Machine Learning, Data and Business intelligence. The ideal candidate will also have experience with More ❯

to develop this aspect for publication Assessing feasibility for integration with current UK-wide models of care Main duties of the job Workstream 1: Using machine learning (ML)-driven Urology Triage Platform (UTP) to help address the increased Urology referrals of an ageing population directly addresses two of the industry research grand challenges of AI -supported initiates and … support an ageing population and is consistent with the NHS long term plan pledge of 'digitally enabled' outpatient care becoming mainstream. Our previous work with Demdx has demonstrated a ML technical and clinical Urology Triage Platform (UTP) with developed ML algorithms to optimise clinical pathways can be potentially trained to a range of supervised learning models using a combination … and male reproductive organs. We deliver various types of research studies in the directorate. Job description Job responsibilities Duties and Responsibilities Contribute to the development, training, and validation of ML models by preparing structured datasets derived from anonymised patient records and SNOMED-coded symptoms, in accordance with project protocols.Support the technical write-up of model development and results for internal More ❯

technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: - Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. - Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. - Enhancing Copilot Search by developing novel content representation models. - Building the next … Math, Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. - Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking … Natural Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and data analysis More ❯

Learning training. This position requires a passion for clean code and strong software development principles. The scope includes everything from how we architect, configure, and run our ML configuration systems to the training pipelines, testing pipelines, and general tooling that support our model development. You will collaborate closely with our team of ML engineers to seamlessly integrate your … understanding of modern Perception systems and their architectures Experience in several of the following areas:- Software for real-time safety-critical systems- Software engineering for robotics or perception applications- Machine learning model training, machine learning infrastructure, and associated tools- Writing performant, real-time software- Parallel Programming and working with hardware accelerators- Cloud computing and large-scale More ❯

of complex document workflows that support global commerce. What You’ll Do • Design and deploy LLM and transformer-based models for document classification and key data extraction • Build automated ML pipelines for model training, testing, and deployment • Engineer robust APIs and integrate models into scalable backend systems • Experiment with GenAI techniques and fine-tuning strategies • Collaborate with product, infrastructure, and … compliance teams to deliver real-world results What We’re Looking For • 5+ years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset – writing production-grade, scalable code Bonus Points For • Experience … doing things properly • Opportunity to shape both the tech stack and the future of the platform • Culture of ownership, collaboration and continuous learning If you're a strong ML engineer who thrives in real-world problem solving, please APPLY TODAY. More ❯