101 to 125 of 2,506 Machine Learning Jobs in England

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 to all of humanity through a free market. Our Principles: AUTONOMY Don't ask for permission - we have a More ❯

are looking for an exceptional Science Manager to join our Applied Science team and help develop the next generation of edge models, optimize them, and co-design with custom ML hardware based on a revolutionary architecture. Work hard. Have fun. Make history. Key job responsibilities Manage a team of 5+ scientists working on quantize, prune, distill, and finetune Gen AI … in training (preferably pretraining) Gen AI models. Foster collaboration with the compiler team, fellow applied scientists in the finetuning team, hardware architects, and product teams to build the best ML-centric solutions for our devices. Support team publications in open source and represent Amazon at key ML conferences such as NeurIPS, ICLR, and MLSys. BASIC QUALIFICATIONS 3+ years of experience … managing scientists or machine learning engineers. Knowledge of ML, NLP, Information Retrieval, and Analytics. Knowledge of machine learning approaches and algorithms. PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business applications. Experience building complex software systems involving deep learning, machine learning, and computer vision that have been successfully More ❯

that reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and … from their research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business … are expanding our remit to consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine More ❯

Role Overview: This is an exciting opportunity to join our Consulting Department in Sheffield as a Machine Learning Developer , where you'll contribute to innovative, data-driven projects that help clients solve complex business challenges through AI and machine learning solutions. If you're passionate about AI and eager to apply your skills in a fast … understand requirements and iteratively design and develop solutions. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Designing and building Python/ML/OCR-based components. Not only supporting thedevelopment of the product, but also the full lifecycle including the deployment, testing and production support of the application. Required Experience: Strong experience … Intelligent document processing using traditional models and Generative AI - particularly in using open-source models for achieving business outcomes. Experience delivering to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy More ❯

leading org built around fairness and sustainability within adtechis building products that can handle 400 billion auctions per day. Exceeding that of any Google or Amazon programmatic ad marketplace.The ML team is building products that help increase latency and speed. A globally distributed team with the bulk of the Data Science & Machine Learning org in Berlin. Their Executives … call the ML team the "secret sauce" to their evolution. What's in it for you? Salary £140-160k Hybrid Working environment Build at Scale - work on products that overshadow Google and Amazon searchscales AND see direct impact through visible KPI's Buy in from Execs - No headaches around trying to get the smallest thing approved. Work in an … goal for this Data Science team. Getting your team processes structuredand self sufficient is a key piece of the puzzle for this hire to be successful. 3. Data Science & ML: You need to know how these models work and all the different variables that can go wrong. Models outputs are not always 100% accurate. While not expecting you haveSpidey like More ❯

prediction, ranking and bidding for Amazon's programmatic advertising product. In this role you will work at the forefront of high scale low latency customer-facing advertising systems, mixing machine learning, game theory and feedback control. Your work will affect multi-billion dollar businesses, and you will be responsible for designing, testing and delivering significant breakthrough's for … in Amazon's advertisers and their objectives, and think long-term about how to turn those objectives into products and technical capabilities Understand the latest literature on auction theory, machine learning and measurement to guide strategic investment for the organization A day in the life Be immersed in Sponsored Display's auction data: candidate ads, objectives, bids and … prototype and validate new auction mechanisms or parameterizations Take technical leadership over turning prototypes into shopper- and advertiser-facing software Stay abreast of the latest trends and opportunities in machine learning, economics, auction theory and measurement Be an advocate and expert for SD's auction to leaders and stakeholders inside and outside advertising About the team Sponsored Display More ❯

Machine Learning Engineer Join our client in beautiful Coventry, United Kingdom, as a Machine Learning Engineer . This is a fantastic chance to contribute your expertise in engineering to a dynamic team dedicated to pushing the boundaries of technology. The ideal candidate will have proven experience in engineering, with a strong understanding of machine learning … permanent role that offers personal and professional growth, this could be the perfect fit for you. If you are ready to make a difference and advance your career in machine learning, we welcome your application! Note : Looking for only UK Nationals and who can start with 4-6 Weeks Notice More ❯

Machine Learning Engineer Location: Remote Salary: £70K - £80K Data Idols are working with an exciting company who specialise in renewable energy solutions to hire a Machine Learning Engineer. You will be at the forefront of the cutting edge data platform evolution and will be empowered to make decisions and have impact. The Opportunity Within this role … as a Machine Learning Engineer you will play a critical part in shaping and implementing the data product strategy, you will work with stakeholders across the business and act as a lead within the Data Science function, mentoring and guiding team members. In this company, you have the freedom to have impact, you are empowered to have impact … and SQL Understanding of ETL/ELT Experience developing models If you are looking for a new challenge, then please submit your CV for initial screening and more details. Machine Learning Engineer More ❯

POSITION SUMMARY Our team is looking to add an ambitious Senior Machine Learning Engineer who works well in an extremely innovative and fast-paced environment. If you can translate complex problems into actionable insights, then please continue reading. WHAT YOU'LL DO The successful candidate will work with a team of UK (London) based developers driving the definition … performs intelligent analysis including but not limited to object detection, tracking, and recognition for law enforcement, public safety, and media entertainment applications. The work will involve developing novel deep learning models and algorithms for image and video analysis; object detection and tracking; cross-domain/cross-view object localization; person and vehicle re-identification and search; visual attribute recognition … and search in videos and images; vision-language multimodal self-labeling and self-supervised learning; human-in-the-loop hard negative mining for model incremental learning; LLM (Large Language Model) driven image data generation and data distribution augmentation; and uncertainty quantification for label noise minimization. WHAT YOU'LL NEED Minimum qualifications: PhD degree or equivalent algorithm testing and More ❯

Role : Project Manager – AI & Machine Learning Research Location: London, UK- Hybrid role Duration: 5 Months … Possible extension) We're seeking a Project Manager to support a high-impact, multidisciplinary AI research team working at the frontier of machine learning , generative AI , and ML agents . In this role, you’ll bring structure to complex technical initiatives, coordinate across diverse teams, and help ensure the success of innovative research programs that shape the future … Coordinate third-party dataset approvals, project reporting, and research documentation Facilitate communication across engineering, product, legal, and other cross-functional teams Lead project planning sessions and track milestones for ML agent-based research initiatives Provide visibility into progress using data-driven updates, risk tracking, and mitigation strategies Align project goals with team and organizational strategy, ensuring all stakeholders are informed More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R … and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R … and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI More ❯

Tax Technology and Transformation Consulting team as a Data Science Manager. In this role, you will lead a team of data scientists and AI engineers to develop and implement machine learning and generative AI solutions that enhance tax compliance and strategy. Your hands-on experience will be crucial in guiding your team to explore how emerging technologies can … problems. Collaborate with cross-functional teams and clients to gather requirements and translate them into actionable technical specifications. Oversee the development and maintenance of production-grade Python applications for machine learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing … practices in code development and collaboration. To Qualify for the Role, You Must Have: As a Data Science manager, you should have strong commercial development experience in AI/ML, with a proven track record as a hands-on data scientist, delivering projects end to end, and experience in leading teams. Strong understanding of AI/ML algorithms, data science More ❯

professional will work collaboratively across the organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users. Responsibilities Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement machine learning algorithms and models for tasks such as classification … and recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating techniques for data … cleaning, feature engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments. Qualifications Bachelor's degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master's degree preferred; Proven experience implementing and fine-tuning Large Language Models or interactive More ❯

Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with … complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities Proactive approach with team members and clients Continuous improvement of core AI services … Take ownership of the services within your expertise Contribute to the ongoing innovation R&D projects Implement and maintain ML Infrastructure Requirements Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience More ❯

AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and … utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem. Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods … technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to More ❯

AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and … utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem. Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods … technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to More ❯

AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and … utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem. Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods … technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to More ❯

About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to … Retrieval-Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies More ❯

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge. This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the … you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies. Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at top international conferences (CVPR, ICCV, ECCV … regressive models) Efficient architectures for deployment Model compression (quantization, distillation) Efficient adaptation of large models What We're Looking For: Proven research experience in Computer Vision and/or Machine Learning Strong knowledge of deep learning frameworks (e.G. PyTorch) A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.) Excellent communication and collaboration More ❯

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge. This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the … you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies. Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at top international conferences (CVPR, ICCV, ECCV … regressive models) Efficient architectures for deployment Model compression (quantization, distillation) Efficient adaptation of large models What We're Looking For: Proven research experience in Computer Vision and/or Machine Learning Strong knowledge of deep learning frameworks (e.G. PyTorch) A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.) Excellent communication and collaboration More ❯

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge. This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the … you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies. Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at top international conferences (CVPR, ICCV, ECCV … regressive models) Efficient architectures for deployment Model compression (quantization, distillation) Efficient adaptation of large models What We're Looking For: Proven research experience in Computer Vision and/or Machine Learning Strong knowledge of deep learning frameworks (e.G. PyTorch) A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.) Excellent communication and collaboration More ❯

around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others … can't at What you'll achieve: As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support data-driven decision-making across … hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform More ❯

of data at Trainline. Our mission is to liberate Trainline data and delight customers with great data products built on a frictionless, modern data platform. Our data products include machine learning models that add real value to the customer journey, streaming data applications that personalise the customer experience in real time, dashboards that drive deep business and customer … and metrics built on our modern Data Lakehouse. As a Data Engineer, you will be part of a cross-functional Data Platform team working alongside data engineers, data scientists, machine learning engineers and BI engineers. Our data product teams are deeply embedded in the business so your work will have high impact by either driving key business decisions … providing deep customer insights or by adding intelligent machine learning experiences right in the core of our customer journeys. We use an agile delivery playbook that encourages incremental and iterative delivery, aims to release value early and often, measure the impact of work and using hypotheses to ensure we are solving real customer problems. Our Data Platform is More ❯

our larger purpose. Could that be you? Your mission As an applied scientist, you'll work at the intersection between research and product. You'll build, optimize and deploy machine learning models as well as scale them up. We're looking for people who love machine learning and computer science, are interested in the theory behind … need to be kind, courteous, motivated, self-starting, honest and responsible. What you'll do at UiPath Build and improve modern machine learning models to solve complex ML problems. Read papers, propose model improvements, implement and test the new models. Think about the best human-computer interfaces to make machine learning models accessible to everyone. Run … draw conclusions on the impact of your research-based optimizations and present your findings to the team. What you'll bring to the team Knowledge of Python and modern ML libraries like PyTorch, Tensorflow, or JAX. Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc. Strong quantitative intuition and mastery of linear algebra, probability and statistics. Solid More ❯