276 to 300 of 431 Deep Learning Jobs in the UK

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data … customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent understanding of classical ...

hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration.What You’ll DoArchitect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)Design agentic workflows enabling AI agents … cloud-native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation ...

team at Wise is dedicated to safeguarding our platform against financial crime, while ensuring seamless service for our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing AML detection systems which have evidenceable regional coverage … team.Our vision is:Build a globally scalable AML prevention and detection engine to maintain Wise as a secure environment for our legitimate customers.Utilise machine learning techniques to identify potential risks associated with customer activity.Foster a strong partnership between our AML investigators and the product team to develop solutions that ...

where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes.As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‐edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.Our name comes from the belief that there … critical model artifacts, and embed seamless security controls directly into distributed training and inference infrastructure. You will serve as the technical anchor bridging machine learning engineering, platform architecture, and adversarial defense.Operating in a fast-moving, high-stakes environment, you will lead AI-specific incident response and pioneer model-driven ...

grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design … industry experience in building or evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks (PyTorch, TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal ...

will have the opportunity to: Design and implement robust data pipelines and ML workflows using Python, SQL, Spark and Databricks. Develop and deploy machine learning models, including NLP, deep learning and agentic AI, into production environments. Integrate data from diverse sources through both streaming and batch ingestion … will gain from working here: Competitive salary 25 days annual leave Private medical Career progression Extensive Training If youre passionate about data, machine learning and emerging AI technologies and want to work on challenging projects where your skills can make a genuine impact, wed love to hear from you. ...

Description We are recruiting a Data Scientist with applied machine learning experience to join our Claims Analytics team. This is an excellent opportunity to join a dedicated analytics team working on Claims and Fraud with multiple areas across the business. At AXA we work smart, empowering our people … Image Processing techniques. Contribute to the development of GenAI use cases and applications for claims. Build data pipelines using data science and machine learning techniques to solve business problems. Maintain and improve existing data science pipelines. Derive insights from analysis of large internal or external data sets and recommend ...

team productivityContribute to the entire stack, from low-level optimizations to high-level model designQualifications:Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep learning frameworks (PyTorch preferred)Familiarity with large-scale machine learning, particularly in the context of language modelsAbility to balance research goals with practical engineering constraintsStrong problem-solving skills and a results-oriented mindsetExcellent communication skills and ability to work in a collaborative environmentCare about the societal impacts of your ...

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high‐fidelity, multi‐physics simulation through … please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced ...

core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.We … enable us to move to production fast, often shipping to beta in weeks after a successful offline test.We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test ...

building a next‐generation inventory prediction & replenishment optimization platform to support JD’s global fulfilment services. We are looking for a Machine Learning Engineer who is passionate about turning machine learning and research into real, large‐scale business impact. As a Machine Learning Engineer focusing on demand … global inventory flow decisions. Your work directly influences forecast accuracy, stock availability, fulfilment cost, and customer experience. Responsibilities Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfilment optimization. Develop innovative algorithmic solutions to complex forecasting and supply chain problems in close collaboration with product, engineering ...

Lead AI Engineer you will architect AI solutions, embed them within enterprise environments and drive impactful outcomes through advanced engineering, scalable pipelines and deep cross-functional collaboration. This is a highly technical role where you'll be leading client projects, productionising systems and running multi-modal LLMs, using your … advanced stakeholder communication, problem-solving and project management skills in Agile environmentsExperience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniquesApply now to find out more about this Lead AI Engineer (Python ...

supporting all of Liberty Global’ s AI-related efforts from a security standpoint and ensuring the technical security and integrity of AI and machine learning systems within the organization. You will be responsible for developing, designing, implementing, and maintaining robust security standards, measures and controls … relevant stakeholdersESSENTIAL SKILLS & ABILITIES:Proven experience in Security Architecture or similar team(s), with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, best practices and standards, algorithms, models, frameworks, regulations and controls.Extensive experience in technical security controls, security principles, AI/ML pipelines ...

engineering and product delivery. You will be responsible for designing, implementing and maintaining our multi-omics platform architecture, building and validating data and machine learning pipelines. This role requires a blend of analytical thinking, architectural engineering capability, and the ability to communicate complex findings to both technical and executive … processing large-scale, high-dimensional datasets, ensuring efficient data loading and manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical ...

team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI.What you'll be doing:Leading project teams that deliver bespoke algorithms … quantitative academic field.You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch).You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across ...

team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What you’ll be doing: Leading project teams that deliver bespoke … quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

advanced stakeholder communication, problem-solving and project management skills in Agile environmentsExperience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniquesApply now to find out more about this Backend Software Engineer/Developer ...

team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing: Leading project teams that deliver bespoke … quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field 1 year of experience developing agentic AI in production ready environments 3 years of relevant hands‐on experience with … machine learning algorithms The ability to write clean and maintainable code in Python, Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ...

SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research and develop post-training methods for Enchant - our multimodal transformer model trained … role centers on designing and evaluating post-training approaches for large multimodal language models including supervised fine-tuning, parameter-efficient fine-tuning, reinforcement learning, preference or reward-based optimization, and other emerging post-training methods. You will develop rigorous evaluations and training infrastructure that make it possible to rapidly ...

processes related to KYC (Know Your Customer) checks performed on consumers and businesses during onboarding. Within the team, our data scientists implement machine learning models and systems that support Document verification.We are looking for someone to own training, iteration, and management of our machine learning models’ life cycle … Actively participate in planning and ideation of data science projects in collaboration with integrated cross-functional teamsUncover opportunities and provide expertise on applying machine learning/data science techniques Clearly articulate the value, limitations, and potential impact of data science initiatives to stakeholders with diverse levels of understandingManage ...

ambiguous environments. Desirable Experience It would be advantageous if you also have experience with: LLM fine-tuning Agentic AI systems Microservice architecture Go Deep learning/traditional machine learning AI coding and agentic development tools such as Claude Code, Codex or similar What This Role ...

DoYou will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions … number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem.In this role, you willCreate and deliver production-ready, scalable and high-quality machine learning models ...