1 to 25 of 108 Deep Learning Jobs in the UK

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in … a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation … experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks More ❯

generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics … Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in … a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands More ❯

hardware. Candidate Profile Essential: Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics … skills to support the above: calculus, probability theory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities, machine learning for molecules and proteins (ideally with some background in chemistry and biological sciences) . Lower … level programming for hardware efficiency, e.g. C CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning - compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution. Experience submitting papers to international scientific conferences or 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, development … and 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 More ❯

History. Key job responsibilities Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms Fundamentally understand Amazon's underlying Neural Edge Engine to invent optimization techniques Analyze deep learning workloads and provide guidance to map them to Amazon's Neural Edge Engine Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non … centric solutions for our devices Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys. Basic Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 4+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural … deep learning methods and machine learning Prior experience in productionizing ML models and managing their full lifecycle from development to deployment Preferred Qualifications Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE), Diffusion Models for Language Generation, etc. Our inclusive culture empowers Amazonians to deliver the best results for More ❯

History. Key job responsibilities Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms Fundamentally understand Amazon's underlying Neural Edge Engine to invent optimization techniques Analyze deep learning workloads and provide guidance to map them to Amazon's Neural Edge Engine Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non … centric solutions for our devices Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys. Basic Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 4+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural … deep learning methods and machine learning Prior experience in productionizing ML models and managing their full lifecycle from development to deployment Preferred Qualifications Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE), Diffusion Models for Language Generation, etc. Our inclusive culture empowers Amazonians to deliver the best results for More ❯

family, and the world; Lens Studio () , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles () . We're looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc! What you'll do: Develop ML-tools and ML-products that serve millions of Snapchatters on a daily … art GenAI pipelines for image and video generation Work closely with other Snap teams to introduce, prototype and launch new products Knowledge, Skills & Abilities: A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations Ability to effectively collaborate with … statistics or equivalent years of experience Engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning Experience with the major deep learning frameworks: PyTorch or TensorFlow Strong programming skills in Python or C+Preferred Qualifications: Experience developing real-time software for mobile More ❯

Head of ML | Contract | £750pd | Outside IR35 | Hybrid, 2-days per week | London My client is on the lookout for a Head of Machine Learning to join the team on a contract basis. This client is a consultancy and have had an influx of AI/ML work, without having the headcount to oversee some of the projects. So … Scientists and oversee the delivery of work for their clients. The role has been determined outside IR35 and will run for a minimum of 6-months. Technical Skills Machine Learning & Deep Learning Supervised/unsupervised/reinforcement learning Model selection, training, validation, and evaluation Deep learning architectures (CNNs, RNNs, Transformers) Data Science Statistical analysis More ❯

seeking Applied Research Scientists with expertise in RNA modeling, RNA optimization, or RNA design to join our world-class, multi-disciplinary team. This role sits at the intersection of deep scientific research and practical product development, aimed at building cutting-edge biological AI models and deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage … their deep expertise in scientific principles, artificial intelligence, and computational biology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This position demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this … design, optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computational biology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by contributing to interpretability and performance More ❯

Research Team, working at the forefront of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3 1 , AlphaFold 2 , RFDiffusion 3 , ProteinMPNN 4 are revolutionising computational … Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber 9 , to conduct large-scale training and evaluation of generative … models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members to achieve research goals and contribute to a supportive, knowledge-sharing environment. Engage in More ❯

This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-making. Client Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for financial applications, with … a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborate with quantitative analysts … models with pricing methodologies and identify opportunities for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. More ❯

world. Role Data Analytics & AI - Data Science & AI - Manager EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. … anomalies that can inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration … The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Communication : The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning : The ability More ❯

our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … on-premise technologies from microsoft, ibm, oracle, hp, sap - Experience developing software code in one or more programming languages (java, python, etc.) - Relevant experience in building large scale machine learning or deep learning models and Generative AI model development - Eligibility for the UK Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 … such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

data to solve complex problems and drive business outcomes. Your key responsibilities Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills … our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field. Understand … help to articulate and quantify the value that data and AI can deliver. Skills and attributes for success To qualify for the role; Experience in building and deploying machine learning or deep learning models in real-world applications. A completed degree (bachelors, masters, or PhD). Excellent leadership and organisational skills, with a track record of developing More ❯

and build on continued success on a global scale. Your key responsibilities Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills … our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field. Skills … and attributes for success To qualify for the role; Experience: 3 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications. Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. Foundational Knowledge More ❯

a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning … Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's mission-to make money work for everyone. By delivering tailored recommendations, proactive insights, and intuitive experiences, we help customers make … build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop models that make every customer interaction more relevant and timely, ensuring they receive products and More ❯

a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning … Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's mission-to make money work for everyone. By delivering tailored recommendations, proactive insights, and intuitive experiences, we help customers make … build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop models that make every customer interaction more relevant and timely, ensuring they receive products and More ❯

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role: To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists … pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're … hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real More ❯

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role: To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists … pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're … hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real More ❯

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role: To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists … pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're … hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real More ❯

in Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Building AI agents, or … products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models. (Desirable) Hands-on experience with containerisation technologies such as Docker. (Desirable) NB: BPSS & eligible for SC level vetting To apply, please submit latest CV for review More ❯

in Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Building AI agents, or … products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models. (Desirable) Hands-on experience with containerisation technologies such as Docker. (Desirable) NB: BPSS & eligible for SC level vetting To apply, please submit latest CV for review More ❯

Have a humble attitude and an eagerness to help others with empathy Passion for building products that augment human capabilities and improves citizens lives. Experience with natural language processing, deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). An understanding of deploying … Experience: Building AI agents, or products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropics Model Context Protocol) Training traditional Machine Learning and Deep Learning models Experience delivering applications to production Hands-on experience with containerisation technologies such as Docker. Experience designing software services with respect to infrastructure, considering More ❯

in a cloud environment. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI. Nive to have: Building AI agents, or products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. … Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models Hands-on experience with containerisation technologies such as Docker. Experience designing software services with respect to infrastructure, considering dependencies like databases and message queues, cloud environments, and pre-existing services with which yours must collaborate. Proven ability to collaborate with "non-engineering" disciplines, such More ❯

once science fiction inventions from artificial intelligence to autonomous cars.Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! What you will be doing: Engage with our partners and customers to root cause functional and performance issues reported with NCCL Conduct performance characterization … Prior system administration experience, esp for large clusters. Experience debugging network configuration issues in large scale deployments Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow Deep understanding of technology and passionate about what you doNVIDIA is at the forefront of breakthroughs More ❯