151 to 175 of 499 Permanent Deep Learning Jobs

deeply technical, hands-on role - you will spendthe majority ofyour time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns,evaluatingand benchmarking … will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead ...

deeply technical, hands-on role you will spendthe majority ofyour time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns,evaluatingand benchmarking … will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead ...

strategic decision-making? Join Novo Nordisk as a Data Science Specialist and help drive critical early R&D decisions by applying advanced analytics, machine learning, causal inference and AI to some of the most important questions in drug discovery and development. Your new role As a Data Science Specialist … data science projects that support preclinical and early development decision-making. Developing and implementing analytical and agenticAI approaches across causal inference, statistical modelling, machine learning, deep learning and multimodal data analysis. Translating biological, clinical and portfolio questions into executable analysis plans and actionable evidence. Driving scientific quality ...

express and backtest new predictive signals.Building world-class research tooling to speed up Algo Developers’ research iteration.Aiding the development and deployment of very large deep learning models for HRT’s live trading.Improving HRT’s monetization systems which turn our predictions into profitable trades.Evaluating sim vs. live differences … complex issues across distributed systems in a time-sensitive environment.Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across ...

Jump Trading Group in Greater London seeks a research scientist to apply deep learning to state-of-the-art problems across quantitative research and monetization. You will lead open-ended projects from concept to production, collaborating with ML, statistics, and engineering teams. The role requires 5+ years ...

passion for insights and personalisation. The Opportunity: The role will work with our product, engineering and customer success teams. It requires direct expertise with deep learning statistical models that power AI, such as Transformers, and is focused on providing the quality of predictive and prescriptive insight that … Behavioural AI model research and development Key Responsibilities: Design and build core behavioural models as tooling for our behavioural AI product, using bleeding edge deep learning techniques Developing client prototypes of new behavioural insight to prove value and then push upstream into our core capabilities where appropriate Ideate ...

integration into other systems while providing feedback to continue to evolve the AI platform. The ideal candidate will have a strong background in machine learning, data analysis, and software development.The rolewillbe responsible fordesigning, developing, and implementing AI solutions to solve complex problems and enhance our products andservicesresulting in improved … scalable architecture and alignment with best practices, whilst assessing the viability and business value for the firm. What you will have Experience in machine learning, deep learning, and AI model development Proficiencyin programming languages such as Python, R, or C-Sharp. Experience with AI frameworks and libraries ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. … relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days ...

quantitative finance, by bringing scientific clarity to financial complexity.From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams … looking for The ideal candidate will have the following skills and experience:Expert knowledge of Natural Language Processing or a related area of machine learning, through academic or industry experience (or both)Familiarity with the many recent, exciting advances in NLP and generative AI, in particular adapting LLMs ...

backtest new predictive signals. Building world-class research tooling to speed up Algo Developers’ research iteration. Aiding the development and deployment of very large deep learning models for HRT’s live trading. Improving HRT’s monetization systems which turn our predictions into profitable trades. Evaluating sim vs. live … issues across distributed systems in a time-sensitive environment. Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies. Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms ...

Leaning Engineer £735 per day – Inside IR35 London/2 days a week on site 2 years Key Responsibilities Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable …/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential ...

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive …/Computer Engineering, Physics, Mathematics, other Engineering fields A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales ...

passion for insights and personalisation. The Opportunity: The role will work with our product, engineering and customer success teams. It requires direct expertise with deep learning statistical models that power AI, such as Transformers, and is focused on providing the quality of predictive and prescriptive insight that … Behavioural AI model research and development Key Responsibilities: Design and build core behavioural models as tooling for our behavioural AI product, using bleeding edge deep learning techniques Developing client prototypes of new behavioural insight to prove value and then push upstream into our core capabilities where appropriate Ideate ...

black-box methodologies, focusing on interpretability, steering, and behavioural studies of transformer-based LLMs.Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch.Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery.Documenting and communicating experimental findings through high-quality academic … scope.Translating complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes.Who we're looking for:Solid background in machine learning fundamentals and transformer architectures (specifically LLMs).A practical understanding of white-box and black-box interpretability techniques, such as steering vectors or mechanistic interpretability.Demonstrated ...

methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality … complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs). A practical understanding of white-box and black-box interpretability techniques, such as steering vectors or mechanistic ...

Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. … production settings. Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications. What You Bring Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants). Strong understanding ...

developing and integrating software or firmware in the following areas: Drivers Boot logic Board bring‐up/testing Control/state machines/interfaces Deep learning inference Cameras and ISPs Wireless Mesh & IoT comms Battery power monitoring GPS/GNSS positioning You will also: Support our development teams … embedded systems to prototype new products or features Work on testing of software and devices, e.g. range testing radios, measuring solar charging efficiency or deep learning model accuracy in real‐world tests Requirements Essential skills/experience BSc or MSc degree in Electronic Engineering, Computer Science, Computer Engineering ...

term research initiatives. As a Research Scientist, you will work on cutting-edge AI problems, pushing the boundaries of what is possible in machine learning and artificial intelligence to solve complex, real-world challenges. Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. … degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence.. Prepare examples for: Machine Learning, Deep Learning, Artificial Intelligence, Research & Development, Strategic Planning. Job Overview Research Scientist, Strategic Bets, DeepMind Job Type Full-time Category Research Experience ...

Capital One is seeking a Lead Data Scientist/Deep Learning Practitioner to drive the next generation of underwriting models. The role focuses on leveraging non-traditional data and advanced neural networks to enhance predictive power and deliver customer insights. Based in our Nottingham office with a hybrid ...

industry still runs on spreadsheets, PDFs and weeks of manual survey work. SOLR AI is the intelligence layer replacing it: computer vision and machine learning over aerial imagery, geospatial, property, grid and weather data and more, turning a UK address into a bankable-grade renewable energy assessment in minutes … define, build, talk to users, ship. There is no layer between your work and the outcome. Extreme ownership, high slope. We hire for agency, learning rate and humility over pedigree. You own the outcome, including what you get wrong. Research-led product development, product-led growth. Every research ...

must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong ...

forefront of AI innovation,trusted by Microsoft,AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner with … ROLE & RESPONSIBILITIES IN THE BUSINESS : As a LeadData Scientistat our client, you will architect,design,and deliver advanced AI solutionsleveragingstate-of-the-artmachine learning,generativeand agenticAI technologies. You will drive the adoption of modern AI frameworks,AIOps best practicesand scalable cloud-native architectures. Your role will involve hands ...

Senior Engineering Manager - Machine Learning United Kingdom We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join … play, watch, and connect every day. About the role We’re looking for a hands‐on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Super Technologies. By combining cutting‐edge applied machine learning, foundational ...

research and work with our commercial teams to deliver great products that people love. Our Data Science team are responsible for the fashion machine-learning architectures at Lyst. This includes researching, modelling and deploying performant production-worthy systems. Their services are the most called microservices across Lyst, allowing … search 40 million images in < 100ms via the deep learning models we've built. You will be helping us to expand our search and recommendations offerings by guiding the engineering teams whilst working with stakeholders on the commercial and marketing arms to ensure we build products that ...

implement changes of model architecture that will enable better performance characteristics without sacrificing model capabilities. What We're Looking For 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. 1+ years experience working on performance of neural network … inference (analyzing bottlenecks, writing custom kernels, quantizing models, fighting deep learning compilers). Excellent understanding of GPU architecture and why some models run faster than others. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate ...