101 to 125 of 331 Deep Learning Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Containerise software, build provisioning and update tooling for device fleets, and develop hardware-in-the-loop test benches integrated into CI/CD Optimise deep learning models for embedded hardware and port them to new computing platforms and accelerators Integrate with flight controllers and autopilots, support field trials … version control, CI/CD and hardware-in-the-loop testing Willingness to travel to test sites Nice to Have Experience deploying and optimising deep learning models on edge hardware Experience with microcontroller firmware, real‐time operating systems or drone autopilots Linux experience Competitive compensation, equity options ...

quantitative trading firm in London. The role sits within a specialist infrastructure team supporting trading systems and a large GPU compute environment used for deep learning and research. The network is a core part of the firm's research and trading capability. It needs to be fast, reliable … doing Supporting and improving mission-critical network infrastructure Working on high-bandwidth networking for GPU and compute clusters Helping design scalable networks for deep learning and research workloads Troubleshooting network issues across Linux-based systems Building automation around deployment, monitoring and operational tasks Working with systems, research ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us. About The Team … optimize AI agents for various applications, including customer service, supply chain optimization, recommendation systems, and internal operations. Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques. Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow. ...

Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract … basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives ...

applicable. Last date of application: 30th June 2024 Start Date: 1st August 2024 Key Responsibilities AI Model Development: Design, develop, and train machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. Fine-tune and optimize models for performance and scalability. Software Development: Write clean, maintainable, and efficient … abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing (NLP) and computer vision techniques. Knowledge of reinforcement learning and deep learning architectures. Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines. Experience in agile development ...

creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey’s global scientific AI team … delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey’s scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. ...

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 … promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.Research Engineering (Machine Learning), London We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent levels. Your impact This ...

identify real‐time text features that predict future market behaviour. Qualifications Expert knowledge of Natural Language Processing or a related area of machine learning, via academic or industry experience (or both). Familiarity with recent advances in NLP and generative AI, including adapting LLMs to domain‐specific tasks such … Domain Adaptive Pre‐Training, Instruction Fine‐Tuning, quantisation and Low‐Rank Adaptation. Experience applying machine learning and deep learning methods to NLP tasks such as Text Embeddings, Sentiment Analysis, Named Entity Recognition, Knowledge Graphs, Multilingual Text and Topic Extraction. Demonstrated research excellence and a strong understanding ...

time.**Key Responsibilities**:* Design, develop, and deploy AI/ML and Generative AI solutions using Python.* Build, train, evaluate, and fine-tune machine learning and large language models (LLMs) using frameworks such as PyTorch, TensorFlow, and Keras.* Develop Retrieval-Augmented Generation (RAG) applications using LangChain, Hugging Face, and LlamaIndex. … Agile/Scrum ceremonies, code reviews, documentation, and quality assurance activities.* Stay updated with emerging trends and advancements in Generative AI, LLMs, and machine learning technologies, and share best practices within the team.**Required Skills*** Strong proficiency in Python programming for AI/ML application development* Hands-on experience ...