101 to 125 of 354 Deep Learning Jobs in the UK

support of deterministic simulation, and post-training and adapting state-of-the-art open-source base models Requirements Strong research track record in machine learning, deep learning, or foundation models: evidenced by research publications, open-source contributions, or other evidence of original technical work Deep understanding … modern model architectures, training dynamics, inference optimization, scaling, and evaluation: transformer, diffusion, and exotic model architectures, sequence modeling, multimodal learning, and generative modeling Hands-on experience training, fine-tuning, or post-training large models: in particular preference optimization, synthetic data, distillation, continual learning, or alignment Strong coding ...

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 role will be responsible for designing, developing, and implementing AI solutions to solve complex problems and enhance … 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 Proficiency in programming languages such as Python, R, or C-Sharp. Experience with AI frameworks ...

models and tools to the shared ORFeome platform and to HuggingFace (or similar), and produce the project's scientific report. Methods and platforms : machine learning and deep learning for genomics (sequence-embedding and foundation-model architectures), ribosome profiling (Ribo-seq) data analysis, integration of mass-spectrometry proteomics … long as you do not already hold a doctorate. Project-specific profile A relevant degree in bioinformatics, computational biology, computer science, data science, machine learning, or a related quantitative or life-science field with strong computational skills. Strong programming skills (for example Python) and hands-on experience with machine ...

require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production‐grade ML and AI systems. This role goes beyond … traditional ML engineering. You will apply machine learning science as a core field - developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly ...

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 ...

Czech Republic, Italy, Greece, and Portugal. About this Role We are seeking an experienced AI Models Lead to serve as the scientific and deep technology anchor of the AI Tower. This role is responsible for developing, fine-tuning, training, validating and governing advanced AI and machine learning models … including Large Language Models (LLMs), Small Language Models (SLMs) and predictive models. The successful candidate will lead high-value experimentation and pilot delivery, providing deep technical leadership across model engineering, data science, vendor strategy and AI innovation while working closely with product and platform teams to enable scalable solutions. ...

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 ...

science team. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in strengthening machine learning and analytics as a distinctive capability. The team is recognised as a centre of excellence in our Global Data Science Department – providing new data … experience we’re looking for: A track record of solving complex non-routine problems with expertise in some of the following areas: Statistics, Machine Learning, Deep Learning & AI. Excellent communication and stakeholder management skills - able to communicate complex ideas in an understandable way often to non-specialists. ...

data generation company discovering the next generation of proximity therapeutics by making protein interactions programmable. Our platform brings together foundation-model machine learning, a scalable data generation engine, and a partnership track record exceeding $5B in collaborations across the world's leading biopharma and tech organizations. We've recently … happen. Come join us! What you'll do Profile and optimize training and inference for structural and generative models, including transformers, diffusion, and geometric deep learning Write and tune custom kernels (CUDA, Triton) and use compilers (torch.compile, TensorRT, XLA) when beneficial Scale distributed training across 32-64 nodes ...

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 ...

Zohorecruit in the United Kingdom is seeking a Machine Learning Researcher to advance voice, speech and noise cancellation technologies. Join the audio technology research team to push the frontiers of deep learning for audio and real-time processing. In this hybrid role, you will conduct deep learning research on audio signals, evaluate AI models, implement and train systems, and document results with reports and papers. #J-18808-Ljbffr ...

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 ...

WareBee, learning systems are not a bolt-on — they are how the digital twin turns raw warehouse data into decisions managers can act on. As an AI/ML Engineer you will own the full lifecycle: framing the problem with the team, shaping the data, training and evaluating models … living, spatial model of the warehouse floor, its racks, aisles, and movement — and Process AI, which learns how work actually flows through it. The learning systems you build sit at the seam between the two. What you will do Work with the product team to frame what a learning ...

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 ...

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 ...

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 ...

looking for a Senior Research Scientist to join our AI Research team in London. You will work at the intersection of mathematics and machine learning, bringing rigorous quantitative thinking to some of the most challenging problems in biological AI.Our research group is small, collaborative, and operates more like … impact is tangible.You'll be reporting to the Head of AI Research and working alongside researchers covering genomics, sequence modeling, and large-scale deep learning, as well as biologists, bioinformaticians, and engineers across the wider company. About You PhD in mathematics, physics, or a closely related quantitative field. ...

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 ...

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 ...

Senior Lecturer/Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK Apr 25, 2022 Manchester Centre for AI Fundamentals has positions open at all levels: Senior Lecturer, Lecturer, Research Fellow, Postdoc, and PhD (funded). Now is the time to join the University of Manchester … research. The university is a key partner of the national Alan Turing Institute, hosting 33 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems (ELLIS), in the new ELLIS Unit Manchester. The ambition is to establish a leading AI centre at the intersection of these ...

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. ...

develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify … innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning ...

develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify … innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning ...

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 ...