301 to 325 of 341 Deep Learning Jobs in London

believe in taking care of our team with benefits that support both your professional and personal growth. Competitive salary with equity options Annual learning & development budget Regular team retreats worldwide Latest hardware and software tools Current Openings We're always looking for talented individuals to join our growing team. … next-generation generative models for architectural design. You'll work directly with Dr. Min-Ji Park on advancing our AI capabilities. Strong background in deep learning and 3D geometry required. Senior Frontend Developer (React/TypeScript) Work with our UI/UX team to create intuitive interfaces ...

scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications … design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross‐functional teams to identify opportunities ...

Qureight Ltd seeks a Senior Machine Learning Scientist to research, develop and specialise state-of-the-art deep learning models for volumetric CT data, focusing on foundation-model pre-training, supervised model specialisation, segmentation, classification and biomarker extraction pipelines that support clinical-trial and real-world evidence … programmes. You will work within the Machine Learning function alongside ML Engineers, Data Scientists and Imaging Specialists to translate research ideas #J-18808-Ljbffr ...

such as insight solutions (inc. BI reporting suites), MarTech/data driven CX solutions or ML/AL solutions (inc, predictive, forecasting, classification and deep learning models). Project Management Excellence - Proven project management experience, including planning, execution, and successful delivery of Analytics and AI/ML POCs … communicate complex ideas clearly to senior client stakeholders. Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space. It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities ...

candidate focused on NLP research and development. The successful applicant will take responsibility for optimizing NLP algorithms and exploring new applications in gaming using deep learning techniques. Candidates should have a strong understanding of statistical models, familiarity with large language models, and experience with model deployment tools like ...

/NLP We consider candidates across experience levels and lean toward senior engineers who have worked directly with frontier AI systems. Python, deep learning frameworks, or distributed computing are non-negotiable for this role. What you get Founding-team equity and a real say in technical direction ...

than comparable genomic foundation models. We are looking for a Senior Bioinformatics Scientist to join our Genomics team in London, working closely with our deep-learning modelling, engineering, and translational teams. You will focus on defining what data our models require, what “good data” means and validating through ...

merged using product image features ( online recommendation model updates per day ( crowd-sourced labels generated per day40k product gender classifications per day via deep learning500k recommended products per day120 EC2, 8 RDS, 7 ElastiCache and 10 Redshift instancesour internal analytics system collects ~100M data points/day...and a team ...

merged using product image features ( online recommendation model updates per day ( crowd-sourced labels generated per day40k product gender classifications per day via deep learning500k recommended products per day120 EC2, 8 RDS, 7 ElastiCache and 10 Redshift instancesour internal analytics system collects ~100M data points/day...and a team ...

High sky is seeking an experienced AI specialist in Greater London to apply state-of-the-art deep learning (DL) solutions to specific tasks and improve existing algorithms. The role requires at least 6 years of experience and a strong background in machine learning and data analysis. ...

ownership of the infrastructure that powers the AI training. This is not a conventional infrastructure role. You will work at the intersection of machine learning, distributed systems, cloud computing and robotics, building the platforms that enable cutting edge research to become production-ready technology. You may need to build … modern AI, influencing the technical direction of the company from an early stage. Engineers may come with experience building high-performance infrastructure for machine learning or other compute-intensive workloads. You may have worked in AI infrastructure, platform engineering, high performance computing or a related field. Experience with distributed ...

Humanoid in London is hiring a Robotics Learning Engineer to join the Manipulation team. You will teach robots to manipulate their environment, combining applied deep learning with real hardware experience. Ideal candidates have 3+ years in robotics with shipped artifacts, and experience in post-training neural networks ...

Depop Limited - Nova is seeking a Senior Machine Learning Scientist for the Trust Detection team. You will own the design, development and evolution of ML systems that detect policy-violating content, fraud, and abuse across the platform. You will apply deep learning and large language models ...

Wayve is seeking a Senior Machine Learning Engineer to lead production-ready model releases for OEM engagements. This role blends hands-on deep learning with system-level optimization, ensuring models meet strict on-vehicle runtime constraints and performance targets. You will collaborate with inference and performance teams ...

stack. The role shapes platform evolution and enables researchers to push the boundaries of machine learning. You will work with Python, CUDA, Kubernetes, and deep learning frameworks like PyTorch, applying #J-18808-Ljbffr ...

these models meet engineering needs. The ideal candidate will have a PhD and experience in generative modeling, as well as a passion for applying deep learning in real-world scenarios. Additionally, the company offers a hybrid work environment and attractive benefits, including equity options #J-18808-Ljbffr ...

fits-all\" modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. About you If you’ve never thought about a career in finance ...

leading algorithmic trading company in the City of London seeks an experienced Machine Learning Engineer to develop models for alpha generation from high-frequency data. The ideal candidate will have a strong background in applied deep learning and Python programming, with opportunities to lead projects and enjoy ...

ASOS is seeking a Senior Machine Learning Engineer to join the Search & Recommendations team, building scalable ML systems that help millions of shoppers discover products. You will design, deploy and operate production ML models for ranking, search and personalization, collaborating with Applied Scientists, ML Engineers and Software Engineers … deliver measurable business impact. You'll tackle challenging problems across recommendation, ranking, personalization and deep learning, while shaping #J-18808-Ljbffr ...

accelerate discovery! About Turbine Turbine is building Virtual Assays—AI-powered predictive models that can run biological experiments in silico. We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive testing. Our team is small, focused, and composed of researchers … intersection of AI, biology, and product; you don't need to be a computational biologist, but you must be curious and capable of learning the domain Nice to Have Prior experience scaling AI teams or shipping AI products in regulated industries Exposure to or understanding of biological assays, phenotyping ...

Jane Street is seeking smart, curious people to join our ML team and push the boundaries of trading models. You will train deep learning models powering our trading strategies while leveraging a large GPU cluster and distributed training workflows. Our team collaborates across researchers, engineers, and traders ...

London. This role involves enhancing model efficiency, analyzing performance bottlenecks, and implementing optimizations for neural networks. The ideal candidate has significant experience in deep-learning systems, custom kernels, and GPU architecture, while contributing to innovative robot technology. Coming with competitive benefits including private healthcare and equity ownership, this ...

Jane Street is seeking smart and curious individuals to join its growing ML team to build deep learning models powering its trading strategies, supported by a massive GPU cluster. You will work on large models and nonstationary datasets in a high-performance, multi-agent environment. You'll apply ...

Expedia Group in London seeks a Senior Machine Learning Scientist to provide technical leadership for Search Marketing & Tech. You will own end-to-end ML solutions from problem framing to production, collaborating with engineering, product, and business stakeholders to deliver measurable impact. The role emphasizes building and deploying production … grade ML models (tree-based, deep learning, RL) with robust pipelines, observability, and experimentation strategies to optimize bidding and ranking #J-18808-Ljbffr ...

producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long‐term bets aimed at improving the efficiency and capability of future generations of models. … Relevant interests may include areas such as architecture design, long‐context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands‐on empirical approach. A good fit for this role will ...