1 to 25 of 185 Deep Learning Jobs in London

Nama Site: London The Stanley Building Tanggal Posting: Aug 5 2025 At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It … is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we'd love to chat. We're looking for an AI/ML Engineer to help us make this vision a reality. Competitive candidates are outstanding engineers with a track record in developing … SOTA deep learning models for solving challenging real world scientific problems and production grade AI-powered software solutions. Our team focuses on the discovery of preclinical digital biomarkers that translate robustly to clinical outcomes. An important outcome of our work is that, while enabling deeper insights into the effects and mechanisms of action of treatments, importantly, it also More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a species. … the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn is the machine learning compute protocol that translates machine learning compute into an always-on commodity resourceoutside of centralised control and as ubiquitous as electricityaccelerating AI progress and ensuring that this revolutionary … MEDIOCRITY Give direct feedback to everyone immediately rather than avoiding unpopularity , expecting things to improve naturally, or trading short-term pain for extreme long-term pain. Embrace an extreme learning rate rather than assuming limits to your ability/knowledge. Responsibilities: Lower deep learning graphsfrom common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation for More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a species. … the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn is the machine learning compute protocol that translates machine learning compute into an always-on commodity resource-outside of centralised control and as ubiquitous as electricity-accelerating AI progress and ensuring that … MEDIOCRITY Give direct feedback to everyone immediately rather than avoiding unpopularity , expecting things to improve naturally, or trading short-term pain for extreme long-term pain. Embrace an extreme learning rate rather than assuming limits to your ability/knowledge. Responsibilities: Lower deep learning graphs-from common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation 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 ❯

AWS, including support for customers who require specialized security solutions for their cloud services. At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training, we are building customer-facing services to empower data scientists and software engineers in their deep learning … building our next-generation AI compute platform that's optimized for LLMs and distributed training.At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training, we are building customer-facing services to empower data scientists and software engineers in their deep learning … AI compute platform that's optimized for LLMs and distributed training. Key job responsibilities As an SDE, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this, you will collaborate closely with a team of ML scientists and customers to influence our overall More ❯

Join to apply for the Machine Learning Engineer role at Proximie 2 weeks ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Proximie Get AI-powered advice on this job and more exclusive features. Five billion people in the world do not have access to safe and affordable surgery, and … to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that … improve clinical outcomes, drive productivity and support Proximies continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. Youll harness the power of More ❯

Innovative Tech firm developing unique LLM applications are hiring a Deep Learning Scientist. The nature of your work will focus around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies, like natural language understanding/generation More ❯

and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each … 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 … Experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Proven track record in defining and developing end-to-end Machine Learning, Deep learning and Generative AI solutions, from conception to deployment - Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable More ❯

t wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights … of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. … reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and More ❯

t wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights … of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data More ❯

Join to apply for the Machine Learning Engineer role at Graphcore Join to apply for the Machine Learning Engineer role at Graphcore Get AI-powered advice on this job and more exclusive features. As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI … If you're excited about advancing the next generation of AI models on cutting-edge hardware, wed love to hear from you! Responsibilities And Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code … Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential Skills Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other More ❯

helping define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product … helping define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product … quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate big problems into technically feasible AI solutions. Data & Infrastructure Oversee the creation and maintenance of scalable data pipelines (ETL/ELT) and 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 ❯

friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. Were looking for a Machine Learning Engineer to join the Generative ML Platform team at Snap Inc! What youll do: Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis … 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 … experience 3+ years of research or 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 More ❯

the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning … integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. BASIC QUALIFICATIONS - 6+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural … deep learning methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and More ❯

AI content. We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You'll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines. … We are looking for a Senior Machine Learning Engineer to join our team and help build state-of-the-art generative systems for video and audio synthesis, performance transfer, and visual translation. This role is hands-on and technical, requiring experience in training and deploying deep learning models, a solid engineering mindset, and the ability to work … in production environments. Must Haves 5+ years of experience in software engineering and machine learning. Proven track record of deploying ML systems in production. A strong understanding of Machine Learning fundamentals. Strong experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with training diffusion, transformer, or generative video models. Proficiency in Python. Experience building and More ❯

play, and learn. No matter where you are or how you express yourself, it's always the fastest way to share a moment! We're looking for a Machine Learning Engineer 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 … experience 1+ years of research or 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 More ❯

the outdoors and a desire to protect it for future generations. Responsibilities As a member of our Autonomy organization, you will guide the strategy, architecture, and deployment of machine learning models for our vehicle's perception. These models support autonomous driving features and in-vehicle experiences by enabling environmental understanding. Your work will directly impact the core functionalities of … object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment Team Leadership & Mentorship: Build, mentor, and lead a high-performing team of machine learning engineers, fostering a culture of innovation, technical excellence, and continuous improvement Cross-Functional Collaboration & Integration: Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML … infrastructure) to deliver seamlessly integrated and high-performing autonomous features Qualifications MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field Experience (typically 8+ years post-graduation) in machine learning, computer vision, or robotics, with significant work in perception for autonomous systems Experience (typically 3+ years) in a technical leadership or management role 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 and Career Growth We're continuously … Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning/Gen AI solutions - Strong understanding and experience in the … field of AI and related technologies, including deep learning and overall machine learning concepts. Deep experience developing AI models in real-world environments. - Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. - Solid grounding in statistics, probability theory, data modelling, machine learning algorithms 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 ❯

We have built one of the world's largest and fastest-growing metagenomic datasets, sourced from our global expeditions and partnerships. Using this extensive resource, our team runs petascale deep learning and bioinformatics pipelines across cloud and HPC infrastructure to uncover novel enzymes, explore new biology, and solve complex biotechnology challenges for our partners. We have a strong … of the most renowned tech companies and organisations, including NVIDIA, The Broad Institute (Harvard), Microsoft and AWS. We're an inclusive, flexible workplace, where biologists, engineers, data and machine learning scientists, and field explorers are united by a sense of adventure and a belief that nature has already designed the solutions to our planet's greatest challenges, we just … largest and most diverse metagenomic dataset known to the industry. You will be instrumental in building and scaling our infrastructure to leverage our data asset for next generation therapeutics, deep learning models, and some of the industries toughest biotechnology challenges. About you Own and operate our on-premise and cloud environments, in particular our Kubernetes clusters (security, monitoring More ❯

Senior Machine Learning Engineer Senior Machine Learning Engineer Innovation team working on Autonomous Vehicle Control Salary: £550 - £700 per day - 1 year minimum project The Senior Machine Learning Engineer will join a Government backed innovation project around Autonomous Vehicle Control. You will join a team of 10 people working in London, whilst also collaborating closely with a … European based team. A suitable candidate will likely have 2-3 years experience experience working in AI & deep learning API's, with a focus on robotics/automation. It is not essential to have experience in Autonomous Vehicle Control. Experience of computer vision systems/Advanced visual perception. Neural Networks Signal & Image Processing Algorithmic knowledge of supervised/… unsupervised machine learning systems and deep learning API/principles Python/C++. OpenCV, Ubuntu/Debian This is an urgent requirement to join a passionate innovation team working on next generation autonomous vehicle control. The project is minimum 1 year in length with a clear goal to reach, which if achieved will offer the Machine Learning More ❯

level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for a Senior Applied Researcher to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use cutting-edge computer vision and … deep learning at scale to shape the future of sports, from professional teams to local high schools. As a Senior Applied Researcher, your key responsibilities will include: Delivering for customers at scale . You'll build, deploy, monitor and iterate on ML models and systems that scale across 40+ sports and to thousands of simultaneous sports matches. Project … for the number of days you come to the office. Must-Haves Technical expertise . You have extensive experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. System experience . You've built, maintained and monitored complex AI/ML models More ❯

to be a part of the AI revolution! About DeepPCB: DeepPCB is InstaDeep's AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route workflows, accelerating hardware innovation globally. We are looking for a Machine Learning Engineer … to join the DeepPCB team and help push the boundaries of AI for electronic design automation (EDA). You will develop, optimize, and deploy cutting-edge machine learning and reinforcement learning models focused on automating complex PCB design problems, working closely with researchers and engineers to bring ideas to life. Responsibilities: Develop scalable and efficient machine learning … technical depth based on the audience. Participate in technical discussions, design reviews, and customer-facing activities when required. Requirements: B.Sc ., M.Sc ., or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field. 5 years of professional experience in applied machine learning or engineering roles. Strong expertise in Machine Learning and Deep More ❯

successful $190 million funding round, we're on a mission to transform the used car market. About the role: We're looking for an experienced and driven Lead Machine Learning Engineer to lead our Machine Vision team. This role focuses on taking full responsibility for developing, deploying, and maintaining high-quality, performant computer vision models, including classification, object detection … and buying experience for all our customers - including both sellers and dealers. In this role, you'll lead the computer vision side, manage and mentor at least one Machine Learning Engineer (MLE), and collaborate closely with machine learning engineers, backend engineers, and product managers to develop scalable, high-performing ML solutions that elevate the customer journey. You'll … staying updated with the rapidly evolving AI landscape, identifying and adopting new techniques, tools, and methodologies as appropriate. Requirements: Excellent programming ability in Python and good experience with machine learning libraries such as PyTorch (preferred), TensorFlow, OpenCV etc. Experience in deploying, maintaining, and optimising deep learning pipelines, focusing on efficiency, performance, and production maturity. Strong understanding of More ❯