76 to 100 of 331 Deep Learning Jobs in London

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas into real … benefits. A salary of £60,000 is available for a recent PhD graduate, with higher salaries for candidates with relevant experience. Requirements for Machine Learning Researcher: PhD in Machine Learning or a related discipline A strong academic record Experience using PyTorch LLM-focused experience through research, academic projects ...

team. Experience of applying knowledge of cloud computing, including architecting and deploying solutions, and selecting appropriate tools and design patterns. Exposure to advanced machine learning techniques (e.g. reinforcement learning, deep learning). Experience owning the day-to-day resource allocation of a large team of technical … clients and partners within the public sector for successful technical delivery and to build strong long-term relationships Knowledge of data science and machine learning concepts and principles. Expertise in Python and SQL, both for development and to review code. Strong working knowledge of database systems (e.g., SQL, NoSQL ...

life You will shape the future of advanced technology in AMZL. A typical day includes visiting Delivery Stations to identify opportunities, conducting technical deep‐dives with providers, running simulations to model task feasibility, and presenting pilot business cases to leadership. You will define proof‐of‐concept requirements, design validation … previous internship, work experience, coding competitions, or publications and experience troubleshooting and debugging technical systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Amazon is an equal opportunities employer. We believe ...

Title Senior AI Engineer - Machine Learning (Computer Vision) Location North London - hybrid Salary £650 per day outside IR35 Length 6 months About the Business Our client is a leading digital commerce organisation undergoing a significant technology transformation. This is an exciting opportunity to join a business at the forefront … adoption, helping to build scalable solutions that enhance customer experiences, improve operational efficiency, and drive future growth. The Senior AI Engineer - Machine Learning (Computer Vision) Opportunity Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative AI technologies. Build ...

TITLE Senior AI Engineer – Machine Learning (Computer Vision) LOCATION North London – hybrid SALARY £650 per day outside IR35 LENGTH 6 months ABOUT THE BUSINESS Our client is a leading digital commerce organisation undergoing a significant technology transformation. This is an exciting opportunity to join a business at the forefront … adoption, helping to build scalable solutions that enhance customer experiences, improve operational efficiency, and drive future growth. THE SENIOR AI ENGINEER – MACHINE LEARNING (COMPUTER VISION) OPPORTUNITY Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative AI technologies. Build ...

Studios and deliver images and videos to millions of ASOS customers. This role focuses on designing reliable, responsible and high‐performing AI systems, using Deep learning embedding techniques for multimodal signal processing, and generative AI technologies such as large language models (LLMs). You’ll work closely with … Studios, Machine Learning Engineers and Product teams to shape the next generation of AI-powered automation for ASOS Studios. By applying computer vision to product imagery and external visual inspiration, you’ll uncover rich styling signals and combine them with customer insights to create smarter image generation, more engaging ...

Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning, deep learning, natural language processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems in production environments. … Jira and Confluence.· Exceptional leadership and communication skills, with the ability to convey complex technical concepts to diverse audiences.· Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous.· Professional accounting qualification preferred, however not a requirement. Why Audit at KPMG Audit is the largest ...

Application Development & Integration Full-stack software engineering expertise across Java, Python, .NET, JavaScript/TypeScript, Node.js, React, Angular, and modern web technologies. Deep experience in API development, Microservices, Event-Driven Architectures, Enterprise Integration, and Distributed Systems design. Cloud, Platform Engineering & Infrastructure Expertise in Azure, AWS, and GCP with strong … Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace ...

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through … pick up new tools and languages quickly - is an advantage. This Role In this role, you'll work alongside our Data Scientists, Machine Learning Engineers, and (with support) our customers to help define and solve engineering challenges. You'll contribute to delivering high-fidelity simulations by: Building models from ...

role, you will work on AI projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from … encourage you to apply for this exciting opportunity at Pigment. Experience building and shipping complex products on top of LLMsExperience with LLM or deep-learning–based tabular data understanding, including methods for interpreting complex spreadsheets, schema inference or table representation learning (e.g., TAPAS, TaBERT, TURL, and more ...

frameworks, and tools; Champion responsible AI practices, including bias detection, explainability, and safety alignment. Требования: 5+ Years of professional experience building and deploying machine learning or AI systems in production; Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX; Strong foundation … machine learning, deep learning architectures, and natural language processing, particularly large language models; Experience with cloud platforms such as AWS, GCP, or Azure and MLOps tools for managing the AI lifecycle; Ability to write clean, efficient, well-tested code for scalable software systems; Strong problem-solving skills ...

Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed … team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm.In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited ...

Expertise in designing, architecting, and implementing large-scale foundation models Significant hands‐on experience optimising and debugging deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building … will do: Lead the research, development, and production deployment of Hypercritical's foundation model. Define the long-term technical strategy for high-performance Machine Learning systems. Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth. Serve as the technical guardian ...

Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed … team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting‐edge AI and Machine Learning (ML) technologies at the firm. In this role, you will have the opportunity to contribute to various AI/ML domains, including ...

wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.We're looking for a Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!What you’ll do:Develop ML-products and AI Lenses that serve … them) to keep Snap’s products at the cutting edgeEvaluate open-source Gen AI models and APIsKnowledge, Skills & Abilities:A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quicklyKnowledge of mathematics and deep learning foundationsExcellent verbal ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … Data Scientist Manager at Kainos, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … Data Scientist Manager at our client, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership ...

leading electric vehicle manufacturer in Greater London seeks a Staff Software Engineer specializing in machine learning infrastructure. The ideal candidate will optimize deep learning performance on NVIDIA GPU systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience … have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...

adoption of new skills across different audiences and contribute to culture and social frameworks of UpSkill and client organisations. Adapt training materials to different learning environments and audiences, whether in-person or remote sessions. Stakeholder Engagement: Engage with a variety of stakeholders to understand their specific learning needs … such as AI, cloud technologies, or related fields, with a proven ability to engage participants, manage group dynamics, and adapt teaching methods to different learning styles Strong knowledge of AI technologies, including machine learning, deep learning, NLP, and computer vision. Experience with AI frameworks and tools. ...

hire that takes it to the next level and scales it into a team. You will own the entire model stack: building custom deep-learning models and training and fine-tuning our own large language models to outperform off-the-shelf commercial models on our mission, using … development. Evaluate emerging AI technologies and frameworks to continuously refine and enhance our LLM approaches. PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Extensive research experience in large language models, natural language processing, or related AI domains. Proven track record of publishing ...

failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with equivalent industry experience Hands-on experience with deep learning … what is required to move from research prototypes to reliable deployment Experience collaborating with researchers during the implementation process Proficiency in Python and deep learning frameworks such as PyTorch Strong software engineering fundamentals such as writing clean, testable, well-documented and maintainable code, version control, code reviews Working ...

failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with the equivalent industry experience Solid hands-on experience with deep learning and foundation model implementations such as transformers, pre-training, fine-tuning, ideally at scale Demonstrated experience delivering production-quality model artefacts, with a strong sense of what's required to move from research prototypes to reliable deployment Experience working in close partnership with researchers throughout the implementation ...

days onsite) | BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build … impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets. Deploy, monitor ...

entity recognition. Optimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data. Explore applications of NLP techniques and deep learning algorithms in games. Follow the latest developments in academia and industry and quickly apply findings in your work. Qualifications Familiar with … fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects. Proficient in at least one programming language, familiar with basic data structures and algorithms. Practical experience working with large language models (e.g., DeepSeel, Qwen, LLaMA), including model fine-tuning, instruction ...

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 ...