226 to 250 of 313 Deep Learning Jobs in London

datasets to extract insights and features that can be used by downstream AI models. Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. Stay abreast of the latest trends in AI research and integrate them into our products … and services. Communicate technical challenges and solutions to non-technical stakeholders and team members. MINIMUM QUALIFICATIONS/SKILLS Experience in machine learning, with a strong knowledge of algorithms and principles. Proven track record of building and deploying machine learning models into production. Hands-on experience with both structured … and unstructured data. Experience with deep learning models for either computer vision or natural language processing. Proficiency with the Python programming language. Knowledge of Git and collaboration principles. Strong communication and presentation skills. WE OFFER Development - annual development budget to upskill yourself. Benefits - Health insurance, life assurance, income More ❯

That's why we started Encord. We are a talented and ambitious team of 70, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies … information from our data development platform. Building sophisticated RAG systems on other types of data than the usual text documents. Following the latest machine learning research to identify and apply new methods that improve our processes or the user experience. Ensuring our customers have the world's most powerful … AI-powered data development platform. Skills for the job: A PhD or similarly strong academic background in machine learning, with 2+ years of hands-on experience in LLM fine-tuning, RAG systems, and prompt engineering. Proficiency with frameworks like PyTorch, Tensorflow, JAX, Pandas, and OpenCV. A solid understanding of More ❯

This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and … customers. The Role As a Junior Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high … a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams. Data Quality Optimization - Ensure the highest standards of data quality by designing and refining More ❯

Applied Scientist to join the EU Selection Discovery team. As an Applied Scientist, you will invent, build and deploy state of the art machine-learning models and systems to enable and enhance the team's mission-real world incarnations of some of the most difficult academic problems. An Applied … Scientist in the team drives innovation through data-driven insights building advanced data pipelines and applying machine learning techniques such as computer vision, LLM and foundation models. An Applied Scientist also owns a science agenda for highly-impactful projects in the team, that require to design, implement and deliver … and engineering teams at Amazon, publish scientific papers and apply for patents for your inventions. Key job responsibilities - Work on research projects in machine learning and related fields to create highly innovative customer experiences; - Analyze large amounts of data to discover patterns, find opportunities, and develop highly innovative, scalable More ❯

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. Candidates … able to thrive in fast paced environments. Being ok with ambiguity and strong communications skills are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions … technical decision-making Translate business requirements into technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working More ❯

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. Candidates … able to thrive in fast paced environments. Being ok with ambiguity and strong communications skills are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions … technical decision-making Translate business requirements into technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working More ❯

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. Candidates … able to thrive in fast paced environments. Being ok with ambiguity and strong communications skills are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions … technical decision-making Translate business requirements into technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working More ❯

AI that actually feels personal ? We’re on a mission to redefine how businesses interact with their customers, using cutting-edge AI and machine learning to create deeply personalised, intelligent experiences . We’re looking for an AI Engineer to join us on this journey—someone who thrives in … customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud More ❯

AI that actually feels personal ? We’re on a mission to redefine how businesses interact with their customers, using cutting-edge AI and machine learning to create deeply personalised, intelligent experiences . We’re looking for an AI Engineer to join us on this journey—someone who thrives in … customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud More ❯

AI that actually feels personal ? We’re on a mission to redefine how businesses interact with their customers, using cutting-edge AI and machine learning to create deeply personalised, intelligent experiences . We’re looking for an AI Engineer to join us on this journey—someone who thrives in … customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud More ❯

environment. A background leading Data Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming languages including Python, Java, C/C++, R. More ❯

ensuring efficient resource utilization Excellent communication skills and a collaborative mindset, with experience working in multi-disciplinary, agile teams Preferable to have: Experience in deep learning frameworks Experience working with agentic AI frameworks Experience building user-facing front-end applications Knowledge and implementation of Model Context Protocol Why More ❯

This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and … our customers. The Role As a Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high … a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams. Data Quality Optimization - Ensure the highest standards of data quality by designing and refining More ❯

to production deployment and performance monitoring. Setting high standards while creating space to learn and grow through trial and iteration. You'll bring a deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether that's deep learning … for a role where your leadership can directly influence cutting-edge AI solutions, and you like the sound of failing fast, fixing faster, and learning even faster, we'd love to hear from you. This is your chance to join a mission-driven team using data science to shape More ❯

scalability and efficiency. LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron … design patterns, reliability, and scaling) of new and existing systems experience. Experience programming with at least one software programming language. Hands-on experience with deep learning and/or machine learning methods (e.g., for training, fine-tuning, and inference). Hands-on experience with generative AI technology. More ❯

model performance and infrastructure through experimentation and optimisation. What We're Looking For Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in More ❯

model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in More ❯

model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in More ❯

PRINCIPAL MACHINE LEARNING INFRASTRUCTURE (ML PLATFORM AND OPERATIONS) - ENGINEERS: Bullisher is a data-centric fintech solution provider in the aerospace and defense industry for institutional-level investors, looking to disrupt and revolutionize a $3 trillion industry. We spearhead an industry-leading Blackbox to facilitate and administer trade agreements, delivering … a newly created role for a team of four, the oversight team requires a PLATFORM DESIGNED TO HANDLE COMPLEX WORKLOADS. This involves a machine learning development system, a specialized infrastructure needed to deliver complex AI/ML workloads focused on training deep learning models to improve distributed … and execution. WHAT ARE WE LOOKING FOR: Extensive experience in ML development in PYTORCH , Kubernetes, and TensorFlow. A proven record in AI and machine learning, focusing on end-to-end solution integration with existing infrastructure. A leading developer focused on transparent model reporting with the utilization of AI infrastructure More ❯

DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As an Applied Scientist with … of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. We believe More ❯

Amazon Development Centre (London) Limited The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As … of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunities employer. We believe More ❯

suited to capital markets while advancing the state-of-the-art. We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research. This is a new and evolving role, ideal for a data or software engineer who wants to work at the … evolves. Nice to Have Experience working with ML models and their deployment. Familiarity with ML infrastructure, feature stores, and MLOps best practices. Exposure to deep learning frameworks (PyTorch, TensorFlow). Experience with building internal tools, dashboards, or lightweight front-end components (e.g., Streamlit, Dash, or BI tools like More ❯

customer analytics team as a senior data scientist. You will be building analytics models using a range of data science approaches, such as machine learning and statistical techniques, along with wider analytical approaches such as time series and analytics with unstructured data (e.g., NLP). They recently used gradient … boosting machine learning to predict radio listening behaviour for a client, taking into account advertising spend. The Successful Candidate Is Likely To Have: Commercial skills: Ability to talk confidently to clients, discussing and advising on business objectives. Proven track record of how results can best be deployed within businesses. … to work autonomously when required, demonstrating the ability to prioritise and organise. Technical skills: Excellent working knowledge of advanced analytical techniques, including regression, segmentation, deep learning, natural language processing, text analytics, and time-series modelling. Experience of a wide variety of technologies including R or Python, SQL. Understanding More ❯

Visual Generation Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are … shopping assistance to personal teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Visual Foundation Models: Unlocking Human Engagement and New … be more performant and fine-tuned to specific use cases. You ideally have technical experience or intuition to work with generative models, have a deep understanding of the current state of the art across different types of GANs, Diffusion Models, NeRFs, and other Visual Foundation Models, and are excited More ❯

data, share highlights and more. Ready to join us? Your Role We're looking for a ML Engineer II 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. Deliver for customers at scale. You'll contribute to ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches. More ❯