26 to 50 of 251 Deep Learning Jobs in London

Job Title: Machine Learning Engineer Location: London 1-2 days a week Salary: £90,000-£110,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the … intersection of deep learning, computer vision, and real-time 3D systems . This is a chance to push the boundaries of digital human performance, runtime tracking, and facial capture—projects that directly power high-end experiences. You’ll collaborate closely with a world-class VFX team, helping automate … building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D More ❯

Job Title: Machine Learning Engineer Location: London 1-2 days a week Salary: £90,000-£120,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the … intersection of deep learning, computer vision, and real-time 3D systems . This is a chance to push the boundaries of digital human performance, runtime tracking, and facial capture—projects that directly power high-end experiences. You’ll collaborate closely with a world-class VFX team, helping automate … building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D More ❯

innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machine learning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part of a dynamic … quality analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects … design, implement, and optimize algorithms for real-time video quality analysis and defect detection, using programming languages such as Java , C++ , or C# . Deep Learning & Computer Vision : Develop and refine deep learning models and computer vision techniques to assess and improve video content quality, ensuring More ❯

way to get away. About the team Our Data Science team comprises eight members, including four Senior Data Scientists, two Data Scientists, a Machine Learning Engineer and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and … Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python … Your skillset: We're seeking an exceptional technical leader who can drive innovation while maintaining production excellence. The following qualities are essential: Technical Excellence: Deep expertise in machine learning approaches with the ability to assess and implement cutting-edge algorithms Strategic Thinking: Ability to break down high-level More ❯

require specialized security solutions for their cloud services. Are you an inventive, curious, and driven Applied Scientist with a strong background in AI and Deep Learning? Join Amazon's AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision, Generative AI, and … industry. Key job responsibilities Lead research initiatives in Multimodal generative AI, pushing the boundaries of model efficiency, accuracy, and scalability. Design, implement, and evaluate deep learning models in a production environment. Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services. Publish in top-tier … 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 More ❯

require specialized security solutions for their cloud services. Are you an inventive, curious, and driven Applied Scientist with a strong background in AI and Deep Learning? Join Amazon's AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision, Generative AI, and … industry. Key job responsibilities Lead research initiatives in Multimodal generative AI, pushing the boundaries of model efficiency, accuracy, and scalability. Design, implement, and evaluate deep learning models in a production environment. Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services. Publish in top-tier … or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java More ❯

forefront of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3, AlphaFold, RFDiffusion, and ProteinMPNN are … to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber, to conduct large-scale training … and evaluation of generative models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members More ❯

in their day-to-day tasks. Responsibilities: Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both … A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands … developing ML models using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. An awareness and More ❯

Senior Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning … planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at scale Solid understanding of SQL Proficiency in unit testing … CI/CD, model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience More ❯

of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a … is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business … solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet - Research publications in computer vision More ❯

Machine Learning Engineer, AWS Generative AI Innovation Center DESCRIPTION The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers … leadership. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths for generative AI. Create and deliver reusable technical assets that help to … help define product direction. About the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases More ❯

Senior Delivery Consultant - GenAI/ML, AWS Job ID: AWS EMEA SARL (Italy Branch) Are you interested in working at the forefront of Machine Learning and AI? Do you want to apply Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML) has been … inferences). PREFERRED QUALIFICATIONS AWS Professional-level certification. Masters or PhD in computer science or related technical, mathematical, or scientific field. Strong knowledge of deep learning, machine learning, and statistics. Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2. … Hands-on experience with deep learning techniques (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Excellent communication skills, with the ability to explain complex mathematical concepts to non-experts. Amazon is an equal opportunities employer. We value diversity and make recruiting decisions based More ❯

Data Scientist, Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation … world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample … a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. - Relevant experience in building large scale machine learning or deep learning models. - Experience communicating across technical and non-technical audiences. - Experience in using Python and hands-on experience building models More ❯

a newly established Data Science & AI Centre of Excellence within our Digital Products team. We are looking for expertise in Python and Azure Machine Learning to develop data-driven solutions to address business challenges and create innovative digital products. The role is commercially focused and you will work alongside … hybrid working and the expectation is to be in office two days per week. How you'll make an impact Develop and implement machine learning models using Python and Azure Machine Learning. Migrate and operationalise models for flood, quake, climate, and hurricane predictions. Support the development of our Cyber … Technographic Insight Discovery Engine (TIDE). Utilise classical machine learning techniques to build explainable models. Contribute to our AI strategy and enhance internal data science capabilities. Collaborate with cross-functional teams to drive data-driven innovation. Write well-documented, tested, and readable code. Conduct data analysis, cleaning, and visualisation More ❯

data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS Strong experience in building large scale machine learning or deep learning models and in Generative AI model development. Experience in data and machine learning engineering and cloud native technologies. … . Experience with software development life cycle (sdlc) and agile/iterative methodologies. Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central More ❯

help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off … require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your … model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family More ❯

The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in a) Sponsored Products - the group will be responsible for growing Ads business through semantic matching of customer … the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally. … business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business More ❯

list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply advanced Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation … world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample … 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 More ❯

cutting-edge Taste AI technology analyzes vast amounts of data-over half a billion records spanning public figures, places, and cultural entities-to uncover deep insights into what people love. To brands connect with their ideal customers, Qloo sifts through the noise to reveal the signals that matter. And … a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're a proactive problem-solver with a passion for machine learning … The impact you'll have: As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and More ❯

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 … ibm, oracle, hp, sap - Experience developing software code in one or more programming languages (java, python, etc.) - Relevant experience in building large scale machine learning or deep learning models and Generative AI model development - Eligibility for the UK Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary aws … science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Amazon is an equal opportunities employer. We believe passionately that More ❯

leadership. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths for generative AI. Create and deliver reusable technical assets that help to … define product direction. About the Team The Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases … Experience coding in Python, R, Matlab, Java or other modern programming languages. Several years of relevant experience in developing and deploying large-scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD More ❯

data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions that utilize … customer data to generate value for the business. This role at other companies may be referred to as a Machine Learning Engineer or Data Scientist. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data … build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to work More ❯

Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features … and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience in building … machine learning models for business application - Experience in applied research - Experience programming in Java, C++, Python or related language - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience More ❯

Are you a curious and open-minded individual with an interest in leading teams conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientist Managers with a passion for leading teams and solving challenging machine learning problems in a data-rich, complex … academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation … and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool use, etc. More ❯

helping advertisers effectively reach their target audiences. BASIC QUALIFICATIONS - Master's degree - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research - Experience with large … scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. - PhD More ❯