101 to 125 of 186 Deep Learning Jobs in London

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design, engineering, and systems control. We help our customers fundamentally improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of … and road vehicles, or increasing the performance of wind turbines. The Role PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. The core of this platform is powered by several Machine Learning Python Libraries handling everything from data processing, to deep learning model training, and … complex optimisation algorithms. The Libraries team is responsible for designing, developing, and maintaining those Machine Learning Libraries. As a Software Engineer within the team, you will focus on the underlying engineering that makes our libraries fast, scalable, and a pleasure to use. You are a software craftsperson who champions best practices, ensuring that our entire development lifecycle-from code More ❯

brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We're a dedicated team of thoughtful … through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take … ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely More ❯

Job Description Depop is looking for a versatile Senior Machine Learning Scientist to join our Search & Ranking team in the UK. As part of the team, you will work alongside a Product Manager, Backend Engineers, and other ML Scientists, playing a key role in building innovative models to power Depop's search engine and ranking across the app. Responsibilities … Research, design, and deliver ML solutions to address problems within the search & discovery space, such as: Learning-to-rank models Vector search & embedding models etc. Understand requirements from various partners across the business, designing machine learning solutions to solve business problems, such as: How can we surface relevant results for this search? How can we show users personalized … right price for this user? Set up and conduct large-scale experiments to test hypotheses and drive product development. Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc.) Qualifications Skills and experience More ❯

Job Description Depop is looking for a versatile Senior Machine Learning Scientist to join our Recommendations team in the UK. As part of the team, you will work alongside a Product Manager, Backend Engineers, and other ML Scientists, playing a key role in building innovative models to power Depop's search engine and ranking across the app. Responsibilities: Research … design, and deliver ML solutions to address problems within the search & discovery space, including: Learning-to-rank models Vector search & embedding models etc. Understand requirements from various partners across the business, designing machine learning solutions to solve problems such as: How can we surface relevant results for this search? How can we show users personalized results in real … right price for this user? Set up and conduct large-scale experiments to test hypotheses and drive product development. Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc.) Qualifications: Significant experience (3+ More ❯

service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. … dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer … with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated More ❯

experience in wireless testing in BT, or Zigbee • You will spend efforts studying and designing the new methodologies and techniques to facilitate testing, including the state-of-art Machine Learning and Deep Learning methods. Basic qualifications • Experience in manual testing and automated testing • 6+ year of experience working as a Quality Assurance Engineer • Bachelor's degree in More ❯

you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance … monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a … Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and More ❯

you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance … monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of our advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a … CTEs and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and More ❯

fuel our employees' passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Team Overview Join Expedia Group s Supply Machine Learning (Supply AI) team, where we build intelligent systems that power our global supply partners-hotels, vacation rentals, and more. This role is a Tech Lead position within the Partner … edge ML solutions, with a strong emphasis on Generative AI (GenAI). You ll help shape the future of partner-facing experiences and drive innovation at scale. Senior Machine Learning Scientist (Tech Lead) - Generative AI & Partner Intelligence In this role, you will: Lead the design, development, and deployment of end-to-end ML solutions, with a focus on GenAI … create requirements, and drive experimentation Build and optimize production-grade ML pipelines using tools like Databricks, Spark, and cloud-native infrastructure Apply a wide range of ML techniques including deep learning, NLP, ranking, clustering, and forecasting Translate complex business needs into scalable ML solutions that directly impact partner engagement and platform intelligence Contribute to the technical strategy of More ❯

of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze … as group priorities. What's the job? Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use … and broader customer analytics) "brand" at Kingfisher for both internal and external audiences What you'll bring Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP) Excellent understanding of classical Machine Learning algorithms (e.g. Logistic More ❯

Senior Machine Learning Scientist (Viator) London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a … Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data More ❯

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs … a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NLP applications • You have proven experience in AI or … machine learning product implementation with APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical More ❯

members; deeper expertise and applied knowledge within relevant area. Apply link Copy link Bachelor's degree in Computer Science or equivalent practical experience. 6 years of experience building machine learning solutions and working with technical customers. Experience designing cloud enterprise solutions and supporting customer projects to completion. Experience coding in one or more general purpose languages (e.g., Python, Java … software design. Preferred qualifications: Experience designing applications powered by Large Language Models and leading their implementation. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and … Spark, Pig, Hive, MapReduce, Flume). Understanding of contact center technologies and platforms (e.g., Avaya, Genesys, Cisco, Mitel, Twilio, etc.). Understanding of the practical concerns in production machine learning systems. About the job The Google Cloud Consulting Professional Services team guides customers through their cloud journey to help businesses thrive. We help customers transform their business using Google More ❯

impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide … visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of-the-art models … in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide … visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of-the-art models … in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

Parallel (FSDP) and DeepSpeed, ensuring 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 SDK and developing custom kernels for … 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 … we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS • 5+ years of professional software development and machine learning experience • Proficiency in at least one programming language • Experience mentoring engineers, leading technical initiatives, or managing an engineering team • Hands-on experience with deep learning and machine More ❯

Senior Machine Learning Scientist (Viator) London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexploreeverything from simple tours to extreme adventures (and all the niche, interesting stuffin between)making memories that will last a lifetime … Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data More ❯

is opened in the EU Headquarters in Luxembourg (alternatively: Barcelona, Berlin or London), designed to maximize interaction with the team and stakeholders. Basic qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science or other field related to algorithms and data (or equivalent experience). Excellent written and verbal communication skills. Experience with some programming language (Java … working in a fast-paced applied research environment. Ability to handle ambiguity. Top tier publications pertinent to the field of study. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead complex time-bound, long-term … in leadership to invest in programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization More ❯

Data Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights … at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact - as the data scientist on the team you will be actively … Scientist, you will beresponsible for influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will: Develop deep understanding of our product experiences and opportunities for growth. Actively contribute to roadmap and goals for the product team. Drive regular cross functional team reviews to measure progress toward More ❯

to C-suite executives. Team Mentorship: Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth. Provide targeted technical support and learning opportunities for data scientists on your project teams. Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence. Technical … the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward. Who we're looking for You have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysis An excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch) Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus. More ❯

teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master’s with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently on complex mathematical problems. - Research-led mindset with a passion for optimisation. Desirable: - Experience with pricing in hospitality … with DS Manager 2nd Stage: Live technical screen share coding task (1 hour) 3rd Stage: Take-home task (up to 3 hours) 4th Stage: Presentation (30 mins) 5th Stage: Deep dive on ML and culture fit Final Stage: VP sign-off conversation How to Apply Send your CV to Mohammed Buhariwala at Harnham or reach out directly for more More ❯

teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master’s with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently on complex mathematical problems. - Research-led mindset with a passion for optimisation. Desirable: - Experience with pricing in hospitality … with DS Manager 2nd Stage: Live technical screen share coding task (1 hour) 3rd Stage: Take-home task (up to 3 hours) 4th Stage: Presentation (30 mins) 5th Stage: Deep dive on ML and culture fit Final Stage: VP sign-off conversation How to Apply Send your CV to Mohammed Buhariwala at Harnham or reach out directly for more More ❯

to Global 2000 companies in financial services, pharmaceuticals, and technology. AWS customers are looking for ways to transform their businesses and solve their own complex business challenges with machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with end-to-end AI/ML/GenAI platforms such as Bedrock, SageMaker. Are you … passionate about AI/ML/GenAI, Deep Learning, and scalable distributed systems? Are you passionate about developing impactful ML content and strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)? AWS is seeking a Sr. Specialist BD for AI/… where appropriate. The ideal candidate will possess a Technology and Business background. The candidate will have the technical depth and business experience to easily communicate the benefits of machine learning platforms and frameworks in the AWS cloud to IT architects, engineering teams, and C-Level executives. The ideal candidate will have a demonstrated ability to think strategically and long More ❯

next generation of Experians products with GenAI and ML. Learn quickly and be able to put new GenAI concepts into practice. Spend 10% of your work time on continuous learning and sharing expertise on generative-AI technologies. You Have experience in Python. Are a self-starter with strong troubleshooting skills. It would be fantastic if you also have: Have … with container orchestration tools such as Kubernetes, Docker Swarm, or cloud-based alternatives. Comfort working across the full development stack, especially for prototyping. Passion for applying GenAI and machine learning across diverse domains and throughout the full project lifecycle. Conceptual understanding of common ML approaches (e.g., LLMs, GBMs, deep learning) and typical software architectures. Detailed-oriented, pragmatic … and collaborative team player. Experience as a lead developer tackling complex problems at scale. Experience mentoring junior engineers. Familiarity with various machine learning frameworks and toolkits (e.g., scikit-learn, XGBoost, TensorFlow). Hands-on experience building GenAI solutions using patterns such as Retrieval-Augmented Generation (RAG) or fine-tuning Large Language Models (LLMs). Have experience with cloud computing More ❯

tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch … preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale … ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to More ❯