151 to 175 of 275 Deep Learning Jobs in London

wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in … building scientific driven solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical … to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 4+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of programming languages such as C More ❯

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using More ❯

role offers a compelling mix of technical innovation, leadership, and people management. You will lead a team of scientists and engineers to build Machine Learning solutions to address business critical needs. You will work closely with customers, product and program managers, other engineering managers, and tech leads to understand … s work is highly visible to senior leadership and directly impacts multiple organization goals and beyond. 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 … application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment More ❯

Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets … our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning … in our team, you will lead the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. More ❯

Sr. Machine Learning Engineer, Amazon Music Search We are looking for a highly-skilled Senior Machine Learning Engineer to lead the development and implementation of advanced technologies to push the boundaries of efficient training and inference for Deep Learning and Generative Artificial Intelligence (GenAI) models. As … a machine learning engineer on the Amazon Music Search team, you will collaborate with scientists on developing and evaluating machine learning models (Search Relevancy & Ranking) using large datasets such as meta-data and search queries to improve the customer experience through better search results, or song sequencing. You … of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS Master's degree in machine learning or equivalent Experience launching machine learning solutions in production Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯

hire and develop applied scientists - growing the team to meet the evolving needs of our customers. 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 … application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment More ❯

and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed. As a Machine Learning Engineer, you will be working within our Personalization team, helping to shape and drive the development of numerous products and initiatives that allow our … images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront of machine learning, helping to bring Accessible Intelligence to our customers with great scope to make a key difference across both OptiX and Optimove's overall platforms. … We are looking for an experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company More ❯

The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS 3+ 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 Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS 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. PhD More ❯

be a key member of the LNIP Technology Team. Your primary responsibility will be to drive the strategic vision of Data Science and Machine Learning initiatives across the organization, ensuring alignment with organizational goals. You will lead development teams in research, design, and software development projects, providing direct input … events to inspire young females to consider and pursue careers in technology. Responsibilities: Lead the development and implementation of advanced data analytics and machine learning models to solve complex business problems. Collaborate with cross-functional teams to identify data-driven opportunities and provide actionable insights. Mentor and guide junior … data scientists, fostering a culture of continuous learning and improvement. Design and execute experiments to validate hypotheses and optimize model performance. Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations. Stay up-to-date with the latest industry trends and technologies to ensure the More ❯

be a key member of the LNIP Technology Team. Your primary responsibility will be to drive the strategic vision of Data Science and Machine Learning initiatives across the organization, ensuring alignment with organizational goals. You will lead development teams in research, design, and software development projects, providing direct input … events to inspire young females to consider and pursue careers in technology. Responsibilities: Lead the development and implementation of advanced data analytics and machine learning models to solve complex business problems. Collaborate with cross-functional teams to identify data-driven opportunities and provide actionable insights. Mentor and guide junior … data scientists, fostering a culture of continuous learning and improvement. Design and execute experiments to validate hypotheses and optimize model performance. Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations. Stay up-to-date with the latest industry trends and technologies to ensure the More ❯

execute on the future path for our products. Key Responsibilities: Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. Take ownership of end-to-end ML model development-from data … preprocessing and feature engineering to training, testing, and deployment. Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking … Requirements: A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering More ❯

home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data … builds and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Responsibilities Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well-written documentation that meets … and manage deliverables Qualifications Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling, and software architecture Solid understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep More ❯

characters through text, voice, and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. We’re looking for a Machine Learning Engineer with deep expertise to own, optimise, and scale our AI models, ensuring cutting-edge performance and user engagement. The Role We are … seeking a Machine Learning Engineer with a focus on back-end Python engineering visual asset generation to join our team. The ideal candidate will have hands-on experience in working with deep learning models for image and video generation, leveraging technologies such as SDXL, Flux, and WAN … 2.1. You should be familiar with popular machine learning frameworks like PyTorch, Diffusers, Transformers, and Docker. As a member of our team, you'll work closely with researchers, engineers, and creatives to develop and deploy solutions that generate high-quality visual content, as well as playing a key part More ❯

characters through text, voice, and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. We’re looking for a Machine Learning Engineer with deep expertise to own, optimise, and scale our AI models, ensuring cutting-edge performance and user engagement. The Role We are … seeking a Machine Learning Engineer with a focus on back-end Python engineering visual asset generation to join our team. The ideal candidate will have hands-on experience in working with deep learning models for image and video generation, leveraging technologies such as SDXL, Flux, and WAN … 2.1. You should be familiar with popular machine learning frameworks like PyTorch, Diffusers, Transformers, and Docker. As a member of our team, you'll work closely with researchers, engineers, and creatives to develop and deploy solutions that generate high-quality visual content, as well as playing a key part More ❯

of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments. Principal Solutions Architects work on the more complex customer challenges and opportunities. They … trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you'll craft highly-scalable, flexible, and resilient cloud architectures that address our customers' business problems. As part … the AWS Startup SA team. BASIC QUALIFICATIONS - Experience with building, validating and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development, validation, and More ❯

of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments. Principal Solutions Architects work on the more complex customer challenges and opportunities. They … online videos or conferences). BASIC QUALIFICATIONS Experience with building, validating and deploying GenAI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and … high-speed networking. Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker. 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. Amazon is an equal opportunities More ❯

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 AWS Industries Team helps AWS customers implement Generative AI … 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, publications … 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 ❯

options in Barcelona, Berlin, or London, designed to maximize team interaction. Remote work options are also considered. Basic Qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science, or related fields, or equivalent experience. Excellent written and verbal communication skills. Experience programming in Java, Python, C++, or … in a fast-paced applied research environment. Ability to handle ambiguity. Top-tier publications in relevant fields. Key Responsibilities Solve complex optimization and machine learning problems using scalable algorithms. Design and develop prototypes addressing real-world logistics challenges. Lead analyses to support decision-making and communicate results to leadership. … on optimizing Amazon's logistics through advanced mathematical algorithms and data-driven techniques. We work closely with academic experts, employ cutting-edge methods like deep learning and reinforcement learning, and prioritize correct modeling and production-ready prototypes. Our goal is to support strategic investments and solve real More ❯

and new science that millions of people will use? Are you excited about working on Large Language Models (LLM), Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL)? We are embarking on a multi-year journey to improve the shopping experience for customers globally. The More ❯

AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as Deep Learning, generative models, reinforcement learning, computer perception, natural language processing … Responsibilities Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines. Collaborate on research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). Work towards long-term ambitious research goals, while identifying intermediate milestones. … driven models of human behavior. Minimum Qualifications Currently has or is in the process of obtaining a PhD degree in the field of machine learning, AI, computer science, applied mathematics or related technical fields. Degree must be completed prior to joining Meta. Experience in theoretical and empirical research and More ❯

Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this More ❯

Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this More ❯

revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role … We are hiring a Machine Learning engineer. Take an existing open-source Pytorch model, fine-tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as needed. Design thoughtful experiments in evaluating … cases, and convert those ideas to working code. Requirements You should be a good software engineer who enjoys writing production-grade software. Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning). Keeping up with the latest in deep learning research More ❯

Job ID: AWS EMEA SARL (UK Branch) - F93 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 AWS Industries Team at AWS helps AWS customers … 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, publications … 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 ❯

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 … 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 … products and is at the forefront of the rail industry, presenting opportunities to launch new products, work to develop product market fit and go deep with techniques like geospatial and graph analyses. With a team of over a hundred technologists delivering daily data-driven product releases and platform updates More ❯