76 to 100 of 716 Deep Learning Jobs in London

meet you. Role Overview We're looking for a skilled and curious AI Engineer to join our growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life … complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications … ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the More ❯

cutting-edge technology solutions. Each day, you will engage in end-to-end software development, from design to deployment, in a fast-paced, cloud-native environment that values continuous learning and innovation. Your contributions will help keep our Employee Compute services at the forefront of the industry. Job responsibilities Develop and deploy machine learning models and generative AI … skills in python and knowledge of software engineering best practices Strong knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark) Strong knowledge of the main deep-learning frameworks such as PyTorch, TensorFlow, Keras Experience with Linux and shell scripting and experience with LaTeX Solid understanding of traditional data science techniques and experience with data … capabilities, and skills Experience with cloud-native development and deployment- Knowledge of AWS cloud services is a plus. Familiarity with project lifecycle and version control practices. Experience with machine learning algorithms on graphs. Strong ability to collaborate in a diverse, global team environment. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of More ❯

required. Recent work experience in a healthcare/life science organization is considered an asset. Other skills we are searching for are: Programming Skills: Proficiency in Python, data analytics, deep learning (Scikit-learn, Pandas, PyTorch, Jupyter, pipelines), and practical knowledge of data tools like Databricks, Ray, Vector Databases, Kubernetes, and workflow scheduling tools such as Apache Airflow, Dagster … premises and on cloud platforms, and experience in building end-to-end scalable ML infrastructure with on-premise DGX or cloud platforms including AWS EKS/SageMaker, Azure Machine Learning/AKS, or common ML platforms (ClearML, MLflow, Weights and Biases). Cloud & Automation: Strong understanding of AWS, Azure, containerization/Kubernetes, multiple automation/DevOps, and ML lifecycle … tuning, pretraining, continued pretraining, inference, RAG, and building multi-agent workflows using Llamaindex, Langchain, LangGraph, vector databases, etc.). Production-Grade Models: Significant expertise in building production-grade machine learning models in industry and/or academic research settings, building, training, and deploying ML. About the Department The position is connected to our DDIT-R&ED UK department located More ❯

brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Job Description NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites applications for a role focused on applying sophisticated machine learning methods to complex tasks such as natural … language processing, speech analytics, time series, reinforcement learning, and recommendation systems. The ideal candidate will excel in a highly collaborative environment, working with business teams, technologists, and control partners to deploy solutions into production. A strong passion for machine learning, along with dedication to continuous learning, research, and experimentation, is essential. Hands-on expertise in Deep Learning, analytical thinking, motivation, and a desire to innovate are also required. Job Responsibilities Research and explore new machine learning methods through independent study, industry conferences, experimentation, and knowledge sharing. Develop state-of-the-art machine learning models for real-world problems in NLP, speech recognition, analytics, time-series prediction, or recommendation systems. Collaborate with teams More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence JPMorgan Chase & Co. London, United Kingdom NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence JPMorgan Chase & Co. London, United Kingdom Apply now Posted 3 months ago … Permanent Competitive NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Job Description NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language … processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations More ❯

Join to apply for the Machine Learning Engineer role at Proximie 2 weeks ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Proximie Get AI-powered advice on this job and more exclusive features. Five billion people in the world do not have access to safe and affordable surgery, and … to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that … improve clinical outcomes, drive productivity and support Proximie’s continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You’ll harness the More ❯

rapidly share them across teams and leadership - 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 for generative AI - Create and deliver reusable technical assets that help to accelerate the adoption of generative … Product and Engineering teams 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 based on business value. - Integrate … 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 More ❯

Software Development Engineer - Machine Learning Job ID: 2898783 | Amazon Europe Core Sarl - D40 Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? At Amazon, we hire the best minds in technology to … or Master’s Degree in Computer Science, Computer Engineering, or related fields at time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such as linear programming and nonlinear optimisation • Ability … Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an More ❯

the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands … development and technical confidence. Required Skills & Experience: Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or … lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Desirables: Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is More ❯

advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make … we have various start dates throughout the year. Responsibilities Perform research to advance the science and technology of intelligent machines. Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Analyze and improve efficiency, scalability, and stability of various deployed systems. Collaborate with researchers and cross-functional partners including … in the country of employment at the time of hire and maintain ongoing work authorization during employment. Experience with Python, C++, C, Java or other related languages. Experience with deep learning frameworks such as Pytorch or Tensorflow. Experience building systems based on machine learning, deep learning methods, or natural language processing. Preferred Qualifications Intent to More ❯

that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. As a member of the AI Lab in Autodesk Research you will … be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning , computer vision, reinforcement learning, information retrieval, and natural language processing. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS , ICML , ICLR , SIGGRAPH, and other top-tier conferences. We collaborate with top academic & industry … or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Publication track record in machine learning conferences and/or journals Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience) Good More ❯

advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make … we have various start dates throughout the year. Responsibilities Perform research to advance the science and technology of intelligent machines. Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Analyze and improve efficiency, scalability, and stability of various deployed systems. Collaborate with researchers and cross-functional partners including … in the country of employment at the time of hire and maintain ongoing work authorization during employment. Experience with Python, C++, C, Java or other related languages. Experience with deep learning frameworks such as Pytorch or Tensorflow. Experience building systems based on machine learning, deep learning methods, or natural language processing. Preferred Qualifications Intent to More ❯

that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. As a member of the AI Lab in Autodesk Research you will … be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning , computer vision, reinforcement learning, information retrieval, and natural language processing. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS , ICML , ICLR , SIGGRAPH, and other top-tier conferences. We collaborate with top academic & industry … or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Publication track record in machine learning conferences and/or journals Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience) Good More ❯

algorithms to address real-world challenges. 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 to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to … building models for business applications. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and/or machine learning. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. … in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Practical experience in solving complex problems in an applied environment. Hands-on experience building models with deep learning frameworks like PyTorch, TensorFlow, or JAX. Prior experience in training and fine-tuning of Large Language Models (LLMs). Knowledge of AWS platform and tools. Amazon is More ❯

teams that manage the life 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 second life; we develop highly … or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research and implement novel machine learning and statistical approaches. Mentor interns. Work closely with data & software engineering teams … in production systems at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from More ❯

to Amazon websites worldwide. The Search Relevance team focuses on several technical areas for improving search quality. In this role, you will leverage your strong background in Computer Science, Deep Learning and Generative AI to help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated … QUALIFICATIONS - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience building machine learning models or developing algorithms for business application - Experience with popular deep learning frameworks such as MxNet and Tensor Flow PREFERRED QUALIFICATIONS - Experience in state-of-the-art … deep learning models architecture design and deep learning training and optimization and model pruning - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate More ❯

ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and … business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of … senior client leadership and teams Contribute data science expertise to new sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data More ❯

You will also work closely with specialists in translational science, drug discovery, and pre-clinical modelling. In this role, you will be responsible for designing and implementing novel machine learning and deep learning methods applied to somatic genomics. This includes identifying research problems that could be addressed through structured or unstructured, complex omics and imaging data and … developing appropriate models and analytical solutions. Responsibilities: Develop and implement novel machine learning and deep learning methods to address key challenges in somatic genomics, ranging from imaging data analysis to variant interpretation. Extract research and business value from complex, unstructured somatic genomics data and metadata. Optimize large-scale data preparation, enhance analytics platforms, and industrialize validated analytical … discovery and development teams to integrate genomic and histology imaging analysis. Communicate findings effectively to both technical and non-technical audiences. Key Qualifications: PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioinformatics, or a related quantitative field. Strong programming skills with a solid understanding of algorithms and data structures. Proficiency in Python with hands-on experience using open More ❯

that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the … Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian … Sets, Specifications, or Shop Drawings) Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) LLMs and Natural Language Processing Multi-modal deep learning and/or information retrieval Publication track record in machine learning conferences and/or journals Significant post-graduate research experience, or 5 or greater years More ❯

ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements • Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap • Build scalable solutions in partnership with Applied Scientists by developing technical intuition to … ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of … processes. BASIC QUALIFICATIONS - • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but More ❯

Grade Level (for internal use): 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers … to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P … to internal stakeholders, advice and guide on model and data suitability. What We're Looking For: 3+ years of professional experience in Advanced Analytics/Data Science/Machine Learning/Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in Python to write robust, reusable code; experience More ❯

ambiguous, fast-paced environments and working independently with ML models. Key Job Responsibilities Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements. Dive deep to drive product pilots, demonstrating innovative thinking and customer obsession to steer the product roadmap. Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write … ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of … BASIC QUALIFICATIONS Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics). 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining, and statistical algorithms. Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but More ❯

re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare to international development and beyond. This is an opportunity to take … initiatives that genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a … Balanced : Competitive salary, hybrid working options, and a culture that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and More ❯

re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare to international development and beyond. This is an opportunity to take … initiatives that genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a … Balanced : Competitive salary, hybrid working options, and a culture that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and More ❯

be the best in the industry for our users. As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges, translating them … into supervised and/or unsupervised learning problems. Who We Are Sporty Group is a consumer internet and technology business with an unrivaled sports media, gaming, social, and fintech platform which serves millions of daily active users across the globe via technology and operations hubs in more than 10 countries and 3 continents. Our success stems from discovering intelligent … are seeking more talented individuals to further drive growth and innovation. Responsibilities Create data science solutions to address various business challenges, translating them into supervised and/or unsupervised learning problems using statistical and machine learning models. Participate in monitoring and evaluating the performance of existing models. Develop advanced quantitative models such as LTV models, churn models, and More ❯