101 to 125 of 825 Deep Learning Jobs in London

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 ❯

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 ❯

searching for the best and brightest minds from across tech and finance to help us achieve our aim. We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should also be proficient in the … mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the research team to design, develop, implement, and train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines … to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute to the growth of the AI team by sharing knowledge, providing mentorship, and fostering a culture of innovation and collaboration. Qualifications Master or Ph.D. in Computer Science More ❯

venues of repute. Support on-call activities for critical issues. Basic Qualifications: Master's or PhD in computer science, statistics, or a related field. 2-7 years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience in Python, or another language … C++, Python, or related languages. Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Knowledge of standard speech and machine learning techniques. Preferred qualifications include experience using Unix/Linux and professional software development. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have More ❯

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 … premise technologies from Microsoft, 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. Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3). … such as statistics, mathematics, data 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 employing a diverse workforce is More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

status Employment history going back 3 continuous years Unspent criminal record check (Disclosure and Barring Service) Your Role We are looking for individuals with strong technical knowledge in machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills. You will design and build deployable solutions at scale, collaborate with clients to identify … their whole self to work, emphasizing equity and diversity as part of our daily culture. Your Skills and Experience Proficiency in AI techniques such as supervised and unsupervised machine learning, GenAI, deep learning, graph analytics, NLP, sentiment analysis, etc. Excellent communication skills to present complex work clearly to clients and manage stakeholder relationships. Experience winning work with More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

Data Scientists to define and 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 for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. … the product as you go. 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, and model training for real More ❯

Data Scientists to define and 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 for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. … the product as you go. 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, and model training for real More ❯

You’ll Be Doing Leadership and Coaching: Manage, nurture, and develop a team of AI Data Scientists. Innovation and Creativity: Explore new ideas, take calculated risks, and foster continuous learning and refinement. Commercial Acumen: Approach problem-solving with a business perspective, demonstrating agility and adaptability. Collaborative Spirit: Work effectively in team settings, energizing cross-functional collaborations using strong interpersonal … strong expertise in Python, including libraries such as TensorFlow, PyTorch, and Hugging Face Transformers, with a solid understanding of LLM architectures. You should be well-versed in various machine learning techniques, including supervised, unsupervised, and semi-supervised learning, as well as neural networks, support vector machines (SVM), tree-based methods, and deep learning algorithms. Knowledge of … and selecting appropriate models for specific tasks is highly desirable. You will also be responsible for data gathering, cleaning, preprocessing, feature engineering, and developing, training, evaluating, and optimizing machine learning models to achieve high performance. Application Details If this sounds like you, please get in touch! The closing date for applications is 29.05.2025 . Location Flexible/Home working More ❯

We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/ More ❯