451 to 475 of 1,944 Machine Learning Jobs in London

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 AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best … new data sources and discover techniques for best leveraging data Minimum Qualifications A 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 More ❯

Marketing Science team, where you'll work on a broad spectrum of problems ranging from marketing measurement to algorithmic optimization. Our solutions combine advanced ML, causal inference, and Bayesian modeling to drive marketing effectiveness at scale. The Challenge: While you'll initially focus on building YouTube as Amazon's next … products and offers Measuring marketing effectiveness across external channels (YouTube, TikTok, Google) Developing causal inference approaches to measure the impact of marketing actions Creating ML models for real-time bidding and campaign optimization Designing experimentation frameworks to understand marketing performance drivers Building GenAI systems to improve company productivity (our team … Prime & Marketing analytics and science) team, supporting the EU Prime and Marketing organization's science needs. Our team works on a diverse portfolio of ML and science problems, currently including: Marketing measurement and optimization systems Customer behavior modeling Recommender systems for engagement Real-time bidding algorithms Causal inference frameworks Cross More ❯

ways. We're looking for a Data Engineer to join a squad passionate about delivering pioneering search experiences powered by Machine Learning (ML) and Large Language Models (LLMs). In this role, you'll help craft the team's data strategy and build the systems that power smarter … more intuitive discovery on Spotify. You'll work alongside a dedicated mix of ML and Backend Engineers to tackle some of Spotify's most exciting challenges in retrieval, ranking, and personalization. If you're excited by data systems, ML-powered products, and the opportunity to impact how millions of people … the role for you. What You'll Do Design, build, and maintain scalable, reliable data pipelines that support advanced search capabilities. Partner closely with ML and Backend Engineers to enable features like organic search retrieval and personalized recommendations. Continuously assess and improve the health of the team's data stack More ❯

market accounts to enterprise-level customers including public sector. AWS Asia Pacific & Japan (APJ) Professional Services (ProServe) is seeking a Senior Consultant, AI/ML for its Technology & Industry team. This role will focus on helping customers build or migrate their data-driven business workloads on AWS. From ideation through … in Singapore but have an APJ wide remit in the Professional Services team. Successful candidates will be experienced and motivated business-oriented AI/ML practitioners. They must possess a unique balance of business knowledge and technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. … Their focus will be on providing pre-sales support with customer executives followed by hands-on delivery for AI/ML workloads. Successful candidates will have executive level experience in leading, defining, designing and deploying enterprise level strategic solutions leveraging Data, Artificial Intelligence, and Machine Learning. Domain expertise should More ❯

Senior Machine Learning Operations Specialist Posting Date: 18 Apr 2025 Function: Brand and Marketing Unit: Consumer Location: One Braham (4140), London, United Kingdom Salary: Competitive with great benefits London, Birmingham or Bristol 3 days in the office/2 days wherever About EE We're EE. We are More ❯

training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for … of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and ability to work … fast-paced environment. Preferred Qualifications Experience with Databricks and Databricks Unity Catalog. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for More ❯

training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for … of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and ability to work … fast-paced environment. Preferred Qualifications Experience with Databricks and Databricks Unity Catalog. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for More ❯

Senior Machine Learning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures … for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally … least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing More ❯

s challenges! It would be great if you also had experience in some of these, but if not we'll help you with them: Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Don't know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill in a More ❯

will, you also know how to explain things clearly and concisely. You can educate and inspire. You've got a background in data science, machine learning algorithms, and data engineering along with their technologies. You're equally comfortable presenting to clients, providing advice, or building prototypes. You're … science libraries, implements existing data science techniques, or implements novel techniques. Designing, evaluating, and implementing on-premise, cloud-based, and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks, and proposing and implementing their mitigations). More ❯

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … s challenges! It would be great if you also had experience in some of these, but if not we'll help you with them: Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS More ❯

related issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Requirements : A degree in Computer Science, Machine Learning, or a related … field, or equivalent industry experience 3+ years of experience working with deep learning and statistical models Strong … knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch) Experience with cloud services such as AWS, GCP, or Azure Excellent verbal and written communication skills, with the ability to More ❯

front-end development with a focus on building data-driven applications. Experience working with ETL platforms Experience with Python and its numerical, data and machine learning libraries Experience of working in an agile software development environment Experience estimating task effort and identifying dependencies Excellent communication skills Experience with … Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire More ❯

in customer experience (if available). Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital … social, loyalty etc. Hands-on experience in using programming languages such as Python. Knowledge of cloud platforms and tools for data science and machine learning. Utilize visualization tools such as Power BI or Tableau to present data insights effectively. Collaborate with cross-functional … teams to understand business challenges and create valuable products/solutions. Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. People management skills, including mentoring, guiding, and developing team members. It Would Be a Bonus If You Have Experience More ❯

the development of machine learning solutions for the EU Consumer Electronics business. In this role, you will push the boundaries of advanced ML techniques and collaborate closely with product and engineering teams to create innovative buying and forecasting solutions for the business. These new models will primarily benefit … techniques. Partner with cross-functional teams, including product managers and engineers, to identify impactful opportunities and deliver science-driven solutions. Develop and optimize scalable ML solutions, ensuring seamless production integration and measurable impact on business metrics. Continuously enhance model performance through retraining, parameter tuning, and architecture improvements using Amazon's … extensive data resources. Lead initiatives, mentor junior scientists and engineers, and promote the adoption of ML methodologies across teams. Stay abreast of advancements in ML research, contribute to top-tier publications, and actively engage with the scientific community. BASIC QUALIFICATIONS - PhD, or Master's degree and 3+ years of CS More ❯

opportunity to work with large-scale visual and textual data sets to build impactful user-facing products and features utilizing the latest LLMs and ML models. You will also be responsible for the productionization and deployment building data pipelines or ETLs to create new online and offline data products. Join … us in leveraging machine learning across Yelp to create visual, textual, and multi-modal models to offer new … products based on our unique content. If you are enthusiastic about learning, eager to take on new challenges, and passionate about creating new ML products, we want you on our team! This opportunity requires you to be located in the United Kingdom. We'd love to have you apply More ❯

The Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable … for our customers by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To … what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities As a Lead Data Specialist, ML Data Ops, you will be responsible for meeting operational and business goals overlooking about 30-40 associates, having expertise in one or more processes/ More ❯

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms, especially for CI/CD systems for AI Applications. As a Senior ML Platform Engineer … technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to: Architect, build, and diagnose multi-tenant AI platform systems Work closely with AI application teams to More ❯

sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges … defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data … expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. More ❯

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms, especially for CI/CD systems for AI Applications. As a Senior ML Platform Engineer … technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to: Architect, build, and diagnose multi-tenant AI platform systems Work closely with AI application teams to More ❯

Telling skills - excellent communication, with senior management exposure. Deep understanding of business drivers/processes and ability to relate segment priorities to associated technology. Learning agility and desire to learn new technology. Strong problem analysis, negotiating and influencing skills. Proven track record to get things done in a matrixed … covering Demand, Supply, R&D, and Commercial. Develop and deliver communication and education plans on analytics data engineering capabilities, standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning … by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

Head of AI Strategy. What Makes You a Qualified Candidate Non-negotiable qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing AI solutions and software applications. A proven ability to establish credibility with advanced AI … leaders. Strong programming skills in languages such as Python, Java, or C++. Experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. What You'll Bring Preferred qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with data visualization tools More ❯

is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning … up disparate data from enterprise systems. Key Job Responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question. Given a business problem, estimate solution feasibility and potential approaches based on available data. Understand what … to facilitate permissions and acquisition of required data. Quickly prototype solutions and build models to test feasibility of solution approach. Build statistical models/ML models, train and test them to drive towards the optimal level of model performance. Improve existing processes with development and implementation of state of the More ❯

manufacturing environments globally. As a member of the Machine Learning Acceleration team, you will develop and maintain critical test infrastructure for our ML acceleration hardware, ensuring quality and reliability across our manufacturing operations. You will work on developing at-scale software solutions to manage the manufacturing environments at … ability to debug complex systems. PREFERRED QUALIFICATIONS Experience with cloud services, preferably AWS. Knowledge of hardware testing methodologies and automated test equipment. Familiarity with machine learning concepts and frameworks. Experience working in a manufacturing or hardware development environment. Knowledge of networking protocols and concepts. Experience with data analysis More ❯

receiving huge amounts of data and working out how customers are going to behave. You enjoy problem solving, and will be building gravity or machine learning models, for a variety of clients across wide ranging sectors. You want to be original - you don't want to do the … ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/ More ❯