501 to 525 of 1,910 Machine Learning Jobs in London

data science team of 30+ specialists. ✅ What You’ll Need: 5–7 years’ experience applying data science to business problems. Educated to at least degree level in Statistics, Mathematics, Machine Learning, Computer Science, Chemistry, Physics, Economics or related field. Advanced skills Python and SQL (Pyspark a bonus). Experience with statistical modelling and machine learning workflows. … Collaborate on large-scale retail problems with real customer impact. Enjoy flexible working, your birthday off, and an inclusive, values-driven culture. Be part of a team where experimentation, learning, and agility are encouraged. Access cutting-edge tech and play a key role in shaping next-gen retail solutions. More ❯

in driving data-driven solutions for their clients across various industries. Why This Role: Work on exciting projects: Be part of shaping the future of business and technology. Continuous learning: Access to cutting-edge training and development opportunities. Flexible work: Enjoy a balanced work-life with flexible work arrangements. Make a difference: Contribute to projects with a positive social … business value through data-driven insights. Develop and implement advanced data science models and algorithms to extract actionable insights from complex datasets. Master and apply cutting-edge AI and machine learning techniques to solve complex business challenges. Collaborate effectively with cross-functional teams to create innovative data solutions and drive business growth. Mentor and develop junior data scientists … You'll Need: Proven expertise in data science with a focus on delivering business value. With a preference for experience in a consulting role. Strong foundation in statistical modelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving complex problems More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs of … team of 15 people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; natural language processing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in … our fast-paced multi-disciplinary environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g. natural language processing, information retrieval, machine learning or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept/Topic Extraction Document summarization Trend More ❯

or more of the following areas: Data Engineering (DE), Business Intelligence/Data Warehousing (BI/DWH) and/or Data Science/Machine Learning (DS/ML/AI) Programming experience in Python/PySpark or SQL Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to More ❯

or more of the following areas: Data Engineering (DE), Business Intelligence/Data Warehousing (BI/DWH) and/or Data Science/Machine Learning (DS/ML/AI) Programming experience in Python/PySpark or SQL Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to More ❯

computational resources, and to world-class engineers and developers that can help bring your ideas into the world. Key job responsibilities - Research and implement systems to improve resilience in machine learning applications About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never … t let it stop you from applying. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of More ❯

before – not least because the pace of technological change is disrupting organisations in new and challenging ways. Through advanced data analytics and emerging tech-enabled solutions like AI and machine learning, we're helping clients across diverse sectors to navigate that change. We enable them to avoid any unnecessary risks and to uncover new, transformative opportunities that could … Research Program Manager, Quantitative Operations EMEA London, England, United Kingdom 1 week ago Senior Manager - Capital Markets Operations London, England, United Kingdom 1 month ago Senior Manager, GenAI/ML GTM EMEA, AWS WWSO London, England, United Kingdom 2 weeks ago London, England, United Kingdom 10 hours ago SENIOR GLOBAL MANAGER, CREATIVE COMMUNICATIONS London, England, United Kingdom 1 week ago More ❯

chain. 🔍 Your Responsibilities: Analyse consumer and sales data: Work with large, complex datasets to uncover insights on shopper behaviour, purchasing trends, and retail performance. Support predictive modelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. … s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and … in It for You: Growth opportunities: Join a company that invests in your development and offers a clear progression path. Collaborative culture: Work in a team that values experimentation, learning, and creativity. Tech-forward environment: Access to modern data tools and cloud-based infrastructure. Competitive compensation: Including salary and performance-based bonuses. If you're a driven Junior Data More ❯

journeys. Start yours now! If you would like to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals … data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic learning initiatives of our organization while in parallel developing HR and data-centric skills … based on daily activities and interactions with the broader leadership and global teams. HR Learning & Competency Internship lasts for 1 year duration starting from Summer 2025 and will be based in our London HQ office. Responsibilities and Duties: Collaborate with cross-functional teams to understand business challenges and develop data-driven solutions. Assist in collecting, processing, and analysing large More ❯

journeys. Start yours now! If you would like to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals … data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic learning initiatives of our organization while in parallel developing HR and data-centric skills … based on daily activities and interactions with the broader leadership and global teams. HR Learning & Competency Internship lasts for 1 year duration starting from Summer 2025 and will be based in our London HQ office. Responsibilities and Duties: Collaborate with cross-functional teams to understand business challenges and develop data-driven solutions. Assist in collecting, processing, and analysing large More ❯

support the enterprise' data governance approach. The Data Architect will become a key role as new business models and opportunities arise from an increased use of technology such as Machine Learning and AI. The role holder will be expected to have a deep understanding of SaaS, PaaS, IaaS and Hybrid cloud technologies with a particularly deep understanding of … preferably in a Law firm or professional services firm. Experience in leveraging APIs for system-to-system data integration. Knowledge and experience of working with Azure-native AI and ML services, as part of enterprise data solutions and platforms. Proven experience in establishing, owning and managing an enterprise data model of various data domains including but not limited to HR More ❯

support the enterprise' data governance approach. The Data Architect will become a key role as new business models and opportunities arise from an increased use of technology such as Machine Learning and AI. The role holder will be expected to have a deep understanding of SaaS, PaaS, IaaS and Hybrid cloud technologies with a particularly deep understanding of … preferably in a Law firm or professional services firm. Experience in leveraging APIs for system-to-system data integration. Knowledge and experience of working with Azure-native AI and ML services, as part of enterprise data solutions and platforms. Proven experience in establishing, owning and managing an enterprise data model of various data domains including but not limited to HR More ❯

from Vallum Associates Machine Learning/MLOps Engineer – Leading Energy Company Location: Remote - London Type: Contract - 6 months rolling About the Role We're looking for an ML Ops Engineer to join a leading energy company as part of the Wholesale Markets team. This role focuses on building the infrastructure and tooling to help data scientists turn research … data and advanced analytics to forecast market movements, manage risk, optimize generation assets, and support energy procurement. You'll work closely with the Tech Lead and support the full ML lifecycle - from training to deployment - using AWS SageMaker and modern DevOps practices. This is an engineering-focused role, not a mathematical modeling one. What You’ll Do Build and maintain … ML pipelines using SageMaker for training and deployment. Work with data scientists to productionize models and manage deployments. Develop tools and workflows for CI/CD, monitoring, and model versioning. Ensure infrastructure is scalable, secure, and robust. Automate model lifecycle processes to support rapid iteration and reliability. What You’ll Need Strong experience in ML Ops with a focus on More ❯

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

Quantitative Research to leverage data and analytics to enhance the Sales business. Innovate and evolve core predictive models using diligent data analysis, traditional statistical reasoning, and advanced AI/ML techniques. Architect and manage the evolution of the code base, ensuring data quality and integrity, and collaborate with other teams to maximize scale and leverage across the organization. Present findings … graduate professional experience. Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.). Demonstrated experience applying AI/ML techniques, preferably in the financial industry. Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex, large-scale, high-dimensionality data from varying sources. Autonomy, excellent communication … and strong motivation. Preferred Qualifications, Capabilities, and Skills: 3+ years of experience working in a quantitative group applying AI/ML and data science to investment and/or trading businesses. Experience working with Equity products and investment strategies. #J-18808-Ljbffr More ❯

high data quality, compliance, and consistency. Develop Scalable Data Models: Collaborate with analysts and data scientists to design and maintain data models that enable more intuitive use for reporting, machine learning, and advanced analytics. Research and Adopt Emerging Data Technologies: Stay ahead of industry trends by researching emerging tools and frameworks. Recommend and lead the adoption of innovations … technical background, ideally with a degree in mathematics, physics, computer science, engineering, or a related field. Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models. Active participation in tech or open-source communities, with a passion for sharing knowledge and inspiring others. Strong communication skills, with the ability to translate complex … your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to More ❯

communicate and present complex ideas and concepts. Ability to approach problem-solving in a practical and innovative manner. Strong computer skills in MS Office suite (skills in programming and machine learning are highly beneficial) Demonstrable coding skills in e.g. Python, SQL, R Experience of Geospatial mapping software e.g. ArcGIS/Mapping Tools Data visualisation e.g. Tableau or PowerBI … Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more … communicate and present complex ideas and concepts. Ability to approach problem-solving in a practical and innovative manner. Strong computer skills in MS Office suite (skills in programming and machine learning are highly beneficial) Demonstrable coding skills in e.g. Python, SQL, R Experience of Geospatial mapping software e.g. ArcGIS/Mapping Tools Data visualisation e.g. Tableau or PowerBI More ❯

Quantitative Research to leverage data and analytics to enhance the Sales business. Innovate and evolve core predictive models using diligent data analysis, traditional statistical reasoning, and advanced AI/ML techniques. Architect and manage the evolution of the code base, ensuring data quality and integrity, and collaborate with other teams to maximize scale and leverage across the organization. Present findings … graduate professional experience. Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.). Demonstrated experience applying AI/ML techniques, preferably in the financial industry. Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex, large-scale, high-dimensionality data from varying sources. Autonomy, excellent communication … and strong motivation. Preferred Qualifications, Capabilities, And Skills 3+ years of experience working in a quantitative group applying AI/ML and data science to investment and/or trading businesses. Experience working with Equity products and investment strategies. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most More ❯

to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams , you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced … analyse large and complex payment data sets from diverse sources Identify trends, patterns, and anomalies within the data to uncover insights. Utilise advanced data analysis techniques (e.g., statistical modelling, machine learning) to extract meaningful information. Insight Generation: Develop comprehensive reports, dashboards and visualisations to communicate findings to stakeholders. Provide detailed analysis including creation of financial models to support … Not necessary but would be desirable to have: Master's degree in Data Science, Statistics, or a related field. Experience in Virtual card payments and rebate structures. Knowledge of machine learning and statistical modelling techniques. Experience with data visualisation tools (e.g., Looker, Power BI, Google Suite). Perks of joining us: Other than an amazing environment for you More ❯

data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version control tools like GitHub. Familiar with building machine learning pipelines and basic engineering principles. Familiar with machine learning techniques (e.g. Random Forest and LGBM). Us: Prevail Partners delivers high quality intelligence, research and More ❯

Data Engineering hire to join our small but high performing data team. You will be responsible for ensuring the scalability and reliability of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark … to: Own business critical components and perform meaningful work with an impact on our company and our customers Design , implement and deliver data pipelines and infrastructure to support our machine learning and analytics products Collaborate as part of a fast paced data team and help achieve the team's goals of delivering high impact data products at scale … this role: Proficient with Python and PySpark Experience working with a modern data stack is beneficial but not required Experience with AWS is beneficial but not required You enjoy learning new technologies and are passionate about experimenting to figure out how to build things in a better way. You are excited about Ophelos' mission to support households and businesses More ❯

to search? Keyword Apprenticeship Type Location Homes England Apprenticeship Programme 2025 - Associate Data Scientist Homes England Apprenticeship Programme 2025 - Associate Data Scientist , Apply From: 29/06/2025 Learning Provider Delivered by NORTHEASTERN UNIVERSITY-LONDON Employer Homes England Vacancy Description Essential Criteria •Either a degree in a maths or science subject, or demonstrable experience in statistics, data and … to tell a story •A curiosity around data, and desire to understand its completeness, quality, usability, and applicability to a business or policy area. •A strong interest in continued learning, and the willingness to do this independently. Desirable Criteria •Understanding on the importance of data understanding, data cleansing, data manipulation and data translation •An interest in the worlds of … AI and machine learning •A dedication to the process of review and testing your ideas and your work (we use Git + Azure Dev Ops). •A broad understanding of or interest in databases, data connectivity and APIs •An appetite to learn about the housing and regeneration policy areas and industrial sectors, and how data can be used More ❯

Quantitative Research to leverage data and analytics to enhance the Sales business. Innovate and evolve core predictive models using diligent data analysis, traditional statistical reasoning, and advanced AI/ML techniques. Architect and manage the evolution of the code base, ensuring data quality and integrity, and collaborate with other teams to maximize scale and leverage across the organization. Present findings … graduate professional experience. Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.). Demonstrated experience applying AI/ML techniques, preferably in the financial industry. Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex, large-scale, high-dimensionality data from varying sources. Autonomy, excellent communication … and strong motivation. Preferred Qualifications, Capabilities, and Skills: 3+ years of experience working in a quantitative group applying AI/ML and data science to investment and/or trading businesses. Experience working with Equity products and investment strategies. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most More ❯

from our partners in Cleveland Clinic Research/Lerner Research Institute. What will your duties include? Set up and maintain a separate research data infrastructure for London. Hosting of machine learning models, and creating and deploying of user-interfaces to allow rapid translation of data and research insights back into the London Healthcare sector. Develop, maintain and optimise … External Vendors and the research operational teams. Maintain documentation of data analysis processes. Methodology and results to ensure replicability and transparency with the wider D&A Team. Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, caregiver experience, and operational efficiency. Apply Statistical analysis methods to interpret data trends, patterns, correlations and More ❯

business relationships to pursuing their passions. As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As … to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions. Ensure adherence More ❯