551 to 575 of 902 Machine Learning Jobs in London

Insight capabilities (current market intelligence, pricing and fundamental data) and Hindsight analytics (historical data, market retrospectives and more). You'll work with cutting-edge technologies including AI and machine learning while leading a high-performing team of product professionals. You'll think about the right channel mix to provide customers with intelligence wherever they need it to … level customer analytics capabilities with ability to identify the right data for decision-making Strong understanding of emerging technologies, platform relationships, and technology trade-offs Experience with AI/ML integration and application in product development Proficiency in agile methodologies and modern product development practices Communication & Influence Exceptional verbal and written communication skills with ability to influence stakeholders at all More ❯

intensive environments Nice to Have Knowledge of machine learning principles and frameworks (e.g., PyTorch) Experience in front-end technologies like JavaScript Exposure to full-stack development or ML infrastructure Previous experience in high-scale software or research environments More ❯

may be beneficial: GUI development using .Net Technologies (C#, WinForms or WPF) or Qt/QML framework, or HTML5 GPU development for the solution of algorithmic problems (OpenCL, CUDA) Machine learning and AI 2D/3D graphics development; OpenGL, OpenGL Shaders, VTK, OSG, Vulkan More ❯

Advanced degree in a quantitative discipline (e.g. Computer Science, Financial Engineering, Applied Mathematics, Statistics) from a high ranking University ✅Experience/internship at a buy-side firm ✅Python proficiency ✅Machine learning experience is preferred ✅Experience developing FX or Futures strategies. ✅Ability to work in a fast-paced quantitative environment ✉️To discuss this opportunity in more detail please reach More ❯

Advanced degree in a quantitative discipline (e.g. Computer Science, Financial Engineering, Applied Mathematics, Statistics) from a high ranking University ✅Experience/internship at a buy-side firm ✅Python proficiency ✅Machine learning experience is preferred ✅Experience developing FX or Futures strategies. ✅Ability to work in a fast-paced quantitative environment ✉️To discuss this opportunity in more detail please reach More ❯

in this role you'll build strong relationships over time. Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & Machine Learning associated with electronic trading, statistical analysis of different financial data sets, data transformation advisory and consulting. What we are looking for : Degree level academics in Quant topic More ❯

number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary More ❯

number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary More ❯

number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary More ❯

number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary More ❯

We’re Looking For: 🏆 Experience: 3+ years in product management (2+ focused on AI/mobile). 📱 Mobile Expertise: Proven success launching innovative digital products. 🔍 AI Knowledge: Familiarity with machine learning concepts and application limitations. 🌍 Industry Fit: Experience working in high-growth fintech or tech startups. 🤝 Team Player: Work across engineering, data science, and design teams to deliver More ❯

We’re Looking For: 🏆 Experience: 3+ years in product management (2+ focused on AI/mobile). 📱 Mobile Expertise: Proven success launching innovative digital products. 🔍 AI Knowledge: Familiarity with machine learning concepts and application limitations. 🌍 Industry Fit: Experience working in high-growth fintech or tech startups. 🤝 Team Player: Work across engineering, data science, and design teams to deliver More ❯

29West, or Tibco. Familiarity with monitoring and telemetry platforms such as Corvil or Pico. Knowledge of observability solutions like ITRS Geneos integrated with Elastic Stack. Experience deploying and supporting machine-learning models in production environments. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer: Notwithstanding any More ❯

statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience More ❯

Services Manager/Customer Retention Specialist/Customer Operations Manager/SaaS/Software as a Service/Cloud Software/B2B Software/AI/Artificial Intelligence/Machine Learning/Legal Software/CRM/Customer Lifecycle/Client Onboarding/User Adoption/Customer Engagement/Renewals/Upselling/Account Growth/Business Relationship More ❯

dashboards Experience with Python for advanced analytics, forecasting, data wrangling, and automation of insight generation Intermediate to advanced SQL knowledge for structured data access and performance optimisation Exposure to machine learning techniques such as clustering, regression, or time-series modelling Ability to translate 'As-Is' data/reporting architectures into 'To-Be' states using structured methods and modern More ❯

senior client stakeholders and internal teams. Deep understanding of the European media landscape and data privacy regulations (e.g., GDPR). Preferred: Experience with advanced analytics techniques, including statistical modeling, machine learning, or predictive analytics (e.g., Python, R). Deep understanding of attribution models (e.g., last-click, linear, data-driven) and their application in media measurement. Familiarity with market More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

Design and optimize end-to-end AI pipelines, from data engineering to model training and deployment. Stay updated on emerging AI technologies and integrate them with existing AI/ML frameworks for innovative solutions. Collaborate with cross-functional teams to architect and build AI-powered full-stack applications, ensuring efficiency, security, and usability. More ❯

function. Ensuring data is accessible and actionable across the business. Acting as the bridge between the data team and wider stakeholders, improving communication and alignment. Supporting data teams across ML, BI, and Data Engineering to deliver against business priorities. Helping implement best practices, processes, and communication frameworks. Driving the commercialisation and scaling of data within a sensitive, regulated financial environment. More ❯

Strong strategic mindset and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? You'll join a high More ❯

Global Trading firm Role Summary: Lead enterprise data strategy and architecture. Own and manage an Enterprise data management - Azure-native data platform architecture, governance frameworks, and drive AI/ML adoption across the business. The ideal candidate is an extensive hands-on architect with high-regulated data architect lifecycle experience covering data lakes, data warehouses, from concept to deployment and More ❯

expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder engagement, and team development capabilities. Excellent problem-solving, communication, and presentation skills. Location: London Please note, our client is More ❯

expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder engagement, and team development capabilities. Excellent problem-solving, communication, and presentation skills. Location: London Please note, our client is More ❯