576 to 600 of 2,929 Machine Learning Jobs in London

maximise customer value. What you’ll do Develop and drive actionable customer intelligence from our core data assets using advanced analytics Build AI and machine learning solutions using our rich data, including product holding, demographics, product usage, customer service interactions and customer metrics Develop predictive models for churn … analytics and machine learning, including forecasting, predictive modelling, optimisation and clustering Proven track record of building and deploying large-scale AI/ML solutions in cloud environments Ability to quickly understand business objectives, solve complex problems and communicate insights clearly to senior stakeholders Excellent Python skills using Scikit ...

architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops … Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/Machine Learning/advanced analytics Architecture repositories and modelling tools You should be comfortable operating at both strategic and technical levels - able to establish ...

engineering strategies, evaluation frameworks, and AI guardrails to ensure reliable and scalable automation. Create and maintain data management and validation pipelines supporting AI and machine learning systems. Design and implement scalable APIs, web services, microservices, and software development kits (SDKs). Apply software engineering best practices including reusable … discipline, or equivalent industry experience. Commercial experience in software development using Python. Hands‐on experience developing production‐quality software solutions. Exposure to Generative AI, Machine Learning, LLMs, or AI‐powered applications. Experience working with cloud platforms and modern software engineering practices. Experience developing APIs, web services, or microservice ...

engineering bar across your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What … production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. ...

join our AML Risk team in London. This role is a unique opportunity to work on building out the lead Data Science team and machine learning based technical solutions in the AML Risk team, which owns AML detection across all of the Wise licenses. This is an exciting … customers. About the Role In the Anti-Money Laundering (AML) Risk team we are developing systems which are a mixture of unsupervised and supervised learning, with GenAI to detect and mitigate Financial Crime on a global scale. You will be making sure the AML Risk Data Science team ...

functional collaboration: Partner with product, research, engineering and go-to-market teams; bring customer and industry insights back into product and model development. Industry learning and thought leadership: Stay current with generative media models, creative tools and production practices, and turn new capabilities into clear customer-facing use cases. … Qualifications Minimum Qualifications Individuals who are completing or have recently completed a bachelor's degree in computer science, artificial intelligence, machine learning, creative technology, animation, film, digital media, advertising or a related field or a related discipline. Hands-on experience building with generative AI models, especially image, video ...

Integrating our high and low frequency systems for more optimal trading Re‐architecting systems to provide a seamless path from research to production for machine learning models Enabling large‐scale distributed training of machine learning models Contributing back to open source projects Who are we looking ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business … technology risk FUNCTIONALITY DESCRIPTION Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization Performing detailed analysis on risk trends and drivers Updating and maintaining risk models along with business growth and risk environment changes ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business … technology risk FUNCTIONALITY DESCRIPTION Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization Performing detailed analysis on risk trends and drivers Updating and maintaining risk models along with business growth and risk environment changes ...

data assets, ensuring they meet the requirements of scalable, transformation-facing analytics. Contribute to data assets and pipelines that are structured to support AI, machine learning, and agentic workflows - increasingly the default mode of delivery rather than a side project. Monitor and optimise the performance of data models … with data pipeline concepts, transformation logic, and ETL/ELT processes. Working understanding of how data assets are structured and prepared to support AI, machine learning, and agentic use cases - this is now a core expectation of the role, not a nice-to-have. Comfortable translating business logic ...

insights that drive audience growth, commercialperformanceand better decision-making. Working across nine European markets,we'rebuilding a modern data capability that combines analytics,experimentationand machine learning to createreal businessimpact. The Difference You Will Make As a Senior Data Scientist,you'llplay a key role in shaping how Bauer … Data Scientist or Senior Data Scientist role, with a proventrack recordof delivering measurable business outcomes Advanced Python and SQL skills Expertise using modern machine learning and statistical modelling frameworks such as scikit-learn, XGBoost and similar tools Experience building, deploying and maintaining predictive models in production environments Strong ...

Fitch Group, Inc. is seeking a Lead Machine Learning Engineer in London to develop and support AI solutions across the organization. This role requires 5+ years of experience in machine learning or AI engineering and a deep understanding of multi-agent architectures. The ideal candidate will ...

expected outcomes. **AI & Analytics Evangelism** * Champion the capabilities of the Data Analytics team across the organization.* Educate stakeholders on the potential of AI, machine learning, predictive analytics, descriptive analytics, and data visualization.* Identify opportunities where AI can improve decision-making, customer experiences, operational efficiency, risk management, or revenue … through analytics and technology initiatives.* Experience translating business requirements into analytical or AI solutions. **Technical Knowledge** **Strong understanding of** * Artificial Intelligence and Generative AI* Machine Learning concepts and applications* Predictive and descriptive analytics* Data visualization and storytelling* Business Intelligence platforms (Power BI, Tableau, etc.)* Data warehousing and modern ...

clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring … Degree in Computer Science, Computer Engineering, related Engineering field BASIC (REQUIRED) QUALIFICATION Practical experience in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud. Strong understanding of AI and machine learning ...

mission and millions of our customers. The AML Handling & Prevent team offers an exciting environment for applying cutting-edge Generative AI solutions and machine learning architectures. This team is dedicated to enhancing our financial crime mitigation operations through advanced tooling, automated evaluation frameworks, and prompt optimization, aiming … team through complex technical implementations, architectural decisions, and AI governance standards. A bit about you: Experience implementing, training, testing and evaluating performance of Machine Learning systems; Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles; Knowledge and experience developing and evaluating GenAI/ ...

direction Working with cloud-native infrastructure and containerised applications Applying strong analytical and mathematical thinking to engineering problems Working alongside teams using AI and machine learning within the wider technology environment Technology Python | Java | GCP | Docker | REST APIs | Distributed Systems | Event-Driven Architecture | Streaming | Real-Time Data | AI/ML What We're Looking For We're looking for engineers with strong backend foundations who have worked on technically demanding systems where speed, reliability ...

CBEST, TIBER, and iCAST Experience of targeting cloud-based environments such as Azure and AWS, and technologies such as Kubernetes Experience applying AI/ML techniques such as deepfakes and prompt injection TheCybersecurity & Technology Controls group at JPMorganChase aligns the firm’s cybersecurity, access management, controls and resiliency teams. … looking for multi-disciplined forward-looking technologists like you with diverse backgrounds and experiences including in areas such as cybersecurity, big data, machine learning risk management and controls, compliance and oversight, and cloud security. When you work at JPMorganChase, you’re not just working at a global financial ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

deliver reliable customer outcomes. Customer engagement and enablement Deliver technical demos, workshops, architecture reviews, and proof‐of‐concepts that move opportunities forward. Explain machine learning clearly to engineers, operators, executives, and other non‐technical audiences. Build trusted relationships and manage technical stakeholders from evaluation through production. Ecosystem contribution … deployments. Skills and experience Core requirements Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision. Experience training, optimizing, evaluating, and deploying machine learning models. Comfortable with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows. Experience deploying across Linux, macOS, and Windows environments. Proven ...

leading technology firm in Greater London seeks an experienced AI Scientist or Machine Learning Engineer. This role involves designing and implementing algorithms for physiological monitoring systems, focusing on robust machine learning solutions capable of detecting physiological deterioration. Candidates should have ...

collaborative environment with plenty of ownership and exposure to cutting-edge technologies. The Role Build scalable data pipelines using Microsoft Fabric and Databricks Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction Work with structured, semi-structured, and document-heavy datasets Create reusable data … Data Engineering Hands-on expertise with Microsoft Fabric and Databricks Advanced Python and SQL skills, with PySpark desirable Experience building data pipelines and machine learning models Knowledge of NLP, entity resolution, or document processing is advantageous Strong communication skills and commercial awareness ...

will play a leading technical role in the design, development and deployment of AI solutions across the organisation. You will combine software engineering, machine learning and AI platform expertise to turn innovative concepts into production-ready products that deliver measurable business value. This is a hands‐on engineering … across Engineering, Operations and Product organisations. WHAT YOU'LL BRING Essential Experience Extensive software engineering experience delivering production-scale solutions. Experience building AI or machine learning systems in enterprise environments. Demonstrated experience moving AI solutions from proof‐of‐concept into production. Strong understanding of software architecture, engineering standards ...

decisions. Succeed Together. We have each other's backs. The Role This is applied data science. You will use advanced analytics and machine learning to understand our customers better and solve problems that genuinely matter to the business, working with customer, booking, digital, marketing and behavioural data. … into structured analytical problems and testable hypotheses. Explore complex behavioural and transactional data to find what others have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design ...

assisted workflows to navigate evidence, develop questions, test hypotheses and surface inconsistencies for deeper review. You’ll work closely with product, engineering and applied machine learning teams to improve these tools as AI capabilities evolve. The goal is simple: help safe medical technology reach patients faster, without compromising … insights from research, standards and guidance Use AI-assisted tools to investigate evidence, explore failure modes and develop assessment questionsWork with product, engineering and machine learning teams to improve assessment workflows Contribute to expanding into new jurisdictions and certification frameworks Create clear content explaining complex technical and regulatory ...

Artificial Intelligence and Machine Learning workloads. As AWS continues to build and scale, our data centers increasingly host high-density AI/ML and accelerated computing alongside our established services, and you will lead the teams that keep this critical infrastructure running safely, reliably, and at pace. … 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 ...