226 to 250 of 1,145 Machine Learning Jobs in London

part of your day‐to‐day work. You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI‐assisted operations, and responsible AI practices. The Cloud Architect is a subject matter expert in one or more categories that … vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns. Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines. Experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI‐assisted cloud operations. Experience with cloud ...

plan and make decisions. Your Impact Contribute to the architecture and take ownership of the design, development, and deployment of scalable Generative AI and Machine Learning systems into production environments. Develop end‐to‐end GenAI features including backend API services, model integration, model monitoring, evaluations, and deployments. Integrate … Artificial Intelligence, Machine Learning, or related engineering domains. End‐to‐end exposure in model lifecycle development, including demonstrated experience deploying and maintaining ML models in production environments. Strong knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine‐tuning LLMs for domain‐specific enterprise applications. ...

Prevention Team The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting‐edge machine learning, real‐time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … across teams (Product, Data Science, Investigations). Nice to Have Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). What do we offer Starting salary: £111,000 - £145,000 The company Benefits #J-18808-Ljbffr ...

Model Design and wider Data Office and CDO support functions Data Science and Information Analysis – Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also … architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish ...

marketplace efficiency, partner ROI, and revenue growth Own ad relevance initiatives that enhance the quality and personalization of sponsored listings for travelers Partner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives Define success metrics … digital advertising, marketplace platforms, or auction‐based systems Proven track record of launching and scaling technical products that drive meaningful business outcomes Experience with machine learning applications, preferably in advertising or marketplace optimization Strong analytical skills with experience using data to inform product decisions and measure success Proficient ...

Creandum Advisor LLP is seeking a Senior Staff Machine Learning Engineer to shape the architecture and strategy for machine learning systems. This role focuses on content understanding and ensures safe, high-quality experiences for listeners and creators. You will build, scale, and deploy ML systems across text, audio, image, and video, collaborating with various teams to uphold content standards while enabling automated decision-making. The position offers flexibility with ...

statistics and experience applying advanced modelling techniques to real-world business problems. Working closely with cross-functional stakeholders, you will leverage statistical modelling, machine learning, and predictive analytics to improve forecasting accuracy, optimise inventory, and drive operational efficiency. Key Responsibilities: Apply statistical modelling and machine learning … understanding of statistical concepts, including: Probabilistic modelling Statistical inference Time series analysis Forecasting methodologies Proficiency in Python or R for data analysis, modelling, and machine learning. Experience applying analytics within a supply chain environment. Strong analytical thinking and problem-solving abilities with a focus on methodological rigour. Excellent communication ...

Senior Software Engineer (ML Systems) Title : Senior Software Engineer (ML Systems) Company : Deep Technology Organisation Location : London Pay : Up to £120,000 Company : A deeply technical organisation is investing heavily in the future of large-scale intelligent systems. They are assembling a small group of exceptional engineers and researchers … deployed. In you, they hope to find a strong systems engineer with experience building or analysing high-performance computing platforms, distributed infrastructure, or machine learning systems. You will work alongside experts across software, infrastructure and research to shape the next generation of large-scale compute systems. There ...

Chase UK is seeking a Lead Machine Learning Scientist to drive end-to-end, cloud-native ML solutions for our International Consumer Bank. You will design and implement production-grade models, mentor junior colleagues and lead cross-functional teams through the SDLC lifecycle. Leverage data to solve complex ...

accounts in the insurance industry, ensuring alignment with client business objectives. Identify and pursue new business opportunities by positioning Quantiphi’s capabilities in AI, machine learning, data analytics, and cloud solutions tailored for insurance organizations. Drive account expansion by identifying cross-sell and upsell opportunities across business lines … highly dynamic and talented individuals. Experience collaborating with Fortune 500 business stakeholders and cutting-edge market disruptors. Work with the latest technologies in AI, ML, data analytics and cloud computing. If you like wild growth and working with happy, enthusiastic over-achievers, you\'ll enjoy your career with us. #J ...

leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering—building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises … both remote and in‐person team members and stakeholders The Team You’ll join a high‐performing engineering team working on a large‐scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across ...

commercial strategy for Dow Jones Energy. In this specialized, highly commercial role, you will move beyond standard data insights to build production‐grade machine learning algorithms that tell our global sales teams exactly who to call, when to call them, what product to pitch, and at what price. … SaaS, FinTech, or Price Reporting Agency (PRA) setting. Technical Stack : Advanced mastery of Python or R, production‐grade SQL, and deep experience linking machine learning workflows to Salesforce CRM via automated APIs. Methodology Expertise : Proven skill in supervised classification (lead scoring), predictive churn forecasting, customer segmentation (clustering ...

Ideal Qualifications (but not required) You have experience in building AI applications within financial services. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What … automated decision‐making in financial services — setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling … engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your prior experience, helping you gain momentum and confidence while staying aligned with the current market. There are progression opportunities ...

drive the strategy, roadmap, and delivery of AI-enabled products and enterprise capabilities for Mastercard. This leader will define how artificial intelligence, generative AI, machine learning, and agentic capabilities are applied across the payments ecosystem to improve customer experiences, reduce risk, accelerate product innovation, and create measurable business … customer-facing products, partner solutions, or monetizable services. Required Qualifications Experience in product management, product strategy, platform product management, fintech, data products, AI/ML products, or enterprise technology. Experience leading product teams, cross-functional teams, or complex product portfolios. Strong understanding of artificial intelligence, machine learning, generative ...

Engineer – Defence Consultancy (6-Month Contract) A defence consultancy is seeking an experienced AI Engineer to design, develop, and deploy machine learning solutions for secure, mission-critical environments. You will work across the full development lifecycle, from initial design to model deployment, optimization, and production support. Position Type … Month Contract Security Requirement: Must hold an active SC-DV Clearance Key Responsibilities Development: Design and build AI-enabled applications using Python, machine learning frameworks, and Generative AI/LLM components. Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams. MLOps ...

decision-making.Support training, upskilling and knowledge sharing to build a data-driven culture.Lead & Inspire a High-Performing TeamLead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts.Build a strong, collaborative and innovative team culture focused on delivery and impact.What We’re Looking ForExperience & ExpertiseProven experience leading … learning or data platform teamsTrack record of delivering data and AI initiatives with clear business impactStrong understanding of data platforms, analytics, and ML/AI technologiesExperience operating in complex, matrixed organisationsBusiness & Leadership SkillsStrong commercial acumen and ability to link AI initiatives to business valueExcellent stakeholder management and influencing ...

/AI Solutions Architect, you will be responsible for designing scalable, highly secure, and resilient data and AI systems, while driving strategic initiatives including Machine Learning, LLMOps, RAG, and GCP cloud migration. This role bridges business needs with technical execution, involving stakeholder management, cloud-native … architecture development, and ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: · Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform. Develop and maintain iterative designs aligned to modern engineering practice. Ensure alignment to platform strategy ...

Build pipelines of diverse technology talent across multiple domains includin g:Cloud Engineeri ngPlatform Engineering & Operatio nsSoftware Engineeri ngData Engineering & Analyti csCybersecuri tyAI/Machine Learning/Generative AIEnterprise Architectu reInfrastructure Engineeri ngDevOps & Site Reliability Engineeri ngTechnology Risk & Governan ceTechnology Modernisation & Digital Transformati onProactive Attractio n: Develop proactive … ons.Knowledge of modern technology stacks, cloud platforms (AWS, Azure, GCP), cybersecurity frameworks, DevOps practices, and data platfo rms.Experience hiring for emerging technologies including AI, Machine Learning, Generative AI, and cloud-native technolog ies.Familiarity with applicant tracking systems and recruiting analyt ics. Success Mea suresThe successful recruiter will:Consistently ...

Responsibilities: Design and deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable … deployments and integration into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache ...

skilling and knowledge sharing to build a data‐driven culture. Lead & Inspire a High‐Performing Team – Lead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts. Build a strong, collaborative and innovative team culture focused on delivery and impact. Key Requirements Experience & Expertise – Proven experience leading … machine learning or data platform teams, delivering data and AI initiatives with clear business impact. Strong understanding of data platforms, analytics, and ML/AI technologies. Experience operating in complex, matrixed organisations. Business & Leadership Skills – Strong commercial acumen and ability to link AI initiatives to business value. Excellent ...

real-time data pipelines. Develop data ingestion, transformation and storage solutions for operational and AI workloads. Build and optimise vector search, retrieval systems and ML data pipelines. Ensure data reliability, governance, monitoring and observability across the platform. Work closely with AI, backend and product teams to support model training, inference … Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms (AWS, Azure or GCP). JavaScript/Node.js experience. Event-driven architecture and stream processing experience. Previous ...

criteria; perform testing and validation Partner with Technology to develop AI‐ready datasets for surveillance and analytics use cases Define standards for AI and machine learning feature consumption with appropriate metadata and context Collaborate with cross‐LOB stakeholders to align on requirements, governance ownership, and promote reuse … risk reporting or regulatory deliverables with traceable data and control evidence Working knowledge of structured credit instruments and related datasets Understanding of AI and machine learning concepts to support analytics and feature consumption standardsStrong stakeholder management and communication skills with the ability to translate between business and technical ...

programme but typically include: Designing and developing AI-powered applications using Python, TypeScript or similar technologies Building solutions using Large Language Models (LLMs), Machine Learning and other AI techniques to solve complex operational challenges Developing secure, scalable software for classified environments Supporting solution architecture and technical design across … Active UK eDV Clearance Experience developing software using Python, TypeScript or similar programming languages Strong understanding of Artificial Intelligence, including modern LLMs and traditional Machine Learning techniques Experience designing and delivering software solutions across the full development lifecycle Strong problem-solving skills with the ability to work ...

Vector Databases and MLOps. Support clients in navigating cloud, security, data governance and operating model considerations required for enterprise AI adoption. Communicate complex machine learning and AI concepts in a way that resonates with business leaders, focusing on business impact, costs, risks and time-to-value. Contribute … Azure or GCP), including their Generative AI capabilities and the security, data and operating model considerations required for enterprise deployment. Ability to communicate sophisticated machine learning and AI concepts to senior stakeholders who are focused on commercial outcomes, risk management, investment decisions and business value. What ...