101 to 125 of 3,694 AI Jobs in London

Head of AI Solutions, COO Technology - MD (C16) page is loaded## Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: 26980998Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services — and this … role that leads it.The **Head of AI Solutions** is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This ...

Senior PAM & AI Engineer (Privileged Access Management) Salary: Competitive Plus Benefits Location: London Store Support Centre, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 31 July 2026 We’d all like amazing work to do, and real work-life balance. That’s waiting … learn, experiment and push ways of working such as Agile, Scrum and XP. So you can look forward to awesome opportunities in everything from AI to reusable tech. Senior Identity and Access Management Engineer (PAM) Proven experience applying Identity & Access Management (IAM) principles including Authentication, Authorisation, Access control models (RBAC ...

building, and operating the intelligent systems that underpin our global production environment. This is an engineering‐first position at the intersection of software craftsmanship, AI‐native development, and large‐scale distributed systems. As part of a multi‐year transformation journey, the successful candidate will help define what production engineering looks … like in an era of autonomous agents, generative AI, and self‐healing infrastructure. You will be expected to write production‐grade code daily, design agentic workflows, and contribute meaningfully to the evolution of our AI engineering practices across Citi’s India technology hub. The role requires a comprehensive understanding ...

potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands … platform design principles and best practices Guide colleagues on coding practices, design principles, and implementation patterns for high-quality, maintainable solutions Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability for agent performance Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics ...

AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. … write efficient code and have a good understanding of data structures and algorithms. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required. Preferred Skills Knowledge of Machine Learning Algorithms: Familiarity with various machine learning algorithms like linear regression, decision ...

Core Technical Qualifications: Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science – traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine‐tuning … EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide – including Comcast, Condé Nast, Grammarly, and over 50 % of the Fortune 500 – rely on the Databricks Data Intelligence Platform ...

make a meaningful impact in a dynamic, global environment? As an ICB Data Control Manager, you will help shape the future of data, privacy, Artificial Intelligence/Machine Learning (AI/ML) governance, analytics management and operational risk at JPMorganChase. You’ll join a collaborative, agile team where your expertise … skills Strong audit, internal control, or operational risk experience. Expertise in data risk management, data privacy, analytics, and IT. Subject‐matter expertise in AI and model risk governance, including Large Language Model (LLM) and Generative AI risk considerations. Financial services experience, ideally within retail or consumer banking or corporate ...

teams Passion for building scalable, efficient software solutions Innovative approach to solving complex technical challenges Strong sense of initiative and product ownership Experience with AI and machine learning integration preferred What’s in it for you Cutting-Edge Technology: Work with the latest web and cloud technologies Inclusive Work Culture ...

quality of advice across Europe. Monitor legal market pricing trends, client procurement expectations, competitor approaches, legal operations practices, and the impact of technology and artificial intelligence on legal service delivery, pricing models, and matter management. Provide training and coaching to partners, associates, and professional staff on pricing strategy, law firm … Word, Power BI, and financial reporting tools; experience with law firm financial systems (Aderant), pricing and matter management technologies, project management tools, SQL, and artificial intelligence technologies preferred. Knowledge of the European legal market, including client buying behavior, procurement processes, and regional pricing and matter management norms strongly preferred. Ability ...

quality of advice across Europe.Monitor legal market pricing trends, client procurement expectations, competitor approaches, legal operations practices, and the impact of technology and artificial intelligence on legal service delivery, pricing models, and matter management.Provide training and coaching to partners, associates, and professional staff on pricing strategy, law firm economics, matter … Word, Power BI, and financial reporting tools; experience with law firm financial systems (Aderant), pricing and, matter management technologies, project management tools, SQL, and artificial intelligence technologies preferred.Knowledge of the European legal market, including client buying behavior, procurement processes, and regional pricing and matter management norms, strongly preferred.Ability to protect ...

Functional Communication : Document complex technical architectures clearly and articulate system requirements, post-mortems, and engineering strategies effectively to both technical and non-technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self-service infrastructure tools, deployment templates … place for you. Skills, Experience & Personal Attributes Platform Experience : Demonstrable DevOps experience, with a proven focus on building software engineering platforms or AI/ML infrastructure. IaC Mastery : The successful candidate must demonstrate advanced proficiency in Infrastructure as Code (IaC), with a track record of building and maintaining complex cloud ...

derivatives (e.g., uncleared margin rules, clearing mandates) and ensure compliance is embedded in product features and delivery models. Integrate new technologies like automation, AI, and distributed ledger technology (DLT) where appropriate to enhance operational workflows for complex instruments. Collaboration and Leadership Work closely with cross-functional teams, including engineering, client … Education & Preferred Qualifications Experience with data analytics tools (e.g., SQL, Tableau, Python) to derive insights and support decision-making. Familiarity with emerging technologies like AI, machine learning, and DLT within financial services. Prior experience working within a financial services technology platform or a similar business unit. CFA, MBA, or Masters ...

About our team We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering—from predictive models to enterprise GenAI apps to automation that … working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations. In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation ...

mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries … keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI ...

/CD, application resiliency, and security best practices Experience developing, debugging, and maintaining code using modern programming and database querying languages Knowledge of cloud, artificial intelligence, machine learning, and mobile technologies Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services Strong interpersonal ...

programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Linux: understands the OS architecture, fluent user ...

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining … cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision ...

worldwide. You will work on challenging problems across software engineering where performance, data quality, and reliability are non‐negotiable, leveraging modern cloud (AWS) and AI‐assisted development tooling to accelerate delivery without compromising control. Practical use of AI‐assisted development tooling to improve engineering productivity is required. WHAT … such as AWS or Azure Knowledge of CI/CD, automation, testing, and modern engineering practices Strong problem‐solving and analytical skills Interest in AI and emerging technologies Ability to collaborate effectively across global teams Bachelor’s degree in computer science, engineering, or equivalent practical experience Experience We Value ...

/day Job Type: Contract Company Introduction We're partnering with an innovative technology organisation that is transforming how enterprises leverage AI to solve complex business challenges. They're looking for a Solution Engineer who enjoys building scalable applications, working directly with customers, and delivering impactful AI-driven solutions. … Responsibilities/Objectives Design, build, and deploy enterprise-grade AI applications. Collaborate directly with customers to understand requirements and deliver production solutions, proofs of concept, and technical demonstrations. Develop full-stack applications using modern technologies and engineering best practices. Review application designs and code, ensuring quality and scalability. Troubleshoot, optimise ...

ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our AI group The group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios … which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ML Eng, Data engineers, analysts and product owners. Role Overview Within the various studios and other central teams, you will interact with data, engineering, and product teams. The role will be directly ...

LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you!**ROLE SUMMARY:** As a Principal Data Scientist (individual contributor), you will play … hands-on role in designing, building, and deploying scalable AI solutions that go beyond prototypes and are actively used in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise ...

Define and drive SAP Data & Analytics strategies aligned with business and digital transformation goals. Lead large-scale transformation programs involving SAP BDC, Datasphere, SAC, AI, and enterprise cloud data platforms. Act as a trusted advisor to executive and senior business stakeholders. Establish best practices, governance frameworks, architectural standards, and delivery … dashboards, planning, and predictive analytics. SAP BDC Connect and Data Products frameworks. Intelligent Applications and Data Packages. Medallion Architecture patterns leveraging SAP HANA Cloud. AI-enabled analytics and data-driven decision support. Key responsibilities include: Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements. ...

Description Key Responsibilities of the Role Design and build AI‐augmented migration tooling, using Claude Code and Copilot, that automates discovery, code transformation, containerisation, and validation across compute platforms. Engineer agentic workflows that analyse legacy workloads, generate migration artefacts (Dockerfiles, Helm/Kubernetes manifests, CI/CD pipeline definitions … produce reviewable pull requests against real codebases. Build the guardrails: automated validation, rollback, and continuous verification so AI‐generated migration changes are safe to ship at scale. Establish reusable patterns, prompts, evals, and reference implementations that let the rest of the migration org apply these tools consistently and reliably. Partner ...

CIBC.com STRATEGIC BUSINESS UNIT DESCRIPTION The Quant Solutions Group (QSG) is a global, cross-asset team that builds the software, analytics, data products and AI-enabled tooling that underpin the Global Markets business. The analytical software and data solutions developed by QSG are widely used across CIBC, helping Distribution … bridge between trading, risk, quant, distribution, data governance and technology teams, translating abstract business requirements into scalable, production-grade data, analytics and AI-enabled solutions. KEY ACCOUNTABILITIES Data Product Strategy and Commercial Value Define target-state data products and semantic layers for key Global Markets domains, including client, trade, market ...

products to ensure compliance with standards and regulations Identify and resolve technical or operational issues during onboarding processes Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness … proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Provide ongoing support and training to stakeholders on new product features ...