101 to 125 of 3,581 AI Jobs in London

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 ...

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 ...

control models (RBAC/ABAC/PBAC), identity lifecycle management (Joiners/Movers/Leavers) and Zero Trust. Hands-on experience designing or leading AI driven initiatives within IAM or Cybersecurity. Strong ability to analyse identity telemetry (audit logs, sign in-logs, access data) and translate insights into actionable improvements … authentication (e.g. Windows Hello for Business, FIDO2) Identity governance activities including Access reviews, Entitlement Management and access control models. MS and 3rd party Agentic AI agents governance and lifecycle management. Solid engineering experience in Privileged Access Management (PAM) such as CyberArk, StrongDM: User and group management, OU design, Group Policy ...

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 ...

solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according … sensitivity and security requirements. Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements Capable of finding a balance between best of breed and cost ...

Title: Senior Manager- (Quantexa) Tech Lead Service Line: Data & AI – KPMG At KPMG, our Data & AI practice is a fast-growing and strategic capability. We combine technical implementation with deep domain understanding to deliver high-impact solutions for our clients. Within this space, Quantexa plays a critical role in enabling … platforms. Degree or Master's qualification in Computer Science, Data Engineering, or related field. Why Join Us? As part of our rapidly growing Data & AI team, you’ll have the opportunity to work on cutting-edge Quantexa projects, helping clients unlock the full value of contextual data. You’ll also ...

business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame … scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. Drive evidence ...

optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting‐edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary … will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business‐critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging ...

work on challenging problems across software engineering where performance, data quality, and reliability are non-negotiable, while leveraging modern cloud (AWS) and AI-assisted development tooling to accelerate delivery without compromising control.You will be need to have practical use of AI-assisted development tooling to improve engineering productivity.**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 ...

Guaranteed investment in your professional development & certifications A culture that rewards high performance and nurtures talent Exciting client work with real impact on data & AI transformation Hybrid working with flexibility and autonomy Key Experience Deep end-to-end experience delivering enterprise Databricks analytics solutions Expertise in Lakehouse Architecture, Delta Lake … Future of Data? If you're passionate about Databricks, modern data platforms, and want to take a lead role architecting solutions that power AI and analytics for enterprise clients, this is the perfect next step. Apply now or send your CV directly ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication ...

innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes ...

DynamoDB, Aurora, SQS) Containerization CI/CD Processes Cloud‐Native Architecture Monitoring & Operations Splunk Datadog Kibana Application Performance Monitoring Production Support AI‐Assisted Development Experience leveraging AI development tools such as GitHub Copilot, ChatGPT, Claude, or similar technologies to accelerate software delivery. Desired Competencies Strong problem‐solving and analytical skills. ...