1,126 to 1,150 of 4,521 AI Jobs in London

customer workshops. Preferred qualifications: Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security. Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution). Experience building long ...

Breach & Attack Simulation experience. Knowledge of cloud security testing across AWS, Azure, and Google Cloud Platform. Experience with social engineering engagements. Understanding of AI and emerging security threats. Experience with container security, Kubernetes, Docker, and CI/CD security testing. Knowledge of C2 frameworks and advanced offensive security tooling. Experience ...

Technology strategy and operating model design Application and enterprise architecture Technology due diligence Carve‐outs, separations, integrations, and data migrations Data architecture, analytics, and AI‐enabled solutions Infrastructure transformation, including on‐premises, hybrid, private, and public cloud environments Data management, cybersecurity, operational resilience, and IT risk Technology policies, governance ...

deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. ...

Typescript and React. Experience applying iterative development to deliver high-value outcomes in complex domains. Exposure to data-driven or analytical systems; experience with AI/ML-related features is beneficial but not required. Familiarity with CI/CD, observability, and operating production systems. Understanding of front-office or revenue ...

fluency with experience in performance tuning.* Track record of designing and building systems for high throughput and low latency.* Hands-on experience with agentic AI development: LLM integration, prompt engineering, and SDLC automation.* Solid understanding of middleware and messaging technologies such as Chronicle Queue, RabbitMQ, Aeron, and Kafka.* Working knowledge ...

develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). ...

fans experience them. Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real‐time sports data, 3D graphics, and AI‐driven storytelling. If you’re passionate about machine learning architecture, scalable technical solutions, and guiding engineering teams through complex technical challenges, this could be your ...

pipelines and containerization Exposure to quantitative finance concepts and market risk measures Understanding of regulatory reporting requirements in financial services Usage of Agentic AI tools for Software Development, Testing, Analysis About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

energy sector or with computational modelling/simulation software. Familiarity with scientific computing libraries (NumPy, Pandas) and optimisation frameworks. Experience with generative AI/LLMs in applied engineering contexts. Experience with infrastructure-as-code tools (Terraform, Terragrunt) and GitOps practices. #J-18808-Ljbffr ...

present findings to the credit risk committee. Innovation: systematize business problems, design smart solutions, and help build scalable, compliant straight‐through processes, including AI capabilities. Communication: facilitate smooth, fact‐based information flow between colleagues, supporting a culture of open dialogue and mutual respect. WHAT YOU’LL BRING Minimum 6 years ...

Effective communication skills and ability to collaborate across teams Proven track record of delivering high-quality, production-ready software Nice to Have Experience with AI-based software engineering including agent-based development, assisted/automated code reviews, etc. Experience working with cloud platforms such as AWS, GCP, or Azure Experience ...

Entra ID for identity, Salesforce. We’ve deployed Claude and Claude Code org‐wide and expect Solutions Engineers to be force‐multiplied by AI‐assisted development, not bystanders to it. You’ll thrive here if You’re energised by ambiguity and by sitting alongside the person with the problem rather ...

automation and data extraction: Python, Bash and/or PowerShell Core networking concepts: firewalls, ports, proxies, DNS and TLS Strong knowledge of Agentic AI technologies and autonomous operations principles Certifications Hold at least one Dynatrace certification appropriate to the level of the role (e.g. Dynatrace Professional). As a senior ...

coaching and collaboration. What you offer 10+ years' experience in a comparable role, with a track record in digital solutions, finance transformation, and delivering AI-enabled or data-driven products within financial services Advanced analytical and structured problem‐solving capabilities, able to define high‐value opportunities, shape delivery strategies ...

been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions ...

British Airways the sky is never the limit. The role: Principal Data Engineer You'll be part of either our Data & AI Delivery team or the Commercial data team, acting as a technical leader for data engineering across the organisation. These teams play a critical role in enabling secure, scalable ...

research into product development and design processes. Stay informed about industry trends, tools, and methodologies to continuously improve the impact of user research. Use AI tools to accelerate the mechanics of research - transcription, tagging, clustering, first-pass synthesis - while personally validating outputs for accuracy, applying the scrutiny that separates ...

requirements, bug fixes, regulatory mandates, and enhancements from technology partners and internal product teams. Data Analytics Engagement & Support: Champion the adoption of analytics and AI tools within the account. Support the progress of data projects along the established roadmap, facilitating communication and collaboration between the account team, client, and data ...

research into product development and design processes. Stay informed about industry trends, tools, and methodologies to continuously improve the impact of user research. Use AI tools to accelerate the mechanics of research - transcription, tagging, clustering, first-pass synthesis - while personally validating outputs for accuracy, applying the scrutiny that separates ...

definition is outcome oriented. Develop and execute a strategic roadmap for the measurement product, identifying new opportunities and alternative solutions to overcome limitations. Leverage AI tools to optimise and scale our processes, and provide deep-dives. Define processes for marketing channel optimisation based on different measurement solutions available. ...

AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached ...

This includes planning investigations, reviewing evidence, conducting interviews, and delivering clear investigative reports. Innovation & Prevention: Identify and integrate new technology into compliance processes, including AI, data analytics, and automation. You will help identify areas of improvement and ensure appropriate remedial actions are in place to prevent repeat violations. What ...

strategy, trade-offs, and system interactions A data-informed approach to decision-making, with a bias toward observability and learning A proactive mindset toward AI and emerging technologies, with the curiosity and willingness to experiment, learn, and leverage them to drive team efficiency and innovation What we value Beyond technical ...

strategies (unit, integration, end-to-end) Experience with monitoring, logging, and observability tools Knowledge of scalable system architecture and design patterns Familiarity with modern AI tools and a habit of staying up to date with how they can improve engineering workflows Highly desirable AdonisJS, NestJS or similar MVC frameworks ...