1,976 to 2,000 of 19,960 AI Jobs in England

internal and external partners. Champion FinOps principles to drive significant cloud cost optimisation and guide performance tuning of distributed systems. Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven … defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skillsFormal training or certification (e.g., BSc, CKAD ...

engineering teams to define application roadmaps and prioritize strategic technology investments Drive modernization initiatives, including cloud adoption, platform simplification, application resiliency, automation, and AI-enabled capabilities Act as the primary technical authority for the application suite, making informed decisions on architecture, design patterns, technology selection, and engineering best practices Manage … deep understanding of Front Office processes, investment workflows, and evolving business needs Promote innovation by identifying opportunities to leverage emerging technologies, data-driven insights, AI capabilities, and automation to improve business outcomes and operational efficiency Ensure platforms meet required standards for security, compliance, resiliency, performance, and operational supportability What ...

Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a \"normalized\" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make … small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin (US), London (UK) About ...

accuracy, scalability, and operational efficiency Support the full software development lifecycle, including production monitoring, troubleshooting, and continuous improvement Leverage modern data engineering technologies and AI-enabled workflows to enhance automation and control frameworks Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field Strong professional experience developing … regulated environments Knowledge of financial markets, trading systems, financial products, and trade lifecycles Experience with cloud platforms and modern data engineering technologies Exposure to AI-enabled workflows, intelligent automation, or machine learning applications Experience working with large-scale financial datasets ...

Conversations is an AI-powered conversation analytics platform used by some of the world's largest pharmaceutical companies to improve the quality and effectiveness of their customer interactions. The KAI platform supports multiple languages, integrates with enterprise systems, and enables large organisations to understand and improve the impact of their … pharma commercial context. That judgment is what separates a correct-looking chart from a finding a client can act on. You'll use modern AI tools (Claude, Copilot, ChatGPT) as core working infrastructure for analysis and reporting - and help make that work reliably and repeatably, so good analysis ...

Conversations is an AI-powered conversation analytics platform used by some of the world's largest pharmaceutical companies to improve the quality and effectiveness of their customer interactions. The KAI platform supports multiple languages, integrates with enterprise systems, and enables large organisations to understand and improve the impact of their … pharma commercial context. That judgment is what separates a correct-looking chart from a finding a client can act on. You'll use modern AI tools (Claude, Copilot, ChatGPT) as core working infrastructure for analysis and reporting - and help make that work reliably and repeatably, so good analysis ...

ensure that we focus on solving the essence of the problem rather than merely dealing with the symptoms Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities and skills English working proficiency is a must, you will ...

Conversations is an AI-powered conversation analytics platform used by some of the world's largest pharmaceutical companies to improve the quality and effectiveness of their customer interactions. The KAI platform supports multiple languages, integrates with enterprise systems, and enables large organisations to understand and improve the impact of their … pharma commercial context. That judgment is what separates a correct-looking chart from a finding a client can act on. You'll use modern AI tools (Claude, Copilot, ChatGPT) as core working infrastructure for analysis and reporting - and help make that work reliably and repeatably, so good analysis ...

engineering role: you read code and debug integrations with engineers rather than write production features. You connect the Java/Spring core and Python AI services, and explain the trade-offs to client CTOs. Your remit The solution You lead discovery workshops and translate client requirements into APIs, authentication, data … science or a related field, or equivalent experience. Useful to have, none required Private equity, investment or financial-services workflows Enterprise data governance and AI-governance conversations with regulated buyers AWS Solutions Architect or a comparable certification Daily use of AI coding tools such as Cursor or Claude Code, with ...

Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our website. Consulting is changing, and we’re not like other firms. Launched in 2019, Veeva … look towards 2030. We are seeking great people to help shape the future of the industry with the world’s leading software, data, AI, and expertise at their back. The Role As a Data Scientist in our EU Analytics practice , you will help customers bring treatments to patients faster ...

Dagster — and we’re working towards a governed semantic layer so trusted metrics are defined once and consumed everywhere: dashboards, self‐service tools, and AI assistants. This role exists to own analytical domains end‐to‐end. Defining their metrics in the semantic layer with stakeholders, data modelling … tooling (currently Tableau) with a tool‐agnostic mindset, and reduce duplicated or conflicting outputs. Curate and validate governed datasets and semantic models for AI/natural‐language consumption, acting as the accuracy bar for AI‐generated analysis. Champion healthy self‐service and data literacy heading in the directon of fewer ...

Lead Full Stack Engineer (TypeScript Python API) London/WFH to 125kDo you enjoy working with a range of programming languages and agentic AI You could be progressing your career as a Lead Full Stack Engineer at a massively profitable Private Equity firm that invest in businesses across the finance … tool for the jobYou have experience with cloud based environments e.g., AWS, Azure, Google Cloud, including designing scalable, secure data infrastructuresYou're comfortable with AI and Agentic programming, using it in your daily activities You have strong analytical and problem solving skills, with the ability to translate data insights into ...

Support development of report-focused views and semantic layers (business-friendly data models) to improve consumption and reduce duplication. Support launch and adoption of AI-enabled analytics tooling (e.g., Databricks Genie and other prompt-based AI-assisted analytics), including user enablement, curated data rooms, training coordination, and optimizing data views … AI tools. Review and triage incoming feature requests and new demand; clarify requirements and route work to the appropriate product and technology partners. Maintain and prioritize Jira items with Associate Product Owners and technology teams; assess readiness and sequencing; run and document Agile ceremonies (discovery, sprint planning, sprint review). ...

Lead Full Stack Engineer (TypeScript Python API) London/WFH to £125k Do you enjoy working with a range of programming languages and agentic AI? You could be progressing your career as a Lead Full Stack Engineer at a massively profitable Private Equity firm that invest in businesses across … have experience with cloud based environments e.g., AWS, Azure, Google Cloud, including designing scalable, secure data infrastructures You're comfortable with AI and Agentic programming, using it in your daily activities You have strong analytical and problem solving skills, with the ability to translate data insights into business impact ...

impact can you make in this role? In this role, you will leverage diverse datasets and apply quantitative and data-driven analytical techniques, including AI/ML, to provide actionable insights and recommendations at the single name and/or sector/country level. These insights will enhance our investment … developing insights for thematic/event-based strategies and portfolio optimization solutions. You will apply your skills and experience in data, quantitative, and AI tools and techniques, in close partnership with fundamental portfolio managers and analysts, so a genuine interest in fundamental investment debates — and ideally direct experience of them ...

execute a book of work, contributing to communities of practice and adoption of leading-edge technologiesSets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability … ensures consistent validation, security, resiliency, and reuse of proven patternsApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assetsRequired qualifications, capabilities, and skillsFormal ...

additional revenue through innovative technology. Since 2016, we've grown to support more than 400 partners across 75+ countries, with 12 offices worldwide. Our AI-driven technology integrates with online booking and sales platforms, helping businesses across travel, transport, hospitality, events and financial services offer more flexible, customer-friendly experiences. … experiments and turning commercial opportunities into reliable production systems. You’ll also contribute to our wider machine learning work, including risk modelling and agentic AI systems for refund decision-making and automation. This is a role for someone who enjoys both developing sophisticated models and putting them into production. ...

thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating insurance … leading the AI evolution in insurance For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook. We don't do things slowly ...

Lead the design and rollout of modern SRE patterns across trading systems, including automated remediation, self healing workflows, and resilience engineering. Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity … security requirements. Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Drive improvements in latency, throughput, and stability across high volume trading applications. Build ...

help leading aerospace and defence manufacturers transform how they design, build and deliver complex products. Combining deep sector expertise with strategy, engineering, data, AI and cloud capabilities, we turn ambitious manufacturing visions into measurable business outcomes. From defining smart factory strategies and accelerating production ramp-up, to deploying Industry 4.0 … agility. Develop compelling transformation roadmaps, operating models and business cases that secure executive sponsorship and investment. Lead multidisciplinary teams across strategy, manufacturing, engineering, data, AI, cloud and technology disciplines to deliver business outcomes at scale. Shape and oversee the deployment of Industry 4.0 solutions, including MES, Industrial IoT, AI-powered ...

core discovery engine. You will independently own and execute the machine learning strategy for major product capabilities—such as Search, Retrieval, Ranking, or Content AI—that power how millions of users discover and plan their travel itineraries. This Senior Machine Learning Scientist role bridges the gap between state … tweak, hybridize, and adapt existing state-of-the-art architectures to solve non-linear business problems. Experience with multi-task learning (MTL), ranking, Content AI stacks, Agentic AI etc is highly desirable. Technical Stack: Mastery of Python and deep learning frameworks (such as PyTorch, PyTorch Lightning, or TensorFlow) alongside familiarity ...

responsible for the engineering environment that a globally distributed engineering org relies on every day, from build and deploy systems to development tooling and AI-assisted workflows that help teams move quickly and confidently. Within DevEx, the Operational Excellence (OPX) team is the group that keeps production healthy at scale. … signals at the right time, and giving teams the visibility they need to stay in control of their services. We're also investing in AI-driven operational tooling and partnering directly with product engineering teams to strengthen their operational posture. You should apply if: You want to impact the industries ...

tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering … bring deep expertise in plasma physics and excel at working directly with customers, often on-site to build high-fidelity computational models integrated into AI tools that are both useful and used. We are seeking a skilled Senior CFD Engineer with expertise in plasma physics applied to semiconductor manufacturing, including ...

have broad Marketing Technology knowledge meaning you’re capable of shaping, selling and delivering Marketing Technology solutions to clients. You have an understanding of AI and Agentic AI tools and how these advances enable the acceleration of marketing services. You understand how to turn a set of business objectives into … digital media, data integration, data platforms, marketing automation, digital asset management, content management, and social media. You will help organisations unlock the potential of AI and Agentic AI by defining pilots, scaling approaches, and embedding AI into their marketing practices. You will have industry experience in one or of more ...

helping leading financial institutions reimagine how financial crime capabilities are designed, built and operated. As regulatory expectations evolve and emerging technologies such as AI, workflow orchestration and real-time data platforms reshape the landscape, we are looking for individuals who can help bridge the gap between financial crime risk … future-state solution designs and agile delivery approaches Support the development of product roadmaps, tracking dependencies, risks and delivery milestones Identify opportunities to apply AI, agents, automation and modern platforms to address financial crime challenges Contribute to transformation business cases and support the development of future-state financial crime visions ...