2,476 to 2,500 of 4,467 AI Jobs in London

Reward Business Partner - Data Centres London About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud … core. Highly competitive compensation package (base + bonus + equity), with performance reviews every 12 months. Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. Expect a dynamic progression plan tailored to your ambitions. Grow by leading ...

this role, you will provide technical leadership for native search and discovery experiences, setting architectural direction, influencing engineering standards, and shaping the evolution of AI-enabled capabilities across the mobile platform. In this role, you will: Architect, design, and deliver advanced Android mobile solutions, ensuring scalability, performance, and maintainability across … with internal and external services. Mentor and guide mobile engineers across teams, fostering technical excellence, code quality, and knowledge sharing. Safely integrate and operate AI/ML-enabled solutions that improve mobile user experiences and business outcomes. Collaborate with product, design, and engineering stakeholders to deliver innovative mobile features ...

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just … trusted advisor throughout delivery. At the center of everything is the customer: understanding their transformation goals, meeting them where they are in their AI journey, and building the kind of trust that makes Parloa the partner they call first. That includes working closely with our Partner Delivery Success team ...

C++, or Java, and scripting languages such as Python, Javascript, or HackExperience building large-scale infrastructure applications or similar experienceDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk … assessment, bias mitigation, quality and accuracy reviews)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. ...

tenant SaaS platforms (provider‐scoped data, API key auth, webhook delivery). Track record of migrating monolithic systems to microservices while keeping production running. AI‐augmented engineering (required mindset) We expect every engineer at Share to use AI tools as a daily part of their workflow. This is not optional … aspirational — it is how we operate. Our entire project planning, specification, and documentation process runs through AI‐assisted sessions. Our codebase includes AI‐readable context files. We use Claude for architecture decisions, code review, spec generation, and technical writing. What this means for you: You already use AI coding assistants ...

small, high-performing team with ownership over one of the most important parts of the company as we define the future of enterprise AI software. What we're looking for We're looking for a software engineer with strong infrastructure and platform engineering experience. You'll likely have: Experience building … very few companies get the opportunity to design from scratch. If you're excited about building software that enables the next generation of enterprise AI products and doing it across every major cloud platform, we'd love to hear from you. Our tech stack We're building with tools that ...

chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt. We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies … blocks: the core decisions that determine how Normal's silicon actually computes, working directly with our Systems Architect, research and engineering leadership, and the AI platform team whose tools you'll use to design it. This is a seat for someone who wants to define structures that no prior ...

role works cross-functionally with Deal Desk, Sales Operations, Finance, FP&A, and divisional commercial leaders across Property & Casualty, Life & Pension, Reinsurance, and the AI platform business. Sapiens is undergoing a significant commercial transformation, moving from a licence-and-services model to a subscription-led, SaaS-first business with AI … uplift strategy, grounded in data-driven logic, and oversee its modelling and rollout. Lead the commercial modelling of services revenue impact arising from the AI platform transition. Design the pricing governance framework, setting the intake, SLA, approval, and exception standards, with day-to-day running of the workflow owned ...

powered by a performance marketing engine spending at serious scale across paid social and beyond. We move fast, test constantly, and are aggressively integrating AI across our entire growth stack. Our team is vibrant, fast-moving, and customer-driven where high-performers are valued and rewarded. … move from research and hypothesis to page structure, copy direction, build, launch and analysis—then use what you learn to produce the next iteration. AI is a core part of how we expect this function to operate. You will use it to synthesise customer insight, critique existing pages, develop ...

pure-play, experience-led CFO advisory firm providing integrated finance, commercial, tax and deals support. We are free from audit conflicts and AI-enabled by design, combining deep technical expertise with automation, analytics and AI built into the delivery of every engagement. We are building an alternative to traditional advisory … ensuring solutions are practical and built to last. Lead delivery of cloud ERP and EPM implementations, automation programmes, data platforms and AI-enabled analytics solutions. Take accountability for project commercial management — scope, budget, resourcing and risk — across engagements. Lead executive workshops, steer steering committee updates, and present findings and recommendations ...

between EF locations may be required. The Opportunity EF English Live is embarking on an ambitious transformation. We are building the capability to embed AI across our product, marketing, and operations — all while sustaining and growing our well‐established lead generation and telesales business and moving further into e‐commerce. … teams. A functioning e‐commerce capability live in priority markets, integrated with Salesforce, payments and customer operations, while preserving telesales performance. AI‐enabled capabilities deployed across key customer, commercial and operational journeys, delivering measurable improvements in conversion, revenue and/or cost‐to‐serve. A stable, high‐performing technology organisation ...

Analytics across Product Analytics, Marketing, Business Analytics, and Data Science, ensuring the team is focused on Preply’s highest-impact growth, marketplace, learning, and AI-enabled opportunities Lead and scale a high-performing organisation of around 35 people today, growing to 40–45, with clear expectations for quality, impact, leadership … ways of working for trusted metrics, consistent decision-making, high-quality analysis, and strong collaboration with Data Platform, Analytics Engineering, Experimentation, and Applied AI teams. Lead AI-powered self‐serve analytics to turn trusted metrics, analysis workflows and business context into AI‐enabled data products, helping the business use data ...

action. An active participant in technical discussions, contributing with insightful and informed opinions to the decision making process. 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 Formal training or certification on software engineering concepts ...

apply causal inference to guide product decisions. You will develop ML models, build scalable data pipelines and dashboards, mentor teammates, and ensure responsible AI practices while influencing roadmaps through data storytelling. #J-18808-Ljbffr ...

with third-party development and data teams based in India, keeping delivery on track Oversee infrastructure across capacity planning, priorities and ongoing improvements Bring AI tooling into the team to support delivery and increase capacity Provide budget input and manage risk across the function Work closely with a team … pipelines Strong stakeholder management, able to bridge technical and business priorities Solid understanding of infrastructure environments Strong background in Azure, DevOps and Power Platform AI experience highly desirable, specifically around governance and controlled implementation rather than just usage Genuinely hands-on approach, able to get into the detail Research indicates ...

platform, balancing technical excellence with the kind of team leadership that actually moves things forward. You’ll be solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Location: United Kingdom What You’ll Do Lead and mentor a team of Forward Deployed Engineers … premises environments. Take ownership of customer success from technical implementation through delivery. Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises. Build relationships with technical stakeholders on the customer end. Foster a culture of continuous improvement and innovation, focusing on bringing agentic solutions ...

Manager - Data and Analytics in London to lead large data transformation programs for financial services clients. You will advise on data governance, risk, and AI-enabled analytics, managing senior stakeholder relationships and delivering complex solutions across regulatory and technical dimensions. Role requires flexibility to travel for client engagements, with ...

/Django Developer (Contract) £700-£750 per day (Inside IR35) | Remote | 6 months We're supporting a leading UK retailer as they scale an AI-driven pricing platform across Europe, and are looking for a Senior Python/Django Developer to support the next phase of delivery. This … driven environment on a high-impact, large-scale platform. The Role Develop and maintain backend services using Python and Django Contribute to a scalable AI pricing platform used across multiple markets Work closely with engineers, data scientists and product teams Write clean, maintainable and production-ready code Participate in agile ...

faster, more human-centred support. About the role As a Forward Deployed Engineer at Beam, you’ll be at the forefront of deploying our AI products into real-world environments where they can create meaningful social impact. Beam is transforming how social workers, clinicians and other practitioners operate, freeing them … internationally. You’ll be: You’ll work closely with frontline practitioners as well as internal teams to design, deploy and continuously improve AI-powered templates and workflows. Customer engagement & discovery Partner with frontline workers to understand their workflows, needs and challenges Run discovery and review sessions to gather insights ...

platform, including APIs and systems for scheduled reports and near-real-time campaign performance metrics. Our scope is also growing into the infrastructure behind AI agents. This role is based in our London office.\*\*What you'll do:\*\* Design, build, and operate backend systems supporting a high-traffic … performance and growth conversations, and participate in hiring.### Skills Required* Backend Systems* Web Platform* Data Platform* C#* .NET* SQL* GraphQL* REST APIs* Reporting Systems* AI Systems* Agentic Systems* Technical Leadership* People Management* Distributed Systems* Cloud* Physical Data Centers* Petabyte-scale Data* Machine Learning* Advanced Visualizations* Interactive User Interfaces* Operational Health ...

strategic goals and objectives for key clients of Capgemini in the rapidly transforming Global Business/Shared Service and Digital Transformation space (Generative AI, S4, and Platforms). As the face of Capgemini for C-level client stakeholders, this role is expected to generate market interest and excitement around … Offer Leader’s mission is to help our clients reinvent their GBS model. Primarily, this role will drive a technology and Gen AI transformation as a major force to deliver the next generation of services and business outcomes. The key success factors include people transformation, process excellence, technology adoption ...

involvement in sales cycles. Create trust‐based, long‐term customer relationships and deeply understand transactional databases (OLTP), along with data platform, data warehousing (OLAP), AI, app development and cloud market landscapes and trends, reporting on the forces that shift the strategic direction of accounts. Promote a solution‐, value‐, and technical … based field engineering organization focused on modern data architectures, operational workloads and AI‐native applications. Display an understanding of business needs and revenue potential for accounts in the assigned region. Build the company’ Lakebase brand across the market in partnership with Marketing, Product, and Sales teams. Partner closely with Product ...

associated institutions. Data Architecture within ISD enables UCL’s data-driven transformation. It delivers enterprise data architecture, integration standards, analytics platforms, and AI foundations supporting the UCL’s Data Strategy and Digital Strategic Plan. This is a fantastic opportunity to join UCL’s Information Services Division (ISD) as a Senior … Architect defines and governs enterprise-level data solutions across UCL. The postholder shapes architectural patterns, platform capabilities, data models, Fabric-based data products, and AI-enabled services, ensuring alignment with UCL’s enterprise data architecture blueprint and governance frameworks. You will lead solution design in close collaboration with senior stakeholders ...

across a portfolio that includes CRM continuous improvement, data enablement (first‐party data capture, upstream and downstream integration), sales content enablement, RFP and DDQ AI enablement, and digital distribution, spanning both Public and Private Markets businesses. What you’ll do Define and own the strategic direction of the Client Group … ensuring alignment to business priorities across public and private market business lines Drive a cohesive strategy to align business and technology , placing data and AI at the core of the platform to enable convergence, simplify operating models, and deliver scalable, value‐driven outcomes across Group Operations Lead the evolution ...

teams to spot and fix issues at the source Shaping the broader data & analytics strategy through smart, practical governance input Exploring new technology — including AI — to strengthen how data is managed and monitored Running training and awareness activities to lift data literacy across the bank Translating regulatory reporting changes into … data management or data quality — banking/financial services experience preferred Comfortable working with data catalogue and data quality tools, and curious about how AI can improve them A natural relationship-builder who can influence people who don't report to you Experience with regulatory data requirements is a strong ...