1,151 to 1,175 of 2,834 Generative AI Jobs in the UK

life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters … understand AI capabilities and limitations, building confidence through tangible proof points rather than theory. Research & Insight Development: Maintain awareness of developments across GenAI tools, AI-enabled services and public sector adoption trends, translating emerging capabilities into practical insights for clients and engagement teams. Client Delivery: Take ...

Senior Platform Architect**, you will serve as the technical strategist helping our largest enterprise customers and prospects unlock the full potential of the AI-powered **Zendesk Resolution Platform**. You will design and architect next-generation service solutions that drive measurable business outcomes, transforming traditional support centers into … engineers , account executives and business consultants to drive strategic discussions, effectively communicating complex technical architecture and solutioning along with the business value of AI to C-suite and director-level executives.* **ARR & Pipeline Impact:** Serve as a high-impact technical overlay resource, driving ARR through automated resolutions ...

Lead with insight. Drive data innovation. The Role We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful … stakeholder management skills with the ability to translate data insights into business value. Bonus Points For Experience in Banking or Financial Services. Exposure to GenAI, LLMs, and intelligent agent workflows. Experience with DevOps, CI/CD, and productionising ML systems. A passion for mentoring and developing early‐career data talent. ...

Описание Deloitte Operations is engaging with one of its clients. Задачи Build AI agents and multi-agent systems Fine-tune LLMs for smarter agents Evaluate a multi-agent pipeline using an LLM as a judge against ground truth Deliver AI solutions … evaluation frameworks Integrate agentic solutions on GCP, ensuring performance and security Требования Expert Python skills, including NumPy and Pandas Experience with AI agent design and frameworks such as ADK, LangChain, and AutoGen Strong background in ML, deep learning, and statistics Hands-on experience with LLMs and generative ...

technical role where youll take ownership from architecture and prototyping through to deployment, monitoring and continuous evaluation. Key responsibilities: Design and deliver production GenAI and multi-agent systems Build agentic workflows, RAG solutions, tool use and multi-step orchestration Define evaluation strategies and implement AI observability Design secure … prompt design, guardrails and responsible AI Key experience: 3+ years of software or machine learning engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda ...

analytics, risk, security, operations, finance, and business teams to explore product concepts, prototypes, APIs, platform capabilities, roadmap tradeoffs, and implementation considerations. Evaluate how AI or automation could improve a customer journey, colleague experience, internal product, analytics practice, documentation workflow, or team process while applying responsible AI … human-in-the-loop practices. QualificationsMinimum QualificationsDemonstrated interest in technology, product management, digital products, customer experience, AI-enabled products, data-informed decision-making, or enterprise platform concepts. Strong analytical and problem-solving skills with the ability to interpret data, evaluate information, identify patterns, form hypotheses, and develop clear ...

technical role where you’ll take ownership from architecture and prototyping through to deployment, monitoring and continuous evaluation. Key responsibilities: Design and deliver production GenAI and multi-agent systems Build agentic workflows, RAG solutions, tool use and multi-step orchestration Define evaluation strategies and implement AI observability Design … prompt design, guardrails and responsible AI Key experience: 3+ years of software or machine learning engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda ...

looking for an experienced Data Architects to join our Architecture team and lead the design and delivery of modern data and AI solutions on the Databricks Lakehouse Platform. You'll work across multiple enterprise engagements, partnering with customers to solve complex business challenges while collaborating with architects, engineers … AI specialists. You'll provide technical leadership from discovery through to production, helping customers build scalable, secure and governed data platforms. Alongside client delivery, you'll mentor colleagues, share knowledge and contribute to the continued growth of Unifeye. What You'll Do Design and deliver enterprise data ...

improvements, and automate recurring problems to strengthen operational stability. This role offers the opportunity to grow your technical influence, explore AI and GenAI patterns responsibly, and build a long-term engineering career within a firm that invests in its people. Job responsibilitiesLead delivery of complex features and services … opportunity, inclusion, and respectProduce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code developmentLeverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation ...

analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable … version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application ...

analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable … version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application ...

analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable … version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application ...

analytics, risk, security, operations, finance, and business teams to explore product concepts, prototypes, APIs, platform capabilities, roadmap tradeoffs, and implementation considerations. Evaluate how AI or automation could improve a customer journey, colleague experience, internal product, analytics practice, documentation workflow, or team process while applying responsible AI … date. Students must have a graduation date between December 2026 and June 2027.Minimum QualificationsDemonstrated interest in technology, product management, digital products, customer experience, AI-enabled products, data-informed decision-making, or enterprise platform concepts. Strong analytical and problem-solving skills with the ability to interpret data, evaluate information ...

analytics, risk, security, operations, finance, and business teams to explore product concepts, prototypes, APIs, platform capabilities, roadmap tradeoffs, and implementation considerations. Evaluate how AI or automation could improve a customer journey, colleague experience, internal product, analytics practice, documentation workflow, or team process while applying responsible AI … date. Students must have a graduation date between December 2026 and June 2027.Minimum QualificationsDemonstrated interest in technology, product management, digital products, customer experience, AI-enabled products, data-informed decision-making, or enterprise platform concepts. Strong analytical and problem-solving skills with the ability to interpret data, evaluate information ...

analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable … version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real-world problems where it provides clear benefit. Familiarity with statistical concepts and their application ...

About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform … platform. You’ll join a cross‐functional product and engineering team solving complex, high‐value problems for professionals across global debt markets, spanning AI‐powered workflows, financial data and analysis, transaction intelligence, document management, and other emerging product areas. You’ll help shape products used by teams ...

platform provider helping organisations build, secure and scale in the cloud, with offerings such as self-service platforms, governance, cost optimisation and AI accelerators. Partnering with public cloud providers, we work across the public and private sector to help customers build modern cloud platforms, embed platform engineering best … strategic accounts, leading engagements that solve real business problems through technology, from bespoke software delivery and systems integration to data platforms, analytics, and AI-powered products, and will ensure that Appvia becomes a trusted, long-term strategic partner. This is a multi-faceted, post-sales role blending technical ...

Lakehouse Platform. You'll work across multiple enterprise engagements, helping customers build scalable, secure and governed data solutions while collaborating closely with architects, AI specialists and client stakeholders. You'll play a key role in delivering production-grade data platforms that support analytics, machine learning and AI … Collaborate with architects and customers to translate business requirements into production-ready data solutions. Support integration with downstream analytics, BI, machine learning and AI workloads. Contribute to CI/CD pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential Strong commercial experience building ...

life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value the company’s collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what … understand AI capabilities and limitations, building confidence through tangible proof points rather than theory. Research & Insight Development: Maintain awareness of developments across GenAI tools, AI-enabled services and public sector adoption trends, translating emerging capabilities into practical insights for clients and engagement teams. Client Delivery: Take ...

systems that enhance player engagement and revenue, with a focus on progression, monetization, live events, and in-game economiesIdentify opportunities to use AI to improve the player experience, engagement, personalization, content, and live operations of Paper.io2Take full ownership of specifications, timelines, and outcomes, ensuring smooth execution and high … fast paced environmentDeep passion for F2P mobile games and curiosity about what makes a game engaging and successfulStrong knowledge and genuine interest in AI, including generative AI, machine learning, LLMs, or AI agentsHigh standards. We need someone who pushes the product forward ...

seeking a Principal Customer Success Specialist - Gen AI to transform how organizations plan, execute, and operate their businesses through adoption of Amazon Quick and AWS's generative AI platform. This is a senior individual contributor role within the AWS Specialists & Partners (ASP) Customer Success … enterprises globally. Key job responsibilitiesStrategic Customer Transformation- Design and lead comprehensive "business execution" transformation strategies for enterprise customers adopting Amazon Quick and AWS Gen AI services, addressing process redesign, organizational capabilities, change management, and value realization through integrated frameworks and executive alignment. Offering Development & Scaling- Build repeatable transformation ...

platform engineering. Design and implement scalable data solutions leveraging Snowflake, Databricks, and modern data lakehouse architectures. Drive integration of AI/GenAI capabilities, including LLMs, RAG frameworks, AI Agents, and intelligent automation solutions. Architect event-driven systems using Kafka, Solace, and distributed caching technologies. Establish engineering … mentorship. Success ProfileThe ideal candidate combines: Strong Full Stack Architecture experience. Cloud and Platform Engineering expertise. Snowflake and Databricks leadership. AI/GenAI solution delivery experience. Strategic thinking with hands-on execution capability. Strong ownership, communication, and stakeholder management skills.------------------------------------------------------Job Family Group: Technology------------------------------------------------------Job Family: Applications Development ...

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. … believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models ...

Commercial Banking experience. Digital & Cloud-Native Architecture expertise. Microservices, APIs, and Event-Driven Architecture knowledge. Public Cloud experience (Azure, AWS, GCP). Agentic AI and Generative AI design & implementation. Intelligent Automation and AI-driven customer solutions. Strong business-facing stakeholder engagement. #J ...

implications. You’ll also bring: 10+ years of relevant industry experience, including at least three years in leadership roles. Recent, direct experience with AI-enabled software development lifecycles and the use of AI and generative AI in products, platforms or business processes. … software architecture, technology stacks, cloud and mobile computing, technical debt, functional and non-functional roadmaps, hosting, cybersecurity, databases, data and analytics, and AI/ML technologies. Experience assessing R&D organizations and software development practices, including testing, quality assurance and continuous integration/continuous delivery processes. A solid ...