4,701 to 4,725 of 15,060 AI Jobs in the UK

cultivating an inclusive team culture Collaborate with backend, platform, and SRE partners to deliver end‐to‐end solutions 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/Skills Hands‐on experience building production UIs with React ...

Location: This role can be based in Cambridge, UK, or Munich, Germany. We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors … scale, not just innovation - you'll have the platform (and sponsorship) to make it real. Own the transformation of translational and biomarker data into AI-ready, standardized data products that accelerate drug discovery and development. The role sits at the critical intersection of science teams (who generate ...

daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office/2 days remote Salary: Highly competitive salary + comprehensive benefits Requirements for Machine Learning Research Engineer: You will have … similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning/AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university ...

machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution, memory management, and backend integration. This role involves analysing, investigating, diagnosing, and resolving complex functional … integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Beneficial but Not Required Experience across every area below is not expected. Relevant knowledge ...

Vice President, Transformation, Readiness & Adoption Lead (Technical Program Manager) is responsible for leading the execution of AI-enabled operating model transformation initiatives across Production Management (Production Support). The role drives organizational readiness, adoption, process optimization, and value realization activities to ensure AI capabilities are successfully embedded into business … usual (BAU) operations. Operating at the intersection of operational excellence, program management, change management, and AI innovation, the VP partners with regional stakeholders, engineering teams, and business leaders to deliver sustainable transformation outcomes. The individual will play a critical role in identifying opportunities for AI integration, accelerating user adoption, optimizing ...

opportunities to improve operational stability through proactive monitoring, production support, troubleshooting, root-cause analysis, and automation of recurring issues. Drives adoption of enterprise-authorized AI-assisted engineering practices within the team to improve code quality, delivery speed, testing, troubleshooting, and operational outcomes, while ensuring validation, secure coding, peer review … front-end development frameworks. Prior exposure to ETFs, asset management, portfolio management, middle office processes, or broader financial services technology. Familiarity with enterprise-authorized AI-assisted software development tools and responsible AI use in engineering workflows, including validation of AI outputs for correctness, performance, and security. Experience working in globally ...

machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution, memory management, and backend integration. This role involves analysing, investigating, diagnosing, and resolving complex functional … integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Beneficial but Not RequiredExperience across every area below is not expected. Relevant knowledge or experience ...

Shape the Industry and Your Career At Cytora, now an Applied Systems company, our AI-powered platform is reshaping how insurers and brokers connect, decide, and grow across the global insurance ecosystem. We move fast, think big, and build things that matter. If you’re energized by meaningful innovation … Overview We’re looking for a Customer Business Analyst to join our Customer Success Team and help drive meaningful outcomes at the intersection of AI and insurance. You’ll collaborate with people who bring diverse perspectives, challenge each other to think bigger, and move together toward shared goals. Here ...

Senior UX Researcher to join their dynamic team. This is an exciting opportunity to contribute to a large-scale transformation programme focused on Agentic AI, initially targeting the complaints journey. The successful candidate will play a pivotal role in shaping AI-driven operational experiences and assessing their impact on both … skills with a knack for stakeholder management. Demonstrated business acumen and the ability to operate autonomously within complex environments. Desirable Experience Familiarity with Agentic AI, GenAI, or AI research. Previous experience in the financial services sector. Proficiency in using tools like Maze and Qualtrics. Exposure to service design principles. What ...

integration patterns that power the next generation of our enterprise data platform.You’llshape how data products, APIs, event streams, semantic models, analytics capabilities, and AI-native interfaces work together to deliver secure, scalable, and reusable solutions across the business. You’lllove this role if you enjoy solving complex architecture challenges … creating reusable patterns that accelerate delivery. This is a hands-on architecture role where your decisions will influence how customers, internal teams, applications, and AI-powered consumers interact with the Comply Data Platform for years to come. What you'll do Design end-to-end platform solutions that connect data ...

security challenges that come with our rapidly evolving use of AI. We're ahead of the curve when it comes to building with AI, so you'll get extensive exposure to new tools, integrations and systems - with the freedom to get involved in other technical projects as the business evolves. … hours working and travel to London will be required. Competitive Salary + Excellent Benefits Full Time | Permanent Focus: Infrastructure | Cyber Security | Cloud | AI Enablement Your Background/Skills: 3rd Line Engineering, IT Infrastructure, Cyber Security, Azure, Google Workspace, Networking, CrowdStrike, Cisco, VMware vSphere, Windows Server, Jamf, Intune, Incident Response, Cyber ...

Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future … processes Tech Enthusiasm: Strong passion for technology and a drive to continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment Containerisation ...

Senior UX Researcher to join their dynamic team. This is an exciting opportunity to contribute to a large-scale transformation programme focused on Agentic AI, initially targeting the complaints journey. The successful candidate will play a pivotal role in shaping AI-driven operational experiences and assessing their impact on both … skills with a knack for stakeholder management. Demonstrated business acumen and the ability to operate autonomously within complex environments. Desirable Experience Familiarity with Agentic AI, GenAI, or AI research. Previous experience in the financial services sector. Proficiency in using tools like Maze and Qualtrics. Exposure to service design principles. What ...

Manage the EMEA Enterprise marketing budget, tracking ROI against pipeline and bookings outcomes. Equip SDRs with relevant content and context to improve conversion. Leverage AI tools and methodologies to drive efficiency, personalise campaigns, and scale demand generation efforts. What You’ll Need to be Successful 10+ years of B2B marketing … demand generation and pipeline generation, including 3+ years in an Enterprise-focused role within EMEA. A forward-thinking approach, with the ability to leverage AI to drive efficiency, personalisation, and scale. Proven experience working with technology partners in a co-sell or partner-led demand motion. Demonstrated proficiency with enterprise ...

lifecycles. Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka). Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain or LlamaIndex). Active participation … startup and AI ecosystem, with a track record of public speaking, technical writing, or community contribution. About the job As a Customer Engineer in the UK/IE Startups & Scaleups Growth team, you will lead high-impact technical engagements with rapidly scaling, high-potential startups and VC-backed businesses. ...

Manage the EMEA Enterprise marketing budget, tracking ROI against pipeline and bookings outcomes. Equip SDRs with relevant content and context to improve conversion. Leverage AI tools and methodologies to drive efficiency, personalise campaigns, and scale demand generation efforts. What You’ll Need To Be Successful 10+ years of B2B marketing … demand generation and pipeline generation, including 3+ years in an Enterprise-focused role within EMEA. A forward-thinking approach, with the ability to leverage AI to drive efficiency, personalisation, and scale. Proven experience working with technology partners in a co-sell or partner-led demand motion. Demonstrated proficiency with enterprise ...

Native, Azure (AWS or GCP is fine), Kubernetes, Terraform & CI/CD APIs, microservices & event-driven architecture. Production ownership & modern engineering practices. Experience using AI - integrated into the SDLC. The environment is seriously modern: Java, React/TypeScript, React Native, AKS, Kafka, Temporal, Databricks, Terraform, ArgoCD/GitOps, Azure AI ...

eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems 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 acceleration … 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. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes ...

Pixel app distributed with every Pixel phone, the Google Store global eCommerce platform, our leading edge retail point-of-sale system, and AI-driven algorithms for customer lifecycle management. The Store team applies Google's AI to solve complex, real-world problems across our growing global footprint of online … brick-and-mortar storefronts. This ranges from AI-enhanced site operations to agentic AI shopping assistance, ensuring a seamless and intelligent experience at every touchpoint. The Store team is committed to providing team members with the opportunity to build their applied AI skillset, so that we may ultimately help ...

Native, Azure (AWS or GCP is fine), Kubernetes, Terraform & CI/CD APIs, microservices & event-driven architecture. Production ownership & modern engineering practices. Experience using AI - integrated into the SDLC. The environment is seriously modern: Java, React/TypeScript, React Native, AKS, Kafka, Temporal, Databricks, Terraform, ArgoCD/GitOps, Azure AI ...

Branch) AWS Skilling and Social Impact (SSI) offers AWS re/Start as a cohort‐based, workforce development training program that helps adults build AI and cloud skills, utilizes AWS certifications to validate those skills, and connects graduates with employment opportunities. The program is free to the learner and focuses … labs with real‐world scenarios, learners can gain the skills they need for entry‐level tech roles. AWS re/Start provides introductory AI/ML training for developers and prepares learners for job interviews through interview coaching, resume support, and professional skill sessions. Graduates of the AWS re/ ...

daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office/2 days remote Salary: Highly competitive salary + comprehensive benefits Requirements for Machine Learning Research Engineer You will have … similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning/AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university ...

improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging cloud technologiesLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. 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 SkillsFormal training or certification on software engineering conceptsHands ...

About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. … ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're hiring Technical Program Managers in London to run Encord's highest-stakes human data projects end to end — the work ...

About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. … ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're hiring a Quality Systems Lead to own how Encord measures the quality of the human data we deliver to frontier ...