701 to 725 of 18,054 AI Jobs in the UK

RoboyoAIis a category shaper in Applied AI and Agentic Automation. We help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes,productsand services. Our heritage is in scaled enterprise automation; our future isApplied AI andAgenticAutomation: autonomous agents, AI … process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clientsoperate. We are not here to sell AI theatre. We are here to turn AI intoworking systems, measurableoutcomesand repeatable transformation programs. ABOUT THE ROLE We are looking for an experienced Senior Automation Anywhere ...

RoboyoAIis a category shaper in Applied AI and Agentic Automation. We help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes,productsand services. Our heritage is in scaled enterprise automation; our future isApplied AI andAgenticAutomation: autonomous agents, AI … process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clientsoperate. We are not here to sell AI theatre. We are here to turn AI intoworking systems, measurableoutcomesand repeatable transformation programs. ABOUT THE ROLE We are looking for an experienced Senior Automation Anywhere ...

Lead Data Engineer Location: London - 4-day working week (Fridays off) Salary: £85,000-£90,000 THE COMPANY This fast-growing AI SaaS company helps organisations unlock the value of their first-party data through an innovative customer intelligence platform. Originally established as a consultancy, the business has evolved into … product-led organisation, working with enterprise clients across industries including retail, finance, travel and telecommunications to improve customer retention, engagement and commercial performance through AI-powered insights. With around 30 employees, the company is entering an exciting growth phase with multiple AI products already live and new solutions in development. ...

products and semantic layers Data quality, observability, lineage, metadata and cataloguing Data governance, security, privacy and access control MLOps and productionisation of analytical or AI services CI/CD, Infrastructure as Code and automated data testing Reliability engineering, FinOps and service transition Required experience: Leadership of data engineering delivery … data services or comparable platforms. Data Intelligence Platform, digital supply chain, logistics or defence data use cases. Event streaming, feature stores, MLOps or AI/ML platform engineering. Migration of sensitive enterprise data and integration with operational systems. Experience establishing a data platform team, engineering standards and reusable accelerators. Clearance ...

contribute to digital transformation initiatives within Finance, identifying opportunities to automate, streamline and enhance processes using modern digital tools, advanced analytics and emerging AI capabilities.Explore and deploy AI enabled solutions to streamline accounting workflows such as reconciliations, journal validation, reporting preparation and data quality controls.Drive the adoption of next‐generation … tools such as intelligent agents, RPA integrations, predictive models, and generative‐AI‐enabled reporting to significantly reduce manual effort and improve accuracy and speed within the Finance functions.Shape, digitally, financial planning processes including budgets, “rolling” forecasts, cashflow and FX exposure planning.Collaborate proactively with UK and international BMW Group partners, shared ...

meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping … Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences Experience applying AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations ...

shared and reused across the University. It aligns data capabilities, standards and architecture with wider University needs, supporting trusted data, digital services and emerging AI capabilities.About the role:We are looking for a Senior Data Architect to provide enterprise-level strategic architecture direction for Data and AI at King … supporting the University’s strategy and the effective and responsible use of data and emerging AI capabilities.Reporting to the Head of Information Architecture, you will contribute to Enterprise Architecture across Business, Data, Application and Technology Architecture. You will translate strategic priorities into target architectures, capabilities, roadmaps, principles and standards, helping ...

methodologies applied to patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine or statistics to enrich drug development decisions in close collaboration with internal and external partners.Job DescriptionMajor … communication of innovative exploratory analyses and algorithms, to facilitate internal decision makingYou will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.You will perform hands-on analysis of integrated ...

quality of advice across Europe. Monitor legal market pricing trends, client procurement expectations, competitor approaches, legal operations practices, and the impact of technology and artificial intelligence on legal service delivery, pricing models, and matter management. Provide training and coaching to partners, associates, and professional staff on pricing strategy, law firm … Word, Power BI, and financial reporting tools; experience with law firm financial systems (Aderant), pricing and matter management technologies, project management tools, SQL, and artificial intelligence technologies preferred. Knowledge of the European legal market, including client buying behavior, procurement processes, and regional pricing and matter management norms strongly preferred. Ability ...

pharmaceuticals and 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 … regulatory obligations such as DORA, the UK Cyber Security and Resilience Bill; Digital Trust - helping them govern emerging technology and security risk across AI, cloud and post-quantum cryptography. We also build security into major business change or transformation programmes and deliver regulatory and standards compliance programmes. Increasingly ...

aligned with industry best practices. You will act as a trusted technical advisor, leading the architecture of data platforms that enable advanced analytics, AI/ML workloads, data sharing, and operational reporting. Working across the full project lifecycle, you will define target-state architectures, data models, governance frameworks, and integration … data warehouse design, performance tuning, governance, and cost optimisation. Databricks Architecture: Design and implement Databricks lakehouse architectures, supporting large-scale data engineering, streaming, analytics, AI, and machine learning workloads. Assessment & Modernisation : Evaluate existing data estates and develop migration strategies to modern cloud data platforms, including Snowflake and Databricks. Data Modelling ...

shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes … cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares’ data platform for AI by providing the foundation for reliable, high-quality data. What You Will Do: Design and maintain enterprise data architecture frameworks, standards, and best practices. Develop ...

Functional Communication : Document complex technical architectures clearly and articulate system requirements, post-mortems, and engineering strategies effectively to both technical and non-technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self-service infrastructure tools, deployment templates … place for you. Skills, Experience & Personal Attributes Platform Experience : Demonstrable DevOps experience, with a proven focus on building software engineering platforms or AI/ML infrastructure. IaC Mastery : The successful candidate must demonstrate advanced proficiency in Infrastructure as Code (IaC), with a track record of building and maintaining complex cloud ...

shared and reused across the University. It aligns data capabilities, standards and architecture with wider University needs, supporting trusted data, digital services and emerging AI capabilities. About the role:We are looking for a Data Architect to develop and apply Data Architecture at King’s, with a particular focus … data pipelines and lakehouse/medallion architecture, with knowledge of technologies such as Microsoft Fabric, Purview, Azure and Python, and awareness of LLMs and AI-ready data patterns relevant to Data Architecture. Architecture Delivery: Experience working with Agile delivery teams, using SAFe or equivalent Agile frameworks, to translate Data Architecture ...

mechanistic modelling (e.g., PK/PD, QSP) to support decision-making from discovery through clinical development.You will contribute to departmental strategy, drive innovation in AI-augmented modelling approaches, and ensure the proactive use of data science and in silico methods to guide compound progression, prioritization, and clinical decision-making.This role … reports to the Head of Data Science in the PKS M&S team within Translational Medicine in Biomedical Research.Job DescriptionKey responsibilities:Shape and advance AI-driven MIDD by integrating mechanistic modelling and machine learning to bridge biology and clinical outcomes.Design and implement hybrid modelling pipelines where mechanistic simulations generate features ...

modelling (e.g., PK/PD, QSP) to support decision-making from discovery through clinical development. You will contribute to departmental strategy, drive innovation in AI-augmented modelling approaches, and ensure the proactive use of data science and in silico methods to guide compound progression, prioritization, and clinical decision-making. This … Head of Data Science in the PKS M&S team within Translational Medicine in Biomedical Research. Job DescriptionKey responsibilities: Shape and advance AI-driven MIDD by integrating mechanistic modelling and machine learning to bridge biology and clinical outcomes. Design and implement hybrid modelling pipelines where mechanistic simulations generate features ...

improving reliability, scalability, security, and operational excellenceMentor junior engineers and influence the team’s technical direction through standards, reviews, and knowledge sharingUses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security … requirementsApplies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectationsRequired qualifications, capabilities, and skillsDegree in Computer Science or a STEM-related field (or equivalent)Demonstrated experience delivering ...

with macOS or Linux endpoint tradecraftExperience with Kubernetes, Docker, CI/CD platforms, DevOps environments, or containerised workloadsExperience with physical securityExperience with employing modern AI tooling to support offensive engagementsThreat intelligence, detection engineering, or incident response experienceExperience writing blogs, presenting at industry events, publishing research, or contributing to offensive security ...

communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. … engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture’s Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture ...

communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. … engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture ...

data exploration tools.Collaborate with statistical programmers and statisticians, and clinical reporting teams to understand requirements and translate them into efficient, reproducible code and tools.Apply AI responsibly to support product design and development focusing on reliable, explainable, and impactful use in development workflows and solutions.Drive the rollout of tooling through demos … Shiny app development and deployment.Deep experience in software development best practices (virtual environments, git, CI/CD, code review etc.)Hands on experience applying AI and agentic approaches to improve developer productivity of data-driven applicationsSolution-oriented mindset with a collaborative spiritGood written EnglishDesirable requirements:Good understanding of drug development ...

future state for a range of solutions. Increasingly, much of what we are doing is developing architectures that enable organisations to deploy and operationalise AI models. This is, obviously, an ever‐changing market, and you’ll be front and centre of supporting on RnD and performing horizon scanning. Key responsibilities … crucial that you are a critical thinker. Much of what you will be doing will be focused on future focused technology, leaning into AI Architecture, and designing solutions that support the delivery of AI models. Within this role, you will be expected to perform a number of tasks: Define ...

highly skilled Senior Data Engineer to become part of our core Enterprise Data Engineering team. You will be a senior member of the larger AI, Data and Innovation organization, responsible for designing and expanding enterprise-level data infrastructure that enables ZoomInfo's internal teams to interact with data comprehensively.The ideal … exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems.This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms ...

product areas that span the horizontal layers of our platform: data infrastructure, fund analytics, cross-asset reporting, workflow automation, and emerging capabilities such as AI-assisted due diligence and document intelligence. The AVP will operate at the intersection of investment operations, technology, and business strategy, making this an ideal role … horizontal platform capabilities serving all private markets asset classes - including core data services, cross-fund analytics, workflow automation, and API infrastructure. Lead initiatives in AI/ML-enabled product features, including document extraction (e.g., fund documents, LP agreements, investment memos), NLP-powered search, and intelligent alert systems. Own the investor ...

RoleAs a Data Science Manager at National Grid, you’ll lead a high performing team while staying hands on — delivering impactful projects, building AI models, coding, and turning data into clear, actionable insights. You’ll work in a fast paced, collaborative environment where the challenges are varied, the problems … inspire a team of talented Data Scientists, helping them grow their skills while driving high impact work across the organisation.Build advanced analytics and AI solutions using machine learning, statistical modelling, forecasting, and simulation techniques to solve complex, real world challenges.Unlock the power of data by bringing together information from multiple ...