1,776 to 1,800 of 7,065 AI Jobs in the UK excluding London

solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Personal loans are the fastest-growing consumer credit product in the US - originations increased 26% last … build the tools that make their work better The team spans our London office, European remote engineers, and our Arlington, Virginia office near DC. AI at Lendable - we're serious We want to build the most AI-forward financial services company in the world. Our PMs don't just manage ...

effectiveness Champion the adoption of agile methodologies and technical solutions, fostering a culture of continuous learning and innovation within the team Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs … handling data according to sensitivity requirements Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards. Required qualifications, capabilities, and skills Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling ...

continuous improvement and sound risk management, driving process optimisation initiatives while empowering the wider team. Furthermore, you will have the autonomy to champion AI-driven process optimisation, ensuring our business scales effectively through smart technology. What you'll do Establish Frameworks & Standards: Define and implement frameworks for process documentation … excellence tools and methodologies. Influence Stakeholders: Actively influence and constructively challenge senior stakeholders and Product Owners across the business to safeguard process integrity. Drive AI Optimisation: Actively experiment with and refine how process maps are structured, ensuring unstructured business data is formatted so LLMs and AI querying tools can parse ...

engineering sub-teams focused on the delivery of epics by transforming requirements into stories and a build plan. 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. Provide out of hours application support and coordination of Production releases. Required qualifications ...

good understanding of ecommerce strategy. Be confident questioning and challenging assumptions where appropriate. Work effectively with marketing, brand teams and senior stakeholders. Use AI tools appropriately to support efficient and effective development. Key Responsibilities: Take responsibility for the technical development, performance and ongoing maintenance of multiple Shopify websites. Develop … response to business requirements. Investigate and resolve technical issues efficiently, while proactively identifying potential problems before they affect the business. Make effective use of AI-assisted development tools to support faster delivery and high-quality development standards. Essential Requirements: Proven commercial experience developing ecommerce websites using Shopify. Strong working knowledge ...

management, and measurable continuous improvement. This role is accountable for establishing robust, scalable production flow lines, driving lean transformation across manufacturing operations, and embedding AI-enabled solutions to enhance productivity, quality, and decision-making. The position ensures safe, compliant, and cost-effective engineering support to manufacturing while safeguarding product integrity … actions. Improve yield, cycle time, and cost efficiency through data-driven process optimisation. Develop and maintain clear production engineering roadmaps aligned to business strategy.2. AI Adoption & Digital TransformationChampion the responsible adoption of Digitisation utilising AI where appropriate and data analytics within Production Engineering and Test. Identify and implement AI-enabled ...

building enterprise-grade applications and data access layers Strong understanding of REST APIs, cloud platforms, DevOps practices, and modern software development lifecycle processes. AI Agentic process engineering & skills Demonstrated ability to contribute directly in code, troubleshoot issues, and deliver production-ready software in a fast-paced environment. Experience with … strong interest in leveraging AI-assisted development tools, automation, and engineering productivity practices to improve SDLC efficiency and delivery outcomes. Excellent problem-solving, communication, and collaboration skills. Ability to work effectively in a fast-paced, agile environment with a strong sense of ownership and execution. At BNY, our culture allows ...

candidates must be UK-based with full right to work in the UK. Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform … World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment. ...

strategy. Develop and enhance security policies, standards, and procedures across the organisation. Manage the information security risk program, maintaining a comprehensive risk register. Oversee AI/ML security risk management, including the development of policies for generative AI technologies. Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber … financial services, FinTech, or payments sector preferred. Familiarity working with financial crime, fraud, and AML functions. Experience managing risks associated with emerging technologies like AI/ML. Desired Certifications: CISSP (Certified Information Systems Security Professional) highly desired CISM, PCIP, ISA, or QSA qualifications are advantageous. Skills: Strong leadership and mentoring ...

Markets and the wider Financial Services market, supporting clients in areas such as journey to cloud, digital transformation in underwriting and claims, applications of AI and GenAI, and large-scale platform re-platforming. Our operating model is built around six functional pillars – Solution Architecture; Enterprise Architecture & System Design; ML, AI … will: Contribute across all six of our functional pillars on client engagements – with a particular focus on Applications, Integration and Data as well as AI, Cloud and Cyber Security – and grow toward becoming a future pillar specialist. Help define and deliver enterprise and solution architecture artefacts (current-state, target-state ...

Office team. About the Role As Agentic Platform Engineer, you will be responsible for building and operating the enterprise agentic engineering platform that enables AI agents to safely plan, reason, use tools and execute work across Travel Counsellors' technology estate. This is an agentic engineering role with strong Platform foundations. … runtime services, model routing, memory, identity and policy enforcement. Develop reusable agent frameworks, SDKs and patterns that enable engineering teams to build secure, scalable AI agents consistently. Engineer autonomous and human-in-the-loop agent workflows that plan, execute, validate and elevate tasks within defined risk and governance controls. Integrate ...

Markets and the wider Financial Services market, supporting clients in areas such as journey to cloud, digital transformation in underwriting and claims, applications of AI and GenAI, and large-scale platform re‐platforming. Our operating model is built around six functional pillars – Solution Architecture; Enterprise Architecture & System Design; ML, AI … Responsibilities Contribute across all six of our functional pillars on client engagements – with a particular focus on Applications, Integration and Data as well as AI, Cloud and Cyber Security – and grow toward becoming a future pillar specialist. Help define and deliver enterprise and solution architecture artefacts (current-state, target-state ...

solve issues quickly to avoid financial losses Documents and shares knowledge within your organization via internal forums and communities of practice 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. Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering ...

want to help leading organisations launch world class human-centric products that re-imagine experiences with digital, data, AI and technology at their core? Then come and join our Accenture Song team. Our team accelerates growth and value for our clients through sustained customer relevance. We are a bold … engineering for mobile or web platforms, with deep experience in modern frameworks and performance optimization. You'll bring hands-on experience with generative AI technologies and understand how to apply them to enhance product experiences. Consulting experience is also key — you'll be comfortable engaging with clients, shaping solutions ...

impactApply deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the teamDrive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational … readiness), ensuring traceability, auditability, resiliency, and security controlsUse 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 and security requirementsRequired qualifications, capabilities, and skillsFormal training or certification on site reliability engineering concepts ...

deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the team Drive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational … readiness), ensuring traceability, auditability, resiliency, and security controls Use 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 and security requirements Required qualifications, capabilities, and skills Formal training or certification on site ...

Design, implement, test, and maintain backend services and prototypes in Python. Work from prototype/research outputs to production-ready components alongside ML/AI researchers and SREs. Participate in live coding/problem-solving rounds during development and code reviews. Collaborate closely with product managers and researchers to translate … experience (flexible; equivalent experience or strong demonstrable ability considered). Desirable (but not required) Experience with Kubernetes or container orchestration. Exposure to ML/AI projects, data pipelines, or research-driven engineering. Experience with observability tooling, CI/CD, and testing best practices. Degree in Computer Science, Engineering, or related ...

Select how often (in days) to receive an alert: Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data … systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris. About the practice At Atos, we deliver mission-critical digital ...

help in designing, developing and managing cloud platform provisioning solutions with a primary focus on GCP, while driving infrastructure automation, Kubernetes platform engineering, and AI‐assisted DevOps practices. Location: Glasgow. Hybrid Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Key Responsibilities Design, implement and maintain platform provisioning … using Python and Terraform to streamline infrastructure provisioning and operational processes. Implement and enhance automated deployment pipelines for cloud infrastructure and platform services. Leverage AI‐assisted coding tools such as GitHub Co‐Pilot and Claude Code to improve development efficiency and code quality. Drive automation initiatives to reduce manual intervention ...

engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes … Event Management, Infrastructure Discovery/Mapping or any complementary technologies such as Generative AI. Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI ...

problems, challenge existing approaches and help shape how we build technology, you’ll fit right in. We’re transforming our architecture and embracing AI-assisted development, giving our engineers the freedom and tools to move quickly, experiment and build better solutions. The Role As our Senior Information Security Analyst … joiner/mover/leaver processes. Supporting periodic access reviews and recertification. Providing security input into cloud architecture, network segmentation, logging and encryption. AI & Emerging Talent Assessing the security implications of new and emerging technologies, including AI and machine-learning tools. Helping ensure appropriate data-handling safeguards and human oversight ...

Build and enhance Linux-based edge computing systems. Integrate software with cameras, sensors, and other hardware systems. Evaluate and adopt modern development tools, including AI-assisted development workflows where appropriate. Contribute to technical architecture, system design, and engineering best practices. Required Skills & Experience Proficiency in C and C++. Experience developing … processing and streaming technologies. Cloud platform development and deployment experience. Experience building cloud-connected edge devices. Exposure to real-time systems. Practical use of AI-assisted development tools and LLMs within software engineering workflows. This is an opportunity to work on genuinely varied and challenging projects where your contribution will ...

will identify, source, structure, and model data within Google Cloud Platform (GCP), primarily using BigQuery, to create high-quality datasets that underpin analytics, AI initiatives, and business decision-making. The emphasis is on data discovery, data architecture, and data modelling rather than Spark development, dashboard engineering, or visualisation work. Responsibilities … implement, and maintain robust logical and physical data models within GCP BigQuery. Develop scalable data structures and data integration approaches that can support future AI, machine learning, and advanced analytics capabilities. Ensure data quality, consistency, governance, and integrity across multiple enterprise data sources. Support data mapping, transformation, and optimisation activities ...

days per week) | £60,000 - £65,000 + Benefits | Sponsorship Not Available An exciting opportunity to join a leading global data and AI consultancy, working with high-profile enterprise clients to solve complex business challenges through analytics. This role offers a blend of hands-on data analysis, stakeholder engagement … making it ideal for someone who enjoys turning data into commercial impact. The Company They are a global consultancy specialising in data, analytics, and AI solutions for large international organisations. Their teams help businesses make smarter decisions by uncovering insights from complex datasets and translating them into actionable recommendations. With ...

trustworthy tables, and define the metrics and business concepts so that how we are doing means the same thing to everyone, and so that AI can query our data safely. The first and most important outcome is a reliable, queryable view of customer and site performance against contracted SLAs … business: deployment and billing readiness, finance, product usage and operational efficiency. This is a senior, hands‐on role for someone who is data- and AI‐automation savvy, can make the big architectural calls and still ship, and can navigate the genuinely hard part: getting the business to agree on what ...