751 to 775 of 9,587 AI Jobs in the UK

support of the firm’s business objectives. You will work on challenging Cloud‐native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands‐on Engineering role. Experience with data science/ML modeling is advantageous … backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Drives adoption and governance of approved AI‐assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test acceleration, release readiness ...

Audit Through Data & AIOur client is looking for an experienced Audit Data Analytics Senior Manager to lead the continued development of data analytics and AI capabilities within their audit practice.This is a fantastic opportunity for someone who enjoys combining technical expertise with strategic leadership, helping audit teams embrace innovative technology … management of the Audit Data Analytics team.Provide specialist data analytics support on complex audit engagements.Drive the development and adoption of AI and Generative AI solutions to enhance audit delivery.Design and implement innovative data analytics tools and automated workflows.Embed data analytics into audit methodology to improve consistency, quality and efficiency.Develop learning ...

This is a hands‐on engineering role for someone who enjoys working across the whole stack and is equally comfortable building conventional services and AI‐enabled features. You will work alongside architects, product stakeholders and delivery partners to ship software that brokers and analysts use every day. Key Responsibilities Build … infrastructure‐as‐code. Data‐Driven Features: Consume data through APIs and services to surface it in usable, performant ways for brokers and analysts. AI‐Enabled Development: Build AI‐enabled product features using patterns such as retrieval‐augmented generation, tool and API integration, evaluation and human‐in‐the‐loop design. AI ...

play a key role in shaping how data is built, used, and trusted across the company - from our core platform through to analytics and AI-native applications. This is both a technical leadership and people management role. You will mentor the team, drive execution, collaborate cross-functionally, and contribute … them into robust, scalable solutions. Promote data-driven practices across teams, providing guidance and technical enablement. Work effectively across distributed, international R&D teams. AI & Data Applications Lead the team in designing, optimizing, and evaluating AI prompts and data-driven applications; drive structured experimentation across models, prompts, and architectures. Take ...

About the company the company is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With … company's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by the company's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest ...

into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with … right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative ...

oversee the day-to-day operation of the market data function, supporting vendor management, licensing, governance, reporting and inventory management while leveraging AI and Python to improve efficiency and scalability. This position offers excellent visibility across the organisation, exposure to senior stakeholders and the opportunity to help shape a modern … firm's market data strategy across multiple regions and business lines. This is a genuinely hands-on position where you'll use AI, automation and lightweight Python development to streamline workflows, improve reporting, enhance vendor analytics and strengthen governance across the firm's market data estate. You'll work closely ...

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate … time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) PLEASE NOTE: Our policy ...

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 … with modern data architecture, platforms and governance. You will define how data – across a client’s business – is structured, governed, and served so that AI, analytics, and management reporting are reliable and scalable. As a Senior Manager, you will lead architecture decisions, guide engineers, shape client data strategy, architecture, governance ...

defaults and great developer experience. A defining part of this role is preparing our infrastructure for a future (or present) where some “engineers” are AI agents. You will design platforms, guardrails and interfaces that let both human engineers and autonomous AI agents provision, operate and optimise infrastructure safely … will use AI agents heavily yourself to automate and optimise day‐to‐day platform work. Security is central, not an afterthought. You will help drive a zero‐trust approach across identity, network, workloads and data, ensuring the platform is secure by default for humans and machine/agent identities alike. ...

passionate about shaping the future of data and AI on modern cloud platforms? Does the idea of working for different public sector and regulated clients on complex, business-critical projects excite you? If yes, then read on! We are looking for an experienced Data Platform Architect to play a pivotal … role in shaping data and AI capabilities for our clients, with deep expertise in AWS and cloud-native data, analytics and AI platforms across the data value chain. This is a senior role for someone who can set architectural direction, advise senior stakeholders and lead delivery teams, while integrating machine ...

operate across both environments, supporting the reliability, scalability, automation, and security of our Digital Engagement products while helping to build and industrialize the AI Platform. This is a hands-on role for someone who enjoys improving developer productivity, strengthening cloud and container platforms, and enabling high-availability, production-grade services … regulated industry. Responsibilities Design, build, maintain, and improve cloud and containerized infrastructure supporting both Digital Engagement products and the SBS AI Platform. Define, implement, and optimize CI/CD pipelines to accelerate delivery, improve software quality, and support reliable releases across multiple environments. Contribute to infrastructure-as-code, environment standardization ...

keep delivery aligned with client outcomes. Raise the delivery bar for execution, quality, pace, maintainability and cost discipline. Ship production data science and AI systems Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large‐scale content processing. Own technical design and architecture … easy to operate. Productionise delivery with DevOps and MLOps, automating deployment in AWS and putting evaluation, monitoring and provider‐routing controls in place so AI outputs remain reliable and cost‐effective. Scale practical AI adoption Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost ...

opportunity to grow your career, give back to your community and make a real impact. Job Overview Help shape the next generation of AI-powered products in Markets! Technology. Join a small, high-impact engineering team in the company Markets Technology building greenfield Generative AI products that cut across asset … classes and push beyond proof-of-concept into real production value. We are looking for AI-first engineers who are excited not just by using the latest LLMs, agents, and emerging design patterns, but by applying them with strong engineering discipline, sound judgement, and a relentless focus on quality. ...

related technologies Advocate for and implement firmwide frameworks, tools, and practices within the Software Development Life Cycle Promote adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed Encourage diversity, inclusion, and respect within the team culture Apply knowledge of automation tools and AI … Hands-on expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise-authorized AI-assisted software development tools Strong understanding of responsible AI ...

responsible for identifying opportunities to improve data quality, streamline processes and deliver innovative automation solutions. You'll also support the ongoing development of AI-enabled tools and contribute to the organisation's transition towards Oracle Fusion. The Role As MDM Materials Data Improvement Analyst, you will work across a range … help shape the future of Materials Master Data services through the use of technology, analytics and continuous improvement methodologies. Key responsibilities will include: AI & Digital Innovation Develop and maintain AI-powered support solutions for materials and inventory management processes. Build and enhance Copilot agents to support business queries and user ...

company, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts … deliver modern cloud platforms, from cloud foundations and modern provisioning to migration and modernisation strategies, as well as cloud-native, data-driven, and AI-enabled solutions that meet business needs by applying the most appropriate cloud deployment models and Google Cloud services for each case. You will have the opportunity ...

responsible data use Work collaboratively with Technical Engineers, Product Owners, and Solution Architects Requirements A minimum 3 years in data science, analytics, Agentic AI, machine learning or modelling is essential Proficiency in data analysis, customer analytics, building and validating models for forecasting, pricing, and segmentation and visualisation tools (e.g. Agentic … AI, Machine Learning, Python, SQL, SAS, Power BI, Tableau) Experience with cloud-based data platforms (e.g. GCP native tools) Unafraid to challenge the status quo, have an intellectually curious outlook, where you seek to innovate and adapt quickly from setbacks. Apply product led thinking to reporting and analytics initiatives, ensuring ...

Azure services Developing bespoke solutions using C#, SQL, JavaScript, Python and related technologies Supporting reporting, data warehousing and analytics requirements Applying practical understanding of AI and LLM-based solutions to improve business processes Introducing AI-enabled capabilities within agreed governance and compliance frameworks Identifying opportunities where AI or automation ...

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. … infrastructure teams to shape the direction of the platform. Ideally you'd have: 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent ...

Product to design and deliver scalable, high-quality software that makes a real impact. If you're passionate about building cloud-native applications, embracing AI-assisted development tools and working in a collaborative environment where your ideas are valued, we'd love to hear from you. What … native solutions across both single-tenant and multi-tenant architectures. Collaborate closely with Product to translate complex business requirements into robust technical solutions. Leverage AI engineering tools, coding assistants and automated workflows to improve productivity and code quality. Contribute to AWS cloud infrastructure, monitoring and operational excellence using services including ...

building new automated ways to find the problems that impact customers and the bank and stop them before they spread. Leveraging analytics, automation and AI-enabled tooling, we’re moving away from manual controls towards scalable automated systems and controls that can proactively detect problems and improve customer outcomes. This … highly visible area for Zopa, with strong backing from senior leadership and real opportunity to shape how analytics, automation and AI are used to solve real business problems. You’ll work across Product, Analytics, Engineering and Risk to understand how processes actually work, where data lives ...

Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation … passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer ...

Azure services Developing bespoke solutions using C#, SQL, JavaScript, Python and related technologies Supporting reporting, data warehousing and analytics requirements Applying practical understanding of AI and LLM-based solutions to improve business processes Introducing AI-enabled capabilities within agreed governance and compliance frameworks Identifying opportunities where AI or automation ...

join its central data team. This role will focus on designing, building, and maintaining data products that enable trusted reporting, analytics, and advanced AI initiatives. Working closely with analysts and business stakeholders, you will transform complex requirements into scalable, well-governed data solutions. Key Responsibilities Design, build, and maintain data … governance standards. Contribute to data quality improvement, monitoring, and issue resolution activities. Collaborate with wider data teams to support machine learning, predictive analytics, and AI use cases. Follow established deployment, governance, and change management processes. Requirements Experience delivering data engineering solutions within a large-scale or enterprise environment. Strong ...