101 to 125 of 2,200 Artificial Intelligence Jobs in the UK excluding London

user experiences. Backend experience with NodeJS and AWS serverless services is beneficial. A keen interest or practical experience in Artificial Intelligence, particularly Large Language Models (LLMs), generative AI, or agentic coding tools, is highly desirable. Key Responsibilities: Design, develop, and maintain intuitive and responsive frontend applications using React, Redux, and TypeScript. Collaborate with backend developers, architects, and product … Mentor junior developers and conduct code reviews, promoting strong coding standards. Engage actively in agile development practices, contributing to sprint planning, stand-ups, and retrospectives. Explore opportunities to integrate AI and generative AI capabilities into the frontend experience. Skill & Experience Requirements: Bachelor's degree in computer science or related discipline; master's preferred. 6+ years in software development, primarily frontend. … Proven track record in developing and optimizing large-scale frontend applications. Experience with cloud-based software platforms and SaaS solutions. Demonstrable experience or strong interest in AI integration and generative technologies. Expertise in frontend development (React, Redux, TypeScript). Solid understanding of web technologies (HTML5, CSS3, responsive design principles). Familiarity with modern UI frameworks (Material UI, Tailwind CSS, or More ❯

stewardship across all departments. Work with the CIO, to recommend and implement a scalable and secure data foundation, enabling data democratisation and providing the basis for exploitation of emerging AI technology. Design and implement scalable data architecture, including data models, common data structures and nomenclature. Ensure seamless integration of disparate data sources from various business units to provide a single … platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools that facilitate data-driven decision making. … business to understand their data needs and deliver tailored solutions. Liaise with external partners, vendors and regulatory bodies to ensure the organisation remains at the forefront of data, analytics & AI innovation and compliance. Ensure data is used ethically and responsibly, providing a trustworthy foundation for AI applications. Skills, Knowledge and Expertise Bachelor's Degree in Computer Science, Data Science, Information More ❯

stewardship across all departments. Work with the CIO, to recommend and implement a scalable and secure data foundation, enabling data democratisation and providing the basis for exploitation of emerging AI technology. Design and implement scalable data architecture, including data models, common data structures and nomenclature. Ensure seamless integration of disparate data sources from various business units to provide a single … platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools that facilitate data-driven decision making. … business to understand their data needs and deliver tailored solutions. Liaise with external partners, vendors and regulatory bodies to ensure the organisation remains at the forefront of data, analytics & AI innovation and compliance. Ensure data is used ethically and responsibly, providing a trustworthy foundation for AI applications. Skills, Knowledge and Expertise Bachelor's Degree in Computer Science, Data Science, Information More ❯

stewardship across all departments. Work with the CIO, to recommend and implement a scalable and secure data foundation, enabling data democratisation and providing the basis for exploitation of emerging AI technology. Design and implement scalable data architecture, including data models, common data structures and nomenclature. Ensure seamless integration of disparate data sources from various business units to provide a single … platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools that facilitate data-driven decision making. … business to understand their data needs and deliver tailored solutions. Liaise with external partners, vendors and regulatory bodies to ensure the organisation remains at the forefront of data, analytics & AI innovation and compliance. Ensure data is used ethically and responsibly, providing a trustworthy foundation for AI applications. Skills, Knowledge and Expertise Bachelor's Degree in Computer Science, Data Science, Information More ❯

stewardship across all departments. Work with the CIO, to recommend and implement a scalable and secure data foundation, enabling data democratisation and providing the basis for exploitation of emerging AI technology. Design and implement scalable data architecture, including data models, common data structures and nomenclature. Ensure seamless integration of disparate data sources from various business units to provide a single … platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools that facilitate data-driven decision making. … business to understand their data needs and deliver tailored solutions. Liaise with external partners, vendors and regulatory bodies to ensure the organisation remains at the forefront of data, analytics & AI innovation and compliance. Ensure data is used ethically and responsibly, providing a trustworthy foundation for AI applications. Skills, Knowledge and Expertise Bachelor's Degree in Computer Science, Data Science, Information More ❯

SaaS platform. This role requires both strategic thinking and hands-on leadership. You will be accountable for engineering execution, people development, architectural decisions, and the integration of cutting-edge AI/ML technologies. You'll collaborate with product, design, and go-to-market teams to ensure alignment, delivery, and scalability. Why Join Us? You'll be part of a team … products from the ground up, with the opportunity to make an outsized impact on technology, people, and customers. If you're a builder with a passion for people and AI-driven innovation, we want to talk to you. What Are The Responsibilities? Personnel Leadership Lead and mentor an engineering team with regular 1:1s, clear goal-setting, and career development … CVs, and conduct interviews. Foster a culture of accountability, continuous learning, and operational excellence. Technical Leadership Participate in technical roadmap development and platform strategy with a focus on scalable, AI-powered infrastructure. Work closely with developers in backlog refinement, sprint planning, and daily technical guidance. Review architecture and code for quality, security, performance, and scalability. Train and coach developers in More ❯

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist/AI Engineer in Cheltenham. Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we … We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience … successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile More ❯

we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Software Engineering Manager, Backend to join the Consumer Generative AI team at Snap! What you’ll do: Lead a team of backend Software Engineers to evolve Snap’s consumer-facing Gen AI products, including Image AI Lenses, Video AI Lenses … and Gen AI features for Snapchat+ Collaborate with Product, Machine Learning, Engineering, Research, Data Science teams , and executive stakeholders to iterate on existing Gen AI products and launch new ones Facilitate technical planning, code reviews, and ensure high-quality code and operational standards across projects Evaluate the technical tradeoffs of major decisions and be a strong technical mentor Manage and … quick-to-market environment Hire, grow and retain high-performing team members Knowledge, Skills & Abilities: Experience setting the direction for customer-facing product teams leveraging Machine Learning/Generative AI Track record of delivery high availability ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments Strong management and mentorship skills, fostering a collaborative and innovative More ❯

enterprise technology with CFO priorities, driving financial transformation through architecture. You design and govern modern finance platforms-covering GL, AP/AR, Consolidation, Tax, Treasury, FP&A, Risk, and AI forecasting-ensuring compliance, cost optimization, and data-driven decision-making. Client Details The client is a UK provider of goods, across many industries. Description Finance Enterprise Architect - Role Overview As … enterprise technology with CFO priorities, driving financial transformation through architecture. You design and govern modern finance platforms-covering GL, AP/AR, Consolidation, Tax, Treasury, FP&A, Risk, and AI forecasting-ensuring compliance, cost optimization, and data-driven decision-making. Key Responsibilities Finance Systems Strategy (70%) Define target architectures for core finance functions (ERP, EPM, Treasury). Lead ERP/… experience. 8+ years in strategy, business analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies More ❯

of the future? Are you interested in working with the most esteemed research partners across Europe? Are you interested in questions like: How can we best enable high performance AI software stacks on supercomputers? How do we provide new environments/abstractions to support application developers to build, deploy, and run applications taking advantage of leading-edge hardware at scale … How do we manage modern supercomputers in an environment with novel job and data separation requirements, or even secure computing requirements in a supercomputing environment? The HPE HPC & AI EMEA Research Lab (ERL) is characterized by a unique blend of industrial research and tech development using Agile/Lean methodologies. Our Research Engineers are highly technical, team-thinking, communicative software … markets. We are: A dedicated international research team integrated inside one of the most established global companies in HPC. A group with varied expertise in many aspects of Computing, AI, and related disciplines. A unique blend of the best of both worlds - quality research and development of real software. Engaged in a variety of HPC-centric research projects, including Horizon More ❯

SeeChange is a dynamic startup revolutionizing Vision AI technology. With a team boasting over 436 years of combined expertise and €45 million in platform investment, they've secured 15 patents (and counting). Their mission is to empower people through technology by integrating Vision AI into existing systems, enabling customers to see what's important and change outcomes. About the … working knowledge of programming languages, e.g. Python, Go etc Skilled at managing escalations and communicating with execs. Background working in a startup or high-growth environment. Interest in using AI to streamline support and improve customer outcomes. Benefits: Why Join Us? Competitive salary and performance-based bonuses. Opportunities for professional development and career advancement. Flexible work arrangements, including hybrid/ More ❯

fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. As a manager you will Lead an international team of engineers to develop … IT and/or other relevant engineering domains. 1+ year of successful project management experience in leading and managing engineering teams in a technology-driven company. Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization. Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems, transfer learning etc. More ❯

across the business. THE COMPANY A major player in the media sector, this company is investing heavily in its data capabilities to support everything from real-time analytics to AI-powered content discovery. The environment is collaborative, fast-moving, and focused on innovation. With strong engineering foundations already in place, they're looking for a contractor to accelerate delivery of … from raw ingestion to curated layers powering LLMs and advanced analytics.Your responsibilities will include: Building and maintaining production-grade ETL/ELT workflows with DBT and Airflow Collaborating with AI/ML teams to support data readiness for experimentation and inference Writing clean, modular SQL and Python code for use in Databricks Contributing to architectural decisions around pipeline scalability and More ❯

Bristol As a generative AI-focused Data Scientist specialising in Natural Language Processing (NLP), you will drive innovation by designing and enhancing cutting-edge AI algorithms tailored for our diverse internal customer. Your primary mission is to empower our teams with maintainable and robust NLP solutions, fostering a data-driven culture throughout the organization. Salary : Circa £50,000 depending on … complexity against business needs, ensuring durability and responsiveness. Collaborate with internal clients to understand and deliver on their unique data challenges. Stay abreast of the latest advancements in generative AI and NLP, guiding our technology strategy. Ensure smooth data flow through various exchange and processing techniques (ETL, ESB, API). Lead the way in delivering Agile methodologies for successful and More ❯

SeeChange is a dynamic startup revolutionizing Vision AI technology. With a team boasting over 436 years of combined expertise and €45 million in platform investment, they've secured 15 patents (and counting). Their mission is to empower people through technology by integrating Vision AI into existing systems, enabling customers to see what's important and change outcomes. Reporting to More ❯

teams to deliver secure, scalable, and compliant solutions Creating and tuning DLP/Cyber policies for endpoints, email, cloud apps, and network traffic Work with other data professionals and AI engineers to understand business needs and develop effective AI solutions WHAT WE'RE LOOKING FOR We're committed to building a diverse and inclusive team, and we welcome applicants from More ❯

yearly Employer : GE Aerospace Job Description Summary The Data Scientist will work individually or as part of a team to develop advanced analytics, ML and AI solutions which bring demonstrable value to GE Aerospace. You will be able to quickly assimilate customer requirements and translate these into working solutions. In this role you will be continuously exercising your analytic expertise … Data Science; Computer Science; Mechanical/Aeronautical Engineering) with some relevant work experience. Technical Skills Analytical scripting skills - Python preferred. Knowledge of and experience of using Machine Learning/AI and advanced statistics. SQL and Version Control (e.g. Github) experience useful. A keen interest in Data Science/Analytics and working in commercial Aviation. Flexible Working GE supports and encourages More ❯

firm to evolve our client lifecycle and productivity tools. You will lead the design, development, and implementation of solutions using Power Apps, Power Automate, Power Pages, Copilot Studio, and AI Builder. You will also provide technical leadership and mentoring to colleagues, supporting innovation and operational excellence. Key tasks include: Designing, developing, and maintaining Power Platform solutions, including model-driven and … Model-Driven), Power Automate, and Power Pages. Familiarity with tools such as SharePoint Framework (SPFx), PCF, Microsoft Graph, REST APIs, and Custom Connectors. Ideally, experience with Copilot Studio and AI agent configuration. Strong documentation skills and a user-centred design mindset. Relevant certifications such as Microsoft PL-400 or PL-600 (preferred). We encourage applications from candidates who may More ❯

challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and … best quality. Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or More ❯

us to handle the risks that come with using models for our decisions, especially with all the complex regulations and growing expectations from regulators. Plus, with new tech like AI (and Gen AI) and new financial risks like climate change, the modelling space is constantly evolving and needs to be managed well. That's where our team steps in! We More ❯

Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional More ❯

Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional More ❯

Relational or non-relational databases using SQL or NoSQL Data Engineering skills using Python Modern Analytics architectures - Data Lakes/Data fabrics/Data mesh. Machine Learning and Generative AI use cases HTML, JavaScript, Angular XML, XSLT, JSON, SOAP, REST Cloud hardware services, containers, kubernetes, etc. Windows, Unix/Linux, MAC OS X API Management Healthcare protocol experience (FHIR, HL7 More ❯

Linux environment including scripting skills. SDLC/Dev Ops - Git/BitBucket, CI/CD pipeline frameworks such as Jenkins, SonarQube, JIRA, Any secure coding toolkits. Experience using Generative AI tools such as CoPilot Demonstrated clear and concise written and verbal communication skills Demonstrated leadership, project and stakeholder management skills Education Bachelor's degree/University degree in software or More ❯

verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts. PREFERRED QUALIFICATIONS - A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company - Practical experience in several of the following areas: machine learning, statistics, NLP, deep More ❯