301 to 325 of 6,193 Artificial Intelligence Jobs in the UK

Galileo , a next-generation, cloud-native platform that will turn OLI's renowned engine into a global service. This is a ground-up re-architecture that adds distributed computing, AI-assisted simulations, and hardened infrastructure for always-on availability. Join a small, elite squad inside our Technology Team. You will work shoulder-to-shoulder with domain scientists, DevOps engineers, and … leave a measurable mark, OLI needs you. Mission Statement You will deliver production-grade front- and back-end code that extends OLI's computational engine into a resilient, scalable, AI-ready platform. Within your first year you will work closely with the team, contribute to architectural foundations and push critical Galileo components from prototype to production enabling faster scientific breakthroughs. … audits, and automated security scanning. Spot vulnerabilities early and address them head-on. Collaborate with DevOps to ensure infrastructure is resilient and ready to scale as needs grow. Apply AI/ML techniques where they unlock real value-accelerating prototyping, informing decisions, or streamlining developer workflows. Stay curious about emerging tools and technologies. Evaluate new promising approaches and back them More ❯

Excited If You Have Professional Android development experience, ideally with Kotlin and/or Compose Strong experience shipping and maintaining production apps in the Play Store Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering AIliteracy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or … are curious about Gen AI and have explored it. Experience working with IoT or networked device interactions is a big plus Familiarity with BLE, webs sockets, or MQTT protocols is a bonus Experience collaborating with cross-functional teams in agile environments Proficient in the Android development toolset Strong understanding of Android architecture, UI/UX patterns, and app lifecycle Excellent More ❯

unique insights. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide. InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like … Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading … the industry. Join us to be a part of the AI revolution! As a Research Engineer you'll be a part of the BioAI department, in collaboration with research engineers and computational geneticists from the BioAI team. You will be contributing to the development of new approaches in; cancer genomics research with deep learning; and possible downstream related domains, by More ❯

Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices. Key Responsibilities Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports … costs and meeting business requirements. Implementing Data Engineering Pipelines: Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency. Enabling Data Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives. Supporting MLOps Practices: Collaborate with data scientists and More ❯

Conductingexploratory data analysis and communicating insights through cleardescriptions and visualizations in Tableau or PowerBI Developing,testing, and implementing Machine Learning models Conductingresearch on recent developments in Machine Learning and AI, with a focuson topics related to pricing, sales, and marketing Beinga topic expert on Machine Learning and AI for your project team, enablingstrong project planning and team performance Your profile More ❯

will contribute to sprint content and influence development direction. V-Nova, a London-based IP and software company, is dedicated to improving data compression through innovative technologies based on AI and parallel processing for data, video, imaging, and point cloud compression, applicable across various sectors. This is achieved through deep-science R&D (over 1000 international patents) and product development … development lifecycle. Familiarity with test frameworks such as Pytest or Google Test. Skills in front-end technologies like HTML, CSS, JS, TypeScript, and Node.js are a bonus. Experience with AI tools for automation and development is also advantageous. Desirable Skills: Experience with BDD testing tools like Cucumber or Spock. Experience with AWS or other distributed cloud solutions. Understanding of system More ❯

Learning. Specifically, we are looking for expertise in Natural Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must … OR a related field. - Proven track record in training large language models and post-training large language models, using reinforcement learning or similar techniques - First-hand experience building agentic AI models using deep learning Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender More ❯

technical stakeholders. Build, deploy, and maintain robust data pipelines and production-grade models (MLOps). Champion ethical data practices, governance, and high-quality documentation. Stay up to date with AI and data science innovations, bringing cutting-edge thinking into the business. As a Data Scientist, you'll join our dynamic Business Performance & Insights team, working alongside talented data analysts, engineers … technical stakeholders. Build, deploy, and maintain robust data pipelines and production-grade models (MLOps). Champion ethical data practices, governance, and high-quality documentation. Stay up to date with AI and data science innovations, bringing cutting-edge thinking into the business. Experience required A degree in Data Science, Computer Science, Mathematics, or a related field. 5+ years' experience in data More ❯

sales teams to design compelling solution proposals and implementation plans. Participate in client engagements, define best practices and support clients in implementation of those if requested . Innovation and AI Enablement: Evaluate and support implementation of innovative technologies, including agentic AI, to enhance contract review, negotiation, risk flagging, and metadata extraction. Lead the functional design and implementation of intelligent contract … with contract analytics, obligations tracking, and integration with ERP and sourcing systems. Hands-on experience with contract and procurement platforms (e.g., SirionLabs , Icertis, Ariba, Coupa, or similar) Experience with AI/ML-based contract solutions and automation tools is highly desirable (e.g. GCP DocA I ) Strong analytical and problem-solving skills with the ability to translate complex requirements into actionable More ❯

Join our innovative AI/ML team at Barclays Corporate Bank as a Senior Machine Learning Engineer , where we bridge the gap between cutting-edge data science exploration and real-world business application integration. We manage internal cloud platforms that support exploratory data science work while specialising in transforming conceptual ML models into production-ready applications that drive critical business … decisions and processes. As part of Barclays' strategic AI/ML initiative, our team plays a vital role in establishing the corporate bank as a leader in financial data analytics innovation. We offer the opportunity to work with enterprise-scale data using cloud technologies, implement MLOps best practices, and collaborate with talented data scientists to deliver solutions that create measurable More ❯

SQL, and other databases is a plus Experience with Big Data and cloud services such as AWS/GCP is a plus Experience in advertising domain a big plus AI literacy and curiosity - Gen AI interest in or outside of a work setting. B.S. or M.S. degree in Computer Science, Engineering, or equivalent Self-motivated individual with a high level 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 ❯

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 ❯

practices. • Collaborate with cross-functional teams to align DevOps and SRE strategies with business goals. • Mentor and lead DevOps teams, fostering a culture of innovation and continuous improvement. • Leverage AI and machine learning to optimize DevOps and SRE processes. • Ensure compliance, security, and operational excellence in all DevOps practices. ͏ Required Qualifications: • 15+ years of experience in IT, with a strong … AWS, or GCP. • Strong background in cloud-native engineering and solution architecture. • Demonstrated experience in applying SRE practices such as SLIs, SLOs, error budgets, and incident response. • Exposure to AI/ML technologies and their application in DevOps and SRE. • Strong leadership and mentoring experience. • Excellent communication, collaboration, and problem-solving skills. • Bachelor's or Master's degree in Computer More ❯

analyses to appropriate audiences, demonstrating in-depth subject knowledge and confidence in conclusions. Ensure data science projects and models comply with all governance and regulatory requirements (e.g. GDPR, EU AI Act) and are supported by clear, comprehensive documentation. About you: Significant data science experience preferably within financial services, ideally in general insurance. Experience applying machine learning and AI techniques to More ❯

including the COO, MD, FD, Heads of Operations, HRBPs, and Data Governance leads, and will be instrumental in identifying and implementing enablers for operational efficiency-such as WFM tools, AI-driven solutions, and bespoke Power Platform applications. Job Description Key Responsibilities: Lead the development of scalable, secure, and innovative applications using Power Apps, Power Automate, Power BI, and Copilot Studio … data solutions and promoting a culture of innovation and continuous improvement. What are we looking for: Strong command of SQL, Python, Azure (Functions, Logic Apps, Key Vault), GitHub, and AI/ML technologies-enabling intelligent automation, data modelling, and cloud-native development Extensive knowledge of Power Apps (Canvas & Model-Driven), Power Automate (Cloud Flows, RPA), Power BI (DAX, Power Query More ❯

About Us Makutu designs, builds and supports Microsoft Azure cloud data platforms. We are a Microsoft Solutions Partner (Azure Data & AI) and are busy building a talented team with relevant skills to deliver industry leading data platforms for our customers. The Role The Data Engineer role is key to building and growing the in-house technical team at Makutu. The More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

critical to the environment, economy and everyday living. We are primarily data driven with domain expertise delivering insights to water networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based. About the role: Working as part of a development and delivery team, designing, developing, implementing, testing, maintaining, supporting and delivering backend features, functionality and More ❯

lead multiple projects and changing priorities in a fast-paced environment Detail orientated with analytical, time management and problem-solving skills Excellent written and verbal communication skills Experience with AI/Machine Learning and/or big data analytics solutions, either developing or in partnership with IT Business/Finance acumen to determine how to leverage IT/Analytics skills More ❯

Working style: Hybrid 50% home/office based Overview: We have a fantastic opportunity for a Senior Data Engineer to join the Core Data Engineering team in our Data & AI Office. The successful candidate can be based at our Edinburgh, Glasgow, or Alderley Edge office locations, offering a hybrid working model. This role involves managing data and technical assets to More ❯

edge of Oxford, but we have many flexible and partially remote options. About Us Based in Oxford, Plyable is an award-winning startup that specialises in using the latest AI and machine learning technology to automate the quoting, design and production of tooling and parts for composite (carbon fibre) manufacturing. The demand for composites is surging, particularly in industries such More ❯

Experience of programming languages such as Go, Ruby, Python, etc. Knowledge of CI/CD pipelines Skilled in test automation Fundamental knowledge of databases such as PostgresSQL Experience using AI Come work with us! Our team members are valued for their contributions, introduced to new opportunities, and rewarded well . Perforce combines the experience and rewards of a start-up More ❯

optical cover Enhanced Parental Leave: 20 weeks of fully paid maternity leave 4 weeks of fully paid paternity leave Contributory pension scheme Friday office lunches Access to cutting-edge AI tooling Hybrid working from our dog-friendly Shoreditch office Free gym membership via our co-working spaces Cycle-to-work scheme Regular team socials, events, and offsites More ❯