1 to 25 of 9,976 AI Jobs in the UK

About the Role: We are looking for a Software Engineer - Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure, and … efficient Generative AI capabilities that enhance decision-making, optimize performance, and ensure responsible AI governance. This position plays a pivotal role in leveraging Generative AI technologies to modernize and automate the Global Supply Chain. The successful candidate will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI … applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot and optimize AI/ML models and applications. Contribute to innovation initiatives within the GenAI team. More ❯

About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure, and … efficient Generative AI capabilities that enhance decision-making, optimize performance, and ensure responsible AI governance. This position plays a pivotal role in leveraging Generative AI technologies to modernize and automate the Global Supply Chain. The successful candidate will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI … applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot and optimize AI/ML models and applications. Contribute to innovation initiatives within the GenAI team. More ❯

About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure, and … efficient Generative AI capabilities that enhance decision-making, optimize performance, and ensure responsible AI governance. This position plays a pivotal role in leveraging Generative AI technologies to modernize and automate the Global Supply Chain. The successful candidate will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI … applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot and optimize AI/ML models and applications. Contribute to innovation initiatives within the GenAI team. More ❯

About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure, and … efficient Generative AI capabilities that enhance decision-making, optimize performance, and ensure responsible AI governance. This position plays a pivotal role in leveraging Generative AI technologies to modernize and automate the Global Supply Chain. The successful candidate will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI … applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot and optimize AI/ML models and applications. Contribute to innovation initiatives within the GenAI team. More ❯

About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure, and … efficient Generative AI capabilities that enhance decision-making, optimize performance, and ensure responsible AI governance. This position plays a pivotal role in leveraging Generative AI technologies to modernize and automate the Global Supply Chain. The successful candidate will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI … applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot and optimize AI/ML models and applications. Contribute to innovation initiatives within the GenAI team. More ❯

About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure, and … efficient Generative AI capabilities that enhance decision-making, optimize performance, and ensure responsible AI governance. This position plays a pivotal role in leveraging Generative AI technologies to modernize and automate the Global Supply Chain. The successful candidate will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI … applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot and optimize AI/ML models and applications. Contribute to innovation initiatives within the GenAI team. More ❯

time to join us!# About the Role Level: 5Department: COOLocation: Southampton or LondonContract type: PermanentThe new role sits within Group Chief Operation Office and reports to Head of AI and Data Science. The key accountabilities for the role are as follows: AI/ML Solution Development : Design and implement advanced AI solutions spanning traditional machine learning, Generative AI, and … Agentic AI paradigms. This includes leading hands-on development of models and RAG pipelines to support enterprise-grade LLM applications. MLOps and LLMOps : Build and maintain scalable MLOps and LLMOps pipelines, enabling automation of model training, testing, deployment, and monitoring. Enable reproducibility, traceability, and performance optimization across all AI solutions. Vendor Product Evaluation & Onboarding : Lead the technical evaluation of third … party AI products and platforms, conducting benchmarking, sandbox testing, and assessing integration feasibility. Collaborate with procurement, legal, and security teams to ensure successful onboarding of approved vendors. Governance & Compliance : Define and enforce standards for model validation, bias detection, and explainability, ensuring alignment with internal governance frameworks and external regulations such as GDPR and FCA Platform Enablement: Leverage Databricks, Azure AI More ❯

take your career wherever you want it to go. Join EY and help to build a better working world. Location : London Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands-on experience building AI … models across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud-based AI platforms. Design, develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI … and decision support systems Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs Translate business requirements into technical AI/ML features, model selection, architecture decisions Conduct exploratory data analysis and communicate insights to stakeholders Collaborate with data engineers, architects, and business analysts More ❯

to do. Come join us at the heart of trust! From reviews to user behaviours to internal systems, at Trustpilot we truly have big data. And, in our Applied AI team, we are leveraging AI and ML to transform data into value, drive product innovation, improve user experience, enrich Trustpilot's data ecosystem and enhance business growth. We are seeking … a Data Science Manager to join our Applied AI team, to help us in our mission. We are seeking a candidate with a proven track record in managing and developing a team of Data Scientists specializing in Applied AI, across junior, mid-level, and senior roles. The ideal candidate will also possess hands on experience throughout the entire ML modeling … collaborate with cross functional teams in product management, UX, data analytics, and engineering across various product contexts. This role involves managing the delivery and maintenance of highly impactful, innovative AI/ML solutions at scale. To effectively fulfil this role, you will have an extensive technical background and several years of experience as a Data Scientist/Applied AI Scientist More ❯

Manchester/Madrid (1 Position) Position Purpose The Senior Data Scientist is responsible for designing and developing advanced tools and products that leverage Machine Learning, Data Science, and Generative AI techniques using data sourced from various internal and external platforms. This role focuses on increasing supply chain efficiency, boosting productivity, and delivering measurable value to customers by implementing innovative models … monitoring deployed models. Lead and mentor junior data scientists and analysts, fostering skill development and best practices within the team. Drive continuous innovation by exploring emerging data science and AI technologies, including generative AI for supply chain applications. Communicate insights, risks, and recommendations effectively to both technical and non-technical stakeholders. Support prioritization and management of data science workstreams to More ❯

a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for … EY teams ask better questions to find new answers for the complex issues facing our world today. The Team and the opportunity As part of our Data Analytics and AI team, the Data Scientist & AI role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data … will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements. The Data Analytics and AI team serve as trusted advisors, both practical and innovative, to embed innovative data analytics solutions into existing business areas and transforming data into strategic assets. Working across all industries, you More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the More ❯

and make a real impact - help our future focused business lead the way in powering secure and sustainable business connections through digital and physical channels. VP Digital Insights and Artificial Intelligence - UK We are seeking a highly capable and strategic VP Digital Insights and Artificial Intelligence to lead on own the strategy, implementation, and governance of data, analytics and AI … predictive and prescriptive analytics use cases that inform strategic decisions and improve operational outcomes Champion self service analytics and empower business teams to access and use data confidently Responsible Artificial Intelligence & Automation Identify, evaluate, and deliver AI initiatives including: Conversational AI (e.g., chatbots, virtual assistants) Machine Learning and Predictive Models for forecasting and optimisation Collaborate with product, operations, and technology … of emerging trends and technologies in AI, machine learning, cloud platforms, and analytics to inform strategic decisions Your Profile Master's degree or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or a related field Executive education or certifications in AI strategy, digital transformation, or innovation (e.g., MIT, Stanford, INSEAD programmes) Certifications in cloud platforms (AWS, Azure More ❯

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine … learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not … just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and More ❯

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine … learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not … just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and More ❯

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine … learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not … just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and More ❯

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine … learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not … just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and More ❯

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine … learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not … just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and More ❯

engineering team. This is a pivotal role for someone who thrives in a fast-paced environment, has a deep understanding of scalable web applications, and is eager to leverage Artificial Intelligence to enhance user experiences, drive engagement, and uncover valuable insights. You'll be instrumental in building the next generation of our gamified platform, from intuitive user interfaces to robust … performant backend services, with a keen eye on integrating AI/ML capabilities across the stack. RESPONSIBILTIES End-to-end Development: Design, develop, and deploy high-quality, scalable, and maintainable full-stack applications using React, Node.js, and other core technologies. Frontend Mastery: Drive the architecture and implementation of responsive, performant, and engaging user interfaces using React, ensuring exceptional user experience … web and mobile platforms. Backend Powerhouse: Build and maintain robust, secure, and scalable API services and microservices that power our gaming platform, handling high volumes of real-time data. AI Integration: Research, design, and implement AI/ML features into our products, focusing on areas such as: Personalisation: Tailoring game content, recommendations, and user journeys. Predictive Analytics: Forecasting user behaviour More ❯

Senior Data Scientist - AI/ML (Financial Services) Location: Remote/Major Hubs in APAC, Europe, and the UK Team: Advanced Analytics & Artificial Intelligence About the Role We are seeking a highly experienced and innovative Senior Data Scientist to join our global Advanced Analytics team. This is a strategic role focused on designing, developing, and deploying cutting-edge AI and … requirements (e.g., SR 11-7, GDPR, PSD2). Document model development processes thoroughly for internal and external audits. Innovation: Stay abreast of the latest academic and industry advancements in AI/ML and proactively identify opportunities to apply them within the organization. Qualifications & Experience (Required) Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics … Proficiency in SQL is essential. Machine Learning: Deep, hands-on experience with a wide range of ML techniques (supervised/unsupervised learning, time-series analysis, ensemble methods). Advanced AI: Practical experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch) for applications like NLP (Transformer models, BERT) or computer vision. Big Data Tools: Experience with big data platforms like Spark (PySpark More ❯