1 to 25 of 5,250 AI Jobs in the UK

TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data … and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and … work alongside experienced data scientists and ML engineers to design, develop, and apply data-driven models and analyses that deliver measurable business value. Reporting to the Executive Director of AI Science, you'll gain hands-on experience working on impactful projects across the enterprise, applying advanced analytics and machine learning to areas such as financial services, insurance, and operations optimization. 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 ❯

Job Title: AI Solution Architect Location: London, United Kingdom (Hybrid- 1 day/week) Job Type: Contract Inside IR35 Client: Mphasis Job Summary: We are looking for a technically savvy and business-minded solutions architect to deeply. partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize … codifying best practices, and publishing notebooks to our internal and external repositories. • Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. Technical Skills – Must have: • AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data … system architecture • Extensive knowledge on API's & Integrations, Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master's in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software development methodologies 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 ❯

common purpose: building tomorrow’s world today. Day by day, we support our customers' development strategies as well as their technological and sustainability transformation. Key Responsibilities 1. Hands-On AI Solution Development in ALTEN Projects Analyse ALTEN Structured Projects to identify AI integration opportunities for productivity, quality, or innovation gains. Design, code, train, and test AI models tailored to use … etc.). Perform effort estimation and model validation and monitor deployment success and cost-performance trade-offs. Collaborate closely with local technical leads while owning the technical delivery of AI capabilities. 2. Technical AI Leadership in Tenders and Bids Assess customer tenders to identify opportunities for AI-driven innovation. Design working AI prototypes or demos to demonstrate feasibility and value. … Contribute precise technical descriptions and implementation plans for inclusion in proposals. Represent ALTEN’s AI capabilities in technical discussions with clients. 3. Pre-Sales AI Support Join business development teams during client meetings to demonstrate working AI use cases and platforms. Co-develop and present tailored AI solutions with real-world impact, not just slideware. Build trust with clients through More ❯

common purpose: building tomorrow’s world today. Day by day, we support our customers' development strategies as well as their technological and sustainability transformation. Key Responsibilities 1. Hands-On AI Solution Development in ALTEN Projects Analyse ALTEN Structured Projects to identify AI integration opportunities for productivity, quality, or innovation gains. Design, code, train, and test AI models tailored to use … etc.). Perform effort estimation and model validation and monitor deployment success and cost-performance trade-offs. Collaborate closely with local technical leads while owning the technical delivery of AI capabilities. 2. Technical AI Leadership in Tenders and Bids Assess customer tenders to identify opportunities for AI-driven innovation. Design working AI prototypes or demos to demonstrate feasibility and value. … Contribute precise technical descriptions and implementation plans for inclusion in proposals. Represent ALTEN’s AI capabilities in technical discussions with clients. 3. Pre-Sales AI Support Join business development teams during client meetings to demonstrate working AI use cases and platforms. Co-develop and present tailored AI solutions with real-world impact, not just slideware. Build trust with clients through 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 ❯

meaningful challenges - from stopping cybercriminals to enabling frictionless experiences for legitimate consumers. As a Principal Data Scientist , you will play a key role in shaping the future of our AI capabilities across multiple products within our Fraud, Identity, and Financial Crime Compliance portfolio. You will lead the ideation, research, modeling, and implementation of new AI-driven features - with a strong … focus on Large Language Models (LLMs) , Generative AI , and advanced Machine Learning . Your work will directly impact millions of identity verifications and fraud prevention decisions every day, helping global organizations operate safely and efficiently. You will also contribute to the company's long term AI strategy and act as a thought leader and role model within the data science … and integrate insights into product development. Mentor and support other data scientists, fostering technical excellence and innovation across the organization. Education Master's degree or PhD in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field. Degree from a leading Engineering School (Grand Ecole) or University with a strong quantitative curriculum is highly valued. Requirements 8+ years of experience More ❯

TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data … and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and … support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science More ❯

wealth management), architectural leadership, and transformation technology experience. The ideal candidate will be responsible for shaping and delivering strategic modernisation efforts, spanning core platforms, data and digital initiatives, and AI-driven innovation in alignment with regulatory, operational, and customer-focused priorities with a key focus on Change the Bank (CTB) . The Opportunity Strategic Technology Leadership Define the future-state … and client engagement platforms (e.g., advisor portals, investor dashboards, digital onboarding, portfolio analytics). Support rationalisation and integration of fragmented technology estates resulting from mergers, acquisitions, or platform expansion. AI & Data Strategy Enablement Identify and drive AI and data-driven use cases relevant to investment advisory, client servicing, risk management, and operational automation (e.g., hyper-personalisation, RPA, document intelligence, GenAI … middle and back-office systems, and associated data flows. Hands-on experience with cloud-native platforms (AWS, Azure, GCP) , API management , enterprise integration , and data architecture . Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape , data privacy, and cybersecurity needs within financial More ❯

solutions architect for Industry 4.0 develops, designs, and oversees the implementation of scalable, reliable, and secure solutions. These systems leverage emerging technologies like the Industrial Internet of Things (IIoT), AI/ML, and cloud computing to improve efficiency, productivity, and decision-making for manufacturing operations. This role translates business requirements into technical blueprints, manages technology integration, and provides technical leadership … transformation journey. Support pre-sales activities, including responding to RFPs/RFIs and delivering solution demonstrations. Innovation & Best Practices: Stay up-to-date with the latest advancements in IIoT, AI, cloud computing, and other Industry 4.0 technologies. Contribute to the development of reusable frameworks, reference architectures, and accelerators to drive innovation and efficiency. Risk Assessment: Identify potential risks and impacts … databases, and real-time data streaming (e.g., Kafka). Understanding of IT/OT network fundamentals, microservices, APIs, and cybersecurity principles. Familiarity with latest technologies such as GenAI, Agentic AI etc. in the context of Industry 4.0. Manufacturing Domain Knowledge: Solid understanding of manufacturing operations, including production planning, scheduling, and quality management processes. Analytical Mindset: Strong problem-solving and analytical More ❯

solutions architect for Industry 4.0 develops, designs, and oversees the implementation of scalable, reliable, and secure solutions. These systems leverage emerging technologies like the Industrial Internet of Things (IIoT), AI/ML, and cloud computing to improve efficiency, productivity, and decision-making for manufacturing operations. This role translates business requirements into technical blueprints, manages technology integration, and provides technical leadership … transformation journey. Support pre-sales activities, including responding to RFPs/RFIs and delivering solution demonstrations. Innovation & Best Practices: Stay up-to-date with the latest advancements in IIoT, AI, cloud computing, and other Industry 4.0 technologies. Contribute to the development of reusable frameworks, reference architectures, and accelerators to drive innovation and efficiency. Risk Assessment: Identify potential risks and impacts … databases, and real-time data streaming (e.g., Kafka). Understanding of IT/OT network fundamentals, microservices, APIs, and cybersecurity principles. Familiarity with latest technologies such as GenAI, Agentic AI etc. in the context of Industry 4.0. Manufacturing Domain Knowledge: Solid understanding of manufacturing operations, including production planning, scheduling, and quality management processes. Analytical Mindset: Strong problem-solving and analytical More ❯

high number of applications, so it's best to apply as soon as you can. If you have any questions, please do contact the team at Job Description Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. … Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what … live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: • Up to three Stanford Artificial Intelligence Professional Programmes • Google Cloud certifications • Coursera courses on everything from advanced ML to AI ethics and explainability. Because your career is more than your day job, you'll get More ❯

TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data … and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and … You will act as a technical thought leader and strategic partner, shaping the organization's machine learning engineering practices and fostering a culture of operational excellence, reliability, and responsible AI adoption. Responsibilities: Architect and deploy ML systems and platforms that solve high-impact business problems across regulated enterprise environments. Lead the development of production-ready pipelines, including feature stores, model More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Location & Work Arrangement: Hybrid … days per week in the office in London or Edinburgh ; Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to … enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Location & Work Arrangement: Hybrid … days per week in the office in London or Edinburgh ; Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to … enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Location & Work Arrangement: Hybrid … days per week in the office in London or Edinburgh ; Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to … enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous More ❯

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 lifecycle, from initial concept to production deployment. You will 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 before More ❯

is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a … findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. More ❯

Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating closely with … governance in data science. Proven ability to manage and mentor data science teams. Evidence of taking a company or department on a journey from Analytics to Data Science to AI and ML deployed at scale. Ability to translate complex analysis findings into clear narratives and actionable insights. Excellent communication skills, with the ability to listen and collaborate with non-technical More ❯

fast-track your career and lead projects that deliver tangible business results. What you will do Act as trusted advisor to board-level stakeholders; co-create enterprise-wide data & AI roadmaps, operating models and investment cases. Shape and execute annual practice plan-investment, hiring plan, capability build, M&A or venturing plays, ensuring a healthy team pyramid and team members … existing relationships and expanding client engagements. What you will bring Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences). 10+ years of consulting experience or relevant industry experience, with at least 3+ years at a senior leadership level and a strong More ❯

Technology, Product, Risk, and Marketing teams to translate business challenges into actionable data science solutions. Innovation & Best Practices: Apply cutting-edge techniques in machine learning, deep learning, and generative AI where appropriate. Ensure models meet standards for fairness, transparency, and compliance. Performance Monitoring: Implement model evaluation frameworks and monitor performance in production environments. Knowledge Transfer: Document processes and share insights More ❯

Technology, Product, Risk, and Marketing teams to translate business challenges into actionable data science solutions. Innovation & Best Practices: Apply cutting-edge techniques in machine learning, deep learning, and generative AI where appropriate. Ensure models meet standards for fairness, transparency, and compliance. Performance Monitoring: Implement model evaluation frameworks and monitor performance in production environments. Knowledge Transfer: Document processes and share insights More ❯

to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision Python and SQL coding skills are indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks More ❯

to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision Python and SQL coding skills are indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks More ❯