251 to 275 of 4,650 Artificial Intelligence Jobs in London

Salesforce AI Architect ££90000-£100000 GBP £4,000 car allowance + 10% bonus Hybrid WORKING Location: United Kingdom (Greater London) Type: Permanent Job Title: Salesforce AI Architect Location: London (Hybrid - 1 day per week in the office, with client site visits as needed) Salary: £90,000 - £100,000 + … car allowance + 10% bonus Employment Type: Permanent Overview A leading global consultancy is seeking a Salesforce AI Architect to join its digital transformation team. This permanent position offers the chance to work on innovative, AI-powered Salesforce solutions across enterprise-scale projects. You will be instrumental in designing and … delivering intelligent architecture that enhances automation, customer engagement, and business insight through Salesforce technologies. Key Responsibilities • Act as the in-house expert for Salesforce AI, advising on capabilities such as Einstein Copilot, Predictive AI, Generative AI, and Agentforce. • Lead the design and implementation of AI-enabled solutions across the Salesforce More ❯

warpSpeed is pioneering the world's premier Application AI tool, elevating the use of Daily Tools to create unprecedented productivity and insights for users, moment by moment, hour by hour. We're on a mission to create hundreds of powerful life-changing AI services that usher in a new wave … of intelligence, awareness, and productivity for the human race. The Opportunity: We're seeking a visionary Senior Application AI Architect to join our team and play a pivotal role in shaping the technical foundation of our groundbreaking productivity platform. In this role, you'll be responsible for designing and … overseeing the implementation of robust, scalable, and innovative AI-powered systems that form the core of warpSpeed's offerings. Key Responsibilities: Leading the design and architecture of warpSpeed's Application AI platform, ensuring scalability, performance, and integration of multiple AI services. Develop technical strategies to seamlessly integrate AI capabilities into More ❯

AI Engineer (London) A fast-growing defence tech startup focused on AI and software for autonomous systems is hiring an AI Research Engineer for their remote team. Partnered with a third-party recruiter, this well-funded company is committed to protecting democratic values through innovative engineering. Responsibilities: Develop and implement … AI/ML models for enterprise software and edge devices (e.g., drones, robots). Work with clients to address complex challenges using AI-driven solutions. Optimise models for resource-limited environments while tackling ethical and data concerns. Influence the company’s AI strategy with significant autonomy. Requirements: MSc in CS … AI, ML, or robotics (PhD preferred). 4+ years of ML experience (e.g., scene understanding, multi-modal sensing). Expertise in Python, Rust, C++, or Java, as well as frameworks like PyTorch, TensorFlow, and JAX. Excellent communication and problem-solving abilities. Bonus : Experience with MLOps, sensor modalities, or deploying production More ❯

on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework … The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for … a diverse and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices More ❯

on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework … The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for … a diverse and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices More ❯

on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework … The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for … a diverse and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices More ❯

on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework … The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for … a diverse and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices More ❯

on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework … The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for … a diverse and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices More ❯

Site Name: London The Stanley Building Posted Date: Mar At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at … development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Clinical Development team is responsible for creating AI/ML applications to support the development of GSK's assets (Pharma and Vaccine), from … the potential to be transformative in drug development, empowering us to find new life saving medicines. We are looking for a Senior Director of AI/ML Engineering - Foundation Models in Medical Imaging. This is a technical management track role with responsibility for building out a team in this domain. More ❯

AI Sales Specialist - Enterprise & Vertical AI Solutions Publication Date: Mar 28, 2025 Ref. No: 528946 Location: London, GB Remote Home, GB Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next … computing and security, it brings deep expertise for all industries in more than 47 countries. Why Join Eviden Be at the forefront of enterprise AI innovation, working with a portfolio of industry-leading solutions Collaborate with world-class AI architects, data scientists, and industry experts Access to an extensive client … network across the UK's largest enterprises Strategic partnership with Databricks, the world's fastest-growing data and AI platform Clear pathway for career advancement in a rapidly expanding market segment Opportunity to make a meaningful impact on how major organizations implement AI technologies Role Overview As an AI Sales More ❯

AI Engineer – GenAI & Scalable Systems | £60k | London Hybrid 📍 Hybrid role (2 to 3 days per week in London) A leading consumer tech company is launching a brand-new AI team in London, and they’re looking for experienced engineers ready to pivot into AI. If you’re excited by GenAI … have a solid engineering background, and want to work on real-world AI features, this is your chance. Why this role? 🚀 Learn and build in AI from day one 🛠️ Work on distributed systems, CI/CD, observability, and model deployment 🧠 Collaborate with ML and product teams to ship user-focused … AI tools 🌍 Join a profitable, fast-growing tech company with fintech partnerships What we're looking for: 4+ years of software engineering experience (Python, Kotlin, JavaScript, Go, etc.) Experience with cloud infrastructure (AWS, GCP, Docker, Kubernetes) Some exposure to AI or ML (courses, personal projects, prototypes) A strong builder mindset More ❯

As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation of our projects. What You'll … Get to Do: Architect and develop autonomous AI systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks Create robust agentic workflows enabling AI agents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented … in production. Implement distributed training and scalable MLOps pipelines for continuous model improvement Collaborate with cross-functional teams-research, product, and engineering-to embed AI capabilities into products and services Evaluate and select appropriate AI frameworks (e.g., LangChain, LlamaIndex) to integrate agent components seamlessly with enterprise systems Build full-stack More ❯

Working within the AI Centre of Excellence (CoE) team, you will be at the cutting edge of merging advanced AI techniques with the Nationwide’s distinctive data assets to optimise business decisions and automate processes. This role offers the chance to expand the frontiers of AI applications in financial services … doing You will be instrumental in creating products that enhance efficiency, aid experts in prioritising tasks, and improve decision-making. Our growing suite of AI-powered products and services presents substantial opportunities for the reuse of foundational components through thoughtfully designed libraries and services that can be applied team-wide. … domains. You will have opportunity to work on a variety of projects spanning across Machine learning and Generative AI. About you Advanced degree in AI, Computer Science, Mathematics, or a related quantitative field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Solid More ❯

Working within the AI Centre of Excellence (CoE) team, you will be at the cutting edge of merging advanced AI techniques with the Nationwide’s distinctive data assets to optimise business decisions and automate processes. This role offers the chance to expand the frontiers of AI applications in financial services … doing You will be instrumental in creating products that enhance efficiency, aid experts in prioritising tasks, and improve decision-making. Our growing suite of AI-powered products and services presents substantial opportunities for the reuse of foundational components through thoughtfully designed libraries and services that can be applied team-wide. … domains. You will have opportunity to work on a variety of projects spanning across Machine learning and Generative AI. About you Advanced degree in AI, Computer Science, Mathematics, or a related quantitative field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Solid More ❯

Senior AI Researcher Reading region office x3 days a week About the Company We’re working with a world-renowned innovation hub operating at the cutting edge of mobility, energy, and digital ecosystems. This European R&D centre is part of a global organisation known for advancing intelligent technology solutions … The company fosters a collaborative and inclusive culture, offering flexible working and the opportunity to be part of a pioneering team shaping next-generation AI and decentralised technologies. About the Role This is an exciting opportunity for an experienced AI researcher to join a multidisciplinary innovation lab focused on the … intelligence, decentralised systems, and human-centric design. You’ll take the lead on applied research projects, building out proof-of-concept applications and AI-driven prototypes that are envisioned to power future global products and platforms. Working in an environment where academia meets industry, you’ll be expected to More ❯

critic architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement learning … technology forward. The Domain Applied ML team is an impactful group within Core ML, dedicated to accelerating the adoption of cutting-edge ML/AI across Google. We bridge the gap between research and production by developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling … media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who More ❯

critic architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement learning … technology forward. The Domain Applied ML team is an impactful group within Core ML, dedicated to accelerating the adoption of cutting-edge ML/AI across Google. We bridge the gap between research and production by developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling … media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who More ❯

Software Dev Eng. II, Worldwide Stores Accessibility Are you passionate about applying advanced AI to solve real-world challenges that impact millions of users? Do you want to be at the forefront of defining how AI can create more inclusive digital experiences? Do you want to build AI tooling and … If so, we have an exciting opportunity for you. We are seeking a highly skilled and passionate engineer to join our team and develop AI solutions for both internal tooling and customer-facing features. Whether or not you have prior accessibility experience, if you're an exceptional software engineer with … hear from you. Key job responsibilities As an SDE in our team, you will play a key role in designing and implementing internal generative AI tools that shape the future of AI-powered online shopping experiences for customers benefiting from accessible technology. You will develop solutions across the Software Development More ❯

Head of AI - Robotic Autonomy Are you ready to revolutionise the world of robotics as a Head of AI? Do you want to join a growing visionary team that's redefining human-machine collaboration? We’re searching for a Head of AI with expertise in Robotics, Perception, Navigation, and Planning … is a hands-on leadership role that combines technical innovation with strategic vision, offering a unique opportunity to pioneer advancements at the intersection of AI and robotics. Key responsibilities: Establish and own the adoption of state-of-the-art AI/ML and robotics technologies. Lead hands-on integration of … reasoning and knowledge-based frameworks. Develop robust robotic world models using VLA/VLM/LLM solutions or similar alternatives. Oversee end-to-end AI/ML workflows, including research, model training, and deployment in simulated and real-world environments. Advance semantic mapping, SLAM, and other critical technologies to enhance More ❯

Head of AI - Robotic Autonomy Are you ready to revolutionise the world of robotics as a Head of AI? Do you want to join a growing visionary team that's redefining human-machine collaboration? We’re searching for a Head of AI with expertise in Robotics, Perception, Navigation, and Planning … is a hands-on leadership role that combines technical innovation with strategic vision, offering a unique opportunity to pioneer advancements at the intersection of AI and robotics. Key responsibilities: Establish and own the adoption of state-of-the-art AI/ML and robotics technologies. Lead hands-on integration of … reasoning and knowledge-based frameworks. Develop robust robotic world models using VLA/VLM/LLM solutions or similar alternatives. Oversee end-to-end AI/ML workflows, including research, model training, and deployment in simulated and real-world environments. Advance semantic mapping, SLAM, and other critical technologies to enhance More ❯

Working within the AI Centre of Excellence (CoE) team, you will be at the cutting edge of merging advanced AI techniques with the Nationwide’s distinctive data assets to optimise business decisions and automate processes. This role offers the chance to expand the frontiers of AI applications in financial services … doing You will be instrumental in creating products that enhance efficiency, aid experts in prioritising tasks, and improve decision-making. Our growing suite of AI-powered products and services presents substantial opportunities for the reuse of foundational components through thoughtfully designed libraries and services that can be applied team-wide. … domains. You will have opportunity to work on a variety of projects spanning across Machine learning and Generative AI. About you Advanced degree in AI, Computer Science, Mathematics, or a related quantitative field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Solid More ❯

AI Engineer About Us We are developing a next-gen integration platform that allows SaaS businesses of any size to integrate their product with third-party products in a fast, powerful, and secure way. Our vision The number of SaaS companies is exploding. But making great integrations is still too … grow the product and the overall company at a record pace. About the role We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (e.g., GPT, Anthropic, and others). In this role … you will conduct research and development around AI, focusing on automating processes and development at StackOne. We're building a world where users of any SaaS can integrate with the tool of their choice in one click thanks to StackOne. We're convinced AI is pivotal to making this a More ❯

Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior … experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models … tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect More ❯

Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior … experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models … tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect More ❯

Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior … experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models … tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect More ❯