enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases-such as AI-powered applications and agents-on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities. By orchestrating cross-functional teams … of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AIagents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business … User Centricity (Essential) Supplier Relationship Management (Essential) What will be your key responsibilities? Use Case Delivery Leadership : Own the end-to-end delivery of GenAI use cases-including applications, agents, and copilots-built on Mars-approved GenAI platforms, ensuring timely, value-driven execution across business segments. Product Lifecycle Management : Manage the full product lifecycle for GenAI solutions, from ideation More ❯
enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases-such as AI-powered applications and agents-on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities. By orchestrating cross-functional teams … of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AIagents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business … User Centricity (Essential) Supplier Relationship Management (Essential) What will be your key responsibilities? Use Case Delivery Leadership : Own the end-to-end delivery of GenAI use cases-including applications, agents, and copilots-built on Mars-approved GenAI platforms, ensuring timely, value-driven execution across business segments. Product Lifecycle Management : Manage the full product lifecycle for GenAI solutions, from ideation More ❯
enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases-such as AI-powered applications and agents-on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities. By orchestrating cross-functional teams … of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AIagents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business … User Centricity (Essential) Supplier Relationship Management (Essential) What will be your key responsibilities? Use Case Delivery Leadership : Own the end-to-end delivery of GenAI use cases-including applications, agents, and copilots-built on Mars-approved GenAI platforms, ensuring timely, value-driven execution across business segments. Product Lifecycle Management : Manage the full product lifecycle for GenAI solutions, from ideation More ❯
using Terraform or AWS CDK. Exposure to data streaming platforms like Kafka is a bonus. Background in performance optimization, scalability, and security best practices. Desired Skills: Knowledge of AI and Emerging Technologies (Good to have) Understanding of how AI capabilities can be integrated into enterprise applications to enhance user experience, decision-making, and automation. Exposure to … modern AI application patterns such as: Retrieval-Augmented Generation (RAG) for augmenting LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search … to support semantic search and recommendation systems. Building intelligent features like AI-powered chatbots , assistants , and question-answering systems using LLMs and conversational agents. Awareness of agenticAI concepts — orchestrating multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain More ❯
About the Role: (Retail experience) We are seeking an experienced Cloud Architect with strong domain expertise in the retail sector and technical proficiency in vector search technologies and AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google … solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations. • Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases. • Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. • Lead … Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such More ❯
Full-time, Co-Founder Equity Position Compensation: Competitive base + significant equity stake (3-8%) Funding Stage: Seed (£850k) The Opportunity Join us in building the next-generation AI platform that will transform London's £200B+ financial services sector. FinanceGPT London combines cutting-edge AI with deep UK regulatory expertise and City-specific market intelligence. We … to a £3-8B exit, serving investment banks, asset managers, hedge funds, and fintech companies across The City, Canary Wharf, and beyond. What You'll Build Core AI Platform Advanced LLM Integration: Deploy and fine-tune GPT …/Claude models with financial domain expertise Real-time Market Intelligence: Process millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AIAgents: Build intelligent agents for trading, compliance, research, and risk management Predictive Analytics: Develop ML models for earnings prediction, M&A identification, and market regime detection Technical Infrastructure Cloud More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Anson McCade
Generative & AgenticAI Engineer - Google/GCP focus Location: London (remote-first) Salary: £80,000 – £130,000 (DOE) We’re hiring a highly skilled and innovation-driven Generative & AgenticAI Engineer with a Google/GCP focus to join a forward-thinking AI engineering team pushing the boundaries of what's possible with large … language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using … to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. Develop and maintain robust APIs to connect AIagents to internal and third-party services. Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. Ensure responsible AI use through tooling like Guardrails More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Anson McCade
GCP Data & AI Architect Location: London (remote-first) Salary: £100,000 – £130,000 (DOE) We’re hiring a highly skilled and innovation-driven GCP Data & AI Architect with a Google/GCP focus to join a forward-thinking AI engineering team pushing the boundaries of what's possible with large language models and autonomous … agents. This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: • Rapidly design and develop LLM and agent-based prototypes across varied use cases. • Build agentic workflows and reasoning pipelines using frameworks such as LangChain … to improve LLM relevance and contextual understanding. • Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. • Develop and maintain robust APIs to connect AIagents to internal and third-party services. • Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. • Ensure responsible AI use through tooling like Guardrails More ❯
Visa Sponsorship, you must hold full right to work in the UK to apply** Job Title: AI Engineer Location: UK based My client builds AIAgents for the Financial Services sector. Their AIAgents are fully configurable to the mission critical needs of front line teams. The agents help with a … to creating custom content. My client multiplies the productivity of teams which drives accelerated growth, whilst maintaining lower costs. My client is seeking a highly skilled and experienced AI Engineer to join their growing team. In this role, you will play a crucial part in developing and deploying cutting-edge … AI/ML solutions within the financial services domain. You will work closely with the Founders and team to build the world's leading AIAgents for the financial services sector. Responsibilities: ● Design, develop, and deploy high-quality AI/ML capabilities. ● Research and evaluate new AI/ML algorithms and More ❯
About us We are a seed-stage AI start-up backed by leading European and US investors … . Our founders have delivered cutting-edge AI at world-class research labs and high-growth technology companies. Now, operating in stealth, we apply next-generation agenticAI to overhaul mission-critical enterprise workflows that still depend on error-prone, manual processes. Our vision is to bring these high-value operations into the modern era, making … focus on building for enterprise data requirements. You will collaborate closely with customer teams to architect and implement sophisticated data pipelines and APIs, directly fuelling our cutting-edge agenticAI with terabytes of real-world data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a More ❯
JOB ALERT: AI/ML ENGINEER @ Letly Ready to build the future of AI in real estate? ️ Letly is on a mission to automate rental workflows end-to-end — managing trillions in global rent spend with cutting-edge agentic AI. Backed by a fresh pre-seed round , we’re hiring ONE exceptional AI/… ML Engineer to join our founding team and drive real-world AI into production. This role is perfect for you if you: ✅ Are a strong software engineer with deep knowledge of data structures, system design, OOP ✅ Have hands-on experience with LLMs , ML/DL frameworks like PyTorch, TensorFlow, LangChain ✅ Know how to deploy, monitor & optimise ML models … in real-world systems ✅ Are comfortable with MLOps tooling (CI/CD, Docker, Kubernetes) & cloud platforms (GCP/AWS/Azure) ✅ Want to build first-of-its-kind AI infrastructure with a lean, focused, high-performing team ✅ Love building smart, scalable tech that makes a massive impact What you’ll do: Build production-grade AI/ More ❯
A major organisation is seeking a highly skilled AI Specialist - Automation & Integration to develop innovative solutions across business operations. This role is ideal for someone with a strong background and passion for using AI to streamline workflows, boost efficiency, and deliver measurable impact through advanced automation. Key Responsibilities: Design and deploy AI-powered solutions … internal AI assistants with trusted business knowledge. Rapidly prototype and iterate on Proofs of Concept to test ideas and gather user feedback early. Use AIagents to automate repetitive, rule-based tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share … feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A More ❯
A major organisation is seeking a highly skilled AI Specialist - Automation & Integration to develop innovative solutions across business operations. This role is ideal for someone with a strong background and passion for using AI to streamline workflows, boost efficiency, and deliver measurable impact through advanced automation. Key Responsibilities: Design and deploy AI-powered solutions … internal AI assistants with trusted business knowledge. Rapidly prototype and iterate on Proofs of Concept to test ideas and gather user feedback early. Use AIagents to automate repetitive, rule-based tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share … feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A More ❯
A major organisation is seeking a highly skilled AI Specialist - Automation & Integration to develop innovative solutions across business operations. This role is ideal for someone with a strong background and passion for using AI to streamline workflows, boost efficiency, and deliver measurable impact through advanced automation. Key Responsibilities: Design and deploy AI-powered solutions … internal AI assistants with trusted business knowledge. Rapidly prototype and iterate on Proofs of Concept to test ideas and gather user feedback early. Use AIagents to automate repetitive, rule-based tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share … feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A More ❯
A major organisation is seeking a highly skilled AI Specialist - Automation & Integration to develop innovative solutions across business operations. This role is ideal for someone with a strong background and passion for using AI to streamline workflows, boost efficiency, and deliver measurable impact through advanced automation. Key Responsibilities: Design and deploy AI-powered solutions … internal AI assistants with trusted business knowledge. Rapidly prototype and iterate on Proofs of Concept to test ideas and gather user feedback early. Use AIagents to automate repetitive, rule-based tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share … feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A More ❯
A major organisation is seeking a highly skilled AI Specialist - Automation & Integration to develop innovative solutions across business operations. This role is ideal for someone with a strong background and passion for using AI to streamline workflows, boost efficiency, and deliver measurable impact through advanced automation. Key Responsibilities: Design and deploy AI-powered solutions … internal AI assistants with trusted business knowledge. Rapidly prototype and iterate on Proofs of Concept to test ideas and gather user feedback early. Use AIagents to automate repetitive, rule-based tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share … feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A More ❯
A major organisation is seeking a highly skilled AI Specialist - Automation & Integration to develop innovative solutions across business operations. This role is ideal for someone with a strong background and passion for using AI to streamline workflows, boost efficiency, and deliver measurable impact through advanced automation. Key Responsibilities: Design and deploy AI-powered solutions … internal AI assistants with trusted business knowledge. Rapidly prototype and iterate on Proofs of Concept to test ideas and gather user feedback early. Use AIagents to automate repetitive, rule-based tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share … feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A More ❯
data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Position Summary We are hiring a AI & Data Science Lead to head our AI Centre of Excellence. This role consolidates responsibilities across Generative AI (GenAI) , traditional Machine Learning (ML) , and early-stage … Data Science . You will shape and deliver the technical strategy for our AI initiatives, while also acting as a hands-on engineer, mentor, and leader. You will be responsible for delivering high-impact GenAI use cases, establishing core AI platform capabilities, supporting a Machine Learning Engineer on classical ML projects, and building the foundation for … in senior product, engineering, and vendor forums. Generative AI Delivery Lead design, prototyping, and deployment of GenAI use cases (e.g. co-pilots, AIagents, RAG systems). Establish scalable LLMOps practices including model evaluation, governance, and lifecycle automation. Maintain awareness of emerging models and integration strategies. Machine Learning Engineering: Support the ML Engineer More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Staffworx
Build Production-Grade Agentic Architectures for Global B2C Platforms We're seeking a deeply technical AI Solution Architect to lead the design and delivery of agenticAI systems across financial and retail B2C enterprises. You’ll architect large-scale AIagents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud … driven architectures (e.g., Lambda + SQS/SNS + Step Functions) to enable scalable agent workflows Develop and manage API layers (REST, GraphQL, WebSockets) to orchestrate intelligent interactions between agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock … or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination , intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AIMore ❯
The Company A fast-scaling RegTech startup is looking for a Senior AI Engineer to help shape and scale its next-generation regulatory change management platform, powered by GenAI and automation. Backed by a major global bank and already working with several high-profile financial institutions, the company combines start-up agility with enterprise-grade ambition and infrastructure. … the company is preparing for public launch with a strong client pipeline and a high-calibre technical team. The Role You are accountable for the quality of our AI output. Your are responsible for the design, experimentation, and deployment of cutting-edge AI solutions that directly impact our customers. What Success Looks Like AI … solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agenticAI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong communication skills and a passion for clear, concise documentation. More ❯
Azure AI Architect (London, UK) Get The Future You Want! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. … the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are seeking a talented and experienced Azure AI Architect to join our team at Capgemini FS. In this role, you will be responsible for leading the delivery of projects within the Financial Services industry. The ideal candidate … Foundry, LLMs, and Azure machine learning services. Enhance and scale AI Platform, integrating RAG, LLMs, and ML pipelines into real-world applications. Develop AIagents with Azure AI Foundry, leveraging open standards such as MCP and A2A as well as principles of Multi-Agent Systems. Work closely with engineering teams to implement More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Futuria
About the Role As a Full Stack AI Developer at Futuria, you’ll play a pivotal role in building the systems that power our AI-driven applications—from intuitive front-end experiences to robust back-end infrastructures. You’ll be responsible for developing, deploying, and optimizing LLM-based applications in production environments, while maintaining scalable APIs … user-centric solutions. You’ll be bridging the gap between cutting-edge AI and real-world needs, contributing directly to products that redefine how humans and intelligent agents collaborate. Key Responsibilities Design, implement, and maintain scalable back-end systems and RESTful APIs using Python (FastAPI/D) Apply domain-driven design and test-driven development to build … the norm. Comfortable bringing structure to ambiguity and collaborating across disciplines, you’re motivated by the opportunity to build meaningful, production-ready tools at the frontier of LLMs, agenticAI, and enterprise software. Essential: Strong experience with Python and proficiency in FastAPI or Django Proven experience building secure, enterprise-grade, public-facing software in an agile delivery environment More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Switch Tech Talent
Role: Senior AI Engineer (x2) Location … Shoreditch, London (hybrid - 3 days per week) Salary: £80,000 - £110,000, plus benefits (below) Key Skills: Python, AI/LLMs, LangChain/LangGraph, AIAgents, AWS Industry: B2B SaaS Start-up A fast-growing B2B SaaS start-up is looking for a talented Senior AI Engineer to set up and co-lead … about delivering real-world, user-facing AI features at scale. You will: Establish the AI engineering function from the ground up Build and deploy intelligent agents and scalable content generation tools Integrate LLMs and orchestrate complex workflows using state-of-the-art frameworks Collaborate closely with product and design to prototype, ship and iterate quickly More ❯
Lead AI Engineer, LLMs & Biometric Access Control London, UK (Hybrid) Full-Time | Permanent Top-Tier Financial Institution | Cutting-Edge AI Division A leading global finance company is seeking a Lead AI Engineer to help build the future of secure, intelligent systems. This is a unique opportunity to apply your expertise in large language models … recognition, voice ID, and other modalities. Collaborate with engineers, researchers, and product teams to create secure, explainable, and scalable AI systems . Lead initiatives to integrate AgenticAI frameworks for autonomous planning, execution, and human-AI collaboration. Mentor team members and drive technical excellence across research and production environments. Ideal Profile 5+ years in … privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience building real-time AI systems in production environments . Exposure to AgenticAI concepts or multi-agent systems is a strong plus. Due to the high volume of interest in this role, we may not be able to respond to every More ❯
About us At Diligent, we are on a mission to help fintechs and banks catch fraudulent businesses. We build LLM agents to automate risk investigations during business onboarding and monitoring. For example, we can help investigate the online presence of businesses to detect high-risk activities, identify reputation-compromising signals, comb through news articles to extract new risk insights … legitimacy of businesses. We already work with leading fintech unicorns and banks, are growing fast and we’re looking for ambitious problem-solvers who are excited about using AI to tackle financial crime at a global scale. If you're passionate about making a real impact in the fight against fraud, we’d love to have you on … empathy and is excited by working side-by-side with financial crime teams to solve critical problems. Build integration and product infrastructure for LLMs. Give Diligent AIagents the infrastructure, data sources and tools they need to automate workflows for financial compliance teams. Within weeks: Evolve schemas and bring structure to non-deterministic outputs. Lead customer calls More ❯