City Of London, England, United Kingdom Hybrid/Remote Options
Bondaval
teams. Key Projects Launching new products into new markets. Building on our position as the only syndications platform in the market. Developing the platform into a multi-credit platform (MCP) using AI and Machine Learning. Integrating directly with banking clients to expand credit risk connectivity. Driving our continued European expansion. You’ll Need Essential: Credit industry experience (Trade finance, banking More ❯
AI would support that Designing solutions for them that use readily available tools from CoPilot and Gemini, to Power Automate, and Google AI Studio. Developing advanced prompts, custom and MCP enabled GPTs, Gems and CoPilot agents, and simple agentic automation, co-created with senior leaders and other domain experts from our clients using appropriate tooling. You will plan and facilitate More ❯
AI would support that Designing solutions for them that use readily available tools from CoPilot and Gemini, to Power Automate, and Google AI Studio. Developing advanced prompts, custom and MCP enabled GPTs, Gems and CoPilot agents, and simple agentic automation, co-created with senior leaders and other domain experts from our clients using appropriate tooling. You will plan and facilitate More ❯
shipping at least one AI product. Ideally to enterprise customers Excellent systems design skills (you will prove this during a tough interview) Opportunities for growth Experimenting with new frontiers MCP, A2A, etc Building agents This role starts as tech lead but there is scope for progression in a rapidly growing company Salary: Up to £ 130,000 plus equity and bonus More ❯
shipping at least one AI product. Ideally to enterprise customers Excellent systems design skills (you will prove this during a tough interview) Opportunities for growth Experimenting with new frontiers MCP, A2A, etc Building agents This role starts as tech lead but there is scope for progression in a rapidly growing company Salary: Up to £ 130,000 plus equity and bonus More ❯
build real-time collaboration features The ideal candidate will have: 1+ year of fullstack experience (open to senior/staff-level engineers too) Production experience with Model Context Protocol (MCP) is highly desired Experience working with LLMs, RAGs, Langchain, OpenAI, Claude etc is beneficial Generative AI Product experience Production-grade Python skills Frontend experience with Vue + TypeScript , or React More ❯
build real-time collaboration features The ideal candidate will have: 1+ year of fullstack experience (open to senior/staff-level engineers too) Production experience with Model Context Protocol (MCP) is highly desired Experience working with LLMs, RAGs, Langchain, OpenAI, Claude etc is beneficial Generative AI Product experience Production-grade Python skills Frontend experience with Vue + TypeScript , or React More ❯
APIs, that every product or tool can use. The API allows access to any of the LLM providers, taking care of API compatibility while adding telemetry, analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the box. Why join this opportunity This is an opportunity to build a novel infrastructure product that will be More ❯
APIs, that every product or tool can use. The API allows access to any of the LLM providers, taking care of API compatibility while adding telemetry, analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the box. Why join this opportunity This is an opportunity to build a novel infrastructure product that will be More ❯
DeepEval with automated testing pipelines for shopping journeys, rapidly integrate e-commerce APIs (payment processors, inventory management, CRM systems) with secure frontend implementations whilst maintaining security and PCI compliance MCP Integration: Implement Model Context Protocol servers for seamless tool integration and standardised agent communication Fast Deployment & DevOps: Implement rapid CI/CD pipelines with containerised deployments, automated testing for e More ❯
APIs, that every product or tool can use. The API allows access to any of the LLM providers, taking care of API compatibility while adding telemetry, analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the box. Why join You understand that the best development teams need the best tooling and processes. You understand More ❯
APIs, that every product or tool can use. The API allows access to any of the LLM providers, taking care of API compatibility while adding telemetry, analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the box. Why join You understand that the best development teams need the best tooling and processes. You understand More ❯
designers to discover the right interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers and dev tools later. ✅ This role More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Skippr
designers to discover the right interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers and dev tools later. ✅ This role More ❯
success metrics. Guide the team on technical standards, code quality, and solution architecture. Support enablement and training sessions for the teams, promoting safe citizen development. Advise on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI advancements; recommend adoption of … delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in agile delivery, technical leadership, and More ❯
success metrics. Guide the team on technical standards, code quality, and solution architecture. Support enablement and training sessions for the teams, promoting safe citizen development. Advise on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI advancements; recommend adoption of … delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in agile delivery, technical leadership, and More ❯
next-generation AI capabilities at scale. We’re hiring an experienced, hands-on Machine Learning Engineer to architect and deliver production-grade AI system — with a strong focus on MCP, RAG, and real-world deployment . This project is a green field build out of AI capabilities. Whoever joins has an opportunity to work on the foundational architectural definition and … strategy into measurable business outcomes What you bring Expert Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering roles Send us your profile now for immediate consideration. November start. More ❯
next-generation AI capabilities at scale. We’re hiring an experienced, hands-on Machine Learning Engineer to architect and deliver production-grade AI system — with a strong focus on MCP, RAG, and real-world deployment . This project is a green field build out of AI capabilities. Whoever joins has an opportunity to work on the foundational architectural definition and … strategy into measurable business outcomes What you bring Expert Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering roles Send us your profile now for immediate consideration. November start. More ❯
components that align with enterprise standards and support cross-team reuse. Driving adoption of best-in-class DevOps and Platform Engineering techniques — researching and piloting emerging technologies such as MCP Servers , Airflow , Grafana Cloud , and Crossplane to keep the platform modern and efficient. Championing security, governance, and observability through integrated tooling ( CloudWatch , CloudTrail , Prometheus , Grafana , and centralised observability). What … to Crossplane for cloud-agnostic resource provisioning and multi-cloud management. Familiarity with GitOps practices and managing deployments declaratively through pipelines. Interest in AI/ML workflow enablement and MCP Server integrations for data-driven automation. Understanding of Platform as a Product , Backstage developer portals , and the developer experience lifecycle . Experience with data pipeline orchestration using Apache Airflow or More ❯
components that align with enterprise standards and support cross-team reuse. Driving adoption of best-in-class DevOps and Platform Engineering techniques — researching and piloting emerging technologies such as MCP Servers , Airflow , Grafana Cloud , and Crossplane to keep the platform modern and efficient. Championing security, governance, and observability through integrated tooling ( CloudWatch , CloudTrail , Prometheus , Grafana , and centralised observability). What … to Crossplane for cloud-agnostic resource provisioning and multi-cloud management. Familiarity with GitOps practices and managing deployments declaratively through pipelines. Interest in AI/ML workflow enablement and MCP Server integrations for data-driven automation. Understanding of Platform as a Product , Backstage developer portals , and the developer experience lifecycle . Experience with data pipeline orchestration using Apache Airflow or More ❯
repos, case studies, or live services). Desired Node.js alongside Python for services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores … . Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). More ❯
repos, case studies, or live services). Desired Node.js alongside Python for services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores … . Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). More ❯
