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 ❯
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 ❯
production. As a Senior Machine Learning Engineer, you’ll play a key role in developing and integrating cutting-edge AI solutions—including LLMs and AIagents —into our products and operations at a leading SaaS company. You’ll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries … DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents , and evaluate their practical applicability. Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of experience in machine learning engineering … ML scientists, engineers, and stakeholders. Preferred Qualifications PhD in Computer Science, Machine Learning, Engineering , or a related technical discipline. Experience with multi-agent RAG systems or AIagents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering and building evaluation pipelines for generative models. Exposure to Snowflake or similar cloud data platforms. Broader data science experience More ❯
production. As a Senior Machine Learning Engineer, you'll play a key role in developing and integrating cutting-edge AI solutions-including LLMs and AIagents -into our products and operations at a leading SaaS company. You'll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries … DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents , and evaluate their practical applicability. Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of experience in machine learning engineering … ML scientists, engineers, and stakeholders. Preferred Qualifications PhD in Computer Science, Machine Learning, Engineering , or a related technical discipline. Experience with multi-agent RAG systems or AIagents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering and building evaluation pipelines for generative models. Exposure to Snowflake or similar cloud data platforms. Broader data science experience More ❯
lifecycle. About the Job: 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 … systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks Create robust agentic workflows enabling AIagents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG) Fine-tune and optimize pre-trained large language models and multi … resource utilization Excellent communication skills and a collaborative mindset, with experience working in multi-disciplinary, agile teams Preferable to have: Experience in deep learning frameworks Experience working with agenticAI frameworks Experience building user-facing front-end applications Knowledge and implementation of Model Context Protocol Why Capco? A career at Capco is a chance to help reshape the More ❯
lifecycle. About the Job: 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 … systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks Create robust agentic workflows enabling AIagents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG) Fine-tune and optimize pre-trained large language models and multi … resource utilization Excellent communication skills and a collaborative mindset, with experience working in multi-disciplinary, agile teams Preferable to have: Experience in deep learning frameworks Experience working with agenticAI frameworks Experience building user-facing front-end applications Knowledge and implementation of Model Context Protocol Why Capco? A career at Capco is a chance to help reshape the More ❯
lifecycle. About the Job: 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 … systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks Create robust agentic workflows enabling AIagents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG) Fine-tune and optimize pre-trained large language models and multi … resource utilization Excellent communication skills and a collaborative mindset, with experience working in multi-disciplinary, agile teams Preferable to have: Experience in deep learning frameworks Experience working with agenticAI frameworks Experience building user-facing front-end applications Knowledge and implementation of Model Context Protocol Why Capco? A career at Capco is a chance to help reshape the More ❯
About us We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world . We iterate rapidly to build products that utilise the bleeding-edge of generative AI. Products that are powered by the latest foundation LLM’s including OpenAI’s GPT-4o and o1 along with Anthropic … edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AIagents, and agentic architecture, and who wants to work at the forefront of AI technology in production use cases. We are looking for Software Engineers who have transitioned … engineering and have made the transition into AI Engineering, or are motivated to make that transition. You are excited about the potential of LLMs, AIagents, and agentic architectures. You have in depth experience with full stack or backend Python development. You value shipping early and often to get customer feedback and then iterating quickly More ❯
london, south east england, united kingdom Hybrid / WFH Options
Rocket Lab
About us We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world . We iterate rapidly to build products that utilise the bleeding-edge of generative AI. Products that are powered by the latest foundation LLM’s including OpenAI’s GPT-4o and o1 along with Anthropic … edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AIagents, and agentic architecture, and who wants to work at the forefront of AI technology in production use cases. We are looking for Software Engineers who have transitioned … engineering and have made the transition into AI Engineering, or are motivated to make that transition. You are excited about the potential of LLMs, AIagents, and agentic architectures. You have in depth experience with full stack or backend Python development. You value shipping early and often to get customer feedback and then iterating quickly More ❯
About us We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world We iterate rapidly to build products that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with … edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AIagents, and agentic architecture, and who wants to work at the forefront of AI technology in production use cases. We are looking for Software Engineers who have transitioned … engineering and have made the transition into AI Engineering, or are motivated to make that transition. You are excited about the potential of LLMs, AIagents, and agentic architectures. You have in depth experience with full stack or backend Python development. You value shipping early and often to get customer feedback and then iterating quickly More ❯
Job Description 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 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 … 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 ❯
london, south east england, united kingdom Hybrid / WFH Options
ZipRecruiter
Job Description 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 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 … 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 ❯
of Machine Learning and key stakeholders across Motorway to identify and prioritise high-impact use cases for Generative AI. Develop end-to-end AI solutions, including agenticAI systems that dynamically adapt their interactions to evolving goals, solving real problems. Implement comprehensive evaluation methodologies and observability frameworks specifically tailored to assess performance, reliability, and safety of … agenticAI solutions. Help to shape and develop Motorway's Generative AI strategy Work across the organisation to run workshops and help upskill colleagues best practices around agentic frameworks, reasoning models, tools (inc. Model Context Protocol), and AI solution deployments. Requirements Demonstrable experience designing, developing, and deploying Generative AI solutions that deliver … as langchain, Pydantic-AI, Google ADK, OpenAI's Assistants, litellm, etc (it's not required to know them all), and an understanding of how they facilitate agenticAI development. Strong practical knowledge of prompt engineering techniques and advanced LLM concepts, such as CoT reasoning, prompt chaining, iterative refinement, RAG techniques, MCP, multi-agent architectures, and a More ❯
About Us DeepOpinion is the enterprise-grade Agentic Automation platform enabling teams to put their complex knowledge work on autopilot. By combining AgenticAI, business process digitization and no-code development in a single platform, teams can create AI apps in minutes to achieve 90%+ straight-through processing. With €11 million raised in a Series … West and Alpha Intelligence Capital, and the support of existing investors Lunar Ventures and Stride VC, we are accelerating our vision to become the go-to provider for AI-driven automation solutions across the globe. About the Role As Senior Backend Developer in the Product team, you are responsible for building features and designing and implementing new endpoints. … This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores More ❯
Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the … heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AIagents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced … industry and/or geographical information systems (GIS) Experience with cloud infrastructure Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph TensorFlow, etc ) PySpark More ❯
Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the … heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AIagents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced … industry and/or geographical information systems (GIS) Experience with cloud infrastructure Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph, , TensorFlow, etc...) PySpark More ❯
We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world We iterate rapidly to build products that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with others from … solve legal challenges for their clients. Because of this we will continue to push ahead and use the most intelligent and the fastest foundational models to build an AI Assistant that can provide accurate, efficient, and reliable support to legal professionals in the world of real estate. Already the trusted ally of thousands of lawyers and commercial property … the criteria. It would also be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of More ❯
We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world We iterate rapidly to build products that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI’s GPT-4.1, o3 and o4-mini along with others from … solve legal challenges for their clients. Because of this we will continue to push ahead and use the most intelligent and the fastest foundational models to build an AI Assistant that can provide accurate, efficient, and reliable support to legal professionals in the world of real estate. Already the trusted ally of thousands of lawyers and commercial property … the criteria. It would also be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of More ❯
About us We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world We iterate rapidly to build products that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with … solve legal challenges for their clients. Because of this we will continue to push ahead and use the most intelligent and the fastest foundational models to build an AI Assistant that can provide accurate, efficient, and reliable support to legal professionals in the world of real estate. Already the trusted ally of thousands of lawyers and commercial property … the criteria. It would also be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of More ❯
About us We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world We iterate rapidly to build products that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI’s GPT-4.1, o3 and o4-mini along with … solve legal challenges for their clients. Because of this we will continue to push ahead and use the most intelligent and the fastest foundational models to build an AI Assistant that can provide accurate, efficient, and reliable support to legal professionals in the world of real estate. Already the trusted ally of thousands of lawyers and commercial property … the criteria. It would also be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of More ❯
We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world We iterate rapidly to build products that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI’s GPT-4.1, o3 and o4-mini along with others from … solve legal challenges for their clients. Because of this we will continue to push ahead and use the most intelligent and the fastest foundational models to build an AI Assistant that can provide accurate, efficient, and reliable support to legal professionals in the world of real estate. Already the trusted ally of thousands of lawyers and commercial property … the criteria. It would also be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of More ❯
About us We are Orbital an AI company on a mission to automate the legal segment of every property transaction in the world We iterate rapidly to build products that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI’s GPT-4.1, o3 and o4-mini along with … solve legal challenges for their clients. Because of this we will continue to push ahead and use the most intelligent and the fastest foundational models to build an AI Assistant that can provide accurate, efficient, and reliable support to legal professionals in the world of real estate. Already the trusted ally of thousands of lawyers and commercial property … the criteria. It would also be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Staffworx Limited
AIAgents Solution Architect - Future Talent (Q2/Q3 opportunities) for leading GSI in the software engineering market AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML models, cloud computing, and scalable system architecture. This role requires expertise … in architecting intelligent agents, optimizing cloud-based deployments, and integrating AI services into enterprise applications. Key Responsibilities: Architect and design AI-powered agent solutions that integrate with enterprise systems and cloud platforms. Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions. Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB … ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML engineers to integrate machine learning models into cloud-native applications. Ensure security, scalability, and reliability of AI agent solutions in production environments. Design event More ❯
Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of … Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of our platform, including: AIagents improving customer support and changing how we travel Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for … Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling More ❯
