51 to 75 of 105 Multi-Agent System Jobs in London

algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures.Solid understanding of software engineering principles, including design patterns, data structures, and algorithms.Familiarity with cloud platforms ...

leading financial services clients. You’ll work hands‐on across the full AI engineering lifecycle, from architecting intelligent multi‐agent systems to deploying scalable production‐grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with ...

high-quality, scalable, and trustworthy AI solutions with confidence. You’ll be responsible for : leading the architecture and delivery of multi-agent AI systems for high-value business use cases. defining engineering standards across orchestration architectures, context engineering, MCP integration, memory ...

engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI ...

Build the multi-agent systems that automate work banks currently do by hand. You'll own the orchestration, the auditability, and the evals that make our agents trustworthy. Mid–senior IC 3 days/week in office Visa sponsorship available Thanks ...

will be a hands-on AI builder PM at the centre of that shift. You will prototype and ship multi-agent systems that automate the merchandising experiment lifecycle end to end, define the trust and governance patterns that let agents … topics accessible and to drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop ...

solutions across complex environments. As the lead Solutions Architect, you'll take ownership of designing and delivering autonomous AI systems, multi-agent architectures, AI-powered assistants, and intelligent workflow solutions. The Role Architect and deliver innovative Agentic AI solutions that solve … complex business problems. Design autonomous and multi-agent AI systems using AWS-native AI services and cloud architecture patterns. Build AI assistants, intelligent workflows, RAG solutions, and advanced orchestration frameworks. Engage directly with clients, leading demonstrations and translating AI capabilities into ...

Deloitte Operations ищет специалиста по разработке AI-агентов и многоагентных систем. Вы будете строить агентов, настраивать LLMs и оценивать конвейеры с использованием LLM в роли судьи против ground truth. Задачи включают доставку AI-решений end ...

design, build, and deploy autonomous AI agents that streamline workflows. You will collaborate across teams to translate needs into robust multi-agent systems, leveraging cutting-edge frameworks. Candidates should possess an advanced degree in a relevant field, with experience in building ...

Salesforce platform, advanced LLM techniques, data pipelines, and agentic orchestration. Guide Enterprise Implementations: Unblock complex data readiness, tool integration, and multi-agent orchestration challenges. Step in directly to help your teams assess customer technical readiness, remove deployment barriers, and codify standardized, repeatable … technical helm where code is being actively shipped, not just talking about it. Nice-to-Haves Hands-on experience building multi-agent systems, prompt engineering pipelines, or deterministic AI guardrails. Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery) and enterprise data ...

deployments, and provide technical leadership across the delivery lifecycle. Role requires hands-on expertise in AI engineering, LLMs, RAG, and multi-agent systems, with cloud experience across Azure, AWS, or GCP. Flexible/remote working and strong career progression are offered. ...

systems with immediate, measurable impact The role Build production-grade RAG pipelines across complex unstructured data Design and deploy multi-agent AI systems and orchestration frameworks Integrate LLMs across OpenAI, Anthropic, and open-source ecosystems Develop semantic search, vector database ...

delivery of agentic AI solutions using GCP, Vertex AI and Gemini. Design agent workflows and multi-agent architectures, integrating them with existing business systems. Define how solutions are monitored and ensure they are secure, scalable and reliable. Work … with the ability to explain your decisions and lead delivery. Practical experience with agent design patterns, multi-agent systems and monitoring. Confident communication with clients and technical teams. Experience in customer service or contact centre transformation. Salesforce ...

London. The successful candidate will have 6+ years of software engineering, strong Python skills, and hands-on experience with multi-agent AI systems and LLM #J-18808-Ljbffr ...

Deployed Architect to join our Professional Services team. You will design, deploy, and optimize production-grade AI infrastructure and multi-agent systems for enterprise customers. This role blends software development, infrastructure engineering, and customer-facing work across Kubernetes, cloud platforms ...

GenAI applications across Azure or GCP. You’ll work end-to-end on full-stack GenAI projects, implement RAG pipelines, multi-agent systems and deliver robust, auditable AI products with strong engineering practices. #J-18808-Ljbffr ...

Applied Artificial Intelligence Engineers to join multiple positions. You will build and ship agentic AI systems in production, designing multi-agent pipelines and integrating large language models and vision-language models into real workflows for defence and national security customers. This ...

hands-on experience and solid understanding of machine learning and deep learning methods Hands on experience building agentic AI/multi-agent systems within regulated or compliance-driven environments Recent hands-on experience training, deploying models and pipelines Ability to design ...

experience and solid understanding of machine learning and deep learning methods Hands‐on experience building agentic AI or multi‐agent systems in regulated or compliance-driven environments Recent hands‐on experience training and deploying models and pipelines Ability to design experiments ...

extrinsic metrics for model performance aligned with business goals Hands on experience building and deploying agentic AI/multi‐agent systems within regulated or compliance‐driven environments Experience with big data and solid written and spoken communication to effectively communicate technical ...

Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing the multi-agent pipelines, the reasoning and retrieval, the model integration, and the infrastructure that carries them into production. These are systems … system someone can stake a decision on. Key Responsibilities Build the systems themselves. You design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph or Haystack where they help, and building ...

workloads, degraded connectivity, secure infrastructure and fully offline or air-gapped deployments. What You'll Be Doing Design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph, LangChain, Haystack or similar where appropriate. Develop … generative AI or agentic systems. A strong track record operating at Senior, Lead or equivalent engineering level. Commercial experience building multi-agent or agentic AI systems for production , rather than simply integrating existing tools. Strong Python development skills and excellent software ...

Role Purpose Provide specialist security leadership for Agentic AI, autonomous workflows, multi-agent systems and LLM-powered applications. The role will focus on protecting AI agents, tools, memory, data and orchestration layers from misuse, adversarial attacks and unintended actions. Key Responsibilities … Lead threat modelling for AI agents, tool-calling architectures, autonomous workflows and multi-agent ecosystems. Assess security risks across prompts, models, memory, retrieval, APIs, plugins, tools and identity boundaries. Conduct AI red teaming and adversarial testing for agent ...

ExTrac's AI team, building Co-Analyst and the analytical AI features around it. Co-Analyst is a user-facing multi-agent system that works alongside intelligence analysts to research and write reports. A planning loop decomposes an analyst … hard problems: an engineer who can independently deliver well-scoped features and components, and who is building towards owning more of the system end to end. What the job involves Agentic and analytical AI features Build and improve components of the agent loop itself ...

embedded within a research team, contributing directly to cutting-edge work around large AI models, reinforcement learning, synthetic data and multi-agent systems. You'll combine hands‐on engineering with research, building and experimenting with ML systems, developing robust research infrastructure … ambiguous research environment where priorities can change quickly. Experience with PyTorch, LLMs, LLM post-training, reinforcement learning, generative AI or multi-agent systems would be particularly valuable. A research-focused Master's or PhD in ML/AI is advantageous ...