Functions team. You will be expected to: Build Agentic AI and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data More ❯
City of London, Greater London, UK Hybrid / WFH Options
Deloitte
Functions team. You will be expected to: Build Agentic AI and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data More ❯
development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Experience with financial data APIs or market data feeds Nice to have Azure AI Services or Cognitive More ❯
development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Experience with financial data APIs or market data feeds Nice to have Azure AI Services or Cognitive More ❯
youll be part of a small, high-trust team solving big, bold problems. What Youll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from ingestion to real-time inference Deploying to cloud and edge environments More ❯
experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Able to be SC cleared - Must hold British passport (we have MoD projects) There are also some More ❯
City of London, Greater London, UK Hybrid / WFH Options
MBN Solutions
experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Able to be SC cleared - Must hold British passport (we have MoD projects) There are also some More ❯
/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What Theyre Looking For: Strong background in Software or Platform Engineering More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation
you What Youll Do Design, implement, and ship production-grade LLM applications (prompting, RAG, evaluation, deployment). Develop and refine AI pipelines and retrieval systems using tools like LangChain, LangGraph, or custom frameworks. Own model evaluation frameworks to ensure quality, factuality, and performance across real-world workloads. Collaborate closely with the founding engineering team to build scalable infrastructure for AI More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation
you What Youll Do Design, implement, and ship production-grade LLM applications (prompting, RAG, evaluation, deployment). Develop and refine AI pipelines and retrieval systems using tools like LangChain, LangGraph, or custom frameworks. Own model evaluation frameworks to ensure quality, factuality, and performance across real-world workloads. Collaborate closely with the founding engineering team to build scalable infrastructure for AI More ❯
City of London, Greater London, UK Hybrid / WFH Options
Aspect
solutions end-to-end while also helping shape the companys broader AI strategy. You Will: Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals. Develop and fine-tune LLMs … learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI. Knowledge of AI security, model More ❯
organization. Define and communicate the long-term Data Science roadmap for agentic AI within Planning. Drive the design and deployment of multi-agent workflows using orchestration frameworks such as LangGraph, ensuring scalability, reliability, and measurable business impact. Partner with Product, Engineering, and stakeholders to align agentic AI capabilities with planner workflows and business objectives. Establish best practices for experimentation, evaluation … in Python and a strong interest in general software engineering principles. You have worked with common python frameworks (Numpy, Pandas) Demonstrated expertise with agentic AI systems , including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). Strong foundation in classical machine learning and applied modeling techniques , including regression, classification, clustering, and practical experience with models used in econometrics or More ❯
Job Title: Prompt Engineer/AI Engineer Location: London About GIMO: Global Interactive Marketing Online (GIMO) Global Interactive Marketing Online (GIMO) is a London-based leading independent marketing agency and software developer within the iGaming industry. GIMO works in close More ❯
City of London, Greater London, UK Hybrid / WFH Options
NetBet
Job Title: Prompt Engineer/AI Engineer Location: London About GIMO: Global Interactive Marketing Online (GIMO) Global Interactive Marketing Online (GIMO) is a London-based leading independent marketing agency and software developer within the iGaming industry. GIMO works in close More ❯
Europe, with a significant presence in Poland and Ukraine. Our tech stack includes Python with a React frontend, deployed on AWS in Kubernetes clusters, using GCP for Gemini and LangGraph for agent orchestration. While youll have the resources of a large organisation, this team operates with a startup mentality: embracing rapid iteration, a cross-functional mindset, and end-to-end … microservice architectures Experience building web applications, preferably including React Familiar with software development methodologies, scaled system design, and best practices Knowledge of AWS and cloud-native architectures; familiarity with LangGraph a plus Strong communication skills, able to explain technical problems clearly to varied audiences Excellent organisational and technical writing skills Experience working with remote and geographically distributed teams a plus More ❯
Europe, with a significant presence in Poland and Ukraine. Our tech stack includes Python with a React frontend, deployed on AWS in Kubernetes clusters, using GCP for Gemini and LangGraph for agent orchestration. While youll have the resources of a large organisation, this team operates with a startup mentality: embracing rapid iteration, a cross-functional mindset, and end-to-end … microservice architectures Experience building web applications, preferably including React Familiar with software development methodologies, scaled system design, and best practices Knowledge of AWS and cloud-native architectures; familiarity with LangGraph a plus Strong communication skills, able to explain technical problems clearly to varied audiences Excellent organisational and technical writing skills Experience working with remote and geographically distributed teams a plus More ❯
Clearance Job description We are looking for a Senior Full Stack AI Engineer with strong hands-on experience in building advanced multi agent AI systems using frameworks such as LangGraph or similar. You will be responsible for designing, developing and optimising AI pipelines that bring intelligent agent based systems to life, from research through to real world deployment. This includes … into reliable, production ready systems that perform well even in challenging or resource limited environments. Required Skills & Experience MOD Security Clearance (or ability to obtain). Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python for AI development and Bash More ❯
Chroma, FAISS, Milvus) with sensitive document ingestion pipelines - Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity - Implement agent orchestration using LangChain/LangGraph in completely offline environments - Design secure document processing for classified materials with appropriate data sanitisation - Build monitoring and evaluation systems that operate within air-gapped infrastructure Essential Requirements - Active SC … Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores: Chroma, FAISS, Milvus Orchestration: LangChain, LangGraph for agents Hosting: vLLM, TGI, Ollama on bare metal/private cloud Infrastructure: Air-gapped Kubernetes, local container registries Desirable Skills - Experience with defence/government IT security protocols - Knowledge More ❯
Location & Working Hours Remote within 4 hours of UK time. Youll collaborate daily with two junior engineers in South Asia and coordinate with a London-based executive team. Participation in an out-of-hours on-call rota (approx. one week More ❯
Location & Working Hours Remote within 4 hours of UK time. Youll collaborate daily with two junior engineers in South Asia and coordinate with a London-based executive team. Participation in an out-of-hours on-call rota (approx. one week More ❯
