state sharing and caching. Knowledge of various DB engines (SQL, Redis, Kafka). Experience with Generative AI and LLM-based applications. Familiarity with AI agents and orchestration frameworks (LangChain, LangGraph). Experience with embeddings and fine-tuning GenAI models. Understanding of ModelOps/ML Ops/LLM Ops. Familiarity with SRE techniques. This role has been deemed Inside IR35 by More ❯
state sharing and caching. Knowledge of various DB engines (SQL, Redis, Kafka). Experience with Generative AI and LLM-based applications. Familiarity with AI agents and orchestration frameworks (LangChain, LangGraph). Experience with embeddings and fine-tuning GenAI models. Understanding of ModelOps/ML Ops/LLM Ops. Familiarity with SRE techniques. This role has been deemed Inside IR35 by More ❯
state sharing and caching. Knowledge of various DB engines (SQL, Redis, Kafka). Experience with Generative AI and LLM-based applications. Familiarity with AI agents and orchestration frameworks (LangChain, LangGraph). Experience with embeddings and fine-tuning GenAI models. Understanding of ModelOps/ML Ops/LLM Ops. Familiarity with SRE techniques. This role has been deemed Inside IR35 by More ❯
/ML platforms, particularly in generative AI or LLM-based systems. Exposure to ML/ModelOps and AI workflow automation tools. Practical experience with agent orchestration tools (e.g., LangChain, LangGraph). Understanding of microservice-based architecture, distributed state management, and advanced cloud deployment strategies (e.g., blue/green deployments). Hands-on experience with scalable cloud infrastructure in both public More ❯
/ML platforms, particularly in generative AI or LLM-based systems. Exposure to ML/ModelOps and AI workflow automation tools. Practical experience with agent orchestration tools (e.g., LangChain, LangGraph). Understanding of microservice-based architecture, distributed state management, and advanced cloud deployment strategies (e.g., blue/green deployments). Hands-on experience with scalable cloud infrastructure in both public More ❯
tools Have a broad of understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies. Have good communication skills Nice to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure 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 AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive More ❯
in use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Langgraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net AI RAG (retrieval augmented generation) Graph RAG Few shot detection Embedding models/LLMs - how they work, how More ❯
for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI/ML offerings Preferably hands-on experience with voice More ❯
architectural decisions, internal tooling, and team best practices Experience & Qualifications: 4+ years of backend or AI-focused engineering experience Hands-on experience working with LLMs and related frameworks (LangChain, LangGraph, etc.) Strong programming skills-Python preferred; experience with APIs and cloud infra is a plus Proven track record designing evaluation frameworks and tuning model performance Solid understanding of data privacy More ❯
NEW CONTRACT AI/ML ENGINEER VACANCY AVAILABLE - HYBRID LONDON Exciting Opportunity with a Cutting-Edge AI Company Contract AI Engineer (LLMs/LangGraph/RAG) 6-Month Initial Contract + extension £350-450 Outside IR35 (competitive) To apply please email WHO WE ARE We're working with an innovative organisation at the forefront of AI-powered solutions, focused on … building dynamic, intelligent tools for real-time use cases. THE ROLE We're seeking AI Engineers to design, build, and deploy conversational AI products using LangGraph, OpenAI functions, and Retrieval-Augmented Generation (RAG) techniques. You'll be part of a hands-on team delivering high-performance AI tools in a fast-paced environment. WHAT YOU WILL BE DOING Building conversational … AI flows with LangGraph and OpenAI function-calling Integrating live data (e.g., sports data, betting odds) into real-time chat systems Developing memory handling, tool usage, and RAG pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python More ❯
