partners to match value proposition to business needs. Thrived as a another fast-paced SaaS startup or scale-up during a high-growth phase. Preferred to have: expertise with langchain and similar tools for multimodal AI projects. What's in it for you: £80-100k base salary with £25k additional commission Top 15% quartile equity options plan through an More ❯
Strong coding skills in Python and experience with Typescript Experience setting up and developing RAG flows Familiarity with vector databases Advanced prompt engineering capabilities Experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.) Track record of shipping reliable AI systems to production Valuable Additional Skills: Experience with goal-oriented and autonomous agent architectures Financial domain knowledge or fintech experience Experience More ❯
London, England, United Kingdom Hybrid / WFH Options
V7
partners to match value proposition to business needs. Thrived as a another fast-paced SaaS startup or scale-up during a high-growth phase. Preferred to have: expertise with langchain and similar tools for multimodal AI projects. What’s in it for you: £80-100k base salary with £25k additional commission Top 15% quartile equity options plan through an More ❯
City of London, England, United Kingdom Hybrid / WFH Options
Anson McCade
augmented generation (RAG) systems using tools like Pinecone, FAISS, Chroma, or PostgreSQL. Develop infrastructure to support short- and long-term memory in autonomous agents. Work with AI orchestration frameworks (LangChain, LangGraph, CrewAI) to ensure reliable data integration and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages … SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI APIs What We’re Looking For: Strong experience building and maintaining data systems on GCP Direct experience working on Google projects Experience with Agentic AI Proficiency More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Anson McCade
augmented generation (RAG) systems using tools like Pinecone, FAISS, Chroma, or PostgreSQL. Develop infrastructure to support short- and long-term memory in autonomous agents. Work with AI orchestration frameworks (LangChain, LangGraph, CrewAI) to ensure reliable data integration and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages … SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI APIs What We’re Looking For: Strong experience building and maintaining data systems on GCP Direct experience working on Google projects Experience with Agentic AI Proficiency More ❯
London, England, United Kingdom Hybrid / WFH Options
Ecm Selection
a keen experimenter with LLMs, utilising the skills and knowledge you have in software engineering for LLM based personal projects. Key topics of interest would be agentic systems, RAG, Langchain or automated workflows. You’ll have experience using modern Python for scalable and extendible code development (and probably experience with other modern mainstream coding technologies such as Go or Rust … an option (2-3 days in the office per fortnight). Remunerations do include a range of benefits. Keywords: AI/ML, Python, Agentic Systems, Automation Platforms, LLM, RAG, Langchain, Central London, Hybrid Working Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may More ❯
a keen experimenter with LLMs, utilising the skills and knowledge you have in software engineering for LLM based personal projects. Key topics of interest would be agentic systems, RAG, Langchain or automated workflows. - You’ll have experience using modern Python for scalable and extendible code development (and probably experience with other modern mainstream coding technologies such as Go or Rust … an option (2-3 days in the office per fortnight). Remunerations do include a range of benefits. Keywords: AI/ML, Python, Agentic Systems, Automation Platforms, LLM, RAG, Langchain, Central London, Hybrid Working Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have More ❯
ll work closely with the CTO to architect and implement the intelligence layer of the platform — with real ownership over: Designing and deploying LLM-driven agent systems using LangGraph, LangChain, or similar tools to coordinate tool use, memory, and fallback logic Building orchestration logic for autonomous workflows — handling retries, dependencies, logging, and execution across simulation and design environments Creating custom … ideally in fast-moving, early-stage environments Strong Python skills, with a track record of building or deploying LLM-based systems in production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines (e.g. Weaviate, Pinecone), and eval tooling Comfort building and testing AI More ❯
Collaborate with product, data, and engineering teams Mentor peers and bring cutting-edge ML to life in production What You Bring: Strong Python + ML/LLM stack (Transformers, LangChain, RAG, vector DBs) Experience with NLP, embeddings, and cloud tools (AWS preferred) Ability to solve complex problems and ship real impact Passion for AI, autonomy, and collaborative innovation Bonus: 3D More ❯
City of London, London, United Kingdom Hybrid / WFH Options
evoke
software through AI. You’ll work closely with a former FAANG engineering lead who spent over a decade building LLM-based dev tools, using a stack that includes Python, LangChain, RAG, Rust, and Kubernetes. They’re looking for engineers with: A STEM degree (BSc or higher) from a top ranked university 3+ years of Python experience and exposure to Go More ❯
software through AI. You’ll work closely with a former FAANG engineering lead who spent over a decade building LLM-based dev tools, using a stack that includes Python, LangChain, RAG, Rust, and Kubernetes. They’re looking for engineers with: A STEM degree (BSc or higher) from a top ranked university 3+ years of Python experience and exposure to Go More ❯
London, England, United Kingdom Hybrid / WFH Options
Stealth iT Consulting
avenues as you shape the future of AI-driven solutions. What We’re Looking For: Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Stealth IT Consulting Limited
development avenues as you shape the future of AI-driven solutions. What Were Looking For: Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client More ❯
experience developing LLM applications using some of the more recent LLMs such as GPT, Llama, Claude, Gemini, Qwen and Mistral models, developed RAG pipelines and architecture, orchestrated workflows using LangChain/LangGraph/LlamaIndex etc. This role is ideal for someone with.... 2 years of experience developing and deploying BERT based NLP models Experience deploying AI models on cloud (Azure More ❯
experience developing LLM applications using some of the more recent LLMs such as GPT, Llama, Claude, Gemini, Qwen and Mistral models, developed RAG pipelines and architecture, orchestrated workflows using LangChain/LangGraph/LlamaIndex etc. This role is ideal for someone with.... 2 years of experience developing and deploying BERT based NLP models Experience deploying AI models on cloud (Azure More ❯
innovative solutions. Who are you? You’re experienced in transformers, Python, and deep learning frameworks like PyTorch or TensorFlow. You’ve worked with LLM tools such as HuggingFace or LangChain, and have a proven track record of handling large datasets and vector databases. Familiarity with distributed computing and model optimisation is a big plus. But most importantly, you’re passionate More ❯
5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience building real-time AI More ❯
5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience building real-time AI More ❯
5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience building real-time AI More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Block MB
you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development end to More ❯
you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development end to More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Block MB
you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development end to More ❯
London, England, United Kingdom Hybrid / WFH Options
Paydock
software systems or workflows. Strong experience in prompt engineering and chaining logic for AI-based tasks. Background in backend engineering (Python, NodeJS, or similar). Familiarity with tools like LangChain, OpenAI API, Pinecone, or similar . A problem-solver mindset—focused on delivering tangible outcomes using AI. Comfortable working in a fast-paced, agile environment. Excellent communication and collaboration skills. More ❯
