AI/ML Engineer

Summary: The AI/ML Engineer role requires a seasoned professional with over 7 years of experience in software engineering and applied machine learning, specifically in building real-world AI/ML systems. The candidate must possess strong Python skills and backend development expertise, along with hands-on experience in developing GenAI applications using LangChain and LangGraph. Proficiency in ML/NLP, generative models, and various frameworks is essential for delivering scalable AI solutions in a collaborative environment.

Key Responsibilities:

• Build real-world AI/ML systems with a focus on GenAI applications using LangChain and LangGraph.
• Design agents, manage state/memory, and orchestrate graph-based solutions.
• Implement ML/NLP and generative models, including embeddings and LLM integration/fine-tuning.
• Utilize frameworks/tools such as FastAPI, PyTorch/TensorFlow, and MLflow for development.
• Deliver scalable, production-ready AI systems and collaborate across teams.
• Work with AI agent frameworks and tool-use ecosystems, applying advanced planning/reasoning strategies.
• Manage cloud platforms (AWS), MLOps, and data pipelines; React.js familiarity is a plus.
• Ensure secure and compliant deployments in enterprise environments.

Key Skills:

• Programming: Python; backend APIs (FastAPI)
• AI/ML: ML/NLP, generative AI, embeddings, model evaluation
• Frameworks: LangChain, LangGraph; plus LlamaIndex, PyTorch, TensorFlow, MLflow
• Architectures: RAG, Transformers, OCR
• Agents: Design and orchestration, memory/state management, tool integration; MCP and agent-to-agent protocols
• Observability: LangSmith/LangFuse for agent monitoring

Salary (Rate): undetermined

City: London Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT