AI/ML Engineer (Only UK profiles)
Posted 1 day ago by 7 KINGS CODE
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The AI/ML Engineer role requires over 7 years of experience in software engineering and applied machine learning, focusing on building real-world AI/ML systems. Candidates should have strong proficiency in Python and backend development, along with hands-on experience in developing GenAI applications using LangChain and LangGraph. The position emphasizes collaboration across teams and delivering scalable production AI systems, with a solid understanding of ML/NLP and generative models.
Key Responsibilities:
- Build real-world AI/ML systems with a focus on GenAI applications using LangChain and LangGraph.
- Design agents and manage state/memory for AI applications.
- Integrate and fine-tune generative models and embeddings.
- Deliver scalable, production AI systems while collaborating across teams.
- Utilize frameworks and tools such as FastAPI, PyTorch, TensorFlow, and MLflow.
- Implement AI agent frameworks and ensure observability of agents.
- Work with cloud platforms and MLOps for secure deployments.
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
Required Qualifications
- 7+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertise.
- Hands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.
- Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)
- Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow; solid understanding of software engineering fundamentals and secure development.
- Experience with AI agent frameworks and MCP; familiarity with agent observability (LangSmith/LangFuse) and agentic RAG patterns,
- Track record of delivering scalable, production AI systems and collaborating across teams.
- Experience with agent frameworks (AutoGen, CrewAI), tool-use ecosystems, and advanced planning/reasoning strategies
- Knowledge of cloud platforms (AWS), MLOps, and data pipelines; React.js familiarity is a plus.
- Exposure to enterprise environments and secure, compliant deployments
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