Senior AI Engineer (Python LLM MLOps) London / WFH to £90k

Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding?

You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations.

What's in it for you:

• Salary to £90k
• Pension, Life Assurance, Income Protection
• Private medical care for you and your family, including mental health
• Travel Insurance
• Charitable giving
• Gym membership for you and your family
• Flexible holiday scheme

Your role:

As a Senior AI Engineer you'll design and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video), design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG, optimise and deploy large language and multi-modal models with a focus on performance and latency and build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments.

Using a consultative approach you'll guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption.

About you:

• You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines
• You have a strong Python software engineering background including and API development
• You have hands-on experience deploying LLMs and multi-modal models at scale in production
• You have a strong understanding of scalable MLOps, observability and cloud-native AI deployment
• You're collaborative and pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environments
• Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques

Apply now to find out more about this Senior AI Engineer (Python LLM MLOps RAG MCP) opportunity.