Senior AI/ML Engineer: Generative AI & MLOps Expert

Jobtailor

Greater London

On-site

GBP 90,000 - 130,000

Full time

7 days ago
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Job summary

Jobtailor is seeking an AI/ML leader to design and deploy end-to-end AI solutions across modern cloud platforms. You will implement robust MLOps practices, govern AI lifecycles, and drive responsible AI principles within frequently regulated environments.

You will work with LangChain, LangGraph, LlamaIndex and other cutting-edge frameworks to orchestrate LLMs, embeddings and RAG solutions. The role involves collaboration with stakeholders and mentoring junior colleagues in an Agile setting.

Qualifications

  • Proven experience designing, building and deploying AI/ML solutions from concept through to production.
  • Strong experience implementing MLOps strategies, frameworks and operational best practices.
  • Deep understanding of Generative AI and Agentic AI concepts, incl. RAG architectures, embeddings and vector search.

Responsibilities

  • Collaborate with product leaders, business analysts and subject matter experts to identify and shape high-value AI opportunities
  • Design and deliver end-to-end AI and Machine Learning solutions, from data preparation and model development through to deployment and monitoring
  • Build and maintain robust MLOps frameworks, governance processes and engineering best practices
  • Develop Generative AI and Agentic AI solutions, including RAG, semantic search, AI agents, multi-agent workflows and LLM orchestration frameworks

Skills

AI/ML design
MLOps
Generative AI
Python
Agile

Education

Bachelor's in CS
Master's in Data Science

Tools

LangChain
LangGraph
LlamaIndex
Google ADK
Azure Foundry
Azure DevOps
Docker
Kubernetes
Snowflake
Vertex AI

Job description

Jobtailor is seeking an AI/ML leader to design and deploy end-to-end AI solutions across modern cloud platforms. You will implement robust MLOps practices, govern AI lifecycles, and drive responsible AI principles within frequently regulated environments.

You will work with LangChain, LangGraph, LlamaIndex and other cutting-edge frameworks to orchestrate LLMs, embeddings and RAG solutions. The role involves collaboration with stakeholders and mentoring junior colleagues in an Agile setting.

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