Lead ML Engineer — Generative AI & LLM Platforms

Vincere; Leeds; On-site; GBP 95,000 - 130,000; Full time

Job summary

Vincere in Leeds, United Kingdom, is hiring a Machine Learning Engineer to design and productionise Generative AI applications using GCP Vertex AI. You will architect scalable systems, mentor juniors and drive the AI roadmap, delivering the product increments on sprint timelines.

The role emphasizes LLM integration, RAG workflows, and robust evaluation and safety governance in production environments. Strong Python and ML framework expertise are essential.

Qualifications

• Master’s or PhD in Computer Science, AI or related field.
• Experience in ML engineering or applied AI with LLMs, RAG or generative models.
• Strong Python programming with ML frameworks (TensorFlow, PyTorch).
• Proven experience building autonomous agents using Google ADK or similar.
• Experience with vector databases and retrieval-augmented architectures.

Responsibilities

• Design, develop and deploy ML and deep learning models and pipelines.
• Translate business problems into ML-driven solutions with cross-functional teams.
• Architect scalable LLM Ops pipelines on GCP Vertex AI for fine-tuning, retrieval and low-latency inference.
• Implement evaluation frameworks for output quality, cost control and safety governance.
• Lead end-to-end development of LLM applications using RAG and agentic workflows.
• Mentor junior engineers and contribute to AI platform architecture.

Skills

Python

TensorFlow

PyTorch

GCP Vertex AI

Hugging Face

Agentic design patterns

RAG

Prompt engineering

Vector databases

Education

Master's or PhD in Computer Science or AI

Tools

Docker

Git

ADK (Agent Development Kit)

Job description

Vincere in Leeds, United Kingdom, is hiring a Machine Learning Engineer to design and productionise Generative AI applications using GCP Vertex AI. You will architect scalable systems, mentor juniors and drive the AI roadmap, delivering the product increments on sprint timelines.

The role emphasizes LLM integration, RAG workflows, and robust evaluation and safety governance in production environments. Strong Python and ML framework expertise are essential.