AI / ML Engineer

Ventula Consulting; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

Talantir, based in London, seeks an AI/ML Engineer responsible for developing scalable ML pipelines to handle very high-volume events. You will contribute to production ML/AI systems with LLM components and collaborate with cross-functional teams to balance trade-offs.

The role focuses on building robust ML architectures, optimizing model performance, and delivering shipped products in a fast-paced startup environment. London office presence is required 3–4 days per week.

Qualifications

• Bachelor’s degree in CS, ML or related field.
• Proven experience shipping production ML/AI systems.
• Strong Python and FastAPI skills.
• Experience with LLMs, fine-tuning, and RAG.

Responsibilities

• Build and scale ML pipelines for high-volume events.
• Ship production ML/AI systems with LLM components.
• Collaborate with cross-functional teams to discuss trade-offs.

Skills

Python

FastAPI

MLOps

Kubeflow

LLMs

Fine-tuning

RAG

Prompt engineering

Production systems

Problem solving

Team collaboration

Education

BSc in CS

ML-related degree

Tools

Kubeflow

Job description

AI / ML Engineer - AI Startup - London - £60k-£80k

A newly established Voice AI startup with multi-million funding, is looking to hire an AI / ML Engineer to focus on their ML pipelines which process very high-volume events at scale.

Our client is looking for an individual with significant experience as either an AI Engineer or Machine Learning Engineer with clear evidence of shipping LLM powered ML products

Key Requirements

Bachelor’s degree in Computer Science, Machine Learning, or a related fieldExcellent experience as a, ML, or AI Engineer, with evidence of shipping production systemsStrong Python skills and experience with FastAPIExperience working modern MLOps tools, ideally KubeflowStrong experience working closely with LLMs (including fine-tuning, RAG, prompt engineering)Strong problem-solving skills and ability to communicate technical trade-offs clearlyCollaborative mindset with experience working across technical and non-technical teams

This position is a permanent role, based in London, with 3-4 days a week in the company's office

The role offers a salary between £60,000 - £80,000