Senior AI Engineer - London - AI Start-up

Oliver Bernard

Greater London

On-site

GBP 90,000 - 130,000

Full time

7 days ago
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Job summary

Oliver Bernard has partnered with an AI-native start-up building technology for institutional investors and trading teams. They seek a Senior AI Engineer to move AI systems from experimentation into production, across LLM/NLP pipelines, Python services and data workflows.

London-based role with three days in the office, offering ownership and scope to influence the technical direction as you work with engineers, researchers and market specialists to deploy reliable AI/ML solutions.

Qualifications

  • Strong Python skills and solid software engineering fundamentals.
  • Hands-on experience building and deploying AI/ML systems.
  • Experience with LLMs/NLP, multi-agent workflows, fine-tuning, Airflow or AWS is a plus.

Responsibilities

  • LLM / NLP pipelines and model evaluation.
  • Python services and data pipelines.
  • AWS, containers and CI/CD.
  • Identifying ways to improve accuracy, reliability and performance.
  • Working closely with engineers, researchers and market specialists.

Skills

Python
Software engineering
AI/ML systems
LLMs/NLP
CI/CD
AWS

Tools

Airflow
Docker
Kubernetes

Job description

Oliver Bernard have partnered with an exciting AI-native start-up that’s building technology used by institutional investors and trading teams.

They’re now looking for a Senior AI Engineer to join the team and help take their AI systems from experimentation into production.

You’ll be working across:

  • LLM / NLP pipelines and model evaluation
  • Python services and data pipelines
  • AWS, containers and CI/CD
  • Identifying ways to improve accuracy, reliability and performance
  • Working closely with engineers, researchers and market specialists

They’re looking for someone with strong Python and software engineering fundamentals, alongside hands-on experience building and deploying AI/ML systems.

Experience with LLMs/NLP, multi-agent workflows, fine-tuning, Airflow or AWS would be useful, but the main thing is having a track record of actually building and shipping things.

London — 3 days in the office

Lots of ownership and scope to influence the technical direction

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