Senior Data Scientist + AI Engineer

Oho Group

Greater London

Hybrid

GBP 70,000 - 120,000

Full time

43 hours ago
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Benefits offered by this job

Full ownership over agentic workflows
Hybrid working environment
Profitable start-up with large market

Job summary

Oho Group, London-based, is seeking a Data Scientist or AI Engineer to take on full ownership over the agent development within a profitable start-up, offering a hybrid working environment.

You will work on prompt and context engineering, multi-agent orchestration, chain prompting, and build robust MLOps and RAG pipelines to power agentic systems.

This role is ideal for someone looking to shape cutting-edge AI in a fast-growing business.

Qualifications

  • 5+ years of experience in Data Science or AI Engineering.
  • Experience with prompt and context engineering, multi agent orchestration, chain prompting.
  • Strong MLOps and RAG pipeline engineering experience.
  • A strong will to take ownership over agentic systems in a profitable start-up environment.

Responsibilities

  • Take on full ownership of agentic systems within a small but profitable start-up team.
  • Work closely with RAG pipelines and multi-agent orchestration.
  • Take on the responsibilities of an MLOps position.

Skills

Data Science
AI Engineering
Prompt engineering
Context engineering
Multi-agent orchestration
Chain prompting
MLOps
RAG pipelines
Ownership mindset

Job description

Data Scientist + AI Engineer | London Based | Hybrid

Data Scientist or AI Engineer needed for a profitable London based start-up with a hybrid working environment. This is an opportunity for a talented Data Scientist or AI Engineer to take on full ownership over the agent development of a small yet profitable AI start-up.

If you are a Data Scientist, this is the perfect chance to continue to develop into the agentic AI space.

You have:
  • 5+ years of experience in Data Science or AI Engineering
  • Experience with prompt and context engineering, multi agent orchestration, chain prompting
  • Strong MLOps and RAG pipeline engineering experience
  • A strong will to take ownership over agentic systems in a profitable start-up environment
In this role, you will:
  • Take on full ownerrship of agentic systems within a small but profitable start-up team
  • Work closely with RAG pipelines and multi-agent orchestration
  • take on the responsibilities of an MLOps position
Why Join:
  • Full ownership over agentic workflows
  • Hybrid working environment
  • Chance to join a streamlined and profitable business with a large market share
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