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Senior Machine Learning Engineer

ZipRecruiter

London

Hybrid

GBP 125,000 - 150,000

Full time

30+ days ago

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Job summary

An innovative startup is seeking a Senior Machine Learning Engineer to lead the development of cutting-edge AI solutions. In this role, you will harness the power of LLMs and deploy AI pipelines that drive real business impact. With a focus on problem-solving and creativity, you’ll work in a dynamic environment, collaborating with cross-functional teams to shape a greenfield AI product. If you are passionate about AI and ready to take ownership of your work, this opportunity is perfect for you!

Qualifications

  • Deep expertise in Python, particularly in multi-threading and optimisation.
  • Experience with MLOps for building and deploying AI solutions.

Responsibilities

  • Deploy and optimise LLMs and AI pipelines in a production environment.
  • Build scalable ML workflows and solve real-world AI challenges.

Skills

Python
MLOps
AI problem-solving
Entrepreneurial mindset

Tools

AWS
GCP
Kubernetes
LangFuse
Agenta

Job description

Job Description

Senior Machine Learning Engineer – AI/LLM Ops

Own, build and optimise LLM-powered AI solutions from the ground up.

This isn’t just another ML role —as the Senior AI Engineer you’ll shape the product. You’ll working with the latest AI tech in a fast-moving, high-impact startup team.

What You’ll Do:

  • Deploy & optimise LLMs, NLP, and AI pipelines in production.
  • Build scalable, efficient ML workflows (AWS/GCP, Kubernetes, LangFuse, Agenta).
  • Solve real-world AI challenges — not just churning out tickets.
  • System designers & builders — we want problem-solvers, not just theorists.
  • Work cross-functionally to turn AI into real business impact.

What We’re Looking For:

  • Deep Python expertise (multi-threading, decorators, optimisation).
  • MLOps experience — building & deploying AI at scale.
  • Entrepreneurial mindset — self-starters who challenge ideas.
  • Strong AI/LLM problem-solving skills, not just model fine-tuning.
  • Hybrid role (1-2 days in-office) — when it makes common sense.

If you want to own & shape a greenfield AI product, let’s talk.

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