MLOps Engineer (Infrastructure) – Robotics AI – up to £200k +equity – London Hybrid

Do you have experience setting up and optimizing training pipelines?

Do you have experience in end2end development of AI models (Computer Vision, LLMs, Reinforcement Learning)?

Are you excited by the thoughts of competing with Microsoft, Jeff Bezos and OpenAI?

The challenge

We’re a very young start up, founded and backed by a VC, with over 5 years runway, we’ve already grown our team to over 40 people and plan to grow to 70 by the end of the year

We’ve developing AI robots to do day-to-day human tasks and looking for an experienced Machine Learning Ops Engineer to develop our MLOPs platform, improve model performance and optimise models for deployment on edge devices.

About you

You’ll have experience designing data pipelines, GPU optimization and Inference scaling, setting up ML infrastructure and deploying AI models.

Here are some of things we’d expect you to have:

• Experience with DevOps tools (Chef, Jenkins, Maven, Cradle, Puppet, Ansible etc)
• Cloud scaling tools IaC (EC2, ELB, S3, Cloudformation etc)
• Automated pipelines and version tools (MLFlow, Kubeflow, Polyaxon etc)
• Familiar with inference servers such as multi-LoRa, LoRA Exchange, TitanML etc
• Experience with Kubernetes for containerisation
• Experience optimizing models for GPU and quantization techniques

Whats in it for me?

As a start-up, we offer a generous base salary, flexible hybrid working (3 days a week in our London office), 28 days holiday and equity within the business.

Interested?

If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following:

• Email me at
• Call me on