Machine Learning Engineer - Mid-Level

Oliver Bernard; London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading company in the AI-driven SaaS space is seeking a Mid-level Machine Learning Engineer for a hybrid role based in London. You'll work on their core ML platform, collaborating with a talented team and enjoying significant autonomy. The ideal candidate will have strong skills in Python and various ML frameworks, contributing to projects that support major publishing clients.

Qualifications

• Mid-level Machine Learning Engineer role.
• Experience with ML frameworks and Python required.

Responsibilities

• Work on the core of the ML platform.
• Join a high-performing cross-functional team.

Skills

ML frameworks

Python

MLOps

Tools

TensorFlow

scikit-learn

PyTorch

Kubernetes

AWS

Job description

Job Description

Machine Learning Engineer

Hybrid Working - 3 days p/w in office (Cannon Street, London)

Pays £50k-£70k

ML Engineer - Python, scikit-learn, PyTorch, MLOps

Oliver Bernard has partnered with an AI-driven SaaS platform that is seeking a Mid-level Machine Learning Engineer to work on the core of their platform.

You'll be joining a high-performing, cross-functional team working end-to-end across their ML platform and will be afforded a considerable amount of autonomy. This platform supports publishing giants such as The Times and The Guardian.

Key Skills and Experience:

• ML frameworks
• Python
• TensorFlow, scikit-learn, PyTorch
• MLOps
• Kubernetes
• AWS

This role is hybrid working from their offices in Cannon Street, London (3 days p/w). VISA sponsorship is not available for this role. The budget is £50k-£70k + benefits.

4-stage interview process: 15 mins intro call, tech test, 1 hr team interview, 30 mins CEO discussion.