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Machine Learning Engineer

Understanding Recruitment

Greater London

Hybrid

GBP 60,000 - 100,000

Full time

7 days ago

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Job summary

Join a dynamic cybersecurity startup as a Machine Learning Engineer, where you'll help build the next-gen security assistant. This role offers the chance to work with a close-knit team, focusing on automating workflows and improving security processes. You'll lead projects from design to deployment, collaborating with engineers to deliver impactful features. If you're passionate about AI and cybersecurity, this is an exciting opportunity to make a real difference in the industry!

Qualifications

Experience in designing and building data models for automation.
Proficient in leading projects throughout the ML lifecycle.

Responsibilities

Design and build data models to automate security workflows.
Lead projects across the ML lifecycle from design to deployment.

Skills

Machine Learning

Data Modeling

Collaboration

Unstructured Data Handling

Education

Bachelor's in Computer Science

Master's in Data Science

Tools

Python

TensorFlow

Git

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Understanding Recruitment provided pay range

This range is provided by Understanding Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Building world-class AI & SW teams across the US & UK | EDIB Advocate | Supporting tech teams to solve real-world problems!

Machine Learning Engineer | Cybersecurity Startup (Open Source, AI)

We’re hiring a Machine Learning Engineer to join an early-stage cybersecurity startup that's building the next-gen security assistant - open-source at its core, focused on automating repetitive workflows and making life easier for security teams!

You'll be part of a tight-knit, ambitious team with a strong engineering culture and a track record of building widely used security tools.

Location: London (Hybrid, 4 days in office)

What You’ll Do

Design and build data models to automate security workflows
Work with unstructured data from various sources
Lead projects across the ML lifecycle - from design to deployment
Collaborate closely with engineers and product to ship real features

Intro call → Take-home test → Onsite with the team

Interested? Apply now!

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering, Information Technology, and Science
Industries
Software Development, Information Services, and Data Infrastructure and Analytics

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