Machine Learning Engineer, Cloudforce One Threat Intelligence
Listed on 2025-12-27
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IT/Tech
Machine Learning/ ML Engineer, Cybersecurity
Position Title:
Machine Learning Engineer, Cloudforce One Threat Intelligence
Available Locations:
London, UK
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the worlds largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.
Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazines Top Company Cultures list and ranked among the Worlds Most Innovative Companies by Fast Company.
We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time e join us!
Aboutthe Team
Cloudforce One is Cloud flares threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever-growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the worlds largest global networks can provide.
The team is able to analyze these unique data points, at massive scale and efficiency, synthesizing findings into actionable threat intelligence to better protect our customers.
The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers
We're looking for a Machine Learning Engineer to join our team and lead the charge in applying cutting‑edge machine learning to cyber threat intelligence. In this highly impactful, hands‑on role, you'll design, develop, and deploy scalable machine learning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our Cloudforce One offering, providing critical, real‑time insights and unparalleled protection to our customers.
If you're driven to solve complex cybersecurity challenges at an unprecedented scale, we want you on our team.
The candidate should have strong foundational machine learning knowledge. Day to day responsibilities include:
- Collaborate with other Data Scientists and Machine Learning Engineers to integrate and deploy scalable Machine Learning models
- Collaborate with analysts to understand new email attack techniques then design and deploy models to detect these techniques
- Implement Machine Learning models in production systems and monitor their performance in real‑time.
- Continuously improve the performance and scalability of existing Machine Learning models.
- Identify, diagnose and resolve issues in production environments
- Thorough understanding of machine learning concepts such as what types of models perform best again what types of data
- Desire to see a project through all the way from model creation, training, productionalized deployment, through automated retraining from feedback
Demonstrated ability to deliver and listen to feedback. - Proven ability to deliver performance (what) with the right behaviors (how)
These are things which the role is likely to…
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