Machine Learning Engineer, Cloudforce One Threat Intelligence

The Association of Technology, Management and Applied Engineering; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A technology-focused organization in London is seeking a Machine Learning Engineer to apply advanced machine learning techniques to enhance cyber threat intelligence. In this role, you will design, develop, and deploy scalable models using large datasets. Key responsibilities include collaboration with data scientists, model implementation in production, and continuous improvement of model performance. Ideal candidates should have a strong understanding of machine learning concepts and experience in production system deployment. This position offers the opportunity to impact cybersecurity on a global scale.

Qualifications

• Thorough understanding of machine learning concepts and model performance.
• Desire to see projects through from creation to deployment.
• Demonstrated ability to deliver and incorporate feedback.
• Proven ability to achieve performance while exhibiting appropriate behaviors.

Responsibilities

• Collaborate to integrate and deploy scalable Machine Learning models.
• Understand new email attack techniques to model detection.
• Implement and monitor Machine Learning models in production.
• Continuously improve existing Machine Learning models.
• Identify and resolve production system issues.

Skills

Understanding of machine learning concepts

Desire to see projects through

Ability to deliver feedback

Platform performance optimization

Tools

Deep Learning

Natural Language Processing applications

Job description

Position Title: Machine Learning Engineer, Cloudforce One Threat Intelligence

Available Locations: London, UK

About the Team

Cloudforce One is Cloudflare’s 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 world’s 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.

About the Role

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.

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

Examples of desirable skills, knowledge and experience

• Thorough understanding of machine learning concepts such as which types of models perform best on what types of data
• Desire to see a project through all the way from model creation, training, production‑alized 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)

Bonus Points

These are things which the role is likely to require; we’re happy to help you learn on the job, but prior experience is beneficial.

• Experience with deploying Deep Learning models in production systems
• Experience with development and deployment of Natural Language Processing (NLP) applications
• Wide machine learning knowledge from linear regression through LLMs
• A basic understanding of the cyber threat landscape and technical Indicators of Compromise (IOCs)

What Makes Cloudflare Special?

We’re not just a highly ambitious, large‑scale technology company. We’re a highly ambitious, large‑scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work; technology already used by Cloudflare’s enterprise customers—at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy‑centric public DNS resolver. This is available publicly for everyone to use—it is the first consumer‑focused service Cloudflare has ever released. We don’t store client IP addresses ever, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

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