Security Applied AI/ML Research Intern - Microsoft Threat Intelligence Center

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Start Date: July 2026

Contract Type: Internship (40hrs/week)
Duration: 12-weeks

Location: London, United Kingdom

Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centred on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

Microsoft is one of the largest enterprise service companies in the world. Microsoft Threat Intelligence Center (MSTIC) has unique optics into end-to-end cyber-attacks and how different stages manifest across our telemetry. By partnering across the company, we build proof-of-concept solutions that showcase new detection capabilities, through novel correlation and analysis methodologies. Our work contributes directly to the customer-facing security tools provided by Microsoft, achieving large scale global impact.

As part of MSTIC’s DS&AI team, you will have the opportunity to collaborate with a diverse, global team of security experts from across the CISO org as part of one of the largest security research organisations in the world, benefiting from Microsoft’s unique view of the threat landscape. Through mentoring from an experienced AI/ML researcher, you will be able to build your technical skills and gain valuable industry experience.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications

• Curiosity and passion for problem solving; ability to learn new skills quickly and apply them to real-world problems
• Strong quantitative skills (e.g., as demonstrated by your degree course in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, etc.)
• Familiarity with some machine learning and statistical techniques
• Some programming experience (ideally in Python, or in other languages with strong data science ecosystems such as R, C#, Scala, Java, etc.)
• Fluency in English

Preferred Qualifications:

• Experience using common data science tools or packages (e.g., NumPy, scikit-learn, PyTorch, TensorFlow, etc.)
• Practical experience in researching and/or applying GenAI, machine learning and/or statistical methods (e.g., as part of a university project or dissertation)

#EIP

We are looking for an innovative Security Applied AI/ML Research intern to join the MSTIC DS&AI team, working to apply machine learning & AI techniques to help our analysts and threat hunters detect and track threats in our telemetry sources, increasing their effectiveness. You will create algorithms that will be applicable to multiple services and data sources and apply them at cloud scale. Your work will combine data science & AI, security research and software engineering to help protect Microsoft and its customers.

• Work with our data scientists and threat hunters and analysts to research and deliver end-to-end solutions.
• Combine data science and security research to develop innovative AI and machine learning approaches for tracking and hunting cyber threat actors.
• Create algorithms that can be consumed by multiple services and operate over data at cloud scale.