Senior Security Research Engineer - Data Science

Elastic NV; United Kingdom; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading search AI company in the UK seeks a Senior Security Research Engineer with Data Science experience. The role involves developing AI-driven solutions for security and collaborating with a diverse team of skilled professionals. Candidates should have a background in security solutions, proficiency in Python, and a commitment to innovation and learning. This position offers competitive pay and flexible work arrangements.

Benefits

Competitive pay

Health coverage

Flexible locations

Generous vacation days

Financial matching for donations

Volunteer hours

Parental leave

Qualifications

• Experience building Security solutions like Endpoint, Network, UEBA.
• Proficiency in Python programming skills.
• Ability to communicate clearly with diverse stakeholders.

Responsibilities

• Develop ML solutions for Endpoint Security.
• Perform data analysis for new solutions.
• Collaborate to build and maintain ML models.

Skills

Security solutions experience

Threat hunting

Malware analysis

Python programming

Data analysis

Code reviews

Tools

AWS

GCP

Kubernetes

Buildkite

Job description

Senior Security Research Engineer - Data Science

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data—securing and protecting private information more effectively—Elastic’s complete, cloud‑based solutions for search, security, and observability help organizations deliver on the promise of AI.

What Is The Role

Elastic Security focuses on AI‑driven Security Solutions across our SIEM and Endpoint products. The Security ML team researches, designs, and builds AI and ML solutions and drives innovation in this domain. We are looking for a Senior Security Engineer with Data Science experience to join our ML team and continue to innovate and build new models that will help secure our users against the latest emerging threats. You will collaborate with the broader Elastic Security team, which consists of a diverse group of skilled Researchers, ML Engineers, Data Scientists, and Developers who possess extensive domain expertise in their respective areas. Our geographically dispersed team values positivity and inclusion in the workplace, collaborative learning and candid communication.

If you are passionate about security research as well as data science and would enjoy the challenge of mixing your security expertise with analytics driven from data science, we would love to have you join our growing team!

What You Will Be Doing

• Contribute to developing ML solutions for Endpoint Security.
• Perform data analysis on our sources to identify new solutions and improvements.
• Collaborate within the Security ML team and with members of other teams to build, ship, and maintain ML models.
• Promote long‑term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadence.
• Determine how to improve models over time by leveraging implicit and explicit feedback.

What You Bring

• Experience building Security solutions (Endpoint, Network, UEBA, etc.).
• Experience with threat hunting and malware analysis.
• Proficiency in Python programming skills.
• Experience with writing and running tests (unit tests, integration tests, regression tests).
• Experience with performing data analysis as required to support data quality decisions.
• Ability to both give and receive helpful code reviews.
• Be comfortable working in a fully‑remote environment.
• Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, time zones, and programming language preferences.
• Willingness to learn new things and ask for help.

Bonus Points

• Experience designing, training, and evaluating models using popular ML frameworks.
• Experience with AWS or GCP.
• Experience with Kubernetes.
• Experience with Buildkite or other CI/CD tooling.

Additional Information – We Take Care Of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or you have children; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact – We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with minimum of 16 weeks of parental leave.

Elastic is an equal‑opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [e-mail]. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws. For more information, view the following posters: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster; and Know Your Rights Poster.

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