Senior ML Software Engineer; Hungary

About Us

Sophos is a global leader and innovator of advanced security solutions for defeating cyberattacks. The company acquired Secureworks in February 2025, bringing together two pioneers that have redefined the cybersecurity industry with their innovative, native AI-optimized services, technologies and products. Sophos is now the largest pure-play Managed Detection and Response (MDR) provider, supporting more than 28,000 organizations. In addition to MDR and other services, Sophos’ complete portfolio includes industry-leading endpoint, network, email, and cloud security that interoperate and adapt to defend through the Sophos Central platform.

Secureworks provides the innovative, market-leading Taegis XDR/MDR, identity threat detection and response (ITDR), next-gen SIEM capabilities, managed risk, and a comprehensive set of advisory services. Sophos sells all these solutions through reseller partners, Managed Service Providers (MSPs) and Managed Security Service Providers (MSSPs) worldwide, defending more than 600,000 organizations worldwide from phishing, ransomware, data theft, other every day and state-sponsored cybercrimes.

The solutions are powered by historical and real-time threat intelligence from Sophos X-Ops and the newly added Counter Threat Unit (CTU). Sophos is headquartered in Oxford, U.K. More information is available at

The Sophos Artificial Intelligence (Sophos AI or SAI) department is looking for ML and Software Engineers to join our Sophos AI Engineering team. As a member of our team, you will work on the development and maintenance of our internal ML operation services, training and CI/CD pipeline(s) in the AWS cloud. You will also work on delivering, integrating our models to wide variety of Sophos products to ensure the superior quality of AI used to provide protection to all our customers.

To succeed in this role, you will be passionate about developing high-quality and cost-efficient deliverables, continuous improvement, and cooperation between global teams and keen to use your excellent skills to contribute to the success of the Sophos Artificial Intelligence team.

• Software Development. – Innovate, design, develop and deliver features into the Sophos AI automated systems area, focusing on ML supporting systems taking it to an industry leading next generation position.
• ML Operations – Work on automation, quality assurance of ML operations including the model training pipeline. Improve monitoring of model accuracy, model comparison and engineering metrics with traceability, reproducibility of the retrained models kept in focus.
• Continuous Improvement – Identify key metrics, put measurement in place and work on to meet them. Do this using the Agile Software development framework of SCRUM.

• Minimum 4-year experience in Python and Python ecosystem.
• Minimum 2-year experience in (R)
  DBMS and SQL, ideally Snowflake.
• Experience with AWS cloud services including Fargate, Code Build, Batch and more.
• Experience in ML operations and supporting system(s) like AWS Sage Maker or WandB.
• Experience in Agile software development, preferably SCRUM.
• Proven track record of designing & developing reliable, maintainable, high-quality code.
• Fluency in English.
• Experience in portable C & C++ development would be great, but not a must.
• Proficient in using development tools (source control, static analysis, issue tracking, etc.).
• Have good problem solving and troubleshooting skills.
• Able to work in small groups but also independently if needed.
• Not afraid to share your opinion on how to get things better.

At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply.

• Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach.
  While we…