MLOps Engineer

Quantexa, a unicorn status company founded in 2016, is seeking a skilled MLOps Engineer to join their innovative team. With a presence across twelve locations and over 700 employees, Quantexa has established itself as a leader in data-driven intelligence solutions. The role involves working with Analytics teams that build and deploy AI models, including specialized Graph-based and NLP models.

The MLOps Engineer will be crucial in developing and maintaining infrastructure and automation pipelines for machine learning models. This position offers an opportunity to work with cutting-edge technologies and collaborate with data scientists, engineers, and other MLOps professionals. The company prides itself on its diverse workforce, with 41% of colleagues from ethnic or religious minority backgrounds and over 20 languages spoken across 47 nationalities.

The ideal candidate will have strong experience in model deployment, pipeline automation, and monitoring systems. They should be proficient in Python, familiar with ML frameworks, and have hands-on experience with containerization and cloud technologies. The role offers a balance of autonomy and support, allowing for career growth while contributing to meaningful projects that help businesses make better decisions through data-driven intelligence.

Working in a hybrid environment, you'll be part of a company that values innovation, personal development, and inclusive culture. Benefits include competitive compensation, company bonuses, and various wellness perks. This is an excellent opportunity for someone passionate about MLOps who wants to contribute to a rapidly growing organization that's pushing the boundaries of what's possible in data intelligence.