AI Engineer
AI Engineer role at KLDiscovery focused on Python software engineering with a strong emphasis on developing AI and Machine Learning solutions for eDiscovery and compliance challenges in a remote, fast‑paced environment.
KLDiscovery offers a fantastic opportunity for you to use your talents to make a meaningful impact in a fast-paced, growing technology and services organization! KLDiscovery is a global leader in eDiscovery, compliance, and data management solutions, empowering law firms, corporations, and government agencies to tackle their most complex legal and regulatory challenges.
We are actively seeking a candidate with strong expertise in Python software engineering, who demonstrates either prior experience or a keen interest in transitioning to the dynamic field of AI/Machine Learning.
Work Status : Remote, work from home opportunity.
Is This Role For You?
The primary responsibilities of this position revolve around constructing AI development and production infrastructure, as well as implementing them effectively. Your specific tasks will include aiding in the construction of analytical tools, curating datasets, conducting experiments, precisely estimating impact, productizing solutions, and monitoring the performance of machine learning models.
A Day in The Life
Develop high-quality code for seamless integration of Data Science tools and processes into the company's products and services.
Offer expert analysis and valuable insights to the product development team, contributing to the enhancement of our product offering.
Foster close collaboration with engineering teams to optimize the implementation and monitoring of solutions.
Conduct research, provide recommendations, and implement best practices in data science and data engineering.
Driving Career Growth, Benefit Excellence: The KLD Advantage
At KLD we invest in employees and their families by placing their wellbeing first. We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is £50,000 to £65,000.
Posted June 20, 2026