About this role
Based in the United Kingdom, this Principal Machine Learning Engineer role at bjakcareer centers on leading the execution layer for AI-driven applications and suits an experienced practitioner specializing in production-ready machine learning systems. The position requires managing the entire machine learning lifecycle to transform research concepts into reliable infrastructure.
Role Overview
This hands-on leadership position requires an individual to oversee intelligence systems, manage long-running workflows, and build proactive applications requiring minimal user prompting. The professional bridges the gap between research, systems, and product development to ensure high reliability and persistent context.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Bjakcareer builds proactive applications designed for global users who do not rely on complex prompting, aiming to bring intelligence to everyday tasks, conversations, organization, and workflows. The organization operates as a small, high-talent-density team where engineers maintain broad ownership, make rapid decisions, and prioritize engineering fundamentals alongside execution speed.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The role is located in the United Kingdom.
What level of experience is required for this role?
This is a principal position requiring a candidate with a history of building and shipping production machine learning systems, large-model familiarity, and software engineering fundamentals.
What does the tech stack include?
The tech stack includes Python, PyTorch or JAX, and GPU-based training and inference systems.
What does the interview process involve?
The interview process consists of three to four interviews conducted via virtual meetings and/or onsite, evaluated by technical team members.
What is the primary mission of the company?
The company builds proactive, AI-native applications for everyday tasks, conversations, and workflows with minimal to no prompting.
