Senior Machine Learning Engineer
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Jun 8, 2026. Justera Group scores A on the Alion truth index.
About Justera Group
Justera Group AB is a leading Swedish IT consulting firm with great experience specializing in building high-performing technology teams and delivering end-to-end IT solutions. Led by dynamic female executives, Justera Group focuses on helping businesses harness the power of digital technologies to continuously evolve in today’s rapidly changing economy. The company has deep expertise in IT consultancy, software development, and recruitment services, providing clients with purpose-driven, well-trained consultants who consistently deliver efficient and effective results. Justera Group manages the entire talent lifecycle, from hiring to ongoing management, ensuring the right fit for each project on time and within budget. With their strong commitment to quality, collaboration, and client success, Justera Group is a trusted partner for technology innovation across Sweden.
About the Role:
We are seeking a Senior Machine Learning Engineer to join our engineering team in Stockholm. In this role, you will be responsible for designing, scaling, and maintaining production-grade AI/ML solutions. You will play a pivotal role across the entire machine learning lifecycle-from optimizing data pipelines and training models to architecting robust MLOps workflows in the cloud.
The ideal candidate brings a blend of rigorous software engineering discipline and deep machine learning expertise, capable of solving complex algorithmic challenges while ensuring code is maintainable, secure, and highly scalable.
Key Responsibilities:
Lifecycle Contribution: Actively contribute to all phases of the AI/ML development lifecycle, translating business requirements into scalable technical solutions.
Pipeline Optimization: Analyze, troubleshoot, and optimize existing AI/ML applications to improve throughput, latency, and system performance.
MLOps & Infrastructure: Design and implement reliable model tracking, testing, and deployment pipelines to ensure stable, reproducible production environments.
Architecture & Standards: Apply modern software design patterns, coding standards, and testing methodologies to maximize code maintainability and data integrity.
Cross-Functional Collaboration: Translate complex technical details into clear user stories and documentation, maintaining strong transparency with both technical team members and business stakeholders.
Requirements:
Education & Experience: Master’s or Bachelor’s degree in Computer Science, Machine Learning, or a highly related technical field, backed by extensive commercial engineering experience.
Programming Mastery: Deep, production-grade proficiency in Python, alongside a solid understanding of software development principles, core algorithms, and data structures.
Cloud Infrastructure: Solid, hands-on experience with cloud-based development, with a specific focus on Google Cloud Platform (GCP) stacks.
MLOps & Version Control: Proven experience with version control systems (Git) and building out structured MLOps environments (experiment tracking, continuous delivery for ML).
AI/ML Core: A robust understanding of mainstream AI/ML algorithms, frameworks, and modern machine learning paradigms.
Methodologies: Strong familiarity working within structured Agile/Scrum development workflows.
Problem Solving: Ability to independently navigate high-complexity technical challenges, knowing precisely when to execute solo and when to collaborate or escalate for efficient resolution.
Communication: Exceptional communication skills in English, with the ability to lead knowledge sharing and maintain architectural clarity across teams.
What We Offer:
A dynamic and innovative workplace, driving advancements in cutting-edge robotic technologies
The opportunity to collaborate with talented cross-functional teams on meaningful and impactful projects
Competitive compensation and a comprehensive benefits package
A supportive culture that fosters continuous learning, growth, and professional development
Flexible hybrid working model for an optimal work-life balance
25 days of annual leave to recharge and relax
An annual wellness allowance of 3,500 SEK to support your health and wellbeing