Senior Machine Learning Engineer - Stockholm

eghed

Stockholms kommun

On-site

SEK 600,000 - 800,000

Full time

14 days+
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Job summary

A technology solutions firm in Sweden is seeking an experienced ML Engineer to design and maintain machine learning systems. The role demands at least 5 years of experience, technical leadership, and excellent communication skills. The company values innovation and offers an atmosphere where creativity thrives. Apply today to join their dynamic team and make an impact in the AI solutions space.

Qualifications

  • At least 5 years of experience as an ML Engineer.
  • Excellent written and verbal communication skills.
  • Strong skills in communication, organization, and teamwork.

Responsibilities

  • Design ML system architectures spanning the full lifecycle.
  • Deploy and maintain production ML systems across diverse environments.
  • Provide technical leadership through code reviews and architecture discussions.

Skills

Machine Learning
Data Pipelines
Model Serving
Performance Optimization
Communication

Education

University degree in a technical field

Job description

About eghed

eghed is an expertise group passionate about creating the AI solutions of the future. We are an innovative team with a strong passion for technology and an entrepreneurial spirit that permeates everything we do. Through close collaborations with our partners, both on-site and in-house, we develop solutions that not only meet today’s needs but also open doors to tomorrow’s possibilities. We have already developed proprietary IP that accelerates our deliveries, and we are constantly seeking new ways to push the boundaries of what is possible.

About The Role

This is a role where you’ll encounter varied technical environments and business contexts. We’re looking for engineers who understand ML & engineering fundamentals deeply and can apply them across different technology stacks. If you’re technology-agnostic, adaptable, and driven by core concepts rather than specific tools, we encourage you to apply

Your Responsibilities May Include

Design ML system architectures spanning the full lifecycle: data pipelines, training infrastructure, model serving, and monitoring. Make architectural tradeoffs considering scale, latency, cost, and maintainability for production environments.

Deploy and maintain production ML systems across diverse environments and requirements, with focus on reliability, performance optimization, and deployment best practices (canary releases, A/B testing, rollback strategies, CI/CD integration)

Provide technical leadership through code reviews, architecture discussions, and mentoring. Bridge technical and business stakeholders by translating complex ML concepts into actionable insights and strategic recommendations.

Helps both us and our partners to optimize processes, identify trends, and develop data-driven strategies for growth and innovation.

We Believe That You

Have at least 5 years of experience as an ML Engineer.

Have a university degree in a highly technical and quantitative field (e.g., Mathematics, Physics, Software Development, Engineering etc.

Have excellent written and verbal communication skills, both technical and non-technical. Strong skills in communication, organization, and teamwork, combined with solid business acumen.

Thrive in a dynamic and fast-paced environment where you have the freedom to think and create on a large scale.

Are committed to contributing to the company’s success and growth and have an entrepreneurial spark.

Why eghed?

At eghed, you won’t just get a job – you’ll get an opportunity to join a journey where you can make an impact and create real change. We are a team that values innovation, collaboration, and a healthy dose of fresh thinking. Here, you’ll have the space to grow both professionally and personally, and we look forward to hearing your ideas and visions for the future.

Application

Does this sound like something for you? Apply or send your application and CV to info@eghed.se as soon as possible. We lookforward to welcoming you to our team!

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