Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Europe"), this listing's salary midpoint is about 91% lower. The offer sits below the benchmark range (€3,060–€14,526). The listed pay band (€661–€959) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 33 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Machine Learning Engineer | €11,159/per month | €16,639/per month | €21,189/per month |
| All roles in Remote - Europe | €3,060/per month | €5,524/per month | €14,526/per month |
| This job's pay range — not quoted in ad (Executive) | €661/per month | €810/per month | €959/per month |
Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies. We are seeking an exceptionally talented Lead Machine Learning Engineer to join our rapidly growing consulting team. In this role, you will lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients. You will work at the intersection of machine learning, distributed systems, and production software engineering, helping transform cutting-edge ML research into robust, production-grade solutions. As a Lead ML Engineer, you will guide ML architecture decisions, mentor engineers, and collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries. Location Fully Remote/ European Residence required Compensation Salary Work Schedule Full time/ Flexible working hours Reports to Head of Engineering Member of Engineering Team
Job Details
Responsibilities
- Lead the design, development, and deployment of scalable ML/AI systems for enterprise clients.
- Guide architecture decisions and mentor engineers.
- Collaborate with cross-functional teams to deliver AI solutions across industries.
Requirements
- 8+ years of experience in software engineering, machine learning engineering, or applied AI.
- 3+ years of experience in technical leadership or mentoring engineering teams.
- Strong experience developing and deploying machine learning models in production environments.
- Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience designing scalable ML systems and data pipelines.
- Strong programming skills in Python and experience with backend or distributed systems.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Experience with containerization and deployment technologies (Docker, Kubernetes).
- Strong understanding of MLOps practices and model lifecycle management.
- Excellent problem-solving skills and ability to work independently in remote environments.
- Strong written and spoken English communication skills.
- Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Skills & Technologies
Education Level
Bachelor
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