Senior Machine Learning Engineer Job in Milan (Hybrid) | Salary Insights

📍 Location: eu

🏷 Type: Not specified

Job Intelligence

📍 More in this location:
Browse AI jobs in eu

🏷 Similar roles:

🌐 Explore all jobs:
View all AI job listings

Job Overview

This Senior Machine Learning Engineer role at MotorK sits at the intersection of applied AI, predictive systems, and product engineering. Designed for a mid-to-senior level (3+ years) professional, the position focuses on building scalable ML systems that directly impact automotive technology. You will own the full lifecycle—from experimentation to deployment—leveraging Python, deep learning frameworks, and cloud infrastructure. Ideal candidates are execution-driven, product-minded engineers who can translate ambiguous business problems into measurable ML outcomes.

🌍 Work Eligibility & Location

This is a Hybrid role requiring proximity to Milan, limiting accessibility for fully remote international candidates. The absence of clear visa sponsorship signals suggests preference for EU-based applicants or those with existing work authorization. For global candidates, this reduces immediate accessibility but remains viable if relocation eligibility exists independently.

💰 Salary Intelligence

Although the company does not publish compensation, market benchmarks for Senior Machine Learning Engineers in Milan indicate a range between €60K and €85K. This aligns with mid-to-senior level roles in European tech firms, particularly those leveraging cloud ML infrastructure. The addition of benefits like meal vouchers and internal mobility strengthens the overall package, though top-tier candidates may find compensation slightly below US-equivalent roles.

📊 Role Breakdown

This role is heavily execution-focused, with approximately 40% dedicated to building and deploying machine learning models using Python, TensorFlow, PyTorch, and Scikit-learn. Around 25% involves designing scalable ML pipelines and optimizing production systems using AWS, SageMaker, or Kubeflow. Another 20% is centered on experimentation and A/B testing, where you will quantify model impact and iterate rapidly.

The remaining 15% is strategic—collaborating with cross-functional teams to translate business problems into ML solutions and mentoring junior engineers. Key outputs include predictive maintenance systems, automated classification models, and data-driven marketing intelligence. This is not a research-only role; success is defined by shipping production-ready ML systems that deliver measurable business value.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a high-difficulty role due to its emphasis on end-to-end ownership and production-level ML engineering. Candidates must demonstrate not just modeling ability but also deployment, scalability, and experimentation expertise. The 3–5+ years requirement places it firmly in the experienced tier, with competition coming from both local EU talent and experienced international engineers already authorized to work in Europe.

🚀 Career Impact

This role offers strong career acceleration in applied AI engineering. You will gain direct experience in scaling ML systems in production, a critical differentiator for senior roles. Exposure to MLOps, experimentation frameworks, and cloud-native AI positions you for advancement into leadership or staff-level ML roles across Europe’s growing AI ecosystem.

📋 Key Responsibilities

You will design, build, and deploy machine learning systems that power real-world automotive applications. This includes developing predictive models using PyTorch, TensorFlow, and Scikit-learn, as well as optimizing pipelines on AWS and SageMaker. A core responsibility is to run A/B experiments and validate model performance against business KPIs.

You will also collaborate cross-functionally with product and engineering teams to convert ambiguous requirements into scalable solutions. Mentorship is expected—you will guide junior engineers and contribute to raising technical standards. Ultimately, your role is to ship reliable, scalable ML systems that directly impact product performance and revenue outcomes.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

How to use: Paste into ChatGPT, Claude, or Gemini

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

📅 Application Signals

This role shows moderate urgency given its strategic importance in scaling AI capabilities. However, competition is high due to the hybrid model and limited visa clarity, which narrows the pool to highly qualified, work-authorized candidates. Early application with a strong, tailored CV significantly improves success probability.

🔗 Apply for this Job

Apply on Company Site

✅ Job Source & Verification

This job listing is sourced directly from MotorK’s official hiring platform, ensuring high source credibility. Details including responsibilities, requirements, and benefits are aligned with the company’s published description. Last updated: April 2026. Candidates should verify application status on the official site for the most current availability.