ML Manager, Software Engineering (Decisions and Pricing Engineering EU) (Remote)

Jobgether; Lérida; A distancia; EUR 101.000 - 131.000; Jornada completa

Descripción de la vacante

A leading company in remote job matching seeks an ML Manager to lead a skilled team of machine learning engineers. This role involves strategic leadership in developing scalable ML models for business goals and customer needs, ensuring high-quality solutions in collaboration with cross-functional teams. Ideal candidates should possess deep expertise in machine learning and team management, aiming to innovate in the underwriting and credit assessment domains.

Servicios

Equity rewards, including stock options

Flexible Spending Wallets

Wellness days

Comprehensive health insurance

Learning and development programs

Visa sponsorship available

Formación

• 8+ years in machine learning engineering, with 2+ years in management.
• Expertise in scalable ML models and systems.
• Strong understanding of GLMs, Gradient Boosting, Deep Learning.

Responsabilidades

• Lead and mentor a diverse team of machine learning engineers.
• Collaborate with cross-functional teams on product roadmaps.
• Manage resource allocation and prioritization for projects.

Conocimientos

Machine Learning Engineering

Team Leadership

Problem-solving

Communication

Python

SQL

Distributed Systems

Herramientas

Spark

Ray

Descripción del empleo

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for an ML Manager, Software Engineering (Decisions and Pricing Engineering EU), remotely from Spain.

In this role, you will lead a team of skilled Machine Learning Engineers, working collaboratively with cross-functional teams to drive innovation in underwriting models and enhance credit assessment capabilities. You’ll be responsible for setting the strategic priorities and roadmaps for machine learning projects, managing resource allocation, and fostering a high-performing team. The successful candidate will focus on developing scalable machine learning models that align with both business goals and customer needs, while ensuring high-quality production-ready solutions.

Accountabilities :

• Lead a team of engineers to develop, deploy, and maintain high-quality machine learning models at scale.
• Collaborate with product managers, engineers, and designers to define and execute product roadmaps and technical solutions.
• Drive prioritization, resource allocation, and trade-off discussions with stakeholders, ensuring efficient planning and execution.
• Build and mentor a high-performing, diverse team by recruiting, coaching, and providing regular feedback.
• Work closely with cross-functional teams to align business and technical requirements, and drive the successful execution of machine learning initiatives.
• Participate in quarterly planning, ensuring alignment across teams and removing obstacles to progress.

Qualifications :

• 8+ years of experience in machine learning engineering, with at least 2 years in a leadership or management role.
• Expertise in developing machine learning models and systems at scale, with a strong understanding of techniques like Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
• Proficiency in Python, SQL, and distributed systems like Spark or Ray.
• Proven track record of building and leading diverse teams, with experience in mentoring and developing engineering talent.
• Strong problem-solving skills and the ability to navigate ambiguity while working in a fast-paced environment.
• Excellent communication skills, both written and verbal, in English.
• Experience in the Fintech or Retail industries is a plus.

Benefits :

• Competitive salary (base pay range €101,000 - €131,000 per year).
• Equity rewards, including stock purchase options.
• Flexible Spending Wallets for tech, food, and lifestyle needs.
• Away Days : Wellness days to recharge.
• Comprehensive health, dental, and vision insurance coverage for you and your dependents.
• Parental leave and supportive employee resource groups.
• Learning and development programs to foster career growth.
• Visa sponsorship available for candidates based in Spain.

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