Principal Ml Engineer 199877

Harnham; Barcelona; Híbrido; EUR 122.000 - 149.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

4.5-day work week

Flexible remote work

Longevity bonus

Wellbeing initiatives

Career progression

Descripción de la vacante

Harnham busca un Principal Machine Learning Engineer en Barcelona, con rol híbrido, para liderar la estrategia técnica de ML y seguir involucrado en el desarrollo y en sistemas de producción a gran escala.

Definirá la dirección técnica, diseñará modelos, liderará motores de recomendación y mejorará MLOps, monitorización y escalabilidad. Colaborarás con ingeniería y negocio para alinear iniciativas con objetivos comerciales y mentorizar al equipo.

Formación

• Amplia experiencia comercial construyendo y gestionando sistemas ML en producción.
• Experiencia desplegando modelos ML a gran escala.
• Habilidades avanzadas en Python y frameworks como PyTorch o TensorFlow.
• Conocimiento sólido de MLOps y gestión del ciclo de vida de modelos.
• Experiencia con sistemas de recomendación, LTV o churn.

Responsabilidades

• Definir la dirección técnica de los sistemas de ML y marcos de trabajo.
• Diseñar, desarrollar y optimizar modelos ML en producción.
• Liderar desarrollo de motores de recomendación, bidding y targeting.
• Construir modelos de attribution móvil y de valor de vida del cliente.
• Impulsar MLOps, monitorización y retraining automático.
• Mejorar infraestructura de ML y plataformas de experimentación.
• Colaborar con líderes de ingeniería y stakeholders para alinear objetivos.
• Mentorizar ingenieros y participar en decisiones de arquitectura.

Conocimientos

Python

PyTorch

TensorFlow

MLOps

Model deployment

Educación

PhD in STEM

Descripción del empleo

Descripción del trabajo

Principal Machine Learning Engineer

Barcelona, Spain (Hybrid) | Up to €135,000 Base + Bonus (c.€150,000 OTE)

This is an opportunity to join a growing, profitable AI-driven technology business where machine learning is central to the product and commercial strategy. The role offers a rare blend of technical leadership and hands-on engineering, allowing you to shape the future direction of ML systems while solving complex challenges at scale.

The Company

They are an established technology scale-up that develops advanced machine learning solutions to power highly personalised digital experiences for millions of users worldwide. Operating internationally, the business has grown significantly in recent years and continues to invest heavily in its data and AI capabilities.

Their machine learning teams work on large-scale real-time systems where model performance directly impacts commercial outcomes. With a collaborative engineering culture and strong leadership support, they offer an environment where innovation and experimentation are encouraged.

The Role

As a Principal Machine Learning Engineer, you will provide technical leadership across the machine learning function while remaining closely involved in model development and production systems.

Key responsibilities include:

• Defining technical direction for machine learning systems and frameworks.
• Designing, developing and optimising machine learning models in a large-scale production environment.
• Leading the development of recommendation engines, bidding algorithms and audience targeting systems.
• Building mobile attribution models and solutions focused on customer lifetime value and churn prediction.
• Driving best practice across MLOps, model monitoring, observability and automated retraining.
• Enhancing machine learning infrastructure, experimentation platforms and deployment processes.
• Partnering with engineering leaders and business stakeholders to align machine learning initiatives with commercial objectives.
• Mentoring engineers and contributing to architectural decisions across the wider technology organisation.

Your Skills & Experience

• Strong commercial experience building and owning machine learning systems in production.
• Experience developing and deploying machine learning models at scale.
• Advanced Python skills alongside experience with modern machine learning frameworks such as PyTorch or TensorFlow.
• Excellent understanding of MLOps, model lifecycle management and production machine learning environments.
• Experience working with recommendation systems, predictive modelling, LTV modelling, churn prediction or related machine learning applications.
• Strong software engineering fundamentals with a focus on scalability, performance and reliability.
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Experience within AdTech, programmatic advertising, real-time bidding or demand-side platforms would be highly beneficial.

Nice to Have

• PhD in a STEM discipline.
• Experience within DSP environments.
• Exposure to mobile advertising, attribution modelling or related performance marketing technologies.

What They Offer

• 4.5-day working week with Friday afternoons off.
• Flexible remote working policy.
• Longevity bonus awarded every two years.
• Strong work-life balance and employee wellbeing initiatives.
• The opportunity to shape machine learning strategy within a growing and profitable technology business.
• Clear opportunities for progression and increased technical influence.

Interview Process

• Introductory conversation with the Talent Acquisition team.
• Take-home technical assessment.
• Technical interview and assessment review with senior machine learning engineers.
• Interview with the CTO.
• Final executive leadership interview. xkdbapo