Senior Manager ML & AI

Harnham; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive base salary with performance-related bonus

Emphasis on learning and technical excellence

Collaborative culture with investment in data and AI

Job summary

Harnham is seeking a Senior Leadership Role to shape the application of AI and machine learning on a large consumer platform. You'll lead a team of data scientists, set the ML and AI strategy, and influence product direction for impactful solutions. The role emphasizes high standards in model evaluation and a collaborative culture built around data and AI. Candidates should have extensive experience in machine learning and a strategic mindset to connect technical decisions with business outcomes.

Qualifications

• Strong commercial experience building and deploying machine learning systems in production.
• Deep understanding of modern AI techniques, including generative AI.
• Experience leading data science or ML teams in a product-driven environment.

Responsibilities

• Lead and develop a team of data scientists within product teams.
• Set and own the ML and AI strategy aligned with business goals.
• Drive standards in model evaluation, MLOps, and best practices.

Skills

Building and deploying machine learning systems

Understanding of ML concepts and AI techniques

Leading or mentoring data science teams

Strategic mindset

Influencing stakeholders

Knowledge of modern data stacks and MLOps

Job description

This is a senior leadership role for someone who wants to shape how AI and machine learning are applied at scale across a high‑impact consumer platform. You will define strategy, influence product direction, and lead teams building production‑grade ML and generative AI solutions that directly affect millions of users.

The Company

They are a well‑established digital platform operating at significant scale, with data and technology at the core of their product strategy. AI and machine learning are central to how they improve user experience, relevance, and efficiency. The organisation values pragmatic innovation, strong engineering standards, and collaboration between product, data, and engineering teams.

The Role

• Lead and develop a team of data scientists embedded within product teams
• Set and own the ML and AI strategy, aligning technical direction with long‑term product and business goals
• Champion an AI‑first approach, identifying where traditional ML, generative AI, or hybrid solutions deliver the most value
• Oversee the full lifecycle of ML and AI systems, from experimentation to reliable production deployment
• Drive high standards in model evaluation, MLOps, and engineering best practices
• Make informed build‑versus‑buy decisions for models, platforms, and third‑party tools
• Act as a senior partner to product, engineering, and business stakeholders

Your Skills & Experience

• Strong commercial experience building and deploying machine learning systems in production
• Deep understanding of core ML concepts and modern AI techniques, including generative AI and large language models
• Experience leading or mentoring data science or ML teams in a product‑driven environment
• Strategic mindset, with the ability to connect technical decisions to business impact
• Confidence influencing senior stakeholders and making decisions with imperfect information
• Solid knowledge of modern data stacks, MLOps, and scalable ML architectures

What They Offer

• Competitive base salary with performance‑related bonus
• High‑impact role with clear ownership and strategic influence
• Strong emphasis on learning, experimentation, and technical excellence
• Collaborative culture with real investment in data and AI capability