Head of AI Engineering

We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment.

You’ll be joining a performance-marketing team that operates as a strategic growth partner for global brands across 25+ industries.

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They work at the intersection of data, engineering, and creative, using advanced analytics and tailored strategies to drive conversions.

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The team runs full-funnel acquisition programs (search, paid social, emerging channels), continually optimising campaigns and building data-driven insights to allow their clients focus on product development and long-term growth.

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As Head of AI Engineering, you will own the end-to-end AI lifecycle — from research and prototyping to production deployment.

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You’ll lead the development of ML models that directly influence funnel performance, ranking, bidding, and creative optimization.

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Working closely with product and business teams, you’ll translate high-level goals into actionable ML solutions.

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• Lead the end-to-end AI roadmap — from problem definition and research to model development, deployment, and continuous iteration in production
• Architect and own scalable ML systems powering ranking, bidding, prediction, and creative optimization workflows
• Drive model performance improvements using rigorous experiment design, online/offline evaluation, and continuous monitoring
• Translate product and business goals into clear ML strategies, identifying where automation, prediction, or optimization can create measurable impact
• Collaborate cross-functionally with Product, Engineering, and Growth teams to define requirements, integrate models, and deliver features that directly affect funnel quality and ROI
• Establish high technical standards for model reliability, inference latency, data quality, and observability across the AI stack
• Mentor and guide ML engineers and researchers, fostering a culture of experimentation, ownership, and high-velocity delivery
• Design and implement scalable data pipelines for feature engineering, real-time inference, and model monitoring
• Oversee the deployment of new models ensuring reproducibility, versioning, CI/CD automation, and robust validation
• Partner with leadership to define long-term AI strategy and ensure AI investments align with product vision and revenue goals

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• 5+ years experience in applied ML, including hands on model development and deployment
• Deep understanding of the full ML lifecycle: data prep → feature engineering → training → evaluation → deployment → monitoring
• Proven experience building and owning ML systems in production, not only research prototypes
• Strong product intuition — ability to translate business problems into ML formulations
• Experience working with tabular data, predictive models, and optimization systems
• Strong engineering capabilities (Python, SQL, distributed systems concepts)
• Experience leading ML projects end to end in a fast moving environment
• Strong communication skills — ability to work with Product, Engineering, and Business teams

• Prior experience managing or mentoring ML researchers/engineers
• Experience with ranking, recommendation systems, or decision optimization
• Experience building inference microservices and ML infrastructure
• Familiarity with experiment design (A/B, bandits, uplift modeling)
• Background in AdTech, marketplace optimization, or bidding systems