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Technical Lead

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Company
Harnham
Job location
Eastern England, UK
Salary
Undisclosed
Posted
Hosted by
Adzuna

Job details

Role: Technical Lead Salary: Up to £110,000 WFH: Once per quarter in-office, Central London Overview Our client is a technology company delivering AI-first revenue optimization tools to the hospitality sector. Operating independently within a well-funded and fast-paced environment, they are now hiring a Tech Lead to lead their Platform team, responsible for the infrastructure and automation that powers advanced ML-driven pricing models used by hotels worldwide. Key Responsibilities Lead and mentor a small, high-performing engineering team * Own and evolve the infrastructure that supports AI/ML predictions at scale * Collaborate with Data Science teams to improve model deployment workflows * Drive technical architecture to ensure platform performance and reliability * Stay hands-on with Python, Kubernetes, and GCP * Maintain high development standards, tooling, and CI/CD pipelines * Work cross-functionally with product and science teams to deliver business value Ideal Candidate 3 years of engineering leadership, ideally in platform or infrastructure teams * Strong technical foundation in cloud-native environments (GCP, Kubernetes) * Proficient in Python, particularly within data science or ML contexts * Ability to engage in technical discussion with Data Science teams * Experience building scalable and resilient systems * Hands-on technical leader who engineers look up to * Strong communicator with a collaborative and proactive mindset Tech Stack / Tools Python * Kubernetes * CI/CD tooling * ML infrastructure & observability systems Benefits Generous equity package * Flexible hours with minimal in-office expectations * Flat, collaborative team culture with strong technical autonomy * Key role shaping foundational AI infrastructure for the hospitality sector * Well-funded SaaS environment with global reach and impact Desired Skills and Experience Python, GCP , Google Cloud Platform, Kubernetes, CI/CD tooling, ML infrastructure, observability systems
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