Machine Learning Engineering Lead

Overview

Job Description

Responsibilities

• - Own the ML function end to end: You hold the people, the priorities, the strategy, and the outcomes.
• - Set and sign off on ML strategy: Work with your ML engineers and Experts to develop strategic direction.
• - Build a high-performing team: Lead hiring, onboarding, performance management, and career development.
• - Own the operating systems: Build and maintain the rituals and structures that keep the team effective.
• - Enable without adding overhead: You are a sounding board, not a technical authority.
• - Drive collaboration with the Rosso Engineering Manager: Partner closely to align priorities between ML and software engineering.

Required Skills

• - Ownership orientation: You want accountability for outcomes, not just oversight of a team.
• - Strong management experience: Proven experience managing ML engineers or scientists at varying ranges of experience.
• - A strong people development track record: 1:1s and performance conversations that actually move people forward.
• - Experience building and owning team operating systems: the prioritisation frameworks, sprint cadences, incident review processes, and feedback loops.
• - A strong hiring instinct for ML roles: you have defined the bar, built pipelines in a competitive market.
• - Experience managing a technically diverse team: comfortable holding substantive conversations across different ML problem types.
• - Experience in a startup or high-growth environment: comfortable with ambiguity.

Benefits

• - Competitive salary
• - Stock Options - everyone on the team has ownership in our mission.
• - 25 days holiday + public holidays - Swap public holidays for ones that matter most to you.
• - Remote & flexible working - We're fully remote, distributed across Europe with clear core hours.
• - Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup.
• - Up to £150 / €150 monthly on anything that supports your wellbeing.