Lead ML/AI Engineer

ABOUT THE COMPANY

Our client is an end-to-end data services partner to global enterprises, founded in 2008 and headquartered in Warsaw. Our teams work with over 75 leading consumer packaged goods brands across more than 30 countries, helping them unlock the full value of their data — from strategy and development through to operations and adoption.

Our work spans supply chain analytics, customer analytics, AI and machine learning, data platforms, and digital commerce. We are recognised as a Strong Performer in the Gartner Peer Insights Voice of the Customer report for data and analytics, and hold Great Place to Work certification in multiple countries.

ABOUT THE ROLE

We're looking for a Lead ML and AI Engineer to lead a team delivering AI agents and automation solutions across enterprise client environments. This is a hands-on leadership role — you'll split your time between engineering and guiding others, balancing strategic thinking with direct delivery.

You'll work cross-functionally with IT managers and business stakeholders to drive AI adoption, support upskilling, and ensure that the solutions the team builds are reliable, secure, and built to last. Collaboration with infrastructure, security, and application teams is central to how this role operates.

WHAT YOU'LL WORK ON

Team leadership and mentorship

Lead and mentor a team of engineers, maintaining high standards of delivery and supporting the technical growth of everyone on the team.

AI agent and automation development

Design, develop, and deploy AI agents and automation workflows. Stay hands-on across the full solution lifecycle — from architecture through to production.

Maintenance and reliability

Own the reliability, security, and performance of existing AI agents. Identify improvements proactively and drive them to completion.

Cross-functional collaboration

Work closely with IT managers across business units to implement and embed AI in their respective areas. Coordinate with infrastructure, security, and application teams to ensure scalable and secure AI operations.

AI upskilling support

Support IT teams in building AI capability — providing guidance on tools, best practices, and platform usage as they develop their own proficiency.

WHAT WE LOOK FOR

Production-grade AI delivery experience

A proven track record of delivering production AI or automation solutions — not just research or prototypes — in complex enterprise environments.

Hands-on AI agent and pipeline experience

Strong practical experience building AI agents, pipelines, or automation workflows. You're comfortable getting into the detail when needed.

Strategic and technical balance

Able to think at the system and programme level while remaining close enough to the engineering to maintain quality and credibility with the team.

Clear communication

Able to communicate technical decisions and trade-offs clearly to both engineering teams and non-technical stakeholders.

Ownership and reliability mindset

Proactive by nature. You take responsibility for outcomes, not just outputs, and consistently push for improvement in reliability and quality.

THE TEAM

You'll join a specialist Data Science and AI Engineering practice working alongside experienced data scientists, ML engineers, and cloud engineers. The team delivers solutions for large international clients across CPG, retail, and manufacturing. There is a strong knowledge-sharing culture, with internal communities, competency centres, and structured learning programmes built into how the team operates.

COMPENSATION & BENEFITS

Rate

120 – 140 PLN per hour on a B2B contract, depending on experience.

Work model

Fully remote or office-based — your choice. Flexibility on working hours and contract form.

Workation policy

Option to work remotely from other locations for defined periods.

Onboarding

Comprehensive online onboarding programme with a dedicated buddy from day one.

Learning and development

Unlimited access to the Udemy learning platform from day one. Certificate training programmes, upskilling support, capability development programmes, competency centres, knowledge sharing sessions, community webinars, and over 110 training opportunities per year.

Career growth

Internal promotion pathways — 76% of managers were promoted internally. Cooperation with top-tier engineers and domain experts across the organisation.

Referral bonuses

Financial rewards for successful employee referrals.

Wellbeing

Activities to support health and wellbeing, with opportunities to contribute to charitable causes and environmental initiatives.

Equipment

Modern office equipment provided.

Employer recognition

Great Place to Work certified employer.