• Transform product challenges into AI / ML solutions, from recommendation engines and adaptive goal-setting to NLP-driven insights and personalised nudges.

• Build, deploy, and optimise ML models and microservices that seamlessly integrate into the user experience.

• Develop and maintain scalable AI / ML infrastructure and automated pipelines for training, evaluation, deployment, and monitoring.

• Partner with analysts and engineers to productionise models and enable feedback loops for continuous improvement.

• Design and manage data workflows and feature stores, using Snowflake and AWS services.

• Help evolve our data architecture, ensuring scalability, reliability, and compliance with data security standards.

• Contribute to team culture by supporting peers through knowledge and best practice sharing.

• 5+ years of software or data engineering experience, including at least 1–2 years of AI / ML Ops or production ML systems.

• A strategic vision for making our product AI-first—and the practical plan to make it happen.

• Strong proficiency in Python, modern ML libraries (PyTorch, TensorFlow) and production ML tools (MLflow, etc.).

• Proven ability to build and deploy microservices to production (FastAPI, Flask, Tornado, Sanic).

• Solid experience with data platforms such as Snowflake and PostgreSQL.

• Familiarity with ML Ops best practices including CI/CD, model versioning, reproducibility, and observability.

• Bonus: Experience with Large Language Models (LLMs), Generative AI, behavioural science models, or personalisation systems.

Upon the receipt of your application, our Talent Acquisition team will thoroughly evaluate your submission. We endeavour to respond within 3-5 business days. If your application progresses positively, you will be invited to participate in our comprehensive selection process, which includes the following stages:

• Your first step: A call with a member of our Talent Acquisition team

• Your second step: A call with focus on hard skills and communication with the Head of Data

• Your third step: A focus on your tech skills with a take home Case Study

• Your fourth step: A call to present your Case Study to a representative from the Engineering team and Product team

• Your final interview: A value-add call with our Chief Product and Growth Officer

After these interview stages are completed, our hiring team will convene for a debrief session to discuss your application. Following this debrief, our Talent Acquisition Partner will contact you to provide feedback and communicate the final decision regarding your candidacy. We value your interest in our organisation and appreciate your participation in our selection process.

A sneak peek into your benefits:

• Additional health insurance coverage for 900 EUR per year

• 30 days of remote work allowance

• Up to 33 days annual vacation allowance (28 base days, + yearly tenure bonus up to 3 days, + 2 days for using the Humanoo app!)

• Subsidy for your UrbanSportsClub membership

• 70 EUR monthly cashback to cover daily expenses

• 500 EUR yearly personal learning and development budget

• Self-development days allowance (workshops, conferences, training sessions etc.)

• Team events and company events

• Referral bonus for employees

• Corporate benefits

• Humanoo for Humanoos!

• Employee Assistance Programme (EAP) for mental well-being

Please note: our offices close over the Christmas and New Year period for approximately two weeks. We gift the 24th and 31st December as extra vacation days and any additional non-public holiday days during this time will be taken from your annual leave.

What we stand for:

• Customer First: We create meaningful, human connections to improve outcomes for our customers and our communities, powered by our world-leading technology, collective ingenuity and culture of caring.

• Embrace Change: We challenge the status quo, experimenting and taking calculated risks to differentiate ourselves from our peers and deliver consistently leading results.

• Grow Together: We welcome everyone to bring their whole self to work, appreciating our uniqueness and always standing together as one team.