What is this role about?

As the Lead Machine Learning Engineer at Bondora, you will be the backbone of our Data Science delivery. Your mission is to build the robust infrastructure that powers automated model pipelines, ensures deployment reliability, and governs the full ML lifecycle from experimentation to production

.
This is a strategic and hands on engineering role. You will collaborate closely with Data Science, Data Engineering, and Development teams to remove friction, improve scalability, and bring stable, high quality ML solutions into everyday decision makin

g.
You will guide the evolution of our ML engineering stack, lead high impact initiatives, and mentor engineers while shaping a culture of technical excellence.

🌿
Your main responsibilitie

• s 🎯
  Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies, tools, and processes that improve scalability and reliabi
• lity.Lead complex, high risk, or cross departmental projects that directly influence Data Science delivery, risk model performance, and production stabi
• lity.Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challe
• nges.Design and build advanced, production grade ML infrastructure and set the engineering standard for the
• team.Ensure all ML solutions are secure, observable, resilient, and scalable, following governance, compliance, and operational best pract
• ices.Mentor ML Engineers through code reviews, design sessions, and hands on technical leader
• ship.Identify weaknesses or inefficiencies in model or data infrastructure and drive company wide improvem
• ents.Represent the ML Engineering team in technical discussions and communicate architectural decisions clearly to stakehol

ders.
What would ensure success in this ro

• le? 💪
  Strong Python engineering background and experience with MLflow, Unity Catalog, Databricks, or equivalent platforms used for model lifecycle mana
• gement.Proven experience designing ML infrastructure, including CI/CD, containerization with Docker or Kubernetes, and orchestration with Airflow or P
• refect.Deep understanding of monitoring and observability frameworks such as Prometheus, Grafana, or Datadog, and a track record of improving pipeline relia
• bility.Expertise in model governance, versioning, auditability, and operationalization from research to prod
• uction.Solid knowledge of cloud infrastructure on AWS, GCP, or Azure, including cost effectiveness and security best pra
• ctices.Experience leading cross functional initiatives and mentoring eng
• ineers.Ability to balance innovation and stability through structured experimentation, pilot phases, and safe adoption of new techno

logies.
What can you expect at B

• ondora?
  Contribute to Bondora’s ambitious goal of reaching 1BN in revenue. Your skills and efforts will directly impact our growth trajectory and shape the future of our
• company.Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (5 weeks of vacation, private healthcare compensation, hobby grant, mental healthcare support, share options and mu
• ch more!)We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket you

r career.
The n

ext steps:If you have the guts, ideas, and a team vision,

apply now!
Our hiri

n

• g process: Meet Iryna, our recruiter, for an initial conversation about your background and
• ambitions.Complete our personality and logic assessments via
• Alva Labs.Meet Rafael, Head of Da
• ta Science.Complete a life case study with Timothy (ML Engineer)
• and Rafael.Chat with Juris, our Chief Cred
• it Officer.If everything aligns, welcome to