Machine Learning Engineer (All genders)

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments. We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions. WHY JOIN US The software and systems you work on directly protect personnel and defend European and national sovereignty. You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms. We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing. ABOUT THE TEAM The Operations Excellence team sits within the COO organization and serves as a strategic partner to managers, team leads, and colleagues across Stark. By delivering data-driven insights, leading critical projects, and driving continuous process improvement, we help the organization operate more efficiently, scale effectively, and achieve its goals faster. As an individual contributor, you will take end-to-end ownership of complex initiatives with significant business impact. Working closely with cross-functional stakeholders, you will have the opportunity to influence key decisions, shape core operating processes, and contribute directly to the success of one of Europe’s fastest-growing unicorns. YOUR MISSION As Machine Learning Engineer, you own the data infrastructure and ML model development for the OAA team's AI use cases. You build the pipelines that feed models with clean, reliable data from both operational systems and back-office sources, deploy models into production, and ensure they perform reliably — from yield prediction on the line to anomaly detection in financial data. WHAT YOU WILL DO AT STARK Design and build data pipelines from operational (MES, ERP) and back-office sources feeding ML models Develop ML models for production and back-office use cases — from experimentation through to production deployment Deploy models into production: serving infrastructure, monitoring, drift detection, and retraining workflows Work with the OAA Lead and stakeholders to scope and validate ML use cases — feasibility, data availability, ROI Collaborate with the Automation Engineer to integrate model outputs into automated workflows Maintain and improve deployed models as data distributions and operational conditions evolve Document data pipelines, model architectures, feature definitions, and deployment configurations WHAT YOU BRING TO THE MISSION 4–7 years in data engineering or ML engineering Demonstrated experience deploying ML models to production: not just research or notebook-level work Python: core language for data engineering and ML development SQL: data extraction, validation, and pipeline development ML frameworks: scikit-learn, PyTorch, or equivalent MLOps fundamentals: model versioning, serving, monitoring, retraining MSc in Data Science, Computer Science, Statistics, or equivalent NICE TO HAVE Data pipeline tooling: Airflow, dbt, or equivalent Cloud data platforms: AWS, GCP, or Azure Experience with industrial, time-series, or back-office financial data If you're interested in building the future of European Defence with us, and you see yourself reflected on the description above, please send us your CV in English. We're looking forward to meeting you! SECURITY CLEARANCE Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process. EQUAL OPPORTUNITY We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law. DATA PRIVACY STATEMENT This data privacy statement, which refers exclusively to data collected as part of the online application process, is to inform you about how your personal data that is collected as part of the online application process is handled at our end. The controller The controller under data protection law is: SKD SE Französische Strasse 12, 10117 Berlin Commercial register entry number: HRB 260878 Registration Court: Amtsgericht Charlottenburg Data Protection officer: heyData GmbH, Schützenstraße 5, 10117 Berlin, www.heydata.eu, ----- Personal data collected as part of the application process Personal data means any information concerning the personal or material circumstances of an identified or identifiable individual. This includes information such as, for example, your name, address, telephone number and date of birth, but also data relating to your specific career etc. by reference to which a specific individual can be identified with reasonable effort. However, information which cannot be (in)directly associated with your real-life identity is not personal data. Fundamentals and purposes of processing personal data collected from application documents and during the application process If you apply to us electronically, i.e. via e-mail or using our online form, we will collect and process your personal data for the purpose of executing the application process and preparing contracts. By submitting an application via our recruitment website, you express your interest in taking up work with us. In this context, you transmit personal data, which we will use and store exclusively for the purpose of your job search / application process. In particular, the following data is collected during this process: name (first and last names) e-mail address phone number LinkedIn profile (optional) channel through which you found us Furthermore, you can choose to upload expressive documents such as a cover letter, your CV and reference letters. These may contain additional personal data such as date of birth, address etc. Only authorized HR staff and/or staff involved in the application process have access to your data. The personal data is stored, as a rule, exclusively for the purpose of filling the vacancy for which you have applied. Your data will be stored for a period of 180 days after the application process has been concluded. This is usually done to fulfill legal requirements and/or defending ourselves against any claims arising from legal provisions. After this period, we are obligated to delete or anonymize your data. In case of anonymization, the data will only be available to us in the form of so-called metadata, without any direct personal reference, for statistical analysis (for example, share of male and/or female applicants, number of applications per specified period of time etc.). Furthermore, we reserve the right to store your data for 180 days after the application process has been concluded for the purpose of adding it to our Talent Pool in order to identify any other vacancies that may be of interest to you. This includes, for example, applications for apprenticeships or internships. By accepting the data privacy statement, you consent to any further storage of your data as well as its inclusion in our Talent Pool. Should you be offered and accept a position with us during the application process, we will store the personal data collected as part of the application process for at least the duration of your employment. Disclosure of data to third parties Data transmitted as part of your application will be transferred using TLS encryption and stored in a database. This database is operated by Greenhouse, which offers a human resource and applicant management software solution (https://www.greenhouse.com/data-processing-addendum). In this context, Greenhouse is our processor under article 28 of the GDPR. In this case, the processing is based on an agreement for the processing of orders between us as the controller and Greenhouse. Rights of data subjects If we as the controller process personal data, you as the data subject have certain rights under Chapter III of the EU General Data Protection Regulation (GDPR), depending on the legal basis and the purpose of the processing, in particular the right of access (article 15 of the GDPR) and the rights to rectification (article 16 of the GDPR), erasure (article 17 of the GDPR), restriction of processing (article 18 of the GDPR), and data portability (article 20 of the GDPR), as well as the right to object (article 21 of the GDPR). If the personal data is processed with your consent, you have the right to withdraw this consent under article 7 III of the GDPR. To assert your rights as a data subject in relation to the data processed during this online application process, please refer to our Data Protection Officer (see item 2). Concluding provisions We reserve the right to adjust this data privacy statement at any point in time to ensure that it is in line with the current legal requirements at all times, or in order to accommodate changes in the application process or other processes. In this case, the new data privacy statement applies to any later visit of this recruitment website or any later job application. LEGAL NOTICE 1. Information according to § 5 DDG SKD SE Französische Str. 12 10117 Berlin Internet: www.stark-defence.com E-Mail: ----- SKD SE, Berlin (registered office of the company), is a Societas Europaea (legal form for joint stock companies), registered at the district court of Berlin (Charlottenburg) under the register number: HRB 260878 B, represented by th