Medior Software Engineer

Medior Software Engineer As an experienced Python engineer, you’ll step out of the proof-of-concept loop and build end-to-end, scalable (Gen)AI solutions that go straight into production for major clients. Join us Stop building AI that never meets production. Build systems that actually make an impact. Most AI roles stop at tweaking models or working on proof-of-concepts. Yours won’t. At ML6, you design, build, and deploy AI solutions that are used in production at companies like ASML, Bolt Energie and Randstad. WHAT'S IN IT FOR YOU Build robust software systems for our (Gen) AI solutions Work end-to-end: from data to production See your solutions live in real-world environments Combine AI, software engineering, and business impact High ownership and autonomy in your work Collaborate with smart, driven engineers THE IMPACT YOU MAKE You are more than an engineer. You are a builder and consultant in one. Design and build end-to-end AI solutions Architect the "To-Be" state, making strategic decisions on whether to leverage existing AI tooling or build custom solutions. Take systems from idea to production deployment Make architecture decisions and ensure scalability, observability and performance. Translate business challenges into technical solutions Work with Python, GenAI, and cloud (AWS/GCP/Azure) Build scalable systems using MLOps and CI/CD Lend your technical expertise to client conversations to successfully start new opportunities Time allocation: 70% client project work + 30% research , internal (domain) work and more. Note that ML6 is not an outsourcing firm, our agents work on projects together with a team of colleagues where autonomy is highly valued. WHY YOU 2+ years of working experience as a software engineer Proficient in Python Proven track record in delivering end-to-end solutions into to production Healthy curiosity about GenAI (currently hiring for this domain) Experience with cloud platforms (AWS, GCP, or Azure) Strong communication skills (technical and non-technical) in English. Proficiency in one of our local languages is a bonus (Dutch or German). Experience in usage of agentic coding tools to deliver robust and scalable systems Currently based in Europe, since relocation outside of Europe is not possible for this role today Bachelor or Masters Degree in computer science or related field WHY ML6 Less talking, more doing. Join us and push the boundaries of AI. Driving seat: Whether you want to grow further in your role or expand scope and responsibilities at one point, we shape the path together and provide support to accelerate your career in our fast evolving environment. Value driven innovation: Our work is guided by a commitment to Do Good and an Excellence in Delivery. You’ll work on challenging, diverse projects where your passion for technology creates a real-world impact. Transparent rewarding: We offer an attractive, optimized total package. Your salary depends on your expertise and impact. This expertise will be translated to a level and scope group on our salary grid and will be defined during the hiring process. View our rewarding philosophy and offerings here Unit Advisory & Delivery Locations Berlin, Amsterdam, Ghent, Eindhoven, Munich Employment type Full-time YOUR JOURNEY 1. GET TO KNOW Starting your ML6 journey means connecting with one of our recruiters who will guide you as they get to know you. We'll provide you with information up front and recommend to already go through it. 2. PRESENTATION TIME Time to show your soon-to-be colleagues, as we involve different ML6 agents in the journey, how you can contribute to our innovative projects by demonstrating your skills & creativity. It will challenge some of the key criteria for your future role. 3. FINAL INTERVIEW As you approach the finishline, we like to look back on your candidate journey, challenges and have a final interview with someone from our unit coaches and/or founders. FAQ Can I work fully remote at ML6? No. We deliberately follow a hybrid setup. We have a strong collaborative culture where we’d like to meet up at least a couple of times a week in one of our offices. Do know that ML6 provides a lot of flexibility in terms of working hours and how you schedule your agenda. Our offices are situated in Berlin, Munich, Amsterdam, Eindhoven and Ghent. What to expect when joining ML6? Don’t expect a big corporate organisation with pre-defined jobroles and a defined plan for the coming years. Expect the unexpected. Growth, change and impact. Learn from engaged experts with a like minded passion for technology. Expect to work for the most innovative and biggest companies across countries. What are examples of projects that ML6 worked on? At ML6, we boost and increase revenue growth for other companies, by implementing AI solutions. We do this for a broad range of industries. From manufacturing, to healthcare or media and entertainment industries (and lots more!). You can find some of our client cases and testimonials here . What about the ethical aspect of AI? At ML6 we take our responsibility to build secure, reliable and sustainable technology seriously and integrate ethics within our way of working. We have our own Ethical Advisory board to discuss sensitive projects. Read our blogpost on how we approach this practically here . Why is ML6 called ML6? ML stands for Machine Learning. Next to that, we don't take ourselves always very seriously. Our people are 'ML6 agents', wink to MI6. Seen the James Bond movies? Our meeting rooms for example are named after them. After all, we can be a bit geeky at times ;-) What does a typical AI project look like? This really depends on the scope of the project. A project can run for a couple of months, to even years. Our ML6ies work on projects together with a team of colleagues. This team can have different skills like data engineering, software, machine learning and project management to deliver top notch service to our clients. They sometimes work on different projects simultaneously or combine project work with an internal project or research topic. We are not an outsourcing firm. Is ML6 only a place for juniors to launch their career? Definitely not. We indeed believe in accelerating young graduates in their career and bringing in new fresh perspectives, but the same applies for seniors. We are always challenging ourselves to expand our capabilities and bring in new knowledge and expertise. People have a personal growth plan at our company, where they can choose to specialise more or to grow further in people and strategy responsibilities. In 2025, 45% of our hires were hired on a senior level. ML6 exposes you to an incredible ecosystem of leading AI talent and will continue to challenge you on a day-to-day basis by bringing you a big variety of projects and business problems. Can I also work on a product? At ML6 you can even work on multiple products! Sometimes we build products and platforms for customers (and/or internally) as well. Unum is a great example, but we’ve also, for example, built onboarding platforms for customers in the past. The good thing about ML6: you can choose to work for a longer amount of time on the same project or product, or if you’d like more variation, choose to rotate more towards different projects or products. Our core today still focuses on selling solutions, but we’re also maturing on the product side. In short: variation in your role will be differentiating. How technically in depth can I go at ML6? Our company stands for our engineering expertise. You’ll work alongside the most brilliant engineers, with a very in depth technical focus. Some use cases don’t need a very technical in depth solution, some do. At ML6 you can work in different domains (from GenAI to more classic ML), and on different types of client problems. We always make sure that our seniors are linked to more complex problems and to their domain of expertise (ex specific Cloud or Industry). How long does the application process take? On average, about 2-3 weeks starting from the first interview. Our junior technical process typically takes a bit longer, since we start with a coding challenge. Does ML6 still need real engineers? Absolutely! Here’s the thing: AI generates code at the speed of light, but understanding it still moves at the speed of thought. If you just let the AI run wild, you don’t get a finished product. AI-native engineering is the new normal. It makes us faster, and it allows us to bridge the gap between technical and functional roles in ways we never thought possible. But it’s not a magic button. It requires a more disciplined, human approach to design and quality control than ever before. Acceleration of delivery might unlock new use-cases that previously were not economically viable. About ML6 We guide the AI revolution towards positive impact. We believe in using the full potential of artificial intelligence to spark innovation, increase efficiency, accelerate growth, and create lasting impact. Our mission is clear: ensure that the next wave of technological breakthroughs drives progress not just for businesses, but for humanity as a whole. We bring AI ambitions to life. As ML6 highly values diversity, inclusion and transparent communication, we've implemented a formal channel to report serious misconduct here .