We are an AI engineering company that builds end-to-end AI solutions. By applying the latest AI research, we keep our clients at the forefront of innovation. If you are interested check out:
https://www.ml6.eu/en/customers/cases/
Work on innovative projects for the biggest clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing models using sensor data for quality control. You can find it all at ML6. You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers and help bring application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).
Open roles include:
• Senior AI Engineer
• Senior Software Engineer
• Medior AI Engineer
• Squad Lead GenAI
and many more!
Apply now at https://jobs.ml6.eu/
We're building the world's first commercial stellarator fusion power plant. First spin-out from the Max Planck Institute for Plasma Physics, based on Wendelstein 7-X (the largest stellarator ever built), €650M+ raised, teams in Munich, Zurich and Oxford.
Finding a good stellarator design means searching an enormous high-dimensional space, and every candidate design needs heavy plasma physics simulation. That's the compute problem this role owns: cloud + HPC clusters, K8s, Ray, Dask, and the platform work around it (CI/CD, IaC, observability).
You'd sit directly next to the physicists and AI researchers burning through that compute, so you see exactly what your infrastructure unlocks. Python and Linux.
If you've wanted to point your platform engineering skills at something that actually matters, clean, abundant energy, this is about as direct a shot as it gets, and it's happening in Europe.
Interview process: recruiter call, meet the team lead, technical panel, meet the CEO.
https://jobs.ashbyhq.com/proxima-fusion/5aebfef0-0c2c-4c87-9...
neoshare builds software for banking and real estate: complex financing workflows, property valuation and market intelligence, and corporate ownership analysis.
We're hiring engineers for teams of up to four people, each owning a product or part of our shared platform. The team handles customer problems, product decisions, design, implementation and production. Work ranges from permissions and data infrastructure to financial domain logic and user interfaces.
Looking for people who have shipped products and are strong across disciplines: full-stack engineers with product sense, design engineers, and backend/platform engineers who care about how their systems are used.
We use LLMs throughout development, from exploring codebases to implementing and testing features. You should be comfortable directing them, reviewing their work, and taking responsibility for what ships.
German preferred, especially for customer-facing work; but not a must.
Hiring process: intro call, a 90-minute product exercise with your own tools, and a joint review.
Apply: product-jobs@neoshare.com. Send a few links to things you've built and a short note on your contribution.
The role is to help set technical direction for how we build and use coding agents at Google: agent infrastructure, making Googlers more productive with agents, and making the agents themselves better.
We’re especially looking for someone who has actually built agentic systems and has experience using them to make software development materially faster in a large engineering organization. This is not primarily a “follow the space” role — we want someone who has shipped these systems, learned what works and what doesn’t, and can use that experience to shape the next generation.
The space is moving very quickly and is competitive both inside Google and externally. We’re looking for someone highly creative who wants to challenge how things are done today, has strong technical judgment, and can turn ideas into working systems with the team.
A big part of the role is not just setting direction, but getting there: prototyping, building, iterating, and inspiring the team to rethink what is possible.
If that sounds interesting, please apply:
https://www.google.com/about/careers/applications/jobs/resul...