Forward Deployed Machine Learning & Computer Vision Engineer

NestAI builds the adaptive operating system for modern battlefield operations. Most AI systems are built once, validated at deployment, and expected to stay sufficient after that. That assumption holds until conditions change, and in defence, they always do. Our team develops adaptive intelligence for unmanned and command systems: AI that continuously learns from operational data and adapts to changing conditions, deployed in environments where there is no internet, no GPS, and failure is not an option. NestOS, our open, modular, and interoperable platform, enables this at scale and keeps capability evolution under sovereign European control.

Founded in 2025 by Peter Sarlin, whose previous company Silo AI became Europe’s largest AI acquisition, NestAI has grown to over 200 engineers and scientists and partners with leading European defence forces and industry. We’re ambitious about what we’re building and honest with each other. The bar is high, and so are the standards we hold ourselves to. But this is also a place built on humility, trust, and looking after each other. If that sounds like the kind of work you want to do, keep reading.

Join us as a Machine Learning & Computer Vision Engineer

As a Machine Learning & Computer Vision Engineer, you’ll work on a customer project in the Tampere region, taking perception models from prototype to production. You won’t just train models and hand them off; you’ll own the full path from a trained model to a reliable, deployed service running in the customer’s environment. This role suits someone who wants both the depth of real CV/ML engineering and the satisfaction of seeing what they build actually run in the field.

What you’ll work on

You’ll work closely with our AI researchers and the customer’s technical team in Tampere, bridging model development and production-grade deployment. Day-to-day, you will:

• Design, train, and optimize computer vision and perception models for real-time and embedded use cases, including object detection, tracking, segmentation, and 3D understanding

• Build and maintain data pipelines covering collection, labeling, and augmentation

• Package models into robust API layers (Python/TypeScript), containerize them with Docker, and deploy them to Kubernetes

• Architect and deploy inference services using frameworks like KServe, NVIDIA Triton, or Nuclio, across cloud and on-premise environments

• Integrate CV models into embedded and edge systems (e.g., NVIDIA Jetson, TensorRT) for real-world performance on site

• Take ownership of ML Platform components relevant to the project, ensuring governance, traceability, and best-practice workflows

What we’re looking for

If your background doesn’t match every requirement but the work resonates with you, we’d encourage you to apply. How you think, learn, and take ownership matters more to us than ticking every box. Here is what we are looking for:

• Strong expertise in computer vision and deep learning (CNNs, vision transformers, 3D perception)

• Proficiency in Python, with experience in PyTorch or TensorFlow

• Hands-on experience deploying ML/CV models to production, including Docker, Kubernetes, and cloud-native inference frameworks

• Experience with OpenCV, ONNX, or similar libraries for model optimization and deployment

• Familiarity with real-time inference on GPUs, edge, or embedded systems

• Understanding of camera systems, image calibration, and sensor fusion

• Experience with data pipelines, CI/CD, and Linux-based development

• A “DevOps mindset” and the drive to take something from prototype through to production and see it through

• Willingness to work on-site in the Tampere region as part of the customer project

Nice to have:

• Experience with robotics, autonomous systems, or multimodal perception

• Background in 3D vision, SLAM, or spatial AI

• Publications in top computer vision or robotics venues

Why join NestAI

• Work alongside over 200 engineers and scientists, including 60+ PhDs. People who’ve built AI platforms, autonomous systems, and defence technology across Europe. Most of our people say the best thing about NestAI is the people you get to work with.

• Work with real ownership. You identify what needs building, talk to the right people, and ship. Ownership here is the expectation, not a talking point.

• Work at a pace where Monday’s idea can be Friday’s deployment. The problems we’re solving are urgent, so the culture reflects it.

• Work on systems that must operate with no connectivity, no GPS, and no margin for error. The problems we’re solving are technically hard, genuinely novel, and they sit at the intersection of AI and the physical world.

• Work at a company where the platform, the practices, and the standards are all being built right now. The people here get to define how things work and how they scale.

What we offer

We offer practical benefits to support your work and wellbeing:

• The chance to participate in the NestAI Employee Stock Option Program (ESOP)

• Occupational healthcare (currently provided by Mehiläinen)

• Epassi Flex benefit for sports, culture, commuting, and wellbeing

• Lunch benefit (25% tax-free coverage)

• Mental wellbeing services via Auntie

• Holiday allowance (50% of holiday salary)

• Phone benefit (subscription and device per company policy)

• Your choice of Mac or PC

• Regular team lunches and company events

We are continuously developing our benefits offering as we grow.

Good to know

This role requires a security clearance, which is standard for defence industry positions in Finland. The process is handled by the relevant authority and typically takes two to three months. You can start working at NestAI before the clearance is finalised. We are happy to answer any questions about the process during the recruitment.

Please note, we can’t accept applications sent via email.

NestAI is an equal opportunity employer. We evaluate all applicants on their skills, experience, and potential, regardless of background, identity, or personal characteristics. We believe the best teams are built from diverse perspectives, and are committed to creating an environment where everyone can do meaningful work.