Forward Deployed AI Engineer

NestAI; Tampere; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

ESOP Program

Occupational healthcare

Epassi Flex benefit

Holiday allowance

Phone benefit

Mac or PC

Team lunches

Job summary

NestAI is seeking a Forward Deployed AI Engineer to join our team in Tampere. You will embed with customers to validate technology in real-world deployments, translate needs into concrete ML problems, and ship production-ready solutions.

The role blends hands-on engineering with client-facing responsibilities, requiring comfort in dynamic environments, strong ML fundamentals, and the ability to adapt models to noisy field data and real-time constraints.

Qualifications

• Strong knowledge of machine learning theory and common deep learning architectures.
• Proficiency in Python with PyTorch or TensorFlow.
• Experience with version control (Git) and Linux-based environments.
• Familiarity with cloud or edge compute environments (GCP, AWS, Azure).
• Willingness to travel to and work in customer environments as needed.
• Good communication skills and ability to engage with non-ML stakeholders.

Responsibilities

• Work directly with customer teams to understand operational requirements and translate them into concrete technical problems.
• Design and implement algorithms for sequential decision-making, autonomous behavior, or specialized workflows.
• Adapt and fine-tune models to perform reliably on real operational data.
• Prototype rapidly in field or customer environments and harden for production.
• Collaborate with internal platform, embedded, and perception teams to feed field learnings back into NestOS.

Skills

Python

ML theory

Deep learning architectures

PyTorch

TensorFlow

Git

Linux

Cloud / edge compute

Communication

Willingness to travel

Tools

PyTorch

TensorFlow

Git

Linux

GCP

AWS

Azure

CUDA

Job description

NestAI is a European AI lab for defence delivering the adaptive operating system for modern battlefield operations. We develop adaptive intelligence for unmanned and command systems: AI that continuously learns from operational data and adapts to changing conditions.

NestOS is our open, modular and interoperable platform that 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 brings together over 150 engineers and scientists and partners with leading European defence forces and industry.

Role Description

We are looking for a Forward Deployed AI Engineer to join NestAI. In this role, you will work embedded directly in our customers' environments, sitting at the intersection of advanced machine learning and real-world execution. You will shorten the path from prototype to fielded capability: validating our technology against operational reality, adapting it on the fly to the constraints and data of each deployment, and feeding what you learn back into the core product.

This is as much a client-facing role as it is a technical one. You will navigate shifting environments, build trust with operators and customer engineering teams, and take ownership of problems that do not come with a clean spec. You will need to be comfortable being the technical voice in the room with a customer, translating between what they need and what is actually possible, while still being hands-on enough to build, debug, and ship the solution yourself.

On the technical side, we're looking for strong AI/ML engineers with real breadth in machine learning - deep learning, decision-making, and increasingly LLM-driven or agentic workflows - who can adapt to whatever a deployment demands. Solid grounding in signal processing, whether from classical methods or modern learned/deep approaches, is particularly valuable given the sensor-heavy, real-time nature of our operating environments, but we don't expect mastery of both AI and signal processing in one person. Squads are built so that complementary backgrounds cover the full stack.

Day-to-day Responsibilities:

• Working directly with customer teams to understand operational requirements, constraints, and failure modes, and translating those into concrete technical problems.
• Designing and implementing algorithms for sequential decision-making, autonomous behavior, or specialized application workflows - drawing on whichever combination of ML, LLMs, control, or signal processing the deployment calls for, often alongside teammates with complementary backgrounds.
• Adapting and fine-tuning models to perform reliably against real operational data, which is often noisier and more constrained than anything seen in the lab.
• Rapidly building and iterating on prototypes in the field or in customer development environments, then hardening the ones that prove out for production.
• Collaborating with our internal platform, embedded, and perception teams to bring field learnings back into NestOS and ensure deployed solutions are supportable long-term.
• Building lightweight simulations, test harnesses, or data pipelines on-site to validate algorithms before they scale. Adapting state-of-the-art research in deep learning, signal processing, reinforcement learning, or NLP/LLMs into working, production-ready code under real deployment pressure.

Qualifications:

• Note: we don't expect deep expertise in both AI and signal processing. One strong discipline plus a willingness to grow into the other is enough.
• Working knowledge of signal processing: either a strong background in classical DSP (filtering, spectral analysis, estimation) or in modern learned/deep approaches to signal data, with genuine curiosity about the other side.
• Strong working knowledge of machine learning theory and common deep learning architectures, with the ability to pick up new subfields (decision-making, LLMs, or signal processing) as the deployment requires.
• Proficiency in Python and hands-on experience with PyTorch or TensorFlow.
• Good communication skills and comfort engaging with customer or non-ML stakeholders; a consultative mindset is a plus but can be developed on the job with support from the team.
• Understanding of data processing pipelines and model deployment basics (cloud or edge).
• Experience with version control (Git) and Linux-based environments.
• Some familiarity with cloud or edge compute environments (e.g., GCP, AWS, Azure, or hardware accelerators).
• Willingness to travel to and work in customer environments as needed.

Preferred Extras:

• Prior experience in a forward-deployed, solutions engineering, or field applications role
• Previous experience working within or for DefSec (Defense & Security) companies
• Experience building applications with LLMs, agentic workflows, or handling large-scale cloud data infrastructure.
• Experience in Reinforcement Learning, Control Systems, Computer Vision, or Sequential Decision Making.
• Experience with edge deployment and real-time inference optimization (e.g., TensorRT, quantization, pruning) for constrained environments.
• Proficiency in C++ or experience with custom CUDA kernels.

At NestAI, you will build meaningful, real-world technology as part of a world‑class team of engineers, scientists, and experienced professionals. You will work directly with the people who use what you build, see the impact of your work in the field rather than a dashboard, and contribute to Europe's security and resilience. If you want to build with purpose - with leading experts in the field - you have come to the right place.

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
• 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.

Practicalities

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.

Relocation support is considered on a case‑by‑case basis.

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.