---
title: 'Machine Learning Engineer at Reaktor'
canonical: 'https://feeny.ai/job/machine-learning-engineer-reaktor-helsinki-0nt2f0pa5t2c'
type: 'job'
last_seen: '2026-09-05'
---

# Machine Learning Engineer at Reaktor

- **Company:** Reaktor
- **Location:** Helsinki, Finland
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/reaktor/77ee8ddc-9d29-4b90-89e1-91a99da944ec

## Job description

Reaktor is looking for Machine Learning Engineers to join us in Helsinki.

Turn proof of concepts and ideas into production-grade AI services.

If you are interested in building and deploying bleeding edge machine learning models into production, where they continuously deliver tangible value to our customers, you might just be what we’re looking for.

As a Machine Learning Engineer at Reaktor, your job is to turn proof of concepts and ideas into production-grade AI services, help your team succeed, and deliver results.

At its core, Reaktor is a technology company that helps ambitious organizations become digital leaders. From premium software development to digital transformation, our global community of experts do it all – here https://www.reaktor.com/work are some of our most recent digital ventures to give you an idea of what that means.

Your daily tasks include:

- Working together with the client’s tech and business teams and helping them pick the right technologies suitable for their needs
- Delivering the client and the team according to the needs of the project
- Building, deploying, and maintaining ML models that serve users reliably in production day after day.
- Creating architectures for the continuous gathering of new training data for ML models
- Building interfaces for delivering the results of ML models to end users
- Other software development-related tasks, such as debugging, designing, and participating in creating the architecture

You enjoy designing scalable machine learning architecture that processes vast quantities of data and delivers refined results to end users.

To thrive in this position, you'll need

- Hands-on experience in continuously developing and deploying machine learning models
- We don’t have a hard limit on years of experience, but we’ve noticed that these Machine Learning competencies often take 3+ years to accumulate
- Experience with common tools, libraries, and platforms in the field of machine learning
- A good grasp of common machine-learning techniques
- An understanding of infrastructure-as-code practices (e.g. Terraform, CloudFormation, CDK)
- Cloud development experience (AWS, Azure, GCP, etc.)
- A solid programming foundation (Python required, other languages are a plus, for example, Java, Javascript/Typescript, C++)
- Experience working on data with SQL
- You are a software engineer at heart and you don't leave a legacy behind
- Good communication skills and the ability to work with clients to figure out their data needs
- Fluency in both English and Finnish is preferable

Why join us?

For two decades, we’ve been developing qualities and capabilities for adapting, reacting, and supporting change – building Reaktor to hold up in a fast-paced environment while ensuring the well-being of our people.

While working at Reaktor, we’ll provide you with:

- The ability to impact how you work. Together with the client, your team chooses the approach, technologies, and methodologies you think will work best in any given situation
- A community with as much support as your heart desires
- A team that’s not only experienced but considerate as well – they all want you to succeed
- A sustainable work-life balance and support for your daily life outside of work. (e.g., free moving day, Reaktor car share, sick child care services, office space to use for your private events, etc.)
- An opportunity to grow as a professional. In addition to the day-to-day work, we offer internal training courses, community events, and 15-minute coffee breaks to discuss hot topics in tech and design
- A possibility to take part in more extended academy-like studies like Cloud Academy
- 300+ hobby clubs, from winter swimming and running to knitting and archery, that bring people together outside of (and sometimes inside) office hours. Many of these are supported by Reaktor
- Check more benefits & perks below

Diversity, equity, and inclusion

Together, we are committed to making Reaktor an environment that embraces and values all of our employees for the whole of who they are. We encourage applicants from all backgrounds to apply, knowing that studies show that members of underrepresented communities don’t apply for jobs unless they fully satisfy all of the requirements. If you're thinking twice about applying for this reason, we invite you to send us your application anyway. You could be just the person we're looking for.

Read more about our DEI work here https://www.reaktor.com/dei.

Interested? Drop us a line – We'll be happy to hear from you!

## About Reaktor

## Company Overview
- **One-liner**: Reaktor is a global technology company that designs and builds category-defining digital solutions across industries, from software development and strategic design to AI and data capabilities.
- **Entity Type**: Private (pre-IPO; planning a listing on Nasdaq Helsinki)
- **Headquarters**: Helsinki, Finland
- **Founded**: 2000
- **Founders**: Not publicly listed

## Core Business
- Primary industries: aerospace & defense, finance, healthcare, industrial, gaming, retail, public sector
- Target customers: large enterprises, government agencies, and high-stakes organizations (B2B, predominantly enterprise)
- Mission / purpose: Create category-defining products that perform when it matters most, driven by a “Culture of Better” – iterative improvement, autonomy, and deep domain expertise

## Products & Services
- **Custom Solutions**: Embedded engineering, design, and strategy teams that partner with clients on mission-critical technology challenges. 97% net revenue retention (2025) and DORA scores 7.5–16% above industry average.
- **Productized Solutions**: Ready-made software products built from 25 years of domain knowledge, already deployed in defense and security markets.
- **Reaktor Ecosystem**: A network of >45 independently operating technology companies that Reaktor invests in or co-founds, providing engineering credibility, domain expertise, and a two‑decade network.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private pre-IPO)
- **Key Metric**: Estimated annual revenue of ~€190 million (based on company‑stated figures; exact numbers not confirmed in public filings)
- **Notable Investors/Partners**: No external venture investors; partners include ABB, ZAP Surgical Systems, and others across industries.
- **Growth Signals**: Planning an IPO on Nasdaq Helsinki; headcount of 700+ professionals across 9 offices on 3 continents; 58 nationalities; expanding productized software and AI/Data offerings; strong retention and quality metrics.

## Competitive Advantages
- Deep industry specialization (aero, defense, finance, healthcare, etc.) rather than generalist consulting
- 25 years of Nordic‑rooted agile practices and a culture of autonomy and continuous learning
- Full lifecycle partnerships – from problem identification to design, development, and long‑term maintenance
- Productized approach that turns accumulated domain expertise into scalable, reusable software
- Ecosystem model that extends reach and innovation capacity beyond a single firm

## Strategic Focus
- Initial Public Offering on Nasdaq Helsinki to accelerate growth and increase market visibility
- Growth of productized software business, especially in defense & security and other high‑stakes verticals
- Deepening AI and data capabilities (e.g., LLM applications, AI developers) integrated into every client engagement
- Continued expansion of the Reaktor Ecosystem through co‑founding and investing in independent technology companies

## Why Work Here
- **Culture**: “Culture of Better” – people‑first, Nordic values of trust, autonomy, and continuous improvement. 58 nationalities in a global, collaborative environment.
- **Work Model**: Hybrid; team‑specific agreements on on‑site vs. remote work depending on client and project needs.
- **Perks**: Minimum 25 vacation days, top‑class health benefits (including mental health support and ergonomic solutions), professional growth programs (mentoring, internal academies, external courses/books budget), 200+ hobby clubs, relocation support, latest tech equipment.
- **Growth**: Six‑month onboarding, strong emphasis on learning and mastery; opportunities to work on challenging, high‑impact projects across industries.
- **Autonomy**: Cross‑functional teams have freedom to choose tools, methodologies, and tech stacks.

## Sources
1. [reaktor.com – About](https://www.reaktor.com/about-us)
2. [reaktor.com – Careers](https://www.reaktor.com/careers)
3. [reaktor.com – Culture](https://www.reaktor.com/culture)
4. [reaktor.com – All Open Positions](https://www.reaktor.com/careers/all-open-positions)

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