scikit-learn Jobs in Finland.
All active scikit-learn roles based in Finland.
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AI/ML Specialist Solutions Architect
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.
You’re welcome to work on-site in Amsterdam or remotely from any other EU country.
Your responsibilities will include:
- Designing customer-centric solutions that maximize business value and align with strategic goals.
- Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
- Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
- Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.
We expect you to have:
- 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
- Strong understanding of ML ecosystems, including models, use cases and tooling.
- Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
- Hands-on knowledge of frameworks like PyTorch or JAX.
- Excellent verbal and written communication skills.
It will be an added bonus if you have:
- Expertise in deploying inference infrastructure for production workloads.
- Ability to transition ML pipelines from POC to scalable production systems.
Preferred tooling:
- Programming Languages – Python, Go, Java, C++
- Orchestration – Kubernetes (K8s), Slurm
- DevOps Tools – Git, Docker, Helm
- Infrastructure as Code (IaC) – Terraform
- ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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Senior Data Scientist
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We are looking for a Senior Data Scientist to join our Product Engineering team in Helsinki, Dublin, or the UK.
If you are a naturally curious problem-solver who thrives on discovering innovative ways to extract value from data, this is your chance to lead high-impact initiatives for a fast-growing SaaS powerhouse
In this role, you will…
- Solving the "Unsolvable": Dive into massive datasets to architect and implement robust, data-driven solutions that solve high-stakes business problems for our customers.
- Product-Embedded Innovation: Focus on building and embedding insights directly into the Supermetrics product suite, moving beyond theory into live, functional features.
- The Scale-Up Mindset: Thrive in a high-velocity environment where you are expected to pioneer new solutions, remain creative, and lead with a relentless "product-first" focus.
- Fueling the AI Engine: Leverage Supermetrics’ one-of-a-kind dataset to build market-differentiated products. If data is the fuel for AI, you’ll be sitting on one of the best "refineries" in the industry.
- High-Leverage Impact: Utilize our unique data access to create solutions that simply can’t be built anywhere else, giving you the platform to make a massive, visible impact on the industry
Your day-to-day work and responsibilities include…
- Identify opportunities to use advanced data science techniques leveraging a wide variety of MarTech data to solve problems and provide new insights to our customers.
- Develop and deploy AI/ML solutions, creating new products and value for our customers.
- Transform data science prototypes into scalable, production-ready, data-driven products in partnership with our infrastructure/engineering teams.
- Embed AI-powered features and automation tools in data science applications to improve velocity, product quality and customer experience as needed.
- Communicate the impact and outcomes of data science initiatives to stakeholders across the organization.
- Stay current with AI/ML advancements and continually seek for new ideas or paradigms that will add value to our customers.
This position is for you if you have…
- An advanced degree in a STEM-related field such as Mathematics, Statistics, Computer Science, Engineering, or a related field, or equivalent work experience.
- 5+ years of experience in Data Science or ML and AI with real-world data within a product development and/or research setting.
- Expertise in statistical analysis, ML modeling, experimentation, and optimization.
- Hands-on experience working with LLMs and AI agents, including fine-tuning, retrieval-augmented generation (RAG), and deploying models to enhance product features.
- A proactive mindset, a continual pursuit of new ideas and data sources, and the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.
- Proficiency in Python and SQL, with experience using libraries such as Pandas, NumPy, Scikit-learn, and deep learning frameworks like TensorFlow or PyTorch.
- Experience working with Agent frameworks (e.g. google adk, LangChain) and AI agent evaluation
- Expert-level experience building and deploying data science products using cloud platforms (e.g., AWS, GCP) and MLOps tools.
- Strong project management experience and ability to work with a diverse, distributed, and talented group of people.
- Excellent written and verbal communication skills to explain technical concepts to non-technical stakeholders.
- Domain knowledge of large-scale, data-driven SaaS applications.
We also appreciate…
- Experience with MarTech advanced analytics techniques and use cases (i.e. propensity modelling, Media Mix Modelling, personalisation/customer segmentation).
- Experience in the end-to-end development of AI products.
Benefits we offer…
- Competitive compensation package, including equity
- Great work equipment, and home office allowance for those working in our fully remote locations
- Health care benefit and leisure time insurance
- Annual 1000 euros of personal learning budget
- Sports and wellbeing allowance
Benefits may vary depending on location.
Hear why our team likes it here at supermetrics.com/careers/life-at-supermetrics.
Get to know our Engineering team at supermetrics.com/careers/engineering
#LI-Remote / #LI-Hybrid #LI-FullTime
Join us on our mission to make data a marketing superpower
Supermetrics builds an end-to-end marketing intelligence platform, with 15% of global advertising spend reported through our products.
We help marketers turn their data into insights that improve business results and predict the best next step. Our technology streamlines marketing data for over 200,000 businesses through a network of agencies and customers like Shopify, HubSpot, and Nestlé. Since our founding in 2013, we’ve grown from a one-person shop to a key player in the industry—and we’re just getting started!
We're a team of 400+ growth-minded people from diverse backgrounds. Together, we make a multicultural, resourceful, and collaborative team.
Supermetrics operates on trust, transparency, and a keen customer focus. Forward-looking and action-oriented, we work hard to raise the bar in our industry. As team players, we help each other and win together.
We're hiring for a diverse, skilled, and collaborative team and building an inclusive workplace where everyone is treated fairly and respectfully.
Supermetrics is committed to providing a welcoming and inclusive workplace for all. We believe that a diverse workforce is a strong workforce, and we are dedicated to creating an environment where everyone feels valued and respected.
It all started with a Google t-shirt... Read the rest of our growth story at supermetrics.com/about.
Ready to apply?
Apply to Supermetrics