1,672,019open jobs
100,260companies
257,325added this week
Browse all
Salary
≈ $64k – $164k per year (Estimated)
Location
Hybrid (Helsinki, Finland)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Jan 20, 2026.

Overview
Company
Impact
Profile match
Futurice is a Finnish technology consultancy founded in 2000 and headquartered in Helsinki. It designs and builds digital products for large European organisations. The company is known for its transparent culture and open source work.

Join us!

We’re always happy to hear from people who are eager to learn and grow, and share our values. Read more about the role and apply.

About the role

We are looking for a Senior AI Engineer to join our growing team of data and AI professionals. In this role, you'll help our clients solve real-world problems by designing and building AI-powered solutions that drive meaningful outcomes. You’ll work hands-on with machine learning, generative AI and cloud platforms-developing impactful applications across industries like energy, manufacturing, retail, health, mobility and more.

To get a sense of our work, explore our Neste AI assistant project and ourexperiment-driven approach to AI delivery. We work across a wide range of challenges, and no two projects look the same. To get a feel for the breadth of what we do, take a look at our Service Lines.

At Futurice, AI is not just about models. It’s about concrete business value. You'll be involved in projects from early exploration and experimentation to scalable, production-grade deployment-bridging the gap between business, technology, and people.

As a senior team member, you'll also mentor others, contribute to our AI strategy and practices, and play a key role in shaping how we work with AI in a responsible and ethical way.

What you'll do:

  • Train, fine-tune or adapt AI models for specific use cases, including scenarios that call for offline, on-device or edge deployment

  • Design, develop and deploy production-grade AI and machine learning solutions, including generative AI applications (leveraging LLMs and multimodal foundation models)

  • Collaborate in cross-functional teams with designers, developers, and domain experts

  • Contribute to client workshops and technical discovery sessions

  • Build, deploy and operate reliable production pipelines for AI solutions, software engineering practices based on the context

  • Leverage cloud platforms such as Azure, AWS, or GCP

  • Continuously improve how we use and implement AI in a sustainable and ethical way

  • Mentor junior engineers and share best practices and learnings within the team

What we hope you bring:

  • 5+ years of hands-on experience in AI, ML engineering or applied data-intensive systems, including taking solutions from idea to production

  • A relevant university degree (masters in technology, mathematics or computer science)

  • Experience with model training/fine-tuning workflows (e.g. fine-tuning foundation models or training custom models for a specific task); familiarity with optimizing models for offline or edge environments (quantization, distillation, or runtimes like ONNX/TensorRT/Core ML)

  • Strong Python skills, with experience building maintainable, production-quality code and working with APIs, data processing and backend-style systems

  • Experience with modern data, ML and GenAI libraries and tools, such as NumPy, Pandas, Hugging Face, PyTorch, TensorFlow or similar (Deep expertise in any single framework is not required but we value the ability to apply the right tools pragmatically)

  • Understanding of agentic LLM architectures and patterns, including concepts like tool use, orchestration, evaluation and iterative reasoning (Experience with frameworks such as LangChain, LangGraph, OpenAI Agents SDK or similar is a plus, but not a requirement)

  • Understanding of data engineering pipelines and APIs

  • Experience deploying AI or ML solutions into production environments, including considerations around reliability, monitoring, iteration and lifecycle management

  • Experience working with at least one major cloud platform (Azure, AWS or GCP)

  • A curiosity-driven approach and a desire to stay current with AI trends and practices

  • Fluent professional English; Finnish skills are a strong advantage, combined with strong communication skills, a collaborative mindset, and confidence working directly with clients

We don’t expect you to tick every box. If you feel you’d grow into this role and bring complementary strengths, we’d love to hear from you.

Futurice offers you

We support your growth with a wide range of projects, tools, and learning opportunities. Our client portfolio is diverse, offering a variety of challenges and problem spaces that give you room to explore new areas and develop your skills in meaningful ways. You’ll be encouraged and inspired throughout your journey by a community of motivated, multidisciplinary colleagues across development, design, data, AI and strategy.

Perks include: 

  • A hybrid work model that supports flexibility and collaboration

  • Free choice of work gear - laptop, phone, tablet, headphones, and more

  • Sports and lunch benefit

  • Comprehensive healthcare and additional health insurance

  • Futurice clubs and free-time activity groups

  • Learning events and internal communities

  • Certification programs to support your continued development

You’ll get a thorough local and global onboarding, plus your very own Futubuddy to support you throughout your journey with us. And to top it off, you’ll have the chance to join our Onboarding Camp.

Compensation

Your complete compensation package will be discussed in detail during the recruitment process. Our salary model is designed to offer a range of levels based on three factors: skills, responsibilities and impact. We are dedicated to fostering an inclusive and supportive work environment where every employee has the opportunity to thrive and advance in their career and become better versions of themselves.

During the initial interview round, we will discuss the salary range for this position. We offer a fixed salary with the possibility of performance-based bonuses and additional benefits.

Next steps

If this sounds like the opportunity you’re looking for, please submit your application.

Our form is simple: share your contact details and upload your attachments. We’d love to see your CV and a few lines about yourself and why you want to join Futurice. You can also include links to your LinkedIn or any other materials you find relevant.

After we receive your application, we’ll be in touch. If you move forward, the process includes:

  • First conversation (60 min, Google Meet)

    You will meet two Futurice team members, get to know them, and have the opportunity to introduce yourself while learning more about Futurice, the role, and our ways of working.

  • Skills-based interview (90 min, Live)

    A deep dive into your skills with two of our data consultants. We’ll review your problem-solving approach and skills.

  • Role, expectations & projects interview (60 min, Live or Google Meet)

    A conversation focusing on your potential role, expectations, and upcoming projects. This interview is typically with your potential supervisor and a Principal-level team member.

Reference calls are also a standard part of our recruitment process.

What it’s like to work here

Ever since Futurice was founded, we’ve focused on creating a workplace people genuinely enjoy, Mondays included. We’ve built a welcoming culture where trust, kindness, and well-being matter as much as great work. Our atmosphere is open and warm, whether you’re in the office or working remotely. You’ll quickly feel part of the community where coffee chats, virtual fikas, or after-work hangouts happen naturally.

Because our culture is shaped by all of us, every day, you’ll have an opportunity to influence how we work, connect, and evolve as a community. Across countries, teams, and time zones, everyone brings their own character, helping shape how we work, connect, and evolve together.

At Futurice, new joiners aren’t expected to fit into a mold. Come as you are, whatever your background. We believe in the power of different perspectives, and diversity is a key part of our success at delivering customer value when they trust us with some of their most challenging and inspiring challenges. You can read more about our DE&I commitment here.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,672,019 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Helsinki
≈ $100k – $257k per year (Estimated) • In office • 5+ years exp • Master's Degree • Jerusalem
AI/ML
Multimodal AI
World Models
Physical AI
Machine Learning
Apply
$210k per year • In office • Full-Time • 5+ years exp • New York
Python
TypeScript
AI/ML
Multimodal AI
Machine Learning
DevOps
CI/CD
Apply
≈ $11k – $28k per year (Estimated) • In office • Full-Time • Noida
Python
Databases
PostgreSQL
pgvector
OpenSearch
AI/ML
LangGraph
LangChain
Embeddings
Prompt Engineering
AI Agents
AWS Bedrock
LLM
RAG
DevOps
Rest API
CI/CD
AWS
Docker
Kubernetes
Amazon EKS
AWS Lambda
Amazon S3
Amazon ECS
Apply
up to $8.8k per year (gross) • In office • Full-Time • Kuala Lumpur
Python
AI/ML
LangGraph
LangChain
vLLM
Embeddings
Prompt Engineering
Function Calling
Computer Vision
AI Agents
LLM
RAG
LLM Guardrails
Multi-Agent Systems
Tool Use
Machine Learning
DevOps
Git
Docker
GitHub
Apply
≈ $136k – $298k per year (Estimated) • In office • TS/SCI • Herndon
Python
Java
SQL
Scala
Databases
MySQL
PostgreSQL
Oracle
AI/ML
Hadoop
DevOps
AWS
Analytics
Tableau
ETL/ELT
Management
SharePoint
Agile
Apply
≈ $101k – $245k per year (Estimated) • Hybrid • 7+ years exp • Dublin • Helsinki
Python
AI/ML
Claude
ChatGPT
AI Agents
OpenAI
Human-in-the-Loop
LLM Guardrails
DevOps
Rest API
IAM
Cybersecurity
SOC 2
Zero Trust
Management
n8n
Apply
≈ $48k – $123k per year (Estimated) • Remote (Finland) • Helsinki • Dublin
SQL
Databases
Google BigQuery
BigQuery
AI/ML
Claude
ChatGPT
Vertex AI
AI Agents
Gemini
LLM
LLM Guardrails
Vertex AI Agent Builder
DevOps
Rest API
GCP
Kubernetes
Google GKE
Google Cloud Run
Apply
≈ $50k – $130k per year (Estimated) • In office • Full-Time • Helsinki
Python
TypeScript
Databases
Databricks
AI/ML
LangGraph
LangChain
LLM
RAG
Copilot Studio
Machine Learning
DevOps
Azure DevOps
GitHub Actions
Azure
Apply
≈ $54k – $124k per year (Estimated) • In office • Full-Time • Helsinki
Apply
In office • Full-Time • Brussels • Helsinki
Apply
See all jobs
This is one of many
1,672,019 more open roles from verified company boards, updated every day.