Senior Machine Learning Engineer - Strategic Delivery Lead (Oslo) 🇳🇴
Modulai is hiring a Senior Machine Learning Engineer - Strategic Delivery Lead (Oslo) 🇳🇴 (Norway). Level rates it ; you can apply on Level.
AI in this role
About Modulai
Modulai is an opinionated, no-bullshit AI partner. We turn AI into real business impact. No fluff, just results. We're a leading Nordic AI/ML consultancy with deep expertise in Generative AI, Machine Learning, MLOps, LLMOps and Agentic AI. We work with global enterprises and startups across industries, from banking and healthcare to media and manufacturing.
Ranked as one of the fastest growing AI Consultancies in Sweden, Modulai is now joining Analysys Mason - the leading specialist consultancy, creating lasting value in technology-intensive industries. Which has a strong presence in Oslo and ongoing engagements across Norway. Together we're establishing a Modulai hub in Oslo, and we're looking for the person to shape and lead it.
The role
This is a key strategic hire. Together with the Swedish team, you'll establish Modulai in Norway as our senior technical lead on the ground in Oslo, building client relationships and our reputation in the Norwegian market.
The Oslo hub works as one team with our engineering teams in Göteborg and Stockholm. You'll own client relationships and technical direction locally, and you'll lead delivery teams across all three cities. You'll also work closely with Analysys Mason colleagues, combining their client relationships and industry expertise with Modulai's AI capabilities to create and deliver joint opportunities.
You're a senior ML engineer who is as comfortable in a boardroom as in a codebase. You'll lead projects from the first client conversation through to production. You'll mentor and inspire the team, and you'll explain your reasoning clearly to engineers, clients and decision-makers alike.
What you'll do
Establish Modulai's presence in Norway by building the client base, network and reputation from Oslo
Collaborate with Analysys Mason to identify joint opportunities and deliver integrated AI engagements
Bridge Oslo, Stockholm and Göteborg by leading cross-office delivery teams
Act as a trusted technical advisor to senior stakeholders, from idea to execution
Shape new opportunities and support pre-sales, scoping and workshops
Lead end-to-end ML development, from data and feature engineering to models, validation and infrastructure
Mentor the team in state-of-the-art applied ML
Represent Modulai at industry events and forums in Norway
What we're looking for
MSc or PhD in a quantitative field
5+ years leading end-to-end ML projects, including ML infrastructure and deployment
Strong software development skills and a broad understanding of ML algorithms and frameworks
Client-facing or commercial experience, e.g. consulting, pre-sales, product ownership or advisory work
The ability to discuss AI's business value convincingly with decision-makers
An entrepreneurial mindset and experience leading teams across locations
Excellent communication skills, in person, on stage and in writing
A passion for lean, clean and maintainable code
Fluent in English and Norwegian (or another Scandinavian language)
Nice to have
A professional network in the Norwegian tech or business community
Experience establishing a new market or client base
Hands-on experience with GenAI (LLMs, multi-modal and vision models)
Deep learning, DevOps, CI/CD and Kubernetes experience
Our stack: Python, scikit-learn and specialized ML libraries, GCP/AWS/Azure, relational databases and Apache Spark.
Why join Modulai?
Take a key role in establishing Modulai in Norway, with real influence over the Oslo hub
Combine Modulai's AI expertise with Analysys Mason's reach and industry depth
Be part of one connected Nordic team across Oslo, Stockholm and Göteborg
A culture built on trust, collaboration and pragmatic innovation
Details: Based in Oslo, with flexible hours and regular travel to Stockholm and Göteborg. You must be eligible to work in Norway; we don't offer visa sponsorship.
Interested? Apply today and let's build the future of AI together.
How we rate this
Senior Machine Learning Engineer - Strategic Delivery Lead (Oslo) 🇳🇴 at Modulai rates 82 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $200k
This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used scikit-learn in your day-to-day work.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: ML Ops and scikit-learn. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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