Machine Learning Engineer - Data, ML & Applied AI

Viaplay Group; Stockholms kommun; Hybrid; SEK 700,000 - 1,050,000; Full time

Benefits offered by this job

30 days vacation

Pension and insurance

Wellbeing allowance

Hybrid work model

Learning culture

Hack Days

Unlimited Viaplay access

Job summary

Viaplay Group in Stockholm is seeking a Machine Learning Engineer to design, train, and deploy ML models for recommendations, predictions, classification, and personalization. You will build scalable data pipelines in a modern cloud environment, collaborating with product, engineering, data science, content, and marketing teams to deliver production-ready AI solutions in a hybrid work setting.

The role emphasizes strong ML fundamentals, data quality, and thoughtful engineering to create reliable

Qualifications

• 3+ years of experience applying machine learning or data science in production.
• A solid understanding of data, statistics, and core ML algorithms - including how to select and evaluate the right approach.
• Experience taking ML projects from problem definition and experimentation through deployment and monitoring.
• Proficiency in Python and SQL, with experience using Spark or similar data-processing technologies.
• Experience building data pipelines and using orchestration tools such as Airflow.
• Practical experience with or strong curiosity about generative AI, AI agents, and AI-assisted engineering.
• The ability to review and validate AI-generated output rather than treating it as automatically correct.
• Clear communication skills and a collaborative, curious approach to problem-solving.

Responsibilities

• Design, train, evaluate, and deploy ML models for recommendations, predictions, classification, and personalization
• Build and maintain scalable data and ML pipelines in a modern cloud environment
• Use AI-assisted, spec-driven workflows to turn clear requirements into tested, production-ready solutions
• Build reusable AI skills, agents, and knowledge-based tools that support data, ML, and engineering teams
• Apply AI to improve existing systems, automate repetitive work, and reduce technical debt
• Collaborate with product, engineering, data science, content, commercial, and marketing teams
• Monitor models and pipelines to ensure they remain reliable, understandable, and effective.

Skills

Python

SQL

Spark

Airflow

Data pipelines

ML fundamentals

Collaboration

Communications

Tools

Spark

Airflow

CI/CD

Job description

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.

We’re looking for the best people to join us on our journey. Right now, we’re searching for a MachineLearning Engineer in our Stockholm office –are you ready to hit play on an exciting career change?

The Role

We're looking for a Machine Learning Engineer who wants to combine strong data and machine learning fundamentals with the opportunities created by modern AI.

At Viaplay, you'll help build the models and data products that shape how millions of people discover and experience entertainment. You'll work across the ML lifecycle from understanding data and selecting the right algorithms to building pipelines, deploying models, and monitoring them in production.

You’ll also help us develop more effective ways of working with AI. This includes using AI-assisted, spec-driven workflows and building reusable AI skills, agents, and knowledge-based solutions. The goal is practical impact: delivering faster, reducing technical debt, improving access to knowledge, and creating reliable systems that are easier to develop and maintain.

This role is ideal for someone who understands that AI can significantly improve how we work but that great solutions still depend on high-quality data, sound ML principles, critical thinking, and thoughtful engineering.

WhatYou’llDo

• Design, train, evaluate, and deploy ML models for recommendations, predictions, classification, and personalization
• Build and maintain scalable data and ML pipelines in a modern cloud environment
• Use AI-assisted, spec-driven workflows to turn clear requirements into tested, production-ready solutions
• Build reusable AI skills, agents, and knowledge-based tools that support data, ML, and engineering teams
• Apply AI to improve existing systems, automate repetitive work, and reduce technical debt
• Collaborate with product, engineering, data science, content, commercial, and marketing teams
• Monitor models and pipelines to ensure they remain reliable, understandable, and effective.

What We’re Looking For

We’reseeking someone whocombinestechnicaldepth withstrategic thinking and a curious, problem-solving mindset.

We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following:

• 3+ years of experience applying machine learning or data science in production
• A solid understanding of data, statistics, and core ML algorithms - including how to select and evaluate the right approach
• Experience taking ML projects from problem definition and experimentation through deployment and monitoring
• Proficiency in Python and SQL, with experience using Spark or similar data-processing technologies
• Experience building data pipelines and using orchestration tools such as Airflow
• Practical experience with or strong curiosity about generative AI, AI agents, and AI-assisted engineering
• The ability to review and validate AI-generated output rather than treating it as automatically correct
• Clear communication skills and a collaborative, curious approach to problem-solving

It’s a bonus if you have:

• Experiencewithrecommender systems, search, ranking, or personalization.
• Experience building AI agents, retrieval-augmented generation solutions, or internal knowledge tools
• Familiarity with A/B testing, causal inference, MLOps, CI/CD, and observability
• Experience in streaming, media, e-commerce, or another digital product environment

You don't need to meet every requirement to apply. We value different perspectives, a willingness to learn, and people who are excited to explore how strong ML foundations and modern AI can work together to create meaningful products.

What we offer you

• We’ve got you covered! 30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift.
• Your wellbeing matters. We provide you with various wellbeing initiatives including wellness allowance.
• Flexibility that works. We follow a hybrid model with at least three days a week in the office, giving you the best mix of collaboration and focus time.
• A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development.
• An innovative environment with Hack Days once a year. This week-long initiative allows you to think outside the box and deliver creative, technical solutions that (more often than not) go on to be implemented, either in our product or our ways of working.
• Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product –including serier & viewing events, new release movie rentals, linear channels and more.

Want to learn more about who we are and what we do? Check out our careers page or follow us on Instagram! We’re only ever a few clicks away.