Would you like to...

…a challenging and varied job at a successful, innovative company?

…to have managers who have your back and keep an open door?

…to have great, supportive colleagues around the world with genuine team spirit?

…to work in a company that has your back and invests in your growth so you can reach your full potential?

Then you've come to the right place!

Join our team and let's really get started together!

About us

Your partner in the iGaming industry

Vyking was founded in 2018 by a team of experienced iGaming experts with a mission to revolutionize the iGaming industry through its unique connector technology. This has grown into a strong international team operating worldwide, united by a passion for state-of-the-art solutions for the iGaming sector.

As an interface and knowledge hub between content providers and iGaming operators, Vyking offers a modular, API-driven middleware platform, complemented by additional solutions such as a Bonus Engine, Payment Hub, and Content Hub.

Are you ready for new challenges and want to become part of our motivated and dedicated team? Then apply now in less than 60 seconds with just a few clicks!

Requirements & Tasks

What You’ll Do:

Design, train & ship ML models (classification, regression, recs)
Predict churn, LTV & engagement at player level
Build & refine recommenders (collab filtering + hybrid)
Integrate & tune third-party LLM APIs (OpenAI, DeepSeek, etc.)
Work with large-scale data; engineer high-impact features
Partner with Data Eng/Product/Marketing on scalable pipelines
Turn insights into clear, actionable stories for stakeholders

As you can see, this is a very exciting, challenging, and varied position in our company.

What We’re Looking For:

3+ years in ML Engineering/Data Science
Strong in Python + SQL
Proven in supervised learning & recommender systems
Hands-on with LLMs & third-party API integrations
End-to-end ML lifecycle (concept → production)
Excellent problem-solving, communication & collaboration

Nice-to-Haves:

Experience with TensorFlow, PyTorch, or Hugging Face
Knowledge of A/B testing + big-data tools or cloud ML platforms
Deployed or fine-tuned LLMs in local/hybrid environments

Click through our questions and let's find out if we're a good fit for each other!

Advantages & Benefits

Why You’ll Love Working Here:

Team Spirit

We stick together and move forward as one. We’re very proud of our truly great team spirit.

Challenges

You’ll find an exciting, challenging, and highly dynamic work environment.

Flexibility

Personal freedom matters to us. Flexible working hours and remote work are standard here.

Personal Growth

We nurture the talents, skills, and competencies of our people through training initiatives. With us, you can grow both professionally and personally.

Compensation

We offer excellent compensation because we value your contribution.

Team Events

We actively strengthen our team cohesion and know how important it is to have fun together outside of work. Our team events are already legendary.

Global Mindset

We play on a global stage, not only at home.

Would you like to shape the future with us? Then don't hesitate and get started with your application now. Become a valuable part of our team!

We look forward to receiving your application.

Become a VYKING and join our international and highly motivated team as:

Machine Learning Engineer / Data Scientist

Business Intelligence Unit m/f/d

Full-Time

Position is based on self-employment

Compensation (salary/hourly rate) will be discussed individually during the interview.

asap

Remote

Get started right away and quickly click through our application quiz.

In less than 60 seconds!

No resume required!

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For reasons of readability, this website refrains from using gender-specific formulations throughout. Insofar as personal designations are only given in the masculine form, they refer to men, women and diversity in the same way. However, this is in no way intended to express gender discrimination or a violation of the principle of equality.

How far do you run ML projects end to end?

E2E incl. deployment & monitoring

E2E, but without production deployment/monitoring

POCs/prototypes

Academic projects

No experience

Other

Which ML use cases have you shipped to production?

Multiple selections possible

Classification (e.g., churn)

Regression (e.g., LTV)

Recommender – Collaborative Filtering

Recommender – Hybrid (CF + content)

Engagement/next-best-action

Feature engineering (with leakage control)

No experience

Other

Which languages/libraries do you use confidently?

Multiple selections possible

What have you built with LLMs/GenAI?

Multiple selections possible

OpenAI API integrated in production

DeepSeek API integrated in production

LLM features end-to-end (backend/production)

Fine-tuning/SFT or RAG

Local/hybrid deployment

Prompting/POC only (no production)

No experience

Other

Which data platform & MLOps skills do you have?

Multiple selections possible

AWS (e.g., SageMaker)

GCP (e.g., Vertex AI)

Azure (e.g., Azure ML)

Spark (batch/streaming)

CI/CD for models

No experience

Other

How do you work with product/stakeholders?

Multiple selections possible

A/B tests designed & evaluated

Close collaboration with Product

Collaboration with Marketing/Growth

Insights clearly communicated to non-technical stakeholders

Experience in BI/Analytics teams

Remote-first, international

No experience

Other

On what basis could we work together?

B2B / self-employed

Open to self-employment

Permanent employment

When could you start?

Immediately

In 1 month

In 1–3 months

Not sure yet

Would you like to tell us anything else?

Great!

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Availability by phone

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Your data is safe with us! Only we and our partner company involved in the administrative and technical implementation of the recruitment process (Clickmasters® - Pronovum Betriebs GmbH) have access to your data and use it solely for the purpose of processing your application and contacting you. We will not pass on your data to third parties without your prior consent, nor will we use interfaces or applications that would enable such data transfer.

You can find all information on data protection in our completely transparent privacy policy.

We're sorry, but unfortunately it didn't work out this time.

Unfortunately, you do not meet the requirements that are very important to us.

Each position has its own requirements and tasks. Please do not hesitate to apply again if you are interested in one of our open positions in the future. It didn't work out today, but maybe next time.

We thank you for your interest and wish you continued success and all the best!

Thank you for your interest, your time, and your application!

We have received your application and will contact you shortly by phone or email.

We look forward to getting to know you better.