Skip to content

Senior Machine Learning Ops Engineer

    • Nis
  • Finance

Job description

You are:

An experienced MLOps Engineer who thrives on building the backbone of production-grade ML systems. You enjoy bridging the gap between model development and production, creating scalable infrastructure, and empowering ML teams to ship models with confidence. You’re comfortable working across cloud services, containerized environments, and CI/CD pipelines—and you understand the importance of reproducibility, monitoring, and automation.

You will:

  • Design and implement infrastructure for ML model training, testing, deployment, and monitoring.

  • Collaborate with ML engineers and data scientists to streamline model operationalization and CI/CD integration.

  • Manage containerized environments (Docker, Kubernetes/ECS) and model serving infrastructure.

  • Monitor production ML systems for performance degradation, data drift, and retraining needs.

  • Use tools like MLflow to track experiments, manage model versions, and support model governance.

  • Automate workflows using tools like Airflow, Step Functions, or similar orchestration platforms.

  • Contribute to IaC (e.g., Terraform or CloudFormation) to ensure reproducible infrastructure deployments.

Job requirements

  • A degree in computer science, engineering, or a related field.

  • 3–6+ years of experience in DevOps, Cloud Engineering, or MLOps roles supporting machine learning teams.

  • Proficiency in Python and experience with ML frameworks (e.g. Scikit-learn, PyTorch, TensorFlow).

  • Hands-on experience with AWS services like S3, SageMaker, Lambda, Redshift, and ECR.

  • Expertise with containerization and orchestration tools (Docker, ECS, Kubernetes).

  • Familiarity with ML lifecycle tooling such as MLflow, DVC, or SageMaker Pipelines.

  • Solid understanding of CI/CD pipelines, Git workflows, and infrastructure-as-code.

  • Strong collaboration skills and a mindset of continuous improvement.

  • Fluency in English.

Nice to have

  • Experience with real-time model serving and streaming pipelines.

  • Knowledge of observability frameworks (Prometheus, Grafana, etc.).

  • Familiarity with security and compliance practices for ML systems.

  • Interest in emerging areas such as ML governance or responsible AI.

Benefits

  • Private health insurance

  • Sick leave 100% paid

  • Canteen with free meals and drinks

  • Flexible working hours

  • Additional vacation days after two years in the company

We also provide up-to date equipment, entertainment facilities in a modern office right in the city center and more.

Note: Flexible working hours and occasional work from home options in Better Collective help us achieve proper work-life balance. We strongly believe in the magic of teamwork, though, so we come to the office at least three days a week to keep the team spirits high.

Application Deadline

We look forward to hearing from you and accept applications until 5th of July
Please submit your CV and cover letter in PDF; only applications submitted in English will be considered.

Expected start date: as soon as possible.

or

Hybrid
  • Nis, Serbia

Why join Better Collective?

At Better Collective, we pride ourselves on fostering a workplace where talent thrives and collaboration flourishes. We are committed to nurturing a learning environment where your growth is a priority. Imagine working alongside a dream team of talented individuals who not only bring their skills to the table but also complement each other. You’ll have ample opportunities to learn on the job from talented colleagues eager to share their knowledge, taking on responsibilities that challenge and inspire you.

Guided by our core values of respect, integrity, ambition, and collaboration, we strive to maintain an inclusive and safe space for all employees. Our culture is built on support and camaraderie. Here, you’ll find caring colleagues who unite over shared passions and ambitions, creating a supportive environment where everyone can succeed together. We believe in having fun while achieving great things, ensuring that work is both enjoyable and rewarding.

Read more



About Better Collective

We are a global sports media group headquartered in Copenhagen, thriving in a vibrant international environment with more than 1,600 talented professionals working in offices across four continents and representing over 30 nationalities. Our dedicated employees drive our ambition to conquer the sports media world and become the leading digital sports media group. We are home to renowned international and national sports media brands such as HLTV, Futbin, Action Network, VegasInsider, Bolavip, SvenskaFans, Tipsbladet, Betarades, and more. Our mission is to excite sports fans through engaging content and foster passionate communities worldwide.

For those who love sports, Better Collective offers the opportunity to work on something you are passionate about, making work both purposeful and enjoyable. Even for those not into sports, the strong sense of sportsmanship woven into our organization and core values creates a collaborative and fun environment.

Better Collective is dual-listed on Nasdaq Stockholm (BETCO) and Nasdaq Copenhagen (BETCO DKK). 

Read more



We are an equal opportunity employer

We strongly believe diversity gives us the edge and we are committed to creating a safe working environment where employees can thrive. By embracing our diverse perspectives and experiences, our teams collaborate to innovate and deliver superior sports content and products. We hire for cultural growth and welcome everyone, regardless of background,  ethnicity, age, religious and political beliefs, sexual orientation, gender identity, disability, and other characteristics.

BC logo fillHomepage