Machine Learning Engineer
Role details
Job location
Tech stack
Job description
As our new Machine Learning Engineer, you will play a key role in developing state-of-the-art Machine Learning applications within RepRisk's Entities team. You will contribute to the design, implementation and operation of Machine Learning products as part of our global Data division. Moreover, you will:
- Design and implement new ML features that deliver measurable business value
- Build and optimize multifaceted search engines that aggregate and search data across multiple sources (meta-search)
- Develop, integrate, and maintain microservices within larger applications
- Apply the latest advancements in ML, including Large Language Models (LLMs)
- Train, evaluate, and optimize models for performance, scalability and reliability in production environments
- Collaborate closely with other ML engineers, backend engineers and product owners to continuously improve the products
- Contribute to a well-balanced tech stack, prioritizing both simplicity, maintanibility and efficiency
- Ensure clean, high-quality code through thorough code reviews and engineering best practices
- Actively participate in Agile/Scrum processes, contributing insights and feedback
Requirements
Are you looking for an opportunity to work on meaningful, cutting-edge projects in machine learning? Did you wonder what it would be like to work at a company where your contribution has a real, measurable impact - and you are rewarded for it?
If you have a knack for data and aspire to contribute to ethical tech development, then this is the perfect role for you! We value autonomy, allowing you to bring your innovative ideas to fruition in an inclusive, feedback-oriented environment. Your work on NLP will directly contribute to advancing corporate responsibility through technology., * Master's degree (preferred) in Computer Science, Engineering, Statistics, or a related STEM field
- 3+ years of hands-on experience as an ML Engineer in a production environment
- Expert-level Python skills and solid proficiency in SQL
- Proven experience developing and deploying NLP models, information retrieval systems, and search engines
- Hands-on experience integrating AI and LLMs into ML pipelines
- Strong foundation in software engineering best practices, with a focus on clean, maintainable and scalable code
- Experience working with cloud platforms, CI/CD workflows, and containerized environments
- Proactive mindset with the ability to take ownership and drive solutions forward
- Strong analytical thinking, structured problem-solving, and highly efficient execution
- Excellent communication skills and fluency in English
Additionally, the following are a plus:
- Experience in low-code languages like C++ or Java
- Experience working with AWS, particularly SageMaker
- Prior experience fine-tuning or training LLMs
- Practical experience building and managing data pipelines
Benefits & conditions
We offer a diverse, multicultural, and mission-driven workplace where your impact truly matters. You'll join a collaborative team that values openness, respect, and work-life balance.
What you can expect:
- Flexible working hours and a hybrid model (with home office days).
- Up to 4 weeks per year working abroad, subject to policy and approvals.
- Paid training and volunteering days, plus charity donation matching.
- Health & fitness subsidy to support your well-being.
- Frequent team and social events that bring our global community together.
- A welcoming office environment with complimentary coffee, refreshments, fresh fruit, and healthy snacks.
- A company that embraces diversity and values different perspectives.
