Machine Learning Engineer

About Us

RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Our mission is to provide transparency on business conduct risks to drive positive change. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisk’s solutions bring performance and peace of mind, enabling clients to know more, be sure, and act faster. With our values of intellectual honesty and humility, operational excellence, and openness and respect, our diverse teams of talented experts are pioneering solutions that enable clients to make better informed decisions. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive and meaningful change through transparency.

We Offer

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.

Job Description

About You

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.

Your Responsibilities

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

Qualifications

You Offer

• 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

Additional Information

Please note that we will only consider candidates with a valid work permit