Contact: [email protected]
Company Description
Join a Thrilling Journey in AI and Innovation, revolutionizing the way AI and Machine Learning transform industries. As a tech-driven AI startup, it is at the forefront of cutting-edge technology, leveraging Machine Learning, Generative AI, and real-time data analysis to create impactful solutions. If you’re passionate about innovation and thrive on ambitious goals, you’ll feel right at home here.
Why Join Us?
We believe that small teams achieve big things. The philosophy is simple: empowered individuals create extraordinary outcomes. We are assembling a world-class AI and Engineering team where every contributor has the opportunity to leave a profound impact. Here, your ideas won’t just be heard—they’ll be implemented. Our culture is fast-paced and dynamic. We encourage bold thinking and thrive on innovation. The best ideas win, and we aren’t afraid to push boundaries to drive meaningful change. If you want to work on exciting, high-impact
Role Description
This is a full-time role for a ML Engineer in EU/UK (preference if you are located near Gibraltar). The ML Engineer will be responsible for tasks such as pattern recognition, working with neural networks, applying statistical analysis, and implementing algorithms in various projects. You will be working directly with the CTO.
How you will make 10X Impact:
- Own the end-to-end ML infrastructure, from initial architecture decisions to production deployment, setting the technical standards for our growing team.
- Take the lead in bridging research and production, turning innovative ML concepts into scalable, production-ready systems that process billions of real-time data points.
- Design and implement robust ML pipelines that can handle our rapidly growing data volume while maintaining exceptional performance.
- Build and optimize core model components with a focus on real-world impact, directly contributing to our mission of transforming gaming experiences.
- Drives incremental improvements (across quality, ease of (re)use, performance) within the data, from PoC to production-grade systems that can scale reliably.
- Establish best practices for code quality, testing, and documentation that will shape our engineering culture .
- Create and maintain scalable data pipelines and APIs that can handle increasing complexity while maintaining reliability.
- Works as part of a multi-disciplinary team, composed of data scientists, front-end and back-end engineers, product managers, and analysts.
As an early team member, you’ll have a unique opportunity to influence our technical direction and growth. Some travel may be required as we build our distributed team.
Skills and Experience:
Required:
- Strong track record of building and deploying ML systems in production, with hands-on experience in real-time, high-throughput environments.
- Strong foundation in applied ML frameworks and data science tools and libraries.
- Deep expertise in Python, with a focus on ML engineering best practices and production-grade code architecture.
- Experience with modern cloud platforms (AWS/GCP/Azure) and MLOps practices, including containerization and CI/CD for ML workflows.
- Practical exposure to modern cloud data platforms, with direct experience delivering data centric solutions for mission critical use cases; as well as driving innovation PoV style delivery and associated engineering/design principles.
- Experience in distributed microservice architecture and REST API development. Hands-on experience with streaming architectures and real-time processing systems.
- Track record of making architectural decisions that balance innovation with reliability.
- Demonstrated ability to work independently and drive technical initiatives from concept to production.
- Evidence of motivation to learn, and curiosity around modern approaches to ML engineering. Ability to discuss and debate relative merits and opportunities.
Desired:
- Experience with LLMs and modern NLP techniques. Building and optimizing RAG systems, working with embedding models and vector stores.
- Background in scaling ML systems from prototype to production.
- Previous experience in a fast paced startup environment.
- Understanding of ML monitoring and observability best practices.
Benefits
Salaries ranging from €80k-€120k
Share scheme can be negotiated
Interested? Contact [email protected]