Applied Machine Learning Engineer
Location: Remote in Europe
About the company
We’re transforming how global leaders access insights. In an era of information overload, our AI-driven platform delivers real-time, actionable intelligence, helping business leaders, broadcasters, and executives make better decisions, faster.
Weʼre looking for a pragmatic Machine Learning Engineer, someone who goes beyond experimentation to build, deploy, and optimize ML solutions in production. If youʼre passionate about LLMs, NLP, and AI-driven insights, and know how to turn cutting-edge research into real-world applications, we should talk.
What You’ll Do
Youʼll be at the core of our AI intelligence engine, designing and implementing ML solutions that actually ship. Your work will directly impact high-stakes decision-making across industries.
- Deploy ML in Production – Train, optimize, and deploy machine learning models that power real-time insights.
- Optimize Data Pipelines – Build and refine scalable data ingestion pipelines for structured and unstructured data, including financial, sports, and market intelligence sources.
- Leverage LLMs & NLP – Apply state-of-the-art language models GPT Mistral, Claude) to extract and structure insights from complex text sources.
- Experiment, But Deliver – Stay ahead of the latest ML advancements, but always with a focus on shipping practical, scalable solutions.
- Think Beyond Standard Approaches – Test different techniques to improve accuracy, efficiency, and performance.
- Collaborate Across Teams – Work with product, engineering, and business stakeholders to seamlessly integrate AI into our platform.
Who You Are
Product-Minded ML Engineer – You care about impact, not just research.
You know how to take ML models from concept to production and ensure they perform in real-world scenarios.
Hands-on Builder – Strong coding skills in Python, with experience in ML frameworks (PyTorch, TensorFlow, Scikit-learn) and MLOps best practices.
Scales AI Solutions – Comfortable working with large datasets, ETL pipelines, and cloud infrastructure (AWS, GCP, or similar).
LLM & NLP Expertise – Experience working with modern LLMs, fine-tuning techniques, and prompt engineering to extract meaningful insights.
Thinker & Doer Mentality – You thrive in uncertainty, quickly learning new technologies and adjusting to evolving AI trends. You conceptualize AI solutions and bring them to life.
Problem Solver – You test, iterate, and refine ML models to maximize real-world impact—not just theoretical performance
Why work for us?
Work on Real-World AI Applications – Build AI that directly impacts global decision-makers.
Be Part of a High-Impact Team – We move fast, prioritize meaningful work, and iterate quickly.
Grow with a Fast-Scaling Startup – Your contributions will help shape the future of AI-powered insights.
If youʼre excited about applying AI to solve real business challenges, without getting lost in theoretical experiments, weʼd love to hear from you. 🚀