Company ¿Está pensando en solicitar este empleo? Join a fast-growing B2B technology company developing an AI-powered platform used by large enterprise customers. The product combines complex business data, machine learning, large language models, and AI agents to help organisations make faster, more informed decisions.

The business has established teams across Europe and the United States and is continuing to invest heavily in its AI and research capabilities. Its technology is already used in complex enterprise environments, with research teams working closely with engineering and product to turn advances in AI into measurable improvements for customers. As an AI Research Engineer, you will join a small, highly technical research team working on advanced AI projects that directly shape the product.

You will combine rigorous research with practical engineering, focusing on large language models, AI agents, model fine-tuning, and wider machine learning systems. Design and run reproducible experiments involving large language models, AI agents, fine-tuning, and other machine learning systems. Develop clean, modular, well-documented code and robust end-to-end research pipelines.

Define research priorities based on their potential product and business impact. Turn research findings into practical improvements for data science, machine learning engineering, and product teams. Use MLOps and containerization practices to support reliable deployment into production.

Mentor colleagues, delegate work effectively,



and help engineering teams adopt valuable research advances. Build relationships with universities and support the publication of high-quality research at leading AI conferences. Deep understanding of machine learning fundamentals, including classical machine learning, deep learning, model training, and model failure modes.

Extensive, advanced experience with Python and SQL. Strong software engineering skills, including modular design, documentation, version control, and reproducible code and data pipelines.

Experience taking machine learning solutions into production using Docker or similar container technologies. Advanced understanding of MLOps and end-to-end machine learning pipelines.

Experience mentoring team members and providing technical or research leadership. PhD in a relevant technical field. Previous experience in an academic or industrial AI research laboratory. Published research in leading AI or machine learning conferences or journals.

Experience developing university or academic research partnerships. Opportunity to work on advanced AI research with a direct route into a real enterprise product. High levels of autonomy and end-to-end ownership of strategically important projects. Scope to influence research direction, product development, and engineering practices. Support to publish novel, high-quality findings at leading AI conferences. Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

📌 AI Research Engineer | Enterprise AI | Hybrid (Sallent)
🏢 Twentyai
📍 Sallent