Senior AI Research Engineer focusing on practical applications of AI technologies for industrial intelligence. Involves building and operationalising AI models in a hybrid work environment.
Responsibilities
Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability
Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments
Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets
Assess AI approaches for scalability, reliability, cost, security, and operational feasibility
Make and document engineering and architectural decisions related to model deployment and integration
Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products
Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders
Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments
Requirements
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure
3+ years of hands-on experience building, training, evaluating, and deploying ML models
Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace)
Solid understanding of AI/ML deployment patterns, including: Batch and real-time inference, Model APIs and pipelines, Integration into distributed systems
Practical experience with modern AI paradigms, such as: Foundation models / LLMs, Agent-based systems and orchestration, Context retrieval and augmentation techniques
Demonstrated ability to lead technical investigations and drive them to concrete outcomes
Ability to connect AI capabilities to practical industrial or enterprise use cases
Leading R&D initiatives for AI at VO2 Group, a tech consulting leader in France. Driving scientific research and managing technical teams for innovative AI solutions.
Machine Learning Researcher working with a diverse team to integrate ML techniques into fusion technology. Collaborating with scientists and engineers to drive innovative energy solutions.
Senior AI Researcher developing Aurora, an AI system for guiding financial outcomes at Moneybox. Collaborating with ML engineers and scientists to design scalable architecture and prototype solutions.
Lead AI Research Engineer at AVEVA, focusing on prototyping and validating emerging AI technologies. Collaborating with teams to drive innovation and real - world applications in industrial software.
AI Scientist developing state - of - the - art AI solutions for drug discovery and proximity - inducing molecules. Collaborating with cross - disciplinary teams on unsolved scientific challenges in machine learning.
AI Researcher / Engineer at Constructor Knowledge Labs focusing on autonomous scientific discovery and AI systems for scientific computing and materials research.
Finance Intern supporting AI research by building and executing financial models. Collaborating with senior professionals to enhance AI's understanding of financial markets.
Machine Learning Researcher enhancing AI in K - 12 education at Kiddom. Driving significant improvements in teaching experiences and student outcomes with innovative AI applications.
Build neural networks for autonomous vehicle technology at Mobileye, focusing on deep learning model design and deployment. Collaborate with teams to ensure high - impact research solutions.