AI Research Scientist

We are looking for a highly motivated AI Research Scientist to join our growing research team. This role is ideal for individuals passionate about solving real-world problems using advanced machine learning, deep learning, and AI techniques. You will work alongside a team of experts to design, implement, and publish state-of-the-art AI models with direct applications to our product lines and client solutions.

• Conduct original research in AI/ML, with a focus on areas such as generative models, foundation models, reinforcement learning, or unsupervised learning.

Develop scalable prototypes and work closely with engineering teams to bring research into production.

Publish findings in top-tier conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL, etc.).

Collaborate cross-functionally with data scientists, software engineers, and product teams to identify high-impact opportunities for AI.

Stay current with the latest research developments and integrate them into ongoing projects.

Mentor junior researchers and contribute to building a strong, innovative research culture.

Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Strong publication record or demonstrated research experience in AI/ML.

Proficiency in Python and deep learning frameworks (e.g., PyTorch, Tensor Flow, JAX).

Solid understanding of machine learning algorithms, statistical modeling, and optimization techniques.

Experience with large-scale data processing (e.g., Spark, Dask) is a plus.

Excellent communication and collaboration skills.

Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps practices.

Background in one or more application domains: NLP, computer vision, time-series forecasting, etc

Provide expert guidance on developing an AI strategy

Full time

London, UK

Utilizing AI and statistical techniques to extract insights from complex datasets and drive data-driven decision-makin

Conducting cutting-edge research in AI, developing new algorithms, and pushing the boundaries of AI capabilities.

Designing and implementing machine learning models and systems, and optimizing algorithms for real-world applications.