Lead Data Scientist

We are looking for an experienced Lead Data Scientist. The team would be supporting the development of assets (e.g., plugins) to further drive the AI strategy and put it into practice.

Responsibilities:

Development and training of transformer-based models for both text and images. Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring. Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions. Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques. Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...) Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...) Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP). Understanding of the whole ML lifecycle and experience with MLOps/DataOps. Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...) Strong problem-solving skills and attention to detail. Good communication skills, fluent English.

If you are interested, please contact our consultant for a confidential discussion using the contact details provided or click apply to send an updated copy of your CV.

Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.