Summary: The role of Senior AI/ML Developer and Data Scientist focuses on designing and deploying advanced AI/ML models and data science solutions specifically within the telecommunications industry. The candidate is expected to have hands-on experience with training and fine-tuning large language models (LLMs) and to collaborate with stakeholders to translate business needs into scalable solutions. The position also involves mentoring junior team members and staying updated on the latest technologies in AI/ML. A strong background in AI/ML algorithms and techniques is essential for success in this role.

Key Responsibilities:

• Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI.
• Perform feature engineering and selection to optimize model performance.
• Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
• Train, evaluate, and optimize models using machine learning and statistical techniques.
• Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
• Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets.
• Deploy models to production environments, ensuring robustness and scalability.
• Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.
• Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems.
• Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making.
• Stay updated on the latest advancements in AI/ML and data science technologies.
• Lead and mentor junior team members.
• Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes.

Key Skills:

• 5+ years of experience in AI/ML development and data science.
• Extremely strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn).
• Proficiency in Python, R, or other relevant programming languages.
• Proficiency in working with large datasets, data wrangling, and data preprocessing.
• Experience in data science, statistical modelling, and data analytics techniques.
• Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Ability to work totally independently and lead projects from inception to deployment.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable.
• MSc or PhD in Computer Science, Data Science, Artificial Intelligence.

Salary (Rate): undetermined

City: undetermined

Country: UK

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT