Senior Python Developer, AI and Machine Learning

We are looking for a senior Python developer with real depth in data science and machine learning, and the confidence to lead both a team and a client conversation. You will take business problems that arrive vague and turn them into models that ship, then keep them running well in production. This is a hands-on role with ownership attached. You will design and deploy models, guide a small team through delivery, and explain what the results mean to people who do not think in confusion matrices. Key responsibilities Lead the design, development and deployment of AI/ML models against real business problems Apply statistical modelling, machine learning, deep learning and NLP as the problem demands Build and maintain scalable data pipelines and model APIs, integrated into Python and Django applications Own the project lifecycle end to end: data discovery, feature engineering, model evaluation and productionisation Translate business requirements into analytical solutions and present findings to stakeholders and clients Lead client interactions, requirement discussions and solution presentations Mentor junior data scientists and engineers, and review deliverables for quality and consistency Work with cross-functional teams to identify and prioritise data science initiatives Ensure quality control, performance tuning and compliance across deployed models and services Track developments in AI/ML and bring the ones worth having into the team.

Desired Candidate Profile

Strong Python across data analysis, machine learning and back-end development Proven experience developing and deploying ML models, not just prototyping them Django experience, including integrating ML models with web applications Command of libraries such as scikit-learn, TensorFlow, PyTorch and Keras Expertise in data wrangling, statistical analysis, feature engineering and model tuning REST APIs, SQL and NoSQL databases, and at least one cloud platform (AWS, GCP or Azure) Git, Docker and CI/CD pipelines Track record of client communication, requirement gathering and delivery Excellent written and verbal communication, including the ability to explain technical concepts to non-technical audiences Nice to have Working knowledge of LLMs and their practical applications Big data tools such as Spark, Hadoop or Kafka Exposure to MLOps practices and tooling. Employment Type Full-time