FULLY REMOTE OUTSIDE IR35 We are looking for a Data Scientist with strong machine learning and AI engineering skills to develop the capabilities of our in-house AI platform. This hands-on product development role takes ideas from business requirements through experimentation, evaluation and deployment. A particular focus is producing reliable, structured outputs that applications and business systems can consume and customers can use. Key responsibilities * Develop and improve machine learning and AI capabilities that address practical customer needs. * Build AI workflows for information extraction, classification, knowledge retrieval, summarisation and decision support. * Design, generate and validate structured JSON outputs using defined schemas, data types and validation rules. * Prepare, clean, transform and structure data for model development, application consumption, reporting and dissemination. * Evaluate appropriate approaches, including conventional machine learning, large language models, retrieval-augmented generation and fine-tuning where justified. * Create evaluation datasets and repeatable tests to measure accuracy, consistency, robustness, latency and cost. * Implement controls for missing information, unsupported answers, malformed outputs and cases requiring human review. * Work with developers to expose AI capabilities through APIs and integrate them into customer applications. * Support deployment, monitoring, version control and improvement of models and AI workflows. * Document datasets, experiments, design decisions and limitations while protecting confidential customer information. Essential experience and skills * Demonstrable experience developing and deploying machine learning or AI solutions. * Strong Python skills and experience with relevant data science and machine learning libraries. * Practical experience with large language models, AI APIs and systematic evaluation. * Strong understanding of JSON, JSON Schema, structured data and data validation. * Experience preparing datasets, using SQL and building reproducible data processing workflows. * Sound understanding of statistical evaluation, overfitting, data leakage and model limitations. * Ability to write maintainable, tested code and collaborate through version control. * Clear communication and the ability to translate business problems into measurable technical outcomes. Desirable experience * Retrieval systems, embeddings, vector databases and document processing. * MLOps, cloud deployment, containers and model monitoring. * AI tool calling, agent workflows and Model Context Protocol integrations. * Experience developing AI capabilities for a commercial software product
Data Scientist employer: M4 Partners
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