Data Scientist

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