Machine Learning Engineer

Technical resource on the TME product team, partnering with a Project Manager. Builds and maintains data extraction and processing pipelines that transform EU tariff measures data (customs duties, tariffs, VAT, excise taxes) from government sources into structured, client-ready formats. Works using AI-assisted development tools and the BMAD methodology .This is a senior-level position requiring independent architecture and delivery decisions.

What You Will Do

• Develop AI native applications that extract and process trade compliance data from central EU and member state government sources — both structured (XML, JSON, CSV, HTML tables, APIs) and unstructured (PDF documents, legal text, prose regulations, scanned publications)
• Design and built AI native data pipelines that monitor, detect changes, extract, normalise, validate, and release tariff measures data to clients
• Integrate AI/LLM capabilities into extraction workflows — using large language models for document understanding, entity extraction, classification, and data structuring
• Design and maintain data models for customs duties, VAT/excise information, and tariff measure metadata
• Ensure data quality through automated testing, benchmarking against official sources, data source and legal source comparison, and data validation pipelines

• 3+ years of professional software development
• Proficiency in at least two programming languages — e.g., Python, JavaScript/TypeScript, Java, Go, C#, Rust, Kotlin, or similar. We value strong fundamentals over specific language experience
• Methodology / Framework: Bmad Method
• Data extraction and processing — web scraping, document parsing, API integration, ETL/ELT pipelines. Must be comfortable with both:
• Structured data: XML, JSON, CSV, HTML tables, databases, REST/SOAP APIs
• Unstructured data: PDFs, legal text, prose regulations, HTML without clear structure, scanned documents
• Database design and querying — relational (PostgreSQL or similar) and/or document-based databases. Schema design, migrations, indexing
• API development — building and consuming RESTful APIs
• Version control — Git workflow, branching strategy, code review
• Automated testing — unit, integration, and data validation tests as part of development workflow
• Self-sufficiency – ability to analyse, design and build complete solution
• Rapid development – segment development into phasing to get results faster
• Influencer – demonstrate approach to other team members to lift group maturity
• Communication – can work with technical, business and project team members, participates in and leads discussion

• LLM/AI API integration (OpenAI, Anthropic Claude, Google Gemini) — for data processing, document understanding, or content extraction
• AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, Windsurf, or similar)
• NLP / document processing — OCR, text extraction, entity recognition, text classification
• Graph databases (Neo4j) or vector databases (pgvector)
• Observability and monitoring (SigNoz, Grafana, Langfuse, or similar)
• Containerisation and deployment (Docker, CI/CD pipelines)