NLP/ML Data Engineer — Production Pipelines for Financial Insights

Theia Insights; Cambridge; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private health insurance

Pension scheme

Hybrid work in UK (London or Cambridge

Job summary

Theia Insights builds foundational financial intelligence products and serves leading asset managers, hedge funds, and banks. We are seeking an engineer for the Data Products team to own NLP/data pipelines ingesting filings and web content to power TIIC classifications and our thematic factor models.

You will run large-scale NLP inference, ingest market data, and own dataset schemas in collaboration with economists and engineers to ensure reliable production data.

Qualifications

• Strong production Python.
• Datasets in pandas and Parquet/Arrow, plus an analytical engine, e.g. DuckDB, or a warehouse such as Snowflake.
• Orchestrated batch pipelines you've operated, not just written: Dagster or Airflow, S3-based data flows, and a habit of testing outputs for correctness rather than only for exceptions.
• Applied ML in production: embeddings and semantic similarity, clustering, or operationalising models (not necessarily training from scratch).
• AWS fluency and CI/CD discipline.

Responsibilities

• Build and maintain pipelines that classify global public equities across our five-level taxonomy, sector, industry, sub-industry, major theme and micro theme, by extracting information from filings and web content, and assigning thematic exposures based on this information.
• Run large-scale NLP and LLM inference (entity extraction, classification, knowledge graph construction) over company documents, with cost- and throughput-aware batch execution.
• Ingest market data and publish datasets to external distributors.
• Own schema and contract evolution for datasets with real downstream consumers.
• Work with economists and engineers to turn modelling decisions into reliable production data.

Skills

Python

Pandas

DuckDB

Snowflake

Dagster

Airflow

AWS

LLM embeddings

CI/CD

Docker

Tools

Pandas

Parquet/Arrow

DuckDB

Snowflake

Dagster

Airflow

AWS

Docker

SageMaker

Terraform

Job description

Theia Insights builds foundational financial intelligence products and serves leading asset managers, hedge funds, and banks. We are seeking an engineer for the Data Products team to own NLP/data pipelines ingesting filings and web content to power TIIC classifications and our thematic factor models.

You will run large-scale NLP inference, ingest market data, and own dataset schemas in collaboration with economists and engineers to ensure reliable production data.