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# ML Scientist

- **Company:** Metica
- **Location:** London, UK
- **Salary:** £93,653.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Apache HTTP Server, Python (Programming Language), Software Engineering, SQL Databases, Pytorch, Apache Spark, Pyspark, Power Analysis (Cryptography), Data Analytics, Xgboost, Machine Learning Operations, Data Pipelines
- **Published:** September 15, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5883921366

## About the Role

* Expert Python and SQL, with experience building production ML systems and data pipelines (PyTorch, XGBoost, Spark/PySpark, Apache Iceberg, Ray, MLflow, SageMaker, Airflow, or equivalent).
 * Deep experimentation and statistical inference skills, and a strong grasp of optimisation under uncertainty (bandits, causal inference, off-policy evaluation).
 * Data-driven and self-driven - comfortable with ambiguity and able to work across engineering, product and customer-facing teams.
 * Demonstrated ownership of production business metrics, not just research models, is a plus - as is effective use of AI-assisted and agentic software engineering workflows.

## Description

* Own ML systems end to end - hypothesis, experimentation, training, evaluation, deployment, monitoring and iteration.
 * Write production-quality training and inference code, own releases, and be accountable for the business metrics your models improve.
 * Design, execute and interpret A/B and multivariate experiments - power analysis, guardrails, exposure/assignment strategy and statistical significance.
 * Apply contextual bandits, causal inference, uplift modelling, off-policy evaluation and propensity scoring to optimise real-world decisions.
 * Analyse large-scale datasets, diagnose changes in model or product performance, and turn findings into clear recommendations for engineering, product and commercial teams.


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