MLE- Machine Learning Engineer

Sanderson Recruitment Plc

London, UK

5 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Compensation

£182,000.0 - £195,000.0

Working hours

Regular working hours

Job source

www.reed.co.uk

Tech stack

Airflow Amazon Web Services Microsoft Azure Big Data BigQuery Computer Programming Continuous Integration Data Systems Data Warehousing Database Queries Python (Programming Language) Machine Learning

+13 more

NumPy Tensorflow SQL Databases Data Processing Google Cloud Pytorch Snowflake Pandas Containerization Scikit Learn Kubernetes Docker Amazon Redshift

Requirements

This role is ideal for someone with strong software engineering fundamentals, hands-on data experience, and a passion for building scalable, high-quality ML and data solutions in production environments.

Essential Experience

Strong programming skills in Python (Pandas, NumPy, etc.).
Proficiency in SQL for data querying and transformation.
Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Experience working with data manipulation and large datasets.
Proven experience developing and maintaining production-level codebases.
Experience with any public cloud provider (GCP, AWS, or Azure).
Optimise Python performance through effective use of loops, vectorization, threading, and understanding of the Global Interpreter Lock (GIL).

Desirable Experience

Experience with Kubeflow, Airflow, or dbt.
Hands-on experience with Google Cloud Platform (GCP).
Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices.
Familiarity with data warehouse technologies (BigQuery, Redshift, Snowflake, etc.).