Machine Learning Engineer in London - Sanderson

Job Overview

Location
London, England
Job Type
Full Time
Salary
TBC
Date Posted
15 days ago

Additional Details

Job ID
100126707
Job Views
17

Job Description

Machine Learning Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

6 month initial


Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.


As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.


We're looking for individuals with:

  • Experience: Proven background as a Machine Learning Engineer.
  • Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).
  • Data transformation & manipulation: experience with Airflow, DBT and Kubeflow
  • Cloud: Experience with GCP and Vertex AI (developing ML services).
  • Expertise: Solid understanding of computer science fundamentals and time-series forecasting.
  • Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).


Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Location

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