Machine Learning Engineer
Posted Today by Sanderson
£750 Per day
Undetermined
Remote
United Kingdom
Summary: The Machine Learning Engineer role involves maintaining the stability and performance of core data and machine learning systems for a tech-driven FTSE 100 organization. This fully remote position focuses on reliability, optimization, and critical fixes, requiring expertise in debugging complex data flows and ML issues. The role is expected to last for an initial period of 3-6 months. Candidates should have a proven background in machine learning and strong technical skills in relevant programming languages and tools.
Key Responsibilities:
- Maintain stability and performance of core data and ML systems across Europe.
- Focus on reliability, optimization, and critical fixes in live production environments.
- Investigate and debug complex data flows and ML issues.
Key Skills:
- Proven background as a Machine Learning Engineer.
- Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).
- Experience with data transformation & manipulation tools like Airflow, DBT, and Kubeflow.
- Experience with GCP and Vertex AI for developing ML services.
- Solid understanding of computer science fundamentals and time-series forecasting.
- Strong grasp of ML and deep learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).
Salary (Rate): £750 daily
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 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).