Machine Learning/Data Engineer
Posted 6 days ago by Sanderson Recruitment Plc
£750 Per day
Inside
Remote
London, UK
Summary: The Machine Learning/Data Engineer role involves maintaining the stability and performance of core data and machine learning systems for a leading FTSE 100 organization. This fully remote position focuses on reliability and optimization, requiring expertise in debugging complex data flows and machine learning issues. The role is expected to last for an initial period of 3-6 months. Candidates will contribute to enhancing customer experience and driving sustainable growth through data science and AI initiatives.
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: London
Country: UK
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Machine Learning/Data 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 (eg 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.