Machine Learning Engineer
Posted Today by Sanderson
£750 Per day
Undetermined
Remote
London Area, United Kingdom
Summary: The role of Machine Learning Engineer involves joining a FTSE 100 retail client's data science function to implement advanced machine learning technologies. Candidates should possess a strong technical background in machine learning, data manipulation, and cloud services, particularly with GCP. The position is fully remote and offers a competitive daily rate. The initial contract duration is six months.
Key Responsibilities:
- Drive cutting-edge machine learning technology across the business.
- Utilize SQL and Python for data manipulation and analysis.
- Implement data transformation processes using tools like Airflow, DBT, and Kubeflow.
- Develop machine learning services on GCP and Vertex AI.
- Apply deep learning and natural language processing techniques.
- Understand and implement various machine learning algorithms.
Key Skills:
- Proven experience as a Machine Learning Engineer.
- Strong proficiency in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).
- Experience with data transformation and manipulation tools (Airflow, DBT, Kubeflow).
- Familiarity with GCP and Vertex AI.
- Expertise in deep learning and natural language processing (NLP).
- Solid understanding of computer science fundamentals and time-series forecasting.
- Strong grasp of machine learning and deep learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).
Salary (Rate): £750 daily
City: London Area
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 6 month initial A FTSE 100 retail client are on the look for multiple Machine Learning Engineers to join their data science function to drive cutting-edge ML technology across the business. 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) Deep learning and N atural Language Processing (NLP): LLM (Large Language Model) 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)