£750 Per day
Inside
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 the implementation of machine learning technologies across the business.
- Utilize SQL and Python for data manipulation and analysis.
- Transform and manipulate data using tools like Airflow, DBT, and Kubeflow.
- Develop machine learning services on GCP and Vertex AI.
- Apply deep learning and NLP techniques, including expertise in LLM.
- Implement various machine learning algorithms and models.
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 cloud services, specifically GCP and Vertex AI.
- Expertise in deep learning and natural language processing.
- Solid understanding of computer science fundamentals and time-series forecasting.
- Strong grasp of machine learning and deep learning algorithms.
Salary (Rate): £750 daily
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
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 Natural 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)