£750 Per day
Undetermined
Remote
London, UK
Summary: A FTSE 100 retail client is seeking a Machine Learning Engineer to enhance their data science capabilities by implementing advanced machine learning technologies. The role is fully remote and offers a competitive daily rate. The position is initially for a duration of six months, focusing on driving innovation within the business. Candidates should possess significant experience in data science and machine learning, along with a strong technical skill set.
Key Responsibilities:
- Drive the implementation of cutting-edge machine learning technology across the business.
- Collaborate with the data science function to enhance data analysis capabilities.
- Develop GCP machine learning services and conduct timeseries forecasting.
- Utilize machine learning algorithms and modern deep learning techniques in projects.
- Apply computer science fundamentals to solve complex data problems.
Key Skills:
- Significant experience working as a Data Scientist/Machine Learning Engineer.
- Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib).
- GCP, VertexAI experience is desirable.
- Timeseries forecasting expertise.
- Strong understanding of machine learning algorithms and modern deep learning techniques.
Salary (Rate): £750 daily
City: London
Country: UK
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
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 a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business.
Machine Learning Engineer, key skills:
- Significant experience working as a Data Scientist/Machine Learning Engineer
- Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib).
- GCP, VertexAI experience is desirable (developing GCP machine learning services)
- Timeseries forecasting
- Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture
- Strong knowledge of Machine Learning algorithms (eg Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (eg NLP, Transfer Learning etc.) and modern Deep Learning algorithms (eg BERT, LSTM, etc.)
Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP
Reasonable Adjustments:
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