Machine Learning Engineer

Machine Learning Engineer

Posted 1 week ago by Sanderson

£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

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 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)