Machine Learning Engineer

Machine Learning Engineer

Posted 5 days ago by 1756453133

Apply
Negotiable
Inside
Hybrid
City of London, London
Apply
Algorithms Amazon Web Services (AWS) Artificial Intelligence AWS SageMaker Banking Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery Data Engineering Data Science Deep Learning Extract Transform Load (ETL) Forecasting Git (Version Control System) Machine Learning Machine Learning Algorithms Natural Language Processing NumPy Pandas (Python Package) Python (Programming Language) PyTorch (Machine Learning Library) Scalability Scikit-learn (Machine Learning Library) Statistical Methods TensorFlow Version Control

Summary: Lorien's banking client is seeking a Machine Learning Engineer to enhance their data science and AI team. The role involves designing, developing, and deploying scalable machine learning solutions using Python and Amazon SageMaker. This position offers a hybrid working model, requiring one day on-site per quarter. The role is classified as inside IR35 and is based UK wide.

Key Responsibilities:

  • Design and implement machine learning models for classification, regression, and forecasting tasks.
  • Build and manage end-to-end ML pipelines using Amazon SageMaker.
  • Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems.
  • Optimise model performance and scalability.
  • Monitor and maintain deployed models, ensuring reliability and accuracy.
  • Stay up-to-date with the latest ML research and tools.

Key Skills:

  • Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch).
  • Hands-on experience with Amazon SageMaker, including training, tuning, and deploying models.
  • Solid understanding of machine learning algorithms and statistical methods.
  • Experience with cloud platforms (AWS preferred).
  • Familiarity with CI/CD practices and version control (Git).
  • Excellent problem-solving and communication skills.

Salary (Rate): undetermined

City: City of London

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Machine Learnig Engineer

Hybrid Working - UK Wide - 1 day a quarter on site.

Financial Services

Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon SageMaker.

This role is based UK Wide.

This role will be Via Umbrella.

Working in a Hybrid Model of 1 day a week on site.

Key Responsibilities

  • Design and implement machine learning models for classification, regression, and forecasting tasks.
  • Build and manage end-to-end ML pipelines using Amazon SageMaker.
  • Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems.
  • Optimise model performance and scalability.
  • Monitor and maintain deployed models, ensuring reliability and accuracy.
  • Stay up-to-date with the latest ML research and tools.

Required Skills & Experience

  • Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch).
  • Hands-on experience with Amazon SageMaker, including training, tuning, and deploying models.
  • Solid understanding of machine learning algorithms and statistical methods.
  • Experience with cloud platforms (AWS preferred).
  • Familiarity with CI/CD practices and version control (Git).
  • Excellent problem-solving and communication skills.

Nice to Have

  • Experience with MLOps tools and practices.
  • Knowledge of data engineering and ETL pipelines.
  • Exposure to deep learning frameworks and NLP techniques.

IND_PC3

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Apply
Similar Jobs
Loading data...