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Job Details
Machine learning Engineer/AI/Git/AWS/AWS Sagemaker/Docker/Terraform/Cloud formations (Contract)
Location: United Kingdom Country: UK
REMOTE - CONTRACT - Machine Learning Engineer
A Major global client is seeking an experienced Machine learning engineer. You'll assist in productionizing machine learning models, including pipeline optimization, and ensuring models work effectively in a production environment.
Your responsibilities:
- Understanding the requirements and needs of business stakeholders
- Identifying how AI and machine learning solutions can support their business strategy.
- Support the productionisation of machine learning models, including pipeline design, development, testing, and deployment, ensuring the original intent is carried over to production, and contribute to frameworks for robust monitoring of machine learning models within a production environment
We expect you to have experience building, testing, supporting, and deploying machine learning models into a production environment using modern CI/CD tools:
- Git
- AWS
- AWS Sagemaker
- Docker
- Terraform
- Cloud Formation
- Kubernetes
- PyTorch
- TensorFlow
- Jax
- Numpy
- Scikit-learn
You'll also need proficiency in machine learning approaches and algorithms, such as:
- Time-series forecasting
- Classification
- Regression
- Large language models
- Generative AI.
- Strong programming and Scripting skills, particularly in Python are essential as is a basic knowledge of the financial services industry and the ability to identify wider business impact and risk opportunities.
Posted Date: 07 May 2024
Reference: JSFEFU MACHINE LEARN
Employment Business: Franklin Fitch
Contact: Freddie Fulk