Machine Learning Architect
Machine Learning Architect
Fully Remote
Rate: Up to €320 p/d
Explore Group have partnered up with a trusted global consultancy who are looking for a Machine Learning Architect to join them on a project working with their end client who is an established insurance company.
Role Overview:
As a Machine Learning Architect, you will play a crucial role in designing and architecting innovative machine learning solutions for our multinational insurance client. You will be responsible for creating scalable, secure, and efficient machine learning models and pipelines.
Responsibilities:
- Machine Learning Architecture: Design end-to-end machine learning solutions and systems that address complex business problems.
- MLOps Expertise: Develop and maintain MLOps pipelines to ensure the seamless deployment and monitoring of machine learning models.
- Programming and Tool Proficiency: Utilise relevant programming languages, tools, and frameworks commonly used in model development and MLOps, such as Python, Docker, and Kubernetes.
- Cloud Computing: Utilise cloud computing platforms (eg, AWS, Azure, GCP) and have experience with their services related to machine learning and deployment.
- Scalability: Architect and design scalable and secure platforms that can handle large volumes of data and adapt to changing business needs.
Requirements:
- A minimum of 4 years of experience in an AI/ML/Data Science role, with a strong background in MLOps.
- Proficiency in programming languages commonly used in machine learning, such as Python, and experience with containerisation tools like Docker and orchestration tools like Kubernetes.
- Strong knowledge of cloud computing platforms, including AWS, Azure, or GCP, and hands-on experience with their machine learning-related services.
- Proven experience in architecting and designing scalable and secure platforms, with a focus on data and model security.
- Excellent problem-solving and communication skills, as you will work closely with both technical and non-technical stakeholders.
Reference: 2675486479
Machine Learning Architect

Posted on Nov 7, 2023 by Explore Group
Machine Learning Architect
Fully Remote
Rate: Up to €320 p/d
Explore Group have partnered up with a trusted global consultancy who are looking for a Machine Learning Architect to join them on a project working with their end client who is an established insurance company.
Role Overview:
As a Machine Learning Architect, you will play a crucial role in designing and architecting innovative machine learning solutions for our multinational insurance client. You will be responsible for creating scalable, secure, and efficient machine learning models and pipelines.
Responsibilities:
- Machine Learning Architecture: Design end-to-end machine learning solutions and systems that address complex business problems.
- MLOps Expertise: Develop and maintain MLOps pipelines to ensure the seamless deployment and monitoring of machine learning models.
- Programming and Tool Proficiency: Utilise relevant programming languages, tools, and frameworks commonly used in model development and MLOps, such as Python, Docker, and Kubernetes.
- Cloud Computing: Utilise cloud computing platforms (eg, AWS, Azure, GCP) and have experience with their services related to machine learning and deployment.
- Scalability: Architect and design scalable and secure platforms that can handle large volumes of data and adapt to changing business needs.
Requirements:
- A minimum of 4 years of experience in an AI/ML/Data Science role, with a strong background in MLOps.
- Proficiency in programming languages commonly used in machine learning, such as Python, and experience with containerisation tools like Docker and orchestration tools like Kubernetes.
- Strong knowledge of cloud computing platforms, including AWS, Azure, or GCP, and hands-on experience with their machine learning-related services.
- Proven experience in architecting and designing scalable and secure platforms, with a focus on data and model security.
- Excellent problem-solving and communication skills, as you will work closely with both technical and non-technical stakeholders.
Reference: 2675486479

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