Remote AI Engineer: ML, AWS & Kubernetes

YO IT Consulting; Manchester; On-site; GBP 60,000 - 120,000; Full time

Job summary

YO IT Consulting is seeking an AI Engineer for a remote contract role. You will train next-generation AI systems and design scalable ML pipelines using AWS services and Kubernetes.

Strong programming skills in Python or Java are required, along with experience in ML deployment and production-focused practices. The role emphasizes collaboration with data scientists and engineers to translate real-world problems into effective ML solutions, plus a focus on clear documentation and decision

Qualifications

• Proven expertise in machine learning algorithms, model development, and deployment.
• Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
• In-depth experience with CI/CD workflows and automation tools.
• Hands-on expertise with AWS cloud services for ML applications and data pipelines.
• Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.

Responsibilities

• Design, build, and optimize robust machine learning models for production environments.
• Implement and automate end-to-end ML pipelines using CI/CD best practices.
• Leverage AWS services for scalable AI infrastructure and model deployment.
• Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
• Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
• Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
• Document and communicate findings, solution approaches, and technical decisions with clarity and precision.

Skills

ML algorithms

Python/Java

CI/CD

AWS ML

Kubernetes

Documentation

Tools

TensorFlow

PyTorch

Job description

YO IT Consulting is seeking an AI Engineer for a remote contract role. You will train next-generation AI systems and design scalable ML pipelines using AWS services and Kubernetes.

Strong programming skills in Python or Java are required, along with experience in ML deployment and production-focused practices. The role emphasizes collaboration with data scientists and engineers to translate real-world problems into effective ML solutions, plus a focus on clear documentation and decision