AI Engineer - Remote

YO IT Consulting

ML EngineermidManchester, England, UKremotefulltimeSoftware DevelopmentPythonAWSKubernetesCI/CDMachine LearningTensorFlowPyTorchJavaposted
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Job Description Job Title: AI Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key 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. Required Skills And 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. * Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration. * Demonstrated ability to scope, structure, and solve complex, real-world data challenges. Preferred Qualifications * Familiarity with deep learning frameworks such as TensorFlow or PyTorch. * Experience working in high-growth or startup environments. * Strong publication record or contributions to open-source AI projects.