TrioTech Recruitment

About the Company

TrioTech Recruitment is a specialist recruitment firm with a passion for connecting top talent with leading companies across Germany, Scandinavia, and the US. We build long-lasting partnerships with both our clients and candidates, providing an exceptional and professional service. We truly believe that successful recruitment is a collaboration between three parties - the candidate, the client, and us. Our core focus lies in sourcing top-tier professionals and exciting roles in AI/Data, Cloud, Security, Software. We continuously add value by enabling clients to access our niche network of specialists built up over 15 years while finding exclusive opportunities for our candidates. Specialised Roles We Recruit For Our team specialises in a range of in-demand roles, including: AI/DATA - AI Engineer (GenAI/Agentic) - Machine Learning Engineer - Data Scientist - Data Engineer - Data Architect - MLOps Engineer - BI Engineer Cloud (Azure, AWS, GCP) - Cloud Engineer - Cloud Architect - DevOps Engineer - Site Reliability Engineer - Cloud Infrastructure Engineer - Kubernetes Specialist Security - Security Engineer - Security Architect - DevSecOps Engineer - AppSec Engineer - Network Security Engineer - IAM Architect - Penetration Tester Software - Fullstack Engineer - Backend Engineer - Frontend Engineer - Software Architect - Platform Engineer Executive - Head of Ai/Data/Cloud/Security - Director of Ai/Data/Cloud/Security - VP of Ai/Data/Cloud/Security - CTO / CISO / CDO Our Recruitment Services We offer flexible and comprehensive recruitment solutions to meet your specific needs: • Contract & Full-Time Placements • Retained Search • Statement of Work • Exclusive Partnerships • Executive-Level Search Ready to find your next career opportunity or build your dream team? We look forward to collaborating with you. Email: info@triotechrecruitment.com

Listed Jobs

Company Name

TrioTech Recruitment

Job Title

Machine Learning Engineer

Job Description

Job Title: Machine Learning Engineer Role Summary: Design, develop, and deploy AI/ML software products and data infrastructures that support production-level inference, batch processing, and MLOps pipelines. Expectations: - Produce production‑ready ML solutions with end‑to‑end responsibility. - Collaborate cross‑functionally to integrate ML components into larger systems. - Adhere to best practices in software architecture, design patterns, and CI/CD for ML. Key Responsibilities: - Build and maintain large‑scale data infrastructure for AI/ML projects. - Develop reusable components, services, and frameworks for model traceability, monitoring, A/B testing, versioning, and release management. - Deploy online inference endpoints and batch inference pipelines. - Implement and optimize MLOps practices, including pipeline automation and cloud‑based deployment. - Ensure feature reuse, model traceability, and consistent release processes. Required Skills: - Proven experience deploying software products into production environments. - Hands‑on experience with AWS cloud services for ML (e.g., SageMaker, ECS, EKS, Lambda). - Strong knowledge of MLOps pipelines, data pipelines, and automated deployment. - Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Scikit‑Learn, etc.). - Familiarity with software design patterns, architecture, and CI/CD tools. - Ability to monitor, A/B test, and manage model lifecycle in production. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience). - Certifications in AWS (e.g., AWS Certified Machine Learning – Specialty, AWS Certified DevOps Engineer) preferred.

London, United kingdom

Hybrid

04-12-2025