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MLOps Engineer

Verse Group Limited
City of London
1 month ago
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Senior MLOps Engineer

Senior MLOps Engineer

[Apply Now] MLOps Engineer...

Senior/ Principal Data Engineering Consultant- London

Join our team as anMLOps Engineer who acts as the critical bridge between Data Scientists and DevOps Engineers. Translate experimental ML models into scalable, production-ready applications using cutting-edge AWS services.

The Role

Core Responsibilities:

  • Technical Liaison - Bridge Data Science and DevOps teams, ensuring effective AI/ML solution deployment
  • Hands-On Support - Assist data scientists with DevOps issues, Docker containers, and MLOps tooling
  • Model Deployment - Deploy Hugging Face Transformers and ML models as secure microservices
  • AWS ML Platform - Build and evaluate models using SageMaker, Bedrock, Glue, Athena, and Redshift
  • Knowledge Transfer - Create documentation and mentor teams on MLOps best practices
  • Full ML Lifecycle - Manage training, validation, versioning, deployment, monitoring, and governance
  • API Development - Develop secure APIs using Apigee for enterprise AI functionality access
  • Automation - Build CI/CD pipelines using Jenkins and Maven for ML project integration

Essential Requirements

Minimum Qualifications:

  • Degree in Computer Science, Data Science, Mathematics, Physics, or equivalent experience
  • Python/R proficiency with practical ML and statistical modeling experience
  • End-to-end ML delivery - From experimentation to production deployment
  • Data science fundamentals - Data cleaning, feature engineering, model evaluation

Critical Technical Skills:

  • Production ML deployment - Demonstrated experience maintaining AI/ML models in production
  • AWS ML services - SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, Redshift
  • Hugging Face deployment - NLP, vision, and generative models in AWS environments
  • API development - Flask, FastAPI microservices and REST API frameworks
  • DevOps integration - CI/CD pipelines, Jenkins, Maven, Chef, Git version control
  • Cloud architecture - Working across cloud-based infrastructures

Tech Stack & Tools

AWS Services: SageMaker, Bedrock, Glue, ECS Fargate, Athena, Kendra, RDS, Redshift, Lambda, CloudWatch
Development: Python, R, Flask, FastAPI, SQL
MLOps: Apigee, Hugging Face, Jenkins, Git, Docker
Environments: Jupyter, RStudio, Linux

What We're Looking For

Experience Level: Sr. Associate or Manager with hands-on data analytics and software delivery experience

Key Qualities:

  • Client-facing skills - Strong communication, ability to explain technical concepts to non-technical stakeholders
  • Multi-priority management - Handle competing priorities in challenging environments
  • Continuous learning - Enthusiasm for new technologies, adaptability to client toolsets
  • Collaborative mindset - Team player with trust, respect, courage, and openness
  • Product-first attitude - Constantly improve product quality and support


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