About This Career

Job Title: ML Ops Specialist (E-commerce Domain)

Experience Required: 2 to 4 Years

Location: London, United Kingdom (Hybrid/Remote)

Salary: Up to £45,000 per year

Job Type: Full-Time, Permanent

About Us:

The Lavence Group® is a growing leader in the e-commerce industry, leveraging cloud technologies to deliver seamless and scalable shopping experiences. We specialize in innovative solutions that enhance security, user engagement, and data-driven decision-making. As part of our dynamic team, you will work on cutting-edge ML Ops and cloud infrastructure, driving AI-driven automation and optimization for high-traffic e-commerce platforms.

Job Summary:

We are seeking an ML Ops Specialist with strong coding expertise and deep knowledge of e-commerce application security, user engagement strategies, and AI-driven feature implementation. The ideal candidate will have 3 to 6 years of experience in Machine Learning Operations (ML Ops), DevOps, and Cloud-based AI solutions. Your role will involve deploying, monitoring, and optimizing ML models, enhancing security, and improving user engagement through automation and data processing.

Key Responsibilities:

• ML Ops & Model Deployment: Deploy, manage, and optimize ML models in production using MLOps tools (Kubeflow, MLflow, SageMaker, etc.).
• Automation & Infrastructure as Code (IaC): Use Terraform, CloudFormation, or Ansible to automate ML pipeline provisioning and configuration.
• E-commerce Application Security: Implement security best practices to protect user data, ensuring compliance with GDPR, ISO, and PCI-DSS standards.
• Data Processing & User Filtering: Develop scalable pipelines for processing large-scale user data, segmentation, and filtering to enhance recommendations and user personalization.
• Feature Engineering & New Updates: Design and implement AI-driven features for personalized recommendations, customer segmentation, and real-time analytics.
• Performance Optimization & Scalability: Optimize ML workflows, automate model retraining, and ensure cost-efficient cloud usage.
• DevOps & CI/CD Pipelines: Implement CI/CD pipelines for ML models and applications using Jenkins, GitLab CI/CD, Docker, and Kubernetes.
• Programming & Scripting: Utilize Python, Java, PHP, and Bash for automation, data processing, and model integration.
• Monitoring & Logging: Use tools like AWS CloudWatch, Prometheus, ELK Stack, and Grafana to track system health, model performance, and infrastructure security.
• Collaboration: Work closely with developers, data scientists, and security teams to enhance ML pipelines and drive business growth.

Required Skills & Qualifications:

• Strong hands-on experience in ML Ops, AI, and DevOps for cloud-based applications.
• Proficiency in Python, Java, PHP, and scripting languages (Bash, PowerShell).
• Hands-on expertise with AWS (EC2, S3, Lambda, RDS, CloudFront, SageMaker).
• Infrastructure as Code (IaC): Terraform, CloudFormation, or Ansible.
• Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of E-commerce security, data privacy, and compliance.
• Proficiency in CI/CD pipelines, containerization (Docker, Kubernetes).
• Experience with monitoring, logging, and troubleshooting ML workflows.
• Excellent problem-solving and analytical skills.

Why Join Us?

✅ Competitive salary up to £40,000 per year

✅ Work on AI-driven e-commerce security and automation

✅ Flexible work arrangements (Hybrid/Remote options)

✅ Professional growth opportunities and AWS/Azure certification support

✅ Innovative, collaborative, and tech-first work culture

✅ Sponsorship available based on experience

📩 Apply Now: career@thelavencegroup.co.uk

Application Deadline: 30/05/2025