Senior ML Engineer — Remote UK | Generative AI & MLOps

wlt; United Kingdom; Hybrid; GBP 70,000 - 80,000; Full time

Benefits offered by this job

25 days holiday

Life Assurance

Private Medical Insurance

Dental Insurance

Health Assessments

Cycle-to-work scheme

Discounted gym memberships

Referral Scheme

Job summary

Williams Lea seeks a highly skilled Senior ML Engineer to design, develop, deploy, and maintain scalable ML and Generative AI solutions for enterprise and client facing applications. You will work on end-to-end ML pipelines, LLM integrations, cloud-native AI platforms, and production grade AI systems across AWS and Azure environments.

The ideal candidate has strong Python development, ML model deployment, MLOps practices, and experience with cloud services, model monitoring, and governance in

Qualifications

• Bachelor's or master's degree in computer science, data science, AI or related field.
• Strong Python development skills and ML model deployment experience.
• Experience with cloud platforms (AWS and/or Azure) and production AI systems.

Responsibilities

• Design, build, and deploy scalable ML and Generative AI solutions in production environments.
• Develop end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
• Integrate LLMs and AI services into enterprise applications and workflows.
• Work with cloud-native AI services including AWS SageMaker, Bedrock, Lambda, S3, CloudWatch, and Azure ML.
• Implement MLOps best practices including CI/CD, model versioning, testing, monitoring, and governance.
• Collaborate with Data Scientists, Platform Engineers, Backend Teams, Product Owners, and Solution Architects.
• Support production releases, troubleshooting, model monitoring, and performance optimization.
• Ensure compliance with security, governance, and responsible AI standards.

Skills

Python programming

ML model development

Cloud platforms (AWS/Azure)

MLOps / CI/CD

REST APIs

Docker / Kubernetes

Generative AI / LLMs

Education

Bachelor's or Master's in CS/DS/AI

Tools

SageMaker

Bedrock

Azure ML

Terraform

Job description

Williams Lea seeks a highly skilled Senior ML Engineer to design, develop, deploy, and maintain scalable ML and Generative AI solutions for enterprise and client facing applications. You will work on end-to-end ML pipelines, LLM integrations, cloud-native AI platforms, and production grade AI systems across AWS and Azure environments.

The ideal candidate has strong Python development, ML model deployment, MLOps practices, and experience with cloud services, model monitoring, and governance in