Senior ML Engineer: Production ML & MLOps

TWG Global AI; Greater London; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A technology solutions firm in the United Kingdom is seeking a Senior Associate, Machine Learning Engineer. You will design, build, and scale machine learning systems to drive business value. The role involves working with a dynamic AI team, contributing to ML models, and collaborating with data scientists. Ideal candidates will have experienced in deploying machine learning models and proficiency in Python, alongside relevant tools and technologies. This hybrid role offers competitive compensation, benefits, and career growth opportunities.

Benefits

Competitive base pay

Discretionary bonus

Full range of medical benefits

Qualifications

• 5+ years of experience building and deploying machine learning models in production environments.
• Solid understanding of machine learning engineering fundamentals.
• Experience with monitoring and diagnostics.

Responsibilities

• Contribute to the design, development, and deployment of ML models.
• Support production efforts including model packaging and monitoring.
• Collaborate with Data Scientists to operationalize prototype models.

Skills

Experience building and deploying machine learning models

Problem-solving skills

Proficiency in Python

Data manipulation using Pandas and NumPy

Familiarity with ML libraries

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field

Tools

MLOps tools (e.g., MLflow, Weights & Biases)

Containerization tools (Docker, Kubernetes)

Cloud ML services (AWS SageMaker, GCP Vertex AI, Azure ML)

Job description

A technology solutions firm in the United Kingdom is seeking a Senior Associate, Machine Learning Engineer. You will design, build, and scale machine learning systems to drive business value. The role involves working with a dynamic AI team, contributing to ML models, and collaborating with data scientists. Ideal candidates will have experienced in deploying machine learning models and proficiency in Python, alongside relevant tools and technologies. This hybrid role offers competitive compensation, benefits, and career growth opportunities.