We are working with a large digital client looking to bring on several experienced Machine Learning Engineers to support ML initiatives as part of a broader contact center transformation program.

You will join an existing agile delivery team focused on modernizing customer engagement, service operations, and agent experience using data and machine learning.

There is scope to add additional engineers as the program progresses.

This role suits someone who is hands on, comfortable working across the full ML lifecycle, and experienced in deploying machine learning solutions that support real world operational use cases.

This is an initial 6-month contract engagement with a strong view to extend.

Rates are competitive and dependent on experience, with full time hours.

We engage contractors via W2 or personal LLC only and cannot work with C2C third party vendors.

What you will be doing

Building, training, and deploying machine learning models to support contact center use cases
Working with structured and unstructured data such as call metadata, transcripts, and customer interaction data
Partnering closely with data engineering, data science, and product teams to operationalize models
Developing and maintaining ML pipelines for training, inference, and monitoring
Supporting model performance, reliability, and scalability in production environments

What we are looking for

Strong experience as a Machine Learning Engineer delivering models into production
Strong Python experience and familiarity with common ML libraries
Experience deploying and operating ML workloads in cloud environments
Understanding of the full ML lifecycle from data ingestion to deployment
Experience working in agile, delivery focused teams

Nice to have

Experience with NLP, speech analytics, or text based ML use cases
Exposure to contact center platforms or customer service analytics
Experience with deep learning frameworks such as PyTorch or TensorFlow
Exposure to GenAI or LLM based customer interaction use cases

Why this role

High impact work supporting customer facing transformation
Modern data and ML stack within a regulated utilities environment
Opportunity to work with experienced data, ML, and engineering teams
Flexible engagement model

Stott and May AI Jobs

Latest AI Jobs at Stott and May

AI Engineer

Machine Learning Engineer

Artificial Intelligence Engineer