Stott and May ยท 1 week ago
ML Engineer
New York, United States
Contract
Hybrid
Mid Level
$80/hr - $140/hrStott and May is working with a large Utilities/Energy client seeking experienced Machine Learning Engineers to support ML initiatives in a contact center transformation program. The role involves building, training, and deploying machine learning models while collaborating with data engineering and product teams to operationalize these models.
Staffing Agency
Responsibilities
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 operationalise models
Developing and maintaining ML pipelines for training, inference, and monitoring
Supporting model performance, reliability, and scalability in production environments
Qualification
Required
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
Preferred
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
Company
Stott and May
Stott and May provides intelligent executive recruitment for organisations across the UK, Europe and North America.
Founded in 2009
51-200 employees
H1B Sponsorship
Stott and May has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageLeadership Team
Stephen Stott
CEO
Andrew Gee
Chief Revenue Officer
Company data provided by crunchbase