Stott and May
This range is provided by Stott and May. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $80.00/hr - $140.00/hr
We are working with a large Utilities/Energy 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 operationalise 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
Seniority level Mid-Senior level
Employment type Contract
Job function Information Technology
Industries Staffing and Recruiting
Referrals increase your chances of interviewing at Stott and May by 2x
Get notified about new Machine Learning Engineer jobs in
New York, United States .
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Base pay range $80.00/hr - $140.00/hr
We are working with a large Utilities/Energy 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 operationalise 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
Seniority level Mid-Senior level
Employment type Contract
Job function Information Technology
Industries Staffing and Recruiting
Referrals increase your chances of interviewing at Stott and May by 2x
Get notified about new Machine Learning Engineer jobs in
New York, United States .
#J-18808-Ljbffr