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Senior Machine Learning Engineer Jobs in Guilford, CT

The Walt Disney Company

Sr Software Engineer

Bristol, CT

$122K - $161K/yr

Job Posting Title: Sr Software Engineer Req ID: 10135282 Disney Entertainment and ESPN Product ... Familiar with machine learning model training * Familiar with prompt engineering and interacting ...

The Walt Disney Company

Sr Software Engineer

Bristol, CT · On-site

$122K - $161K/yr

Job Posting Title: Sr Software Engineer Req ID: 10135285 Disney Entertainment and ESPN Product ... Familiar with machine learning model training * Familiar with prompt engineering and interacting ...

Applied Aerospace & Defense

Data Engineer

Newington, CT · On-site

$114K - $137K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... In addition, this role leads the operationalization of machine learning models, ensuring they are ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... In addition, this role leads the operationalization of machine learning models, ensuring they are ...

Staffingine LLC

Generative AI Architect

Orange, CT · On-site

... teams of AI engineers and reporting to senior leadership. * At least 5 years of hands-on experience working with Azure AI, Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning.

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Showing results 21-40

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Guilford, CT

Senior Machine Learning Engineer information

See Guilford, CT salary details

$60.6K

$128.8K

$186.8K

How much do senior machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior machine learning engineer in Guilford, CT is $128,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $146,100.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Guilford, CT?

The most popular types of Machine Learning Engineer jobs in Guilford, CT are:

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For Senior Machine Learning Engineer jobs in Guilford, CT, the most frequently searched job titles are:

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Cities near Guilford, CT with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you

Senior AI Scientist

Hyperfine | AI-Powered Portable MRI

Guilford, CT • On-site

$93K - $127K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Hyperfine, Inc. is a groundbreaking health technology company that has redefined brain imaging with the Swoop® system. The Senior AI Scientist will innovate and expand product capabilities by developing techniques to solve challenging scientific and clinical problems in MRI, ultimately improving patient outcomes.
Responsibilities:
• Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products.
• Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time.
• Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences.
• Maintain and continuously improve our existing DL models, with new training data and modeling techniques.
• Support software releases, and regulatory documentation.
Qualifications:
Required:
• PhD in a relevant field, or MS (or equivalent) with 2+ years of applied experience.
• Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
• Experience working with Medical Images and Magnetic Resonance Images.
• Software engineering experience in developing and maintaining systems using Python.
• Programming experience in PyTorch and/or TensorFlow.
• Ability to design new algorithms for practical problems on real-world datasets.
• Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion.
• Ability to work efficiently and clear roadblocks in timely manner.
• Adaptability to fast-changing work environment.
• Strong communication skills and proactiveness for working in a cross-functional collaborative environment.
Company:
The Swoop® system brings MR brain imaging within reach. Founded in 2014, the company is headquartered in Guilford, Connecticut, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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