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Senior Machine Learning Engineer Jobs in Farmington, CT

Hartford, CT As a Machine Learning Engineer, you will be responsible for creating machine learning models and retraining systems. You will work closely with AI Architects, Cloud Engineers, and a CRM ...

Machine Learning Tutor

Hartford, CT ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

New Haven, CT ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior Data Engineer

Bloomfield, CT ยท On-site

$105K - $143K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Senior AI Scientist

Guilford, CT ยท On-site

$160K - $185K/yr

You will introduce new algorithms and machine learning models that solve difficult imaging tasks ... Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help ...

Senior AI Scientist

Guilford, CT ยท On-site

$160K - $185K/yr

You will introduce new algorithms and machine learning models that solve difficult imaging tasks ... Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help ...

You will introduce new algorithms and machine learning models that solve difficult imaging tasks ... Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help ...

AI Solutions Engineering Delivery Lead

Hartford, CT ยท On-site

$103K - $136K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a senior technical leader, you will leverage deep technical specialization, strategic vision ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Lead Forward Deployed Engineer - AWS

Hartford, CT ยท On-site

$103K - $136K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

... learning. Internship Duatlon: Onsite in Farmington, CT from January 2027 to August 2027 for at ... Engineering, Experience with software packages like MS Word, MS Access, MS Power Point, Visio ...

... learning. Internship Duatlon: Onsite in Farmington, CT from January 2027 to August 2027 for at ... Engineering, Experience with software packages like MS Word, MS Access, MS Power Point, Visio ...

... learning. Internship Duatlon: Onsite in Farmington, CT from January 2027 to August 2027 for at ... Engineering, Experience with software packages like MS Word, MS Access, MS Power Point, Visio ...

Showing results 41-60

Senior Machine Learning Engineer information

See Farmington, CT salary details

$63.1K

$134.2K

$194.6K

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

As of Sep 5, 2026, the average yearly pay for senior machine learning engineer in Farmington, CT is $134,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $152,200.00 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 cities near Farmington, CT are hiring for Senior Machine Learning Engineer jobs?

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

AI/ML Engineer

UnifyX LLC

East Hartford, CT โ€ข On-site

Other

Posted 4 days ago


Job description

Software Engineer โ€“ AI/ML

Location:  Hartford, CT

As a Machine Learning Engineer, you will be responsible for creating machine learning models and retraining systems. You will work closely with AI Architects, Cloud Engineers, and a CRM Development Team (such as Salesforce). Your role will involve working with GenAI models like Gemini, GPT-4, and others, as well as traditional machine learning models from the NLP/Deep Learning discipline. A key part of your role will be evaluating models and maintaining ethical responsibilities.

The ideal candidate is a tech-savvy professional with an in-depth understanding of machine learning models and technologies. They must be able to work collaboratively with a diverse team and have a solution-oriented mindset. They should also have a strong commitment to maintaining ethical standards in their work.

Responsibilities

  • Collaborate with AI Architects, Cloud Engineers, and a CRM Development Team to design and implement machine learning models and systems.
  • Work with GenAI models like Gemini and GPT-4, as well as traditional machine learning models from the NLP/Deep Learning discipline.
  • Retrain existing models and systems to ensure their accuracy and efficiency.
  • Evaluate machine learning models and ensure they adhere to ethical standards.
  • Stay current with the latest trends and technologies in machine learning and artificial intelligence.
  • Provide technical support and guidance to the development team on machine learning-related issues.
  • Troubleshoot any issues related to machine learning systems and conduct regular system tests to ensure their functionality and efficiency.
  • Document all procedures and systems related to the machine learning infrastructure for future reference and audits.

Required Skills

  • 4-year Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • Proven experience as a Machine Learning Engineer or similar role.
  • Strong knowledge of GenAI models (Gemini, GPT-4) and traditional machine learning models from the NLP/Deep Learning discipline.
  • Proficiency in Python development.
  • Experience working with AI technologies and cloud platforms (Google Cloud Platform (Google Cloud Platform)).
  • Excellent problem-solving and troubleshooting skills.
  • Ability to work collaboratively with a diverse team of engineers, architects, and developers.

Nice to Have

Machine Learning certifications.

Experience in a Healthcare Payer enterprise.

Experience with CRM platforms, such as Salesforce.

Knowledge of data privacy regulations and best practices.

Experience training team members on machine learning technologies and applications.

Strong communication and project management skills.