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Machine Learning Engineer Jobs in Hamden, CT (NOW HIRING)

Senior AI Scientist

Guilford, CT · On-site

$156K - $179K/yr

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 ...

Data Scientist

Meriden, CT · On-site

$60 - $64/hr

Proven experience in data analysis, statistical modeling, and machine learning. * Proficiency in programming languages such as Python, R, or SQL. * Strong problem-solving skills and attention to ...

Experience with DevOps practices for machine learning, including CI/CD for AI systems, containerization (Docker), and orchestration (Kubernetes). Additional Skills: * Solid understanding of cloud ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Machine Learning (ML) * Natural Language * Python (Programming Language) * Reinforcement Learning * Researching * Scientific Writing * Statistical Models * Technical Leadership #J-18808-Ljbffr

QA Engineer - AI Trainer

New Haven, CT · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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Showing results 1-20

Machine Learning Engineer information

See Hamden, CT salary details

$31.3K

$128K

$192.4K

How much do machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer in Hamden, CT is $128,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,100.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Hamden, CT are hiring for Machine Learning Engineer jobs? Cities near Hamden, CT with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Hamden, CT as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,021 per year, or $61.5 per hour.
Senior AI Scientist

Senior AI Scientist

Hyperfine

Guilford, CT • On-site

$156K - $179K/yr

Full-time

Re-posted 18 days ago


Job description

About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop® system—the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More


About The Role

Job Title: Senior AI Scientist

Location: Guilford, Connecticut

The Senior AI Scientist is a talented and experienced Scientist with applied experience in Machine Learning who will innovate and expand our product capabilities. The goal of this role is to develop techniques that solve a wide range of challenging scientific and clinical problems in MRI aimed at improving patient outcomes. You will introduce new algorithms and machine learning models that solve difficult imaging tasks, make our models more accurate and robust, and introduce entirely new approaches.

Key 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.

Knowledge, Skill & Abilities:

  • 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.

Required Education & Experience:

  • 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.

Physical Demands:

  • This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT.
  • Available nights, weekends, and holidays as business needs require.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

The annual base salary for this position is between $156,000 - $179,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.


Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.