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Entry Level Machine Learning Engineer Jobs in Glastonbury, CT

Python Tutor

Hartford, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Manufacturing Engineer I

Chester, CT · On-site

$73K - $95K/yr

Still learning the fundamentals of the Manufacturing Engineering Production Support role ... Basic machine shop experience and knowledge of measurement techniques Physical demands and ...

Be Seen First

Urgent opportunity to join an established manufacturing company in an entry level production role ... S., in the Manufacturing, Architecture, Engineering, Utility and Construction industries. Our team ...

CNC Milling Machinist

Bloomfield, CT

$22 - $29.25/hr

... machine setups on 3, 4 and 5 axis machines, has G & M code knowledge, and is able to run and ... Interested in learning with, and from, engineering and programming team to improve operations ...

CNC Milling Machinist

Bloomfield, CT · On-site

$22 - $29.25/hr

... machine setups on 3, 4 and 5 axis machines, has G & M code knowledge, and is able to run and ... Interested in learning with, and from, engineering and programming team to improve operations ...

CNC Milling Machinist

Bloomfield, CT · On-site

$22 - $29.25/hr

... machine setups on 3, 4 and 5 axis machines, has G & M code knowledge, and is able to run and ... Interested in learning with, and from, engineering and programming team to improve operations ...

CNC Milling Machinist

Bloomfield, CT · On-site

$22 - $29.25/hr

... machine setups on 3, 4 and 5 axis machines, has G & M code knowledge, and is able to run and ... Interested in learning with, and from, engineering and programming team to improve operations ...

This role offers a unique opportunity for an entry-level electrical engineer to receive hands-on ... You will build on your strong technical foundation and passion for learning to develop a long-term ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Glastonbury, CT salary details

$30K

$69.3K

$117.9K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level machine learning engineer in Glastonbury, CT is $69,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What cities near Glastonbury, CT are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Glastonbury, CT with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Glastonbury, CT as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $69,333 per year, or $33.3 per hour.

Technology Development Program (TECDP) - Infrastructure & Cloud Engineering Track

Cigna

Bloomfield, CT • On-site

$100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 239 frontline employees who took The Breakroom Quiz

40th of 888 rated healthcare providers


Job description

Our Technology Development Program (TECDP) empowers early-career technologists to build meaningful skills while transforming how millions experience healthcare. TECDP is a two-year program designed to build technical expertise and a holistic understanding of how technology fuels transformation across the healthcare industry. Associates join a technical track aligned to their interests and career goals, gaining hands-on experience, expanding their technical acumen, and collaborating across disciplines to solve real-world challenges in healthcare.
The Infrastructure & Cloud Engineering Track is designed for individuals passionate about maintaining scalable, resilient systems across on-prem and cloud environments. You'll work with the latest in automation, containerization, and hybrid cloud to support customers and providers.
What you'll do
  • Meaningful Work: Contribute to the design, deployment, and support of secure, scalable infrastructure and cloud environments while gaining experience with cloud platforms, automation, and enterprise systems that support healthcare innovation at The Cigna Group.
  • Learn by Collaborating: Partner with peers, mentors, and cross-functional teams through collaborative projects and community initiatives. You'll learn through collaboration while supporting innovation, recruiting, onboarding, and engagement efforts.
  • Structured Learning: Grow through a blend of core and track-specific curriculum, including technical training, leadership development, and business exposure to support your development as a well-rounded technologist.
  • Community & Connection: Build strong relationships across the organization through networking, mentorship, cross-functional collaboration, and informal peer engagement that support both personal and professional growth.

Qualifications
  • Candidates must have participated in and completed a Cigna Group internship prior to applying for this position.
  • Education: Must have completed a bachelor's or master's degree in a technical program at the time of hire. Preferred degrees include Computer Science, Cloud Computing, Information Technology, Computer Engineering, Network and Systems Engineering.
  • Technical Proficiencies:
    • Cloud Engineering: Familiarity with cloud platforms (AWS, Azure, GCP), infrastructure-as-code tools (Terraform), containerization (Docker, Kubernetes), CI/CD pipelines, and cloud security and performance monitoring.
    • Infrastructure: Exposure to include system administration (Windows), virtualization, scripting (Python, Bash, PowerShell), and tools for monitoring, configuration management, and network troubleshooting.
  • Courses & Experiences: Academic coursework, research, or internships focused on machine learning, natural language processing, computer vision, or generative AI. Exposure to real-world applications of AI in healthcare or other industries is a plus.
  • Well Rounded: Leadership or involvement in clubs, organizations, or technical competitions such as Hackathons, AI challenges, or research symposiums.

Desired Skills & Competencies
  • Clear Communication: Effectively share ideas with technical and non-technical audiences.
  • Collaboration & Inclusion: Build strong relationships and work well on diverse teams.
  • Critical Thinking: Analyze complex problems and create innovative solutions.
  • Curiosity: Understand how technology supports healthcare and connects to business goals.
  • Strength-Based Leadership: Leverage personal and team strengths to drive results.
  • Growth Mindset: Pursue continuous learning and career development.
  • Technology Fluency & Ethics: Use foundational and emerging technologies responsibly to deliver value.

Additional Information
  • Location: This position is based in the following office location: Bloomfield, CT. The role requires a hybrid work schedule, with a minimum of three days per week working onsite (Tuesday, Wednesday, and one additional day of the employee's choice), and the option to work the remaining days remotely. Relocation assistance is not offered, and employees must be able to meet the onsite schedule for their assigned office location.
  • Schedule: Full-time, 40 hours/week, Monday-Friday starting February 15, 2027, or July 12, 2027.
  • Work Authorization: One goal of this leadership development program is to prepare and identify qualified candidates for leadership roles with The Cigna Group upon program completion. Therefore, this position is open only to individuals who are eligible for employment in the United States and who do not now, or in the future, require visa sponsorship including, but not limited to, H-1B, CPT/OPT/STEM.
  • Timeline: Process includes a recruiter screen and up to two interviews. Application window closes by mid-October 2026 or once filled.
  • Compensation: Expected base salary is $88,000 for bachelor's graduates and $100,000 for master's graduates, plus competitive benefits.
  • Pre-Employment Requirements: Selected candidates will be required to complete mandatory pre-employment tasks approximately 45 days prior to the program start date. Completion of the drug test requires availability within the United States during this timeframe.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 72,400 - 120,600 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

What Cigna Healthcare employees say

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About Cigna

Sourced by ZipRecruiter

Cigna Corporation exists to improve lives. We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation. When you work with us, or one of our subsidiaries, you'll enjoy meaningful career experiences that enrich people's lives.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Bloomfield, CT, US

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