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Junior Machine Learning Engineer Jobs in Madison, CT

Socket.dev

Senior Applied AI & Data Scientist

New Haven, CT · On-site

$122 - $207.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role blends advanced analytics, machine learning, and generative AI (LLMs) with strong product and engineering execution operating within a governed, enterprise-scale data and AI ecosystem.

Varsity Tutors

Data Science Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Iberdrola

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Proficiency in machine learning (ML) and AI models. * Experience in Generative AI, including experience with frameworks such as TensorFlow, PyTorch, or similar. * Proficiency in programming languages ...

BL COMPANIES INC

Civil Engineer - Project Manager

Meriden, CT · Hybrid

$83K - $111K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor junior engineers and staff, fostering a strong learning environment. Required Experience & Qualifications: * PE License required * 10+ years of experience in land development engineering

Iberdrola

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Proficiency in machine learning (ML) and AI models. * Experience in Generative AI, including experience with frameworks such as TensorFlow, PyTorch, or similar. * Proficiency in programming languages ...

Iberdrola

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Proficiency in machine learning (ML) and AI models. * Experience in Generative AI, including experience with frameworks such as TensorFlow, PyTorch, or similar. * Proficiency in programming languages ...

Varsity Tutors

Python Tutor

New Haven, 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 ...

Vancord

Be Seen First

Network Engineer

Milford, CT · On-site

$70K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a junior member of the security engineering team, you will support the project pipeline by assisting with testing activities, contributing to report development, and learning the full lifecycle of ...

Trilon

Senior Water Resources Engineer

New Haven, CT · Hybrid

  • Medical

  • PTO

Mentor junior staff and contribute to team knowledge-sharing and development * Participate in ... Continuous Learning : Access to online courses, conferences, and learning materials to fuel your ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Madison, CT

Junior Machine Learning Engineer information

See Madison, CT salary details

$31.3K

$67.2K

$102.4K

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

As of Aug 16, 2026, the average yearly pay for junior machine learning engineer in Madison, CT is $67,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $74,800.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs

What job categories do people searching Junior Machine Learning Engineer jobs in Madison, CT look for?

The top searched job categories for Junior Machine Learning Engineer jobs in Madison, CT are:

What cities near Madison, CT are hiring for Junior Machine Learning Engineer jobs?

Cities near Madison, CT with the most Junior Machine Learning Engineer job openings:

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Madison, CT as of June 2026, with employment types broken down into 84% Full Time, 10% Part Time, 3% Contract, and 3% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $67,154 per year, or $32.3 per hour.

Senior Applied AI & Data Scientist

Knights of Columbus - Council 11091

New Haven, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Feel Good About Doing Good
The Knights of Columbus is a tax-exempt Catholic fraternal benefit society that provides financial security to members and their families through our life insurance, long-term care insurance, disability income insurance, investment and annuity products. Charity is at the core of our missions: our profits are donated to help those in need and to support our faith - $1.73B over the past ten years.
While we have many employees who are not Catholic, we follow the Church's teachings in our investment strategies and our employee benefits. As part of our religious mission, we support the pro-life cause by contributing to the March for Life and pregnancy resource centers, we oppose assisted suicide and euthanasia, we are evangelists for the Catholic faith, and we help Christians who are facing religious persecution in the Middle East. We all work together to support our two million members as they volunteer to help others in their parishes and communities around the world.
Share Your Talent. Live Your Purpose.
We are a growing and purpose-driven community of professionals. Join us to discover how you can meet your goals and ours!
#LI-Hybrid
Overview
The Senior Applied AI & Data Scientist is a senior-level individual contributor who designs, builds, evaluates, and deploys AI-powered solutions that deliver measurable business outcomes across Life Insurance, Investments, Membership, and Charities. This role blends advanced analytics, machine learning, and generative AI (LLMs) with strong product and engineering execution operating within a governed, enterprise-scale data and AI ecosystem.
Reporting to the Director of Applied AI & Data Science, this role partners closely with business stakeholders, data analysts, engineers, and Data & AI architects to translate complex questions into explainable and production-ready capabilities. You will build solutions using Snowflake, PostgreSQL, and approved AI platforms including Retrieval Augmented Generation (RAG), agentic workflows, and decision support analytics with clear responsible AI controls suitable for regulated environments.
Core Responsibilities
  • Own end-to-end delivery of AI solutions from problem framing and exploratory analysis through production deployment and measurement.
  • Design and deliver LLM-enabled analytics and "Deep Research" capabilities using RAG over structured and unstructured enterprise data.
  • Build agentic workflows and multi-step orchestration (tool use, function calling, retrieval, and guardrails) to automate business processes.
  • Develop and deploy advanced statistical and machine learning models supporting insurance, actuarial, claims, risk, and investment decision-making.
  • Engineer features and context: build reusable feature pipelines, embeddings, vector search patterns, and semantic/metadata strategies.
  • Define success criteria and evaluation plans: offline tests, human-in-the-loop review, and online measurement (A/B or phased rollout).
  • Productionize and operate models: partner with engineers to implement CI/CD, monitoring, drift detection, prompt/version management, and incident response runbooks.
  • Apply responsible AI practices consistently: bias and fairness assessment, transparency, documentation (model cards), and audit-ready controls.
  • Communicate insights and tradeoffs clearly to executives and technical teams (risk, compliance, security) and influence decisions with data.
  • Contribute to reusable standards and patterns for MLOps/LLMOps across the enterprise (templates, libraries, and governance checklists).

Skills Qualifications
Required:
  • Strong Python and SQL skills; experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch/TensorFlow) and data science best practices.
  • Hands-on experience with Snowflake (Snowpark and/or Cortex) and relational databases such as PostgreSQL.
  • Experience with vector search/embeddings and knowledge retrieval patterns; familiarity with vector databases and hybrid search.
  • Experience partnering with engineering on production services (APIs, batch/stream pipelines), monitoring, and CI/CD.
  • Ability to define and run robust evaluation for models/LLMs (quality, safety, performance, cost) and translate into business KPIs.

Preferred:
  • Financial services experience (life insurance, annuities, investments preferred) and familiarity with regulated model governance.
  • Experience with legacy-to-cloud data modernization (e.g., IBM DB2 extracts) and integration tools (e.g., Talend) where relevant.
  • Experience with ML lifecycle tooling (e.g., MLflow or equivalent), containerization (Docker), and API frameworks (FastAPI/Flask).

Education
Required:
  • 6+ years delivering advanced analytics and machine learning solutions, including production deployment.
  • 2+ years delivering GenAI/LLM solutions (RAG, agents, evaluation/guardrails) in an enterprise environment.

Compensation
The wage range for this role takes into account a broad array of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The range below applies as long as the work is performed in Connecticut; the Knights of Columbus reserves the right to adjust the wage range if the position is performed in another location. At the Knights of Columbus, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 - $207,500.
Authorization to work in the United States is required.
This position is not eligible for visa sponsorship.
Physical Demands
Must be able to remain in a stationary position for a majority of the workday.
KofC Cares
Our mission is focused on family and faith, and we support our employees in seeking a balanced life.
Employee benefits include:
Time Away: 13 paid holidays per year in addition to vacation and paid sick leave, and flexible workweek schedules.
Professional Development: Certifications, designation, and tuition reimbursement.
Retirement Benefits: 401(k) retirement savings plan with matching company contributions, and cash balance retirement plans fully funded by the company.
Health and Wellness:
  • Short-term disability and term life insurance fully paid for by the company;
  • Up to 12 weeks of childbirth leave under STD policy.
  • One week of fully paid parental leave for all new parents, including adoptive and foster parents.
  • A variety of health insurance options, including premium-level family coverage and a pre-tax Health Savings Account with employer contributions. The Order's health plans do not cover abortion, sterilization, or contraception, and the Order has helped advocate for other employers who do not want to provide coverage.
  • Long-term disability insurance;
  • Dental insurance;
  • Vision insurance;
  • Health club membership reimbursement;
  • Employee Assistance Program

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