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Machine Learning Engineer Associate Jobs in Guilford, CT

Staffingine LLC

Generative AI Architect

Orange, CT · On-site

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

TRUMPF Group

Field Service Engineer

Farmington, CT · On-site

$27.94 - $44.24/hr

  • Medical

  • Dental

  • Retirement

  • PTO

... machines * submit organized and helpful service reports for each repair mission * Pay range: $27.94 - $44.24 Experience and Education for Field Service Engineer * Associates program or technical ...

TRUMPF

Field Service Engineer

Farmington, CT

$27.94 - $44.24/hr

  • Medical

  • Dental

  • Retirement

  • PTO

... machines * submit organized and helpful service reports for each repair mission * Pay range: $27.94 - $44.24 Experience and Education for Field Service Engineer * Associates program or technical ...

TRUMPF

Field Service Engineer

Farmington, CT · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

... machines submit organized and helpful service reports for each repair mission Experience and Education for Field Service Engineer Associates program or technical school degree in Engineering ...

knightsofc

Senior Applied AI & Data Scientist

New Haven, CT · Hybrid

$207K/yr

  • 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.

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Guilford, CT

Machine Learning Engineer Associate information

See Guilford, CT salary details

$42.2K

$84.1K

$134.4K

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

As of Aug 18, 2026, the average yearly pay for machine learning engineer associate in Guilford, CT is $84,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $96,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

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:

What are popular job titles related to Machine Learning Engineer Associate jobs in Guilford, CT?

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

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

The top searched job categories for Machine Learning Engineer Associate jobs in Guilford, CT are:

What cities near Guilford, CT are hiring for Machine Learning Engineer Associate jobs?

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

Machine Learning Engineer Associate jobs near you

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT • On-site

$100K - $205K/yr

Full-time

Posted 19 days ago

Job description

Job Title: Python Software Engineer – Financial EngineeringPosition Overview
We are an Portfolio Risk Analytics Company seeking a highly skilled Python Software Engineer with a strong background in financial engineering to design, develop, and maintain quantitative financial applications. The ideal candidate has experience building analytical tools, pricing models, trading systems, or risk management platforms using Python and modern software engineering practices.
Responsibilities
  • Design, develop, and maintain Python applications for financial analysis and quantitative modeling.
  • Build and optimize pricing, valuation, and risk management models for financial instruments.
  • Develop data pipelines for processing market, economic, and alternative data.
  • Implement and maintain backtesting frameworks for trading and investment strategies.
  • Collaborate with quantitative researchers, traders, portfolio managers, and software engineers.
  • Optimize code for performance, scalability, and reliability.
  • Integrate applications with market data providers, databases, and APIs.
  • Write clean, maintainable, and well-documented code.
  • Develop automated testing and deployment pipelines.
  • Monitor production systems and troubleshoot technical issues.
Required Qualifications
  • Bachelor's, Master's, PhD's degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering, or a related quantitative field.
  • 3+ years of professional Python development experience.
  • Strong knowledge of object-oriented programming and software design principles.
  • Experience with financial engineering concepts, including:
    • Derivative pricing
    • Fixed income analytics
    • Portfolio optimization
    • Risk management
    • Time series analysis
  • Experience with Python libraries such as:
    • NumPy
    • Pandas
    • SciPy
    • Statsmodels
    • scikit-learn
  • Experience working with SQL databases.
  • Familiarity with REST APIs and cloud platforms.
  • Experience using Git and CI/CD workflows.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience developing algorithmic trading systems.
  • Knowledge of stochastic calculus, Monte Carlo simulation, and numerical optimization.
  • Familiarity with financial data providers (S&P, Bloomberg, Refinitiv, ICE, Polygon.io, etc.).
  • Experience with distributed computing or high-performance computing.
  • Knowledge of Docker, Kubernetes, or cloud infrastructure (AWS, Azure, or GCP).
  • Experience with machine learning applied to financial markets.
  • Familiarity with C++, Rust, or Java is a plus.
Technical Skills
  • Python
  • NumPy
  • Pandas
  • SciPy
  • SQL
  • Git
  • Linux
  • Docker
  • REST APIs
  • Financial Modeling
  • Quantitative Finance
  • Risk Analytics
  • Time Series Analysis
Desired Personal Attributes
  • Strong quantitative reasoning
  • Excellent communication skills
  • Attention to detail
  • Ability to work independently and collaboratively
  • Passion for financial markets and technology
  • Commitment to writing high-quality, maintainable software
Nice-to-Have Experience
  • Quantitative research
  • Options pricing
  • Fixed income analytics
  • Portfolio construction
  • Market risk or credit risk systems
  • Backtesting platforms
  • Financial data engineering
  • AI/ML applications in finance