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Contract Machine Learning Engineer Jobs in Willimantic, CT

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

Showing results 41-60

Contract Machine Learning Engineer information

See Willimantic, CT salary details

$29.8K

$121.9K

$183.2K

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

As of Aug 12, 2026, the average yearly pay for contract machine learning engineer in Willimantic, CT is $121,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $146,700.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are the most commonly searched types of Machine Learning Engineer jobs in Willimantic, CT? The most popular types of Machine Learning Engineer jobs in Willimantic, CT are:
What are popular job titles related to Contract Machine Learning Engineer jobs in Willimantic, CT? For Contract Machine Learning Engineer jobs in Willimantic, CT, the most frequently searched job titles are:

Data Science Team Lead - Sr. Principal Engineer - Commercial DPHM P5 (Onsite)

Prattwhitney

East Hartford, CT • On-site

$132.40 - $251.60/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

What You Will Do

Control & Diagnostic Systems (CDS) is a dynamic engineering organization focused on the development and certification of military, commercial and industrial gas turbine engine control and diagnostic systems. CDS is responsible for all aspects of Pratt & Whitney engine control and diagnostic system development including requirements analysis and definition, system and software architecture, algorithm design, and product software design, verification and validation. We integrate the control and diagnostic system design across other engine system modules and with the air vehicles and provide support throughout the complete engine product life cycle.

The Diagnostics, Prognostics & Health Management (DPHM) discipline within CDS develops and maintains systems that ingest and process engine data, tools that provide secure and efficient access, and analytics that generate critical insights and alerts to keep the commercial fleet operating reliably and efficiently. Commercial DPHM is seeking a Data Science Technical Team Lead to guide the development of advanced diagnostics, prognostics, and engine health monitoring analytics supporting commercial fleet operations. This leader will drive technical direction, mentor a multidisciplinary data science team, and help shape the next generation of commercial health monitoring capabilities.

This role provides technical leadership in designing robust analytics, data science, machine learning, and AI solutions to solve complex engine‑health and physics‑based problems. Success in this role requires expertise in statistics, data science, machine learning, and AI techniques, strong domain understanding, and the ability to collaborate closely with stakeholder teams to ensure models and analytics accurately reflect engine behavior and operational realities. The position is based at the P&W East Hartford facility and is an onsite role.

Key Responsibilities
  • Lead development of advanced DPHM analytics using statistical modeling, physics‑informed approaches, machine learning, and AI applied to operational fleet data.
  • Serve as the primary technical expert for the team’s most challenging analytical problems, shaping solutions from concept through validation and deployment.
  • Define and advance analytic methods, modeling standards, validation practices, and technical best practices across the Commercial DPHM data science team.
  • Provide technical mentoring, coaching, and review for other data scientists to strengthen overall team capability.
  • Collaborate across multidisciplinary teams to ensure analytics align with engine physics, system behavior, and customer needs.
  • Ensure deployed analytics meet expectations for accuracy, robustness, and reliability, and support continuous performance monitoring and improvement.
  • Contribute to long‑term analytic strategy, capability development, and roadmap planning for Commercial DPHM.
Qualifications

You Must Have:

  • Bachelors’ Degree in Science, Technology, Engineering or Mathematics (STEM)
  • 10 years engineering experience or an advanced Degree with 7 years prior engineering experience

We Prefer:

  • Expertise in a variety of statistics, data science, machine learning, and AI techniques
  • Expertise with Python and core data science/modeling libraries
  • Experience developing analytics for operational, real‑world, or safety‑critical applications
  • Expertise in analyzing, modeling, and interpreting time series data
  • Experience with MLOps practices, including model versioning, automated testing, CI/CD for analytics, and managing models throughout their lifecycle
  • Experience providing technical guidance or mentorship to other data scientists
  • Experience deploying to cloud‑based applications
  • Experience deploying to edge compute hardware
  • Knowledge of gas turbine engines and their operation
  • Knowledge of and exposure to aerospace control and diagnostic systems
What We Offer

Salary range: 132,400 USD – 251,600 USD. Compensation may include annual short‑term and/or long‑term incentive programs depending on level and agreement.

  • Medical, dental, and vision insurance
  • Life insurance
  • Short‑term disability and long‑term disability
  • 401(k) match and flexible spending accounts
  • Flexible work schedules and employee assistance program
  • Employee Scholar Program, parental leave, paid time off, and holidays
  • Relocation assistance

Benefits eligibility is dependent on the specific business unit and applicable collective‑bargaining agreement. RTX provides incentive compensation programs based on individual and company performance.

Equal Opportunity Statement

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other applicable state or federal protected class.

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