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Python Ml Developer Jobs in Bristol, CT (NOW HIRING)

AI Solutions Architect

East Granby, CT · On-site

$100K - $130K/yr

Familiarity with Python ML libraries, feature engineering, model lifecycle management, and AI governance * AI & Machine Learning: Familiarity with Python ML libraries, feature engineering, model ...

Familiarity with Python ML libraries, feature engineering, model lifecycle management, and AI governance * AI & Machine Learning: Familiarity with Python ML libraries, feature engineering, model ...

Senior AI ML Engineer

Wallingford, CT · On-site

$104K - $143K/yr

AI/ML Engineer Location: Mason, OH / Plano TX / Atlanta, GA / Cleveland, OH / Indianapolis, IN ... Strong Python expertise with experience building and deploying production-grade backend systems

AI Agent ML Engineer

Hartford, CT · On-site

$165K - $190K/yr

Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools. * Experience in business process analysis, process mapping, and workflow ...

Strong proficiency in Python with experience building production ML or LLM systems * Hands-on ... Data: Snowflake, Databricks, Postgres, Redis * DevOps: Docker, Terraform, GitHub Actions, CI/CD ...

Roles We Help You Land • Java Full Stack DeveloperDevOps & Cloud EngineerPython/Java Software Programmer • Data Analyst, Data Scientist • Data Engineer & ML Engineer Preferred Skills ...

Strong knowledge of ML algorithms, NLP/NLU techniques, transformers, embeddings, and evaluation ... Strong Python engineering skills for building orchestration, pipelines, and backend services.

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

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Python Ml Developer information

See Bristol, CT salary details

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$58

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How much do python ml developer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for python ml developer in Bristol, CT is $58.70, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $66.68 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Bristol, CT look for? The top searched job categories for Python Ml Developer jobs in Bristol, CT are:
What cities near Bristol, CT are hiring for Python Ml Developer jobs? Cities near Bristol, CT with the most Python Ml Developer job openings:
AI Solutions Architect

AI Solutions Architect

Kinsley Group

East Granby, CT • On-site

$100K - $130K/yr

Full-time

Posted 27 days ago


Job description

Description:

The Kinsley Group is seeking an AI Solutions Architect to lead the design, implementation, and governance of the organization’s enterprise data, analytics, and AI ecosystem. This role is responsible for centralizing data, semantic models, analytics, and governance under IT, while enabling scalable, trusted, and AI-ready holistic solutions across the organization.


The AI Solutions Architect owns the enterprise data and analytics architecture, establishes data governance and semantic standards, and develops an AI Strategy Roadmap with an executable delivery plan aligned to business priorities. This role serves as a strategic bridge between IT, business leadership, and operational teams—ensuring data is governed, reusable, secure, and positioned to support advanced analytics and future AI initiatives. Core platforms may include Microsoft Fabric, Power BI, and Microsoft Purview.


Key Responsibilities:

AI Strategy, Architecture & Enablement
The architect aligns AI strategy with business objectives, manages delivery and drives automation and analytics improvements responsibly.

  • Align AI strategy with the organization’s business goals and current data maturity.
  • Maintain clear, actionable AI delivery plans that prioritize operational efficiency and organizational value.
  • Establish production-ready, governed AI architecture for scalable deployment.
  • Direct use cases focused on automation and analytics improvements to drive business value.

Leadership, Collaboration & Execution
The AI Solutions Architect leads data, analytics, and AI initiatives, aligning solutions with business goals and guiding teams.

  • Serve as the technical and strategic lead for AI initiatives and data analytics.
  • Partner with executives, IT, and business leaders to ensure alignment with organizational objectives.
  • Executes and takes ownership of technical implementation and strategic execution of AI initiatives.
  • Ensure efficient, high-integrity delivery of initiatives that create measurable business value.
  • Clearly explain technical concepts to audiences with varying levels of expertise.

Enterprise Data & Analytics Architecture
The AI Solutions Architect develops secure, scalable enterprise data architecture and manages the central Microsoft Fabric data platform.

  • Define and manage enterprise data architecture to support organizational growth and protect sensitive information.
  • Oversee the centralized data platform on Microsoft Fabric, ensuring seamless integration and accessibility.
  • Standardize semantic models to provide consistent metrics and KPIs across the organization.
  • Design integration patterns that accommodate a variety of data sources, supporting both legacy and modern systems.
  • Identify and assess the integration or application of emerging technologies to explore potential business opportunities.
  • Enable advanced analytics and AI/ML workloads by creating robust, scalable, and flexible data architecture.

Data Governance, Quality & Compliance
This role leads data governance, sets ownership and standards for quality and compliance, oversees Microsoft Purview, and drives data remediation.

  • Lead data governance by defining ownership, standards, and policies for enterprise data assets.
  • Manage Microsoft Purview to support data cataloging and governance activities.
  • Enforce data quality standards and coordinate remediation processes when necessary.
  • Promote governance through effective documentation and ongoing training initiatives.
  • Oversee the data architecture to help deliver certified datasets and reliable reporting solutions.
  • Balance self-service analytics opportunities with centralized controls to maintain data integrity.
  • Deliver reusable, enterprise-grade analytics solutions for consistent business insights.

Technology Stack & Programming Languages

  • Core Platforms: Microsoft Fabric, Power BI, Microsoft Purview, Azure Data Platform
  • Preferred Programming & Query Languages: SQL, Python, PySpark / Spark SQL, DAX, KQL
  • AI & Machine Learning: Familiarity with Python ML libraries, feature engineering, model lifecycle management, and AI governance
  • AI & Machine Learning: Familiarity with Python ML libraries, feature engineering, model lifecycle management, AI governance, and development of voice or chatbots leveraging natural language processing techniques.

Required Qualifications:

  • High school diploma, bachelor's degree, or relevant experience in Computer Science, Data Science, Information Systems, or a related field.
  • 3+ years of experience in data architecture, analytics platforms, or enterprise data engineering.
  • Strong expertise in data architecture, data modeling, and semantic layer design.
  • Experience implementing data governance frameworks, preferably using Microsoft Purview.
  • Strong proficiency in SQL and working knowledge of Python.
  • Excellent communication, collaboration, and stakeholder management skills.

Preferred Qualifications:

  • Experience with Microsoft Fabric, Power BI, and Azure-based data platforms.
  • Experience enabling or supporting AI/ML solutions in an enterprise environment.
  • Familiarity with operational, telemetry, or externally sourced data domains.
  • Understanding of responsible AI, data ethics, and regulatory considerations.
  • Experience with conversational AI, copilots, or automation platforms.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Requirements: