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

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation ... AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex. * CI/CD and DevOps ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation ... AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex. * CI/CD and DevOps ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation ... AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex. * CI/CD and DevOps ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation ... AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex. * CI/CD and DevOps ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation ... AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex. * CI/CD and DevOps ...

FAVARH

AI Principal Engineer

Hartford, CT · On-site

$191K - $239K/yr

Strong proficiency in programming languages such as Python, TypeScript, or Rust * Experience with AI/ML frameworks, LLM technologies, and data pipelines * Knowledge of model lifecycle management ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation ... AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex. * CI/CD and DevOps ...

PCX Aerostructures, LLC

Data Engineer

Newington, CT · On-site

$114K - $137K/yr

... AI/ML capabilities. In alignment with current industry's best practices, this role integrates ... Design and optimize scalable SQL and Python-based data transformations, algorithms, and analytics ...

Subway

Sr. Data Engineer

Newtown, CT · On-site

$109K - $148K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

Subway

Sr. Data Engineer

Naugatuck, CT

$107K - $146K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

Subway

Sr. Data Engineer

Cheshire, CT

$106K - $145K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

Subway

Sr. Data Engineer

Woodbury, CT

$104K - $141K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

Subway

Sr. Data Engineer

Waterbury, CT · On-site

$108K - $147K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

Subway

Sr. Data Engineer

Woodbridge, CT · On-site

$110K - $150K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

Subway

Sr. Data Engineer

Hamden, CT

$105K - $143K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

Subway

Sr. Data Engineer

Wallingford, CT · On-site

$106K - $144K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Bristol, CT

Python Ml Developer information

See Bristol, CT salary details

$13

$58

$86

How much do python ml developer jobs pay per hour?

As of Jul 13, 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 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What cities near Bristol, CT are hiring for Python Ml Developer jobs? Cities near Bristol, CT with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Bristol, CT as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $122,095 per year, or $58.7 per hour.
Sr Data Engineer

Sr Data Engineer

subway

Shelton, CT

$106K - $144K/yr

Other

Medical, Life, Retirement

Posted 14 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,026 frontline employees who took The Breakroom Quiz

96th of 103 rated fast food restaurants

Job description

 

Sr Data Engineer - Shelton, CT

Ready to build what’s next with one of the world’s most iconic brands? 

Why Join Subway? 

At Subway, we are not standing still. We are building. 

This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact. 

You will not just do the work. You will shape it. 

We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world. 

If you bring energy, accountability and a bias for action, you will fit right in. 

We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day. 

This is your chance to be part of what’s next. 

About the Role: 

The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing, building, and evolving Subway’s enterprise data platform on Snowflake or Databricks. This role serves as a technical authority and builder, driving Lakehouse architecture, engineering frameworks, and best practices across multiple data domains. The Sr Data Engineer operates with a high degree of autonomy, leading through working code and influence — shipping reference implementations, POCs, and platform-level solutions that other teams build upon. 

Responsibilities include but not limited to: 

  • Personally design and build reference implementations and production-grade frameworks on Databricks or Snowflake.
  • Design lakehouse platforms using Delta Lake or Iceberg Tables with Medallion (Bronze/Silver/Gold) architecture.
  • Define and evolve enterprise data standards, patterns, and reusable accelerators.
  • Ensure solutions align with data governance, security, scalability, and cost-efficiency standards.
  • Evaluate technologies through hands-on benchmarking — not vendor decks.
  • Build the first working version of complex pipelines, frameworks, and POCs (ingestion, CDC, streaming, DQ, observability, CI/CD).
  • Drive emerging tech (Iceberg, Lakeflow, Openflow, Cortex, Mosaic AI) from POC to production rollout.
  • Solve high-complexity performance, cost, and governance challenges at petabyte scale.
  • Identify and address systemic technical debt and architectural risks.
  • Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming.
  • Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex.
  • Partner with Data Science and Analytics teams to operationalize models and AI workflows.
  • Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.
  • Translate business needs into sound technical direction backed by working prototypes.
  • Communicate technical trade-offs, risks, and decisions clearly to technical and non-technical stakeholders.
  • Influence roadmaps and platform investments through technical insight and de-risking POCs.
  • Mentor Senior and Staff Data Engineers through pair-programming, PR reviews, and design coaching.
  • Raise engineering maturity by shipping working examples and codifying patterns.
  • Foster a culture of technical excellence, learning, and continuous improvement. 

Qualifications (some examples listed below): 

  • Exceptional hands-on expertise in Databricks or Snowflake lakehouse platforms.
  • Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation.
  • Proven experience building Medallion architecture with Delta Lake or Iceberg Tables. 
  • Real-time and batch streaming experience (Lambda or Kappa) using Databricks DLT or Snowflake Dynamic Tables / Snowpipe Streaming. 
  • Hands-on with orchestration tools — Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt experience a plus.
  • Strong data modeling skills (Dimensional, Data Vault, schema design).
  • Performance and cost tuning expertise (clustering, partitioning, Z-ordering, warehouse/cluster sizing, FinOps). 
  • Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage, access control, and data quality.
  • Semantic layer experience using Databricks AI/BI Genie / Unity Catalog Metrics or Snowflake Semantic Views / Cortex Analyst.
  • AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex.
  • CI/CD and DevOps fluency — Git, Databricks Asset Bundles or Snowflake CLI / Schemachange, automated testing.
  • Cloud ecosystem expertise — AWS (S3, Glue, Kinesis), Azure, or GCP.
  • Excellent communication and technical storytelling ability.
  • Comfortable operating across ambiguity and complex stakeholder environments. 
  • Education: Bachelor’s degree required (Computer Science, Engineering, or related field); advanced degree preferred.
  • Experience: 3-5 years of professional data engineering experience, with proven track record leading architecture and hands-on build for enterprise-scale data platforms, operating in complex or mission-critical data environments, and influencing multiple teams and platforms without direct authority.
  • Travel Requirements: Minimal to moderate (up to 10%, as business needs require). 

What do we offer? 

  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More….. 

 

Compensation: The base pay range for this role is $102,700 - $128,400 annually

Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.

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