1

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

Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure ...

Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure ...

Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines * Automate and ... Strong Python, Java, and/or Scala experience will be considered a plus. * Hands-on- experience with ...

Senior AI ML Engineer

Wallingford, CT

$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/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development . Recent college grads with this experience through ...

Lead AI Engineer (ML Ops)

Stamford, CT · Hybrid

$109K - $143K/yr

Strong DevOps background, including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipeline automation. * Advanced programming skills in Python, with deep familiarity in ML ...

Lead AI Engineer (ML Ops)

Stamford, CT · Hybrid

$109K - $144K/yr

Strong DevOps background, including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipeline automation. * Advanced programming skills in Python, with deep familiarity in ML ...

Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ... engineering/LLM optimization, AI agent architectures. * Collaborative leader who thrives in ...

Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ... engineering/LLM optimization, AI agent architectures. * Collaborative leader who thrives in ...

Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ... engineering/LLM optimization, AI agent architectures. * Collaborative leader who thrives in ...

Comscore, Total Visits, March 2025) Day to Day As a Software Engineer IV (ML) on the Machine ... Expertise in Python and modern ML frameworks like PyTorch & Triton. * Experience with AWS SageMaker ...

You will work closely with software engineers, AI/ML engineers, product managers, and data teams to ... Write clean, efficient, and well-documented code in Python or another modern programming language.

... 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 ... 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 ...

next page

Showing results 1-20

Python Ml Developer information

See Bridgeport, CT salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for python ml developer in Bridgeport, CT is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 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.

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.

What are popular job titles related to Python Ml Developer jobs in Bridgeport, CT? For Python Ml Developer jobs in Bridgeport, CT, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Bridgeport, CT look for? The top searched job categories for Python Ml Developer jobs in Bridgeport, CT are:
What cities near Bridgeport, CT are hiring for Python Ml Developer jobs? Cities near Bridgeport, CT with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Bridgeport, CT as of May 2026, with employment types broken down into 81% Full Time, 9% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $123,977 per year, or $59.6 per hour.

Other

Posted 22 days ago


Job description

ML Engineer

Stamford, Connecticut, United States

About the Job

Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.

By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.

About Us

Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients' recruitment operations.

We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.

Location: New York, NY

Work type: Full Time

Compensation: above market base + bonus + equity

Roles & Responsibilities
  • Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
  • Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
  • Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
  • Build agents capable of operating natively on real-world audio inputs.
  • Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
  • Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
  • Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
  • Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 1-6 years of professional experience in ML engineering.
  • Strong programming skills in Python (TypeScript experience is a plus).
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Familiarity with cloud environments and infrastructure (preferably AWS).
  • Strong understanding of data pipeline design, real-time inference, and model monitoring.
  • Excellent communication skills with the ability to engage directly with customers and stakeholders.
Core Experience
  • Proven experience building and deploying ML models into production environments.
  • Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
  • Experience with audio-focused ML projects or similar domains involving unstructured data.
  • Proficiency in building scalable data pipelines for model training and evaluation.
  • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
  • Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.