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

Bespoke Labs

Machine Learning Engineer

Hartford, CT

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Hamden, CT

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Hartford, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Waterbury, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

ClifyX

MLOps Engineer

Hartford, CT · On-site

ClifyX is seeking an MLOps Engineer to enhance their machine learning operations. The primary ... Python, PySpark and Snowflake) • Bash/Shell Scripting and SQL and ML Libraries Pandas, NumPy ...

Applied Aerospace & Defense

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

... AI/ML capabilities. In alignment with current industrys best practices, this role integrates ... Data Architecture and Business Intelligence Design and optimize scalable SQL and Python-based data ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$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 ...

MDAEdge

.Net Software Engineering Manager

Hartford, CT · On-site

... Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing); 5+ years managing engineering ... Preferred : • 3+ years with AI/ML and GenAI preferred. • AI/ML (preferred) Company : The world ...

Infosys

AI Engineer

Hartford, CT · On-site

Required : • Strong programming skills in Python • Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain • Expertise In Generative AI, Including RAG (Retrieval-Augmented ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

Required Skill and Experience Strong programming skills in Python Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain Expertise in Generative AI, including: RAG (Retrieval ...

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

Strong proficiency in programming languages such as Python, TypeScript, or Rust. * Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data pipelines. * Deep ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

Required Skill and Experience Strong programming skills in Python Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain Expertise in Generative AI, including: RAG (Retrieval ...

Bespoke Labs

Data Engineer

Waterbury, CT · On-site

$117K - $140K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

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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

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How much do python ml developer jobs pay per hour?

As of Aug 6, 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.

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

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 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 August 2026, with employment types broken down into 2% Internship, 84% Full Time, 7% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $122,095 per year, or $58.7 per hour.

Machine Learning Engineer

Bespoke Labs

Hartford, CT

Full-time

Re-posted 20 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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