Machine Learning Engineer
Norwalk, CT · On-site
They are seeking a Machine Learning Engineer to join their Data Science team, where the role involves developing innovative solutions using machine learning and advanced statistical methods to ...
Machine Learning Engineer
Norwalk, CT · On-site
They are seeking a Machine Learning Engineer to join their Data Science team, where the role involves developing innovative solutions using machine learning and advanced statistical methods to ...
Machine Learning Engineer
Hamden, 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 ...
Machine Learning Engineer
Hamden, 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 ...
Machine Learning Engineer
New Haven, 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 ...
Machine Learning Engineer
New Haven, 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 ...
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 ...
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 ...
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 ...
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 ...
Machine Learning Engineer
Norwalk, 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 ...
Machine Learning Engineer
Norwalk, 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 ...
Machine Learning Engineer
Bridgeport, 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 ...
Machine Learning Engineer
Bridgeport, 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 ...
Machine Learning Engineer
Danbury, 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 ...
Machine Learning Engineer
Danbury, 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 ...
Machine Learning Engineer
Stamford, 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 ...
Machine Learning Engineer
Stamford, 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 ...
AI Machine Learning Engineer
Hartford, CT · On-site
$100K - $151K/yr
The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industry-leading AI and ...
AI Machine Learning Engineer
Hartford, CT · On-site
$100K - $151K/yr
The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industry-leading AI and ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
AI Machine Learning Engineer
Hartford, CT · Hybrid
$100K - $151K/yr
The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...
AI Machine Learning Engineer
Hartford, CT · Hybrid
$100K - $151K/yr
The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...
Senior AI Machine Learning Engineer
Hartford, CT · Hybrid
$123K - $162K/yr
As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...
Senior AI Machine Learning Engineer
Hartford, CT · Hybrid
$123K - $162K/yr
As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...
Freelance Machine Learning Engineer information
See Connecticut salary details
$22.38 is the 25th percentile. Wages below this are outliers.
$14.18 - $24.32
31% of jobs
The median wage is $30.58 / hr.
$24.32 - $34.47
31% of jobs
$34.47 - $44.61
4% of jobs
$53.49 is the 75th percentile. Wages above this are outliers.
$44.61 - $54.76
10% of jobs
$54.76 - $64.90
9% of jobs
$64.90 - $75.05
5% of jobs
$75.05 - $85.19
0% of jobs
$85.19 - $95.34
8% of jobs
$95.34 - $105.48
0% of jobs
$105.48 - $115.63
0% of jobs
$115.63 - $125.77
1% of jobs
$14
$45
$125
How much do freelance machine learning engineer jobs pay per hour?
As of Jul 14, 2026, the average hourly pay for freelance machine learning engineer in Connecticut is $45.38, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $58.75 per hour, depending on experience, location, and employer.
What does a Freelance Machine Learning Engineer do?
A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.
What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Engineer, and why are they important?
To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.
How do freelance machine learning engineers typically manage client expectations and project scopes?
Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.
What is the difference between Freelance Machine Learning Engineer vs Data Scientist?
| Aspect | Freelance Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Typically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plus | Usually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common |
| Work Environment | Independent, project-based work often remotely for various clients | Often employed full-time in organizations or consulting roles, sometimes freelance |
| Industry Usage | Used across tech, finance, healthcare, and startups for deploying ML models | Applied in research, analytics, and strategic decision-making across industries |
Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.
What are the most commonly searched types of Machine Learning Engineer jobs in Connecticut? The most popular types of Machine Learning Engineer jobs in Connecticut are:
What are popular job titles related to Freelance Machine Learning Engineer jobs in Connecticut? For Freelance Machine Learning Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Engineer jobs in Connecticut look for? The top searched job categories for Freelance Machine Learning Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Freelance Machine Learning Engineer jobs? Cities in Connecticut with the most Freelance Machine Learning Engineer job openings:
Full-time
Re-posted yesterday
Job description
Job Summary:
Graham Capital Management, L.P. is an alternative investment manager specializing in discretionary and quantitative macro strategies. They are seeking a Machine Learning Engineer to join their Data Science team, where the role involves developing innovative solutions using machine learning and advanced statistical methods to support quant strategies and enhance data insights for stakeholders.
Responsibilities:
• You will be part of a growing team within Data Science.
• You will work alongside world-class talent to find innovative solutions to some of the most interesting problems in the buy-side.
• You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions.
• Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund.
Qualifications:
Required:
• Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline
• 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets
• Experience writing production code for multi-client systems serving model results is a great plus
• Ability to clearly communicate research findings to technical and nontechnical stakeholders
• Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments
• Experience with scientific computing, statistics, optimization, time series, panel data, etc.
• Comfortable handling multiple projects to solve varied problems working with multiple teams
• Detail-oriented mindset
• Sense of ownership of his/her work, working well both independently as well as collaboratively
Company:
Who We Are & What We Do: Graham Capital Management, L.P. Founded in 1994, the company is headquartered in Norwalk, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Graham Capital Management, L.P. is an alternative investment manager specializing in discretionary and quantitative macro strategies. They are seeking a Machine Learning Engineer to join their Data Science team, where the role involves developing innovative solutions using machine learning and advanced statistical methods to support quant strategies and enhance data insights for stakeholders.
Responsibilities:
• You will be part of a growing team within Data Science.
• You will work alongside world-class talent to find innovative solutions to some of the most interesting problems in the buy-side.
• You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions.
• Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund.
Qualifications:
Required:
• Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline
• 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets
• Experience writing production code for multi-client systems serving model results is a great plus
• Ability to clearly communicate research findings to technical and nontechnical stakeholders
• Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments
• Experience with scientific computing, statistics, optimization, time series, panel data, etc.
• Comfortable handling multiple projects to solve varied problems working with multiple teams
• Detail-oriented mindset
• Sense of ownership of his/her work, working well both independently as well as collaboratively
Company:
Who We Are & What We Do: Graham Capital Management, L.P. Founded in 1994, the company is headquartered in Norwalk, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Graham Capital Management
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
51 - 200 Employees
Headquarters location
Norwalk, CT, US
Year founded
1994