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Associate Machine Learning Jobs in Connecticut (NOW HIRING)

Crateandbarrel

Sales Associate

Bridgeport, CT · On-site

$14.25 - $19.25/hr

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Crateandbarrel

Operations Associate, C&B

Westport, CT · On-site

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Crateandbarrel

Operations Associate, C&B

Westport, CT · On-site

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Crateandbarrel

Operations Associate, C&B

Bridgeport, CT · On-site

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Mpr Associates, Inc.

Summer/Co-op Engineer

East Lyme, CT · On-site

$1.0K - $1.4K/wk

... machine learning, quality assurance, and process development)) * Capital Project Management and ... MPR Associates, Inc. is an equal opportunity and affirmative action employer, who participates in E ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Connecticut

Associate Machine Learning information

See Connecticut salary details

$23.6K

$124.1K

$304.2K

How much do associate machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for associate machine learning in Connecticut is $124,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $172,000.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the most commonly searched types of Machine Learning jobs in Connecticut?

The most popular types of Machine Learning jobs in Connecticut are:

What cities in Connecticut are hiring for Associate Machine Learning jobs?

Cities in Connecticut with the most Associate Machine Learning job openings:

Associate Machine Learning jobs near you

Pharmaceutical Computational Scientist Pharmaceutical Computational Scientist Eurofins In-perso[...]

Seeds Renewables

Groton, CT • On-site

$100 - $125/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an associate scientist/scientist to join the SmartLab within Drug Product Design and Supply.

The successful candidate will develop and deploy automation and technology processes for pharmaceutical drug candidates in a laboratory setting.

Position Responsibilities:
  • The successful candidate will help design, prototype, and develop laboratory automation solutions for drug product development applications as part of a multi-disciplinary team.
  • Assist with the design and testing of modular hardware to facilitate data-rich experimentation.
  • Enable the use of digital tools for machine learning and self-optimization to enhance automation goals.
  • Develop novel solutions for the execution of laboratory experimentation.
  • Innovate with academic and industrial collaborators to identify unmet needs and develop novel solutions.
  • Partner with research scientists and engineers on suitable experimentation to deliver DPDS workflows for solid dosage form development.
  • Implement a robotic control system for the orchestration of multiple workstreams using modular laboratory equipment.
  • Enable data management systems to retrieve, process, and store relevant lab data from both manual and automated experiments.
  • Develop and implement data analytics tools for process optimization, process modeling, and visualization.
  • Participation with departmental initiatives, continuous improvement teams, scientific presentations, and external collaborations to influence the scientific and business impact of the group.
  • Experience in pharmaceutical R&D

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and the environment safer, healthier and more sustainable. From the food you eat to the medicines you rely on, Eurofins works with the biggest companies in ...

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