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Flexible Remote Machine Learning Engineer Jobs in Bridgeport, CT

EMCOR Group, Inc.

AI Engineer

Norwalk, CT · On-site +1

Two years minimum hands-on experience developing or implementing AI, machine learning, generative ... flexible spending accounts, life insurance, disability, a 401(k) Savings Plan, College Coach and ...

EMCOR Group, Inc.

AI Engineer

Norwalk, CT · On-site +1

Two years minimum hands-on experience developing or implementing AI, machine learning, generative ... flexible spending accounts, life insurance, disability, a 401(k) Savings Plan, College Coach and ...

Varsity Tutors

Data Science Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Norwalk, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsMachine Learning Engineer JobsFlexible Remote Machine Learning Engineer JobsFlexible Remote Machine Learning Engineer Jobs in Bridgeport, CT

Flexible Remote Machine Learning Engineer information

See Bridgeport, CT salary details

$32K

$130.9K

$196.7K

How much do flexible remote machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for flexible remote machine learning engineer in Bridgeport, CT is $130,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $157,600.00 per year, depending on experience, location, and employer.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

What is the difference between Flexible Remote Machine Learning Engineer vs Data Scientist?

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are the key skills and qualifications needed to thrive as a flexible remote machine learning engineer?

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.
What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Bridgeport, CT? For Flexible Remote Machine Learning Engineer jobs in Bridgeport, CT, the most frequently searched job titles are:
What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Bridgeport, CT look for? The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Bridgeport, CT are:
Flexible Remote Machine Learning Engineer jobs near you

Director, Engineering (Remote)

North American Partners in Anesthesia (NAPA)

Melville, NY • On-site, Remote

$190K - $262K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

North American Partners in Anesthesia rating

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Melville,NY - USA
Position Requirements
The Director, Engineering provides strategic and operational leadership for software engineering, enterprise integrations, automation, and AI capabilities. This leader is responsible for building high-performing engineering teams, delivering secure and scalable technology solutions, and establishing engineering standards that support NAPA's business strategy. The role partners across Technology and the business to accelerate innovation, operational efficiency, and digital transformation.
PRIMARY RESPONSIBILITIES
Strategic Leadership
  • Define and execute the engineering roadmap aligned to business and technology priorities.
  • Establish engineering standards, architecture principles, and modern development practices.
  • Evangelize AI engineering strategy by identifying, evaluating, and operationalizing emerging AI, machine learning, generative AI, and intelligent automation capabilities that improve business outcomes.
  • Define and drive the enterprise integration strategy, ensuring secure, scalable, API-first integration capabilities across clinical, operational, and corporate platforms.
  • Drive continuous improvement initiatives that enhance engineering effectiveness, delivery velocity, platform reliability, and business value.

Engineering Management
  • Build, lead, and develop high-performing engineering managers and technical teams.
  • Foster a culture of accountability, innovation, continuous improvement, and engineering excellence.
  • Manage organizational design, staffing, and resource planning.

Technology Delivery
  • Deliver secure, scalable, and reliable software, integration, automation, and AI solutions.
  • Partner with Product, Architecture, Infrastructure, Security, Data, and PMO to prioritize and execute strategic initiatives.
  • Drive adoption of Agile, DevOps, SDLC, and engineering governance practices.
  • Accelerate adoption of AI-enabled/ automation (UIPath) capabilities across products and business processes while ensuring appropriate governance, compliance, and measurable business outcomes.
  • Monitor engineering metrics to improve productivity, quality, and customer satisfaction.

Operational Excellence
  • Establish engineering metrics, governance, and performance reporting.
  • Manage engineering budgets, vendor relationships, and technology investments.
  • Ensure compliance with security, privacy, and regulatory requirements while improving platform reliability.
  • Operational Excellence
  • Establish engineering metrics, governance, and performance reporting.
  • Manage engineering budgets, vendor relationships, and technology investments.
  • Ensure compliance with security, privacy, and regulatory requirements while improving platform reliability.

Cross-Functional Collaboration
  • Collaborate with executive and business leaders to align technology investments with organizational priorities.
  • Communicate engineering strategy, delivery progress, and business outcomes.
  • Champion enterprise adoption of reusable platforms, APIs, automation, and AI capabilities.

REQUIRED QUALIFICATIONS
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field required.
  • 10+ years of progressive engineering experience.
  • 5+ years of leadership experience managing engineering managers and technical teams.
  • Experience leading large-scale technology initiatives and complex engineering organizations.
  • Demonstrated success developing engineering strategy and delivering enterprise technology solutions.

DESIRED/PREFERRED QUALIFICATIONS
  • Master's degree (MBA, Engineering, Computer Science, or related discipline) preferred.

Total Rewards
  • Generous benefits package, including:
    • Salary: $190K - $262K annually
    • Paid Time Off
    • Health, life, vision, dental, disability, and AD&D insurance
    • Flexible Spending Accounts/Health Savings Accounts
    • 401(k)
    • Leadership and professional development opportunities

EEO Statement
North American Partners in Anesthesia is an equal opportunity employer.

What North American Partners in Anesthesia employees say

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About North American Partners in Anesthesia

Sourced by ZipRecruiter

North American Partners in Anesthesia (NAPA) is a well-regarded name in the healthcare industry, with its headquarters based in Melville, NY, US. As suggested by its name, the company specializes in providing anesthesia services. The firm was established in 1986, with a primary commitment to ensure the highest quality patient care through strong leadership in anesthesia and industry-leading processes. NAPA operates with a mission to deliver the finest anesthesia care in the nation by fostering a culture that prioritizes quality, efficiency, communication, and patient safety.

Industry

Health care and social assistance

Company size

201 - 500 Employees

Headquarters location

Melville, NY, US

Year founded

1986

Social media

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