ZipRecruiter

Log In

2

Remote Machine Learning Jobs in Colchester, CT (NOW HIRING)

UnitedHealth Group

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

If you reside near Hartford, CT , you'll enjoy the flexibility of a hybrid-remote position* as you take on some tough challenges. Primary Responsibilities: * Design, develop, and deploy AI-powered ...

next page

Showing results 1-20

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Colchester, CT

Remote Machine Learning information

See Colchester, CT salary details

$25.4K

$42.5K

$87.8K

How much do remote machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote machine learning in Colchester, CT is $42,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What cities near Colchester, CT are hiring for Remote Machine Learning jobs? Cities near Colchester, CT with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Software Engineer

Software Engineer

UnitedHealth Group

Hartford, CT • Remote

$72K - $130K/yr

Full-time

Retirement

Posted 12 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 885 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

If you reside near Hartford, CT, you'll enjoy the flexibility of a hybrid-remote position* as you take on some tough challenges. 

Primary Responsibilities:

  • Design, develop, and deploy AI-powered solutions to solve complex business problems and improve operational efficiency

  • Build and scale agentic systems that perform multi-step workflows using reasoning, tool integration, and context retrieval

  • Develop and optimize RAG (Retrieval-Augmented Generation) pipelines, including document ingestion, embeddings, and semantic search

  • Integrate AI capabilities into enterprise systems via APIs, microservices, and backend services

  • Establish and promote engineering standards and best practices for AI development, including code quality, reusability, and governance

  • Partner with product, data, and engineering teams to identify high-value AI use cases and translate them into scalable solutions

  • Implement prompt engineering, orchestration, and model interaction patterns to improve output quality and reliability

  • Ensure AI solutions are production-ready with proper monitoring, logging, observability, and performance optimization

  • Evaluate emerging AI tools, platforms, and frameworks to drive continuous innovation and improve development efficiency

  • Mentor team members and support adoption of AI/GenAI technologies across engineering teams

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
  • 2 years of experience building and deploying AI/ML or generative AI solutions in production or enterprise environments
  • 2 years of experience in Python for building AI services, APIs, and backend systems
  • 2 years Hands-on experience developing agentic workflows (multi-step reasoning, tool usage, orchestration, or automation flows)
  • 2 years of experience building RAG-based solutions, including embeddings, vector search, and retrieval pipelines
  • 2 years of experience in familiarity with LLM frameworks (e.g., LangChain, LangGraph, or similar)
  • 2 years of experience integrating AI solutions with APIs, databases, and enterprise systems
  • 2 years of experience with evaluation and debugging of AI systems, including improving accuracy, grounding, and reliability
  • 2 years of experience in problem-solving skills and ability to translate business requirements into technical AI solutions

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

   

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

    

    

#RPO #YELLOW

What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply