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

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

The Hartford

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

Bachelor's Degree in Business preferred This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT) will have the expectation of ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management, and monitoring of our fleet of devices and ingestion, storage, visualization, and retrieval of data ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management, and monitoring of our fleet of devices and ingestion, storage, visualization, and retrieval of data ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management, and monitoring of our fleet of devices and ingestion, storage, visualization, and retrieval of data ...

Cardinal Health

Software Engineer

Hartford, CT · Remote

... LI-Remote Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values ...

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All 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 Jun 8, 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 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.

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.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.
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
AVP Applied AI, Small Business

AVP Applied AI, Small Business

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 25 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

52nd of 260 rated insurance

Job description

AVP Data Science - GD05AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford's Business Insurance. This role partners closely with underwriting, product, actuarial, and technology leaders to deliver scalable, production ready models and -AI driven- decision systems that support complex risks, bespoke products, and profitable growth across specialty markets.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities:
  • Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or value streams. Translate enterprise and Small Business AI priorities into multi-year portfolio roadmaps and investment plans.
  • Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval-augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.
  • Lead and develop high performing teams of AI scientists and engineers. Build leadership bench strength through succession planning, coaching, and capability development. Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio. Reinforce shared expectations for quality, evaluation rigor, and production readiness.
  • Provide portfolio-level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence. Ensure consistent adoption of approved AI standards, patterns, and guardrails.
  • Review and thoughtfully evaluate portfolio-level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade-offs across quality, grounding, latency, cost, scalability, and regulatory risk.
  • Accountable for consistent application of evaluation and monitoring practices across the portfolio. Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs. Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure-mode analysis, and incident response expectations. Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.
  • Set portfolio-level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout-aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability. Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.
  • Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced. Escalate material risks, trade-offs, and investment decisions to VPs with clear options and implications.
  • Partner with senior leaders across the Business, Technology, Transformation Office, Finance, and HR to align Applied AI delivery with business outcomes. Influence portfolio funding, prioritization, and workforce planning through evidence-based assessments of delivery performance, evaluation outcomes, and risk considerations.
  • Oversee portfolio-level planning, dependencies, resourcing, and financial stewardship. Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes. Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.

Skills
  • Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.
  • Proven ability to lead teams, building durable leadership capacity and consistent operating discipline across organizations.
  • Strong technical and regulatory fluency across applied AI, including generative and agentic AI, retrieval-augmented systems, evaluation and monitoring practices, and production AI operations, sufficient to review, inform, and govern senior-level decisions.
  • Applied understanding of unstructured data and retrieval approaches, including document ingestion pipelines, OCR, layout-aware extraction, embeddings, hybrid and dense retrieval, reranking, metadata and lineage management, and PII controls.
  • Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance-by-design expectations.
  • Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi-year horizons.
  • Ability to influence VPs and senior partners through clear, data-driven communication of technical trade-offs, evaluation outcomes, portfolio risks, and business impact.

Education, Experience, Certifications and Licenses
  • 12+ years of applicable experience with a Bachelor's degree; fewer years may be accepted with a higher degree. Master's or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.
  • 7-10+ years leading leaders, large portfolios, or complex programs.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$182,400 - $273,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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