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Remote Machine Learning Robotics Jobs in Connecticut

The Hartford

Sr. Product Owner, Data Science

Hartford, CT · On-site +1

$111K - $166K/yr

Collaborate closely with data scientists, machine learning engineers, and other technical teams ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our ...

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

$182K - $273K/yr

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

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Remote Machine Learning Robotics information

What is a remote machine learning robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are popular job titles related to Remote Machine Learning Robotics jobs in Connecticut?

For Remote Machine Learning Robotics jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Robotics jobs in Connecticut look for?

The top searched job categories for Remote Machine Learning Robotics jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Machine Learning Robotics jobs?

Cities in Connecticut with the most Remote Machine Learning Robotics job openings:

Remote Machine Learning Robotics jobs near you
Infographic showing various Remote Machine Learning Robotics job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

AVP, AI (Data Science/Engineer) Remote - EST

Archgroup

Hartford, CT • Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book, combining frontier LLMs, multi-agent systems, retrieval-augmented generation (RAG), evaluation frameworks, and traditional machine learning.Our mission spans agentic automation, decision intelligence, AI-driven insights, and the responsible deployment of AI at scale. With a proven track record of productionizing dozens of high-quality GenAI products over the past three years, we are continuing to scale our impact and are seeking an AVP, AI Engineering to lead the design and application of advanced AI systems within Strategic Analytics.

Reporting to the SVP of AI & Automation, you will lead the development of multi-agent AI solutions that automate complex business decisions across underwriting and claims. This role is focused on applying AI, machine learning, and data science to solve high-value business problems, establish decision frameworks, and ensure AI systems deliver measurable outcomes with high levels of accuracy and trustworthiness.

Key Responsibilities

Lead the design of multi-agent AI systems that coordinate specialized models and agents to solve complex business problems.

Drive the end-to-end delivery of AI-powered underwriting and claims solutions from experimentation through production deployment.

Develop and evaluate decision frameworks that combine LLMs, retrieval systems, machine learning models, business rules, and human review.

Establish methodologies for measuring model performance, calibration, confidence, accuracy, and business impact to determine when automation is appropriate.

Define the conditions under which AI-driven decisions should be trusted, reviewed, or escalated.

Partner with cross-functional teams to integrate AI capabilities into business workflows and operational processes.

Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices.

Establish standards for AI evaluation, monitoring, governance, and continuous improvement within the AI & Automation Center of Excellence.

Translate business opportunities into scalable AI solutions that deliver measurable business value.

Required Skills and Experience

7+ years of experience in AI, machine learning, data science, analytics, or related disciplines.

3+ years of people leadership experience.

Demonstrated experience building and deploying production-grade AI, machine learning, or agentic systems beyond proof-of-concept work.

Strong track record of developing supervised learning models (ML and/or GLMs) that have delivered measurable financial impact.

Deep understanding of model evaluation, experimentation, statistical analysis, and decision science.

Strong experience evaluating AI technologies, platforms, and vendors.

Strong Python experience for data science, machine learning, and AI development.

Exceptional problem-solving skills with the ability to frame ambiguous business challenges as analytical and AI opportunities.

Strong communication skills with the ability to influence technical and non-technical stakeholders.

Hands-on experience with modern AI technologies, including LLMs, RAG, agentic systems, evaluation frameworks, and emerging AI tooling.

Desired Skills and Experience

Familiarity with P&C insurance, including underwriting, claims, or the submission lifecycle.

Experience with retrieval-augmented generation (RAG), evaluation frameworks, and structured-output techniques.

Experience applying AI and machine learning within enterprise environments.

Experience leading multidisciplinary teams across data science, AI, analytics, and technology functions.

Demonstrated commitment to staying current with advancements in AI through research, experimentation, publications, conference participation, or contributions to the AI community.

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience.

#LI-LH1

#LI-REMOTE

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$185,000 - $235,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC

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