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Remote Machine Learning Engineer Biotech Jobs in Tennessee

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Senior AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Software Engineer, Data Privacy & De-Identification About the Company - Series A A rapidly growing ... Its platform supports a broad range of healthcare applications, including machine learning, medical ...

This role requires a strong technical background in AI and machine learning, combined with the ... I. program to identify opportunities for AI integration and engineer the scale required for ...

This role requires a strong technical background in AI and machine learning, combined with the ... I. program to identify opportunities for AI integration and engineer the scale required for ...

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

... Machine Learning applications. The Data Engineer, as a key member of the Enterprise Data and ... Analytics team, provides technical leadership for the definition, design, and delivery of First ...

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Remote Machine Learning Engineer Biotech information

What are some common challenges faced by remote machine learning engineers in the biotech industry, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

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

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What does a Remote Machine Learning Engineer do in the biotech industry?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
What are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Tennessee? For Remote Machine Learning Engineer Biotech jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Tennessee look for? The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Machine Learning Engineer Biotech jobs? Cities in Tennessee with the most Remote Machine Learning Engineer Biotech job openings:

VP, Head of Engineering Practice - Remote (Jersey City or Raleigh preferred)

Archgroup

Afton, TN • On-site, Remote

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 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.

Position Overview:

We are seeking a visionary and hands-on VP, Head of Engineering Practice to drive innovation across Engineering initiatives, shared services, and foundational frameworks. This role will be pivotal in shaping the engineering culture, establishing best practices, and delivering scalable, cloud-native solutions that power our enterprise platforms.

This is a hybrid, 3x per week, in-office position in our Jersey City or Raleigh Offices. We are also open to a fully remote hire with frequent travel to our Northeast offices.

Key Responsibilities:

  • Strategic Leadership & Governance:
    • Define and execute the engineering strategy for engineering initiatives and shared services
    • Facilitate Engineering Practice meetings with broad representation across teams, including Infrastructure and Security
    • Champion engineering excellence and modern development practices across the organization.
    • Lead workgroups/guilds focused on key engineering topics with defined charters and deliverables
    • Develop and maintain engineering policies and standards
  • Technology Delivery & Innovation:
    • Spearhead the creation of reusable libraries, templates, and frameworks to accelerate development across teams.
    • Lead the design and development of cloud-native, API-first applications with a strong emphasis on scalability, security, and performance.
    • Oversee reference implementations and participate in tool evaluations
    • Participate in architecture decisions and ensure alignment with enterprise standards and business objectives.
    • Drive adoption of DevOps, CI/CD, automated testing, and observability practices.
  • Innovation & Enablement:
    • Foster a culture of innovation and continuous improvement within engineering teams.
    • Collaborate with product and business leaders to identify opportunities for leveraging AI and emerging technologies.
    • Champion AI-driven solutions and integrate GenAI capabilities into engineering workflows (e.g., automated testing, release notes).
    • Establish engineering playbooks and best practices for full-stack development.
    • Build and mentor a team of Junior Engineers
    • Promote knowledge sharing and cross-functional collaboration.

Qualifications, Skills & Experience:

  • Proven experience as a Principal Engineer or senior technology leader with a strong hands-on full-stack background.
  • Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
  • Minimum 15+ years in software engineering, with at least 5 years in a senior technology leadership role.
  • Proven track record of leading large engineering teams and delivering complex enterprise solutions.
  • Expertise in Java, Spring Boot, Angular, and relational/non-relational databases.
  • Deep understanding of cloud-native architectures and API-first design principles.
  • Hands-on experience with Microsoft Azure and related services.
  • Strong knowledge of software engineering best practices, design patterns, and architectural principles.
  • Experience with microservices, containerization (Docker/Kubernetes), and event-driven architectures.
  • Demonstrated ability to lead large-scale engineering initiatives and deliver enterprise-grade solutions.
  • Experience in Insurance P&C domain is strongly preferred.
  • Familiarity in building AI-driven applications and integrating machine learning models into production systems
  • Excellent communication and leadership skills with the ability to influence at all levels.

#LI-Remote
#LI-ZP1

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.

$180,000 - $250,000/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.

14400 Arch Insurance Group Inc.