ZipRecruiter

Log In

2

Remote Bioinformatics Machine Learning Jobs in Acworth, GA

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Unum UK

Data Scientist II - CX Analytics

Atlanta, GA · On-site +1

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Conducts end-to-end machine learning tasks from problem synthesis to model deployment. * Data ...

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

YO AI Labs

SolidWorks Expert - Remote

Atlanta, GA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

American Software

Client Executive - West

Atlanta, GA · On-site +1

$73K - $100K/yr

... and machine learning to help deliver integrated planning and operations across the end-to-end ... Must successfully complete and clear a criminal background check #LI-Remote Equal Opportunity ...

American Software

Client Executive - Midwest

Atlanta, GA · On-site +1

$73K - $100K/yr

... and machine learning to help deliver integrated planning and operations across the end-to-end ... Must successfully complete and clear a criminal background check #LI-Remote Equal Opportunity ...

Kaizen Analytix LLC

Data Scientist

Atlanta, GA · On-site +1

$60/hr

Contract Location : Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global ... machine learning, artificial intelligence, or other heuristics • Expert programmer in two or more ...

previous page

Showing results 41-60

All JobsBioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Acworth, GA

Remote Bioinformatics Machine Learning information

See Acworth, GA salary details

$53.1K

$84.3K

$133.5K

How much do remote bioinformatics machine learning jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote bioinformatics machine learning in Acworth, GA is $84,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $115,600.00 per year, depending on experience, location, and employer.

What is a remote bioinformatics machine learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

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

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What cities near Acworth, GA are hiring for Remote Bioinformatics Machine Learning jobs?

Cities near Acworth, GA with the most Remote Bioinformatics Machine Learning job openings:

Remote Bioinformatics Machine Learning jobs near you
Infographic showing various Remote Bioinformatics Machine Learning job openings in Acworth, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $84,332 per year, or $40.5 per hour.

Forward Deployed AI Engineer 2026 - US (Remote)

Atlanta, GA • Remote

Aimpoint Digital
51 - 200 employees
Learn more about Aimpoint Digitalexternal

Full-time

Re-posted 15 days ago

Job description

Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications. 

We are not a commodity consulting firm. We are a technical partner to organizations that need to move beyond experimentation and deploy AI into real business workflows with the architecture, governance, reliability, and engineering discipline required for production. 

We believe successful AI initiatives require much more than prompting an LLM. They require strong software engineering, scalable architecture, reliable deployment, thoughtful evaluation, and disciplined engineering practices. 

About the Role 

As a Forward Deployed AI Engineer, you will work directly with clients to design, build, deploy, and scale enterprise AI solutions. You will combine strong software engineering fundamentals with modern AI technologies to deliver production-ready systems that create measurable business value. 

You will work across the entire AI engineering lifecycle; from solution architecture and application development to deployment, evaluation, and operationalization. 

What You Will Do 

  • Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows 
  • Translate business problems into scalable technical solutions using modern AI engineering best practices 
  • Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems 
  • Build multi-agent systems, AI agents, workflow automation, and decision-support systems 
  • Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance 
  • Design AI systems that integrate with enterprise data platforms, APIs, databases, messaging systems, and business applications 
  • Collaborate with cross-functional client teams including engineering, data, product, architecture, security, and business stakeholders 
  • Experience deploying and operating containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring 
  • Contribute reusable accelerators, frameworks, technical assets, and thought leadership that strengthen the AI Engineering practice 
  • Stay current with emerging AI technologies and recommend practical approaches that improve client outcomes 

What We Are Looking For 

We are looking for engineers who enjoy solving difficult technical problems and building production software. You are comfortable moving between software engineering, AI application development, cloud architecture, and client collaboration. 

You understand that successful AI systems require excellent engineering, not just excellent models. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience 
  • 3+ years of professional software engineering experience building production applications  
  • 1+ years designing and deploying AI or machine learning solutions into production 
  • Strong programming experience using Python, Java, C#, Go, TypeScript, or similar languages 
  • Experience building scalable backend systems, APIs, or distributed applications. 
  • Experience developing AI applications using modern LLMs, machine learning models, or intelligent automation solutions 
  • Experience with online and offline evaluation, observability, context engineering, guardrails, and AI governance 
  • Experience with MLOps, LLMOps, or production deployment pipelines 
  • Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design 
  • Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other comparable coding harnesses 
  • Experience integrating AI applications with enterprise data sources, APIs, and business systems 
  • Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar technologies 
  • Experience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologies 
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders 
  • Ability to independently own technical workstreams while collaborating across multidisciplinary teams 

Preferred Qualifications 

One or more of the following is a plus: 

  • Experience developing production APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, and Express 
  • Experience building multi-agent systems, AI automated workflows, agents, semantic search, vector databases, or knowledge graph retrieval applications 
  • Experience designing distributed systems, concurrency, or high-scale cloud applications 
  • Experience deploying AI solutions serving 1000+ users 
  • Consulting experience or experience working directly with enterprise customers 
  • Experience building data pipelines, including ETL, ELT, batch, and streaming pipelines for analytics and AI applications 
  • Experience pre-training or fine-tuning LLMs 

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.