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Machine Learning Engineer Jobs in Birmingham, AL

Forward Deployed Engineer

Birmingham, AL · On-site

$105K - $132K/yr

Forward Deployed Engineer Are you looking for an opportunity to make an impact at a fast-growing ... Our second and newest product, ApolloCore™, is a complementary machine learning solution that ...

Forward Deployed Engineer

Birmingham, AL · On-site

$105K - $132K/yr

Forward Deployed Engineer Are you looking for an opportunity to make an impact at a fast-growing ... Our second and newest product, ApolloCore™, is a complementary machine learning solution that ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

Machine learning techniques * Data mining * Statistical analysis * Translate business requirements into technical data solutions Data Engineering & Integration Support * Work with ETL processes and ...

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

Machine learning techniques * Data mining * Statistical analysis * Translate business requirements into technical data solutions Data Engineering & Integration Support * Work with ETL processes and ...

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

Machine learning techniques * Data mining * Statistical analysis * Translate business requirements into technical data solutions Data Engineering & Integration Support * Work with ETL processes and ...

... for machine learning and data science workflows. This role helps ensure geospatial data is ... Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source ...

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Prepare data pipelines to enable machine learning workflows DevOps & Modern Engineering Practices * Implement CI/CD pipelines for data engineering deployments * Work within Agile development ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Showing results 41-60

Machine Learning Engineer information

See Birmingham, AL salary details

$29.5K

$120.7K

$181.3K

How much do machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning engineer in Birmingham, AL is $120,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $145,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Birmingham, AL?

The most popular types of Machine Learning Engineer jobs in Birmingham, AL are:

What are popular job titles related to Machine Learning Engineer jobs in Birmingham, AL?

For Machine Learning Engineer jobs in Birmingham, AL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Birmingham, AL look for?

The top searched job categories for Machine Learning Engineer jobs in Birmingham, AL are:

What cities near Birmingham, AL are hiring for Machine Learning Engineer jobs?

Cities near Birmingham, AL with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Birmingham, AL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $120,681 per year, or $58 per hour.

Forward Deployed Engineer

Tocaro Blue

Birmingham, AL • On-site

$105K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago


Key responsibilities

  • Deploy and test ProteusCore™ and ApolloCore™ systems in the field, resolving issues related to networking, perception, sensor fusion, and system performance.

  • Perform system installation, integration, and troubleshooting of power, networking, sensor, and compute subsystems on client vessels and maritime platforms.

  • Own dockside and sea trials by preparing vessels, installing hardware and software, and validating system performance in operational environments.


Job description

Forward Deployed Engineer

Are you looking for an opportunity to make an impact at a fast-growing, investor-backed AI/ML company and take cutting-edge AI perception technology out of the lab and into the field? Tocaro Blue is seeking a versatile Forward Deployed Engineer (FDE) to be on the road as the link between our ProteusCore™ and ApolloCore™ platforms and real-world mission success. You will be responsible for deploying and integrating our systems in operationally relevant maritime environments—directly supporting customers in the field, primarily on Unmanned Surface Vessel (USV) programs. This will be a hands-on forward deployed role with extensive travel requirements.

Tocaro Blue is transforming maritime technology by modernizing legacy marine radar systems through innovative software solutions. Our flagship product, ProteusCore™, is an advanced software platform that integrates marine Radar data with artificial intelligence and machine learning models to deliver real-time situational awareness and support vessel autonomy systems. Our second and newest product, ApolloCore™, is a complementary machine learning solution that enhances marine EO/IR cameras with stabilization, object detection, and tracking to extend real-time perception and situational awareness across both radar and electro-optical sensors.

Role Summary

We're seeking a hands-on engineer to join our team in an essential role supporting the forward deployment and implementation of our AI perception systems on client platforms. In this position, you'll be responsible for client integration support and the customization of Tocaro Blue software products to ensure success on client vessels and missions.

This role sits at the intersection of marine technology and artificial intelligence, offering the opportunity to work with unique sensors and contribute to cutting-edge autonomous systems for maritime applications.

Responsibilities

  • Serve as a multidisciplinary field engineer responsible for the mechanical, electrical, and software integration of ProteusCore™, ApolloCore™, and marine sensor payloads onto client vessels, USVs, and maritime platforms
  • Deploy and test ProteusCore™ and ApolloCore™ in the field, identifying and resolving issues related to networking, perception, sensor fusion, and system performance in real-world maritime conditions
  • Perform system installation, integration, and troubleshooting of power, networking, sensor, and compute subsystems, including high-performance GPU edge hardware
  • Own dockside and sea trials—prepare vessels, install new hardware and software packages, and perform system validation in operationally relevant environments
  • Analyze performance data from real-world missions and deployments, using insights to drive improvements to software performance
  • Work directly with operators and end-users, gathering feedback and adapting the system to operational requirements
  • Collaborate with cross-functional teams—including our ML engineering, product, and field operations personnel—to evolve and harden system designs and enhance product capabilities
  • Document deployment procedures, best practices, and debugging workflows to improve system reliability and scale our deployment operations
  • Providing product-use and troubleshooting assistance to clients based on your own on-water experiences

Required qualifications

  • Bachelor’s Degree in a relevant field such as ocean engineering, mechanical engineering, electrical engineering, computer science, naval architecture or a related field
  • Two years of experience in Information Technology, specifically experience configuring Local Networks (e.g. using NMCLI).
  • Experience working with a Linux-based operating system
  • Comfort interacting with technical and business clients; installing and demonstrating software, training clients on expected system performance
  • Demonstrated attention to detail and the ability to create and follow a plan
  • Hands-on expertise in electrical integration (power systems, cabling, connectors) and mechanical assembly and fabrication
  • Ability to diagnose and debug complex systems, from low-level networking and hardware faults to high-level perception and autonomy behaviors
  • Willingness to work in dynamic, hands-on environments, including on and near the water, with frequent travel to client test sites (often up to 75% per month)
  • Comfort working with tools such as wrenches, power tools, and basic electrical test equipment

Preferred qualifications

  • 2+ years of experience working on marine electronics, integrated electromechanical or software systems, preferably in fielded or mission-critical environments
  • Software engineering ability, with experience in Python, C++, Rust, or similar languages for hardware bring-up, test automation, and system debugging
  • Experience with autonomous systems, USVs, boats and ships
  • Experience integrating and working with sensors such as radar, cameras (EO/IR), GPS, and IMUs, especially in perception-driven autonomy applications
  • Familiarity with ruggedized or IP-rated hardware and electronics design

Compensation & Commitment

  • Competitive salary, with potential for incentive equity compensation
  • 401(k) with matching (up to 4% of salary), Health, Dental, Vision, Life, Disability Insurance
  • Very frequent travel, home based out of our engineering office in Birmingham, AL
  • In-house training on tools and techniques
  • Ability to work on US Government Contracts (typically limited to US Citizens)

Equal Opportunity & Eligibility

Tocaro Blue, LLC is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Individual offers are made based on skill and experience, geographic location, as well as role, responsibility, and leadership within the company, and other due diligence. Our hiring team will try to determine whether each candidate fits the job description and may choose, at their discretion, to redirect a candidate to another job offering that is more appropriate.

NOTICE: All candidates for this role must be eligible to access sensitive information and items that requires “US Person status”, which is typically limited to U.S. citizens and legal permanent residents (a.k.a. green card holders), with few exceptions. Tocaro Blue LLC is not able to sponsor work visas for this role.