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Manager Machine Learning Finance Jobs in Alabama

Design, develop, and deploy Machine Learning and Artificial Intelligence solutions for enterprise ... Experience in Banking, Healthcare, Insurance, Retail, or Financial Services domains is a plus.

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... machine learning, and AI-driven insights, and enjoy working in a consulting environment where ... Support Professional Services and Managed Services initiatives as needed, ensuring billable ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

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Manager Machine Learning Finance information

What does a Manager of Machine Learning in Finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

What are the key skills and qualifications needed to thrive as a Manager of Machine Learning in Finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

How does a Manager of Machine Learning in Finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.
What are the most commonly searched types of Machine Learning Finance jobs in Alabama? The most popular types of Machine Learning Finance jobs in Alabama are:
What cities in Alabama are hiring for Manager Machine Learning Finance jobs? Cities in Alabama with the most Manager Machine Learning Finance job openings:

Principle Machine Learning Engineer

Tocaro Blue

Birmingham, AL • On-site

$140K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Job Description
Principle Machine Learning Engineer
Location: Southeastern United States (Hybrid/Remote)
Transform Maritime Intelligence with Cutting-Edge AI/ML
Are you an experienced machine learning researcher ready to push the limits of AI in one of the toughest domains-maritime autonomy? At Tocaro Blue, your expertise in designing, training, and deploying custom ML models will directly advance our foundational perception stack, ProteusCore.
As a Principal ML Engineer, you will be the lead architect of Radar (and secondary EO/IR) models for object detection, semantic segmentation, and tracking. You'll design algorithms capable of distinguishing vessels, land, shoreline constructions, wakes, and markers in dynamic maritime environments where off-the-shelf models fall short.
Your work will fuel products used by:
Defense customers developing USVs/ASVs for the U.S. Navy.
Commercial OEMs bringing advanced marine ADAS and autopilot features to market.
This role is an opportunity to define the ML foundations of maritime autonomy-where perception evolves from situational awareness, to navigation assistance, to full autonomy.
What You'll Pioneer
Core ML and Autonomy Innovation
• Invent and refine custom deep learning architectures for Radar and EO/IR imagery, with an emphasis on semantic segmentation and temporal tracking
• Develop multi-stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns
• Train models on proprietary large-scale datasets (millions of Radar samples and camera sequences) with design-of-experiment methods for data collection and annotation
• Optimize and deploy models to resource-constrained edge hardware (CPU-only and ARM64 platforms), including C++ inference layers
• Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and cartography for robust classification in GPS-denied or cluttered environments
• Collaborate with fusion and autonomy engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines
• Contribute to ML-Ops workflows: data management, large-scale training, continuous integration of new field data, and automated evaluation pipelines
What Sets You Apart
Essential Qualifications
• Advanced degree (MS/PhD) in Electrical Engineering, Computer Science, Robotics, or related field
• 7+ years applying machine learning and signal processing to real-world dynamic systems (graduate research counts if directly applicable)
• Demonstrated mastery of semantic segmentation and object classification models, ideally applied to non-vision sensor modalities
• Expert-level Python skills with ML frameworks (TensorFlow/Keras, PyTorch, or equivalent)
Preferred Expertise
• Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data (Radar, sonar, or medical imaging)
• Strong background in computer vision and temporal modeling (CNNs, transformers, RNNs for sequential sensor data)
• Experience deploying ML to embedded/edge platforms with optimized C++ inference
• Knowledge of marine, automotive, or aerial robotics systems
• Contributions to large-scale ML data pipelines: annotation strategies, dataset balancing, simulation-to-real transfer
• Passion for pushing the boundaries of AI in GPS-denied, cluttered, and low-visibility environments
Why Tocaro Blue?
Competitive Compensation & Growth
• $140,000 - $200,000 base salary with potential equity in a rapidly growing company
• Comprehensive benefits: 401(k) with 4% company matching, full health/dental/vision, life & disability insurance, generous PTO
• Continuous learning via conferences, training, and professional growth
Innovation-First Culture
• Direct impact on defining the AI backbone of maritime autonomy
• Work on problems unsolved in automotive AI: Radar segmentation, maritime multi-object tracking, sensor fusion in GPS-denied waters
• Collaborative environment with elite engineers and researchers
Flexible Work Environment
• Hybrid and remote options for Southeastern US-based candidates. Offices in Pensacola (FL), Birmingham (AL), and Atlanta (GA)
• Hands-on field validation through semi-monthly data collection trips at our Pensacola test facility
• A culture that balances innovation with personal growth
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 based 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.
All employees must be eligible to obtain a U.S. Department of Defense security clearance. With few exceptions, this is restricted to U.S. citizens and legal permanent residents (a.k.a. current Green Card Holders). Tocaro Blue LLC is not able to sponsor work visas nor permanent resident cards ("green cards") for this role.