As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...
As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...
Machine Learning Engineer
Austin, TX · On-site
In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...
Machine Learning Engineer
Austin, TX · On-site
In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...
As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team ...
As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team ...
Machine Learning Engineer
Austin, TX · On-site
They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning solutions for autonomous systems, focusing on model optimization and data management. Responsibilities ...
Machine Learning Engineer
Austin, TX · On-site
They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning solutions for autonomous systems, focusing on model optimization and data management. Responsibilities ...
Director, Machine Learning
Austin, TX · On-site
... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...
Director, Machine Learning
Austin, TX · On-site
... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...
Director, Machine Learning
Austin, TX · Hybrid
... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...
Director, Machine Learning
Austin, TX · Hybrid
... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...
Machine Learning Engineer
Austin, TX · On-site +1
Our solution combines everything shippers need, from transportation management and visibility to ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...
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Machine Learning Engineer
Austin, TX · On-site +1
Our solution combines everything shippers need, from transportation management and visibility to ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...
Machine Learning Engineer
Austin, TX · On-site
... and product managers, to help develop and implement machine learning algorithms and testing ... workflows. Minimum Qualifications 4+ years of related experience building high throughput scalable ...
Machine Learning Engineer
Austin, TX · On-site
... and product managers, to help develop and implement machine learning algorithms and testing ... workflows. Minimum Qualifications 4+ years of related experience building high throughput scalable ...
As a senior machine learning engineer in Finance, you'll play an integral and global role in ... management Harden CI/CD and MLOps practices with testing, drift monitoring, and deployment ...
As a senior machine learning engineer in Finance, you'll play an integral and global role in ... management Harden CI/CD and MLOps practices with testing, drift monitoring, and deployment ...
Machine Learning Engineer
San Antonio, TX · On-site
Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ...
Machine Learning Engineer
San Antonio, TX · On-site
Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ...
As a senior machine learning engineer in Finance, you'll play an integral and global role in ... management Harden CI/CD and MLOps practices with testing, drift monitoring, and deployment ...
As a senior machine learning engineer in Finance, you'll play an integral and global role in ... management Harden CI/CD and MLOps practices with testing, drift monitoring, and deployment ...
Machine Learning Engineer
$134K - $249K/yr
... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...
Machine Learning Engineer
$134K - $249K/yr
... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...
Machine Learning Engineer
$134K - $249K/yr
... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...
Machine Learning Engineer
$134K - $249K/yr
... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...
As a senior machine learning engineer in Finance, you'll play an integral and global role in building the platform, data foundations, and services used for transforming Finance's organization.
As a senior machine learning engineer in Finance, you'll play an integral and global role in building the platform, data foundations, and services used for transforming Finance's organization.
Machine Learning Engineer
Austin, TX · On-site
An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
Machine Learning Engineer
Austin, TX · On-site
An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
Machine Learning Engineer
$134K - $249K/yr
... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...
Machine Learning Engineer
$134K - $249K/yr
... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...
An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
Machine Learning Engineer
Austin, TX · On-site
We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...
Machine Learning Engineer
Austin, TX · On-site
We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...
Finance Machine Learning Engineer - Tech Lead
$101K - $133K/yr
As a machine learning engineer in Finance, you'll play an integral role in building the data ... managers and program managers. Your ability to learn business processes and instill strong ...
Finance Machine Learning Engineer - Tech Lead
$101K - $133K/yr
As a machine learning engineer in Finance, you'll play an integral role in building the data ... managers and program managers. Your ability to learn business processes and instill strong ...
Machine Learning Engineer II
Plano, TX · On-site
As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... management. Responsibilities Key Responsibilities: * Collaborate with cross-functional teams ...
Machine Learning Engineer II
Plano, TX · On-site
As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... management. Responsibilities Key Responsibilities: * Collaborate with cross-functional teams ...
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?
| Aspect | Manager Machine Learning Finance | Data Scientist Finance |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysis | Bachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders in finance | Analyzes data, develops models, supports decision-making in finance teams |
| Employer & Industry Usage | Financial institutions, hedge funds, investment firms | Financial 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 Texas? The most popular types of Machine Learning Finance jobs in Texas are:
What are popular job titles related to Manager Machine Learning Finance jobs in Texas? For Manager Machine Learning Finance jobs in Texas, the most frequently searched job titles are:
- Machine Learning Engineer Apprenticeship
- Volunteer Junior Machine Learning Engineer
- Senior Machine Learning Engineer
- Remote Machine Learning Engineer
- Remote Java Machine Learning
- Lead Machine Learning Engineer
- Help Nlp Engineer
- Urgently Hiring Machine Learning Engineer New Grad
- Machine Learning Engineer
- Machine Learning Engineer From Home
What job categories do people searching Manager Machine Learning Finance jobs in Texas look for? The top searched job categories for Manager Machine Learning Finance jobs in Texas are:
What cities in Texas are hiring for Manager Machine Learning Finance jobs? Cities in Texas with the most Manager Machine Learning Finance job openings:
Apple rating
8.1
Based on 667 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders.
As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple's Finance organization.
Description
This role will require you to be collaborative by learning intra-team and business process in order to build infrastructure and services to enable an effective Machine Learning practice. You will help lead the charge by developing a strong ML Ops process in a dynamic Finance environment where you will deal with unique challenges specific to Finance organizations, such as SOX and regulatory compliance. Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical.
Minimum Qualifications
Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline) with seven years demonstrated experience
Experience building data models and scalable pipelines using SQL and big data technologies, with expertise in data ops best practices
Experience developing in Python while following DRY principles, modularity, and testing standards, with version control, code review.
Experience applying ML algorithms for regression, classification, and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD, drift monitoring, and cloud platforms (AWS, GCP, Azure)
Ability to explain technical details to non-technical audiences
Understands and advocates version control, test driven development and strong CI/CD process
Preferred Qualifications
Graduate degree (computer science, data science, math, quantitative finance, or similar discipline) with five years experience
Previous experience working in a corporate finance, accounting, or supply chain organization
Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process
Experience with front end (.js experience)
As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple's Finance organization.
Description
This role will require you to be collaborative by learning intra-team and business process in order to build infrastructure and services to enable an effective Machine Learning practice. You will help lead the charge by developing a strong ML Ops process in a dynamic Finance environment where you will deal with unique challenges specific to Finance organizations, such as SOX and regulatory compliance. Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical.
Minimum Qualifications
Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline) with seven years demonstrated experience
Experience building data models and scalable pipelines using SQL and big data technologies, with expertise in data ops best practices
Experience developing in Python while following DRY principles, modularity, and testing standards, with version control, code review.
Experience applying ML algorithms for regression, classification, and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD, drift monitoring, and cloud platforms (AWS, GCP, Azure)
Ability to explain technical details to non-technical audiences
Understands and advocates version control, test driven development and strong CI/CD process
Preferred Qualifications
Graduate degree (computer science, data science, math, quantitative finance, or similar discipline) with five years experience
Previous experience working in a corporate finance, accounting, or supply chain organization
Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process
Experience with front end (.js experience)
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976