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Contract Machine Learning Software Engineer Jobs in Texas

Apple

Machine Learning Engineer

Austin, TX · On-site

To be successful, candidates will need a machine learning background, proven software development ... Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ...

Georgia IT Inc

Niche Software Engineer

Houston, TX

... learning, and shared ownership. Contract Software Engineers at all levels are involved in writing ... Artificial Intelligence Engineer, Big Data with Cassandra, Elasticsearch, Jetpack Compose, Machine ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

... Top Software & Technology Providers, and FreightWaves' FreightTech 2022 and 2021 Awards for ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

The BCI team develops the software and systems that communicate with the brain. These systems ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

... software engineers to ensure reliable, scalable adoption across the business • Communicate ... machine learning or statistical models, with a proven track record of delivering end-to-end ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181K - $318K/yr

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$181K - $318K/yr

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$181K - $318K/yr

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

Indeed

Machine Learning Engineer III

Austin, TX

Mentor and grow other software engineers and Machine Learning Engineers across teams * Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the ...

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Contract Machine Learning Software Engineer information

How does a Contract Machine Learning Software Engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

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

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

Which 5 jobs will survive AI?

For a Contract Machine Learning Software Engineer, roles that involve complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research, data science, cybersecurity, software architecture, and technical consulting. These jobs require specialized skills, domain expertise, and adaptability that AI tools currently cannot fully replicate. Continuous learning and proficiency with AI and machine learning tools will help maintain relevance in this evolving field.

What engineers make $500,000?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and software engineering. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working with cutting-edge AI technologies. Compensation at this level reflects the complexity and impact of the work, often including bonuses and stock options.

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

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

How much do contract software engineers make?

Contract machine learning software engineers typically earn between $50 and $150 per hour, depending on experience, location, and project complexity. Rates can vary based on skills in specific frameworks, tools, and the duration of the contract.

What is a Contract Machine Learning Software Engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Texas? The most popular types of Machine Learning Software Engineer jobs in Texas are:
What cities in Texas are hiring for Contract Machine Learning Software Engineer jobs? Cities in Texas with the most Contract Machine Learning Software Engineer job openings:
Contract Machine Learning Software Engineer jobs near you
Senior Lead Software Engineer - Data / Machine Learning Operations

Senior Lead Software Engineer - Data / Machine Learning Operations

JPMorgan Chase & Co.

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 9 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Job Description
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Risk Technology Portfolio team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Design and develop large-scale solutions or platforms using Cloud services (i.e. AWS) in alignment with the firm wide strategies and security controls
  • Deploy and enable cloud based solutions at firm level, supporting complex analytics and day to day business operations
  • Migrate legacy an big data applications at Cloud native applications with zero downtime
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Develop solutions or tools to monitor, provision components for automation or the processes, services, and reports
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Leverage your strong operational skills to develop impactful recommendations on upstream product, processes, or policy improvements that will optimize the user experience
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills
  • Formal training and certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Good knowledge of Machine Learning modelling as an engineer
  • Advanced in one or more programming language(s) and framework(s) (i.e., Python, Java, Big Data, Data pipeline, Machine Learning, etc.)
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Advanced knowledge of application, data, and infrastructure architecture disciplines
  • Working experience in software development, OOPS and SDLC
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Knowledge of the financial services industry and their TI systems
  • Practical cloud native experience
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills
  • AWS certifications (e.g. Solutions Architect Associate)
  • Knowledge of RAG architectures and exposure to AI/Automation technologies that improve operations
  • Experience with building Data Pipelines in Spark, Tuning Spark queries
  • Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.)
  • Working knowledge with Big Data platforms (i.e., Hadoop preferred)
  • Experience in Cloud Technologies (i.e., AWS - Databricks preferred)

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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