Senior Machine Learning Engineer - Careers at Robert Half
Robert Half
Senior Machine Learning Engineer - Careers at Robert Half
Job Description
About the Role
Join Robert Half's innovative data science team as a Senior Machine Learning Engineer in Houston, Texas. As our portfolio of AI-driven solutions expands rapidly, we're seeking a seasoned expert to deliver production-grade machine learning systems that transform trading, operations, and support functions. This high-impact role places you at the forefront of AI innovation, where you'll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive real business decisions and foster groundbreaking innovation.
From initial project scoping to seamless model deployment, you'll enjoy full visibility and influence across the entire ML lifecycle. Specializing in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI, you'll tackle complex challenges in a dynamic environment. If you're passionate about turning data into actionable insights and scaling AI solutions for enterprise impact, this position offers the perfect platform to advance your career in machine learning engineering.
Key Responsibilities
As a Senior Machine Learning Engineer, your role will be pivotal in bridging technical excellence with business strategy. Here's what you'll do daily:
- Strategic Partnership: Serve as a thought leader for commercial teams, pinpointing high-value AI/ML opportunities that align with organizational goals.
- End-to-End ML Leadership: Spearhead the design, development, and deployment of advanced machine learning systems, emphasizing NLP, LLMs, and Generative AI technologies.
- Project Prioritization: Evaluate and rank initiatives based on business impact, market dynamics, and resource availability to maximize ROI.
- Cross-Functional Collaboration: Work closely with diverse teams to elicit requirements, refine solutions, and ensure alignment with broader strategic objectives.
- Seamless Integration: Embed ML solutions, including cutting-edge GenAI tools, into legacy and modern platforms for intuitive user experiences and scalable enterprise adoption.
- Engineering Excellence: Contribute to code reviews, experiment design, and tooling selections to uphold rigorous standards in ML development.
- Mentorship and Knowledge Sharing: Mentor junior engineers and upskill the organization, fostering a culture of machine learning proficiency and innovation.
Required Qualifications
To thrive in this role, you bring a robust blend of technical prowess and business acumen:
- 5+ years of hands-on experience in machine learning engineering, with deep expertise in NLP, LLMs, and Generative AI.
- Demonstrated success in building and deploying production ML systems that deliver measurable business outcomes.
- Proficiency in Python, along with ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms (AWS, Azure, GCP).
- Strong skills in model optimization, MLOps, CI/CD pipelines, and scalable infrastructure for AI deployments.
- Experience collaborating with non-technical stakeholders to translate business needs into technical roadmaps.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- Excellent problem-solving abilities, with a track record of prioritizing projects under uncertainty.
- Bonus: Familiarity with financial services, trading systems, or operational AI applications.
We're looking for engineers who not only code but also think strategically about AI's role in driving competitive advantage.
Why Join Us at Robert Half?
Robert Half is a leader in professional services, and this role offers unparalleled opportunities in Houston's thriving tech scene. Enjoy a competitive salary starting at $140,000, comprehensive benefits including health coverage, 401(k) matching, and professional growth support. Work in a collaborative culture that values innovation, with flexible arrangements and direct impact on high-stakes projects. Houston, TX, provides an ideal backdrop with its energy sector innovation and booming AI ecosystem. Join us to shape the future of AI at Robert Half—apply today and elevate your career!
(Word count: 728)
Locations
- Houston, Texas, United States
Salary
140,000 - 140,000 USD / yearly
140,000 - 180,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning Engineeringintermediate
- Natural Language Processing (NLP)intermediate
- Large Language Models (LLMs)intermediate
- Generative AIintermediate
- Model Design and Deploymentintermediate
- Python Programmingintermediate
- Cross-Functional Collaborationintermediate
- Production ML Systemsintermediate
- Code Review and Experiment Designintermediate
- AI/ML Project Prioritizationintermediate
Required Qualifications
- 5+ years of experience in machine learning engineering with a focus on NLP, LLMs, and Generative AI (experience)
- Proven track record of deploying production-grade ML systems (experience)
- Strong experience collaborating with commercial and cross-functional teams (experience)
- Expertise in Python and ML frameworks (TensorFlow, PyTorch, etc.) (experience)
- Ability to identify high-value AI/ML opportunities for business impact (experience)
- Experience integrating GenAI into existing platforms (experience)
- Bachelor's or Master's degree in Computer Science, Data Science, or related field (experience)
- Strong communication skills for mentoring and knowledge sharing (experience)
Responsibilities
- Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications
- Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI
- Prioritize projects based on business impact and evolving market conditions
- Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals
- Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption
- Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards
- Share knowledge and mentor colleagues to build machine learning fluency across the organization
Benefits
- general: Competitive salary starting at $140,000 annually
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement savings plan
- general: Generous paid time off and flexible work arrangements
- general: Professional development opportunities and tuition reimbursement
- general: Collaborative, innovative team environment
- general: Impactful work across trading, operations, and support functions
- general: Opportunities for career growth in AI/ML leadership
Tags & Categories
Answer 10 quick questions to check your fit for Senior Machine Learning Engineer - Careers at Robert Half @ Robert Half.
Related Books and Jobs
Senior Machine Learning Engineer - Careers at Robert Half
Robert Half
Senior Machine Learning Engineer - Careers at Robert Half
Job Description
About the Role
Join Robert Half's innovative data science team as a Senior Machine Learning Engineer in Houston, Texas. As our portfolio of AI-driven solutions expands rapidly, we're seeking a seasoned expert to deliver production-grade machine learning systems that transform trading, operations, and support functions. This high-impact role places you at the forefront of AI innovation, where you'll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive real business decisions and foster groundbreaking innovation.
From initial project scoping to seamless model deployment, you'll enjoy full visibility and influence across the entire ML lifecycle. Specializing in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI, you'll tackle complex challenges in a dynamic environment. If you're passionate about turning data into actionable insights and scaling AI solutions for enterprise impact, this position offers the perfect platform to advance your career in machine learning engineering.
Key Responsibilities
As a Senior Machine Learning Engineer, your role will be pivotal in bridging technical excellence with business strategy. Here's what you'll do daily:
- Strategic Partnership: Serve as a thought leader for commercial teams, pinpointing high-value AI/ML opportunities that align with organizational goals.
- End-to-End ML Leadership: Spearhead the design, development, and deployment of advanced machine learning systems, emphasizing NLP, LLMs, and Generative AI technologies.
- Project Prioritization: Evaluate and rank initiatives based on business impact, market dynamics, and resource availability to maximize ROI.
- Cross-Functional Collaboration: Work closely with diverse teams to elicit requirements, refine solutions, and ensure alignment with broader strategic objectives.
- Seamless Integration: Embed ML solutions, including cutting-edge GenAI tools, into legacy and modern platforms for intuitive user experiences and scalable enterprise adoption.
- Engineering Excellence: Contribute to code reviews, experiment design, and tooling selections to uphold rigorous standards in ML development.
- Mentorship and Knowledge Sharing: Mentor junior engineers and upskill the organization, fostering a culture of machine learning proficiency and innovation.
Required Qualifications
To thrive in this role, you bring a robust blend of technical prowess and business acumen:
- 5+ years of hands-on experience in machine learning engineering, with deep expertise in NLP, LLMs, and Generative AI.
- Demonstrated success in building and deploying production ML systems that deliver measurable business outcomes.
- Proficiency in Python, along with ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms (AWS, Azure, GCP).
- Strong skills in model optimization, MLOps, CI/CD pipelines, and scalable infrastructure for AI deployments.
- Experience collaborating with non-technical stakeholders to translate business needs into technical roadmaps.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- Excellent problem-solving abilities, with a track record of prioritizing projects under uncertainty.
- Bonus: Familiarity with financial services, trading systems, or operational AI applications.
We're looking for engineers who not only code but also think strategically about AI's role in driving competitive advantage.
Why Join Us at Robert Half?
Robert Half is a leader in professional services, and this role offers unparalleled opportunities in Houston's thriving tech scene. Enjoy a competitive salary starting at $140,000, comprehensive benefits including health coverage, 401(k) matching, and professional growth support. Work in a collaborative culture that values innovation, with flexible arrangements and direct impact on high-stakes projects. Houston, TX, provides an ideal backdrop with its energy sector innovation and booming AI ecosystem. Join us to shape the future of AI at Robert Half—apply today and elevate your career!
(Word count: 728)
Locations
- Houston, Texas, United States
Salary
140,000 - 140,000 USD / yearly
140,000 - 180,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning Engineeringintermediate
- Natural Language Processing (NLP)intermediate
- Large Language Models (LLMs)intermediate
- Generative AIintermediate
- Model Design and Deploymentintermediate
- Python Programmingintermediate
- Cross-Functional Collaborationintermediate
- Production ML Systemsintermediate
- Code Review and Experiment Designintermediate
- AI/ML Project Prioritizationintermediate
Required Qualifications
- 5+ years of experience in machine learning engineering with a focus on NLP, LLMs, and Generative AI (experience)
- Proven track record of deploying production-grade ML systems (experience)
- Strong experience collaborating with commercial and cross-functional teams (experience)
- Expertise in Python and ML frameworks (TensorFlow, PyTorch, etc.) (experience)
- Ability to identify high-value AI/ML opportunities for business impact (experience)
- Experience integrating GenAI into existing platforms (experience)
- Bachelor's or Master's degree in Computer Science, Data Science, or related field (experience)
- Strong communication skills for mentoring and knowledge sharing (experience)
Responsibilities
- Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications
- Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI
- Prioritize projects based on business impact and evolving market conditions
- Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals
- Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption
- Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards
- Share knowledge and mentor colleagues to build machine learning fluency across the organization
Benefits
- general: Competitive salary starting at $140,000 annually
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement savings plan
- general: Generous paid time off and flexible work arrangements
- general: Professional development opportunities and tuition reimbursement
- general: Collaborative, innovative team environment
- general: Impactful work across trading, operations, and support functions
- general: Opportunities for career growth in AI/ML leadership
Tags & Categories
Answer 10 quick questions to check your fit for Senior Machine Learning Engineer - Careers at Robert Half @ Robert Half.
Related Books and Jobs