Senior Level Natural Language Processing Jobs
Senior level natural language processing jobs put experienced engineers and researchers in charge of model architecture decisions, production system outcomes, and the cross-functional teams that build and deploy language-driven products. Roles are concentrated across Consulting & Professional Services, Insurance, and Education, with 43% remote or hybrid availability, and employers like Aon, S&ME, and WAGA ENERGY hiring at this level now.
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Overview:
Kimley-Horn's Denver, Colorado (CO) office is seeking a Natural Gas Engineer with 6+ years of experience to join their team! This is not a remote position.
Responsibilities:
- Lead and coordinate multidisciplinary engineering design efforts, working closely with Civil/Structural, Electrical, Instrumentation & Control, and other disciplines.
- Provide technical leadership for Natural Gas pipeline and facility engineering.
- Design of pipeline facilities such as metering/regulating stations and compressor stations.
- Development of PFDs, P&IDs, plans, sections, details, and associated bills of materials.
- Perform engineering calculations to support technical studies, reports, and design decisions.
- Coordinate supporting activities including surveying, geotechnical investigations, permitting, and land acquisition.
- Prepare material and equipment specifications to support procurement and factory acceptance testing.
- Lead proposal development and scope definition, including conceptual designs, execution plans, cost estimates, and schedules.
- Experience in the design of electric transmission lines and/or distribution systems.
QUALIFICATIONS
- 6+ years of relevant engineering design experience.
- Bachelors or Masters from an ABET accredited university in Mechanical Engineering, Petroleum Engineering, Civil Engineering or related field.
- Professional Engineering (P.E.) License (or ability to obtain within 12 months) Preferred.
- Proficiency with 49 CFR Part 192 and ASME B31.8.
- Experience with task management, concept design, and assisting project management tasks.
- Familiar with coordinating with clients, attending client meetings, and overseeing quality standards.
- Working knowledge of AutoCAD Civil 3D - CADWorx Preferred.
SALARY RANGE:
- $110,000 - $165,000
WHY KIMLEY-HORN?:
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it—that’s why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn’s placement on the Fortune “100 Best Companies to Work” list for 19 years!
KEY BENEFITS AT KIMLEY-HORN:
- Exceptional Retirement Plan: 2-to-1 company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
- Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
- Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
- Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
- Professional Development: Tuition reimbursement and extensive internal training programs.
- Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.
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Who's Hiring



Top Industries Hiring
- Consulting & Professional Services11
- Insurance5
- Education4
- Technology & Software4
- Energy3
Senior Level Natural Language Processing Jobs: Frequently Asked Questions
How do I get a senior level natural language processing job?
Senior level hiring teams look for candidates who have owned end-to-end NLP pipelines, not just contributed to them. Demonstrating you have led model selection, evaluation frameworks, and deployment decisions carries more weight than breadth of exposure. Published work, open-source contributions, and a portfolio showing measurable production impact all strengthen a candidacy at this stage. The ability to mentor junior engineers and translate technical tradeoffs for non-technical stakeholders is increasingly expected.
Which companies hire senior level natural language processings?
Companies hiring senior level natural language processings right now include Aon, S&ME, and WAGA ENERGY, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of employers, including large technology companies building platform-scale language products, enterprise software firms integrating generative AI, and specialized AI research organizations funding applied NLP work.
Are there remote senior level natural language processing jobs?
Yes, remote and hybrid options are common at this level given the deep individual-contributor work that characterizes senior NLP roles. About 43% of senior level natural language processing openings are remote or hybrid as of July 2026, reflecting sustained employer flexibility for senior technical talent who can operate independently and lead distributed teams effectively.
What makes a natural language processing role senior level?
Senior level natural language processing roles are defined by ownership and scope rather than task execution. Engineers at this level define the architectural direction for language systems, set evaluation standards, make build-versus-buy decisions, and are accountable for production performance at scale. They also mentor mid-level engineers, contribute to hiring decisions, and often drive alignment between NLP capabilities and broader product or research roadmaps.
Which industries hire the most senior level natural language processings?
Senior level natural language processing roles concentrate in Consulting & Professional Services, Insurance, and Education, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they face large unstructured data challenges, customer-facing language product demands, or compliance requirements that require production-grade NLP systems built and maintained by experienced engineers.