Linguistic Developer - Hybrid, Glasgow, Scotland UK
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About the Job
The Text Analytics and Natural Language Processing (NLP) R&D Team is looking for a Linguistic Developer to help us build and test world‑class software and models. Our team works as a part of our Analytics, AI, and Machine Learning division to create innovative software and models to analyze natural language data across 33 languages.
We are working on the cutting edge of today’s NLP, innovating with Large (and Small) Language Models, and leveraging various analysis and modeling techniques to overcome risks and ensure customer satisfaction. If you are a linguistic expert interested in applying your talents in software development, we want to talk with you!
As a Linguistic Developer, You Will
- Develop high‑quality text analytics software and artificial intelligence (AI) solutions by designing, programming, testing, and documenting code.
- Research, prototype, implement, and validate high‑end analytic models across multiple human languages utilizing supervised and unsupervised statistical modeling (machine learning), deep learning techniques, and symbolic AI techniques.
- Research, prototype, and innovate to select appropriate natural language processing (NLP) methods and computational algorithms.
- Work closely with technical support and testing groups and provide expertise in text analytics and computational linguistics.
- Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.
- Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
Required Qualifications
- Minimum 5 years of experience in Natural Language Processing or Computational Linguistics.
- Bachelor’s (Master’s or Ph.D. preferred) degree in linguistics, computational linguistics, natural language processing, or related field.
- Expertise in a leading‑edge area of NLP and AI modeling (such as supervised, semi‑supervised, unsupervised, symbolic AI, deep learning, or LLMs) and knowledge of relevant linguistics and NLP computing methods.
- Aptitude for professional software development as demonstrated by programming experience in Python, SAS, Java, or similar programming language, basic knowledge of UNIX commands, CI/CD, and other key technical skills.
- Demonstrates at least intermediate aptitude across multiple languages and the ability to apply linguistic analysis to real‑world language data.
- Strong diagnostic and troubleshooting skills and analytical thinking.
- Skills in corpus linguistics, including collecting, cleaning, analyzing, and searching data.
- At least basic knowledge of statistical and machine learning models and methods.
- Experience writing or training large‑scale or complex models across multiple human languages and domains.
- Advanced or native language skills in at least 3 languages (e.g., Arabic, Greek, Korean, Japanese, Chinese, Hindi, Finnish, Polish, Czech, Hungarian, Norwegian, Danish, Swedish, Farsi, Hebrew). Written and spoken English fluency is required.
- Proof of right to work in UK is required to be considered for the role.
- Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
Additional Competencies, Knowledge And Skills
- Collaborating - Working cooperatively with others to help a team or work group achieve its goals.
- Technology Savvy - Leveraging one’s practical knowledge and understanding of recent technology tools, solutions, and trends to improve work results, solve work problems, and take advantage of new business opportunities.
- Quality Orientation - Accomplishing tasks by considering all areas involved, no matter how detailed; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful over a period of time.
You are welcome here.
At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Additional Information
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law.
SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.
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