At a Glance
- Tasks: Develop and test innovative software for natural language processing across 33 languages.
- Company: Join a leading data and AI company known for its inclusive culture.
- Benefits: Enjoy a flexible hybrid work environment with a world-class employee experience.
- Other info: Collaborative team atmosphere with opportunities for professional growth.
- Why this job: Make a real impact in the cutting-edge field of NLP and AI.
- Qualifications: 5+ years in NLP, programming skills in Python or similar, and fluency in at least 3 languages.
The predicted salary is between 60000 - 80000 £ per year.
We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you are looking for a dynamic, fulfilling career with flexibility and a world‑class employee experience, you will find it here. We are recognized around the world for our inclusive, meaningful culture and innovative technologies.
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.
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.
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.
Linguistic Developer in Glasgow employer: SAS
Contact Detail:
SAS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Linguistic Developer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in the NLP field. Practice explaining your past projects and how they relate to the role. Confidence is key, so rehearse until you feel ready to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our awesome team at StudySmarter.
We think you need these skills to ace Linguistic Developer in Glasgow
Some tips for your application 🫡
Show Off Your Linguistic Skills: Make sure to highlight your expertise in natural language processing and computational linguistics. We want to see how your skills can contribute to our innovative projects, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Linguistic Developer role. Use keywords from the job description to show us you’re a perfect fit for our team.
Be Authentic: We value curiosity and authenticity, so let your personality shine through in your application. Share your passion for linguistics and AI, and tell us why you want to join StudySmarter!
Apply Through Our Website: For the best chance of success, make sure to submit your application through our official website. It’s the easiest way for us to review your details and get back to you quickly!
How to prepare for a job interview at SAS
✨Know Your NLP Inside Out
Make sure you brush up on the latest trends and techniques in Natural Language Processing. Be ready to discuss your experience with supervised and unsupervised models, as well as any specific projects you've worked on that showcase your expertise.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming abilities, especially in Python or Java. Bring examples of your code or projects where you've developed text analytics software, and be ready to explain your thought process behind your coding decisions.
✨Be Ready for Technical Questions
Expect technical questions related to computational linguistics and AI modelling. Brush up on statistical methods and machine learning concepts, and think of real-world applications where you've applied these skills.
✨Emphasise Collaboration and Curiosity
Highlight your ability to work in a team and your passion for learning. Share examples of how you've collaborated with others to achieve goals, and express your enthusiasm for exploring new technologies and methodologies in the field.