10 of 10 Natural Language Processing Jobs in Scotland

of the art in AI and ML. Work on some of our most exciting Data Science initiatives aimed at improving the Trustpilot consumer experience: from ranking and recommendations to natural language processing and search. Build, deploy, and maintain production-ready ML models that directly power features used by millions of users. Collaborate closely with engineers, product managers … like search, ranking, recommendations, personalization, or discovery. Strong hands-on ability with ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and natural language processing (NLP), with a track record of deploying models to production. Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with a background in a quantitative field such as More ❯

you a DevOps engineer ready to dive into the world of MLOps? Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? We're looking for a motivated Junior MLOps Engineer with a DevOps background, eager to help us deploy and maintain machine learning models, especially Large Language … Aveni Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

initiatives. Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

a story and provide the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that More ❯

to clients and internal stakeholders in a clear, actionable manner. Design and implement predictive models using advanced analytics, including techniques in machine learning, natural language processing (NLP), computer vision, and optimization. Oversee the full lifecycle of multiple data science projects, ensuring effective resource management, resolution of technical challenges, and streamlined code review processes. Provide mentorship and guidance … in Python or R, with hands-on application of supervised and unsupervised learning methods, as well as more advanced modeling techniques. Strong ability to distill complex technical findings into language that resonates with business audiences. Proven leadership in managing project teams and navigating challenges posed by large, unstructured, or messy datasets. Experience in consulting, proposal development, and strategic project More ❯

hospitality sector approaches pricing and forecasting . The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a full-stack data science role . This role will be deeply analytical and mathematical , with an emphasis More ❯

predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Essential Skills Strong experience with OCR, NLP (e.g., spaCy), and machine learning. Proficiency in AWS (Lambda, S3, API Gateway, CloudFormation). Skilled in Python and/or TypeScript. Experience with serverless architecture, Agile delivery, and XP practices. More ❯

predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Essential Skills Strong experience with OCR, NLP (e.g., spaCy), and machine learning. Proficiency in AWS (Lambda, S3, API Gateway, CloudFormation). Skilled in Python and/or TypeScript. Experience with serverless architecture, Agile delivery, and XP practices. More ❯

too) CRMs (ideally D365) R or Python (or the willingness to learn either if not worked with already) Ideally existing/eagerness to gain knowledge across Machine Learning/NLP Ability to work as part of a team, sharing knowledge and using your expertise to help others and improve current and future offerings If you like what you've read More ❯

too) CRMs (ideally D365) R or Python (or the willingness to learn either if not worked with already) Ideally existing/eagerness to gain knowledge across Machine Learning/NLP Ability to work as part of a team, sharing knowledge and using your expertise to help others and improve current and future offerings If you like what you've read More ❯