5 of 5 Natural Language Processing Jobs in Wales

software development and defence-grade compliance. Knowledge of LLMs, generative AI, or autonomous decision systems. Understanding of procurement regulations (e.g., MOD, NATO, or equivalent). Application of machine learning, natural language processing, and predictive analytics to automate and optimise procurement workflows. What We Offer: Opportunity to shape the future of defence procurement through AI. Direct impact on More ❯

experience in IT management or applications leadership roles. A background in digital automation, process improvement, or AI-based solutions. Familiarity with AI technologies and their practical application (e.g., RPA, NLP, analytics). Excellent communication and stakeholder management skills. Solid grasp of CRM systems (Microsoft CRM preferred). Skilled in Microsoft 365 and middleware technologies (e.g., BizTalk). Degree in IT More ❯

experience in IT management or applications leadership roles. A background in digital automation, process improvement, or AI-based solutions. Familiarity with AI technologies and their practical application (e.g., RPA, NLP, analytics). Excellent communication and stakeholder management skills. Solid grasp of CRM systems (Microsoft CRM preferred). Skilled in Microsoft 365 and middleware technologies (e.g., BizTalk). Degree in IT More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker or MLflow What You’ll Gain Hands-on Experience : Work on real ML systems and contribute to production-grade solutions Mentorship … Training : Learn from senior ML engineers and participate in structured onboarding and learning paths Career Growth : Clear progression toward mid-level engineering or specialist roles in ML, NLP, or MLOps Innovation Culture : Be part of a forward-thinking team that values creativity, experimentation, and collaboration Excellent Company Benefits 25+ Days Annual Leave + bank holidays Flexible/Hybrid Working Options More ❯