5 of 5 Prompt Engineering Jobs in the South West

artificial intelligence, helping to shape the future of innovative solutions. Responsibilities: Contribute to the d evelopment of AI infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantisation. Assist in development of deliver software systems and libraries to deliver AI-driven functionality across the whole … emerging technologies in AI and machine learning Document technical processes and developments for knowledge sharing across teams Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Experience: Strong programming skills in C, C++, Python Knowledge of AI/ML concepts and frameworks Willingness to learn multiple … Problem-solving skills and analytical thinking Excellent communication and teamwork abilities Additional Skills/Preferences: Experience with AI model deployment and inference Familiarity with prompt engineering techniques Knowledge of model optimization methods such as quantization Understanding of software library development Experience with version control systems (Git) Exposure to More ❯

Document processes and methodologies to support knowledge sharing and transparency, reproducibility, and knowledge sharing across teams. What You Need A degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques, with … TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter-Efficient Fine-Tuning (PEFT), and Direct Preference Optimization (DPO). Strong problem-solving skills and the ability to work independently or More ❯

AI solutions, including experience with data processing libraries, API interaction, and structuring clean, maintainable code in a production environment. Familiarity with large language models, prompt engineering, and agent orchestration . The ability to analyse post-interaction data and optimise AI behaviour over time. A structured, problem-solving mindset More ❯

Data Scraping Proficiency: Utilise platforms such as Clay for AI lead enrichment, data scraping, and campaign creation to maximise ROI. Leverage AI models and prompt engineering to enhance campaign targeting and messaging. Key Performance Indicators (KPIs): Positive Replies: Weekly/Monthly targets. Meetings Booked: Monthly/Quarterly targets. More ❯

Data Scraping Proficiency: Utilise platforms such as Clay for AI lead enrichment, data scraping, and campaign creation to maximise ROI. Leverage AI models and prompt engineering to enhance campaign targeting and messaging. Key Performance Indicators (KPIs): Positive Replies: Weekly/Monthly targets. Meetings Booked: Monthly/Quarterly targets. More ❯