3 of 3 Permanent Prompt Engineering Jobs in the East Midlands

and PyDub to enable audio analysis and processing Develop tools for BPM detection, genre classification, energy and mood mapping Create systems for automated content compliance and rights management Platform Engineering Build scalable AI platforms that interface with our music management systems Develop APIs and edge AI capabilities for real-time audio delivery in retail environments Establish performance metrics to … solutions Work closely with music curators and product teams to align technology with creativity Present AI initiatives and outcomes to internal and external stakeholders Essential Degree in Computer Science, Engineering, or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/… ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems Experience identifying AI use cases and translating them into business value Preferred Experience with LibROSA, Essentia, or other audio analysis libraries Knowledge of computational musicology and MIR More ❯

Languages & Tools: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch) Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly … with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring manager Technical discussion with the VP of Engineering Sign of chat with CEO More ❯

Languages & Tools: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch) Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly … with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring manager Technical discussion with the VP of Engineering Sign of chat with CEO More ❯