23 of 23 Permanent Prompt Engineering Jobs in the East Midlands

expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands … prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering Lead, you will define and execute Akixi's AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product ...

expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands … prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering Lead, you will define and execute Akixi's AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product ...

expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands … prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering Lead, you will define and execute Akixi's AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product ...

expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands … prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering Lead, you will define and execute Akixi's AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product ...

scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs), and specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training … product features. SME Consulting & Mentorship: Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams. MLOps & Governance: Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment. Required Skills ...

scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs), and specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training … product features. SME Consulting & Mentorship: Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams. MLOps & Governance: Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment. Required Skills ...

scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs), and specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training … product features. SME Consulting & Mentorship: Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams. MLOps & Governance: Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment. Required Skills ...

practitioners who wish to learn the craft of Generative AI Design Requirements: Some experience in designing for Generative AI experiences Some experience with prompt engineering and context engineering Knowledge of the fundamentals of conversation, e.g., turn-taking, cognitive load, pragmatics Strong technical aptitude - comfortable learning new software ...

practitioners who wish to learn the craft of Generative AI Design Requirements: Some experience in designing for Generative AI experiences Some experience with prompt engineering and context engineering Knowledge of the fundamentals of conversation, e.g., turn-taking, cognitive load, pragmatics Strong technical aptitude - comfortable learning new software ...

practitioners who wish to learn the craft of Generative AI Design Requirements: Some experience in designing for Generative AI experiences Some experience with prompt engineering and context engineering Knowledge of the fundamentals of conversation, e.g., turn-taking, cognitive load, pragmatics Strong technical aptitude - comfortable learning new software ...

models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data ...

models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data ...

models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data ...

models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data ...

models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data ...

models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data ...

Aveni, you will be a key technical leader in pre-sales, solution design, and customer engagement. You will work closely with sales, product, engineering, and customer success teams to define, architect, demonstrate, and deliver AI-powered solutions tailored to banks, wealth managers, insurance firms, and other financial services clients. … Aveni's AI/LLMs meet their needs; help them navigate trade-offs (accuracy, risk, explainability, privacy). Provide feedback to Product and Engineering on feature requests, prioritisation, bug-fixes, user experience, based on what you see in the field. Help define best practices, patterns, reusable assets (e.g. architecture ...

Aveni, you will be a key technical leader in pre-sales, solution design, and customer engagement. You will work closely with sales, product, engineering, and customer success teams to define, architect, demonstrate, and deliver AI-powered solutions tailored to banks, wealth managers, insurance firms, and other financial services clients. … Aveni's AI/LLMs meet their needs; help them navigate trade-offs (accuracy, risk, explainability, privacy). Provide feedback to Product and Engineering on feature requests, prioritisation, bug-fixes, user experience, based on what you see in the field. Help define best practices, patterns, reusable assets (e.g. architecture ...

workshops with technical and business stakeholders Represent the organisation's technical capabilities in high-stakes client meetings Build trust and long-term relationships with engineering teams and decision-makers Solution Development & Architecture Build and iterate working AI prototypes quickly Architect scalable, maintainable systems from prototype to production Make sophisticated … 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level AI strategy ...

pipelines leveraging LLMs and RAG architectures. Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments. Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products. Ensure high performance, testability, and reliability across the stack. Key Qualifications … deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.). Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning. Experience with ML model serving, SDK development, and working in production-grade environments. Ability to work across the full stack ...

lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. You'll be a senior, hands-on engineer owning complex technical … including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering. Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern ...

lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. You'll be a senior, hands-on engineer owning complex technical … including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering. Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern ...

lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. You'll be a senior, hands-on engineer owning complex technical … including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering. Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern ...