1 to 25 of 31 Prompt Engineering Jobs in the Thames Valley

Prompt Engineering Consultant, Technically Sharp & Systems-Minded Deesign and optimize prompts, architect LLM-powered systems and deploy scalable GenAI workflows that connect people and intelligent systems in new, high-impact ways. THE ROLE Prompting & Reasoning Systems Design, test and optimize prompts for leading frontier models (GPT-4/… prompting and multi-agent orchestration (AutoGen/CrewAI). Build agentic workflows with tool calling, memory systems, retrieval pipelines and structured reasoning. GenAI Application Engineering Integrate LLMs into applications using LangChain, LlamaIndex, Haystack, AutoGen and OpenAI s Assistant API patterns. Build high-performance RAG pipelines using: hybrid search, reranking ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

Asycd's Research Lab is a rebellious, exploratory space where early-career AI enthusiasts collaborate on experimental projects in generative AI, prompt engineering, and agentic systems. We run in 3-month sprint cycles, selecting a small cohort of researchers to push boundaries, test ideas, and refine their … minds and creative technologists. What You'll Explore AI Agents: Long‐term memory, self‐evaluating reasoning, personalized cognitive profiles, and autonomous discovery engines. Software Engineering for AI: Multimodal conversational systems, closed‐loop software evolution, and advanced vector/cloud infrastructure for scalable agents. Applications of AI: Transforming industries such ...

Asycd's Research Lab is a rebellious, exploratory space where early-career AI enthusiasts collaborate on experimental projects in generative AI, prompt engineering, and agentic systems. We run in 3-month sprint cycles, selecting a small cohort of researchers to push boundaries, test ideas, and refine their … minds and creative technologists. What You'll Explore AI Agents: Long‐term memory, self‐evaluating reasoning, personalized cognitive profiles, and autonomous discovery engines. Software Engineering for AI: Multimodal conversational systems, closed‐loop software evolution, and advanced vector/cloud infrastructure for scalable agents. Applications of AI: Transforming industries such ...

Asycd's Research Lab is a rebellious, exploratory space where early-career AI enthusiasts collaborate on experimental projects in generative AI, prompt engineering, and agentic systems. We run in 3-month sprint cycles, selecting a small cohort of researchers to push boundaries, test ideas, and refine their … minds and creative technologists. What You'll Explore AI Agents: Long‐term memory, self‐evaluating reasoning, personalized cognitive profiles, and autonomous discovery engines. Software Engineering for AI: Multimodal conversational systems, closed‐loop software evolution, and advanced vector/cloud infrastructure for scalable agents. Applications of AI: Transforming industries such ...

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 ...

production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering to optimize model performance and outputs Optimize applications for performance, scalability, and security Collaborate cross-functionally with engineering, product … cloud platforms (AWS, GCP, or Azure) Experience of using AI to accelerate software development (using Github Copilot Coding Agents or similar) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying ...

LLMs) and Generative AI solutions using frameworks like OpenAI, Anthropic Claude, Gemini, or open-source models. Build and optimise RAG pipelines, vector databases, and prompt engineering strategies for enhanced AI responses. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows to solve real business challenges. Deploy … experience leading or mentoring Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs (OpenAI, Anthropic, Azure OpenAI). Expertise in prompt engineering, fine-tuning techniques, and vector databases (Pinecone, FAISS, ChromaDB). Strong understanding of transformer architectures and attention mechanisms. Experience deploying AI applications ...

SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D. Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy. Full-Stack Impact: While focused on AI, you'll work across … shipping AI solutions. Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments. LLM Mastery: Practical experience with prompt engineering and modern LLM architectures. Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React). Clear Communication: Ability to articulate complex technical decisions ...

model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality … standards (e.g., WCAG), information security policies, and emerging AI regulations. Define and enforce guardrails for data and GenAI use: data access controls, PII handling, prompt/data leakage prevention, and content moderation. Drive adoption and change Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders ...

model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality … standards (e.g., WCAG), information security policies, and emerging AI regulations. Define and enforce guardrails for data and GenAI use: data access controls, PII handling, prompt/data leakage prevention, and content moderation. Drive adoption and change Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders ...

model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality … standards (e.g., WCAG), information security policies, and emerging AI regulations. Define and enforce guardrails for data and GenAI use: data access controls, PII handling, prompt/data leakage prevention, and content moderation. Drive adoption and change Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders ...

Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation … forward ideas into practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles ...

Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation … forward ideas into practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles ...

Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation … forward ideas into practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles ...

materials Work with leadership to define our long-term AI roadmap Lay the foundation for adaptive learning, personalised coaching, and automated formative assessment Set engineering standards, model safety guidelines, and data governance frameworks Help scale the AI stack into a proprietary academic engine used by thousands of learners This … technical core of an entire institution. What we're looking for Essential Experience with Azure OpenAI, OpenAI, LangChain, or similar frameworks Strong Python engineering skills Practical experience building RAG systems, embeddings, vector stores Comfort with cloud architecture (Azure preferred) Ability to move fast, prototype, and ship Experience building MVPs ...

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 ...

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 ...

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 ...

grade system capable of handling 10x data volume without regression. Phase 3: Influence technical culture, own end-to-end deployments, and help scale the engineering team. What We're Looking For Founding Mindset: 5+ years of experience building production-grade systems. You enjoy the 0→1 phase and take … extreme ownership of the \"how.\" AI/LLM Pragmatism: You've shipped LLM features to production. You understand prompt engineering, structured outputs, and the challenges of non-deterministic systems. Full-Stack Depth: Strong in at least one backend language (Python, Node.js, Go) with deep knowledge of database design ...

grade system capable of handling 10x data volume without regression. Phase 3: Influence technical culture, own end-to-end deployments, and help scale the engineering team. What We're Looking For Founding Mindset: 5+ years of experience building production-grade systems. You enjoy the 0→1 phase and take … extreme ownership of the \"how.\" AI/LLM Pragmatism: You've shipped LLM features to production. You understand prompt engineering, structured outputs, and the challenges of non-deterministic systems. Full-Stack Depth: Strong in at least one backend language (Python, Node.js, Go) with deep knowledge of database design ...