21 of 21 Prompt Engineering Jobs in the South East

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 ...

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 ...

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 ...

benefits Build production-grade LLM and GenAI solutions inside one of the UK's fastest-growing enterpise AI teams. This is a hands-on engineering role with a multi-award-winning UK consultancy whose AI practice has scaled rapidly through strategic acquisition and a strong delivery pipeline across commercial … step reasoning and orchestration. Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse, Ragas, promptfoo and Azure AI Content Safety. Productionising solutions with FastAPI, async ...

forward-thinking technology organisation driving innovation through artificial intelligence and modern software engineering. As part of our continued growth, we are expanding our engineering team with the addition of an experienced AI Software Developer. We are looking to hire an AI Software Developer to design, build, and deploy intelligent … software development with a focus on AI/ML applications A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Software Engineering or similar Strong programming skills in Python and/or Java Experience working with Large Language Models (LLMs) such as OpenAI, Hugging Face, or similar ...

deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications Build and maintain CI/… Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelor’s degree ...

team, focused on delivering practical AI solutions that directly impact front-office and business performance. This is a hands-on role sitting between AI engineering and business delivery , working closely with London-based stakeholders and a global AI function to build, iterate and deploy high-value AI applications. … build solutions, and continuously improve them. Key responsibilities include: Developing and deploying AI/ML solutions using Python and SQL Working with LLMs , including prompt engineering, evaluation and optimisation Engaging directly with business users to scope requirements and translate into technical solutions Building, testing and iterating AI products ...

join a growing AI product business where solutions are built for real-world use, not experimentation. You will sit at the intersection of engineering and client delivery, shaping how generative AI is deployed in complex, regulated environments. The role offers meaningful ownership, exposure to senior stakeholders, and the opportunity … systems, LLM-powered applications, or agent-based workflows Experience working closely with clients or end users, translating real requirements into technical solutions Solid software engineering fundamentals, including maintainable code, testing, and collaboration with engineering teams Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model ...

grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots … existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What Were Looking For 5+ years in software engineering, with strong experience ...

grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots … existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What Were Looking For 5+ years in software engineering, with strong experience ...

systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role You’ll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots … existing cloud-native SaaS platforms Own the full lifecycle: experimentation → prototyping → production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What We’re Looking For 5+ years in software engineering, with strong ...

Azure Mastery: Minimum 5 years of hands-on Azure experience with a mandatory AZ-204 (Azure Developer Associate) certification. AI Specialization: Proven experience with Prompt Engineering, Azure OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data ...

Copilot, and agent-based technologies Required Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem ...

training programmes focused on Microsoft Copilot Develop role-based learning journeys and training frameworks Create training assets including: Slide decks Hands-on exercises Prompt libraries Job aids and quick reference guides 3. Training Delivery & Adoption Deliver live training sessions (on-campus and virtual where required) Facilitate hands-on workshops … Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams) Training design tools (PowerPoint, eLearning tools, content authoring tools) Learning platforms (Moodle or similar VLE systems) Prompt engineering and AI workflow design tools Experience Required Proven experience delivering enterprise-scale training programmes across multiple teams or organisations Experience ...

tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle-from initial conceptualisation and prompt engineering to production deployment. As a Data Scientist, you will act as the technical architect behind our AI solutions. You won't just ...

increasingly shaped by AI and emerging technologies. The Role You'll operate at Development Manager level, owning delivery across a mixed internal and external engineering landscape. Your remit will span Salesforce teams, data and integration work, and newer AI-driven initiatives - ensuring consistent quality, pace and alignment with business … delivery of technology initiatives, from concept through to production Acting as the bridge between business stakeholders and technical teams Driving modern engineering practices, tooling and ways of working Supporting the evolution of AI-enabled development approaches across the organisation Ensuring systems remain scalable, secure and fit for a highly ...

teams Evaluate emerging AI capabilities and integrate relevant innovations Qualifications AI Expertise (Essential): Proven experience working with applied AI systems Strong understanding of LLMs, prompt engineering, and agent-based workflows Experience with AI automation and orchestration across tools/models Awareness of AI governance, risk, and security considerations ...