1 to 25 of 36 Prompt Engineering Jobs in the South East

GenAI Prompt Engineer Certain Advantage are recruiting on behalf of our globally renowned brand for a GenAI Prompt Engineer in London, initially until 31st Dec. This will need 2-3 days working onsite in Central London. The Role & Responsibilities Design, test, and refine prompts to optimise the performance of LLMs across various tasks (e.g., summarisation, Q&A, content … generation, reasoning). Develop prompt libraries and reusable templates for internal and external use cases. Collaborate with cross-functional teams to integrate prompt engineering into product workflows and AI pipelines. Analyse model outputs and user feedback to iteratively improve prompt effectiveness and reliability. Stay current with the latest research and advancements in prompt engineering … Bachelors or Masters degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. More ❯

GenAI Prompt Engineer Certain Advantage are recruiting on behalf of our globally renowned brand for a GenAI Prompt Engineer in London, initially until 31st Dec. This will need 2-3 days working onsite in Central London. The Role & Responsibilities Design, test, and refine prompts to optimise the performance of LLMs across various tasks (e.g., summarisation, Q&A, content … generation, reasoning). Develop prompt libraries and reusable templates for internal and external use cases. Collaborate with cross-functional teams to integrate prompt engineering into product workflows and AI pipelines. Analyse model outputs and user feedback to iteratively improve prompt effectiveness and reliability. Stay current with the latest research and advancements in prompt engineering … or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. More ❯

solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software SolutionsYou'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse DomainsYou'll tackle varied engagements, ranging in length … internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI ExpertiseUtilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

in production with secure-by-design architecture Designed and managed AI lab environments using IaC, containerisation, and secure networking practices Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection … Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence More ❯

collaborative, agile environment. Key Responsibilities Deliver high-quality full stack solutions with an emphasis on React and modern JavaScript/TypeScript. Contribute to AI/LLM projects including RAG, prompt engineering, and GenAI system development. Collaborate with designers and product teams to translate AI into intuitive, user-friendly experiences. Build PoCs and prototypes in short innovation cycles. Develop … cloud-native applications using AWS or Azure, containerisation, and CI/CD pipelines. Apply software engineering best practices in secure, regulated, or enterprise environments. Essential Skills & Experience Strong frontend capability with React and JavaScript/TypeScript. React expertise (SvelteKit knowledge is a plus). Recent, hands-on AI/LLM development experience - ideally involving prompt engineering, RAG More ❯

collaborative, agile environment. Key Responsibilities Deliver high-quality full stack solutions with an emphasis on React and modern JavaScript/TypeScript. Contribute to AI/LLM projects including RAG, prompt engineering, and GenAI system development. Collaborate with designers and product teams to translate AI into intuitive, user-friendly experiences. Build PoCs and prototypes in short innovation cycles. Develop … cloud-native applications using AWS or Azure, containerisation, and CI/CD pipelines. Apply software engineering best practices in secure, regulated, or enterprise environments. Essential Skills & Experience Strong frontend capability with React and JavaScript/TypeScript. React expertise (SvelteKit knowledge is a plus). Recent, hands-on AI/LLM development experience - ideally involving prompt engineering, RAG More ❯

collaborative, agile environment. Key Responsibilities Deliver high-quality full stack solutions with an emphasis on React and modern JavaScript/TypeScript. Contribute to AI/LLM projects including RAG, prompt engineering, and GenAI system development. Collaborate with designers and product teams to translate AI into intuitive, user-friendly experiences. Build PoCs and prototypes in short innovation cycles. Develop … cloud-native applications using AWS or Azure, containerisation, and CI/CD pipelines. Apply software engineering best practices in secure, regulated, or enterprise environments. Essential Skills & Experience Strong frontend capability with React and JavaScript/TypeScript. React expertise (SvelteKit knowledge is a plus). Recent, hands-on AI/LLM development experience - ideally involving prompt engineering, RAG More ❯

You'll Do Client Success : Support our financial services clients, ensuring they get maximum value from our AI platform AI Operations : Monitor and optimise our AI workers' performance, including prompt engineering and workflow refinement Business Intelligence : Analyse operational data to identify improvements and drive efficiency Product Development : Become a domain expert, translating client needs into product improvements Process … Building : Design and implement operational processes as we scale Cross-functional Projects : Work across engineering, product, and commercial teams on strategic initiatives What We're Looking For Recent graduate (0-2 years experience) with strong academic credentials Analytical mindset with excellent problem-solving abilities Natural communicator who can work with both technical teams and clients Genuine interest in AI … learn about AI systems) What Makes You Stand Out Internship or project experience in technology, consulting, or financial services Experience with data analysis or business intelligence tools Interest in prompt engineering or AI systems Entrepreneurial mindset or startup experience About You: You're intellectually curious, thrive in dynamic environments, and want to build a career at the forefront More ❯

You'll Do Client Success : Support our financial services clients, ensuring they get maximum value from our AI platform AI Operations : Monitor and optimise our AI workers' performance, including prompt engineering and workflow refinement Business Intelligence : Analyse operational data to identify improvements and drive efficiency Product Development : Become a domain expert, translating client needs into product improvements Process … Building : Design and implement operational processes as we scale Cross-functional Projects : Work across engineering, product, and commercial teams on strategic initiatives What We're Looking For Recent graduate (0-2 years experience) with strong academic credentials Analytical mindset with excellent problem-solving abilities Natural communicator who can work with both technical teams and clients Genuine interest in AI … learn about AI systems) What Makes You Stand Out Internship or project experience in technology, consulting, or financial services Experience with data analysis or business intelligence tools Interest in prompt engineering or AI systems Entrepreneurial mindset or startup experience About You: You're intellectually curious, thrive in dynamic environments, and want to build a career at the forefront More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business - Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business - Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business - Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media … wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise … in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media … wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise … in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media … wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise … in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with More ❯

paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining More ❯

focused consultants. Stay ahead of the curve with the latest Microsoft AI advancements. Represent the company in engagements with Microsoft teams and events. What You'll Bring Passion for engineering excellence and mentoring others. Strong analytical and communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale … distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field (preferred). Whats on Offer Work for a 3* World Class Best Company. Flexible working with our Winning From Anywhere More ❯

focused consultants. Stay ahead of the curve with the latest Microsoft AI advancements. Represent the company in engagements with Microsoft teams and events. What You'll Bring Passion for engineering excellence and mentoring others. Strong analytical and communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale … distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field (preferred). Whats on Offer Work for a 3* World Class Best Company. Flexible working with our Winning From Anywhere More ❯

focused consultants. Stay ahead of the curve with the latest Microsoft AI advancements. Represent the company in engagements with Microsoft teams and events. What You'll Bring Passion for engineering excellence and mentoring others. Strong analytical and communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale … distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field (preferred). Whats on Offer Work for a 3* World Class Best Company. Flexible working with our Winning From Anywhere More ❯

to contribute to impactful service delivery innovations. Key Responsibilities: Design and deploy Python-based AI applications for internal use Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation Build agentic systems and LLM-assisted frameworks using modern orchestration tools Collaborate with cross-functional teams to deliver production-ready solutions Maintain high … experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents) Familiarity with software engineering best practices: version control, testing, deployment Ability to collaborate with AI engineers More ❯

AI solutions to solve complex business challenges.IR 35 Status - Inside Key Responsibilities Design, build, and deploy Python-based AI applications. Research and prototype advanced GenAI techniques, including fine-tuning, prompt engineering, RAG, and agentic systems. Develop LLM-assisted frameworks and contribute to scalable AI architectures. Write clean, maintainable, and well-documented code. Implement testing pipelines and evaluation frameworks. … with libraries such as NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, and Azure AI Foundry. Strong experience with Azure and generative AI R&D. Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents). Ability to write production-ready code and apply robust quality control. Familiarity with software engineering best More ❯

sales work. We're looking for someone with: Proven experience delivering data science projects in a consultancy setting. Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation). Excellent communication and stakeholder management abilities. A track record of managing teams and shaping development roadmaps. experience with cloud environments (AWS, Azure, GCP), and familiarity More ❯

advanced AI initiatives. What you’ll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest … LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and More ❯

LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed … ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI More ❯

consultants Supporting Microsoft partnership activities and training sessions Requirements: Proven experience with Microsoft 365 Copilot, Copilot Studio, and related technologies Strong understanding of AI concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident More ❯