76 to 94 of 94 Prompt Engineering Jobs in the South East

and concise reports and presentations Required qualifications, capabilities and skills Experience leading teams to deliver production machine learning solutions Proficiency in Python and SQL and familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from … Lambda, Glue, S3 etc Experience in deep neural networks and familiarity with the latest developments in related fields Experience in LLM model finetuning and continuous learning techniques Experience in prompt engineering techniques and state-of-the-art LLM architectures ICBCareers #ICBEngineering ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

direct client interaction. Experience in enterprise software delivery or digital transformation projects. Strong analytical and problem-solving skills, including debugging complex logic. Understanding of Large Language Models (LLMs) and prompt-engineering principles. Highly organised, proactive, and able to manage multiple projects simultaneously. Preferred: Familiarity with JSON, XML, or other structured data formats. Experience with rules engines, decision management More ❯

with excellent communication and stakeholder engagement skills. Strong understanding of Microsoft 365 and related technologies. Familiarity with AI tools such as Azure AI Services, large language models (LLMs), or prompt engineering (desirable). Customer-focused mindset with the ability to deliver solutions that drive measurable business value. Clear and persuasive presentation skills, with the confidence to work directly More ❯

collaborate closely with product owners, asset designers, instructional designers and contractors to develop materials to support both synchronous and asynchronous learning, ranging from two year apprenticeships in AI Product Engineering to training for short burst skills training for first time managers. They should be fascinated by the potential for AI to make learning personalised, whilst recognising the need for … defining how the new content will be delivered and used. Influence and manage cross-functional teams. Apply advanced communication strategies to build consensus and secure buy-in from product, engineering, and delivery teams to ensure the end-to-end learning product is harmonised with the AI-driven approach. What you'll bring: Curriculum Design Expertise: Significant experience applying backward … AI and workflow automation tools. The ability to translate pedagogical rules into a technical rule set that can be executed by an AI machine. Solid understanding and application of prompt engineering principles for effective interaction with AI models. Project Management: Honed skills in leading content development teams, managing risks and time, developing schemes of work, and ensuring learning More ❯

and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and More ❯

and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and More ❯

and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and More ❯

challenges and deliver measurable impact. Key Responsibilities Design, build, and deploy Python-based AI and ML applications . Research and develop new Generative AI techniques, including fine-tuning and prompt engineering. Develop and maintain LLM-assisted frameworks and automation pipelines. Write clean, maintainable, and well-documented code for scalable deployment. Build and implement testing and evaluation frameworks for AI … Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph , Azure AI Foundry Agents , and Semantic Kernel Agents . Good understanding of software engineering More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

Learning. Hybrid working, office location Weybridge, Surrey. The role: Build and refine LLM/SLM-based Generative AI solutions from scratch, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud and on-premise environments. Develop ML models and integrate them into production systems, ensuring scalability and performance. … for performance improvements. Strong consulting and communication skills — able to translate technical concepts into business value. Bachelor’s or Master’s degree or equivalent in Computer Science, Machine Learning, Engineering, or related field. *Full right to work in the UK required* If your profile matches the above and you'd like to find out more, please apply with your More ❯

Learning. Hybrid working, office location Weybridge, Surrey. The role: Build and refine LLM/SLM-based Generative AI solutions from scratch, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud and on-premise environments. Develop ML models and integrate them into production systems, ensuring scalability and performance. … for performance improvements. Strong consulting and communication skills — able to translate technical concepts into business value. Bachelor’s or Master’s degree or equivalent in Computer Science, Machine Learning, Engineering, or related field. *Full right to work in the UK required* If your profile matches the above and you'd like to find out more, please apply with your More ❯

helping people focus on higher-value creative and strategic work. Backed by top-tier investors, we’ve experienced rapid growth over the past year and are now scaling our engineering team to power the next wave of innovation. Our culture values hands-on collaboration, experimentation, and fast iteration. We operate fully in-office from our Shoreditch HQ , where engineers … side to push the boundaries of what’s possible with AI. About the Position We’re hiring a Founding Fullstack Software Engineer who’s excited about blending solid product engineering with applied AI research. You’ll work closely with product and research teams to design, prototype, and launch intelligent automation tools and AI-driven products. This position offers a … with intuitive, user-focused interfaces. What You’ll Do Design, build, and iterate on fullstack systems that power AI-driven automation. Explore and evaluate new approaches in AI orchestration, prompt design, and model integration. Collaborate with product and design teams to improve user experience for technical and non-technical users. Contribute to team-wide learning through documentation, technical reviews More ❯

helping people focus on higher-value creative and strategic work. Backed by top-tier investors, we’ve experienced rapid growth over the past year and are now scaling our engineering team to power the next wave of innovation. Our culture values hands-on collaboration, experimentation, and fast iteration. We operate fully in-office from our Shoreditch HQ , where engineers … side to push the boundaries of what’s possible with AI. About the Position We’re hiring a Founding Fullstack Software Engineer who’s excited about blending solid product engineering with applied AI research. You’ll work closely with product and research teams to design, prototype, and launch intelligent automation tools and AI-driven products. This position offers a … with intuitive, user-focused interfaces. What You’ll Do Design, build, and iterate on fullstack systems that power AI-driven automation. Explore and evaluate new approaches in AI orchestration, prompt design, and model integration. Collaborate with product and design teams to improve user experience for technical and non-technical users. Contribute to team-wide learning through documentation, technical reviews More ❯

helping people focus on higher-value creative and strategic work. Backed by top-tier investors, we’ve experienced rapid growth over the past year and are now scaling our engineering team to power the next wave of innovation. Our culture values hands-on collaboration, experimentation, and fast iteration. We operate fully in-office from our Shoreditch HQ , where engineers … side to push the boundaries of what’s possible with AI. About the Position We’re hiring a Founding Fullstack Software Engineer who’s excited about blending solid product engineering with applied AI research. You’ll work closely with product and research teams to design, prototype, and launch intelligent automation tools and AI-driven products. This position offers a … with intuitive, user-focused interfaces. What You’ll Do Design, build, and iterate on fullstack systems that power AI-driven automation. Explore and evaluate new approaches in AI orchestration, prompt design, and model integration. Collaborate with product and design teams to improve user experience for technical and non-technical users. Contribute to team-wide learning through documentation, technical reviews More ❯