1 to 25 of 123 Prompt Engineering Jobs in London

showcase high-impact AI opportunities, developing proof of concepts to validate feasibility and demonstrate real-world value. Explore, collect, clean, and prepare datasets for prompt engineering, model training and evaluation (Data Engineering). Design and create robust data pipelines (Data Engineering). Develop, test and iterate … prompts to optimise performance across relevance, accuracy, consistency and other areas (Prompt Engineering). Select, train, and fine-tune AI models based on need, leveraging appropriate techniques (e.g. LLMs, Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, Multi-modal AI, Agentic Workflows) (Model Development). Integrate and deploy scalable … track record leveraging Generative AI to build/enhance products with real user adoption. Experience in developing and fine-tuning Gen AI models, including prompt engineering, model fine tuning and deployment. Knowledge and use of LLM and statistical evaluation techniques such as G-Eval, Bleu, Perplexity and/ More ❯

showcase high-impact AI opportunities, developing proof of concepts to validate feasibility and demonstrate real-world value. Explore, collect, clean, and prepare datasets for prompt engineering, model training and evaluation (Data Engineering). Design and create robust data pipelines (Data Engineering). Develop, test and iterate … prompts to optimise performance across relevance, accuracy, consistency and other areas (Prompt Engineering). Select, train, and fine-tune AI models based on need, leveraging appropriate techniques (e.g. LLMs, Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, Multi-modal AI, Agentic Workflows) (Model Development). Integrate and deploy scalable … track record leveraging Generative AI to build/enhance products with real user adoption. Experience in developing and fine-tuning Gen AI models, including prompt engineering, model fine tuning and deployment. Knowledge and use of LLM and statistical evaluation techniques such as G-Eval, Bleu, Perplexity and/ More ❯

be essential to your success in this role. You have hands-on experience with vector search, embedding models, and retrieval pipelines. Your familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs sets you apart. Experience working with healthcare or sensitive data is crucial, as … in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries. Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). More ❯

direction. Work across a family of apps, enabling real-time content optimisation and distribution. Collaborate with cross-functional partners and engineers to improve content prompt engineering workflows. Provide recommendations on release strategies and help enhance scaled content across digital platforms. Opportunity to engage in GenAI prompt engineering … Self-starter with strong attention to detail, proactive mindset, and the ability to juggle 2–3 projects at once. Familiarity with Sequel and GenAI prompt engineering is a plus Day-to-Day Snapshot: Join working sessions with the team to review and improve content guidelines. Assess real-time More ❯

direction. Work across a family of apps, enabling real-time content optimisation and distribution. Collaborate with cross-functional partners and engineers to improve content prompt engineering workflows. Provide recommendations on release strategies and help enhance scaled content across digital platforms. Opportunity to engage in GenAI prompt engineering … Self-starter with strong attention to detail, proactive mindset, and the ability to juggle 2–3 projects at once. Familiarity with Sequel and GenAI prompt engineering is a plus Day-to-Day Snapshot: Join working sessions with the team to review and improve content guidelines. Assess real-time More ❯

frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). More ❯

frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). More ❯

frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). More ❯

Facilitate customer alignment on high-impact use cases that leverage AI, data pipelines, and Agentforce. Showcase Real-World Solutions: Partner with Sales and Solutions Engineering to build compelling demos and prototypes that illustrate immediate return on investment and practical use. Facilitate Workshops & Education : Lead whiteboarding sessions, training, and hands … documentation, architectural diagrams, and enablement materials that highlight emerging AI trends and Agentforce innovations. Requirements Technical Pre-Sales/Consulting : Several years in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS. AI & ML Expertise : Experience with machine learning concepts (predictive and generative AI), plus the ability to … AI research, frameworks, sharing insights, and experimenting with pioneering technologies. Actively stays up to date on new LLM models and agentic approaches , experimenting with prompt engineering to drive innovation. Preferred Requirements Agentforce or Salesforce CRM : Experience with Agentforce, Data Cloud, or Salesforce products (Sales Cloud, Service Cloud, Heroku More ❯

automation opportunities Work with our account management team to identify and prioritise opportunities to add the most value to our customers Design and implement prompt engineering solutions using our system, including: Data extraction from complex property leases and documents Workflow automation for a variety of intensive processes, like … from them. You're explicitly up for long hours, tight deadlines, and moments of heroism A good understanding of genAI fundamentals Semi-pro at prompt engineering with a deep passion for it-you've got the bug If you can also tick off any of the below bonus … points (don't worry if it's some or none though!) Some software engineering experience-vibe level, not necessarily writing production code Start-up or scale-up experience-you know what it means to wear multiple hats Real estate, law, or other relevant industry expertise International experience or language More ❯

to democratise financial access for 1 billion people. About the Role We’re looking for a hands-on AI Engineer, super passionate about AI engineering, to design and scale AI agents. Join our dynamic, friendly, close-knit team to build impactful LLM-powered solutions at speed. Responsibilities Build and … on retrieval-augmented generation and data retrieval systems Develop robust AI evaluation frameworks, metrics, and methodologies Demonstrate NLP fundamentals (tokenisation, embeddings, LLM understanding) Practise prompt engineering (few-shot, role-based, …), continuously testing and optimising prompts with tools like Weave or Laminar Balance constraints (token limits, cost, speed) while … Must-Haves LLM-based agent design with retrieval-augmented generation Proficiency in AI evaluation frameworks, NLP fundamentals (tokenisation, embeddings, LLM architecture), and bias handling Prompt engineering with systematic experimentation (tools like Weave or Langsmith) Strong Python back-end skills for data-intensive systems and data processing Ability to More ❯

content Develop and maintain scalable content guidelines Collaborate with teams to improve user experience Analyse data and deliver actionable insights Support AI training and prompt engineering initiatives Shifts: Mon-Fri, 9am-6pm Tue-Sat, 9am-6pm What You'll Bring: Experience in social media content strategy Excellent editorial … judgement and analytical skills Proficiency in Google Sheets/Excel Self-starter with strong organisational skills Bonus: Coding or prompt engineering experience This role is open for a limited time. Next steps will be shared with shortlisted candidates ASAP. Due to the high volume of applicants, we may More ❯

evaluate, and fine-tune AI prompts for optimized performance. Knowledge of responsible AI practices and implementing necessary guardrails. Bachelor’s degree in computer science, engineering, or equivalent. Proficiency in at least two programming tools (e.g., Java, C/C++, Python). Understanding of SDLC principles and software engineering practices. Familiarity with advanced algorithms, program structures, and API development. Skills in prompt engineering, automated testing, and debugging. Experience in cloud application development and CI/CD pipelines. Experience in building and deploying conversational chatbots for IT and/or customer support. What You'll Bring You … This chatbot will be a critical component in transforming IT support through AI-driven solutions. Your team will work closely with the Cloud Platform Engineering (CPE) team, which is responsible for building the shared GenAI platform. This platform will support multiple GenAI use cases across the company, ensuring scalable More ❯

like, search, summarization, recommendations, and Q&A. Design Retrieval-Augmented Generation (RAG) pipelines to ground LLMs with customer-specific context and data. Develop & educate prompt strategies and support the design of abstractions for prompt reuse and testing. Deploy and optimize models in production, with a focus on speed … . Evaluate and monitor models, ensuring accuracy, relevance, and fairness. Embed AI guardrails for secure, responsible, and explainable AI systems. Collaborate cross-functionally with engineering, product, and customer teams to deliver high-impact features and help the team grow through knowledge sharing, documentation, and pairing on complex problems. What … You Bring 5+ years in software/ML engineering developing & deploying production systems. Strong commitment to testing, validation, and observability-especially in systems where correctness can be fuzzy. Experience designing robust, testable, and observable GenAI systems-where correctness, fallback behavior, and evaluation are essential. Deep hands-on experience in More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

AI use cases. Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineers, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc. Assist sales teams with technical discovery … respond to functional and technical elements of RFIs/RFPs. Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap. Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking … SaaS/iPaaS organization. Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications. Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and More ❯

teams and telemetry analyses to propose scalable improvements in code, processes, and designs with an emphasis on customer/business objectives. Engages with product engineering teams and product owners across teams by leading code/design reviews, hosting regular meetings, and participating in on-call rotations and incident responses … DB2), Liquibase, NoSQL. Microservice Architecture: Designing and developing microservices, inter-service communication (REST, Pub/Sub). Messaging Systems: Apache Kafka, RabbitMQ. Generative AI: Prompt engineering, understanding of RAG and fine tuning, familiarity with tools like Langchain and Crew AI. SSDLC: Experience with static and dynamic code analysis … Ability to define and monitor code quality metrics such as code coverage, cyclomatic complexity, and technical debt. Qualifications: Master's degree: in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field. OR Bachelor's degree More ❯

will be part of a global cross-functional team of experts. They hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. This opportunity combines hands-on project work as well as project and people leadership. As … experience building NLP/IR systems for commercial applications, Demonstrable ability to mentor and coach colleagues as well as proven management experience, Solid software engineering skills for prototyping and ensuring well-managed software delivery, Demonstrable ability to connect cutting edge research to customer needs and creating well-structured research …/project plans into working applications, Experience as a technical leader, scoping, prioritizing, coordinating and guiding the work of others, Experience collaborating with Product, Engineering and other business stakeholders in an agile manner to demonstrate value and iterate with customer feedback, Technical Qualifications: Solid understanding of classic ML techniques More ❯