1 to 25 of 36 DemandTrendPermanent Prompt Engineering Jobs in London

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 ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

a strong mathematics and statistics foundation. This includes hands-on experience with large language models (LLMs), foundation models, and autonomous agent frameworks, alongside expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems. You should be proficient with both commercial and open-source technologies, including popular frameworks like LangChain, Hugging Face, and PyTorch, as … proof-of-concept to production deployment. - Drive technical excellence as a key member of the Data and AI Specialist team. Act as a technical liaison between customers and AWS engineering teams, ensuring successful implementation of AI solutions while maintaining alignment with AWS's well-architected framework and AI best practices. This role can be located in either Singapore, Indonesia … ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and 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 ❯

looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance. Key Responsibilities … improvement. Navigate and understand the Python codebase to correlate test results with underlying code. Improving and testing existing AI agents. Identifying where agents perform well and where they fail. Prompt testing and tuning to optimize agent responses. Flagging test results as pass/fail based on expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering More ❯

looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance. Key Responsibilities … improvement. Navigate and understand the Python codebase to correlate test results with underlying code. Improving and testing existing AI agents. Identifying where agents perform well and where they fail. Prompt testing and tuning to optimize agent responses. Flagging test results as pass/fail based on expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering More ❯

looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance. Key Responsibilities … improvement. Navigate and understand the Python codebase to correlate test results with underlying code. Improving and testing existing AI agents. Identifying where agents perform well and where they fail. Prompt testing and tuning to optimize agent responses. Flagging test results as pass/fail based on expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering More ❯

looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance. Key Responsibilities … improvement. Navigate and understand the Python codebase to correlate test results with underlying code. Improving and testing existing AI agents. Identifying where agents perform well and where they fail. Prompt testing and tuning to optimize agent responses. Flagging test results as pass/fail based on expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering More ❯

ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience in cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions … machine learning or deep learning models and/or systems into production, including batch and real-time data processing. - Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models - Strong communication skills in English and Spanish with the ability to explain technical concepts to both technical and non-technical audiences 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 ❯

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 ❯

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 ❯

with advanced LLM techniques: RAG systems, chain-of-thought prompting, agentic tool use, and multi-agent coordination , Experience with distributed systems, cloud platforms, and scalable ML infrastructure , Knowledge of prompt engineering, LLM fine-tuning, and model optimization techniques , Familiarity with vector databases, embedding systems, and retrieval architectures , Experience with real-time systems and low-latency inference , Knowledge of More ❯

Join us in curating a codebase to be proud of, driving for quality, maintainability and testability The candidate You have completed a degree or bootcamp in Computer Science, Software Engineering or Artificial Intelligence You are AI-native, proficient at prompt engineering and comfortable using agentic coding tools to boost your productivity and problem solving You can quickly More ❯

at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 5+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer, with at least 1+ year experience … into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based 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 ❯

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 ❯

at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 3+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology … into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based More ❯

infrastructure. - Experience implementing and optimizing AI-powered customer service solutions - Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning - Serverless development experience including complex integrations with Amazon Lex, Lambda More ❯

ability to drive customer growth, retention, and expansion through data-driven insights Technical & Analytical Competencies: Experience in AI/ML space, particularly conversational AI or automation platforms Hands-on prompt engineering experience with ability to optimize AI responses, train conversation flows, and refine model outputs Experience analyzing usage patterns, competitive landscapes, and translating data into actionable strategies Comfort 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 ❯