26 to 50 of 72 Prompt Engineering Jobs in England

AI adoption, battery technology and other real world problems. As an AI Engineer you will develop backend code and APIs, with a focus on prompt engineering and LLMs, collaborating with the Technical Architect to develop robust and highly performant solutions. You'll work alongside a talented team contributing … skills You are a passionate technologist, keep up to date with the latest innovations and learn new things You have solid knowledge of software engineering principles, Agile practices, CI/CD and ideally have experience within a cloud environment (AWS preferred) You are a bright, proactive individual and a More ❯

AI adoption, battery technology and other real world problems. As an AI Engineer you will develop backend code and APIs, with a focus on prompt engineering and LLMs, collaborating with the Technical Architect to develop robust and highly performant solutions. You'll work alongside a talented team contributing … skills You are a passionate technologist, keep up to date with the latest innovations and learn new things You have solid knowledge of software engineering principles, Agile practices, CI/CD and ideally have experience within a cloud environment (AWS preferred) You are a bright, proactive individual and a More ❯

practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS 5+ years of building machine learning models or developing algorithms for business application experience Master's … degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Knowledge of programming languages such as C/C++, Python, Java or Perl Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences) PREFERRED … QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models Hands on experience building models with deep learning frameworks like Tensorflow More ❯

s rollout at Fortune 500 organisations including Sony, Boston Scientific and Genentech. About the role: As an AI Product Engineer, you will sit within Engineering while maintaining a very close working relationship with our Solutions team. Your role will focus on pioneering cutting-edge applications of the latest advancements … capabilities in novel, real world use cases. Experience delivering Large Language Model projects with customers, including LLM API integration, current knowledge of foundation models, prompt engineering, RAG, fine tuning, and managing AI projects. You either come from an Engineering background, or your desire to ship working solutions … has allowed you to build out a range of technical solutions. You pride yourself on strong Engineering principles to build robust, trustworthy and scalable solutions. University degree in computer science, engineering, mathematics or related fields. Solutioning: ability to develop and articulate an AI solution vision to technical and More ❯

Analytics, Computer Science, Machine Learning/AI, Mathematics, Physics, or Statistics. Expertise in fine-tuning large language models , vector databases , LangChain , LangGraph, Autogen, and prompt engineering . Proficiency in Python and SQL, with the ability to write production-quality code deployable on cloud platforms. Demonstrated experience in deploying More ❯

and generative AI. Preferred Qualifications: Experience with generative models (e.g., diffusion models, GANs, transformers) for various media formats (e.g., text, image, video, audio), including prompt engineering, fine-tuning, and evaluation techniques. Experience with RL algorithms and frameworks, including policy gradient methods, Q-learning, and actor-critic architectures. Experience … building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques More ❯

and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using … and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity … Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & Culture At Zellis we create AI-enabled HR, workforce management and payroll products More ❯

and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using … and testing AI models before full-scale deployment. Skills & experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity … Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & culture At Zellis we create AI-enabled HR, workforce management and payroll products 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 … Services: Experience with AWS - EC2, S3, RDS, Lambda, etc. Microservice Architecture: Designing and developing microservices, inter-service communication (REST, Pub/Sub) 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 More ❯

and generative AI. Preferred qualifications: Experience with generative models (e.g., diffusion models, GANs, transformers) for various media formats (e.g., text, image, video, audio), including prompt engineering, fine-tuning, and evaluation techniques. Experience with RL algorithms and frameworks, including policy gradient methods, Q-learning, and actor-critic architectures. Experience … building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques More ❯

clearly and impactfully. Staying on top of recent trends, with hands-on experience in fine-tuning LLMs beyond API comparisons. Strong knowledge of software engineering, including building scalable web services and APIs. Experience developing full-stack applications, including database design, API development, admin panel creation, and monitoring systems. Experience … with GCP is a big plus. DevOps experience is a big plus. Prompt engineering expertise and creative problem-solving mindset. Experience with processing multimodal data (text, images, audio) is a plus. Perks and Benefits: Fully Remote: Work from anywhere with flexible hours. In-person Meetups and regular team More ❯

tests Promote coding conventions and standards for code re-usability and cleanliness Conduct code reviews for improved code quality and optimisation Leverage AI and prompt engineering techniques to optimise test coverage and identify potential areas of improvement Stay up to date with industry trends and best practices in … software testing, automation, and AI We are excited if you have 5+ years of Software Engineering or QA experience Bachelor's degree in computer science or related Proven experience as an SDET or similar role in software development and testing Strong programming skills in languages such as Java, Python More ❯

image generation Knowledge of RAG and its applications Experience with fine-tuning and deploying Large Language Models (LLMs) for learning GenAI applications Knowledge of prompt engineering Experience with AWS technologies Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

The Department Developer Engineering is a function of the CTO organisation. Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution. The main goals are to improve and upgrade our tools, streamline our … processes, automate and strengthen our controls, and help development teams adopt modern working methods. The Team The Codified Controls team within Developer Engineering is revolutionizing how we manage policies, standards, and controls through a company-wide "everything-as-code" initiative. This greenfield program offers a unique opportunity to significantly … along every step of that journey. You will also work with Generative AI technologies, such as GPT-4 or Gemini, embedding their capabilities through prompt engineering in our systems. Responsibilities: Design, develop, and test software applications Work closely with other team members to ensure that the software is More ❯

AI solutions, including experience with data processing libraries, API interaction, and structuring clean, maintainable code in a production environment. Familiarity with large language models, prompt engineering, and agent orchestration . The ability to analyse post-interaction data and optimise AI behaviour over time. A structured, problem-solving mindset More ❯

leverage the latest capabilities of the models. Experience in building and deploying gen AI applications at scale, in production, in enterprise settings. Expertise in prompt engineering best practices, demonstrated through successfully rolled out solutions. Must have experience in integrating enterprise wide knowledge into AI assistants to optimal results More ❯

for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data More ❯

for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data More ❯

for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data More ❯

innovative productivity based improvements to the suite of tools and processes used by our large user base of developers using latest Gen AI tooling & prompt engineering This dedicated team is focused on driving the everything-as-code agenda and delivering tangible reductions in process friction, errors, and manual … effort. In this role you will be responsible for driving and contributing to the technical direction of our products and services, instilling engineering best practices into the team, and promoting cultural change across the organisation. Responsibilities: Understand the landscape, tooling and procedures used by developers at Citi and look … a wide variety of Citi technology teams and help them drive towards everything-as-code and a codified controls environment. Collaborate with product and engineering teams to design, build and maintain scalable and reliable web applications and services. Be hands-on with coding and software design to ensure adherence More ❯

and open-source LLMs, Retrieval-Augmented Generation (RAG), model fine-tuning, structured output, and external connectors. Collaborate with instructional designers to refine and optimize prompt engineering for enhanced learning outcomes. Develop and maintain backend services, ensuring robust, well-architected, and well-tested production-grade code. Foster a passion More ❯

experience building applications with advanced technology under the hood . This is an opportunity to be part of a team that's pioneering modern engineering practices, from assisted coding workflows to intelligent automation in app development. If you're an engineer who is always experimenting with the latest tools … and AI-enhanced problem-solving . The nice-to-haves Experience in full-stack development (Node.js, Next.js, or serverless architectures) . Familiarity with AI prompt engineering techniques . Experience with iOS/Android development (React Native, Swift, Kotlin) . Exposure to design systems and modular UI frameworks . … product development, enterprise apps, or high-growth startups . At ASquared, we're building the next generation of digital products by embracing AI-first engineering . You'll work in an environment where AI isn't just a buzzword-it's deeply integrated into how we code, ship, and More ❯

it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external More ❯

models to act in such environment. In our evaluations which do not require agentic capabilities, we may use elicitation techniques like fine-tuning and prompt engineering to ensure assessing the model at its full capacity/our assessment does not miss capabilities that might be present in the … research-oriented tasks-such as designing new techniques for scaling inference-time computation or developing methodologies for in-depth analysis of agent behaviour-and engineering-oriented tasks-like implementing new tools for our LLM agents or creating pipelines for supporting and fine-tuning large open-source models. We recognise … that some technical staff may prefer to span or alternate between engineering and research responsibilities, and this versatility is something we actively look for in our hires. You'll receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class More ❯

models to act in such environment. In our evaluations which do not require agentic capabilities, we may use elicitation techniques like fine-tuning and prompt engineering to ensure assessing the model at its full capacity. About the Role As a member of this team, you will use cutting … research-oriented tasks-such as designing new techniques for scaling inference-time computation or developing methodologies for in-depth analysis of agent behaviour-and engineering-oriented tasks-like implementing new tools for our LLM agents or creating pipelines for supporting and fine-tuning large open-source models. We recognise … that some technical staff may prefer to span or alternate between engineering and research responsibilities, and this versatility is something we actively look for in our hires. You'll receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class More ❯