51 to 75 of 113 Prompt Engineering Jobs in the UK

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 ❯

will need to have deep hands-on experience in Python within a financial services setting and a strong grounding in Generative AI , LLMs , and prompt engineering . Responsibilities: Design and develop a generative AI chatbot tailored to core finance analytical functions (e.g. liquidity stress testing, balance sheet, positions … pandas code generation/execution. Develop a robust testing framework to assess the accuracy, performance, and reliability of AI agents. Create and fine-tune prompt generation strategies to enhance the chatbot’s financial domain relevance and response quality. Maintain and scale the underlying infrastructure supporting AI deployment using the 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 ❯

Proficiency in supervised/unsupervised/semi-supervised learning, neural networks, SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud More ❯

systems that understand large technical documents and turn them into code. This is a job of excitement and exploration, requiring AI expertise and software engineering skills to build complex systems. Knowledge of semiconductors is a plus. At Normal Computing, you will contribute to cutting-edge machine learning applications across … using large language models to process complex technical documents Develop solutions for multi-modal data handling (PDFs, logs, tables) Solve challenging AI and software engineering problems Work with other teams to integrate AI into our products Create robust AI evaluation frameworks Develop strategies to manage AI-specific challenges (latency … variance, errors) Keep up with AI advancements, especially in language models and multi-modal AI What Makes You A Great Fit: Experience with engineering projects, ideally related to ML or AI Strong software engineering skills, especially with distributed systems Proficiency in Python and ML frameworks (PyTorch, Hugging Face More ❯

minimum experience preferably) Strong programming skills in Python Expertise with SQL databases, cloud equivalent such as Amazon RDS(PostgreSQL, MySQL) Experience utilizing LLMs and prompt engineering Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph Familiarity with RAG Pipeline and Vector database Design and develop RESTful … solving skills with the ability to quickly process complex information and present it clearly and simply. Provide technical excellence (whilst adhering to Agile software engineering practices such as DRY, TDD, CI) and leadership/mentorship. Wanting to unleash their inner self-starter and work in an environment that fosters More ❯

minimum experience preferably) Strong programming skills in Python Expertise with SQL databases, cloud equivalent such as Amazon RDS (PostgreSQL, MySQL) Experience utilizing LLMs and prompt engineering Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph Familiarity with RAG Pipeline and Vector database Design and develop RESTful … solving skills with the ability to quickly process complex information and present it clearly and simply. Provide technical excellence (whilst adhering to Agile software engineering practices such as DRY, TDD, CI) and leadership/mentorship. Wanting to unleash their inner self-starter and work in an environment that fosters More ❯

changing the insurance industry. The core of our product is to digitize risks, and to accomplish that we rely heavily on Generative AI. Our engineering and product teams are distributed across Europe. Below you can find the required and preferred qualifications. We made this list quite extensive so that … GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Weaviate (we use it for RAG in LLM powered tasks and for hybrid searches) Kubernetes (we run Weaviate and other specific services 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 ❯

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 ❯

Summary Yelp engineering culture is driven by our values : we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the … strong point of view to user experience, feasibility, and scalability. Contribute to the long-term roadmap for next generation Yelp Search. Partner with other engineering teams - such as Ads and Core Content - to build cohesive backend systems that support shared product goals. What it takes to succeed: Strong product … language (e.g., Python or Java). Experience with AWS services, databases (SQL and NoSQL), Unix-based systems, and CI/CD pipelines. Experience with prompt engineering, or a strong interest in learning and applying LLM-based techniques. Comfortable with rapid prototyping, experimentation, and iterating based on user feedback More ❯

minimum experience preferably) • Strong programming skills in Python • Expertise with SQL databases, cloud equivalent such as Amazon RDS(PostgreSQL, MySQL) • Experience utilizing LLMs and prompt engineering • Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph • Familiarity with RAG Pipeline and Vector database • Design and develop RESTful … solving skills with the ability to quickly process complex information and present it clearly and simply. • Provide technical excellence (whilst adhering to Agile software engineering practices such as DRY, TDD, CI) and leadership/mentorship. • Wanting to unleash their inner self-starter and work in an environment that fosters More ❯

minimum experience preferably) • Strong programming skills in Python • Expertise with SQL databases, cloud equivalent such as Amazon RDS(PostgreSQL, MySQL) • Experience utilizing LLMs and prompt engineering • Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph • Familiarity with RAG Pipeline and Vector database • Design and develop RESTful … solving skills with the ability to quickly process complex information and present it clearly and simply. • Provide technical excellence (whilst adhering to Agile software engineering practices such as DRY, TDD, CI) and leadership/mentorship. • Wanting to unleash their inner self-starter and work in an environment that fosters More ❯

GitLab CI). Code analysis tools (e.g., SonarQube, CodeClimate). Experience in integrating AI with code review, testing, or deployment workflows. Understanding of NLP, prompt engineering, and fine-tuning models. Tools or platforms enabling collaboration between human users and AI. AWS/Azure/GCP for deploying AI 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 ❯

to solve complex problems and a willingness to learn. Experience in and strong knowledge of using AI/ML and more particularly LLMs e.g. Prompt engineering techniques Agentic systems Multiple LLM models Experience in using LLMs for document processing tasks would be beneficial. Proficiency in Python and specifically More ❯

Familiarity with frameworks such as NIST, MITRE ATT&CK, or CIS Controls. Familiarity with risk management concepts. Familiarity with GenAI technologies - specifically LLM based prompt engineering. Salary, Benefits and Work-Life Balance At Admiral, we are proud to be a diverse business where we put our people and customers More ❯

real, working products. What Youll Do: Own and drive the execution of complex, AI-powered product initiatives from idea to delivery. Collaborate closely with engineering, design, and business teams to define problems and build solutions. Translate evolving business needs into clear product requirements and workflows. Stay on top of … whats happening in GenAI, agentic systems, prompt engineering, and related toolsand bring those insights into your work. Get hands-on with detailswhether thats diving into a user flow, exploring an API, or testing prompts. Work in a fast-moving, experimental environment where iteration is constant and direction can … What Were Looking For: Strong program or product management experience (ideally 5+ years) in tech-driven environments. A technical backgroundwhether thats a CS degree, engineering experience, or just a deep love of how things work under the hood. Solid understanding of AI trends, LLM capabilities, vector databases, agent frameworks 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 ❯

art evaluation pipeline. You will be leading the development of this pipeline and benchmarking the performance of the proprietary algorithms on large datasets. LLM prompt engineering. Research and implement state-of-the-art prompting methods to maximise the efficacy of the LLM models and algorithms. Must haves: Expert in … Python. Industry experience of shipping algorithms and/or evaluation pipelines into production. Experience with prompt engineering and large language models. Familiarity with back-end development and Postgres databases. Experience with front-end development (Typescript/React). Extremely clear writer and communicator. Nice to haves: Publications at 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 ❯