1 to 25 of 57 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 ❯

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 ❯

are a passionate and innovative problem-solver with a deep fascination for the potential of Large Language Models. You possess a strong understanding of prompt engineering principles and are eager to experiment with cutting-edge techniques. You thrive in a fast-paced environment and are comfortable with the … Artificial Intelligence, or a related field. Proven experience in working with Large Language Models (LLMs) such as Gemini, LaMDA, or similar. Strong understanding of prompt engineering principles and techniques. Excellent analytical and problem-solving skills, with a focus on evaluating LLM outputs. Proficiency in Python and experience with 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 ❯

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 ❯

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 ❯

in GenAI technologies, including LLM fine-tuning and serving, and contribute to strategic initiatives. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in MLOps, DevOps, or related roles, focusing on ML and AI. Proven expertise in deploying and … team members Fluency in written and spoken English Preferred Qualifications: Experience with large-scale distributed training and fine-tuning of GenAI models. Familiarity with prompt engineering and model optimization techniques. Contributions to open-source projects in the MLOps or GenAI space. Familiarity with PySpark for distributed data processing. More ❯

to be successful AI and Machine Learning: Experience integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products. Full Stack/Backend: Proficiency in TypeScript, React, and Node.js with a solid More ❯

other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. • Data Management & Integration: Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development. Help integrate AI models with existing data pipelines and systems, ensuring … such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake. • Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. • Familiarity with AI/ML algorithms and model deployment in cloud environments. • Experience with version control tools (e.g., Git), and … but significant experience in designing and deploying AI/ML solutions, please consider applying • Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile More ❯

other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. • Data Management & Integration: Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development. Help integrate AI models with existing data pipelines and systems, ensuring … such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake. • Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. • Familiarity with AI/ML algorithms and model deployment in cloud environments. • Experience with version control tools (e.g., Git), and … but significant experience in designing and deploying AI/ML solutions, please consider applying • Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile More ❯

statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implementation of machine learning models, metrics, and application of feature engineering techniques applied to customer problems. Support pre-sales in business opportunities and the engineering teams in the implementation of production-ready solutions involving … models to help test hypotheses. Communicate findings effectively to an audience of engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas. Advanced oral and written communication skills in English. Ability to understand mathematical models and algorithms … of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with Natural Language Processing (NLP and NLU). Experience using Generative AI systems More ❯

from Architecture, Product Management, and Operations to design, develop, test, and release features. Community Contributes to standards, patterns, and best practices that improve the engineering community. Provides perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements. Minimum Requirements … AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) or Back More ❯

statistical models, machine learning) using modern data science tools (Notebooks, Cloud platforms). Design and implement machine learning models, develop metrics, and apply feature engineering techniques tailored to customer problems. Support pre-sales efforts and assist engineering teams in deploying production-ready machine learning solutions. Evaluate hypotheses and … segmentation, using machine learning models to test hypotheses. Communicate findings effectively to engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics, or related quantitative fields. Proficiency in English, both oral and written. Ability to understand and implement mathematical models and algorithms … progress updates to the team. Proficiency in Python or R, SQL, and relevant frameworks for machine learning, data visualization, and deployment. Experience with feature engineering and machine learning algorithms for Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Experience with Natural Language Processing (NLP and NLU). Experience More ❯

deployment of GenAI across Google is as easy and as fast as possible. Responsibilities Build the platform that incorporates fine-tuning, multi-agent systems, prompt engineering, model optimization, etc. into the Google product development lifecycle. Develop and maintain our products, written in C++ and Python, conforms with Google 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 ❯

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 ❯

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 ❯