26 to 50 of 113 Prompt Engineering Jobs in the UK

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 ❯

a dent in the universe bigger than ourselves. About the role At Matillion, we're redefining what's possible in the world of data engineering by embedding cutting-edge AI into every layer of our platform. Our Data Science team-part of the Product organisation-is dedicated to two … language inputs. Advance AI Evaluation : Evolve our testing frameworks to better measure quality, reliability, and usability of generative outputs. Drive Real Impact : Collaborate with engineering teams to expand the reach of AI features and prepare for AI-to-AI interaction scenarios. Explore & Innovate : Stay ahead of research trends and … a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API. Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or interest) in fine-tuning, instruction More ❯

Document processes and methodologies to support knowledge sharing and transparency, reproducibility, and knowledge sharing across teams. What You Need A degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques, with … TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter-Efficient Fine-Tuning (PEFT), and Direct Preference Optimization (DPO). Strong problem-solving skills and the ability to work independently or 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 ❯

also view the keynote of V7 Go's launch here: About the role: As an AI Product Engineer, you will be part of the Engineering team with close collaboration with our Solutions team. Your focus will be on pioneering applications of Foundation Models to unlock features within the Go … about staying current with the Foundation Model ecosystem and applying these in practical, innovative ways. Experienced with Large Language Model projects, including API integration, prompt engineering, RAG, fine-tuning, and AI project management. From an engineering background or capable of building technical solutions with strong engineering principles for robustness, trustworthiness, and scalability. Hold a university degree in computer science, engineering, mathematics, or related fields. Skilled in articulating AI solutions to both technical and non-technical stakeholders, aligning value propositions with business needs. Have thrived in a fast-paced SaaS startup or scale-up environment 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 ❯

necessary. Requirements Experience: Degree in Computer Science or related field Industrial experience using ML and GenAI to build NLP components for products Experience with prompt engineering Experience writing, reviewing, and maintaining production-quality Python code for NLP applications Experience working with CI/CD pipelines Experience deploying ML 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 ❯

practitioners ourselves. We are on an exciting journey together, and not everything is solved yet. BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience 5+ years in Software Development and Cloud Computing building performant and scalable applications Experience … working with generative AI models, including text, image, and video generation, and familiarity with key concepts like foundational LLMs, prompt engineering, RAG, and model fine-tuning techniques (such as instruct tuning, PEFT, RLHF). Excellent communication and public speaking skills, with experience delivering technical content to developers of More ❯

Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the … scikit-learn, numpy, scipy, etc - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing - 1+ years experience in building conversational AI and/or natural 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 ❯