251 to 275 of 524 Prompt Engineering Jobs in the UK

models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production-ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a … s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is More ❯

support client demos. Data Governance & Security: Ensure compliance with data policies and implement best practices in data privacy and ethical AI. What will you need? BSc in Computer Science, Engineering, Statistics, or related field with a passion for AI Proficiency in coding generative AI models, prompt engineering, and LLMs Familiarity with AI/ML algorithms, cloud deployment More ❯

with product, data, and bioinformatics teams to build AI solutions that are useful and scientifically aligned. Optimize model performance in production: latency, output quality, token usage, robustness. Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments. We would like you to have: 6+ years of software development with strong … Anthropic) and orchestration frameworks (e.g., LangChain, LlamaIndex), including in production. Experience with retrieval pipelines and vector DBs for semantic search in LLM workflows. Strong grasp of agentic workflows and prompt engineering, including iterative refinement techniques. Excellent communication skills and team collaboration. Genuine interest in life sciences and applying AI in bioinformatics. Fluent English, written and spoken. It would More ❯

integrating Power Platform with other systems using Azure integration services or other API management platforms. AI Knowledge : Familiarity with AI concepts and frameworks, including Large Language Models(LLM), RAG, Prompt Engineering, Azure Cognitive Services and AI Builder. Certifications : Relevant certifications in Microsoft Power Platform and/or Azure/AWS cloud. About Capgemini Capgemini is a global business … unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 More ❯

the development of our AI strategy that includes the use of GenAI and agentic, data-driven experiences across Nomia’s platform. You will sit at the intersection of product, engineering, procurement strategy and the customer — building AI solutions that intelligently manage dynamic sourcing flows, sourcing tasks, onboarding processes, and drive real business outcomes. Responsibilities Supporting the development of the … etc.) and ensure business case is measured Skills/Qualifications Direct experience dealing with SaaS platforms in the procurement industry focusing on scalable, AI-driven solutions Familiarity with LLMs, prompt engineering, and inference workflows from a user experience perspective Interaction with AI technology training and iteration from MVP to fully autonomous and self-learning Track record for delivering More ❯

the development of our AI strategy that includes the use of GenAI and agentic, data-driven experiences across Nomia’s platform. You will sit at the intersection of product, engineering, procurement strategy and the customer — building AI solutions that intelligently manage dynamic sourcing flows, sourcing tasks, onboarding processes, and drive real business outcomes. Responsibilities Supporting the development of the … etc.) and ensure business case is measured Skills/Qualifications Direct experience dealing with SaaS platforms in the procurement industry focusing on scalable, AI-driven solutions Familiarity with LLMs, prompt engineering, and inference workflows from a user experience perspective Interaction with AI technology training and iteration from MVP to fully autonomous and self-learning Track record for delivering More ❯

Our Roku Mobile Backend team designs and implements robust backend services powering our mobile apps, ensuring optimal performance, low latency, and seamless scalability. If you're passionate about backend engineering and thrive on delivering innovative mobile-cloud solutions, we'd love for you to join us. We collaborate closely with client-side engineers, other backend teams, and product management … Collaborate cross-functionally with product, design, frontend, and other backend teams, driving seamless integration, consistency, and exceptional user experiences. We're Excited If You Have Expertise of backend software engineering Bachelor's or master's degree in computer science, Engineering, or related field (or equivalent experience). Strong proficiency in backend languages like Java or Python. Proficiency in … using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering Demonstrable experience designing, building, and maintaining RESTful APIs, utilizing HTTPS, JSON, and WebSocket. Hands-on expertise developing and operating large-scale cloud services using Docker and Kubernetes. Proven capability in writing and maintaining comprehensive automated unit and integration tests. Deep understanding of distributed systems, microservices architecture More ❯

possible. Our ability to understand and curate content is critical to Reddit’s continued growth and success. The team needs a backend engineer who is well-versed in LLMs: prompt engineering, scripting jobs, retrieval-augmented generation, and automated data processing. To accelerate our goals, the team needs an engineer who can utilize the latest LLMs to parse through More ❯

team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by … necessary. Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters. Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs. Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings. Optimize models for … learning in other modalities such as vision and speech would be a strong bonus. A strong understanding of the math and theory behind machine learning and deep learning. Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review). An understanding of Language Models, using More ❯

team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by … necessary. Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters. Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs. Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings. Optimize models for … learning in other modalities such as vision and speech would be a strong bonus. A strong understanding of the math and theory behind machine learning and deep learning. Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review). An understanding of Language Models, using More ❯

team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by … necessary. Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters. Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs. Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings. Optimize models for … learning in other modalities such as vision and speech would be a strong bonus. A strong understanding of the math and theory behind machine learning and deep learning. Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review). An understanding of Language Models, using More ❯

improvement.* Communicate with internal enablement teams and third-party vendors to integrate new technology and AI enablement into the business**What we're looking for*** A solid full stack engineering background with experience in C#, .NET, SQL, Python, TypeScript, and Azure PaaS.* Experience with infrastructure as code i.e. ARM/Terraform/Bicep* Extensive experience in designing and developing … with Azure AI Foundry.* Good experience of applying AI productivity tools (e.g. ChatGPT, Gemini, Copilot in Microsoft 365) in daily workflows for task automation, documentation, and planning.* Skills in prompt engineering and chaining techniques to optimise LLM outputs for production use.* Experience in developing AI-driven user interfaces using modern frameworks (e.g., React, Angular) with real-time interaction More ❯

systems that enhance the Appwrite platform. Identify opportunities to integrate AI features into the developer experience (e.g., intelligent code suggestions, documentation search, etc). Work closely with Product and Engineering teams to prototype and ship AI-driven features. Fine-tune and evaluate open-source as well as commercial LLMs. Monitor drift, performance, accuracy, and efficiency of AI systems in … and related areas. Strong programming skills in Python (or similar), with experience in ML frameworks like PyTorch, TensorFlow, or HuggingFace. Hands-on experience with LLMs, embeddings, vector databases, and prompt engineering. Familiarity with deploying models in production environments (Docker, Kubernetes etc.). Passion for developer tools, open-source culture, and improving developer workflows. Excellent communication and collaboration skills in More ❯

APIs and scale them. DevOps Chops: AWS, Docker, CI/CD—you’ve shipped and scaled infra before. AI Native: You’ve built with OpenAI, Claude, or open models; prompt-engineering isn’t new to you. Database Fluency: MongoDB, PostgreSQL, Redis—you know when and why to use each. High Agency: You don’t wait for tickets. You More ❯

Express, Firebase, or Supabase. Experience integrating Slack API and Twilio/WhatsApp Business API. Proven ability to work with LLMs (OpenAI, Claude, Mistral, etc.) in production environments. Understanding of prompt engineering, context window strategies, and vector memory (e.g., Pinecone, ChromaDB). Experience with AI pair programming tools such as Cursor AI, GitHub Copilot, or Cody (non-negotiable). More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯