101 to 125 of 182 Prompt Engineering Jobs in England

Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering teams, you'll develop production-grade AI systems, autonomous agents and LLM-powered applications, helping shape the future of AI across the organisation. What … agents capable of reasoning, planning and executing complex workflows. Develop multi-agent orchestration, tool integration and advanced retrieval strategies. Optimise LLM performance through prompt engineering, fine-tuning and evaluation. Work with Platform Engineering to deploy scalable AI services using Microsoft Azure. Mentor engineers and contribute ...

Build and evaluate GenAI/Agentic AI prototypes (Copilot Studio, Azure AI Foundry, Databricks Mosaic AI, Genie, MLflow) Design and tune RAG systems — embeddings, prompt engineering, evaluation Build AI agents using LangChain, LangGraph, AutoGen, and similar frameworks Deploy models via Azure OpenAI, Azure AI Foundry, and Docker Write ...

build scalable, production-ready AI solutions that deliver real business value. Rather than simply developing proofs of concept, you'll be responsible for engineering robust, reusable solutions that become core business capabilities. As a Senior AI Engineer, you'll combine strong full-stack engineering experience with modern … Design reusable components and architecture that can support future AI initiatives across the organisation. Ensure solutions are secure, well-tested, maintainable and aligned with engineering best practice. Provide technical leadership, mentoring and guidance to colleagues whilst remaining hands-on with development. Support and continuously improve production services, identifying opportunities ...

build scalable, production-ready AI solutions that deliver real business value. Rather than simply developing proofs of concept, you'll be responsible for engineering robust, reusable solutions that become core business capabilities. As a Senior AI Engineer, you'll combine strong full-stack engineering experience with modern … Design reusable components and architecture that can support future AI initiatives across the organisation. Ensure solutions are secure, well-tested, maintainable and aligned with engineering best practice. Provide technical leadership, mentoring and guidance to colleagues whilst remaining hands-on with development. Support and continuously improve production services, identifying opportunities ...

build scalable, production-ready AI solutions that deliver real business value. Rather than simply developing proofs of concept, you'll be responsible for engineering robust, reusable solutions that become core business capabilities. As a Senior AI Engineer, you'll combine strong full-stack engineering experience with modern … Design reusable components and architecture that can support future AI initiatives across the organisation. Ensure solutions are secure, well-tested, maintainable and aligned with engineering best practice. Provide technical leadership, mentoring and guidance to colleagues whilst remaining hands-on with development. Support and continuously improve production services, identifying opportunities ...

into production environments Develop scalable ML pipelines using AWS cloud technologies Implement MLOps and LLMOps best practices for deployment, monitoring and governance Support feature engineering, model optimisation and performance monitoring Apply responsible AI principles, including model explainability and fairness Present findings and recommendations to technical and non-technical stakeholders … MLOps tools such as MLflow, Weights & Biases or Data Version Control Experience designing, testing and evaluating machine learning experiments Knowledge of Generative AI, LLMs, prompt engineering and RAG architectures Experience with LLMOps tools such as LangChain, LangSmith or LangGraph Strong understanding of model monitoring, validation and governance Excellent ...

/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain ...

Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial …/or Scala. Experience with Azure cloud technologies including Azure OpenAI and Azure AI Foundry. Knowledge of Spark Structured Streaming, Autoloader and modern data engineering practices. Experience with ETL/ELT, data modelling and scalable data architectures. Familiarity with Azure Data Factory, Qlik Replicate and data ingestion pipelines. Does ...

Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial …/or Scala. Experience with Azure cloud technologies including Azure OpenAI and Azure AI Foundry. Knowledge of Spark Structured Streaming, Autoloader and modern data engineering practices. Experience with ETL/ELT, data modelling and scalable data architectures. Familiarity with Azure Data Factory, Qlik Replicate and data ingestion pipelines. Does ...

Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial …/or Scala. Experience with Azure cloud technologies including Azure OpenAI and Azure AI Foundry. Knowledge of Spark Structured Streaming, Autoloader and modern data engineering practices. Experience with ETL/ELT, data modelling and scalable data architectures. Familiarity with Azure Data Factory, Qlik Replicate and data ingestion pipelines. Does ...

Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial …/or Scala. Experience with Azure cloud technologies including Azure OpenAI and Azure AI Foundry. Knowledge of Spark Structured Streaming, Autoloader and modern data engineering practices. Experience with ETL/ELT, data modelling and scalable data architectures. Familiarity with Azure Data Factory, Qlik Replicate and data ingestion pipelines. Does ...

/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning ...

Generative AI and Machine Learning solutions. This is a hands-on technical leadership role for someone who can operate across AI strategy, architecture and engineering , while still being comfortable getting involved in the technology. The Role You will take technical ownership of AI initiatives from initial concept through … production, working with engineering, product and business stakeholders to build scalable AI solutions. Key responsibilities will include: Leading the technical design and delivery of Generative AI and Machine Learning solutions Designing enterprise-grade LLM, RAG and AI agent architectures Building and integrating conversational, voice-to-text and speech-based ...

experience Desirable Skills Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs) Familiarity with generative AI and prompt engineering Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes Experience working in large, complex organisations or regulated industries *This role ...

agentic systems comply with AI ethics principles, data regulations, and BFT's governance frameworks. Role Requirements Technical Requisites Interest in large language models (LLMs), prompt engineering, and AI agent architectures. Interest in agentic or multi-agent frameworks (e.g., LangChain, AutoGen, CrewAI, OpenAI Assistants, or equivalent). Proficiency ...

Engineer Software Engineering background is required London, UK | Hybrid - 3 days in office - 12-month contract (Inside IR35) We are seeking a AI Engineer with Software Engineering background to join a fast-moving team working across AI platform engineering and direct collaboration with the Investment Team. … role is split approximately 60/40 between platform engineering and business-facing AI delivery, focusing on building and deploying production-grade AI solutions. We are looking for someone who writes clean, production-quality code and can turn AI capability into real business impact. Key Responsibilities Responsibilities Design, build ...

delivering modern cloud, data, AI and application solutions. The business focuses on helping customers unlock the full potential of Microsoft-aligned innovation, combining strong engineering capability with a people-first culture. The environment is values-driven, collaborative and growth-focused, with genuine investment in employee development, wellbeing and long … progression. Role Overview This is a hands-on Senior AI Developer role for someone who wants to build production-grade AI solutions using modern engineering practices. Youll work directly with customers to design and deliver applications that integrate LLMs, agentic systems and Azure AI services. Initially, youll join ...

enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear … monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven ...

Full Stack Developer to play a key role in the evolution of their flagship AI platform. This is an opportunity to work on genuine engineering challenges, combining large-scale data processing, production AI systems and modern software engineering to build a platform that customers rely on to make … important commercial decisions. Working within a small, highly experienced engineering team, you'll have significant ownership from day one and help shape both the product and technical direction. The Role This role sits at the intersection of: Large-scale data engineering and entity resolution. Production AI systems that ...

integrations and automation. Python or another relevant programming language. AI platforms and tools such as OpenAI/Azure OpenAI, Microsoft Copilot or similar technologies. Prompt engineering, RAG, AI agents or intelligent workflow automation. Working with business systems and data. Taking technical projects from discovery and prototype through … importantly, you'll be comfortable speaking with non-technical stakeholders, asking the right questions and turning operational problems into practical solutions. Experience within construction, engineering or another operationally complex environment would be useful, but isn't essential. Why This Role? This isn't a position where you'll inherit ...

Office-based Working Hours: 40 hours per week (Full-time) Are you looking to drive AI-first transformation and redefine the future of software engineering? We have an exciting opportunity for you - AI Architect ! Careers at TCS: It Means More TCS is a purpose-led transformation company, built … matters through challenging projects that demand innovation, collaboration, and thought leadership. Play a strategic role in transforming business and technology delivery through AI-first engineering practices. Shape the adoption of AI across software development, IT service delivery, and business transformation programmes. Lead innovation initiatives that drive measurable improvements ...

evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery of AI tools, in particular Claude Desktop … governance, and fostering a culture of responsible AI adoption across the organization. Education Bachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related field Responsibilities Own the product lifecycle for increasing AI integration across Moody's business services and making Moody ...

cloud and/or locally hosted LLMs (e.g. OpenAI, Anthropic, Azure OpenAI, open-source models) into live products Build RAG pipelines, agentic workflows, and prompt/conversation systems Collaborate with data, product, and engineering teams to translate business requirements into technical solutions Implement CI/CD pipelines, monitoring … plus cloud platforms (Azure, AWS, or GCP) Hands-on experience with LLM-based application development (RAG, agents, copilots) Familiarity with vector databases, embeddings, and prompt engineering Experience with containerisation and orchestration (Docker/Kubernetes) a plus Strong understanding of scalable, production-grade system design Comfortable working across experimentation ...

will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies. Key Responsibilities Take concepts from problem statement through to working proof-of-concept … technologies, particularly Gemini-based solutions. Strong Python development skills, with TypeScript experience highly desirable. Full stack development experience, with a particular strength in backend engineering and API development. Experience building applications using React, Next.js, Svelte or similar modern front-end technologies. Strong knowledge of SQL, NoSQL and vector databases ...

technologies, and large language models. You'll work on customer-facing projects, developing scalable, production-ready solutions while helping establish best practices for AI engineering across the wider development team. Key Responsibilities Design, build, and deploy AI-enabled software solutions. Develop applications using technologies such as .NET, Python, React … understand requirements and deliver practical technical solutions. Define technical standards, reusable components, and development best practices. Evaluate emerging AI technologies and recommend improvements to engineering processes. Mentor developers and contribute to the growth of AI capability within the team. Skills and Experience Essential Strong commercial experience in full stack ...