76 to 100 of 223 Prompt Engineering Jobs in the UK

working collaboratively in a supportive team environment. Requirements Essential Bachelor's degree ( 2:1 or above ) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, Mathematics, Statistics, or a related STEM discipline. Strong interest in artificial intelligence and emerging technologies. Excellent written and verbal communication skills. Strong … Gemini. Familiarity with Microsoft Excel or Google Sheets for handling data. Basic programming knowledge in Python, SQL, or JavaScript. Understanding of AI, machine learning, prompt engineering, or data analysis through university coursework or personal projects. Previous internship, placement, or personal projects related to AI or technology. Familiarity with ...

fast-evolving market. With a strong focus on innovation, this organisation is embracing modern platforms, AI-driven development practices, and forward-thinking engineering principles to transform how they build and deliver solutions. This is an exciting opportunity to join a business that is not only keeping pace with technological … senior developer ready to take the next step in their career. You'll play a key role in shaping the development function, guiding engineering best practices, and leading the adoption of emerging technologies. This is not a purely managerial position - you'll remain close to the code while influencing ...

hands-on technical leadership role, ideal for a senior developer looking to advance their career. You will be the epicentre of shaping the engineering function, championing best practices and driving the adoption of innovative technologies at an organisational scale. This is a very technically-rounded position rather than … managerial one, where the key focus will be leading the evolution of AI-enabled software development. It includes leveraging prompt engineering, AI-assisted development tools and emerging AI coding approaches to unlock new potential for innovation. Key Responsibilities Lead and mentor a team of developers while remaining actively ...

organization. This role requires a high degree of autonomy and ownership, as you'll be responsible for designing scalable solutions that empower multiple engineering teams while ensuring reliability, observability, and cost efficiency. What are we looking for: 5+ years of experience in Software Engineering, Backend Engineering … building and maintaining backend systems and distributed services in production environments. Experience designing developer platforms, internal tooling, shared services, or infrastructure that supports multiple engineering teams. Hands-on experience building AI-powered applications and services using modern LLM frameworks and agentic architectures. Good understanding of modern AI concepts ...

where the NHSBSA can take you. We are people connected to care. Job description Job responsibilities In this role, you are accountable for: AI Engineering and development 1. Designing, developing, and deploying AI solutions from prototype to production, ensuring scalability, security, and maintainability.2. Collaborate on feature engineering, data … model development, and MLOps. Shares expertise and mentors colleagues and engineers. Excellent understanding of model lifecycle, from experimentation to production. Strong grasp of software engineering principles (SOLID, design patterns), dependency injection, and scalable system design. Strong understanding of NLP, embeddings, and semantic search. Awareness of ethical and privacy implications ...

rapidly deploying impactful solutions, and then seamlessly transferring the application code, cloud integration patterns, robust data models, and operational knowledge to respective business and engineering teams. This hands‐on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs by building reliable, highly scalable … lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management. Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their challenges and customer needs, identify high‐impact opportunities to integrate AI capabilities into applications, and translate business requirements into ...

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing … scorecard: drive delivery efficiency and operational efficiency; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve. • Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. ...

powered products that meet Apple's standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you. Description Our Principal Machine Learning Engineers are technical leaders who shape the direction of intelligent systems across Apple. … establish rigorous benchmarking and evaluation frameworks to measure LLM performance across accuracy, latency, safety, and fairness dimensions. You will drive model customisation strategies, including prompt engineering, parameter‐efficient fine‐tuning (LoRA, QLoRA), and full fine‐tuning, tailored to diverse product requirements. You will design and build production‐grade ...

will lead the evolution of an AI enabled Software Development Lifecycle, defining the technical vision, building the core platform capabilities and establishing the engineering practices that make AI a trusted part of everyday software delivery. Working across Engineering, Platform, Security, Data and Product teams, you'll design … self-service platforms that allow teams to rapidly integrate AI into coding, testing, deployment, monitoring and operations. You'll establish best practices for prompt engineering, RAG architectures, agentic workflows, model versioning, experimentation and governance, ensuring AI capabilities are scalable, secure and production ready. Beyond the technology ...

enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Enterprise Technology - Public Cloud Engineering team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure … tackle a diverse array of challenges that span multiple technologies and applications. As a Senior Machine Learning and Generative AI Engineer in Public Cloud Engineering, you will lead hands-on architecture, development, and production deployment of ML and LLM-powered solutions. You ll apply strong engineering practices, rigorous ...

real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering-everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate . We are data science generalists who love variety. … designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference. If you want to experiment, build ...

financial services business that has built its technology function with a modern, cloud-first approach. With very little legacy technology and continued investment in engineering excellence, the organisation is now placing AI at the centre of its technology strategy. As an AI Engineer, you'll play a key role … designing and delivering innovative AI solutions that support business growth and improve engineering capability across the organisation. Working closely with engineering teams, product stakeholders and senior leadership, you'll help turn cutting-edge AI technologies into real-world business outcomes. The company has invested heavily in creating ...

Openings1CategoryIT/Software DevelopmentBanding3 Job Purpose We're building a Developer Productivity team that will become one of the most visible and impactful engineering groups at RWS. Our mission is simple: help 350+ engineers build, ship, and operate software faster, with less friction, better tooling, and a world-class … developer experience. We're looking for a DevEx Engineer, an IC who combines technical curiosity with genuine enthusiasm for engineering culture, AI-assisted software development, and developer enablement. This is not a traditional DevOps or platform engineering role - it sits at the intersection of AI tooling, developer productivity ...

building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing … skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building ...

closed deal C-suite stakeholders, pitching commercial AI solutions and translating technical capability into business and cost impact Multidisciplinary delivery teams, directing architecture and engineering approach on complex, production-grade AI pipelines The full Applied AI stack - large language models, prompt engineering, RAG, vector databases and MLOps … sales and managing large accounts within Technology, Media or Telecommunications sectors Strong commercial understanding of generative AI and the modern AI stack, including LLMs, prompt engineering, RAG, vector databases and MLOps Experience leading delivery of production AI solutions, with accountability for outcomes and direction of architecture and engineering ...

that enhance consulting delivery, unlock new analytical capabilities, and augment expert judgement. Develop generative AI applications using techniques such as Retrieval‐Augmented Generation (RAG), prompt engineering, and tool‐augmented agents to convert complex, unstructured insurer data into reliable, structured insights, prototypes, and semi‐automated analytical tools. … interfaces over insurer datasets, AI‐assisted exploratory analysis, document understanding, and generation of structured analytical outputs. Apply rigorous AI evaluation and safety practices, including: Prompt and few‐shot experimentation Hallucination detection and mitigation Deterministic and rule‐based validation SME‐driven constraints and edge‐case testing Human‐in‐the‐loop ...

Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across … lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with genuine ML rigour and a healthy scepticism about what models can and can't be trusted to do. Key Responsibilities Partner with ...

Design scalable Retrieval-Augmented Generation (RAG) solutions, managing knowledge bases, vector stores and document ingestion pipelines. Integrate Large Language Models into enterprise applications through prompt engineering, tool calling and context management. Build secure, scalable AI back-end services using AWS Lambda, DynamoDB, S3 and other serverless technologies. Implement … monitoring, tracing and observability to ensure AI applications are reliable, performant and production-ready. Work closely with engineering, product and client teams to shape AI architectures and contribute to technical strategy. Support the delivery of innovative AI capabilities from concept through to production deployment. Main Skills Needed Proven experience ...

agentic AI solutions integrated with Microsoft 365 and line-of-business applications. Lead technical initiatives and establish standards and best practices for conversational design, prompt engineering, and multi-turn agent orchestration. Mentor junior engineers and provide technical guidance to business stakeholders while supporting Fitch’s citizen development program. … Information Technology, with a focus on Microsoft 365, Power Platform, and AI agent solutions. You have 5+ years of hands-on experience leading engineering or support teams within the Microsoft collaboration ecosystem. You have advanced expertise in conversational AI, prompt engineering, solution ALM, and secure architecture. ...

Cloud Platform (GCP) environment, using leading AI and LLM tools Looking at current development processes and identifying where AI can add real value Driving prompt engineering and more modern, AI-led approaches to building and improving systems What they're looking for Experience within insurance or financial services … this doesn't need to be purely technical) Hands-on prompt engineering experience Experience working in a GCP environment (or strong exposure) Someone who already has an AI-first mindset Comfortable working with different teams and speaking to stakeholders Confident enough to suggest ideas and improvements, not just ...

needs of different learner and employer audiences AI Adoption & Workplace Application: Support employers to embed AI tools into business processes Deliver practical training on: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related tools Promote responsible AI use, including governance, data protection … Adaptable, proactive and solution-focused approach Desirable Experience delivering AI or digital apprenticeship standards Experience with Copilot Studio or Power Platform tools Understanding of prompt engineering and AI adoption Knowledge of automation tools and workflow design Awareness of apprenticeship funding and compliance requirements Teaching or training qualification (e.g. ...

needs of different learner and employer audiences AI Adoption & Workplace Application Support employers to embed AI tools into business processes Deliver practical training on: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related tools Promote responsible AI use, including governance, data protection … Adaptable, proactive and solution-focused approach Desirable Experience delivering AI or digital apprenticeship standards Experience with Copilot Studio or Power Platform tools Understanding of prompt engineering and AI adoption Knowledge of automation tools and workflow design Awareness of apprenticeship funding and compliance requirements Teaching or training qualification (e.g. ...

Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core … systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems ...

built on modern cloud data platforms. This is a hands-on technical role focused on designing and implementing production-ready solutions that combine Data Engineering, Analytics and Generative AI capabilities. The successful candidate will act as the technical lead during delivery, translating high-level architectures and business requirements into … Experienced in taking solutions from concept to production. Comfortable operating in ambiguous environments and defining implementation approaches. Experience 6+ years of experience in Data Engineering, Analytics Engineering or AI Engineering. 3+ years of experience leading technical delivery of Data or AI initiatives. Proven experience delivering enterprise-grade solutions ...

strategic direction and system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning and engineering excellence. You will manage, coach and develop a team, with a focus on development of standards and policies, enduring customer relationships and embedding commercial … disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), agentic AI, model evaluation ...