1 to 25 of 82 Permanent Prompt Engineering Jobs in London

generation. At AKQA, we are not exploring this future theoretically. We are already building it. We are looking for a Director, Generative AI Experience Engineering to define and deliver the next generation of AI‐native customer experiences across commerce, content and customer interfaces for some of the world … most ambitious brands. This role sits at the intersection of AI systems engineering, generative experience design and modern frontend architecture leadership. We are not looking for a traditional engineering manager, nor a pure AI researcher removed from delivery. We are looking for a hands‐on technical leader ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

Engineer Manager/Associate Director | Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit … experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will ...

Summary We\'re seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You\'ll build production-ready AI features that empower business users to leverage the power of GenAI … within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations ...

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 ...

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 ...

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 ...

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 ...