76 to 100 of 188 Prompt Engineering Jobs in England

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 ...

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 ...

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 ...

support AI applications Build scalable data pipelines for AI model training and inference Fine-tune, evaluate and optimise machine learning models Collaborate with software engineering teams to integrate AI capabilities into existing products Monitor model performance and implement continuous improvement processes Ensure AI solutions are secure, scalable and compliant … Language Models (LLMs) Knowledge of Generative AI technologies RAG (Retrieval Augmented Generation) implementation experience NLP and Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data ...

Data Financial Services practice, focused on delivering large-scale AI transformation across Banking. This role sits at the forefront of enterprise AI engineering, architecture, and delivery leadership , helping major financial institutions design, build, and operate scalable AI systems that modernise core business processes. You will operate across the full … team development . Key Responsibilities Translate senior stakeholder vision into AI transformation strategies, architecture, and delivery roadmaps Lead and oversee multi-disciplinary AI engineering teams and workstreams Design and deliver enterprise-scale AI systems, including agentic and GenAI solutions Collaborate with architects, data scientists, DevOps, and business stakeholders ...

DevOps Lead - AI-Enabled Software Engineering Location: Reading (Hybrid) Permanent We are seeking an experienced and hands-on DevOps Lead to join a leading digital infrastructure organisation undergoing significant technology transformation. This is a unique opportunity to lead a high-performing software engineering team while driving the adoption … assisted development practices across the software delivery lifecycle. As DevOps Lead, you will be responsible for setting the technical direction, owning the engineering roadmap, and ensuring the successful delivery and ongoing support of bespoke cloud-based applications. You will combine strong leadership capabilities with hands-on software development experience ...

join our AI Platform team and help build the GenAI platform that powers every AI feature at Flo. You will bridge core infrastructure, data engineering, and LLM development to deliver production-grade medical safety judges, fine-tuning pipelines, evaluation frameworks, and real-time personalisation. The team operates 60+ … maintains active partnerships with Databricks, Google, OpenAI, Anthropic, and AWS. What You’ll Do LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation orchestration using MLflow 3.x Fine-Tuning and Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain ...

Principal, AI/ML Engineer leads the design, delivery and continuous improvement of AI and ML solutions within their area of responsibility, aligning engineering activities to the Bank’s broader AI strategy and long-term objectives. The role combines strong technical leadership with a clear focus on delivery outcomes … operates with a clear understanding of the wider technology landscape, contributing to strategic direction while taking accountability for translating this into practical, high-quality engineering outcomes across squads. Leads the definition and execution of AI/ML engineering direction across one or more squads, ensuring alignment with ...

Technical Lead – Java (AI Enabled) Engineering · UK About Xceedance Xceedance is a global provider of strategic consulting, managed services, and technology solutions to the insurance industry. We help insurers, reinsurers, brokers, and MGAs modernize operations, enhance underwriting and claims capabilities, and accelerate digital transformation using data, analytics, and advanced … accomplished Technical Lead with deep Java expertise and demonstrated experience integrating AI/ML capabilities into production systems. This role combines hands-on engineering with technical leadership — you will own the architecture and delivery of cloud-native microservices on our BPA (Beyond Policy Administration) platform, lead a team ...

technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 10+ years in software engineering, with hands-on AI system design, build or integration, and a track record of taking AI prototypes … production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs ...

technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements Engineering experience: 10+ years in software engineering, with hands‐on AI system design, build or integration, and a track record of taking AI prototypes … production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs ...

unique is welcome; join us and let’s build what’s next - together! Team Description As part of the ADO team under GPTO Engineering, you’ll report to the Sr. Director of Engineering. This team is accountable for Performance test automation, configuration, and verification delivering repeatable performance comparison testing … diagnosis across a range of ADO operations at enterprise scale, enabling high‐performance AI‐driven workloads, and acting as a technical bridge between engineering and architecture. Your Impact Build, mentor, and scale a high‐performing engineering team based on actual demand and delivery needs Provide hands‐on coaching ...