101 to 125 of 138 Prompt Engineering Jobs in England

Company They are a tech‐forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart … secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP. • Embed security, compliance, GDPR controls and best‐practice engineering with clear documentation and stakeholder collaboration. Your Skills and Experience To be successful, you will bring: • Strong Python skills for backend services, SDKs ...

automation, and data-driven decision-making. Working with modern data platforms, high-quality datasets, and cutting-edge AI frameworks, you will collaborate closely with engineering, product, and analytics teams to build scalable, explainable, and production-ready solutions that support digital transformation initiatives. Your Profile Essential Skills & Experience … GenAI evaluation tools such as RAGAS, DeepEval, or Pegasus Strong programming skills in Python (LangChain, LangGraph, LangSmith) and preferably TypeScript Solid understanding of LLMs, prompt engineering, and graph-based workflows Experience implementing guardrails (hallucination control, PII filtering, bias mitigation) Knowledge of API development, microservices architecture, and distributed systems ...

engineers, analysts, product managers, and domain experts to translate business requirements into well‐defined modelling tasks. Build end‐to‐end ML pipelines—from feature engineering and preprocessing to deployment‐ready model outputs. Essential skills/knowledge/experience: Hands-on experience with GenAI, Gemini or Open source LLMs … Strong programming skills in Python (experience with LangChain/LangGraph/LangSmith frameworks) and TypeScript ( preferable ) Solid understanding of LLMs, prompt engineering, and graph-based workflows. Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc. Implemented security best practices, Experience ...

adoption within the organisation. This is an excellent opportunity for a senior practitioner who can combine technical depth, research‐grade thinking, and hands‐on engineering—operating with a high degree of independence and responsibility. Key Responsibilities Lead the design, development, and optimisation of AI models , including transformer‐based architectures … solutions in complex or high‐security environments. Desirable Skills Experience with MLOps, LLMOps, or production‐grade AI deployments. Knowledge of vector databases, RAG, and prompt engineering techniques. Exposure to government, defence, or national security domains. Who This Role Suits A senior‐level AI/ML specialist who wants ...

GitHub Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. GenAI & Agentic Frameworks: Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with ...

real-world operational workflows in this space and have over 50 AI models running in production today. The role his is not a prompt engineering or prototype role. You will own LLM systems end to end in production, including: Building and deploying LLM applications and agent workflows Monitoring ...

closely with teammates across disciplines and have the opportunity to learn from experienced engineers and leaders. Key responsibilities include: Supporting and contributing to data engineering projects, helping ensure delivery within scope and timelines. Working alongside supportive team members to develop and maintain data pipelines and infrastructure. Partnering with cross … collaborative, inclusive, and growth-focused team culture. What youll bring A Bachelors degree in a relevant field or equivalent experience. Experience with modern data engineering tools and technologies. A growth mindset and passion for continuous learning. Understanding and hands-on experience with Transformer models and LLMs (e.g., GPT, LLaMA ...

establish protocols and best practices when using AI-based coding to roll out team-wide standards. Establish conventions for project structure, markdown specifications, prompt design, and code review in AI-assisted workflows. Identify where AI-assisted development accelerates delivery and where it requires more careful oversight. Ensure AI-generated … release practices appropriate to the team's scale. Define standards for testing, code review, and code health that the team can follow consistently. Ensure engineering plans and test schedules are clearly defined and communicated. Team Guidance & Culture Serve as the lead the team can look to for technical guidance ...

into clear, value-based messaging for non-technical and senior audiences Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and model context protocol (MCP) Demonstrated hands‐on proficiency with AI‐assisted development tools such as Claude Code, Cursor … Copilot Comfort operating in ambiguity with the ability to shift priorities as market or customer needs evolve Proven ability to collaborate across Sales, Product, Engineering, and Strategy teams Excellent communication, presentation, and stakeholder‐management skills Familiarity with public‐sector missions such as financial administration, economic development, security and intelligence ...

Background in **product management**, **QA/test automation**, or **ML evaluation frameworks** with experience designing structured test systems at scale. Strong knowledge of **LLMs**, prompt engineering, and tool-augmented LLM workflows. Experience with test automation, scenario design, evaluation metrics and quality frameworks in complex systems.Familiarity with **financial data ...

lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context. Learning and Development: Keeping ...

Design and development of Machine Learning/Artificial Intelligence/Computer Vision-related video & audio software Work with generative AI tools and contribute to prompt engineering for intelligent media processing Collaborate with experienced engineers to design systems for anomaly detection, audio transcription, and event-based alerts Shape early ...

Software Engineer – AI and Data, Permanent – West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting team ...

Software Engineer AI and Data, Permanent West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting team ...

fast-growth environments) Role 1: AI Engineer Expert-level Python with exposure to frontend technologies (TypeScript/React preferred) Hands-on experience with LLMs, prompt engineering, and evaluation frameworks Ability to ship AI-powered features end-to-end Minimum 3 years of experience Role 2: Applied AI Engineer … Strong backend engineering experience (Python preferred) Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows Experience building RAG pipelines and AI agent orchestration systems Minimum 5 years of experience 📩 Interested? Message me here or email mmatysik@trg-uk.com ...

turns raw information into actionable insight and automated workflows for enterprise customers. Working directly with the founders, you will shape the architecture, infrastructure, and engineering culture from day one while building a product designed to scale into a major enterprise platform. What They’re Looking For TypeScript development React … frontend development Python development PostgreSQL database architecture LLM orchestration and prompt engineering Data ingestion pipelines including APIs, RSS feeds, and web scraping Vector databases and modern AI data pipelines Cloud infrastructure and SaaS deployment Observability, testing frameworks, and CI pipelines Proven ability shipping real products such as SaaS ...

urgency in real-time customer interactions. The Role As a Technical Program Manager – GenAI Safety & Experience , you will operate at the intersection of Product, Engineering, and Data to ensure AI deployment is both fast and safe. You’ll define safety standards, oversee GenAI feature rollouts, and ensure exceptional user … data to identify risks and edge cases Drive A/B testing and feedback loops to improve model performance 🔹 Cross-Functional Leadership Collaborate with Engineering, Legal, Privacy, and Global Safety teams Act as the bridge between technical and operational stakeholders Success Metrics Reduction in Safety False Negatives Improved Model ...

investigations and risk detection.Risk Mitigation: Conduct "Red Teaming" on support bots to protect against safety protocol breaches.Cross-Functional Leadership: Collaborate with teams across Product Engineering, Legal, Privacy, and Global Safety Operations. The Profiles We Need:We're seeking "T-shaped" experts who can bridge the worlds of Product, Tech … Score." Qualifications: Experience: 7+ years in Product Management, TPM, or Data Science, ideally in Trust & Safety or Customer Experience.AI Fluency: Strong understanding of LLMs, prompt engineering, and ethical AI implications.Analytical rigour: Proficiency in SQL; familiarity with Python/R is a bonus for Data Science tracks.Adaptability: Thrives ...

risk detection. Risk Mitigation: Conduct "Red Teaming" on support bots to protect against safety protocol breaches. Cross-Functional Leadership: Collaborate with teams across Product Engineering, Legal, Privacy, and Global Safety Operations. The Profiles We Need: We're seeking "T-shaped" experts who can bridge the worlds of Product, Tech … Qualifications: Experience: 7+ years in Product Management, TPM, or Data Science, ideally in Trust & Safety or Customer Experience. AI Fluency: Strong understanding of LLMs, prompt engineering, and ethical AI implications. Analytical rigour: Proficiency in SQL; familiarity with Python/R is a bonus for Data Science tracks. Adaptability ...

item has a clear path to ROI. You will be responsible for defining user stories and functional requirements that translate business needs into actionable engineering tasks. Consult with the Lead AI & Innovation Engineer to ensure the technical roadmap aligns with the commercial priorities of the business. Design … technical deployments (e.g., hours saved, revenue unlocked, or adoption % targets met). Nice to Have Skills Ability to "play" with the tech (Prompt Engineering, No-code tools) to build Proof-of-Concepts. Formal experience or certification in organisational change or internal training/enablement. Specific familiarity with ...

Desirable: Experience of source control systems such a git Experience of AGILE approach to software development following GDS principles Experience of using AI/Prompt engineering to aid development Experience of scientific data formats such as NetCDF, BUFR, GRIB In this role you will: Develop software to meet ...

delivery tools, supporting effective implementation in client environments and ensuring we deliver measurable value. You’ll also build confidence in key AI concepts like prompt engineering, LLMs, and RAG, helping translate customer needs into practical, trustworthy AI-enabled solutions. Key Responsibilities Problem Definition & Discovery (Supported Ownership) Support discovery … first-pass requirements Identify gaps, edge cases, and assumptions Ensure final requirements are: Understandable Testable Reviewed and approved by accountable stakeholders AI-Assisted Analysis & Prompt Contribution Contribute to the creation and refinement of analysis and discovery prompts Follow established prompt standards to ensure: Reusability Auditability Safe handling ...

Python and AWS CDK Desirable Skills: Git or other source control experience Agile development experience aligned with GDS principles Experience with AI/Prompt engineering Familiarity with scientific data formats (NetCDF, BUFR, GRIB ...

Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement ...

Experience of source control systems such as Git Experience of AGILE approach to software development following GDS principles Experience of using AI/Prompt engineering to aid development Experience of scientific data formats such as NetCDF, BUFR, GRIB ...