76 to 100 of 129 Prompt Engineering Jobs in England

experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project ...

deployment of cutting-edge generative AI solutions within the Microsoft ecosystem . This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure … Knowledge of Docker and containerized deployments. Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral. Expertise in applying prompt engineering techniques to improve model performance and reliability. Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices. Familiarity with Microsoft GenAI ...

DoingTechnical Leadership Set the technical direction and lead architectural decision-making Mentor and support junior and senior engineers Conduct code reviews and uphold engineering best practices Backend Engineering Build and maintain scalable backend services and RESTful APIs Design and optimise MongoDB database solutions Improve and maintain existing backend … implement robust solutions Collaboration & Delivery Work closely with cross-functional teams to deliver meaningful customer outcomes Participate in technical interviews and help grow the engineering team Drive improvements in processes, tooling, and development practices Core Technical Skills Youll thrive if you have experience with: MongoDB (data modelling, indexing, aggregation ...

LLMs with enterprise data MLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying … MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric ...

systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement … offerings What We’re Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building enterprise RAG solutions using ...

Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc.). Fine-tuning and prompt engineering. Experience with vector similarity search. Knowledge of popular vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus. Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging ...

experienced AI Engineer to deliver end-to-end Agentic AI and Generative AI solutions for enterprise clients. This role blends hands-on engineering with consultative delivery, solution design, and client-facing impact. What You’ll Work On Designing and implementing Agentic AI architectures for enterprise workflows. Building and deploying … agents. Developing custom copilots, plugins, and declarative agents using Microsoft Copilot Studio and Azure AI Agent Service. Operationalising AI solutions using Microsoft AI Foundry, Prompt Flow, and scalable Azure deployment patterns. Leading client workshops to identify high-value AI use cases and shape AI strategy. What You Bring Strong ...

talent to get ahead of disease together. Role Overview GSK are seeking a Senior Full Stack AI Engineer with a strong focus on frontend engineering, user experience and product delivery. You will lead the design and implementation of immersive, interactive web experiences that leverage large language models (LLMs …/design to craft flows, run rapid prototypes, and iterate based on user testing and analytics. Integrate LLMs into the application stack, handling prompt design, response parsing, tool use, chaining, and RAG strategies while balancing latency, cost and reliability. Implement frontend architectures and state management patterns that scale ...

technology teams. Proficiency in Python or R; hands-on familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, LangGraph). Strong prompt engineering skills and experience translating complex workflows into structured, agentic tasks. 7+ years of experience in investment management workflows (research, portfolio construction, trading ...

intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs … JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine-tuning only when needed. Fine-tune and optimise ML models and LLMs to enhance performance ...

APIs, tools, databases, and front-end interfaces Collaborating with product managers, designers, and engineers across the business Contributing to system architecture, technical design, and engineering best practices Supporting rapid prototyping, experimentation, and iteration of AI-driven features Ensuring solutions are robust, secure, and production-ready About You Essential experience … Demonstrable, hands-on experience building agentic AI systems Strong experience with LangChain (or similar agent frameworks) Solid full stack engineering background (e.g. Python and/or TypeScript, APIs, modern front-end frameworks) Experience working with LLMs, prompt engineering, and agent orchestration Comfortable working in agile, collaborative engineering ...

related libraries. • Experience with agentic AI architectures and autonomous AI agents. • Hands-on experience with LangGraph or similar orchestration frameworks. • Understanding of AI lifecycle: prompt engineering, agent workflows, deployment, and monitoring. • Familiarity with LLMs and multi-agent systems. About Us: Ascendion is a leading provider of AI-first … software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have 30+ offices across the U.S., UK, Poland, Romania, India, Australia ...

orchestrate AI agents, automate complex workflows, and extract value from structured and unstructured data at scale. This role sits at the intersection of AI engineering, software development, and applied machine learning , working closely with product, platform, and data teams. Key Responsibilities Design, build, and deploy agentic AI systems … with AI orchestration frameworks (e.g. LangGraph, LangChain, custom agent frameworks) Experience building and deploying machine learning models in production Understanding of the AI lifecycle : prompt engineering, workflow orchestration, deployment, evaluation, monitoring Experience working with RegTech or regulated environments. Solid knowledge of API development, data pipelines, and system integration ...

them. Implement identity & access (Entra ID), data isolation, Key Vault secrets, network security (Private Endpoints), and content filtering. Embed Responsible AI practices: safety filters, prompt/content governance, data privacy, red-teaming guidance, and human-in-the-loop review where needed. Ensure regulatory alignment (e.g., GDPR, ISO controls … SLIs/SLOs for AI services. Drive FinOps disciplinecapacity planning, token/cost controls, caching strategies, and model selection/optimization. Mentor engineers on prompt engineering, grounding, tool-use patterns, and quality evaluation frameworks. Essential skills: 15+ years overall in software/solution architecture with 7 + years ...

APIs, tools, databases, and front-end interfaces Collaborating with product managers, designers, and engineers across the business Contributing to system architecture, technical design, and engineering best practices Supporting rapid prototyping, experimentation, and iteration of AI-driven features Ensuring solutions are robust, secure, and production-ready About You Essential experience … Demonstrable, hands-on experience building agentic AI systems Strong experience with LangGraph (or similar agent frameworks) Solid full stack engineering background (e.g. Python and/or TypeScript, APIs, modern front-end frameworks) Experience working with LLMs, prompt engineering, and agent orchestration Comfortable working in agile, collaborative engineering ...

Doing Designing and developing machine learning models across forecasting, classification, and anomaly detection use cases. Building and deploying GenAI and LLM-enabled solutions, including prompt-driven and RAG-based architectures. Running structured experimentation cycles, defining hypotheses, designing experiments, and evaluating results within governance constraints. Transitioning validated experiments into production … production environments. Familiarity with MLOps tooling such as MLflow, Weights & Biases, or Data Version Control. Experience developing or integrating LLM and GenAI applications, including prompt engineering and retrieval-augmented generation. Ability to work across disciplines and communicate technical findings clearly. A pragmatic mindset and good judgement about when ...

join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits … identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency ...

Data and AI solutions? We’re looking for a Lead AI Engineer to join our growing team, where you’ll balance hands-on engineering with technical leadership. You’ll play a pivotal role in designing and delivering advanced AI solutions while also mentoring and developing junior team members, helping … agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search. Familiarity with AI agent frameworks (e.g. Autogen AI) and digital assistant solutions such as Microsoft Copilot. Knowledge ...

agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search. Familiarity with AI agent frameworks (e.g. Autogen AI) and digital assistant solutions such as Microsoft Copilot. Knowledge … cloud-native engineering techniques for scalable AI deployment. If youre interested but not sure if your skills match every requirement, please apply wed love to hear from you! Employment Type: Full-time, Permanent Location: UK Wide (occasional travel for client or team meetings) Security Clearance Level: SC Eligible Salary ...

hardware teams to translate novel LLM capabilities into robust applications; stay current with emerging AI and distributed computing technologies. Apply best practices for software engineering, including code reviews, automated testing, security and CI/CD; troubleshoot and resolve production issues. 5+ years of software development experience building scalable backend … systems; strong knowledge of distributed system architecture, concurrency and microservices. Experience developing LLM‐powered applications, including prompt engineering, RAG and agentic frameworks. Proficiency in one or more programming languages such as Python, Java, Go or Rust; experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes). ...

directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience … experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB. Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions . A strong interest in computer vision ...

content and contribute to go-to-market propositions Maintain strong awareness of emerging technologies and the competitive AI landscape Collaborate closely with data science, engineering and business teams to design robust end-to-end solutions Contribute to account strategy, aligning technical delivery with business priorities Drive productivity improvements … automation Essential Skills for the Artificial Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automation Strong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOps Experience delivering enterprise-scale RAG solutions using LLMs and vector databases Ability to design ...

tune Large Language Models (LLMs) and other generative architectures. Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning. Experiment with model configurations to balance performance, cost, and scalability. Build robust data pipelines for continuous model improvement ...

will also have some full stack capability in React or Nod or similar. The successful Data Scientist will be able to lead the engineering direction as they look to grow their team rapidly over the next 12 months. Skills and Responsibilities • Has strong technical depth and can think … reporting • Brings some background in data science or statistical modelling • Is highly flexible, entrepreneurial, and excited by a big challenge • Can eventually lead the engineering direction of the product as we grow • Has interest or experience in AI/LLMs, training models, and applied ML • Strong full-stack capability ...

Data Scientist will ideally also have some technology experience in Python, React, Node or similar. The successful candidate will be able to lead the engineering direction as they look to grow their team rapidly over the next 12 months. Skills and Responsibilities • Has strong technical depth and can think … reporting • Brings some background in data science or statistical modelling • Is highly flexible, entrepreneurial, and excited by a big challenge • Can eventually lead the engineering direction of the product as we grow • Has interest or experience in AI/LLMs, training models, and applied ML • Ideally full-stack capability ...