26 to 50 of 69 Prompt Engineering Jobs in London

design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive innovation and deliver measurable business … libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). ...

design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive innovation and deliver measurable business … libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). ...

scalable AI applications that integrate into modern cloud and enterprise platforms. The Role You will develop end-to-end AI solutions , combining modern software engineering with advanced machine learning and generative AI capabilities. Key Responsibilities Build and deploy full-stack AI applications including APIs, services, and user-facing interfaces. … cloud environments . Collaborate with data scientists, engineers and business stakeholders to deliver impactful AI products. Contribute to technical best practices, innovation, and AI engineering standards . Key Skills & Experience Strong Python development experience with AI/ML/NLP libraries (Hugging Face, spaCy, NLTK). Experience building applications ...

market? We’re hiring experienced Lead GenAI System Architects to join a world-class AI Institute – a centre of excellence driving cutting-edge Engineering, AI & Data innovation. You’ll work with senior leaders, global clients, and multidisciplinary teams on transformative Generative AI initiatives that redefine how organisations operate. This … Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security. Hands-on experience with fine-tuning, deploying, and monitoring large-scale GenAI systems. Strong MLOps/ ...

regulated healthtech Deployed LLMs or predictive models in production environments Familiarity with FHIR, HL7, or secure health data pipelines Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/QLoRA) The Package Competitive salary + meaningful equity Work directly with and be mentored by two highly experienced ...

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 ...

operations, improve productivity and unlock new value through AI. Your Experience We're looking for a strong mix of AI architecture expertise, hands-on engineering knowledge and consulting capability. Key Skills & Experience Proven experience architecting Generative AI, Agentic AI, machine learning and automation solutions in enterprise environments. Strong expertise … such as LangChain, LlamaIndex, AutoGen, CrewAI or LangGraph . Experience designing AI systems using vector databases (e.g. Pinecone, Weaviate, FAISS). Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies . Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow). Knowledge ...

with LLM APIs and deep understanding of capabilities, limitations, and failure modes. Practical experience implementing RAG architectures, vector/graph databases, knowledge graphs, and prompt engineering. Experience building multi-step LLM workflows and agentic systems using frameworks (e.g., LangChain, LangGraph, Claude Agents SDK) or custom solutions. Strong Python ...

tangible mark on how people develop their careers. This is a role for someone who's done real AI work inside a high-calibre engineering organisation and worked closely with product. What you'll do Design and deploy LLM/RAG systems (GPT, Claude, Gemini) powering content generation, semantic … model in a notebook you've taken it to real users, measured it, and iterated. You've done this inside organisations that take engineering seriously. Whether that's a top-tier tech company, a defence/intelligence-grade AI startup, or a fast-scaling data-led business you know ...

such as PyTorch, TensorFlow, or scikit-learn. LLM Experience: Proven experience working with large language models (e.g. GPT, Claude, Gemini) in production environments, including prompt engineering, evaluation, and safety considerations. Strong Engineering Skills: Proficiency in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications. ...

delivery Required Experience Proven experience as an AI Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI Experience with Kubernetes, Docker, microservices, API integration Strong knowledge ...

Demonstrated experience as an AI Architect, Machine Learning Architect, or Generative AI Architect Strong hands-on expertise with LLMs, RAG architectures, LangChain, LangGraph, and prompt engineering Deep cloud knowledge including Azure OpenAI, AWS Bedrock/SageMaker, or GCP Vertex AI Experience with Kubernetes, Docker, microservices architectures ...

optimise machine learning and NLP models in production Develop end-to-end data science pipelines Design and prototype Generative AI solutions (LLMs, embeddings, prompt engineering) Work with BigQuery ML and cloud platforms for large-scale modelling Translate business challenges into scalable data solutions Collaborate with cross-functional teams … across engineering and business Mentor junior team members where required Required Experience 10+ years in Data Science, Machine Learning, or AI Engineering Strong Python skills and experience with ML frameworks Proven track record delivering end-to-end ML/NLP solutions Hands-on experience with Generative AI (LLMs ...

broader Microsoft tooling. This role suits someone who is highly autonomous, delivery‐focused, and capable of handling a wide mix of early-stage engineering, documentation, prototyping and solution shaping This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 2 days … week on site. What You’ll Be Doing: AI Engineering & Build Designing and building AI solutions using: Azure AI Foundry M365 Agents Copilot extensions/plugins Micro stack orchestratinsmkl1on Python as the primary engineering language Creating purpose‐built AI agents aligned to CRM AI business maps, workflow automation ...

Solution Architect, you will play a pivotal role in designing and delivering advanced Generative AI solutions for enterprise customers. You’ll collaborate with engineering, product, and business teams to architect robust systems while advising clients on the best ways to deploy AI within complex environments. You’ll also … evolution of the company’s AI platform. What You’ll Be Doing • Architect and implement enterprise Generative AI solutions using LLMs, RAG pipelines, prompt engineering and frameworks such as LangChain • Design scalable AI systems using Azure OpenAI, OpenAI API, Claude, Bedrock or Vertex AI • Lead the architecture ...

powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability … governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help ...

automation templates Help establish internal AI standards and best practices Tech Environment AI & Agents Advanced reasoning models (e.g. Claude) Code generation models (e.g. Codex) Prompt engineering & evaluation frameworks RAG architectures Embeddings & vector search (desirable) Orchestration & Automation Agent orchestration frameworks (e.g. Antigravity) Power Automate API-first integrations Event-driven … architectures Engineering Python REST APIs SQL Git-based version control Secure secrets handling What We’re Looking For 5–8+ years in automation engineering, AI systems, or solutions architecture Experience deploying LLM-powered workflows in production Proven ability to automate complex business processes end-to-end Experience integrating ...

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 ...

provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from ...

systems Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques Works independently, resolving complex issues with little or no supervision or direction Has experience of managing a junior team to achieve ...

design, build and enhance scalable software solutions that deliver enterprise-grade technology capabilities. Working closely with product, architecture and business stakeholders, you will guide engineering standards, influence strategy, and ensure secure, high-quality delivery. Key responsibilities include: Leading the design and delivery of robust, scalable software using modern engineering … performance optimisation Mentoring and developing engineers, fostering a high-performance culture Managing risk, governance and controls within a regulated environment Contributing to broader engineering strategy and innovation communities What Theyre Looking For: Strong Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services ...

Generative AI solutions within a large, complex enterprise environment. This role sits at the centre of the AI-driven technology function, shaping engineering strategy, building scalable AI applications and integrating LLM-powered capabilities into systems used by thousands of colleagues every day. This position is perfect for an engineer … Responsibilities Lead the design and delivery of AI, ML and Generative AI applications across major digital transformation initiatives. Translate business and technical objectives into engineering roadmaps and implementation strategies. Develop scalable AI systems using Python, LLMs and cloud-native services Evaluate and optimise Large Language Models, prompts and model ...

grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive … digital analytics Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams ...

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 ...

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 ...