1,101 to 1,125 of 2,308 LLM Jobs in London

production-quality tooling that accelerates offensive security workflows, integrated directly into the watchTowr Platform and our autonomous pipelines Design, experiment with, and iterate on LLM-powered systems, agents, and automations for vulnerability discovery, exploit reproduction, and analysis Develop and refine the orchestration layers that turn AI capability into reliable, repeatable ...

meeting you booked from a cold call. AI‐automated outbound. You built automated outbound workflows with AI tools (Clay, Apollo, n8n, or LLM prompts). Show us: a workflow you built, the tools behind it, and what it produced. Pipeline generation. You generated B2B/enterprise pipeline. Show us: your ...

trust-based relationships at the senior level. Growth Ownership: Drive a 20% YoY growth target by identifying commercial opportunities in Paid Media, Social Organic, LLM, and Influencer strategy. Matrix Orchestration: Lead the "Trio" (Account, Program, Strategy), serving as the final decision-maker to ensure delivery matches client expectations. Strategic Sparring ...

supply, demand, and market conditions Predictive demand and routing models that forecast driver availability and optimise job allocation before a customer even books LLM-powered tooling across our internal and customer-facing products, from intelligent quoting to driver workflow automation A two-sided marketplace where drivers can buy and sell ...

driven, limited inventory, or hype‐category eCommerce environments Exposure to Amazon Sponsored Products or Seller Central Interest in experimentation, emerging technologies, and AI/LLM-enabled workflows Equal Opportunity Statement POP MART is committed to equal pay initiatives and will not ask candidates for their current or past salary. ...

etc.) and with security review processes (SOC 2, ISO 27001, HIPAA, FedRAMP). Experience running on or supporting Bedrock/Vertex/multi-cloud LLM deployments. Experience with regulated customers (financial services, healthcare, public sector) and delivering alongside SI/GSI partners. A track record of public technical communication: YouTube ...

your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into … reliable production systems, you'll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction ...

operationalize Comply's semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This is a hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery … financial and regulatory data invector spaceBuild and operate vector database infrastructure for semantic search and similarity retrievalImplement RAG (Retrieval-Augmented Generation) architectures that ground LLM outputs in Comply'sproprietary dataEvaluate and integrate LLM tooling and frameworks appropriate to Comply's use casesData Pipeline & Platform EngineeringBuild reliable, observable data pipelines that ...

driving further adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also … setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About ...

language and technology and who are keen to use their technical abilities to develop automated, scalable solutions to challenges in the Large Language Model (LLM) space. Applying a combination of expertise in LLMs, coding, and natural language, they will overcome complex problems in model evaluation, automation, and context engineering … should also have exceptional writing and communication skills with the ability to interface between both technical and non-technical teams. Key job responsibilities- Develop LLM-as-a-judge systems to support Human-in-the-loop evaluations- Automate operations and perform data analysis using scripting languages (e.g. Python)- Author, optimize ...

purely strategic or management position. The opportunityYou'll play a central role in building and scaling enterprise AI capabilities, moving beyond conventional RAG and LLM applications towards increasingly sophisticated, high-complexity AI systems. Working across multiple engineering teams, you'll help establish reusable AI engineering capabilities, accelerate delivery and drive … adoption of modern AI development practices within a highly regulated environment. Key responsibilities: Providing Staff-level technical leadership across Generative AI, LLM and Agentic AI initiatives. Designing and developing production-grade RAG, LLM and multi-agent solutions . Shaping reusable AI frameworks, tooling and engineering standards across multiple teams. Remaining ...

multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We're using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind … maintain business-critical AI agent services. Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production. Integrate tests and validation to improve AI agents through evals and monitoring. Work with software engineers and architects to lead ...

drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies … needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt ...

Amazon Web Services, Business Development, CI/CD, CloudFormation, DAMA, Data Architecture, Decision Intelligence, DevOps, Generative AI, Google Cloud Platform, Hybrid Cloud, Large Language Model Applications, Machine Learning, Microsoft Azure, TOGAF, Terraform, Thought Leadership, Transformation RoadmapsData & AI Strategy Consultant/Architect – AI Transformation (GenAI & Agentic AI)Are you ready … adoption of GenAI, copilots, and agentic AIArchitect intelligent cloud and hybrid ecosystems, supporting the modernisation of legacy data environmentsDesign and implement agentic AI workflows, LLM-based applications, and decision intelligence platformsDrive automation through DevOps practices, CI/CD pipelines, and Infrastructure-as-Code (Terraform, CloudFormation)Develop enterprise data ...

have built on model APIs (e.g. Azure OpenAI, Anthropic, open-weight models) and evaluation tooling, and know when the framework, or the LLM, is unnecessary. Hands-on engineering skills in Python and SQL, taking work from notebook to production to a high standard (testing, CI/CD, containers, infrastructure … Rigour in running AI in production: experiment tracking and model registry (MLflow), evaluation frameworks and regression testing before release, monitoring and data-drift management, LLM observability and model governance. A track record of owning technical decisions across model selection, data and retrieval strategy, evaluation and production deployment, and of contributing ...

scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system … software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Essential - Proven track record delivering production LLM‐based systems, including RAG pipelines, agentic/tool‐use frameworks, and multi‐step reasoning workflows. Essential - Strong proficiency in Python for AI service development; working ...

vendor availability. Event-driven consistency. Services coordinating over Pub/Sub — sagas across offer → contract → tenancy → payment with no distributed transaction to lean on. LLM tool calling, deterministic API calls, and other intra‐and inter‐service communications all running across the same coordination system. AI harnesses in production. Deploying agentic … into real-world operational settings — acting on real money, tenancies and legal exposure, with the guardrails, observability and correctness that demands. Non-deterministic LLM working within compliant, secure deterministic software. Our stack We build on NestJS + TypeScript on GCP/GKE , with MongoDB , Redis and GCP Pub/ ...

Kubernetes/EKS, ECS, Docker, RDS/PostgreSQL and S3. Productionise AI Workloads: Work closely with our AI engineers to deploy and operate NLP, LLM and quantitative‐model workloads, including workloads using our in‐house GPU infrastructure. Own Software Through to Production: Take responsibility for testing, deployment, performance, monitoring … comfortable taking responsibility in a small, fast‐moving engineering team. Experience with Apache Airflow, Kubernetes, real‐time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial‐market systems would be useful, but is not essential. Why Permutable? Real Ownership: Take responsibility for important production systems and influence ...

sector transformation programmes. We are looking for an experienced Python Developer who has moved beyond experimenting with Generative AI and has genuine experience engineering LLM-powered solutions for production environments. Working within multidisciplinary consulting teams, you will help organisations explore how AI can improve complex operational processes, information discovery … consultants and frontend engineers. What you'll be doing: Engineer Python backend services and APIs using FastAPI and asynchronous development patterns Design and integrate LLM capabilities using OpenAI, Azure OpenAI or comparable foundation models Build practical RAG, enterprise search and document intelligence solutions using embeddings and vector databases Develop prompt ...

AI/ML Engineer (Contract) London2 Days in OfficeOutside IR35£400 - £500 Per Day6 months long The Company They are a well-established media business with a strong digital presence and a growing focus on ...

generation AI-powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure. What you'll do Technical Leadership & Architecture: Define …/SLO design, observability platforms (metrics/logs/traces), incident management, and automated RCA. Preferred Qualifications AI & Agentic Systems: Hands-on experience building LLM pipelines, AI Agents, Model Context Protocol (MCP) servers/clients, RAG architectures, and evaluation frameworks. Observability & Telemetry: Experience with OpenTelemetry (OTel), Prometheus, Grafana, Splunk, ThousandEyes ...

generation AI-powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure. What You'll Do Technical Design & Architecture: Design … observability platforms (metrics/logs/traces), incident management, and automated root cause analysis (RCA). Preferred Qualifications AI & Agentic Systems: E xperience building LLM pipelines, AI Agents, Model Context Protocol (MCP) servers/clients, RAG architectures, and evaluation frameworks. Observability & Telemetry: Experience with OpenTelemetry (OTel), Prometheus, Grafana, Splunk, ThousandEyes ...

Strategy and Execution for the BCG's Core AI/Intelligence LayerOwn and evolve the Gen (AI) platform vision and agentic systems, including LLM orchestration, contextual memory, and semantic knowledge layers. Shape the roadmap for the Platform AI/Agent Development Kit (ADK) — the core toolset powering developer and team … components and services owned by the platform teams. Establish and run enterprise‐grade AI observability frameworks to monitor performance, safety, and interpretability. Continuously enhance LLM Ops, Evaluation and Quality pipelines. Ensure robust AIOps/DevSecOps, CI/CD, Infrastructure‐as‐Code, and automated delivery pipelines. What You'll BringLeadership & DeliveryOver ...

Panakeia is the world's first in silico multi-omics company, building AI solutions that power precision medicine in clinical settings, at scale. Our platform also accelerates drug discovery and development for the medicines of ...

At MONY Group, we've spent the last 30 years making it easier for people to save on their household bills, growing beyond comparison to support multiple areas of daily spending. As technology evolves, then ...