101 to 125 of 197 Human-in-the-Loop Jobs in London

tailor them to the audience. Apply responsible design standards to every output: validate for bias and explainability, define where human-in-the-loop oversight is required, and specify escalation triggers and handoff points clearly in any process design that incorporates AI or agentic components. ...

assess different architectural approaches. Confidence taking ownership of projects and guiding other engineers technically. Experience with knowledge graphs, ontologies, recommendation systems, human-in-the-loop learning or LLM fine-tuning would be particularly interesting. You don't necessarily need to have held an Architect or Technical ...

scaled enterprise automation; our future isApplied AI andAgenticAutomation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clientsoperate. We are not here to sell AI theatre. We are here to turn AI intoworking ...

Next.js application using App Router and Server Components AI builders: Built production LLM agents, including sandbox and filesystem agent patterns and human-in-the-loop flows Ran technical discovery and presented to executives at enterprise customers, with occasional travel to customer sites Bonus ...

knowledge search experiences using one or more enterprise AI platforms Set direction for prompt and context engineering, tool-use patterns, and human-in-the-loop controls Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality ...

planning better — predictive forecasting, anomaly detection, automated variance analysis, AI-generated commentary and agentic planning workflows among them — and the human-in-the-loop controls that keep finance in charge of what the models produce. You know how to move a client from ...

hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood ...

just explored Rigour about validity: you routinely report precision and recall, confidence intervals and baselines, and you've run experiments or human-in-the-loop review to verify automated conclusions Experience delivering ML as part of a product team on a customer-visible surface, ideally having ...

LLMs in your daily workflow for synthesis, analysis, survey and discussion guide design, and scaling qualitative depth, and design human-in-the-loop checks that catch confident but wrong outputs. You’ll help the team identify where AI accelerates research and where it should ...

workflows with controlled analysis at every stage. Every output comes with citations and a full audit trail, so the human in the loop can see exactly how it got there. The Context Graph makes all your data (across workflows, documents and integrations) queryable in ...

the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human‐in‐the‐loop data collections. You will play a critical role in driving innovation and advancing the state‐of‐the ...

team of around 40 people building technology that sits at the heart of how stories get told. We've been "human in the loop" AI since before it was a buzzword. We take security seriously because our customers have to, and we ship small changes ...

in product and engineering, building technology that sits at the heart of how stories get told. We've been "human in the loop" AI since before it was a buzzword. We take security seriously because our customers have to, and we ship small changes ...

workflows). You’re not doing manual extraction—you’re designing systems that extract reliably at scale. Prompt chains, validation steps, human‐in‐the‐loop checkpoints. When something breaks, you debug it. When something’s slow, you fix it. Data Engineering. Build and maintain pipelines (ingestion ...

scale: distributed processing, large-scale storage‐querying, and performance-cost tradeoffs. Know how to evaluate fuzzy problems: offline/online metrics, human‐in‐the‐loop labelling, inter‐annotator agreement, drift monitoring, and reproducibility. Have prior work with safety/moderation datasets, policy/rule systems ...

simple to say and hard to get right: the agent orchestrates, deterministic code does the work, and a human in the loop approves the file before it goes to print. You’ll work with the people who run each process to understand ...

avoid single-provider lock-in Embed AI governance, observability, and guardrail design as first-class architectural concerns — audit logging, human-in-the-loop escalation, adversarial testing, and compliance controls — not retrofitted after deployment Commerce Platform Leadership Lead large-scale agentic commerce implementations across Salesforce Commerce … agent orchestration, reasoning workflows Experience with vector retrieval architectures and embedding pipelines in production (semantic search, RAG) Experience designing AI governance frameworks: auditability, HITL, red teaming, compliance controls AgentOps/LLMOps: observability, tracing, and model evaluation in production Commerce stack integration: OMS, PIM, DAM, CRM, payments, and fulfilment ...

avoid single-provider lock-in Embed AI governance, observability, and guardrail design as first-class architectural concerns — audit logging, human-in-the-loop escalation, adversarial testing, and compliance controls — not retrofitted after deployment Commerce Platform Leadership Lead large-scale agentic commerce implementations across Salesforce Commerce … agent orchestration, reasoning workflows Experience with vector retrieval architectures and embedding pipelines in production (semantic search, RAG) Experience designing AI governance frameworks: auditability, HITL, red teaming, compliance controls AgentOps/LLMOps: observability, tracing, and model evaluation in production Commerce stack integration: OMS, PIM, DAM, CRM, payments, and fulfilment ...

iteratively improve their own responses before delivery Implement Constitutional AI-style or critic-model approaches to drive automated quality improvement without human-in-the-loop on every iteration Design memory and state mechanisms that allow systems to accumulate and apply learnings across sessions and tasks Build ...

decision-making Build in identity, data protection, resilience, observability, and cost from day one Design evaluation, fallback, escalation, and human-in-the-loop mechanisms Produce architecture decisions, patterns, and reusable reference designs Review implementations and guide engineering teams through major technical decisions What ...

Controls: Demonstrable expertise configuring and implementing Google Cloud VPC Service Controls. Key requirement. AI Security & Guardrails: Experience implementing AI security controls, human-in-the-loop approval processes, prompt protection and PII masking. Identity & Access Management: Strong knowledge of IAM, identity federation, Workload Identity Federation ...

complex enterprise environments. AI Guardrails & Perimeter Defence Hands-on experience designing deterministic AI safety controls and secure AI architectures. Knowledge of human-in-the-loop approval mechanisms, VPC Service Controls, Workload Identity Federation (WIF), and Microsoft Entra ID. Experience establishing privacy, data protection, and Personally Identifiable ...

other regulated enterprise environments Familiarity with emerging human-AI collaboration patterns, such as generative AI interfaces, ML-driven decisioning, or human-in-the-loop workflows #J-18808-Ljbffr ...

core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship. Real ...

visualising and explaining technical datasets. Build reliable systems for versioning, collaboration, approvals and auditability. Integrate AI models and agents into practical, human-in-the-loop product workflows. Create benchmarks and evaluation tools for testing AI systems on real customer tasks. Improve system performance, reliability, security ...