London, South East, England, United Kingdom Hybrid / WFH Options
MicroTECH Global Ltd
foundation models (e.g., LLaMA, FinBERT) for financial text and transaction data. Build retrieval-augmented generation (RAG) pipelines with Hugging Face, Lang Chain, and vector databases. Implement human-in-the-loop systems to continuously validate, improve, and govern AI outputs. Deploy and monitor ML models in production with a focus on scalability, latency, and compliance .Collaborate More ❯
+ Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions More ❯
Job Description Agent Design & Delivery : Architect and implement production-ready AI agents that integrate with enterprise platforms (SAP, Salesforce, ServiceNow, CI/CD, Databricks), with human-in-the-loop controls, observability, and auditability. Hybrid Skillset : Strong grounding in traditional machine learning and data workflows (forecasting, scoring models, risk detection, NLP etc) alongside Gen AI/ More ❯
independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for thehuman-in-the-loop products and technology used inthe risk investigations at Amazon. The team is also responsible for reducing the cost of performing theMore ❯
an AI Data Annotator, you will: Transcribe and annotate audio recordings across various dialects and languages. Perform quality assurance and validation of machine-generated transcripts, utilising human-in-the-loop and RLHF processes. Work on training data for developing and current ASR, TTS, sentiment analysis, emotional tone detection, and preference modelling tasks. Collaborate with linguists, engineers More ❯
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
london (city of london), south east england, united kingdom
Humanoid
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
end operation Comfortable operating in ambiguous, fast-changing environments shaped by rapidly evolving AI technologies, data strategies, and toolchains Bonus Points: Experience building or scaling human-in-the-loop systems or teleoperations Skilled with analytics tools and dashboard platforms (e.g. Looker, Grafana, Tableau) Background in R&D or applied ML environments with high feedback More ❯
agents - from the no-code UI to the low-code primitives that power it under the hood. You'll work on everything from human-in-the-loop flows, to tool orchestration, to reusable components like blocks and memory. This is a deeply cross-functional role that sits at the intersection of UX … up a reusable and composable agent architecture Work closely with design, engineering, and AI teams to ship high-leverage tools for agent logic, control flow, and human-in-the-loop supervision Partner with customer-facing teams to understand user pain points and translate those into scalable product improvements Own the success metrics for agent creation More ❯
