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Staff Applied AI Researcher (Agentic Search)
Staff-level applied AI researcher (hired via Jobgether for a partner company) leading research on agentic search: designing retrieval, ranking, and LLM-grounding systems so autonomous AI agents can plan, retrieve, and refine web information in real time. Core stack: Python, transformers, embeddings, RAG.
Staff Applied AI Researcher (Agentic Search)
Staff-level applied AI researcher leading next-generation agentic search: designing multi-stage retrieval, ranking, and RAG-style systems that let autonomous AI agents retrieve and refine web data in real time. Core work spans Python, deep learning/transformers, LLMs, embeddings, and large-scale production ML.
Staff Applied AI Researcher (Agentic Search)
Staff-level applied AI researcher building next-generation agentic search: retrieval and ranking systems designed for autonomous AI agents. Day to day spans query understanding/rewriting, embedding and hybrid retrieval, reranking, LLM grounding in real-time web data, and production deployment, with heavy Python and transformer/LLM work.
Staff Applied AI Researcher (Agentic Search)
Staff-level applied AI researcher shaping agent-native search: designs multi-stage retrieval and ranking architectures (query rewriting, reranking, iterative retrieval), grounds LLMs in real-time web data, and drives research into production while mentoring engineers. Core stack: Python, transformers, embeddings, RAG.
Staff Applied AI Researcher (Agentic Search)
Staff-level applied AI researcher defining retrieval, ranking, and agentic search architecture for an AI platform — designing multi-stage retrieval, training ranking models, and grounding LLMs in real-time web data at production scale. Core stack is Python with transformers, embeddings, and RAG; based in Ireland or Amsterdam, London, Zurich, or remote within Europe.
Staff Applied AI Researcher (Agentic Search)
Staff-level applied AI researcher shaping next-generation search built for autonomous AI agents: designing multi-stage retrieval, ranking, and RAG architectures grounded in real-time web data, then taking research to production at scale. Core tech: Python, LLMs, transformers, embeddings.
Staff Applied AI Researcher (Agentic Search)
Staff-level applied AI researcher role (hired via Jobgether on behalf of a partner company) building agent-native search: multi-stage retrieval, ranking, and grounding LLMs in real-time web data. You own part of the search stack, run experiments (embeddings, hybrid retrieval, reranking), and ship models to production in Python.
Graduate Silicon Architect 2027
Graduate Silicon Architect at Graphcore in Bristol: a two-year graduate programme in a permanent SoC architecture role. The graduate specifies, models and evaluates SoC subsystems for Graphcore's next-generation AI hardware, working across design, verification, hardware and software teams, with programming in Python, Rust or C++.
Platform DevOps Engineer - Core Platform
The Platform DevOps Engineer builds and operates Jeen’s cloud‑native AI platform, designing infrastructure, managing Kubernetes, Terraform, and CI/CD pipelines (GitHub Actions, GitOps, Argo CD) while ensuring reliability, observability (Prometheus) and security.
DevOps Engineer (Remote)
Hybrid DevOps engineer (Madrid + Guadalajara, 3 onsite days/week) who automates deployment, scaling and monitoring of large-scale AWS infrastructure, builds CI/CD pipelines, and optimizes the company's model inference APIs, including deploying its software stack to Fortune 500 clients' servers.
.NET Developer
Full-stack .NET developer in London building a client's 'intelligent answer engine' — a semantic search product. Day-to-day work spans backend microservices in .NET 10/ASP.NET Core (C#) on Azure SQL, Docker/Kubernetes deployment, .NET MAUI apps, and Angular/Vue.js TypeScript front-ends.
Forward Deployed Engineer III (6706)
Senior systems engineer leading AI/ML, cloud, and enterprise integration in a defense-focused environment, defining architecture and security standards.
Director of Data Science
Fetcherr is hiring a Director of Data Science to lead its Large Market Model group, owning the end-to-end ML lifecycle of its AI-powered market pricing model — data pipelines, training, serving, and monitoring — while managing MLOps, ML, and data engineering leads. Core stack: Python, PyTorch, GCP, Dask/Dagster.
Graduate Software Engineer - AI & Machine Learning
Graduate software engineer joining an AI/ML solutions firm via recruiter Placements24, fully remote but listed in Rustenburg, South Africa. Day to day: design and implement AI/ML models, build ML pipelines and APIs for AI services, and test and optimize software, mainly in Python with frameworks like TensorFlow, PyTorch, or scikit-learn.
Senior Software Engineer - AI Platform Development
Builds and scales the backend of an AI platform on-site in Stellenbosch: designing APIs and data pipelines for large-scale ML workloads, managing cloud infrastructure (AWS/Azure/GCP), and developing MLOps tooling for model training, deployment, and monitoring.
Sales Development Representative - B2B SaaS
Outbound sales role booking qualified meetings for Confido Health, whose AI agents automate healthcare front-office work like scheduling, prior authorizations, and EHR updates. Day to day: prospect specialty medical groups via phone, email, and LinkedIn, qualify inbound leads, run discovery calls, hand demos to Account Executives, and keep the CRM current.
Senior Director - Enterprise Sales - Voice AI
Senior Director of Enterprise Sales at an AI-driven voice-solutions company in Noida: personally closing large CXO-level B2B SaaS deals, leading 3-4 Enterprise Sales Managers, and owning revenue targets, forecasting, and strategic account growth for an automated enterprise voice AI product.
