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AI Engineer GenAI | RAG | AI Agents | Python | SQL Locations: Manchester, Leeds, Edinburgh (preferred) | Birmingham & Bristol considered - hybrid working - 2 days per week in either of the above locations Contract…
Senior AI Engineer Start Date: ASAP Contract | £475 per Day Location: London We’re partnering with an innovative, technology-led organisation to appoint an experienced Senior AI Engineer. This is an exciting…
As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide®, “on your side”…
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our…
A Senior AI Engineer leads enterprise AI projects (Generative AI, Computer Vision, Predictive AI, Big Data) as Technical Lead or PM for a global technology solutions provider, working on-site in Tokyo. Core work spans LLMs, RAG, fine-tuning, cloud AI platforms and NVIDIA AI tooling, plus mentoring engineers and client-facing solution design.
An AI Engineer at a UK healthcare technology provider builds cutting-edge AI solutions that improve clinical workflows, operational efficiency, and patient outcomes, as the company invests heavily in expanding its AI capabilities.
Belva is seeking a Senior Gen AI Engineer to build production-grade AI applications at their early-stage startup. The role focuses on integrating cutting-edge generative AI capabilities to help automate repetitive tasks.
Senior AI Engineer at NTT DATA's AI & Analytics team in Spain, designing and deploying ML and GenAI solutions (RAG architectures, autonomous agents, evaluation pipelines), building MLOps CI/CD pipelines and AI platforms, and integrating models into production on Azure, AWS, or GCP using Python and AI libraries.
Senior Software Engineer -Productivity GenAI Como Senior Software Engineer en Mercado Libre, diseñarás y escalarás sistemas innovadores y seguros que resuelven problemas reales y de alto impacto. Trabajarás en un…
Lead (Director-level) software engineer at Morgan Stanley's Technology division designing and delivering scalable solutions in Python (with some Java) on an Agile squad, while leveraging Generative AI — coding assistants, LLM apps, agentic workflows, RAG and vector storage — plus PostgreSQL/MongoDB and DevOps practices.
A Principal AI Engineer joining the AI leadership team of a global law firm in London (hybrid, 3 days in 10 onsite), shaping AI strategy to transform legal service delivery within a technology function of several hundred specialists. Reports to the AI Platform Owner; salary up to £110,000 plus benefits.
Designs, builds, and deploys production-grade AI systems and ML pipelines, focusing on scalable implementations and collaboration with cross-functional teams.
Principal AI Engineer designs and builds enterprise-grade AI systems on AWS, leading architecture, LLM integrations, and production deployment for clients across multiple industries.
Lead the design and delivery of AI/ML systems, owning architecture decisions and driving solutions from research through production at scale using Python, AWS, and generative AI tools.
Lead the design and delivery of AI/ML systems, owning architecture decisions and driving solutions from research through production at scale.
Hands-on technical lead who designs, builds, and scales production-grade AI systems: defining architecture, leading ML/LLMOps implementation (RAG, agentic orchestration, inference pipelines, AWS), and mentoring engineers. Requires 5+ years in AI/ML engineering with strong Python and distributed systems experience.
Backend engineer building AI-driven APIs and automating data workflows with FastAPI and n8n, ensuring data quality for LLM pipelines, managing PostgreSQL with vector data, and designing scalable microservices. Onsite in Lahore with 12PM-9PM hours; 4-5 years of relevant experience required.
Leads WHO Europe's AI/ML initiatives: setting technical direction, building and deploying cloud-native AI applications (especially on Azure), overseeing the full model lifecycle from data to production, and mentoring a team of AI/software engineers. Core stack includes Python/Java/JavaScript, Azure AI Search, Docker/Kubernetes and CI/CD.
Meta is building the infrastructure and systems that power machine learning at scale across its family of products, including Feed, Reels, Ads ranking, and generative AI services. The Systems ML Engineering team sits…
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