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Senior AI Engineer — Data-Driven Solutions Architect
Lewis Personnel Management is hiring a Senior AI Engineer in BGC, Taguig (hybrid) to build AI-driven data solutions for clients: developing AI-integrated applications, implementing ML models, and maintaining data pipelines. Core stack is Python, Angular/React, and REST APIs.
Data Engineer AWS - Recrutement international (Montréal) F/H (CDI)
agileDSS, a data, cloud and AI consulting firm with offices in Montreal, Quebec City and Nantes, is hiring an AWS Data Engineer for its Montreal office via international recruitment. The role builds AWS data pipelines and Data Lake/Lakehouse architectures (Glue, S3, Lambda, Athena, Redshift/Snowflake, Python, SQL, Airflow) on client mandates.
Lead Data Engineer - HealthTech / IA H/F (CDI)
Lead Data Engineer (permanent, on-site Midi-Pyrénées) at a growing HealthTech scale-up that analyzes physiological data and builds AI tools used by healthcare professionals. You take ownership of the data platform: datalake, automated ETL pipelines (Python, Airflow), a Delta lakehouse, GDPR compliance, and cloud industrialization with Terraform and CI/CD.
Senior Product Manager - Sovereign AI
Dream builds ATLAS, an on-premise, air-gap-capable AI platform that lets governments and critical-infrastructure operators ingest, connect, and act on sensitive data. The Senior Product Manager in Tel Aviv owns a shared platform capability (e.g., data ingestion, retrieval, or AI-agent workflows), running customer discovery, setting roadmap decisions, and supporting demos and commercial conversatio
Remote Fullstack Engineer — Build the AI Decision Workspace
Fullstack engineer at Jeda.ai building an AI-powered decision intelligence workspace: developing AI backend workflows, user-facing interfaces, and real-time collaboration features, with rapid prototyping in a fast-growing, remote-by-default team.
Fullstack Engineer at Jeda.ai — Build the AI Workspace End to End
Fullstack engineer (senior or junior) at Jeda.ai building an AI decision-intelligence workspace end to end: AI-powered backend workflows, frontend interfaces, and real-time collaboration/visualization on a living canvas. Stack includes JavaScript, Node.js, Python and cloud (AWS/Azure/GCP); remote-first, rapid prototyping culture.
Senior Full-Stack Engineer - AI-Powered Products (React/Node)
Senior full-stack engineer on an AI-focused London team building greenfield AI-powered products: shaping frontend and backend architecture, doing design, prototyping, and production work with React, Node.js, and Azure cloud, while using AI-assisted tools to speed up delivery. Hybrid working applies.
Scalable AI Data Engineer
QuantumBlack, AI by McKinsey is hiring a data infrastructure engineer in London to design and maintain scalable data pipelines and secure data environments, building reproducible data components for agentic AI and autonomous systems while ensuring data quality and engineering features alongside cross-functional teams and clients.
Data engineer in AI systems
Designs and maintains scalable data pipelines, secure data environments, and reproducible data components (embeddings, vector search) powering generative and agentic AI solutions for clients at McKinsey's QuantumBlack, working in Agile teams with Python, SQL, Spark, dbt, LangChain, and platforms like Databricks, Snowflake, and AWS/Azure/GCP.
DevOps Engineer – AI Infra, Kubernetes & CI/CD
Qureight is hiring a DevOps/Platform-Reliability Engineer in London to keep its cloud imaging platform running across multiple environments using Kubernetes, infrastructure as code, GitOps, and CI/CD on AWS and Linux, while supporting AI teams' training and model deployment environments.
Full Stack Engineer
Senior full-stack engineer at a fast-growing AI software company building AI-powered products that automate operational and compliance processes for regulated industries. Day to day: build features across a TypeScript/React + NestJS stack, design APIs and integrations, and own deployments on AWS with PostgreSQL, Terraform and Docker.
DevOps Engineer
DevOps engineer keeps a cloud medical-imaging platform running across environments using Kubernetes, infrastructure as code (Terraform/OpenTofu), GitOps and GitLab CI/CD on AWS, while also supporting the science team's ML training and model deployment, with a strong emphasis on security, patching, cost control and auditable change management.
DevOps Engineer
One of the first two engineering hires at a new venture of a UK household-name business, building products from scratch on AWS in a Python-first, agentic stack. The DevOps Engineer owns AWS infrastructure, CI/CD pipelines, monitoring and security tooling, and supports data/ML/LLM workloads as the team grows to 20-30 people.
Software Engineer
Full-stack engineer at Lyrebird Health building its AI scribe for GPs: taking features from idea to production across a SvelteKit front end, Python FastAPI services and Postgres on AWS, with daily hands-on LLM work on prompts, structured output, streaming, and generation latency/cost in a live clinical product.
Python Developer
Python backend engineer at a cloud-native FinTech in London, building real-time platforms and custom in-house AI tools for investment managers: designing scalable APIs and microservices, optimising PostgreSQL data layers, and deploying distributed systems with Docker and Kubernetes. No finance background needed.
Sr. DevOps Engineer
Build and maintain secure, automated cloud platforms and CI/CD pipelines for a company that uses AI and telematics to improve school bus safety.
Remote iOS Engineer - AI-First, End-to-End Ownership
iOS Engineer at Trust in SODA building a production-grade iOS app for AI-powered conversations and workflows, fully remote within the UK. Day to day: owning the client experience end to end, optimizing performance, implementing streaming and retries, and designing trust-building UX alongside backend and ML engineers.
IOS Engineer
Own the iOS client experience end to end for an AI-native startup's agent-first mobile communication app: build streaming AI interactions, fallbacks and performance-tuned features in Swift/SwiftUI, working closely with backend and ML engineers.
Frontend Developer
Front-end engineer in London (3 days/week onsite) joining a small team at a fast-growing AI platform for financial services, building data-rich dashboards, document workflows and agentic AI applications for investment professionals using React and TypeScript.
Member of Technical Staff - Application Development (iOS Developer)
iOS Developer at Model ML, an AI workflow platform for financial institutions, translating its web products into native iPhone and iPad apps. Day to day: build with Swift/SwiftUI, shape scalable iOS architecture and a design system, and own testing, observability, and release processes.