You will work with backend development, databases, APIs, cloud services and production machine learning systems. This is for a growing technology business. No specific project or team size is mentioned.

You will work with Python, Django, Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, Elasticsearch, and Kubernetes, using AI tools like Claude Code and Cursor. You’ll shape the technical direction of a cloud-based property management platform handling payments, quoting, invoicing, booking, search, data pipelines, notifications, and fraud prevention. This is a leadership role bridging product vision and technical execution, guiding engineers toward delivery.

Build scalable backend services and APIs with Go, Python, or C++, and develop frontend applications using React and TypeScript. You will ship AI-powered product features end-to-end on a platform combining computer vision, multimodal AI, and real-time data. Work closely with AI and platform engineers on new capabilities within a small, experienced team.

You'll work with Adobe Creative Suite (Photoshop, Illustrator, InDesign, After Effects, Premiere Pro), Figma, and AI tools like ComfyUI and Midjourney. You'll lead end-to-end creative production for marketing, event, and digital assets at Ultralytics, turning complex vision AI into clear visuals for the company that creates the leading YOLO AI models.

Lead Graphic Designer at Ultralytics (AI/computer vision) will use Adobe Creative Suite (Photoshop, Illustrator, InDesign, After Effects, Premiere Pro), Figma, and AI tools like ComfyUI and Midjourney. They own end-to-end creative production for campaigns, social, web graphics, event branding, and motion content, supporting adoption of Ultralytics YOLO AI models.

You will work with JavaScript, TypeScript, and offensive security tools for penetration testing, reverse engineering, and vulnerability assessments. You join a specialist security team at a global leader in Computer Vision, AI, and biometric identity, acting as the bridge between Security and Engineering to embed security throughout web application development.

You will work with Python, TypeScript, GCP (Cloud Run, Cloud Tasks), multimodal AI, and SVG/vector graphics to build SpecForm OS, an AI platform that transforms garment references into technical drawings, 3D renders, BOMs, and production documents for fashion designers and brands. This is a founding engineer role with high ownership across architecture and full-stack development.

You will own an existing production React/TypeScript application across web, iOS, and Android, integrating with Python/FastAPI backends and managing CI/CD pipelines. The team builds a computer-vision platform that turns video data into actionable insights. You will drive frontend architecture on a small, collaborative engineering team.

DNEG★3.1 (36)· London

Design, build, and maintain high-performance RESTful APIs, microservices, and event-driven architectures using Python, PostgreSQL, and Redis. You will integrate generative AI models (ATMAN, VAANI) into production backends for a company operating at the intersection of enterprise Media Asset Management and generative media.

Work with Python, Pandas, NumPy, Polars, Flask/FastAPI, and optionally Databricks and AWS. You will build scalable tools for the Risk Division in an energy commodities trading environment, supporting traders and risk analysts by centralising data and improving reporting.

You will write production C++ and Python for physical robots deployed in real-world environments. You will own core subsystems end-to-end, developing algorithms for SLAM, navigation, computer vision, and high-performance computing at a pre-seed/seed stage 15-person robotics startup.

You will work with Go, Python, C/C++, LLM APIs, frontend frameworks (Vue/React), and edge-device firmware. The team builds an AI-driven physical security intelligence platform that processes audio and video to detect risks and generate structured insights. You will own AI output quality and eval tooling.

Revolut★3.4 (183)· London

You will work on Python, PyTorch, TensorFlow, Keras, OpenCV, Jupyter, Docker, and GCP, with SQL and CI/CD. The team builds and deploys computer vision models to automate compliance processes like ID verification and facial recognition for account onboarding.

Work with LLMs and vision models, fine-tuning, prompt engineering, and TypeScript. Develop and refine core models powering automated AML and KYC workflows for a YC S24-backed startup automating financial crime compliance.

You’ll build multimodal 3D models fusing dental scans with clinical text using Open3D, trimesh, PyTorch3D, PyTorch Geometric, YOLO, Mask R-CNN, CNNs, transformers, and point/graph networks. The role owns end-to-end research on converting oral scans into staged treatment plans for 01Health’s multi-specialty healthcare platform.

You'll use Python, LLMs, generative AI, prompt engineering, agentic workflows, and computer vision as the founding AI engineer. The early-stage company builds agentic workflows and AI-powered video tools for large-scale media environments.

You will architect a cloud-native backend on GCP using Python, C++, Docker, and Cloud Run, with emphasis on data-intensive or realtime systems. The deep-tech startup scales a research-led product into a production platform, collaborating with robotics/computer vision engineers to build APIs for edge devices.

Medtronic★3.8 (5.6k)· London

You will work with Python, AWS, databases, APIs, and modern DevOps tools to build distributed systems for a new Medtronic Digital Technologies product that brings connectivity, real-time guidance, and decision support to operating rooms using embedded systems and computer vision. You will own delivery, contribute to technical design, and provide mentorship to a team.

You will work with Docker, Docker Compose, PostgreSQL, PostGIS, Atlas migrations, Node.js, Prisma, React, TypeScript, Konva, and Tailwind CSS. You will own the architecture and technical strategy for a platform that addresses real-world problems like heat loss modelling, 2D/3D floor-plan tooling using LiDAR, and large-scale geospatial analysis.

Accenture★3.9 (29k)· London

You will work with Python, LangChain, LangGraph, AutoGen, FastAPI, REST APIs, vector databases, Git, CI/CD, and cloud platforms (Azure, GCP, or AWS) to build, deploy, and iterate on machine learning and generative AI solutions for clients across industries.

Amazon★3.5 (56k)· London

As an Applied Science Intern, you will work with machine learning, deep learning, generative AI, large language models, speech technology, robotics, computer vision, optimization, operations research, quantum computing, and formal methods, using Java, C++, or Python. You will design and develop end-to-end systems, working with Amazon scientists to create algorithms and models that are deployed into production.

Amazon★3.5 (56k)· London

You will work with Java, C++, Python, neural deep learning, machine learning, TensorFlow, PyTorch, Spark, and formal methods (model checking, interactive theorem proving, property-based testing). The Agentic Automated Reasoning Group builds next-generation software verification tools combining AI and cloud computing to analyze code—from Infrastructure as Code to assembly—for provable security, availability, and correctness across AWS services.

Amazon★3.5 (56k)· London

Develops personalised recommendations using Java, C++, Python, neural deep learning, and tools like TensorFlow, Spark, and MLLib. The Prime Video Insights team builds observability features that reduce customer-impact time, consuming petabytes of data daily for internal builders.

You'll work with computer vision, connected IoT devices, and 3D camera technology to build MAGIC's AI-powered in-home fitness coaching platform that delivers personalized training sessions using world-renowned athletes. The product combines hardware (connected weights, 3D cameras) with software to analyze user movement and guide workouts. You'll join a small, early-stage team working across the full stack.

You'll develop C# and .NET Core backend services and middleware for Maven's risk technology platform, using Docker/Kubernetes and CI/CD pipelines to optimize position management, reporting, and trading systems. The small team collaborates with traders and infrastructure engineers to build resilient, testable solutions supporting the proprietary trading firm's derivatives strategies across global markets.