Lead Python Developer role using Core Python, Flask, VueJS, JavaScript, CSS, HTML, SQL, AWS, Terraform, Docker, and serverless components, with CI/CD and Agile practices. The developer builds, enhances, and supports production applications within UK public sector programmes, collaborating with delivery, product, and data teams.

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.

Edited★2.7 (3)· London

You will work with Python, *nix, LLMs, MCP, Django, Flask, FastAPI, Elasticsearch, and SQL databases. You will build an AI chatbot with agents and tooling, and scale a large-scale retail data infrastructure on AWS and bare metal for the company's AI-driven retail intelligence platform.

Python, FastAPI, PostgreSQL, GCP, Docker, Terraform. The team builds Scenario Builder, a platform for energy-system modelling, grid planning and decarbonisation analysis. You will lead a hands-on squad of 3–5 engineers, staying close to the code while setting technical direction.

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 a new category of SaaS using React on the frontend and Python with Django, Flask or FastAPI on the backend, with cloud technologies desirable. The company uses AI and machine learning to help businesses predict revenue, drive customer loyalty, and capture value from existing customers.

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'll work with Python (Flask/Django), React/NextJS, Docker, and LLMs to build agentic AI workflows. The platform automates risk engineering for commercial insurance, transforming manual workflows from days into minutes. As founding engineer (#7), you'll shape the technical foundation with ex-QuantumBlack founders.

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 work with Python, FastAPI/Flask/Django, PostgreSQL/MySQL, Databricks, Azure cloud infrastructure, and CI/CD tools to build data pipelines and APIs for Breathe's battery management platform. The Platform & AI team processes time-series battery test data, automates analysis with AI, and provides infrastructure supporting R&D, product development, and service delivery across the company's physics-based battery management software used by major automotive and electronics brands.

Work with Python frameworks (Flask), Azure cloud services, Plotly Dash, React, and generative AI. You will join the Data Hub, HM Treasury’s central data function, which implements the department’s data strategy and drives data-led transformation by developing data capability and delivering insights to improve decision making.

HM Treasury★3.9 (25)· London

You will work with Python (Flask, Plotly Dash), JavaScript (React), and Azure cloud services. You will join HM Treasury’s Data Hub, a multidisciplinary team of data engineers and scientists that develops data-driven products and analytics to support departmental objectives.

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.