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 use TensorFlow or PyTorch, Python, and CV/graphics libraries, plus 3D engines like Unreal or Unity, to develop generative models for graphics and video. As part of the Visual Computing Group, you'll design neural networks and ML for PlayStation's game rendering and live

Imperial College London★4.2 (238)· London

Work with PyTorch, GPU kernel programming, Verilog, and NVIDIA's Holoscan Sensor Bridge to integrate FPGA-based AI-ISP accelerators with edge GPU platforms. The project targets low-latency, high-throughput sensor-to-GPU streaming for the "Sense-Decide" pipeline in edge automation.

Lead engineers use Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL; Git, MacOS/Linux, and CI/CD; and AI-assistive tools. They lead multi-client software consultancy engagements, building and delivering production agentic systems and ML-powered features. The team is typically one to two clients per year.

Python and SQL for computer‑vision projects using Vision Language Models (VLMs) at a tech start‑up. You will work on a broad range of machine‑vision tasks, blending research, implementation, and support from a team of PhDs and MScs.

The role involves designing and implementing machine learning tools, web applications, and database management platforms, plus developing AI algorithms for ophthalmic image segmentation and analysis. You will work with the AI and Data Science team at Moorfields Eye Hospital’s NIHR Clinical Research Facility, which delivers ophthalmology clinical research and AI-driven diagnostic models for eye diseases.

Research, develop, and evaluate state-of-the-art deep learning models for volumetric CT data using Python and PyTorch. You will contribute to self-supervised pre-training of large 3D foundation models and specialize models for segmentation, classification, and regression to support clinical-trial and real-world evidence programmes. The role is within the Machine Learning function at Qureight, which builds an AI-powered imaging platform for lung and heart disease.

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.

Work with C, C++ or Rust, Python, computer vision models (object detection, tracking), state estimation and sensor fusion (Kalman filtering, factor graphs, SLAM). You will own integration of a new counter-UAS initiative, building a prototype from concept through trials. This role spans robotics, ML and systems engineering.

You will use Adobe Creative Suite (Photoshop, Premiere Pro) and Canva for graphics and video, and manage social platforms (LinkedIn, X, Instagram, YouTube, TikTok) with scheduling and analytics tools like Hootsuite, Buffer, or Sprout Social. You will own Ultralytics' social media strategy, creating content to showcase its YOLO AI models and vision AI advancements, and collaborate with Engineering and Marketing teams on product launches and announcements.

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.

8th Light★0.0· London

You will use Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, SQL, Git, CI/CD, and AI-assistive tools. As a lead technologist at a technology consultancy, you will lead client engagements building agentic products, platforms, and full ML lifecycle systems. You will mentor colleagues and lead architecture discussions on complex projects.

Work with Python, Pandas, NumPy, REST APIs, GCP, and MLOps tools on agentic AI, deep learning, NLP, or computer vision projects for Insight International (UK) Ltd.

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.

8th Light★0.0· London

At 8th Light, a technology consultancy, you'll build production-grade platforms and agentic systems using Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL. You'll lead platform strategy and delivery for multiple clients per year, advising on architecture, scalability, and AI/ML integration.

You will work with Python, SQL, PostgreSQL, Dagster, Git, and CI/CD tools like GitHub Actions, plus Docker, Kubernetes, and REST/GraphQL APIs. This computer-vision startup builds scalable data pipelines and infrastructure to power next-generation products across cloud, AI, and embedded systems.

Python, C++, Go, and AWS; the role involves early-stage R&D prototyping for security and media analysis, building AI/ML/computer-vision software for anomaly detection, audio transcription, and event-based alerts at a stealth-mode London startup.

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.

You will own the C++17+ systems that ingest, process, and store high-rate sensor data from metal 3D printers, serving physics-informed ML inference and 3D insights in production. The work involves Python bindings (via pybind11), WebSockets, CMake, 3D geometry/meshes, and on-premise deployment. Nexus is an early-stage startup building the data and software layers for additive manufacturing of safety-critical parts.

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.

You'll work with Python, C/C++, neural networks, edge AI accelerators, embedded Linux, and Docker on ARM. This role leads the computer vision and tracking pipeline that transforms vision data into athlete performance insights, including real-time tracking and motion recognition. You'll lead a small team of 1–2 engineers.

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.

ABBYY· London

Work with Document Parsing AI, FineReader, APIs, SDKs, cloud environments, GitHub, and Stack Overflow to grow the developer ecosystem around ABBYY's Document AI platform. Blend product marketing, developer advocacy, and community building to increase awareness among technical buyers and developers.