Work with TensorFlow or PyTorch, Python, and related computer vision/graphics libraries on neural network architectures (convolutional, recurrent, transformer, diffusion-based). The Visual Computing Group (VCG) researches and develops generative models for game rendering and live video streaming to advance state-of-the-art runtime efficiency, visual quality, and latency.

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.

Hudson River Trading★4.5 (2)· London

You will write and maintain critical trading infrastructure using C/C++ or Python on Linux, working closely with engineers who design trading algorithms in a fast-paced, real-time environment. The role is with Hudson River Trading, a firm that brings a scientific approach to trading financial products.

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

Elsevier★3.8 (769)· London

Work with Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, .Net, and various data storage subsystems. You'll develop complex software solutions supporting educational electronic health record products that prepare students for digital charting in clinical environments.

RELX Group★3.8 (133)· London

You will work with Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, and .Net. The team supports products for education electronic health records that introduce students to digital charting and prepare them for clinical documentation.

You will design, implement and maintain high-frequency trading systems using C++ and ultra-low-latency technology. The role is with a new HFT built out of an established systematic fund, trading multiple asset classes across international markets. You join a small team working on greenfield projects with no red tape.

You will use C/C++, STL, Boost, and Linux to build low-latency algorithmic trading systems. The team develops and supports all aspects of trading strategies, including exchange price feeds, back testing, and production environments for a tech-driven quantitative hedge fund.

Design, build, and optimize large-scale HPC/AI infrastructure using GPU optimization (CUDA, NCCL, GPUDirect RDMA, NVLink). You'll work with triple-digit petabyte-scale storage and massive CPU/GPU clusters, using Python, C/C++, and Linux in globally distributed data centers. This role covers HPC cluster design, performance tuning, and automation for thousands of nodes.

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.

Manage a team of test and DevOps engineers building CI/CD, Yocto-based embedded Linux, test automation, and cloud infrastructure (Python, C/C++, AWS/GCP/Azure) for non-invasive neuromonitoring medical devices.

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.

As Multimodal Sensing and Fusion Engineer you will architect the multimodal perception front-end combining electro-optical, long-wave infrared cameras, radar, LiDAR, and inertial sensing using C/C++ or Rust and Python. Helsing builds software and AI that makes existing defence hardware more capable.

Lead a team of test and DevOps engineers owning CI/CD, Yocto-based embedded Linux, and test automation infrastructure. The role uses Python, C/C++, infrastructure-as-code (Terraform, CDK), and cloud platforms (AWS/GCP/Azure) for a non-invasive neuromonitoring medical device company.

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.

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.

Google★4.3 (6.2k)· London

Work with HTML, CSS, JavaScript, HTTP, Java, C/C++, Python, Node.js, TypeScript, RESTful APIs, OAuth2, JSON webhooks, GCP, Dialogflow, and Gemini. You will lead end-to-end conversational messaging solutions, building chatbots and integrating agentic experiences for the Android and Business Communication Partner Engineering 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.

You will work with Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go to curate code examples, evaluate AI-generated code, and build verification agents. As a Software Engineering evaluator, you create cutting-edge datasets for training and benchmarking large language models at Turing, a research accelerator for frontier AI labs and enterprise AI deployment.

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.