615 Best pipeline engineer Jobs in London (June 2025)

PhD Research Intern, AI-Powered 2D-to-3D Video Conversion

About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.

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Bellmond Group Limited

We're hiring for a Senior Software Engineer within our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements on our models directly impact financial performance. You'll be working closely with researchers, helping maintain trading infrastructure, and helping the team scale and improve the systems at the heart of the business. You'll be working on data pipelines, build, support systems and infrastructure. A very wide ranging role requiring extensive experience across multiple technologies. The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies; you'll have a high level of autonomy to design and implement tooling and systems in a way you feel would be best suited to the problem at hand. A strong knowledge of operating systems, networks, software architecture and practical experience in deploying that knowledge is essential. We are a hybrid working company, with staff coming into the office in London every Thursday, plus any other days they like, working remotely at home the rest of the time. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. We're targeting Senior Developers for this role, ideally with several years of experience in mission-critical systems where precision, reliability, and fault tolerance are paramount. Our interview process is as follows: - A brief screening call to give you some more information about the role, answer any of your initial questions and to check your suitability for the role. - A 60 minute technical interview with our CTO and/or Team Lead, discussing your previous experience and also discussing some systems design challenges and how you'd approach them - A collaborative coding assessment day, working with one of our team on some sample problems. This isn't leetcode, it's more about systems design and your approach to tradeoffs. This will last from 10am until 4pm UK time. - An in person "meet the team" at our London office. Requirements At least one, ideally both of: - A degree in a technical subject from a top university demonstrating your ability to grasp and apply complex concepts. - Several years of senior-level experience in teams building mission-critical systems where precision and reliability are essential to success. Demonstrated professional expertise in the following areas: - Fluency in multiple programming languages, with substantial experience in Python as a priority. - Development and maintenance of Continuous Integration (CI) pipelines. - Complex deployments on AWS - Docker or comparable containerization technologies. Nice to have experience: - Experience using numpy/pandas/torch/etc - Experience with Golang Benefits Our salary range for the role is £40,000 to £80,000, depending on experience and interview performance. List of benefits: - Participation in the uncapped company bonus scheme, typically 10-20% of salary depending on experience. - 10% matched pension contributions - Private healthcare insurance - Long term illness insurance - Gym membership - Choose your own hardware & setup for your development environment.

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