Machine Learning Engineer

InterDigital, Inc.
London
11 hours ago
Create job alert

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations:

UK_London2posted on:

Posted Todayjob requisition id:

REQ25-1060About InterDigitalInterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (“AI”), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today’s most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq. InterDigital is a registered trademark of InterDigital, Inc.For more information, visit:The TeamThe Research & Innovation (R&I) team at InterDigital includes more than 250 researchers and engineers with world-class expertise in AI, wireless communications, and visual technologies. Our culture values technology expertise and an entrepreneurial mindset. Within R&I, the London Video Team is leading efforts in machine learning and deep learning to build the next generation of AI driven video compression models. We are seeking a machine learning engineer who will work to research, design, implement and optimize these models for efficient deployment. You are a machine learning engineer with deep expertise in model optimization and compilation and strong software engineering skills. You have built and optimized deep learning models in PyTorch, including compile and export workflows, and you are comfortable working with research code, consolidating and improving it for scalable training and deployment.Key Qualifications* Excellent understanding and experience in deep learning model development, optimization and deployment (PyTorch, Torch compile, export workflows such as Torch Export and ONNX, performance profiling)* Strong software engineering skills and experience building robust ML codebases* Expert in Python, with additional experience in C++ or another systems language a plus* Experience with GPU based training and inference, and familiarity with performance optimization for accelerators* Experience building production grade ML systems or research prototypes that have been used by others* Publications, patents, or significant open-source contributions in relevant areas are a plus* 3+ years of relevant experience in machine learning, deep learning, or closely related fields* Bachelor or Master (PhD a plus) in Machine Learning, Computer Science, or a related fieldResponsibilities* Work with InterDigital researchers and engineers in the London Video Team and across R&I to understand requirements and provide ML-based technical solutions for video compression and video coding* Research, prototype and evaluate novel neural architectures for AI-based video compression and next generation video coding models* Produce high quality research outputs and patentable innovations in AI-based video compression and video coding, working closely with internal IP teams to capture and protect novel ideas* Own model optimization and compilation workflows, including PyTorch compile, export and integration into downstream systems* Design, implement and maintain training, evaluation and benchmarking pipelines for video compression models, including metrics and datasets* Work on proof-of-concept projects with various teams and incorporate successful approaches into larger platforms and demonstrators* Stay current with advances in machine learning, deep learning and video coding research and help bring relevant ideas into InterDigital projects* Represent the company, promote and defend proposals from the company, throughLocation****: London, UKInterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local

law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.

#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Machine Learning Engineer

Machine Learning Engineer SaaS

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.