research-engineer

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

Autodesk is changing how the world is designed and made. 

Our technology spans architecture, engineering, construction, product design, manufacturing, and media and entertainment. We empower innovators everywhere to solve challenges, big and small. From greener buildings to smarter products and more mesmerizing blockbusters, Autodesk software helps our customers design and make a better world for all.

Over 100 million people use Autodesk software, like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more, to unlock their creativity and solve important design, business, and environmental challenges. Our software runs on both personal computers and mobile devices. It taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate, and fabricate their ideas in 3D.

We provide exceptional compensation and benefit packages, and we’d love for you to join us. We’re proud to be an equal opportunity employer, and we consider all qualiﬁed applicants without regard to race, gender, disability, veteran status, or other protected category. To see our culture in action, check out #AutodeskLife.

We are headquartered in the San Francisco Bay Area and have over 10,000 employees worldwide.

Autodesk

• Design, build, and improve multi-stage computer vision pipelines that may include segmentation, detection, tracking, and VLM-based analysis, producing structured outputs (entities, attributes, actions/events, confidence, provenance)
• Build systems that handle real-world variability in visual inputs (for example: low resolution, poor lighting, motion blur, cluttered scenes, inconsistent capture devices)
• Work with diverse media types such as photos, video, timelapse, 360 video, and RGB-D when available
• Fuse visual evidence with contextual inputs such as metadata, documents, and sensor streams to improve recognition quality and reduce ambiguity
• Evaluate and integrate state-of-the-art vision and vision-language foundation models, including open-vocabulary recognition, grounded perception, segmentation, and multimodal reasoning
• Apply fine-tuning or adaptation approaches when needed; partner with ML teams on training, data strategy, and infrastructure best practices
• Define measurable acceptance criteria and benchmarking for accuracy, robustness, latency/cost, and reliability across datasets and domains
• Build scalable cloud workflows for batch processing and integrate outputs with APIs and downstream consumers
• Improve operational performance and cost via batching, caching, model selection, and pipeline observability
• Write maintainable code, contribute to design docs, code reviews, shared libraries, and cross-team technical decisions

Senior Research Engineer, Computer Vision

Senior Software Engineer developing robust systems for perception and understanding in Computer Vision and Multimodal AI. Collaborating with teams to enhance product areas and build reliable workflows.

iProov is a company that provides science-based biometric technologies for remote onboarding and authentication. They focus on ensuring high levels of identity assurance through solutions for biometric capture, matching, and liveness detection. iProov's technologies are designed for various industries, including financial services, government, healthcare, and travel, to address challenges in identity verification and security. The company is known for its efforts in cybersecurity, using advanced biometrics to protect against identity fraud such as deepfakes, while also ensuring inclusivity and privacy for users. iProov's solutions are widely recognized and certified, making them a trusted partner for organizations requiring secure and convenient user authentication and onboarding.

iProov is the world leader in biometric face verification. We enable banks, government agencies and other organizations to verify that an online individual is who they claim to be. This helps prevent identity theft and other cybercrime, while also making online services easier to access.
 
Organizations using our unique, patented technology include the US Department of Homeland Security, the UK Home Office, the NHS, Eurostar, the Australian government, the Singapore government, ING, and many more.

In 2022 we were named as the 57th fastest growing company in Europe, in the FT 1000. We have also been recognized as a Gartner Cool Vendor.

If you’d like to make the online world a safer place, come and join us.

We aim to foster a culture where individuals of diverse backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose.

Find out about our available roles in Science, Technology, HR, Ops, Product and Marketing: www.iproov.com/about-us/careers

iProov

• Research and prototype new biometric systems - by testing and integrating existing technologies or by designing a new solution
• Improve upon existing biometric functionality, looking for opportunities to improve the accuracy, interpretability and speed of biometric systems
• Work with the Platform developers to produce production code
• Provide Guidance and collaborate on Cross functional projects
• Understand the impact of changes, ensuring the best outcomes for our customers and end-users

Computer Vision Research Engineer – Biometric Platform

Computer Vision Research Engineer at iProov developing biometric systems and improving existing technologies for security solutions. Collaborating with cross-functional teams to enhance accuracy and performance.

• You’ll be part of a collaborative, low-ego team pushing the boundaries of liveness verification and biometric security to protect millions of users worldwide.
• In this role, you’ll spend most of your time exploring and innovating, developing new biometric tests from palm and fingerprint matching to advanced presentation-attack detection to stay one step ahead of attackers.
• You’ll design acquisition systems and then stress-test them by trying to spoof and break your own work, ensuring our defences are ready before real-world threats appear.
• You’ll tackle complex challenges in biometric acquisition, improve data quality, and create samples that closely mimic contact-based systems.
• Most importantly, you’ll anticipate and defend against threats that haven’t even been imagined yet, keeping our technology secure long after it goes live.
• As a Research Engineer, you will use state-of-the-art Deep Learning technology to develop creative solutions for exciting, industry-defining problems.
• Take ownership of research areas in computer vision, machine learning, and biometrics.
• Work collaboratively with the research team to find the best solutions.
• Communicate research outcomes and findings across the company.
• Contribute to the broader research strategy of the team.
• Challenge the existing solutions and improve the status quo.
• Contribute to a strong team ethic, encouraging psychological safety and inclusivity.

Research Engineer – Research

Research Engineer at iProov developing innovative biometric solutions for secure access using cutting-edge Deep Learning technology. Collaborating on research projects to enhance liveness verification and biometric security.

Ellison Institute of Technology Oxford is dedicated to discovering, developing, and deploying science and technology to address some of humanity's most pressing challenges. Through high-impact programs focused on areas such as Health and Medical Science, Food Security and Sustainable Agriculture, Climate Change and Clean Energy, and Government Innovation, it aims to create innovative solutions and policy frameworks for global impact. The Institute also emphasizes interdisciplinary research and collaborates with experts to translate scientific advancements into practical applications for society.

EIT Oxford’s mission is to discover, develop and deploy science and technology in pursuit of solving some of humanity’s most  challenging and enduring problems. Guided by world leaders, scientists and entrepreneurs, EIT seeks to accelerate innovation in health and medical science, food security and sustainable agriculture, climate change and clean energy, and government innovation in an era of artificial intelligence.

Set for completion in 2027, the new EIT Oxford campus will incorporate more than 30,000m2 of research laboratory space, an oncology and preventative care clinic, and educational and gathering spaces to support ongoing work in EIT’s humane endeavours. The facility’s location on the Oxford Science Park will further EIT’s current partnerships in the Oxford biotech and technology communities, expand collaborations with the University of Oxford, and support the new Ellison Scholars programme. 

Contact us: oxford@eit.org or oxfordpress@eit.org

Ellison Institute of Technology Oxford

Job summary: **We are looking for Research Engineers who will work with large scale   datasets from different modalities, including biomolecular data, such as proteins and DNA, 2D and 3D images or graph-structured data. You will design and implement advanced ML architectures and workflows encompassing multimodal generative models and physics-based modelling. 

Responsibilities 

- Design and implement advanced ML architectures 

- Develop robust model evaluation pipelines. 

- Optimize model architectures for performance and reliability. 

- Drive best practices in code quality, reproducibility, and collaboration. 

- Build and maintain large-scale ML systems that process biomolecule datasets. 

- Work with domain specialists to incorporate wet lab data and HPC simulations. 

- Help to build and maintain large-scale generative models of molecular data.

Research Engineer

Research Engineers at Ellison Institute of Technology focusing on large scale datasets and ML architectures. Collaborating with scientists to develop advanced machine learning workflows and models.

GKN Aerospace is a leading global tier one supplier of airframe and engine structures, landing gear, electrical interconnection systems, transparencies, and aftermarket services. With over 32 manufacturing locations in 12 countries, GKN Aerospace serves more than 90% of the world’s aircraft and engine manufacturers, specializing in the development and delivery of advanced aerostructures and engine systems for both commercial and defense markets. The company has a strong commitment to sustainability and innovation, continually seeking to be the most trusted partner in the aerospace industry with a rich heritage and cutting-edge technology.

 GKN Aerospace is the world’s leading multi-technology tier 1 aerospace supplier, with a mission to be the most trusted and sustainable partner in the sky. As a global company serving the world’s leading aircraft manufacturers, GKN Aerospace designs, manufactures and delivers an extensive range of advanced aerospace systems, components and technologies – for use in commercial and defense aircraft ranging from helicopters, business jets, passenger planes and advanced air mobility vehicles to the most advanced fighter aircraft. In line with its mission, GKN Aerospace is committed to achieving net-zero emissions by 2050. Lightweight composites, additive manufacturing, electrical wiring interconnection systems and innovative engine systems help to reduce emissions and weight on today’s aircraft, while it collaborates with global partners to accelerate the development of zero-emission aircraft technologies, including hydrogen-powered propulsion and all-electric flight. GKN Aerospace is market leading in aerostructures and engine systems, with 16,000 employees across its 36 manufacturing locations in 12 countries. 
 


GKN Aerospace

• Support the cryogenic power distribution team in developing and delivering cryogenic systems within GKN aerospace Hydrogen Systems
• Generate models and engineering drawings of cryogenic systems ready for manufacture
• Supervise the procurement, manufacture, and assembly of cryogenic components and systems for aircraft and ground-based facilities
• Lead technical projects and activities, supporting development of others including capability growth, mentoring early-career engineers, and promoting enhanced engineering processes and functional excellence

Research Engineer – Cryogenics

Cryogenic Research Engineer supporting GKN Aerospace's Hydrogen Systems team. Developing cryogenic technologies for sustainable power and propulsion with a focus on innovation and system performance.

Hybrid Research Engineers roles in United Kingdom

Browse 5 hybrid research engineers roles hiring in United Kingdom.

5 jobs found

Senior Research Engineer, Computer Vision

Autodesk

Computer Vision Research Engineer – Biometric Platform

iProov

Research Engineer – Research

iProov

Research Engineer

Ellison Institute of Technology Oxford

Research Engineer – Cryogenics

GKN Aerospace