Software Engineering Manager

Hollbridge; London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

A leading company in the audio-visual technology sector is seeking an Engineering Manager to lead their technical research group. This role involves spearheading efforts in data compression and AI applications, ensuring innovative solutions are developed effectively. Candidates should possess strong technical skills in Python and C++, with a proven background in data compression technologies, and thrive in a flexible, hybrid working environment.

Qualifications

• Strong understanding of data compression including lossy and lossless techniques.
• Proficiency in Python and C++.
• Understanding of parallel processing programming.

Responsibilities

• Lead research initiatives with real-world product impact.
• Guide and mentor a team of researchers.
• Collaborate cross-functionally to bring R&D outcomes into engineering pipelines.

Skills

Data Compression

Python

C++

Algorithm Optimization

Parallel Processing Programming

Tools

TensorFlow

JIRA

Git

Job description

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Technical Search Consultant @ Hollbridge | Helping OTT and video tech companies, broadcasters, and content creators build strong teams while…

Are you a technical research leader with deep expertise in data compression? Would you like to work at the forefront of innovation, where your research directly powers products across industries like media, gaming, defense, and automotive?

I'm hiring on behalf of a pioneering deep tech client developing next generation compression and AI technologies. They are looking for an exceptional Engineering Manager to lead their technical research group.

About the Company

This company is transforming how data is processed, compressed, and delivered. With a strong foundation in AI, data compression, and extended reality (XR), they are behind several international media standards and hold a significant global IP portfolio.

Their award winning solutions are deployed across TV and media, live event production, eCommerce, security, aerospace, and more. The culture is collaborative, empowering, and focused on innovation at every level.

The Role

You will join as an Engineering Manager to lead a small, high impact research team focused on:

• Video and point cloud compression

• AI and ML applications such as Generative AI, intelligent edge, media indexing

• Algorithm optimization for performance and visual quality

You will work closely with engineering, product, and commercial teams to ensure research outcomes are translated into practical and commercial solutions.

What You Will Do

• Lead research initiatives with real world product impact

• Guide and mentor a team of researchers

• Collaborate cross functionally to bring R&D outcomes into engineering pipelines

• Stay current with emerging trends, contribute to standards organisations, and present findings both internally and externally

What We’re Looking For

Must Have Skills:

• Strong understanding of data compression including lossy and lossless techniques, color spaces, and visual quality metrics

• Proficiency in Python and C++

• Understanding of parallel processing programming

• Solid grasp of the software development lifecycle

• Familiarity with standard developing organizations (SDOs)

Nice to Have Skills:

• Experience with visual quality assessment techniques

• Knowledge of TensorFlow, Generative AI, or media indexing

• Background in contributing to patents or published research

• Experience with standards organisations and conference presentations

• Comfortable with Agile workflows, JIRA, and Git version control

Why This Role?

• Join a company working at the forefront of compression and media technology

• Lead a high performing research team

• Work on projects with direct commercial impact

• Flexible hybrid working model and a fast paced, innovation led culture

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Broadcast Media Production and Distribution and Data Infrastructure and Analytics

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