Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Research Manager (Computer Vision/Machine Learning)

microTECH Global LTD
greater london, england, united kingdom
6 days ago
Applications closed

Related Jobs

View all jobs

Computer Vision/Machine Learning Research Manager

Machine Learning Research Engineer, 3D

Engineering Program Manager, Machine Learning

Data Science Manager – Experimentation: Innovation & Research United Kingdom, London

Manager, AI Data Engineering (UK Remote)

Manager, AI Data Engineering (UK Remote)

Direct message the job poster from microTECH Global LTD

Location - London / Hybrid (3 days onsite, 2 days remote)

What are we looking for:

MicroTECH Global is seeking unique individuals for a distinctive technology.

Are you a Research Engineering Manager passionate about technology and leading cutting-edge research that shapes the future of technology?

We are looking for a driven and experienced Technical Manager to lead our client's research group. You will oversee groundbreaking projects in areas such as video and point cloud compression, AI/ML applications, and algorithm optimization for performance and visual quality.

About the company:

MicroTECH Global collaborates with a company at the forefront of parallel data compression, with expertise in AI, data compression, and XR (extended reality). They have developed multiple award-winning software products transforming industries like TV, live events, entertainment, social networks, media, aerospace, automotive, and gaming.

Their innovation cycle is agile and flexible, with continuous testing and challenging assumptions. Their in-house testing facilities enable rapid progression from ideas to implementation.

Responsibilities:

As a Research Engineering Manager, you will:

  • Leadership: Manage daily activities of the Research Group, ensuring project delivery, team performance, and recruitment of top talent.
  • People Development: Mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing concerns.
  • Technical Leadership: Lead algorithm and software design for data compression systems, guiding your team in developing innovative solutions.
  • Documentation: Maintain technical documentation, including reports, white papers, and IP capture.
  • Process Improvement: Enhance research processes and tools to improve efficiency and quality.

Background and Experience:

  • Passion for research and advancing in a dynamic environment.
  • Pragmatism and hypothesis-driven innovation for rapid iteration and MVP delivery.
  • Experience in data compression, AI/ML technologies, and C++ development.
  • Leadership skills to manage and mentor a skilled team and drive projects to completion.
  • Excellent communication skills for technical documentation and reporting.
  • Flexibility to thrive in an innovative, cross-functional environment.
  • Deep understanding of data compression technologies, including lossy/lossless compression, quality metrics, and color spaces.
  • Knowledge of the software development lifecycle and cross-team collaboration.
  • Proficiency in Python and C++.
  • Experience with parallel processing programming.
  • Understanding of standardization processes and organizations (SDOs).

Beneficial to have:

  • Knowledge of objective Visual Quality assessment techniques.
  • Experience with TensorFlow, visual AI, and multimodal Generative AI.
  • Experience in IP development.
  • Experience presenting research at conferences and forums.
  • Contribution to SDOs.
  • Experience with Agile methodologies and tools like JIRA.
  • Proficiency in GIT.

Seniority level:

  • Mid-Senior level

Employment type:

  • Full-time

Job function:

  • Semiconductor Manufacturing

Referrals increase your chances of interviewing at microTECH Global LTD by 2x.

Set job alerts for “Research Manager” roles.

Locations and recent postings are listed, indicating active hiring and opportunities in London and surrounding areas.


#J-18808-Ljbffr

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.