Research Manager (Computer Vision/Machine Learning)
Research Manager (Computer Vision/Machine Learning)

Research Manager (Computer Vision/Machine Learning)

London Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative research projects in AI/ML and data compression technologies.
  • Company: Join a pioneering firm transforming industries with award-winning software solutions.
  • Benefits: Enjoy a hybrid work model, mentoring opportunities, and a dynamic team culture.
  • Why this job: Shape the future of technology while working on cutting-edge projects in a collaborative environment.
  • Qualifications: Experience in data compression, AI/ML, and strong leadership skills are essential.
  • Other info: Opportunity to present research at conferences and contribute to industry standards.

The predicted salary is between 43200 - 72000 Β£ per year.

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

What are we looking for:

MicroTECH Global are looking for unique people for a distinctive technology. Are you a Research Engineering Manager, who has a passion for technology, with a love to lead cutting-edge new research ideas that shapes the future of Technology? We are seeking a driven and experienced Technical Manager to lead our clients research group. You will guide groundbreaking research projects in areas such as video and point cloud compression, AI/ML Applications & algorithm optimization for both performance and visual quality.

About the company:

MicroTECH Global are working with a company who are at the forefront of parallel data compression, with deep expertise in AI, data compression & XR (extended reality). They have developed multiple award-winning software products that are transforming industries such as TV, Live event production, Entertainment, Social Networks, Media, Aerospace, Automotive & Gaming. They achieve their goals by keeping our innovation cycle as agile and flexible as possible, with continuously testing and challenging assumptions. Thanks to the unique technology within the in-house testing facilities, they quickly pass from ideas to implementations.

Responsibilities:

  • Leadership: Manage the day-to-day activities of the Research Group, ensuring timely project delivery, team performance, and recruitment of top talent.
  • People Development: Actively mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing any concerns.
  • Technical Leadership: Lead the design of algorithms and software for data compression systems, guiding your team in developing cutting-edge solutions.
  • Documentation: Create and maintain technical documentation, including project reports, white papers, and intellectual property (IP) capture.
  • Process Improvement: Continuously enhance the Research Group’s processes and tools, driving efficiency and quality across the department.

Background and Experience:

  • Passion for Research: A deep enthusiasm for advancing research in a dynamic environment.
  • Pragmatism: A passion for hypothesis-driven innovation, enabling rapid cycles of iteration and fast-tracked delivery of Minimum Viable Products.
  • Technical Expertise: Experience in designing and developing data compression solutions, AI/ML technologies, and/or C++ development.
  • Leadership Skills: Proven ability to manage and mentor a skilled team, driving projects to completion within commercial deadlines.
  • Communication Skills: Excellent written and verbal communication, including technical documentation and project reporting.
  • Flexibility: Ability to thrive in an innovative, cross-functional environment where initiative and adaptability are key.
  • Deep understanding of data compression technologies: Including lossy/lossless compression, quality metrics, and colour spaces.
  • Knowledge of the end-to-end software development lifecycle: With experience collaborating across teams.
  • Proficiency in Python and C++ software development.
  • Experience with parallel processing programming.
  • Understanding of standardization processes and standard-developing organizations (SDOs).

Beneficial to have:

  • Knowledge of objective Visual Quality (VQ) assessment techniques.
  • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI.
  • Experience in Intellectual Property development.
  • Experience presenting research findings at conferences and within video-centric forums.
  • Contribution to standard-developing organizations (SDOs).
  • Experience with Agile development methodologies and tools like JIRA.
  • Proficiency in software development tools such as GIT.
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Contact Detail:

Microtech Global Ltd Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Research Manager (Computer Vision/Machine Learning)

✨Tip Number 1

Familiarise yourself with the latest trends in computer vision and machine learning. Follow industry leaders on social media, read relevant research papers, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Network with professionals in the AI and data compression sectors. Attend conferences, webinars, or local meetups to connect with like-minded individuals. Building relationships can lead to valuable insights and potential referrals that may give you an edge in the application process.

✨Tip Number 3

Prepare to discuss your leadership experiences in detail. Think of specific examples where you've successfully managed teams or projects, particularly in a research context. Highlighting your ability to mentor and develop talent will resonate well with the hiring team.

✨Tip Number 4

Showcase your technical skills by working on personal projects or contributing to open-source initiatives related to data compression or AI/ML. Having tangible examples of your work can set you apart from other candidates and provide talking points during interviews.

We think you need these skills to ace Research Manager (Computer Vision/Machine Learning)

Leadership Skills
Technical Expertise in Data Compression
AI/ML Technologies
C++ Development
Python Programming
Parallel Processing Programming
Excellent Communication Skills
Technical Documentation
Process Improvement
Understanding of Data Compression Technologies
Knowledge of Visual Quality Assessment Techniques
Experience with TensorFlow
Agile Development Methodologies
Proficiency in Software Development Tools like GIT
Mentoring and People Development

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in research management, AI/ML technologies, and data compression. Use specific examples that demonstrate your leadership skills and technical expertise.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and research. Mention how your background aligns with the responsibilities of the Research Engineering Manager role and express your enthusiasm for leading innovative projects.

Highlight Technical Skills: In your application, emphasise your proficiency in Python and C++, as well as your experience with parallel processing and Agile methodologies. Be specific about your contributions to past projects and any relevant tools you've used.

Showcase Communication Abilities: Since excellent communication is key for this role, include examples of your experience in creating technical documentation and presenting research findings. This will demonstrate your ability to convey complex ideas clearly and effectively.

How to prepare for a job interview at Microtech Global Ltd

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with data compression solutions and AI/ML technologies. Highlight specific projects where you've designed algorithms or developed software, especially in C++ or Python.

✨Demonstrate Leadership Skills

Share examples of how you've managed teams and mentored engineers. Discuss your approach to project management and how you ensure timely delivery while maintaining team performance.

✨Communicate Clearly

Practice articulating complex technical concepts in a clear and concise manner. Be ready to explain your documentation process and how you maintain project reports and white papers.

✨Emphasise Adaptability and Innovation

Discuss your experience in fast-paced environments and how you've driven hypothesis-driven innovation. Provide examples of how you've iterated on ideas quickly to deliver Minimum Viable Products.

Research Manager (Computer Vision/Machine Learning)
Microtech Global Ltd
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