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- Tasks: Lead a team to deliver innovative machine learning solutions for sports enthusiasts.
- Company: Join a dynamic social network focused on enhancing sports experiences through technology.
- Benefits: Enjoy flexible work options, generous vacation, and continuous learning opportunities.
- Why this job: Make a real impact in sports while fostering a collaborative and innovative culture.
- Qualifications: Experience managing technical teams and expertise in AI/ML systems required.
- Other info: Remote work flexibility available; ideal for tech-savvy sports lovers.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking an Engineering Manager to join our Applied Machine Learning team, focused on delivering innovative experiences and insights for coaches, athletes, and fans. This role leads high-impact initiatives using advanced computer vision and deep learning technologies at scale—powering sports experiences from elite organizations to local communities.
Key Responsibilities
- Deliver Results: Independently manage a multidisciplinary team of 5 to 10 Engineers and Data Scientists. Drive progress toward quarterly and annual goals, while ensuring high-impact outcomes for users and the business.
- Foster Collaboration: Work cross-functionally with other teams and organizational leaders to deliver projects in iterative increments, manage dependencies, and uphold product quality.
- Set Technical Standards: Lead by example in architectural decisions, code quality, and system health. Guide the team in building reliable, scalable, and cost-effective solutions that support long-term goals.
- Build High-Performing Teams: Create and nurture an environment where your team is empowered, motivated, and set up for success. Optimize technical processes and team structures for consistent delivery.
- Talent Development: Provide mentorship and career guidance to Applied Scientists and Engineers, supporting growth across both technical and leadership paths.
Location and Flexibility
This role is open to candidates who live within commuting distance of a London office. There are no current requirements for in-office presence, thanks to a flexible work policy.
Required Qualifications
- Leadership Experience: Proven success in managing a team of 5–10 technical contributors and supporting their development and productivity.
- Systems Expertise: Hands-on experience in building, maintaining, and monitoring complex AI/ML systems operating in production at scale.
- Technical Proficiency: Strong experience in several of the following domains:
- Classical and deep learning-based computer vision
- GPU-accelerated computing
- Edge inference
- Real-time systems
- Signal processing
Preferred Qualifications
- Sports Technology Experience: Familiarity with applying AI/ML techniques to the sports domain, especially to generate insights or performance data.
What We Offer
- Flexible Work-Life Balance: Benefits designed to support both your personal and professional life, including generous vacation policies, company holidays, meeting-free days, and remote work options.
- Autonomy and Ownership: A culture that encourages individual ownership, open communication, and innovation.
- Continuous Learning: Access to career development resources, professional growth opportunities, and internal mentorship.
- Optimized Work Environment: Supportive, well-equipped workspaces—whether remote or in-office—designed to help you do your best work.
- Comprehensive Wellbeing Support: Medical and retirement benefits based on location, along with mental health resources, employee assistance programs, and affinity groups.
Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London,[...] (Slough) employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London,[...] (Slough)
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and computer vision. Follow industry leaders on platforms like LinkedIn or Twitter, and engage with their content to stay updated. This knowledge will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the sports technology sector. Attend relevant meetups, webinars, or conferences where you can connect with others in the industry. Building these relationships can lead to valuable insights and potential referrals for the role.
✨Tip Number 3
Prepare to discuss your leadership style and experiences managing technical teams. Think of specific examples where you've successfully guided a team through challenges or fostered collaboration. This will be crucial in showcasing your fit for the managerial aspect of the role.
✨Tip Number 4
Research the company’s recent projects and initiatives in AI/ML, especially those related to sports. Being able to reference these during your discussions will show your genuine interest in the company and how you can contribute to their goals.
We think you need these skills to ace Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London,[...] (Slough)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, computer vision, and deep learning. Emphasise any leadership roles you've held and specific projects that demonstrate your technical proficiency in Python and C++.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sports technology and your understanding of how AI/ML can enhance athletic performance. Mention your leadership style and how you foster collaboration within teams.
Showcase Technical Skills: In your application, clearly outline your hands-on experience with AI/ML systems, particularly in production environments. Include examples of how you've implemented GPU-accelerated computing or real-time systems in past projects.
Highlight Communication Abilities: Demonstrate your ability to communicate complex technical concepts to diverse audiences. Provide examples of how you've successfully collaborated with non-technical stakeholders to deliver impactful ML/AI-driven features.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Leadership Skills
As a Machine Learning Engineering Manager, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've managed teams in the past, focusing on how you foster collaboration and drive results.
✨Highlight Technical Expertise
Be ready to discuss your hands-on experience with AI/ML systems, particularly in computer vision and deep learning. Prepare to explain complex technical concepts clearly, as you'll need to communicate with both technical and non-technical stakeholders.
✨Demonstrate Product Focus
Share specific instances where you've delivered impactful ML/AI-driven features. Discuss how you collaborated with product and engineering teams to achieve these outcomes, showcasing your understanding of the product lifecycle.
✨Prepare for Cultural Fit
Research the company's culture and values, especially their focus on autonomy and continuous learning. Be prepared to discuss how you align with these values and how you can contribute to a supportive and innovative work environment.
