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- Tasks: Lead a team to innovate sports experiences using advanced machine learning and computer vision.
- Company: Join a dynamic tech company focused on sports technology and AI.
- Benefits: Enjoy flexible work-life balance, generous vacation, and continuous learning opportunities.
- Why this job: Make a real impact in sports by leveraging cutting-edge AI technologies.
- Qualifications: Proven leadership in tech teams and expertise in AI/ML systems.
- Other info: Empower your career with mentorship and a supportive work environment.
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,[...] employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London,[...]
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those connected to the job you're eyeing. A friendly message on LinkedIn can go a long way—just be genuine and express your interest in their work.
✨Tip Number 2
Prepare for that interview! Research the company and its projects, especially in machine learning and computer vision. Be ready to discuss how your experience aligns with their goals and how you can contribute to their success.
✨Tip Number 3
Show off your skills! If you have relevant projects or a portfolio, make sure to highlight them during conversations. Demonstrating your expertise in Python, C++, and deep learning can really set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team and are keen on being part of our innovative journey.
We think you need these skills to ace Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London,[...]
Some tips for your application 🫡
Show Off Your Leadership Skills: Make sure to highlight your experience managing teams. We want to see how you've led engineers and data scientists to success, so share specific examples of your leadership style and achievements.
Get Technical: Don’t shy away from showcasing your technical expertise! Mention your hands-on experience with computer vision, deep learning, and any relevant programming languages like Python and C++. We love seeing candidates who can dive into the nitty-gritty.
Tailor Your Application: Take a moment to customise your application for this role. Use keywords from the job description and relate your past experiences to the responsibilities listed. This shows us you’re genuinely interested and have done your homework!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it makes the process smoother for both you and us!
How to prepare for a job interview at Enigma
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of computer vision, deep learning, and the specific technologies mentioned in the job description, like Python and C++. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
As a Machine Learning Engineering Manager, you'll need to demonstrate your ability to lead a team. Prepare examples of how you've successfully managed teams in the past, focusing on how you foster collaboration and drive results. Highlight any mentorship experiences that showcase your commitment to talent development.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of AI/ML systems and architectural decisions. Practice explaining complex concepts clearly, as you'll need to communicate effectively with both technical and non-technical stakeholders. Consider doing mock interviews to refine your responses.
✨Align with Company Values
Research the company culture and values, especially their focus on innovation and continuous learning. Be prepared to discuss how your personal values align with theirs and how you can contribute to creating a supportive and high-performing team environment.