VP AI Architecture Apply now

VP AI Architecture

London Full-Time 72000 - 108000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Lead the design and implementation of cutting-edge AI solutions for sports data analysis.
  • Company: Join Stats Perform, the leader in sports tech, transforming data into magic with AI.
  • Benefits: Enjoy flexible working, Mental Health Days Off, and a culture of care and collaboration.
  • Why this job: Be at the forefront of AI innovation in sports, impacting fans and organizations worldwide.
  • Qualifications: 5+ years in AI architecture, with expertise in Generative AI, ML, and DL technologies.
  • Other info: Embrace diversity and inclusivity while contributing to a unique team culture.

The predicted salary is between 72000 - 108000 £ per year.

Company description: Stats Perform is the market leader in sports tech. We provide the richest and most trusted sports data available and are at the forefront of the latest advancements in AI and machine learning to turn this data into something magic. We entwine our extensive back-catalogue of data in with innovative products and machine-learning to deliver insights, predictions, and super-fast data for a variety of sporting organisations worldwide, plus the biggest names in media and broadcast. We partner with top-flight teams, leagues, coaches, betting companies, broadcasters, media outlets, gaming specialists and professional bodies to improve the overall experience for sports fans. We constantly collect the most detailed sports data to enhance a wide range of sports competitions, from tennis to soccer to basketball and more. Stats Perform is the knowledge bank behind it all. But data and technology is only half of the package. We need great people to fuel the engine. And thats where you come in Job description: Stats Perform is looking for a VP AI Architecture to join the team based in Europe. The successful VP AI Architecture will play a key role in designing and implementing advanced AI solutions, including Generative AI, Machine Learning, and Deep Learning , tailored to the sports data industry. In this role, the AI Architect will be responsible for architecting scalable AI systems that effectively process and analyze vast amounts of sports data, with a focus on real-time processing, analytics, predictive modeling, and generative AI applications. The ideal candidate will have a deep technical background in AI technologies and practical experience applying AI to solve real-world problems in the sports industry Required profile: Responsibilities: AI System Architecture: Design and implement scalable, end-to-end AI architectures for sports data analysis, leveraging Generative AI, ML, and DL technologies. Architect systems for real-time data processing and predictive analytics, ensuring performance and scalability for handling large volumes of sports data. Collaborate with DevOps to ensure AI solutions can be effectively integrated into production environments. Collaboration and Leadership: Work closely with data scientists, developers, and managers to align AI initiatives with business objectives and deliver impactful AI-driven solutions. Provide architectural guidance to the AI and software development teams, ensuring that AI technologies are efficiently deployed and maintained within the existing infrastructure. Innovation and Thought Leadership Stay up-to-date with the latest advancements in AI, including breakthroughs in GenAI, ML, and DL, and explore their potential applications within the sports data industry. Identify and advocate for new AI-driven opportunities to improve the companys product offerings in areas like sports analytics, fan engagement, and player development. Required Qualifications: 5+ years of experience in AI/ML/DL architecture and development, with possibly experience in the sports data industry or similar domains. Proven experience with Generative AI (e.g., GPT, DALL-E), ML frameworks (e.g., TensorFlow, PyTorch), and DL techniques (e.g., CNNs, RNNs, transformers). Strong background in data analytics, including real-time data processing, video analysis, and predictive modeling. Proficiency in Python, and familiarity with AI tools and frameworks. Experience architecting cloud-native AI solutions using platforms like K8s, AWS, GCP. Solid understanding of data pipelines, ETL processes, and data integration methods. Excellent problem-solving skills and the ability to think strategically about AI architecture in sports contexts. Desired Qualifications: Familiarity with real-time streaming data and AI-based video processing in sports analytics. Ability to articulate complex AI concepts to non-technical stakeholders. What we offer: Why work at Stats Perform? Well, why not? Were a unique organization with a unique culture of care, competition and collaboration. Our One Team ethos means that we take care of each other, through initiatives such as Mental Health Days Off and No Meeting Fridays and of course, flexible working. We pull together to build a better environment for all from volunteering activities to fundraisers to participating in Employee Resource Groups. We will embrace all you have to offer at Stats Perform your ideas, your passion, your life experiences and in return well give you a great place to work. Diversity, Equity and Inclusion at Stats Perform By joining Stats Perform, you’ll be part of a team that celebrates diversity. You will be contributing to an organization that is committed to ensuring a sense of belonging and inclusivity is felt by all. Were collectively responsible for creating and maintaining an inclusive environment, and thats why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation, more creativity and ensures were best placed to serve our clients and our communities, so we will continue to seek diversity and equity in all we do. TPBN1_UKTJ

VP AI Architecture employer: Stats Perform

At Stats Perform, we pride ourselves on being a leading employer in the sports tech industry, offering a vibrant work culture that emphasizes care, collaboration, and competition. Our commitment to employee well-being is reflected in initiatives like Mental Health Days Off and flexible working arrangements, ensuring a supportive environment for all team members. With a strong focus on diversity, equity, and inclusion, we empower our employees to bring their unique perspectives and experiences to the table, fostering innovation and creativity as we revolutionize the sports data landscape together.
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Contact Detail:

Stats Perform Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land VP AI Architecture

✨Tip Number 1

Familiarize yourself with the latest advancements in AI technologies, especially Generative AI, Machine Learning, and Deep Learning. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.

✨Tip Number 2

Network with professionals in the sports tech industry. Attend relevant conferences, webinars, or meetups where you can connect with people who work at Stats Perform or similar companies. Building these relationships can provide valuable insights and potentially lead to referrals.

✨Tip Number 3

Showcase your experience with real-time data processing and predictive analytics in your discussions. Be prepared to share specific examples of how you've architected scalable AI systems in previous roles, as this will demonstrate your capability to handle the responsibilities of the VP AI Architecture position.

✨Tip Number 4

Stay updated on the latest trends in sports analytics and how AI is being applied in this field. Being knowledgeable about current challenges and innovations will help you articulate your vision for AI solutions that can enhance sports data analysis at Stats Perform.

We think you need these skills to ace VP AI Architecture

AI System Architecture
Generative AI
Machine Learning (ML)
Deep Learning (DL)
Real-time Data Processing
Predictive Analytics
Data Analytics
Python Programming
TensorFlow
PyTorch
Cloud-native AI Solutions
Kubernetes (K8s)
AWS
GCP
Data Pipelines
ETL Processes
Video Analysis
Strategic Problem-Solving
Collaboration and Leadership
Communication Skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the VP AI Architecture position. Tailor your application to highlight your relevant experience in AI technologies, particularly in the sports data industry.

Highlight Relevant Experience: In your CV and cover letter, emphasize your 5+ years of experience in AI/ML/DL architecture and development. Provide specific examples of how you've applied Generative AI, Machine Learning, and Deep Learning in real-world scenarios, especially within sports analytics.

Showcase Technical Skills: Make sure to detail your proficiency in Python and familiarity with AI frameworks like TensorFlow and PyTorch. Mention any experience you have with cloud-native AI solutions and data integration methods, as these are crucial for the role.

Express Your Passion for Sports Tech: Convey your enthusiasm for the sports tech industry in your application. Discuss how your background aligns with Stats Perform's mission to enhance sports data analysis and fan engagement through innovative AI solutions.

How to prepare for a job interview at Stats Perform

✨Showcase Your Technical Expertise

Be prepared to discuss your deep technical background in AI technologies. Highlight specific projects where you've implemented Generative AI, Machine Learning, or Deep Learning solutions, especially in the context of sports data.

✨Demonstrate Real-World Applications

Illustrate how you've applied AI to solve real-world problems, particularly in the sports industry. Use examples that showcase your ability to architect scalable AI systems for real-time data processing and predictive analytics.

✨Emphasize Collaboration Skills

Since this role involves working closely with data scientists, developers, and managers, be ready to discuss your experience in collaborative environments. Share examples of how you've aligned AI initiatives with business objectives and led teams towards impactful solutions.

✨Stay Updated on AI Trends

Show your passion for innovation by discussing the latest advancements in AI, including breakthroughs in Generative AI, Machine Learning, and Deep Learning. Be prepared to suggest potential applications within the sports data industry that could enhance product offerings.

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