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- Tasks: Lead a top-tier AI team to innovate generative AI solutions.
- Company: Join a pioneering company transforming the AI landscape with sustainable tech.
- Benefits: Enjoy a culture of innovation, collaboration, and ownership with competitive perks.
- Why this job: Shape the future of AI while working with cutting-edge technology and talented teams.
- Qualifications: 10+ years in AI, leadership experience, and expertise in Python and PyTorch required.
- Other info: Opportunity to represent the company in the AI community through research and conferences.
The predicted salary is between 72000 - 108000 £ per year.
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We are challenging the status quo by building a vertically integrated generative AI (GenAI) cloud platform. Owning the data centres, software, and applications that power today\’s AI stack, we focus on sustainable technology solutions. Our culture thrives on relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. Collaboration is key, and we value openness, transparency, adaptability, and resilience in everything we do.
About the Role
As the Head of AI Solutions, you will lead the core AI team, driving the AI capabilities of our generative AI cloud platform. This is a hands-on leadership role, where you will work closely with the Chief Product Officer (CPO), as well as design, product, and engineering teams. You will define the technical roadmap, recruit and mentor top AI talent, and push the boundaries of generative AI research. Your role will be pivotal in shaping the future of generative AI products and creating solutions that empower developers and organisations globally.
Responsibilities
- Build, lead, and mentor a team of world-class AI engineers and researchers to deliver cutting-edge generative AI solutions.
- Define the technical vision and roadmap for the platform’s generative AI capabilities, including training, fine-tuning, and inference.
- Design and implement high-performance model serving engines and custom training clusters to optimise scalability, latency, and resource efficiency.
- Collaborate with the CPO and cross-functional teams to establish AI research goals aligned with business objectives and user needs.
- Drive the development of robust, fault-tolerant systems for data ingestion, processing, and model customisation.
- Ensure the integration of advanced distributed training frameworks and GPU optimisation techniques across the platform.
- Incorporate best practices to stay ahead of industry trends and advancements in generative AI, high-performance computing (HPC), and distributed systems.
- Represent the company in the AI community through research, technical content, conference talks, and open-source contributions.
Requirements
- Over 10 years of experience in machine learning and AI infrastructure, including at least 5 years in a leadership role.
- Proven ability to build and lead high-performing AI engineering teams.
- Deep expertise in Python and PyTorch, with extensive experience in transformer architectures and generative AI models.
- Strong background in distributed training frameworks (e.g., DeepSpeed, FSDP) and GPU optimisation (CUDA, TensorRT, or ROCm).
- Experience in designing and scaling large-scale AI systems, including training clusters and inference engines.
- Familiarity with containerised environments and managing AI workloads in production.
- Strong understanding of HPC concepts and experience with supercomputing or high-load distributed systems.
- Excellent problem-solving skills and ability to address complex performance and scalability challenges.
- Outstanding communication and collaboration skills, with a proven track record of aligning technical teams with business goals.
Preferred Qualifications
- PhD or MSc in Machine Learning, Computer Science, or related fields.
- Experience contributing to or leading open-source projects or research in AI or HPC.
- Product-oriented mindset, with a focus on simplifying the developer experience.
- Hands-on experience with advanced inference optimisation techniques, such as KVCache, MoE, adaptive batching, or gradient checkpointing.
- Knowledge of API development and integration using OpenAPI specifications.
- Proven ability to author technical blogs, papers, or speak at industry conferences.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
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Head of Precision AI / Solutions employer: Aspire Technology
Contact Detail:
Aspire Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Precision AI / Solutions
✨Tip Number 1
Make sure to showcase your leadership experience in AI and machine learning. Highlight specific projects where you built and mentored high-performing teams, as this role requires strong team-building skills.
✨Tip Number 2
Familiarize yourself with the latest advancements in generative AI and distributed systems. Being able to discuss current trends and how they can be applied to our platform will demonstrate your passion and expertise.
✨Tip Number 3
Prepare to discuss your experience with Python, PyTorch, and transformer architectures in detail. We value deep technical knowledge, so be ready to share insights on your past work and how it relates to our needs.
✨Tip Number 4
Engage with the AI community by sharing your knowledge through blogs or talks. This not only showcases your expertise but also aligns with our culture of openness and collaboration.
We think you need these skills to ace Head of Precision AI / Solutions
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your relevant experience in AI, leadership, and technical skills that align with the role.
Tailor Your CV: Customize your CV to emphasize your experience in machine learning, AI infrastructure, and leadership roles. Include specific projects or achievements that demonstrate your ability to build and lead high-performing teams.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for generative AI and your vision for the role. Discuss how your background aligns with the company's focus on innovation and collaboration, and mention any relevant contributions to the AI community.
Showcase Technical Expertise: In your application, highlight your deep expertise in Python, PyTorch, and distributed training frameworks. Provide examples of how you've successfully implemented high-performance AI systems and your familiarity with GPU optimization techniques.
How to prepare for a job interview at Aspire Technology
✨Showcase Your Leadership Experience
Since this role requires over 10 years of experience in machine learning and AI infrastructure, be prepared to discuss your leadership journey. Highlight specific instances where you built and mentored high-performing teams, and how you drove innovation within those teams.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of Python, PyTorch, and transformer architectures. Be ready to discuss your experience with distributed training frameworks and GPU optimization techniques, as these are crucial for the role.
✨Align with Business Objectives
Collaboration is key in this position. Prepare examples of how you've previously aligned technical goals with business objectives. Discuss how you can contribute to establishing AI research goals that meet user needs and drive business success.
✨Engage with the AI Community
This role involves representing the company in the AI community. Be ready to talk about any contributions you've made to open-source projects, research, or industry conferences. Sharing your passion for AI and your involvement in the community can set you apart.
