AI Infrastructure Lead

AI Infrastructure Lead

Full-Time 80000 - 100000 £ / year (est.) No home office possible
Apex Group Ltd

At a Glance

  • Tasks: Lead the development of AI infrastructure and machine learning operations for a global financial services provider.
  • Company: Join Apex Group, a leading fund administration and middle office solutions provider with a global presence.
  • Benefits: Competitive salary, relocation support, training opportunities, and a dynamic work environment.
  • Other info: Embrace a culture of inclusivity and ethical technology adoption.
  • Why this job: Make a real impact in AI innovation while working with a diverse, agile team.
  • Qualifications: Proven leadership in AI/ML platforms and strong MLOps expertise required.

The predicted salary is between 80000 - 100000 £ per year.

The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.

We are seeking an ambitious and visionary Head of AI Infrastructure & Machine Learning Ops to join our leadership team and play a critical role in scaling the infrastructure, tooling, and deployment capabilities for AI and ML systems across the Apex Group. Reporting directly to the Chief AI and Data Science Officer, this is a senior strategic appointment with global scope. The successful candidate will be responsible for building secure, scalable, and compliant platforms to accelerate AI innovation and ensure operational excellence in a highly regulated financial services environment.

Key Responsibilities
  • Establish a scalable AI runtime environment to support rapid prototyping and early deployment of LLM agents and agentic workflows.
  • Design and implement a robust MLOps stack with model versioning, CI/CD pipelines, and automated monitoring for operational resilience.
  • Build secure, compliant AI development and deployment architectures while aligning with AI governance framework.
  • Collaborate cross-functionally to ensure infrastructure meets the evolving needs.
Required Skills and Qualifications
  • Proven leadership in designing scalable, cloud-native or hybrid AI/ML platforms that support experimentation and secure enterprise deployment.
  • Deep expertise in MLOps strategy and execution, including end-to-end pipelines, CI/CD, model versioning, and retraining workflows.
  • Hands-on experience with model deployment and runtime management across varied environments (batch, real-time, REST, edge), using tools like MLflow, SageMaker, Databricks, or other equivalent.
  • Strong background in monitoring, observability, and incident response — including drift detection, fairness tracking, latency alerts, and recovery protocols.
  • Skilled in building secure, compliant AI infrastructure aligned with regulatory standards (e.g., GDPR, EU AI Act).
Preferred Personal Attributes
  • Strategic thinker with strong operational and technical execution capabilities.
  • Passionate about responsible AI, platform resilience, and infrastructure innovation.
  • Comfortable working in high-ambiguity, fast-paced startup-like environments.
  • Collaborative leader with strong interpersonal and communication skills.
  • High integrity, accountability, and a commitment to ethical technology adoption.

Apex will cover relocation costs from UK to UAE for anyone open to relocating.

What you will expose
  • Be part of a dynamic and fast-paced team that makes a genuine impact on the success of the entire organisation.
  • Opportunity to work with a diverse, agile, and global team.
  • Exposure to all aspects of the business, cross-jurisdiction.
  • A genuinely unique opportunity to be part of an expanding large global business.
  • Competitive remuneration in line with skills and experience.
  • Training and development opportunities.

We pride ourselves in our commitment to fostering a connected and inclusive culture, all our opportunities at Apex have four (4) days in office requirement.

We are an equal opportunity employer and ensure that no applicant is subject to less favourable treatment on the grounds of gender, gender identity, marital status, race, colour, nationality, ethnicity, age, sexual orientation, socio-economic, responsibilities for dependants, physical or mental disability. Any hiring decision are made on the basis of skills, qualifications and experiences.

We measure our success as a business, not only by delivering great products and services and continually increasing our assets under administration and market share, but also by how we positively impact people, society, and the planet.

AI Infrastructure Lead employer: Apex Group Ltd

At Apex Group, we pride ourselves on being an exceptional employer that champions innovation and collaboration. Our dynamic work culture fosters inclusivity and empowers employees to take the lead in their careers, with ample opportunities for professional growth and development. Located in the vibrant UAE, we offer competitive remuneration, relocation support, and a chance to be part of a global team making a meaningful impact in the financial services sector.
Apex Group Ltd

Contact Detail:

Apex Group Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Infrastructure Lead

✨Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Apex Group. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! If you’ve got a portfolio or any projects that highlight your expertise in AI infrastructure or MLOps, make sure to share them during interviews. It’s a great way to demonstrate your capabilities beyond just your CV.

✨Tip Number 3

Prepare for the interview by researching Apex Group thoroughly. Understand their values, recent projects, and how they approach AI and ML. This will help you tailor your answers and show that you’re genuinely interested in being part of their team.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Apex Group family.

We think you need these skills to ace AI Infrastructure Lead

Leadership in AI/ML platform design
Cloud-native and hybrid AI/ML platforms
MLOps strategy and execution
End-to-end pipelines
CI/CD
Model versioning
Automated monitoring
Model deployment and runtime management
Monitoring and observability
Incident response
Regulatory compliance (GDPR, EU AI Act)
Interpersonal and communication skills
Strategic thinking
Operational execution capabilities
Passion for responsible AI

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for AI and ML shine through! We want to see how your energy aligns with our mission at Apex Group. Share your vision and how you can contribute to our growth.

Tailor Your CV: Make sure your CV is tailored to the role of Head of AI Infrastructure & Machine Learning Ops. Highlight your relevant experience in building scalable AI platforms and MLOps strategies. We love seeing how your skills match our needs!

Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your achievements and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!

How to prepare for a job interview at Apex Group Ltd

✨Know Your AI Infrastructure Inside Out

Before the interview, make sure you’re well-versed in the latest trends and technologies in AI infrastructure. Brush up on your knowledge of MLOps strategies, CI/CD pipelines, and model deployment tools like MLflow or SageMaker. This will not only show your expertise but also demonstrate your passion for the field.

✨Showcase Your Leadership Skills

As a Head of AI Infrastructure, you'll need to exhibit strong leadership capabilities. Prepare examples from your past experiences where you successfully led teams or projects. Highlight how you foster collaboration and innovation, especially in high-ambiguity environments, as this aligns with what the Apex Group values.

✨Align with Their Vision

Familiarise yourself with Apex Group’s mission and values. Be ready to discuss how your vision for AI infrastructure aligns with their goals of scaling AI innovation and ensuring operational excellence. This shows that you’re not just looking for a job, but are genuinely interested in contributing to their success.

✨Prepare Thoughtful Questions

Interviews are a two-way street, so come prepared with insightful questions about the company’s AI strategy, team dynamics, and future projects. This not only demonstrates your interest but also gives you a chance to assess if the company is the right fit for you.

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