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.
- 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).
- 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 in London employer: Apex Group Ltd
Contact Detail:
Apex Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Lead in London
✨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’s recent projects and initiatives. Tailor your answers to show how your experience aligns with their goals. This will not only impress them but also 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 in London
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 journey and what drives you in this field.
Tailor Your CV: Make sure your CV is tailored to the role of Head of AI Infrastructure & Machine Learning Ops. Highlight your relevant experience and skills that match the job description. We love seeing how your unique background fits into our vision!
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 the role. Plus, it shows you’re serious about joining our team at Apex Group.
How to prepare for a job interview at Apex Group Ltd
✨Know Your AI Infrastructure Inside Out
Before the interview, dive deep into the specifics of AI infrastructure and MLOps. Familiarise yourself with tools like MLflow, SageMaker, and Databricks, as well as the latest trends in AI governance. This will not only help you answer technical questions 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've successfully led teams or projects, especially in high-ambiguity environments. Highlight how you foster collaboration and innovation within your team.
✨Align with Their Vision
Apex Group values energy and passion. Make sure to articulate how your personal values align with their mission of empowering individuals and driving responsible AI. Share your vision for how you can contribute to their growth and transformation journey.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in building secure and compliant AI infrastructures and how you overcame them. This will showcase your strategic thinking and operational execution capabilities.