AI Platform & Observability Lead

Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers.

Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs - offering peace of mind to our clients and their customers.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

We partner with Computershare to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

On behalf of Computershare, we are looking for an AI Platform & Observability Lead for a 12 Months contract based in London orEdinburgh (Hybrid - 3 days per week in the office).

Join us as an AI Platform & Observability Lead .

As an AI Platform & Observability Lead, you will own and operate the enterprise AI platform that underpins the delivery of scalable, secure, and reliable AI solutions. You will ensure AI systems in production are observable, cost-efficient, and resilient, enabling engineering teams to build and run AI capabilities with confidence.

Your key responsibilities will include

Define, build, and operate the enterprise AI platform, providing shared services and environments for AI development and deployment.

Establish end-to-end observability across AI systems, including monitoring, logging, tracing, and performance tracking (latency, cost, quality).

Implement and manage LLMOps and MLOps practices, including CI/CD pipelines, model and prompt versioning, and deployment strategies.

Embed security, governance, cost controls, and Responsible AI guardrails into the platform by design.

Ensure reliability and performance of AI services in production, including incident management, optimisation, and continuous improvement.

Provide self-service tools, standards, and best practices to enable engineering teams to build and scale AI solutions efficiently.

What you will bring to the role

Strong experience in platform engineering, DevOps, or infrastructure engineering in enterprise environments.

Proven expertise in observability, monitoring, and system performance management at scale.

Hands-on experience with cloud platforms (AWS, Azure) and modern infrastructure (e.g., containers, Kubernetes, CI/CD pipelines).

Experience with MLOps/LLMOps or supporting AI/ML systems in production environments.

Solid understanding of security, governance, and cost management within cloud-based platforms.

Experience working in financial services or a regulated environment (preferred/strong advantage).

Next steps

Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists.

AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements.

We can only accept workers operating via an Umbrella or PAYE engagement model.

Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.