AI Enablement and Reliability Engineering Placement Year - 2027/87

CMETS CME Technology and Support Services Ltd.; Belfast City District; Hybrid; GBP 18,000 - 24,000; Full time

Job summary

CME Group invites undergraduates to join its AI Enablement & Reliability Engineering placement in Belfast for a 12-month rotation. You will work with engineering teams to integrate AI-driven tooling, build automated reliability frameworks, and support high-availability financial systems.

The program offers mentorship and hands-on experience in software and reliability practices. The role emphasizes collaboration on AI tooling, system resilience, and scalable design, with a schedule requiring

Qualifications

• Two-year university in CS or equivalent required.
• Proficient in Python, Java, or C++ with scripting/automation familiarity.
• Foundational understanding of software reliability concepts and AI/ML principles.
• Eligibility to work in the UK.

Responsibilities

• Ensure system performance, availability, and reliability under load with automated tests and instrumentation.
• Collaborate on system architecture, AI tooling integration, and reliability design.
• Assist in requirements gathering for AI enablement and resilience features.
• Write clean code and automation scripts complying with SRE standards.
• Identify opportunities to streamline workflows using AI-assisted tooling and automated tests.

Skills

Python

Java

C++

Automation scripts

AI/ML concepts

Education

Two-year university in Computer Science

Tools

Docker

CI/CD

AWS/GCP

Job description

CME Group – AI Enablement & Reliability Engineering Placement

CME Group is the world's leading and most diverse derivatives marketplace. We are seeking bright undergraduates to join our Engineering teams for a 12-month placement, focusing on AI Enablement and Reliability Engineering. In this rotational internship, you will work alongside technology teams to integrate AI-driven tooling, build automated reliability frameworks, and support high-availability financial systems. We offer structured mentorship and hands‑on experience for critical thinkers and creative problem solvers eager to advance their software and reliability engineering skills.

Principal Accountabilities

• Ensuring system performs under required load to pre‑defined standards of performance, availability, and reliability (e.g. through high quality system design, and developing automated tests and instrumentation to certify system performance, identify bottlenecks, and isolate root cause of outliers)
• Collaborate on system architecture, AI tooling integration, and reliability design discussions
• Assist in requirements gathering for AI enablement initiatives and system resilience features
• Write clean, high‑quality code and automation scripts adhering to software engineering and site reliability standards
• Identify opportunities to streamline software workflows using AI‑assisted developer tools and automated testing

Competencies

• Analytical mindset with strong troubleshooting skills for complex distributed systems
• Strong attention to detail
• Curiosity for artificial intelligence, machine learning tools, and site reliability engineering (SRE) practices
• Happy to take personal responsibility and be accountable for outcomes
• Proven communication, analysis and problem solving skills
• Customer focused with a talent for building excellent working relationships with business and technical stakeholders
• Ability to work to tight deadlines and effective prioritization of workload

Candidate Criteria

• 2 Years University in Computer Science or equivalent - This is a placement year opportunity for students moving into their third year
• Coding proficiency in Python, Java, or C++, with familiarity with scripting and automation
• Foundational understanding of software reliability concepts, system monitoring, or AI/ML principles
• Eligibility to work in the UK.
• Desirable Exposure to AI developer APIs, LLM frameworks, or automated code generation tools SQL Experience with cloud infrastructure (AWS/GCP), CI/CD pipelines, containerization (Docker), or Linux platforms

July 2027 start, 12 month placement in Belfast. Please note that successful applicants will be based in the office in Belfast at least two or three days per week.

About CME Group

CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more. At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal‑opportunity employer, we consider all potential employees without regard to any protected characteristic.

For U.S. employment, CME Group is legally required to validate a new hire’s employment eligibility by having them complete an Employment Eligibility Verification (Form I‑9) companied with legally acceptable proof of identity and work authorization (as listed on the Form I‑9). CME Group uses E‑Verify, which is an online system operated by the U.S. Department of Homeland Security in partnership with the Social Security Administration to verify employment eligibility and validate social security numbers. Through participation in the E‑Verify program, information entered on Form I‑9 will be provided and compared to information available at both of these agencies. See posters below for more details. E‑Verify Notice E‑Verify Notice Español U.S. Right to Work Notice U.S. Right to Work Notice Español