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- Tasks: Lead hands-on assessments to ensure AI systems are trustworthy and compliant.
- Company: Join Macquarie, a global financial services leader with a supportive culture.
- Benefits: Flexible working, wellbeing leave, comprehensive insurance, and learning opportunities.
- Other info: Diverse and inclusive environment with excellent career growth potential.
- Why this job: Shape the future of responsible AI while driving innovation and safeguarding against risk.
- Qualifications: Experience in software engineering and knowledge of AI system design is a plus.
The predicted salary is between 60000 - 80000 £ per year.
Join our Global AI Engineering and Assurance team and help shape the future of responsible AI at Macquarie. In this pivotal technical role, you'll apply your expertise to ensure AI systems are trustworthy, scalable and compliant, driving innovation while safeguarding against risk.
You’ll be part of a friendly and supportive team where everyone contributes ideas and drives outcomes.
As an AI Assurance Technical Expert, you will lead hands-on assurance assessments that evaluate how AI systems are designed, implemented, and deployed across Macquarie. You will review code, system architecture, and support engineering practices to ensure they meet our standards for scalability, security, compliance, and responsible AI. You will guide delivery teams in applying effective evaluation approaches and integrating observability tools that strengthen transparency and trust in AI solutions. You will translate complex technical insights into clear, actionable guidance for both technical and non-technical stakeholders, ensuring risks and remediation steps are well understood. You will collaborate with teams across Macquarie to embed leading practices into engineering standards, governance, and assurance frameworks. You will also support the development of assessment tools, automation capabilities, and reusable frameworks that strengthen consistency and drive continuous improvement in AI engineering and oversight.
What You Offer
- Experience in software engineering, code review and architecture assessment.
- Knowledge of machine learning and AI system design is valuable.
- Familiarity with AI evaluation frameworks and observability tools for AI/ML and agentic systems.
- Experience working with cloud-based AI platforms and MLOps pipelines in regulated environments.
- Strong analytical and problem-solving skills, with excellent communication and stakeholder management capabilities.
- Experience in financial services or other regulated industries is valued.
What We Offer
- We offer a range of benefits and flexible working arrangements.
- Our compensation and benefits programs are designed to support your physical, mental and financial wellbeing, learning and development, and work-life balance.
- Wellbeing leave and annual leave entitlements.
- Paid parental leave for primary caregivers, transition leave on return, and leave for secondary caregivers.
- Fertility leave for those undergoing or supporting fertility treatment.
- Volunteer leave and donation matching.
- Salary sacrificing options.
- Comprehensive medical and life insurance cover.
- Employee Assistance Program with counselling and coaching services.
- Learning and development opportunities, including professional memberships or subscriptions.
- Emergency and backup dependent care services.
- Recognition and service awards.
- Hybrid and flexible working arrangements, dependent on role.
- Reimbursement for work-from-home equipment.
Diversity, Equity and Inclusion
We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply. We aim to provide reasonable adjustments during recruitment and employment as required. If you require additional assistance, please let us know during the application process.
Software Engineer - AI Engineering & Assurance employer: Macquarie Group
Contact Detail:
Macquarie Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - AI Engineering & Assurance
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those at Macquarie. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to AI systems and software engineering. This is your chance to demonstrate your expertise beyond the CV.
✨Tip Number 3
Ace the interview by being ready to discuss real-world scenarios. Think about how you've tackled challenges in AI assurance or code reviews, and be prepared to share those stories with confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Software Engineer - AI Engineering & Assurance
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Software Engineer role. Highlight your experience in software engineering, code review, and AI system design, as these are key aspects of what we're looking for.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that show how you've tackled challenges in AI engineering and assurance. This will help us see how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Remember, we want to understand your experience and insights without getting lost in technical terms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Macquarie Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, machine learning, and the specific frameworks mentioned in the job description. Be ready to discuss how you've applied these concepts in past projects, especially in regulated environments.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in software engineering. Think about specific challenges you've faced with code reviews or architecture assessments and how you resolved them. This will demonstrate your analytical abilities.
✨Communicate Clearly
Since you'll be translating technical insights for various stakeholders, practice explaining complex ideas in simple terms. Use examples from your experience where you successfully communicated technical information to non-technical audiences.
✨Collaborate and Contribute
Highlight your experience working in teams and how you've contributed to embedding best practices in engineering standards. Be prepared to discuss how you can help foster a collaborative environment at Macquarie, as teamwork is key in this role.