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- Tasks: Lead AI engineering projects and mentor a talented team across diverse sectors.
- Company: Join a leading firm transforming industries with innovative AI solutions.
- Benefits: Enjoy a competitive salary, hybrid work model, and continuous learning opportunities.
- Other info: Dynamic role with opportunities for travel and professional growth.
- Why this job: Shape the future of AI while making a real impact in various sectors.
- Qualifications: Expertise in software engineering, applied AI, and cloud architecture required.
The predicted salary is between 80000 - 100000 ÂŁ per year.
You will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production‑grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross‑sector model gives you broad exposure to different regulatory environments, data landscapes and operating models, while building deep engineering capability that transfers across industries.
Location: London CP / Manchester / Birmingham / Edinburgh / Belfast Hybrid with client‑site travel.
Contract: Permanent, full‑time
Role Purpose
Lead technical delivery across solution threads: set technical direction, mentor engineers, and ensure systems are production‑ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership.
What you’ll do
- Shape engineering approaches; engage senior stakeholders; articulate trade‑offs; ensure engineering quality across squads and complex client environments.
- Architect enterprise‑grade AI services (agents, RAG pipelines, orchestration layers, platform components); ensure operational readiness; drive Responsible AI, evaluation and best practices.
- Mentor engineers; lead technical reviews; establish reference architectures and reusable accelerators; contribute to internal knowledge sharing and external thought leadership.
What we’re looking for
Essential
- Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD).
- Applied‑AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management.
- Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security.
- Data engineering depth (Spark/Databricks; ETL/ELT); cloud‑native data + AI architectures.
- Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).
- Consulting leadership: stakeholder, budget and risk management; team leadership.
Nice to have
- Graph/big‑data stacks; streaming; cloud architect certifications and Responsible AI governance credentials.
- PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential.
Travel & working model
Hybrid with periodic client travel across the UK (and occasional international travel).
Senior Applied AI Engineer (Manager) TC in Edinburgh employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer (Manager) TC in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI engineering. We recommend doing mock interviews with friends or using online resources to get comfortable articulating your experience and technical skills.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing real-world applications of your skills, especially in areas like Python, cloud architecture, and AI systems.
✨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, we’re always looking for talented individuals who are ready to take on exciting challenges in AI engineering.
We think you need these skills to ace Senior Applied AI Engineer (Manager) TC in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Applied AI Engineer role. Highlight your expertise in Python, cloud architecture, and any relevant projects you've led. We want to see how you can bring value to our diverse portfolio of clients!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about applied AI and how your background makes you a perfect fit for this role. Don’t forget to mention your experience with mentoring and leading teams, as that's key for us.
Showcase Your Projects: If you've worked on any cool AI projects or have experience with distributed systems, make sure to include those in your application. We love seeing real-world applications of your skills, especially in regulated environments like finance or public sector.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at EY
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, TypeScript, and cloud platforms. Brush up on your knowledge of distributed systems and CI/CD practices, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
As a Senior Applied AI Engineer (Manager), you'll need to demonstrate your ability to lead teams and mentor engineers. Prepare examples from your past experiences where you've successfully managed projects or guided team members through complex challenges.
✨Understand the Business Context
Familiarise yourself with the sectors the company operates in, such as Financial Services and Public Sector. Be ready to discuss how your technical skills can address specific challenges in these areas, showing that you understand the broader impact of your work.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and decision-making processes. Think about scenarios where you had to make trade-offs between engineering quality and project deadlines, and be prepared to articulate your thought process clearly.