At a Glance
- Tasks: Build AI platforms and workflows, collaborating with teams to deliver innovative solutions.
- Company: Leading consulting and technology firm transforming financial services with AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Open to all levels, from Engineers to Senior Managers, with excellent career progression.
- Why this job: Join a dynamic team and shape the future of AI in banking and finance.
- Qualifications: Strong software or data engineering skills and experience in AI solutions.
The predicted salary is between 60000 - 80000 € per year.
AI Engineers are supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking. The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership.
What you’ll be doing:
- Building AI-enabled platforms and intelligent workflows
- Working with LLMs, RAG pipelines and embedding models
- Developing scalable backend services and AI integrations
- Collaborating across engineering, architecture and business teams
- Supporting AI deployment, governance and operational rollout
Environment:
- Python, SQL
- LLMs, prompt engineering, fine-tuning, RAG
- LangChain, LangGraph, Agent frameworks
- Vector databases, FastAPI, APIs
- AWS, Azure, GCP or Databricks
- CI/CD, MLOps and LLMOps
Requirements:
- Strong software or data engineering foundations
- Experience delivering AI or AI-enabled solutions
- Exposure to cloud and modern data platforms
- Financial Services or regulated industry experience essential
- Strong communication and stakeholder skills
- Open to candidates from Engineer through to Senior Manager level.
AI Engineer - Financial Service Consulting in Edinburgh employer: Datatech
As a leading consulting and technology organisation, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from extensive growth opportunities within the rapidly evolving field of AI and financial services, supported by a commitment to professional development and cutting-edge projects. Located in a vibrant area, we offer a stimulating environment where talented individuals can thrive and make a meaningful impact in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Service Consulting in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services and AI space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to banking or risk management. This can really set you apart from the crowd and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python, SQL, and cloud platforms. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer - Financial Service Consulting in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your experience in building AI solutions, especially in financial services, to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention any relevant projects or technologies you've worked with.
Showcase Your Technical Skills:We love seeing your technical prowess! Be sure to include specific examples of your work with Python, SQL, and any cloud platforms like AWS or Azure. This will help us understand your hands-on experience.
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’s super easy!
How to prepare for a job interview at Datatech
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, especially in the context of financial services. Be ready to discuss your experience with LLMs, RAG pipelines, and how you've built production-grade AI solutions in the past.
✨Showcase Your Collaboration Skills
Since the role involves working across various teams, be prepared to share examples of how you've successfully collaborated with engineering, architecture, and business teams. Highlight your communication skills and how they helped in delivering projects.
✨Get Familiar with the Tech Stack
Dive into the specific technologies mentioned in the job description, like Python, SQL, and cloud platforms such as AWS or Azure. If you have experience with CI/CD, MLOps, or vector databases, make sure to bring that up during the interview.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in AI deployment or governance and how you overcame them, especially in a regulated industry like financial services.
