At a Glance
- Tasks: Build AI platforms and intelligent workflows in financial services.
- Company: Major consulting and technology organisation with a focus on AI transformation.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Open to all levels, from Engineers to Senior Managers.
- Why this job: Join a dynamic team and shape the future of banking with AI.
- Qualifications: Strong software or data engineering background and experience in AI solutions.
The predicted salary is between 60000 - 80000 € per year.
We're 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.
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 Analytics
Join a leading consulting and technology organisation in Scotland, where innovation meets opportunity. As an AI Engineer, you'll thrive in a hybrid work environment that fosters collaboration and creativity, while contributing to transformative AI solutions in the financial services sector. With a strong emphasis on employee growth, cutting-edge projects, and a supportive culture, this role offers a unique chance to advance your career in a dynamic and rewarding field.
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 industry, attend meetups, and connect with AI professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial services. We recommend using platforms like GitHub to share your code and demonstrate your expertise in Python, SQL, and cloud technologies.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and case studies. We suggest practising with friends or using mock interview platforms to get comfortable discussing your experience with LLMs and AI integrations.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities for AI Engineers at various levels. It’s a great way to get noticed and show us you’re serious about joining our team in delivering cutting-edge AI solutions.
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, and don’t forget to mention any relevant projects or technologies you've worked with.
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 great fit for our team. Be sure to mention specific technologies or methodologies from the job description that you’re familiar with.
Showcase Your Technical Skills:Since we’re looking for someone with strong software or data engineering foundations, make sure to list your technical skills clearly. Include languages like Python and SQL, as well as any experience with cloud platforms like AWS or Azure that you have.
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 Datatech Analytics
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and cloud platforms. Brush up on your knowledge of LLMs and RAG pipelines, as these are crucial for the role. Being able to discuss your experience with these tools confidently will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built AI solutions or worked on data transformation projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your ability to tackle challenges in financial services and regulated environments.
✨Communicate Effectively
Strong communication skills are essential, especially when collaborating with engineering and business teams. Practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between tech and non-tech stakeholders, which is vital in consulting roles.
✨Research the Company Culture
Before the interview, take some time to understand the company’s values and culture. This will help you tailor your responses to align with their expectations. Showing that you’re a good cultural fit can be just as important as your technical skills.
