At a Glance
- Tasks: Build AI platforms and intelligent workflows in financial services.
- Company: Major consulting and tech organisation leading AI transformation.
- Benefits: Hybrid work, competitive salary, and opportunities for career advancement.
- Other info: Open to all levels, from Engineers to Senior Managers.
- Why this job: Join a dynamic team shaping the future of banking with AI.
- Qualifications: Strong software or data engineering background; AI solution experience preferred.
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. 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.
If you're open to a confidential conversation about the market, please message me directly.
Locations
AI Engineer - Financial Service Consulting in Edinburgh, Scotland employer: Datatech Analytics
As a leading consulting and technology organisation in Scotland, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through our diverse training opportunities and the chance to work on cutting-edge AI projects within the Financial Services sector. With a hybrid working model, we offer flexibility and a supportive environment that empowers our team to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Service Consulting in Edinburgh, Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that AI Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial services. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with Python, SQL, and cloud platforms. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities for AI Engineers in Financial Services. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace AI Engineer - Financial Service Consulting in Edinburgh, Scotland
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 tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your experience with LLMs, cloud platforms, and any relevant frameworks.
Showcase Your Technical Skills:In your application, make sure to highlight your technical expertise, especially in Python, SQL, and any cloud services like AWS or Azure. We want to see how you’ve applied these skills in real-world scenarios, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Datatech Analytics
✨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 Technical Skills
Prepare to demonstrate your proficiency in Python, SQL, and any cloud platforms like AWS or Azure. You might be asked to solve a technical problem on the spot, so practice coding challenges related to AI integrations and backend services.
✨Communicate Clearly
Strong communication skills are key, especially when collaborating with different teams. Practice explaining complex AI concepts in simple terms, as you'll need to convey your ideas effectively to both technical and non-technical stakeholders.
✨Understand the Financial Landscape
Familiarise yourself with the financial services industry and its regulations. Being able to discuss how AI can transform banking, risk management, and fraud detection will show that you understand the business context of your technical work.
