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 and shape the future of AI in banking.
- Qualifications: Strong software or data engineering background with AI experience.
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.
If you're open to a confidential conversation about the market, please message me directly.
AI Engineer - Financial Service Consulting in Dunfermline 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 Dunfermline
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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 want to see your work in action, so don’t be shy about sharing your GitHub or any relevant demos.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and scenarios specific to AI engineering. Remember, confidence is key!
✨Tip Number 4
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 and eager to join our team.
We think you need these skills to ace AI Engineer - Financial Service Consulting in Dunfermline
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 sure to mention specific technologies or methodologies from the job description that you’re familiar with.
Showcase Your Technical Skills:In your application, be clear about your technical expertise. Whether it's Python, SQL, or cloud platforms like AWS or Azure, we want to see how you’ve applied these skills in real-world scenarios. Don’t hold back on the details!
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.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built AI solutions or worked on data transformation projects. Highlight your experience in financial services and how you tackled challenges in that regulated environment.
✨Communicate Clearly and Confidently
Strong communication is key, especially when collaborating with engineering and business teams. Practice explaining complex concepts in simple terms, so you can demonstrate your stakeholder skills effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and their approach to governance and operational rollout. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
