At a Glance
- Tasks: Build AI platforms and intelligent workflows in the financial services sector.
- Company: Leading consulting and technology organisation focused on AI transformation.
- Benefits: Hybrid work model, competitive salary, 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 banking with AI solutions.
- 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.
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.
AI Engineer - Financial Service Consulting in Bonnyrigg employer: Datatech Analytics
Join a leading consulting and technology organisation that champions innovation in AI and data transformation within the Financial Services sector. With a hybrid work model based in Scotland, we offer a collaborative environment that fosters professional growth and development, alongside competitive benefits and a commitment to employee well-being. Here, you will have the opportunity to work on cutting-edge AI solutions while being part of a supportive team that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Service Consulting in Bonnyrigg
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and Financial Services. Use platforms like LinkedIn to connect and engage with them; 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 financial services. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and cloud platforms. Practice common interview questions and think about how your past work aligns with the role you're applying for.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer - Financial Service Consulting in Bonnyrigg
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!
Showcase Your Projects:Include any relevant projects you've worked on, particularly those involving LLMs, RAG pipelines, or cloud platforms. We love seeing practical examples of your work and how you’ve tackled challenges.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in financial services and how your background makes you a great fit for our team at StudySmarter.
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 you’re excited about!
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 scalable backend services. This will show that you’re not just familiar with the tech but can apply it effectively.
✨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 in the past. Highlighting your strong communication skills will set you apart from other candidates.
✨Get Familiar with the Tools
Dive into the specific tools 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 any relevant frameworks, make sure to mention these during your interview to demonstrate your technical prowess.
✨Understand the Financial Services Landscape
Since experience in the financial services sector is essential, do your homework on current trends and challenges in this industry. Being able to discuss how AI can address these issues will show that you’re not only technically skilled but also understand the business context.
