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 Broughton 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 programmes and opportunities for advancement, making us an excellent employer for AI Engineers looking to make a meaningful impact in the Financial Services sector. With a hybrid working model, we offer flexibility alongside the chance to work on cutting-edge AI solutions that drive transformation across banking and finance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Service Consulting in Broughton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with AI professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to 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. Practice common interview questions and be ready to discuss your experience with Python, SQL, and cloud platforms like AWS or Azure.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities in AI engineering and consulting. 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 Broughton
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 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.
