At a Glance
- Tasks: Build AI solutions for banking and financial services, transforming data into intelligent workflows.
- Company: Join a leading consulting firm at the forefront of AI and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with roles from Engineer to Senior Manager available.
- Why this job: Make a real impact in the financial sector with cutting-edge AI technologies.
- Qualifications: Strong software or data engineering background; experience in AI solutions is a plus.
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 Midlothian 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, encourages creativity, and provides access to cutting-edge technologies. Our commitment to employee development and a supportive culture makes us an exceptional employer for those looking to make a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Service Consulting in Midlothian
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Engineer - Financial Service Consulting in Midlothian
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI solutions, cloud platforms, and any relevant projects in financial services. We want to see how your skills match what we're looking for!
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. Don't forget to mention specific technologies you've worked with that align with our needs.
Showcase Your Projects:If you've worked on any AI projects, especially in banking or finance, make sure to showcase them. We love seeing real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures your details are in the right hands. Plus, it's super easy to do!
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 any relevant projects you've worked on. 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 communication skills will demonstrate that you can bridge the gap between technical and non-technical stakeholders.
✨Get Hands-On with Tools
Familiarise yourself with the tools mentioned in the job description, like Python, SQL, and cloud platforms such as AWS or Azure. If you’ve used FastAPI or have experience with CI/CD processes, make sure to mention these during your interview. Practical knowledge can set you apart from other candidates.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities in real-world situations. Think about challenges you've faced in AI deployment or governance and how you overcame them. This will help the interviewers see your thought process and how you handle pressure.
