At a Glance
- Tasks: Build AI platforms and workflows that transform financial services.
- Company: Leading consulting and tech firm in Edinburgh with a focus on innovation.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- 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 finance.
- Qualifications: Experience in software or data engineering and strong communication skills.
The predicted salary is between 50000 - 70000 £ 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.
AI Engineer - Financial Service Consulting in Edinburgh employer: Energy Jobline CVL
Join a leading consulting and technology organisation in Edinburgh, where innovation meets opportunity. As an AI Engineer, you'll thrive in a collaborative work culture that values continuous learning and professional growth, with access to cutting-edge technologies and projects in the financial services sector. Enjoy a hybrid working model that promotes work-life balance while contributing to impactful AI solutions that drive transformation across banking and risk management.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Service Consulting in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that AI Engineer role.
✨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 with LLMs and backend services – it’ll make you stand out in interviews!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to 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 about their job search!
We think you need these skills to ace AI Engineer - Financial Service Consulting in Edinburgh
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!
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 perfect fit for our team. Don’t forget to mention any relevant projects or technologies you've worked with.
Showcase Your Technical Skills:We love seeing your technical prowess! Be sure to include specific examples of your work with Python, SQL, and any cloud platforms like AWS or Azure. This will help us understand your hands-on experience.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Energy Jobline CVL
✨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 understand the technical requirements of the role.
✨Showcase Your Collaboration Skills
Since the job involves working across engineering, architecture, and business teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any projects where you worked with diverse teams to deliver AI solutions, as this will demonstrate your ability to communicate effectively with stakeholders.
✨Get Familiar with the Tools
Familiarise yourself with the 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 vector databases, make sure to mention it. Showing that you're comfortable with these technologies can set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with insightful questions about their AI transformation programmes. Ask about their approach to governance and operational rollout, or how they see AI evolving in the financial sector. This not only shows your interest but also helps you gauge if the company is the right fit for you.
