At a Glance
- Tasks: Design and build cutting-edge AI applications that tackle real business challenges.
- Company: Leading consulting and technology organisation transforming the financial services sector.
- 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 make a tangible impact in AI and digital transformation.
- Qualifications: Strong foundation in software or data engineering with AI product experience.
The predicted salary is between 60000 - 80000 £ per year.
We're supporting a leading consulting and technology organisation delivering large scale AI, data and digital transformation programmes across Financial Services. The focus is taking AI beyond experimentation and into production, building scalable solutions that solve real business challenges across banking, fraud, risk, operations and customer experience.
What you'll be doing:
- Designing and building production-grade AI applications and intelligent automation solutions
- Developing LLM-powered products, RAG architectures and agent-based workflows
- Building scalable APIs, backend services and AI integration layers
- Working closely with engineering, architecture and business stakeholders
- Supporting deployment, governance, monitoring and operationalisation of AI solutions
Technology Environment:
- Python, SQL
- LLMs, GenAI, Prompt Engineering, Fine-Tuning
- RAG, Vector Databases, Embeddings
- LangChain, LangGraph, Agent Frameworks
- FastAPI, APIs, Microservices
- AWS, Azure, GCP, Databricks
- CI/CD, MLOps, LLMOps
We're looking for:
- Strong software engineering, platform engineering or data engineering foundations
- Experience building and deploying AI-enabled products or services
- Exposure to cloud-native architectures and modern data platforms
- Financial Services, Banking or other regulated industry experience
- Strong stakeholder engagement and communication skills
Open to candidates from Engineer through to Senior Manager level. If you'd be interested in a confidential discussion about the market and current opportunities, please get in touch.
AI Engineer in Scotland employer: Datatech Analytics
Join a leading consulting and technology organisation that champions innovation in AI and digital transformation within the Financial Services sector. With a hybrid work model across vibrant locations like London, Manchester, and Scotland, we foster a collaborative culture that prioritises employee growth through hands-on projects and leadership opportunities. Our commitment to developing cutting-edge AI solutions not only enhances your career but also contributes to solving real-world business challenges, making us an exceptional employer for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections; 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 involving Python, LLMs, or cloud-native architectures. We love seeing what you can do, and it gives you a leg up when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. We recommend practising coding challenges and discussing your past projects. Confidence is key, so let your passion for AI shine through!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented AI Engineers and leaders. It’s a great way to get noticed and ensures your application lands directly in front of us.
We think you need these skills to ace AI Engineer in Scotland
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 with Python, cloud-native architectures, and any relevant projects you've worked on in financial services.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Mention specific technologies like LLMs or FastAPI that you've worked with to show your expertise.
Showcase Your Projects:If you've built any AI applications or worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your problem-solving skills in a business context.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, SQL, and cloud platforms such as AWS or Azure. Be ready to discuss your experience with LLMs and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex AI challenges in previous roles. Highlight specific projects where you designed scalable solutions that addressed business needs, especially in financial services or regulated industries.
✨Engage with Stakeholders
Demonstrate your communication skills by discussing how you've collaborated with engineering and business teams. Share instances where your stakeholder engagement led to successful project outcomes, showing that you can bridge the gap between tech and business.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and their approach to digital transformation. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
