At a Glance
- Tasks: Build AI platforms and intelligent workflows in financial services.
- Company: Major consulting and technology organisation with a focus 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.
- 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.
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 Services Consulting in Manchester employer: Datatech Analytics
As a leading consulting and technology organisation in Manchester, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through our comprehensive training programmes and opportunities to work on cutting-edge AI projects within the Financial Services sector. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey in a hybrid working environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Services Consulting in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. The more you engage, the better your chances of landing that AI Engineer role.
✨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 have loads of opportunities for AI Engineers at various levels, and applying directly can give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Engineer - Financial Services Consulting in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with AI engineering, especially in financial services, and don’t forget to mention any relevant projects or technologies you've worked with.
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 skills align with what we’re looking for. Keep it concise but impactful!
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include specific examples of your work with Python, SQL, and any cloud platforms like AWS or Azure. Mention any experience with LLMs or MLOps as well!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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.
