At a Glance
- Tasks: Build AI platforms and workflows that transform financial services.
- Company: Leading consulting firm at the forefront of AI 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 banking with AI.
- Qualifications: Strong software or data engineering skills; 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.
Locations
AI Engineer - Financial Services Consulting in Cheshire, Warrington 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 diverse training programmes and opportunities for advancement, making us an excellent employer for those passionate about AI in the financial services sector. With a hybrid working model and a focus on cutting-edge technologies, we offer a unique environment where your contributions can make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Services Consulting in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI and Financial Services. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – 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 related to banking or financial services. This could be anything from GitHub repos to case studies – let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI engineering and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer - Financial Services Consulting in Cheshire, Warrington
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 and how your skills align with our needs. Be sure to mention specific technologies like Python, SQL, and cloud platforms that you’re familiar with.
Showcase Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Use clear, concise language and structure your documents well. We want to see how you can convey complex ideas simply!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
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 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 hands-on experience with CI/CD, MLOps, or vector databases, make sure to mention it. This shows you're ready to hit the ground running.
✨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 previous roles, particularly in regulated industries, and how you overcame them. This will demonstrate your practical experience and readiness for the role.
