At a Glance
- Tasks: Build AI platforms and intelligent workflows in the financial services sector.
- Company: Join a leading consulting and technology organisation driving AI transformation.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Open to all levels, from Engineers to Senior Managers, in a dynamic environment.
- Why this job: Make an impact by developing cutting-edge AI solutions in banking and finance.
- Qualifications: Strong software or data engineering background with AI solution experience.
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. 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 London employer: Datatech Analytics
Join a leading consulting and technology organisation in London, where innovation meets collaboration. As an AI Engineer, you'll thrive in a hybrid work environment that fosters professional growth and offers opportunities to work on cutting-edge AI solutions in the financial services sector. With a strong emphasis on employee development, a supportive culture, and access to advanced technologies, this role provides a unique chance to make a meaningful impact while advancing your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Service Consulting in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 you an edge and demonstrate your hands-on experience to potential employers.
✨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. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities for AI Engineers at various levels. It’s a great way to get noticed and show us you’re serious about joining the team.
We think you need these skills to ace AI Engineer - Financial Service Consulting in London
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, SQL, and any relevant projects in financial services to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background fits into our mission. Share specific examples of your work with LLMs or cloud platforms to show us what you can bring to the table.
Showcase Your Projects:If you've worked on any AI-enabled solutions or have experience with modern data platforms, make sure to include those in your application. We love seeing real-world applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures you’re considered for the right role!
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 understand the technical requirements of the role.
✨Showcase Your Collaboration Skills
Since the job 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 help demonstrate that you're a team player.
✨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 any specific frameworks like LangChain, make sure to mention it during the interview.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in previous roles, particularly in delivering AI solutions, and how you overcame them. This will help you stand out as a candidate who can think critically under pressure.
