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- Tasks: Design and deploy AI solutions that transform financial services and enhance decision-making.
- Company: Join a global leader in digital transformation within the financial sector.
- Benefits: Competitive salary, performance bonuses, flexible working, and professional development opportunities.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: 2-5 years of AI/ML experience, strong Python skills, and a background in financial services.
- Other info: Collaborative culture with excellent career growth and exposure to innovative AI frameworks.
The predicted salary is between 28800 - 48000 £ per year.
Location: Hybrid (Europe)
Salary: Competitive Performance Bonuses
Experience: 2–5 Years Commercial AI/ML Experience
Are you an AI Engineer with a passion for building high-impact solutions in the financial services sector? We’re hiring AI Engineers to join a global organisation undergoing major digital transformation. You’ll work on real-world automation, machine learning, and data-driven strategy initiatives that power critical functions across a large-scale financial environment.
About the Role
As an AI Engineer, you’ll design, build, and deploy AI and automation solutions that modernise business processes, enhance decision-making, and drive operational efficiency. You’ll collaborate with cross-functional teams—including business strategy, operations, and engineering—to translate complex problems into scalable AI systems. This is a fantastic opportunity for someone who wants to grow in a high-performance environment and solve meaningful challenges within a regulated financial ecosystem.
Key Responsibilities
- Develop and deploy machine learning models and automation workflows
- Build data pipelines and integrate models into business systems
- Analyse financial and operational datasets to uncover insights
- Work with stakeholders to translate business needs into AI solutions
- Collaborate on AI governance, compliance, and model lifecycle management
- Optimise existing models for performance, reliability, and accuracy
- Contribute to digital transformation initiatives across the organisation
What We’re Looking For
- 2–5 years of commercial experience in AI/ML engineering
- Strong Python skills (plus SQL and experience with modern ML frameworks)
- Background in financial services, banking, or fintech
- Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.)
- Familiarity with cloud platforms (GCP preferred, or AWS/Azure)
- Strong analytical mindset and ability to solve complex problems
- Excellent communication and collaboration skills
- Experience with data engineering, MLOps, or automation tools is a plus
Why Join Us?
- Work with global teams across Europe
- Huge opportunity to grow in a major digital transformation environment
- Build cutting-edge AI solutions used across critical business functions
- Supportive, collaborative, and forward-thinking culture
- Exposure to financial-grade AI, governance, and model risk frameworks
Perks & Benefits
- Competitive salary
- Annual performance bonuses
- Flexible working and hybrid/remote options
- Professional development & AI/ML training support
- Comprehensive health & wellbeing initiatives
- Generous annual leave package
- Access to cutting-edge tech, cloud platforms, and enterprise tools
This is an exciting opportunity to accelerate your career as an AI Engineer within a forward-thinking, innovation-driven financial institution. If you're skilled, ambitious, and ready to build impactful AI solutions—we’d love to hear from you! Apply now and take the next step in your AI career!
Locations
Artificial Intelligence Engineer in City of London, London employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in City of London, London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. 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 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 common AI/ML questions and case studies. Practice explaining your thought process clearly, as communication is key when collaborating with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Artificial Intelligence Engineer in City of London, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI/ML, especially in financial services. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in the financial sector and how you can contribute to our digital transformation. Keep it engaging and personal—let us know what makes you tick!
Showcase Your Technical Skills: We’re looking for strong Python skills and experience with modern ML frameworks. Be sure to mention any specific tools or technologies you’ve worked with, like MLflow or cloud platforms, as this will help us see your fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts and submit your materials!
How to prepare for a job interview at Intellect Group
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific projects you've worked on, especially those related to financial services. Highlight your experience with tools like MLflow or FastAPI, as well as your Python skills.
✨Understand the Business
Familiarise yourself with the financial services sector and the challenges it faces. Think about how AI can solve these problems and be prepared to share your insights during the interview. This shows that you’re not just a techie but also understand the business impact of your work.
✨Showcase Collaboration Skills
Since you'll be working with cross-functional teams, be ready to talk about your collaboration experiences. Share examples of how you've successfully worked with stakeholders to translate business needs into AI solutions. Communication is key!
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. Ask about their current AI initiatives, team dynamics, or how they measure success in AI projects. This demonstrates your genuine interest in the role and helps you assess if it's the right fit for you.