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- Tasks: Design and build cutting-edge ML/AI solutions and scalable full-stack applications.
- Company: Globally recognised financial services firm with a collaborative, agile engineering team.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Confidential search with a commitment to diversity and inclusion.
- Why this job: Join a forward-thinking team and make a real impact in AI-driven financial solutions.
- Qualifications: 5+ years in software engineering, strong Python skills, and experience with GenAI applications.
The predicted salary is between 90000 - 95000 £ per year.
We're partnering with a globally recognised financial information services business to find a Senior Software Engineer with a passion for AI and full-stack development. This is a rare opportunity to join a high-calibre, agile engineering team building intelligent, cloud-native solutions that power data-driven decision-making for customers across global markets.
You’ll be at the forefront of designing and delivering ML/AI solutions, combining classical machine learning with modern LLM and deep learning approaches, while also contributing to scalable, enterprise-grade full-stack applications. The team is collaborative, forward-thinking, and genuinely invested in doing great work.
THE ROLE- Design and build ML/AI solutions using classical ML, deep learning, and LLM approaches aligned to real product outcomes.
- Develop and maintain scalable full-stack web applications using React/TypeScript on the front end and Python/FastAPI on the back end.
- Build and maintain microservices-based components within a modern cloud, containerised, and serverless architecture.
- Partner with Product Owners and stakeholders to define architecture, design solutions, and optimise engineering processes.
- Champion development best practices, including CI/CD, DevSecOps, versioning, and automated testing.
- Own data quality and build deep domain knowledge in your allocated areas.
- 5+ years designing distributed application architecture of moderate-to-high complexity.
- 5+ years in software engineering or applied ML, with strong Python and backend expertise.
- Hands-on experience building GenAI applications with LangChain and LangGraph, including agent design, memory management, and graph-based orchestration.
- Proficiency in ML/NLP, generative models, embeddings, vector stores, RAG pipelines, and LLM fine-tuning (OpenAI, LLaMA, Cohere, etc.).
- 3–5+ years building scalable web applications with React/TypeScript.
- Solid experience with PyTorch/TensorFlow, MLflow, and CI/CD pipelines.
- Excellent communication skills and the ability to work effectively within agile, cross-functional teams.
This is a confidential search. Our client is an equal opportunity employer committed to building diverse, inclusive teams. If this sounds like the right challenge for you, we’d love to hear from you.
Software Engineer (AI) in City of London employer: James Adams
Contact Detail:
James Adams Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (AI) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. 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 projects, especially those related to AI and full-stack development. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence before the big day.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team. Don’t miss out!
We think you need these skills to ace Software Engineer (AI) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI, full-stack development, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and software engineering, and explain why you're excited about this role. Let us know how your background aligns with our mission at StudySmarter.
Showcase Your Projects: If you've worked on any cool projects, especially those involving ML/AI or full-stack applications, make sure to mention them. We love seeing real-world examples of your work and how you tackle challenges.
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 shows you’re keen on joining our awesome team!
How to prepare for a job interview at James Adams
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, React, and FastAPI. Brush up on your knowledge of ML/NLP concepts and be ready to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in software engineering or AI projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Demonstrate Collaboration
Since the role involves working with Product Owners and cross-functional teams, be ready to share examples of how you’ve successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and full-stack development. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.