At a Glance
- Tasks: Develop AI applications for financial services and collaborate with business teams.
- Company: Dynamic financial services organisation focused on innovative AI solutions.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Exciting role with potential for significant impact and career advancement.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Strong Python skills and experience in AI application development.
The predicted salary is between 81000 - 99000 £ per year.
Three opportunities available in London (hybrid, 2-3 days onsite) for Senior AI Engineers in the financial services sector. This role involves developing internal AI capabilities and working alongside business stakeholders, architects, and platform specialists to create secure and measurable applications.
What you'll be doing:
- Work with business teams to understand processes, challenge assumptions, and identify where AI can deliver practical value.
- Build production-quality AI applications, including retrieval-augmented generation, tool-enabled assistants, and agentic workflows.
- Connect applications to enterprise data, APIs, and existing systems, respecting access permissions and information boundaries.
- Develop evaluation approaches covering accuracy, reliability, security, latency, and cost.
- Build appropriate human review, exception handling, logging, and fallback behaviour into AI workflows.
- Work with platform and DevOps engineers to deploy, monitor, and improve applications.
- Contribute reusable components, code reviews, documentation, and knowledge transfer as the internal team grows.
What we need:
- Strong Python engineering skills, with experience building tested, maintainable applications and APIs.
- Evidence of taking AI or machine-learning applications into production and supporting them beyond launch.
- Hands-on experience with LLM integration, retrieval, embeddings, and structured outputs.
- Experience delivering in a regulated industry is essential, ideally banking, insurance, investment management, or wider financial services.
- An understanding of how sensitive data, auditability, access controls, and operational resilience affect engineering decisions.
- Confidence working directly with business stakeholders and explaining technical trade-offs.
- Strong SQL and experience integrating with enterprise data platforms.
- Relevant technology experience: Python, SQL, API frameworks such as FastAPI, Git, Docker, and automated testing are particularly useful. Experience with Snowflake is highly relevant.
- Experience with services such as Amazon Bedrock, Azure OpenAI or Azure AI services, and models from providers including Anthropic, OpenAI, and open-source ecosystems is welcomed.
- Frameworks such as LangGraph or Semantic Kernel, vector search, and evaluation tools such as MLflow or LangSmith would also be useful.
You do not need every tool listed. We are looking for sound engineering judgement and the ability to choose an appropriate approach, rather than allegiance to one model or framework.
Contract details: London hybrid, with 2-3 days onsite. Inside IR35. Appointment is subject to the required security screening and clearance process.
Ai Engineer employer: SR2 REC LTD
SR2 REC LTD is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee growth and development, we provide opportunities for our team members to enhance their skills while working on cutting-edge authentication and identity projects. Our collaborative culture fosters teamwork and creativity, making it a rewarding place for professionals looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Ai Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at SR2 REC LTD or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to SR2 REC LTD.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like SR2 REC LTD.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like SR2 REC LTD that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Ai Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SR2 REC LTD.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SR2 REC LTD and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at SR2 REC LTD
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SR2 REC LTD uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
