At a Glance
- Tasks: Design and build AI solutions, data pipelines, and dashboards for a leading international bank.
- Company: Join a top-tier international bank with a focus on innovation and technology.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge AI technologies.
- Other info: Be part of a growing AI team and influence how AI is governed and deployed.
- Why this job: Shape the future of AI in banking and make a real impact on financial services.
- Qualifications: 2+ years in AI or data engineering, strong Python and SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
A leading international bank is looking to appoint an AI Engineer to help deliver secure, governed and production‑ready AI, data and automation solutions across its front office, operations, risk and control functions.
This is a broad, hands‑on engineering role covering the full AI solution lifecycle, from data preparation and prototyping through to deployment, monitoring, governance and operational handover.
You will work within the bank’s Technology function and alongside its emerging AI Centre of Excellence, helping turn business ideas and early‑stage prototypes into practical, scalable and controlled production solutions.
Key responsibilities
- Design, build and maintain data pipelines and curated datasets supporting AI, analytics, reporting and automation use cases.
- Develop AI‑enabled solutions using generative AI, retrieval‑augmented generation, predictive analytics, workflow automation and agentic AI.
- Build secure integrations between internal systems, databases, APIs, document repositories, market data providers and approved AI platforms.
- Work with business stakeholders, Technology, Risk and Compliance to identify and deliver high‑value AI use cases.
- Help move AI prototypes into governed, maintainable and production‑ready environments.
- Build dashboards and management information using Power BI or similar tools.
- Support model governance, including testing, documentation, monitoring, approval evidence, data quality and human‑in‑the‑loop controls.
- Apply appropriate development, source control, testing, release management and support handover practices.
- Produce reusable technical documentation, runbooks and engineering patterns.
Experience required
- At least two years’ experience in AI engineering, data engineering, analytics engineering, software engineering, BI development or automation.
- Strong Python and SQL skills.
- Experience building data pipelines, APIs, automation scripts or analytical datasets.
- Experience with Snowflake or a comparable cloud data platform.
- Practical experience using Power BI, DAX, Power Query or similar reporting tools.
- Hands‑on exposure to AI and machine learning technologies, which may include:
- LLM APIs
- Retrieval‑augmented generation
- Agentic workflow frameworks
- Python machine learning libraries
- Model testing and evaluation
- Understanding of the full solution lifecycle, including development, testing, deployment, monitoring and production support.
- Experience using Git Hub or an equivalent source control platform.
- Strong communication skills and the ability to translate business requirements into practical technical solutions.
Experience within banking, asset management, financial services or another regulated environment would be advantageous, as would an understanding of responsible AI, model governance, information security and data privacy.
The opportunity
This is an opportunity to join a growing AI capability at an early stage and help shape how AI solutions are designed, governed and deployed across an international banking organisation.
The role would suit an AI Engineer, Data Engineer or Analytics Engineer with strong Python and data engineering fundamentals who is looking to build practical, production‑focused AI solutions within a regulated environment.
#J-18808-Ljbffr
AI Engineer - Banking in London employer: Rothstein Recruitment
Rothstein Recruitment is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, with ample opportunities for growth within the investment sector, alongside a supportive culture that values client relationships and strategic thinking. Joining our team means being part of a prestigious firm that prioritises excellence and rewards dedication in managing UHNW client portfolios.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Banking in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Rothstein Recruitment. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace AI Engineer - Banking in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Rothstein Recruitment.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Rothstein Recruitment's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Rothstein Recruitment
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Rothstein Recruitment.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Rothstein Recruitment will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Rothstein Recruitment employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
