At a Glance
- Tasks: Transform business needs into practical AI tools and workflows in a dynamic trading environment.
- Company: Join a global leader in Financial Markets Trading technology.
- Benefits: Enjoy a competitive salary, bonuses, hybrid work, and growth opportunities.
- Other info: Collaborate with diverse teams and shape the future of enterprise AI.
- Why this job: Make a real impact by implementing cutting-edge AI solutions in finance.
- Qualifications: Experience in applied AI, strong Python and SQL skills, and a passion for innovation.
The predicted salary is between 72000 - 88000 £ per year.
- AI Engineer - Financial Markets Trading Technology - London
- AI Engineer - Financial Markets Trading Technology - London
- Hybrid | Competitive Base Salary & bonus
A global Financial Markets Trading organisation is looking for an Applied AI Engineer to help its technology and commercial teams adopt generative AI safely and effectively.
This is a practical, hands-on role focused on turning business requirements into reliable AI tools and workflows.
You will work with stakeholders across trading, analytics, operations and technology to identify where AI can reduce manual work, improve the quality of analysis and support better decision-making.
Rather than concentrating solely on model development, the role covers the wider implementation of enterprise AI.
This includes configuring AI assistants and agents, developing knowledge bases, designing context and prompts, improving document retrieval, evaluating outputs and helping users adopt new tools successfully.
The Role
- Work with technical and business stakeholders to identify suitable use cases for generative AI.
- Configure AI assistants, agents, knowledge bases, model settings and tool integrations.
- Design system instructions, prompt templates, examples, reference materials, guardrails and structured output formats.
- Build and improve retrieval-augmented generation and document intelligence workflows.
- Support document ingestion, metadata design, information retrieval, structured data extraction and output validation.
- Test AI-generated outputs for accuracy, completeness, relevance, usability and grounding in approved information sources.
- Create reusable templates, playbooks, demonstrations and supporting documentation.
- Translate business requirements into practical technical solutions.
- Explain the capabilities, limitations and risks of AI tools to both technical and non-technical audiences.
- Keep up to date with developments in enterprise AI, AI agents, context engineering, retrieval methods and evaluation techniques.
You should have
- Experience within applied AI, data analytics, business analysis, automation, technology enablement, systems configuration or a related area.
- Practical experience using generative AI to support analysis, research, documentation, coding, automation or business productivity.
- A good understanding of large language model concepts, including prompting, context windows, retrieval, structured outputs, model selection and output evaluation.
- Familiarity with applied AI techniques such as retrieval-augmented generation, embeddings, vector search, document extraction, tool calling, agent-based workflows and human review.
- Strong Python and SQL skills.
- Experience with relevant development tools and libraries, which could include Lang Chain, Lang Graph, Pydantic, Num Py and Fast API.
- The ability to work with APIs, JSON, version control and lightweight automation or prototyping tools.
- The ability to translate operational requirements into clear technical specifications.
- An understanding of responsible AI practices, including data sensitivity, access controls, auditability and escalation of higher-risk use cases.
- Strong attention to detail and the ability to work independently within a fast-moving environment.
This is an opportunity to work on practical AI adoption within a complex, commercially focused environment.
You will have direct exposure to business users and technical teams, helping shape how enterprise AI is introduced, governed and used across the organisation.
The position would suit someone who combines strong technical foundations with the communication skills needed to turn emerging AI capabilities into useful and repeatable business solutions.
Vertus Partners specialises in Trading Technology recruitment across Financial Markets and is acting as a recruitment agency in relation to this vacancy.
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AI Engineer - Financial Markets Trading Technology - London employer: Vertus Partners
Join a leading Financial Services organisation that prioritises innovation and employee development in the heart of Bristol. With a strong focus on hybrid working, you will benefit from a collaborative work culture that encourages professional growth and offers opportunities to engage in cutting-edge data transformation initiatives. Enjoy competitive compensation and the chance to make a meaningful impact in a dynamic environment dedicated to responsible BI governance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Markets Trading Technology - London
✨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 Vertus Partners 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 Vertus Partners.
✨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 Vertus Partners.
✨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 Vertus Partners 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 - Financial Markets Trading Technology - London
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 Vertus Partners.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Vertus Partners 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 Vertus Partners
✨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 Vertus Partners 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.
