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- Tasks: Design and deliver AI capabilities for financial market analytics using natural language.
- Company: Join TradingHub, a leader in intelligent trade surveillance software.
- Benefits: Enjoy competitive salary, hybrid work, private medical insurance, and generous leave policies.
- Other info: Be part of a diverse team that values individuality and promotes career growth.
- Why this job: Make a real impact in finance with cutting-edge AI technology and innovative solutions.
- Qualifications: Experience in full stack software engineering and familiarity with LLMs and AI agents.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Compensation: Competitive (Financial Services) We offer a competitive salary aligned with industry standards in the financial services sector.
About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross‑product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.
The Role We are hiring a hands‑on AI Engineer to own the design and delivery of a customer‑facing compiler and interface that allows users to perform financial markets analytics via natural language. Working as part of our Web team, the ideal candidate will hold working knowledge of LLMs and AI agents and some level of familiarity with web frameworks.
Responsibilities
- Own the end‑to‑end design and implementation of a customer‑facing AI capability integrated into our trade surveillance platforms
- Build and evolve a multi‑layered AI agent capable of interpreting natural‑language user queries and consulting documentation to generate appropriate responses
- Ensure generated results are presented clearly to users as well as the reasoning behind decisions
- Integrate AWS Bedrock with our web backend to support LLM‑driven reasoning and workflows
- Develop frontend components to surface AI outputs, user prompts, and confirmation flows for AI‑initiated actions
- Work closely with cross‑functional stakeholders e.g. product to ensure solutions are robust, explainable, secure and scalable
Requirements
- Full stack software engineering experience with a strong track record of building and owning complex, production systems
- Demonstrated experience designing and delivering AI‑powered features that solve real customer problems
- Deep familiarity with LLMs, AI agents and conversational systems, including their practical limitations
- Solid theoretical understanding of machine learning fundamentals, including neural networks and transformer architectures
- Experience with cloud‑based AI platforms such as AWS Bedrock is desirable
- Experience using AI‑assisted development tools (e.g. Copilot or similar) to improve engineering productivity
Benefits
Life at TradingHub is a rewarding journey within a fast‑growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self.
Employee Benefits
- Annual discretionary performance bonus (permanent employees only)
- Hybrid working policy
- Office lunches twice a week
- Private medical insurance + dental cover
- Extended parental leave (up to 6 months of fully paid maternity leave)
- 25 days annual leave + bank holidays
- Enhanced company pension plan
- 5 days study leave towards professional qualifications
- Salary sacrifice schemes
- Death in service coverage
Don’t tick every single requirement? Research shows that candidates from under‑represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.
AI Engineer in London employer: TradingHub
Contact Detail:
TradingHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 involving LLMs and web frameworks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at TradingHub.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs, AI agents, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team at TradingHub. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any AI-powered features or projects, make sure to showcase them in your application. We’re keen to see real examples of your work and how you've tackled challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at TradingHub
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and AI agents. Be ready to discuss how you've used these technologies in past projects, especially in relation to financial markets analytics. This will show that you understand the role and can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems with AI-powered features. Think about specific challenges you've faced and how your solutions made a real impact. This will demonstrate your hands-on experience and ability to deliver results.
✨Familiarise Yourself with AWS Bedrock
Since the role involves integrating AWS Bedrock, it’s crucial to have a solid understanding of this platform. If you’ve worked with cloud-based AI platforms before, be ready to share your experiences and how they relate to the job at TradingHub.
✨Communicate Clearly
As you'll be working closely with cross-functional teams, practice explaining complex technical concepts in simple terms. Being able to articulate your ideas clearly will show that you can collaborate effectively and ensure everyone is on the same page.