At a Glance
- Tasks: Create AI-driven analytics for trading teams using Databricks and modern LLM workflows.
- Company: Dynamic trading analytics firm in London with a hybrid working model.
- Benefits: Competitive daily rate, flexible working hours, and opportunities for skill development.
- Other info: Collaborate directly with traders to turn complex questions into actionable insights.
- Why this job: Join a cutting-edge team and shape the future of trading analytics with AI.
- Qualifications: Strong data engineering skills and experience with Databricks and Spark.
The predicted salary is between 60000 - 80000 £ per year.
Duration: Contract
Workload: Full time hours
Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader)
Location: London - hybrid working
We need an AI Engineer with a strong data engineering core to build AI‐powered analytics for front‐office trading teams using Databricks, Spark, and modern LLM workflows.
Key Responsibilities:
- Design and deliver AI‐driven analytics for traders, including seasonality, correlations, regression, forecasting, and scenario modelling.
- Build scalable, reusable data pipelines in Databricks using PySpark, Spark SQL, Delta Lake, and Unity Catalog.
- Perform statistical and econometric analysis on large market and fundamentals time‐series datasets.
- Work directly with traders and analysts to turn ambiguous questions into production‐ready tools and clear insights.
- Implement LLM and agentic workflows (prompt engineering, LangGraph, MCP, tool calling, retrieval, guardrails).
- Productionise solutions with testing, observability, versioning, documentation, and CI/CD.
Must‐Have Skills:
- Hands‐on Databricks and Spark expertise (PySpark, SQL, Delta, Unity Catalog).
- Strong data engineering background: ingestion, modelling, orchestration, performance tuning.
- Solid statistics/econometrics for market time series.
- Experience building and integrating LLM solutions.
- Excellent communication and stakeholder engagement skills.
Nice‐to‐Have:
- Commodity or financial trading background.
- Knowledge of market microstructure, supply/demand fundamentals, or risk.
Artificial Intelligence Engineer in London employer: Airswift
Join a forward-thinking company that values innovation and collaboration, where as an AI Engineer in Trading Analytics, you will have the opportunity to work with cutting-edge technologies like Databricks and LLMs in a dynamic hybrid environment in London. Our culture promotes continuous learning and professional growth, offering you the chance to engage directly with traders and analysts, turning complex challenges into impactful solutions while enjoying competitive daily rates and flexible working arrangements.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and AI space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Spark, and LLMs. We want to see how you’ve tackled real-world problems, so make sure to highlight your best work.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data pipelines and statistical analysis. We recommend practising common interview questions related to AI and trading analytics.
✨Tip Number 4
Apply through our website! It’s the easiest way to get noticed by us. Make sure to tailor your application to highlight your relevant experience with AI-driven analytics and data engineering.
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, Spark, and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in trading analytics and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:When filling out your application, be specific about your technical expertise. Mention your hands-on experience with PySpark, SQL, and any other tools that are relevant to the job. We love seeing concrete examples!
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’s super easy!
How to prepare for a job interview at Airswift
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, Spark, and LLM workflows. Brush up on PySpark and SQL, as you might be asked to demonstrate your knowledge or solve a problem on the spot. Familiarity with Delta Lake and Unity Catalog will also give you an edge.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with statistical and econometric analysis. Be ready to explain how you've tackled complex datasets in the past, especially in trading contexts. Use specific examples to illustrate your problem-solving abilities and how you’ve turned ambiguous questions into actionable insights.
✨Communicate Clearly and Confidently
Since excellent communication is a must-have skill, practice articulating your thoughts clearly. You’ll likely need to engage with traders and analysts, so being able to convey technical concepts in an understandable way is crucial. Consider doing mock interviews to refine your delivery.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their trading analytics processes, team dynamics, or future projects involving AI. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
