At a Glance
- Tasks: Create AI-driven analytics for trading teams using Databricks and modern LLM workflows.
- Company: Join a leading firm in financial technology with a focus on innovation.
- Benefits: Competitive daily rate, flexible working hours, and opportunities for professional growth.
- Other info: Hybrid working model with a dynamic team and exciting projects.
- Why this job: Make a real impact in trading analytics while working with cutting-edge AI technologies.
- Qualifications: Experience with Databricks, Spark, and strong data engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
Remote engineer in London employer: Airswift
As a leading employer in the financial technology sector, we offer AI Engineers the opportunity to work on cutting-edge analytics projects that directly impact trading strategies. Our hybrid working model promotes a flexible work-life balance, while our commitment to employee growth ensures access to continuous learning and development opportunities. Join us in London, where innovation meets collaboration, and be part of a dynamic team that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote 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 can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and LLMs. We love seeing real-world applications of your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to data engineering and AI. Don’t forget to have a few questions ready for them too!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team, so don’t hesitate to put yourself out there!
We think you need these skills to ace Remote 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 Databricks, Spark, and LLMs, and don’t forget to showcase any relevant projects that demonstrate your skills in building AI-driven analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific experiences that relate to the key responsibilities, like designing analytics for traders or working with large datasets.
Show Off Your Communication Skills:Since excellent communication is a must-have, make sure your application reflects this. Use clear and concise language, and if possible, include examples of how you've effectively engaged with stakeholders in past roles.
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 get all the updates directly from us. Plus, it shows you’re keen on joining the StudySmarter team!
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, and be ready to discuss how you've used these tools in past projects. The more specific examples you can provide, the better!
✨Showcase Your Analytical Skills
Prepare to talk about your experience with statistical and econometric analysis. Think of a few scenarios where you’ve turned complex data into actionable insights for traders. This will demonstrate your ability to handle the responsibilities of the role.
✨Communicate Clearly
Since this role involves working closely with traders and analysts, practice explaining technical concepts in simple terms. Being able to bridge the gap between tech and trading will set you apart from other candidates.
✨Prepare Questions for Them
Have a few thoughtful questions ready about their current projects or challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
