At a Glance
- Tasks: Build AI-powered applications to transform business operations and improve workflows.
- Company: Dynamic tech company focused on responsible AI adoption.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a fast-paced team with international exposure and career advancement opportunities.
- Why this job: Make a real impact by delivering practical AI solutions that enhance team efficiency.
- Qualifications: Experience in Python, AI engineering, and collaboration with non-technical stakeholders.
The predicted salary is between 60000 - 80000 £ per year.
We are building AI-powered internal applications on our global Databricks platform to transform how teams across Finance, HR, Sales, and Marketing work. We’re looking for engineers who thrive on solving operational challenges with AI, automation, and lightweight applications — and who enjoy working closely with stakeholders to deliver solutions that people actually use.
This is not a role for engineers who build in isolation. You’ll combine technical expertise with business empathy, turning workflows and pain points into practical AI-powered tools that accelerate decision-making and simplify daily work.
We’re looking for engineers who are not only deeply technical in AI but also excellent communicators and stakeholder partners.
What You’ll Do- Workflow analysis: Partner with business teams to understand inefficiencies and opportunities for automation.
- Application development: Build lightweight internal apps using Python-native tools (Streamlit, Gradio, FastAPI, Databricks Apps).
- AI agent orchestration: Guide AI coding assistants (Copilot, Claude Code) to generate and refine production-ready code.
- Databricks integration: Use Delta tables, Unity Catalog, Lakehouse, and Vector Search as building blocks.
- Automation: Improve workflows with intelligent automation platforms like Microsoft Power Automate.
- Observability: Implement monitoring and telemetry using Grafana and industry-standard practices.
- Solution ownership: Deliver secure, scalable, and adopted applications — not just prototypes.
- Collaboration: Work with Platform, Data, and Reliability teams to align with governance and engineering standards.
- You have AI-native engineering practice — daily use of AI coding agents, orchestration of LLM workflows, and production-ready delivery.
- You bring software engineering experience with Python and modern app frameworks.
- You are comfortable with Databricks proficiency or equivalent cloud-native platforms.
- You demonstrate functional empathy — working closely with non-technical stakeholders to translate workflows into usable solutions.
- You take solution ownership — ensuring adoption, security, observability, and scalability.
- You thrive in fast-paced, pragmatic environments, delivering value quickly while maintaining quality.
- Shape how AI is adopted responsibly and practically across a global organization.
- Work at the intersection of business operations, application engineering, and AI enablement.
- Deliver solutions that make a tangible difference in how teams operate every day.
- Be part of a growing AI-focused engineering team with international exposure.
Artificial Intelligence Engineer in London employer: Lorien
Join a forward-thinking company that prioritises innovation and collaboration, where as an Artificial Intelligence Engineer in London, you'll have the opportunity to shape AI solutions that enhance business operations across various departments. Our hybrid work culture fosters flexibility and teamwork, while our commitment to employee growth ensures you will continuously develop your skills in a dynamic environment. With access to cutting-edge technology and a focus on delivering impactful solutions, you'll find meaningful and rewarding employment here.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in 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 Lorien 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 Lorien.
✨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 Lorien.
✨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 Lorien 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 Artificial Intelligence Engineer in 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 Lorien.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lorien 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 Lorien
✨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 Lorien 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.
