AI Engineer in London

AI Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
bloom

At a Glance

  • Tasks: Build innovative AI workflows and push the boundaries of machine learning.
  • Company: Join a fast-growing AI company with a proven founding team.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with exceptional career advancement potential.
  • Why this job: Shape the future of AI by building groundbreaking infrastructure for intelligent agents.
  • Qualifications: Experience in AI engineering and a passion for cutting-edge technology.

The predicted salary is between 60000 - 80000 £ per year.

We're hiring Engineers at a range of seniority, from Senior, Staff to Principal Level. Bloom have partnered with one of the fastest-growing AI companies in Europe to help them hire their next phase of AI Engineers and Software Engineers - a rare opportunity to join a team at this stage, with super strong traction and building at incredible pace. Roles like this don’t come around often.

This business is led and founded by a proven founding team with a super impressive and strong track record of building, scaling, and successfully exiting tech companies - with a very strong technical pedigree. They’re building the infrastructure for the next generation of AI - where agents don’t just learn from static data, but through active experience. Think interactive, resettable digital worlds where AI can explore, act, and learn - from simple websites to complex applications. This is your chance to help build the digital training ground for foundational AI Agents.

What you’ll be working on:

  • Build agentic, human-in-the-loop workflows - researching, prototyping, and shipping AI-driven processes that generate high-quality data, tasks, and environments for customers.
  • Push state-of-the-art performance - define success metrics, run rigorous evaluations, dig into data, and continually improve system reliability and output quality.
  • Work at the frontier of AI - apply and innovate on cutting-edge techniques in agentic pipelines, context engineering, and model tuning/post-training to maximise system capability.
  • Productionise research - partner with software engineering to turn new methods into scalable, observable, high-impact production features.

If you’re excited by the idea of building the simulation layer for intelligent agents, this is one of those rare moments where you can shape an entirely new category of AI infrastructure.

AI Engineer in London employer: bloom

Join a pioneering AI company in London or Paris, where innovation meets opportunity. With a strong focus on employee growth and a collaborative work culture, you'll be part of a team that values creativity and technical excellence. Enjoy unique benefits such as flexible working arrangements and the chance to work on groundbreaking projects that shape the future of AI.

bloom

Contact Details:

bloom Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI 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 bloom 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 bloom.

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 bloom.

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 bloom 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 in London

Reinforcement Learning (RL)
AI-driven Processes
Data Generation
Performance Evaluation
System Reliability Improvement
Context Engineering
Model Tuning

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 bloom.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at bloom 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 bloom

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 bloom 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.