At a Glance
- Tasks: Customise AI solutions for top-tier clients and enhance their customer experience.
- Company: Bloomreach, a leader in AI-driven personalisation technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration.
- Why this job: Join a revolutionary team shaping the future of customer engagement with AI.
- Qualifications: Experience in software engineering and a passion for customer-centric solutions.
The predicted salary is between 60000 - 80000 € per year.
Bloomreach is building the world’s premier agentic platform for personalization. We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We’re taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We’re designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer‑first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.
Purpose of the Role
Enterprise Discovery customers increasingly require hands‑on customisation beyond standard product configuration. The Forward Deployed Engineer (FDE) is a dedicated, customer‑embedded engineering role designed to own the full spectrum of technical customisation for our top‑tier accounts. You will bridge the gap between post‑sales support and core product engineering, serving as a technical “special forces” operative who translates complex business requirements into tangible code and system optimisations.
The Customisation Spectrum
- Education: Platform training, feature evangelism, and root‑cause explanation.
- Configuration: Dashboard, integration, and algorithm configuration changes.
- Surgical Tweaks: Customer‑specific process changes and deep data analysis.
- Custom Code: Conversational agents, platform extensions, and feature customisation.
- Escalation: Identifying major product changes for Core Engineering cycles.
Key Responsibilities
Machine Learning Customer Engineer in London employer: Bloomreach
Bloomreach is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to drive meaningful change in the world of AI and personalization. With a strong focus on professional development, employees have access to continuous learning opportunities and are encouraged to take ownership of their projects, ensuring a rewarding career path. Located in a vibrant tech hub, Bloomreach offers a dynamic work environment where creativity thrives, making it an ideal place for those looking to make a significant impact in their field.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Customer Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Bloomreach. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your machine learning projects. This gives you a chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for the interview like it’s a big game day! Research Bloomreach’s products and think about how your skills can contribute to their mission. Tailor your answers to show you’re the perfect fit.
✨Tip Number 4
Don’t forget to 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 the team.
We think you need these skills to ace Machine Learning Customer Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how excited you are about personalisation and how it can transform customer experiences.
Tailor Your Experience:Make sure to customise your application to highlight relevant experience that aligns with the role. We love seeing how your past work connects to the responsibilities of a Forward Deployed Engineer.
Be Clear and Concise:Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Show us you can communicate complex ideas simply!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Bloomreach
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and Bloomreach's platform. Understand how AI agents work and be ready to discuss how you can contribute to personalisation and customer journeys. The more you know, the more confident you'll feel!
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex technical challenges in the past. Think about specific instances where you translated business requirements into technical solutions. This role is all about customisation, so demonstrating your problem-solving prowess will really impress them.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Bloomreach’s approach to personalisation and the role of the Forward Deployed Engineer. This shows your genuine interest in the company and helps you gauge if it’s the right fit for you.
✨Be Ready for Technical Challenges
Expect some technical questions or even a coding challenge during the interview. Brush up on relevant programming languages and be prepared to demonstrate your coding skills. Practising common algorithms and data structures can give you an edge!
