Machine Learning Customer Engineer
Machine Learning Customer Engineer

Machine Learning Customer Engineer

Full-Time 60000 - 80000 ÂŁ / year (est.) Home office (partial)
Bloomreach

At a Glance

  • Tasks: Join us to revolutionise customer experiences with AI-driven solutions and hands-on technical customisation.
  • Company: Bloomreach, a leader in personalisation technology, fostering innovation and creativity.
  • Benefits: Flexible working hours, professional development budget, and wellness programmes.
  • Other info: Dynamic culture with opportunities for growth and international travel.
  • Why this job: Be at the forefront of AI technology, making a real impact on global brands.
  • Qualifications: Experience in Search Engineering or Machine Learning, with strong communication skills.

The predicted salary is between 60000 - 80000 ÂŁ 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 Machine Learning Customer Engineer 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 customization.
  • Escalation: Identifying major product changes for Core Engineering cycles.

Key Responsibilities

  • Account Ownership: Maintain ongoing technical ownership of 2–3 high-value enterprise accounts; this is not a rotational assignment.
  • Technical Implementation: Build and deploy conversational agents, custom extensions, and algorithmic tweaks to solve specific business problems.
  • Data-Driven Validation: Use A/B testing and deep data analysis to validate the impact of technical changes on customer KPIs.
  • On-Site Collaboration: Travel to customer sites (EMEA/AMER) to lead technical workshops and deeply understand their architectural constraints.
  • Feedback Loop: Act as a critical bridge to R&D, identifying recurring customization needs that should be productized in the core platform.

Candidate Profile

We are looking for a unique blend of high-level engineering talent and strategic business acumen:

  • The Mix: 50% Programmer ¡ 30% Product Acumen ¡ 20% Soft Skills & Problem Solving.
  • Search Specialist: Deep knowledge of search internals, including ranking models, catalog configuration, relevance, recall, and personalization.
  • Technical Generalist: Fluent enough in code to make minor to moderate changes to support testing and custom extensions.
  • Consultative Mindset: Ability to translate nebulous business goals into specific technical solutions and communicate those to stakeholders.

Requirements

  • Experience: Proven track record in Search Engineering, Machine Learning Engineering, or high-end Technical Delivery.
  • Product Knowledge: Deep understanding of Discovery platforms and how ranking/algorithms impact e-commerce performance.
  • Soft Skills: Exceptional communication skills with the ability to navigate complex enterprise environments.
  • Mobility: Willingness to travel internationally to engage with customers in their own environments.

More things you'll like about Bloomreach:

  • Culture: A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one.
  • We have defined our 5 values and the 10 underlying key behaviours that we strongly believe in. We can only succeed if everyone lives these behaviours day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication.
  • We believe in flexible working hours to accommodate your working style.
  • We work virtual-first with several Bloomreach Hubs available across three continents.
  • We organize company events to experience the global spirit of the company and get excited about what's ahead.
  • We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer.
  • The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5.

Personal Development:

  • We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company.
  • We are continuously developing & updating competency maps for select functions.
  • Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.
  • Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins.
  • Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.).

Well-being:

  • The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.
  • Subscription to Calm - sleep and meditation app.
  • We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones.
  • We facilitate sports, yoga, and meditation opportunities for each other.
  • Extended parental leave up to 26 calendar weeks for Primary Caregivers.

Compensation:

  • Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.
  • Everyone gets to participate in the company's success through the company performance bonus.
  • We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts.
  • We reward & celebrate work anniversaries -- Bloomversaries.

Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!

Machine Learning Customer Engineer employer: Bloomreach

Bloomreach is an exceptional employer that fosters a culture of freedom and trust, allowing employees to thrive in a flexible, virtual-first environment. With a strong emphasis on personal development, employees benefit from comprehensive training programs, generous professional education budgets, and opportunities for meaningful engagement through volunteering. The company's commitment to well-being, including additional time off and wellness resources, combined with a stellar Glassdoor rating, makes Bloomreach a truly rewarding place to work.
Bloomreach

Contact Detail:

Bloomreach Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Customer Engineer

✨Tip Number 1

Get to know the company inside out! Research Bloomreach's products, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in what they do.

✨Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral — which is always a bonus!

✨Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding machine learning concepts. Practice explaining complex ideas simply; it’s all about showing your consultative mindset!

✨Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression and keep you top of mind. Plus, it shows your enthusiasm for the role!

We think you need these skills to ace Machine Learning Customer Engineer

Machine Learning Engineering
Search Engineering
Technical Customisation
Conversational Agents Development
Algorithm Configuration
Data Analysis
A/B Testing
Technical Communication
Problem Solving
Consultative Mindset
E-commerce Performance Understanding
Stakeholder Engagement
International Travel Willingness
Programming Skills

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in search engineering and machine learning. We want to see how your skills align with the role of a Machine Learning Customer Engineer, so don’t hold back!

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex technical challenges in the past. We love seeing candidates who can bridge the gap between technical and business needs, so let us know how you’ve done that!

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out. This will help us understand your fit for the role quickly!

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Bloomreach

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of search internals, ranking models, and algorithm configurations. Bloomreach is looking for someone who can translate complex business requirements into technical solutions, so be ready to discuss how your programming skills can directly impact their platform.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled challenging technical issues in the past. Think about specific instances where you’ve used data-driven validation or A/B testing to improve performance. This will demonstrate your consultative mindset and ability to navigate complex enterprise environments.

✨Communicate Clearly and Confidently

Exceptional communication skills are a must for this role. Practice explaining technical concepts in simple terms, as you'll need to bridge the gap between engineering and customer needs. Consider doing mock interviews with friends to refine your delivery and ensure you come across as approachable and knowledgeable.

✨Be Ready to Travel and Collaborate

Since the role involves on-site collaboration with customers, be prepared to discuss your willingness to travel and how you would approach leading technical workshops. Highlight any previous experiences where you’ve successfully engaged with clients or stakeholders in person, as this will show your commitment to understanding their architectural constraints.

Machine Learning Customer Engineer
Bloomreach

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