Senior Machine Learning Engineer (f/m/d)
Senior Machine Learning Engineer (f/m/d)

Senior Machine Learning Engineer (f/m/d)

Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us in building impactful ML solutions for thousands of customers.
  • Company: Contentful, a leading digital experience platform driving the AI revolution.
  • Benefits: Stock options, generous paid time off, and personal education budget.
  • Why this job: Be at the forefront of AI innovation and make a real difference.
  • Qualifications: Experience in ML, cloud services, and a passion for problem-solving.
  • Other info: Inclusive culture with opportunities for career growth and well-being support.

The predicted salary is between 43200 - 72000 ÂŁ per year.

London, England, United Kingdom

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers. At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect?

  • Measure and ensure the high-quality output of ML workloads for our enterprise customers.
  • Design, build, and measure production software in the Contentful Platform.
  • Conduct focused research and testing using tools like Jupyter Notebook.
  • Optimize generative AI products for accuracy, speed, and scalability.
  • Integrate ML cloud solutions and adapt them to our large-scale use cases.
  • Integrate prompt engineering and fine‑tuning for customer use cases.
  • Develop software that scales to meet the demands of high‑load customer workloads.
  • Lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Drive the ML education in the team and establish a high standard of quality & ownership.

What you need to be successful?

  • Proven experience as a technical leader in a product software development environment.
  • Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real‑world applications with production workloads.
  • Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs.
  • Ability to organize and prioritize competing workloads.
  • Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP).
  • Solid understanding of machine learning principles.
  • Experience with container frameworks such as Docker or Kubernetes.
  • Constructive Problem‑Solving: As a natural problem‑solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
  • Up‑to‑Date on The Latest Updates on LLM Development & Research: From RAGs to Open‑Source models over Agent Architectures – you have an inherent drive to stay up‑to‑date on what is the latest and greatest.

Preferred:

  • Background includes machine learning and AI implementation.
  • You can translate a research paper into a PoC if the code does not exist.

What’s in it for you?

  • Join an ambitious tech company reshaping the way people build digital experiences.
  • Full‑time employees receive Stock Options for the opportunity to share in the success of our company.
  • Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
  • We value Work‑Life balance and You Time!
  • A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days.
  • Time off to care for and focus on your growing family.
  • Use your personal annual education budget to improve your skills and grow in your career.
  • Enjoy a full range of virtual and in‑person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties.
  • An annual wellbeing stipend to care for your physical, financial, or emotional health.
  • A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
  • New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Who are we?

Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real‑time experimentation, powering next‑generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. Everyone is welcome here!

“Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.

Senior Machine Learning Engineer (f/m/d) employer: Contentful GmbH

Contentful is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for a Senior Machine Learning Engineer to thrive. With a strong emphasis on work-life balance, generous paid time off, and a commitment to employee growth through education budgets and wellbeing stipends, Contentful empowers its team members to push the boundaries of AI technology while enjoying a supportive and dynamic work environment in the vibrant city of London.
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Contact Detail:

Contentful GmbH Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Machine Learning Engineer (f/m/d)

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that highlight your experience with LLMs and generative AI. This will give potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Contentful.

We think you need these skills to ace Senior Machine Learning Engineer (f/m/d)

Machine Learning
Generative AI
Model Development
Natural Language Processing (NLP)
Cloud Services (AWS, Azure, GCP)
Distributed Systems
Container Frameworks (Docker, Kubernetes)
Problem-Solving
Research and Testing (Jupyter Notebook)
Prompt Engineering
Software Development
Scalability Optimization
Technical Leadership
Customer Needs Analysis

Some tips for your application 🫡

Show Your Passion for ML: When writing your application, let us see your enthusiasm for machine learning! Share specific projects or experiences that highlight your skills and how they align with the latest trends in generative AI.

Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant experience in model development and any technical leadership roles you've held. We want to see how your background fits into our mission at Contentful!

Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your achievements and skills. We appreciate a well-structured application!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Contentful GmbH

✨Know Your ML Stuff

Make sure you brush up on the latest trends in machine learning, especially around generative AI. Be ready to discuss your experience with LLM-based models and how you've applied them in real-world scenarios. This will show that you're not just knowledgeable but also passionate about the field.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you've faced in model development or deployment and how you overcame them. This will demonstrate your constructive problem-solving abilities and your capacity to drive product growth.

✨Familiarise Yourself with Tools

Get comfortable with tools like Jupyter Notebook, Docker, and Kubernetes. Be ready to discuss how you've used these in past projects, particularly in optimising ML workloads or integrating cloud solutions. This practical knowledge can set you apart from other candidates.

✨Understand Customer Needs

Be prepared to talk about how you've worked backwards from customer needs to deliver ML-based features. Think of specific examples where your work directly impacted customer satisfaction or efficiency. This shows that you can align technical skills with business goals, which is crucial for the role.

Senior Machine Learning Engineer (f/m/d)
Contentful GmbH
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