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.
- Other info: Inclusive culture with opportunities for career growth and well-being support.
- 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.
The predicted salary is between 48000 - 84000 £ per year.
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! 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 disability, 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) in London employer: Contentful
Contentful is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Solution Engineers to thrive. With opportunities for professional growth and the chance to engage with diverse teams across the globe, employees can expect a rewarding experience that values their contributions. Additionally, the flexibility of remote work combined with the potential for travel allows for a dynamic work-life balance, making Contentful a standout choice for those seeking meaningful employment.
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We think this is how you could land Senior Machine Learning Engineer (f/m/d) in London
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We think you need these skills to ace Senior Machine Learning Engineer (f/m/d) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Contentful. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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