Senior Software Engineer - Machine Learning (f/m/d) in London

Senior Software Engineer - Machine Learning (f/m/d) in London

London Full-Time 60000 - 80000 € / year (est.) Home office (partial)
the Opportunity

At a Glance

  • Tasks: Join the AI revolution by building impactful ML solutions for real-world applications.
  • Company: Contentful, a leading digital experience platform with a diverse and inclusive culture.
  • Benefits: Enjoy stock options, generous paid time off, and an annual education budget.
  • Other info: Collaborate with a global team and enjoy excellent career growth opportunities.
  • Why this job: Make a difference in the tech world while working with cutting-edge machine learning technologies.
  • Qualifications: Proven experience in ML model development and strong problem-solving skills.

The predicted salary is between 60000 - 80000 € 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 Senior Software Engineer - Machine Learning (f/m/d) 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.

Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have.

Senior Software Engineer - Machine Learning (f/m/d) in London employer: the Opportunity

Contentful is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for Senior Software Engineers passionate about machine learning. With generous benefits such as stock options, a comprehensive education budget, and a strong emphasis on work-life balance, employees are empowered to grow both personally and professionally. The collaborative environment encourages continuous learning through various events and workshops, ensuring that every team member can thrive in their career while contributing to cutting-edge AI solutions.

the Opportunity

Contact Detail:

the Opportunity Recruiting Team

StudySmarter Expert Advice🤫

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

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 ML projects, contributions, or any cool stuff you've built. This is your chance to demonstrate your expertise and passion for machine learning.

Tip Number 3

Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key when discussing complex topics with potential employers.

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 our awesome team at Contentful!

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

Machine Learning
Generative AI
Model Development
Natural Language Processing (NLP)
Cloud Services (AWS, Azure, GCP)
Distributed Systems
Container Frameworks (Docker, Kubernetes)

Some tips for your application 🫡

Show Your Passion for ML:When writing your application, let your enthusiasm for machine learning shine through! Share specific examples of projects or experiences that highlight your skills and how they align with the role at Contentful.

Tailor Your CV:Make sure to customise your CV to reflect the key skills and experiences mentioned in the job description. Highlight your experience with LLM-based models and any relevant cloud services you've worked with.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Discuss your understanding of current generative AI trends and how you can contribute to our mission of building impactful ML solutions.

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. This way, we can ensure your application gets the attention it deserves!

How to prepare for a job interview at the Opportunity

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 familiar with the theory but can also translate it into practical solutions.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you 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 Their Tech Stack

Research the tools and technologies mentioned in the job description, like AWS, Azure, GCP, Docker, and Kubernetes. Being able to discuss your experience with these platforms will show that you're ready to hit the ground running and can integrate ML cloud solutions effectively.

Prepare for Design Reviews

Since leading design reviews is part of the role, think about how you would approach this. Be ready to discuss your design philosophy and how you collaborate with peers and stakeholders. This will highlight your leadership skills and your ability to make informed technology decisions.