At a Glance
- Tasks: Join us in building innovative ML solutions that make a real impact for our customers.
- Company: Be part of Contentful, a leading digital experience platform transforming how businesses engage with content.
- Benefits: Enjoy stock options, generous paid time off, and a wellbeing stipend to support your health.
- Other info: Join a diverse team from over 70 nations, with opportunities for growth and learning.
- Why this job: Push the boundaries of AI and machine learning while working in a dynamic, collaborative environment.
- Qualifications: Experience in machine learning, cloud solutions, and a passion for customer-driven product development.
The predicted salary is between 63000 - 77000 £ per year.
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.
- 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.
- Develop software that scales to meet the demands of high-load customer workloads.
- Drive the ML education in the team and establish a high standard of quality & ownership.
- Proven experience as a technical leader in a product software development environment.
- Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs.
- Solid understanding of machine learning principles.
- Background includes machine learning and AI implementation.
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. 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. 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.
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.
If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.
Senior Machine Learning Engineer - AI 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer - AI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Contentful or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Contentful.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Contentful.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Contentful that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Machine Learning Engineer - AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Contentful.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Contentful and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Contentful
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Contentful uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
