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- Tasks: Create AI-powered prototypes and systems to revolutionise content creation and distribution.
- Company: Global media institution at the forefront of digital content and AI innovation.
- Benefits: Competitive salary, flexible work options, and access to cutting-edge AI tools.
- Other info: Be part of a dynamic environment with opportunities for growth and impact.
- Why this job: Join a pioneering team and shape the future of media with AI technology.
- Qualifications: Experience in TypeScript, Node.js, and a passion for AI/ML development.
The predicted salary is between 60000 - 80000 £ per year.
We are working with a global media and digital content institution, delivering news, visual licensing, and sports analytics to audiences worldwide. They are launching a new AI Enablement team to transform how our organization creates, curates, and distributes content.
This is a founding role where you will define what AI-native engineering means for our business. Your work will directly empower journalists, enhance content discovery, and shape our digital transformation on a massive scale.
- Build rapid, AI-powered prototypes and production systems using TypeScript, Node.js, and AWS.
- Leverage agentic frameworks and advanced AI models to solve complex business challenges.
- Design accessible APIs and integration patterns to help other engineering teams utilize AI capabilities.
- Establish lightweight, ethical standards and guardrails for responsible AI deployment.
- Create reusable technical components to accelerate future AI implementations across the business.
- Champion AI-native engineering practices, elevating team capability through demonstration and visible excellence.
Advanced engineering capability in TypeScript, Node.js, and modern AWS cloud environments.
Fluency in AI-native development, including prompt engineering, context management, and building agentic systems.
Practical understanding of ML/AI fundamentals, such as RAG architectures, embeddings, and fine-tuning.
Previous experience in media, content licensing, or data-intensive domains.
Familiarity with observability tools for debugging complex, multi-component AI systems.
Active participation in the open-source AI community or a background in ML engineering.
Shape the technical direction of a brand new, highly visible function from day one.
Continuous access to the latest AI platforms, tools, and research releases.
Build sophisticated tools that transform how global news and sports media operate.
Software Engineer - AI/ML in London employer: numi
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - AI/ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those working in media and digital content. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI-powered prototypes or any projects using TypeScript and Node.js. This is your chance to demonstrate your engineering prowess and how you can contribute to transforming content creation.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI-native development and ML fundamentals. Be ready to discuss how you would tackle real-world challenges in the media space using your technical skills – they’ll want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about finding the right fit for our new AI Enablement team, and applying directly helps us see your enthusiasm. Plus, it’s a great way to get noticed early in the process!
We think you need these skills to ace Software Engineer - AI/ML in London
Some tips for your application 🫡
Show Your Passion for AI/ML: When writing your application, let your enthusiasm for AI and machine learning shine through. Share any personal projects or experiences that highlight your skills in these areas, as we love to see candidates who are genuinely excited about the technology.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the specific requirements of the Software Engineer role. Highlight your experience with TypeScript, Node.js, and AWS, and don’t forget to mention any relevant projects that demonstrate your ability to build AI-powered systems.
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 qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply directly through our website. This ensures that your application goes straight to the right team and helps us keep track of all applicants efficiently. Plus, it’s super easy to do!
How to prepare for a job interview at numi
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, Node.js, and AWS. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects. Being able to demonstrate your technical prowess will show that you're the right fit for this AI-native engineering role.
✨Showcase Your AI Knowledge
Familiarise yourself with AI-native development concepts like prompt engineering and RAG architectures. Be prepared to discuss how you've applied ML/AI fundamentals in real-world scenarios. This will highlight your fluency in the field and your ability to contribute to the new AI Enablement team.
✨Prepare for Problem-Solving Questions
Expect to tackle complex business challenges during the interview. Practice articulating your thought process when solving problems, especially those related to AI and content distribution. This will demonstrate your critical thinking skills and your ability to innovate within the media landscape.
✨Engage with the Open-Source Community
If you have experience in the open-source AI community, be sure to mention it! Discuss any contributions you've made or projects you've been involved in. This shows your passion for AI and your commitment to staying updated with the latest trends and tools in the industry.