The RoleWe’re looking for a Senior Software Engineer who thrives at the intersection of software engineering and applied ML. This role is ideal for engineers who enjoy building real products — not just models — and want to take machine learning systems all the way from data to production. You’ll own the full lifecycle of ML-powered applications: designing data pipelines, building training workflows, integrating models into services, and deploying production-ready features that power delightful user experiences.
You’ll help us test new ideas quickly, by working in lean, build-measure-learn cycles. You’ll develop rapid prototypes, test them on real users, and iterate based on learnings and user-feedback.
No hands-on AI/ML experience, no problem! Do you excel at solving end-to-end software problems but don’t have hands-on experience with AI/ML? Do you have a computer science, statistics or other relevant STEM background? If so we'd love for you to learn the ML part on the job.
You’ll work in London, with 3 days per week from our office and 2 days per week from home.
What You’ll Own- You’ll implement, test, and scale a wide variety of ML and AI capabilities, leveraging both established tools and emerging technologies;
- You’ll own the end-to-end development cycle of ML-powered features, including assessing the impact through means of experimentation
- You’ll collaborate with other cross-functional teams to integrate ML solutions into our products;
- You’ll monitor, evaluate, and improve the performance of models and ML-powered features in production;
- You’ll stay up-to-date with the latest developments in ML and AI, to ensure we’re always operating at the cutting-edge;
Who We’re Looking For- Strong software engineering background with experience in building and maintaining production systems.
- Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar).
- Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring.
- Familiarity with cloud infrastructure (AWS, GCP, Azure) and containerization.
- You have experience with shortening “build-measure-learn” by means of prototyping and experimentation to iterate quickly and build software users love.
Our StoryWe’re on a mission to empower anyone to curate, grow, and monetize their digital universe. We created the “link in bio” category — and we’re just getting started. From creators, artists, and entrepreneurs to global brands, we’re redefining how people connect with their communities, showcase their content and promote products — all in one link.
Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space.
Benefits- An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!
- Employer contribution towards your retirement.
- Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.
- Employee stock option program - we want each and every employee to share in the company’s success.
At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we’re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience.
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