OverviewSenior ML Engineer, Data and Machine Learning role at Linktree. We’re looking for a Senior Machine Learning 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? If you have a computer science, statistics or other relevant STEM background, 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.

Responsibilities

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 impact through experimentation.

You’ll collaborate with 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.

Qualifications

Strong software engineering background with experience in building and maintaining production systems.

Hands-on experience with ML 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.

Experience with shortening build-measure-learn cycles via prototyping and experimentation to iterate quickly and build software users love.

CompensationThe base salary offered for this role is targeted at $80,000-$110,000 GBP for roles based in United Kingdom. Final offers depend on multiple factors including location, experience, expertise, and role scope, and may vary from the range listed.

Location and How We WorkLondon, England, United Kingdom — hybrid: 3 days per week in the office, 2 days remote. We’re a global, diverse team with offices in London, Los Angeles, Melbourne, and San Francisco. We offer autonomy in how you structure your days and weeks and support async collaboration where possible.

Benefits

An annual wellbeing allowance to use on things like fitness memberships, development courses, childcare, travel, charitable donations, etc.

Employer contribution towards retirement.

Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.

Employee stock option program to share in the company’s success.

Work inclusivityLinktree is an equal opportunity workplace committed to inclusion. We welcome all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to participate fully, please contact talent@linktr.ee.

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