Jobs / Gra***
Senior Machine Learning Engineer, Developer Advocacy | UK | Remote
Gra*** · United Kingdom · Remote
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United Kingdom91,755-110,106 GBP/yearlyRemote
Remuneration
91,755-110,106 GBP/yearly
Location
United Kingdom · Remote
British Summer Time (UTC+1)
Visa sponsorship
Sponsors visa
Job summary
Gra***, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale.
Benefits
Bonus Points For:Compensation & Rewards:In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106At the beginning of the process.Why You’ll Thrive at Grafana Labs:Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving enTransparent Communication – Expect open decision-making and regular company-wideInnovation-Driven – Autonomy and support to ship great work and try new things.Open Source Roots – Built on community-driven values that shape how we work.Empowered Teams – High trust, low ego culture that values outcomes over optics.Career Growth Pathways – Defined opportunities to grow and develop your career.Approachable Leadership – Transparent execs who are involved, visible, and human
Qualifications
- You may not meet every requirement, and that’s okay.
- Gra*** is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana.
- A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed.
- Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems.
- You are comfortable beginning with simple, explainable approaches when they are the best way to learn.
- HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems
- You have personally built, validated, monitored, and iterated on models used in a product or operational environment.
- Experience with content, education, onboarding, or learning recommendation systems
- Experience with SaaS product telemetry and customer-account data
- Experience using warehouse-scale behavioral data
- Experience with directed graphs, sequence models, or prerequisite-aware recommendations
- Experience with contextual bandits or other exploration strategies
Responsibilities
- You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap.
- You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy.
Skills
CommunicationLeadershipSalesforce
Degrees
Associate
Industry
AutomotiveEducationEnergyLogisticsMediaSaas
Company size
Smb