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Safety Engineer (Backnd Leaning)

ElevenlabsUnited KingdomFull-timeSalary not listed · Typical pay in United KingdomPosted Oct 15, 2026

This listing is for a Safety Engineer (Backnd Leaning) role at Elevenlabs, in United Kingdom. It is listed as a full-time position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

This listing is for a Safety Engineer (Backnd Leaning) role at Elevenlabs, in United Kingdom. It is listed as a full-time position.

Reading the advert, the employer asks for 5+ years of experience.

Skills and tools named in the text include Python, React, Redis, Kafka, AWS, GCP, Kubernetes and Docker.

No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.

Benefits mentioned in the advert: bonus and learning budget.

The advert does not mention visa sponsorship. If you would move to United Kingdom for this job, check the official work permit route first (DGJ Insight lists it where we have it).

Dev Global Jobs found this job on Arbeitnow on Oct 15, 2026.

Employer
Elevenlabs
Location
United Kingdom
Job type
Full-time
Pay
Not stated by the employer
Experience asked
5+ years
Found
Oct 15, 2026 on Arbeitnow
Employer text
881 words, about 4 min to read
Skills named in the advert
PythonReactRedisKafkaAWSGCPKubernetesDockerCI/CDLLM
Before you apply
  • Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
  • Compare your own experience with the 5+ years the advert asks for, and show it clearly near the top of your CV.
  • Mirror the skills the advert names (Python, React, Redis and Kafka) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 4 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 2, 2026
Pay benchmark
Average wage, United Kingdom
GBP 46,511 average / year

Source: OECD Average annual wages, 2025

Cost of living · United Kingdom
100.5 vs New York = 100

UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
  • Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
  • Global Talent visa: Endorsement as a leader or potential leader in a listed field

Official routes: UK Visas and Immigration (GOV.UK)

Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

01About ElevenLabs

ElevenLabs is an AI research and product company transforming how we interact with technology.

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.

We have expanded from voice into three main platforms:

  • ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

  • ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.

  • ElevenAPI gives developers access to our leading AI audio foundational models.

Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

02How we work

  • High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

  • Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

  • AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations.

  • Excellence everywhere: Everything we do should match the quality of our AI models.

  • Global team: We prioritize your talent, not your location.

03What we offer

  • Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.

  • Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.

  • Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.

  • Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.

  • Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.

  • Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

04What you’ll do

  • Build safety systems: Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs’ products.

  • Respond to emerging threats: Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails to address new risks.

  • Own production infrastructure: Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation.

  • Bring ML models into production: Partner closely with ML engineers to deploy and integrate fine-tuned and proprietary ML models into production safety systems, ensuring they operate reliably and efficiently at scale.

  • Build end-to-end solutions: Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement.

  • Collaborate across teams: Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions.

    • Product: Understand and navigate the tradeoffs between product growth, user experience, and platform safety.

    • Legal: Translate legal and regulatory requirements into practical, scalable safety systems.

    • Safety Policy: Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints.

  • Shape our technical direction: Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users, and safety challenges grow.

05Requirements

  • 5+ years of software engineering experience building and operating production systems.

  • Strong backend engineering experience, including designing APIs, working with databases, and building scalable services.

  • Proficiency in Python and experience with modern backend frameworks.

  • Experience building and maintaining distributed systems and cloud-based applications.

  • Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance.

  • Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed.

  • Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions.

  • Ability to collaborate effectively with engineers and non-technical stakeholders across different functions.

06Bonus

  • Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems.

  • Experience building guardrails or safety infrastructure for AI agents and LLM-based applications.

  • Experience deploying and integrating ML models into production applications.

  • Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP).

  • Experience with monitoring and observability tools such as Prometheus and Grafana.

  • Experience with React or other modern frontend frameworks.

  • Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis.

07Location

This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.

#LI-remote

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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