Forward Deployed Engineer, ML
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Who is Sonar
Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable secure and maintainable.
Integrating seamlessly with Claude Code Codex Cursor GitHub Copilot Gemini and Devin we help over 75% of the Fortune 100 build trusted reliable compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.
We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia ServiceNow Goldman Sachs AstraZeneca and Ford Motor Company count on us to provide independent explainable consistent review and governance of their AI-generated code via products like:
SonarQube: The worlds leading AI code review and verification platform.
SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.
Our team operates across global hubs in Austin Bochum Dubai Geneva London Singapore Tokyo and Washington D.C. We move with a mindset we call CODE:
Committed to our customers and community.
Obsessed with quality.
Deliberate in our decisions.
Effective as one team.
With over $400M in revenue and profitable fast-paced growth we are building the backbone of the AI software revolution. If youre hungry to have an impact want to build at a fast pace and ready to work at the forefront of AI we want to hear from you.
Position description
What you will do
- End-to-End Ownership: Proactively engage with client or partner teams in Research Engineering Data Science MLOps Infrastructure to understand their business and technical requirements. With our internal R&D team in the loop design specific implementations that you will integrate optimize and productionize within the clients existing or greenfield systems as well as transferring technical knowledge to client teams when applicable.
- Subject Expert: Stay up-to-date with the latest LLM capabilities and implementation patterns you are learning driven. You will need to explain complex technical details and concepts to both technical and non-technical audiences.
- Influence Model Training & Tuning: Represent our core R&D team on-site leading technical engagement with modern techniques covering all stages of model training using complex proprietary client data. Ensure architecture is aligned with and optimized for specific constraints (e.g. GPU types air-gapping).
- Develop Deployment Strategy: Define and execute a global technical strategy for integrating our ML solutions into diverse client environments ensuring compliance with sector-specific data security standards and performance SLAs. Based on your implementations build reusable playbooks and libraries that will accelerate yourself and others.
- Building Relationships: Operate autonomously and with agency to build strong relationships with clients create strategic technical partnerships and drive high-value referenceable production deployments.
- Serve as Internal Expert: Act as the primary internal consultant advising product research and sales on real-world client infrastructure limitations performance bottlenecks and emerging technical standards necessary for product success.
Experience and qualifications
- Education: Bachelors degree in Computer Science or a related field.
- Experience: 2 years of experience in a technical customer facing role such as Forward Deployed Engineer or as a Software/ML Engineer with consulting experience.
- ML Engineering & Training Expertise: Experience in the Machine Learning lifecycle (training optimization deployment) with a proven ability to lead and execute complex model deployments in production environments.
- Forward Deployed/Consulting Background: Proven track record working within or closely alongside client engineering teams to successfully deploy and integrate complex high-performance software involving cloud or on-premise ML workloads.
- Technical & MLOps Knowledge: Understanding of modern ML frameworks programming languages including Python and deployment technologies (Docker Kubernetes cloud services like SageMaker/Vertex AI/Azure AI).
- Value-Driven Influence: Demonstrated ability to influence senior technical leaders and lead engineers translating complex model performance and system architectures into clear tangible business value and deployment assurance.
Additional comments
This role is based in London. We are unable to consider candidates unwilling to be in London but we are willing to relocate the right candidate.
We value diversity equity and inclusion
At Sonar we believe that our diversity is our strength. We are a global company that values and respects different backgrounds perspectives and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants regardless of race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.
If you need any accommodation please reach out to us at emailprotected.
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
We do not currently support visa candidates in the US.
Applications that are submitted through agencies or third party recruiters will not be considered.
Required Experience:
IC
Key Skills
About Company
Bad code is risky business. AI-generated or written by humans, Sonar ensures top-tier code quality & security. Protect your organization from bugs and vulnerabilities that jeopardize customer trust, damage your reputation, and undermine developer experience.
