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Forward Deployment Engineer

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Onsite

Forward Deployment Engineer

Acuity Analytics

Forward Deployment Engineer

Skills

SQL QueriesReactNodePythonGitJenkinsData AnalysisMachine LearningAIGitHubCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

25 August 2026

What they need


We are looking for an experienced Forward Deployed Engineer (FDE) who thrives at the intersection of engineering, product, and customer success. In this role, you will work closely with customers and internal teams to design, integrate, and deploy AI-powered solutions in real-world production environments. You will act as a technical owner from solution design through implementation, ensuring high-impact outcomes and customer satisfaction.

Responsibilities

  • 8–10 years of professional software engineering experience
  • Strong hands-on experience with React.js for building modern, scalable frontend applications.
  • Strong backend development experience using Python and Node JS
  • Solid understanding of AI/ML concepts, including model lifecycle, inference, and real-world deployment considerations.
  • Experience working with AI-powered systems, such as LLMs, ML APIs, or data-driven applications.
  • Proven experience in system integration, including REST APIs, webhooks, and external services.
  • Experience deploying and supporting applications in production environments.
  • Strong problem-solving skills and ability to work in ambiguous, customer-facing scenarios.
  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Proficiency with version control (e.g., Git) and CI/CD pipelines (e.g., Jenkins, GitHub Actions)
  • Familiarity with testing frameworks (unit, integration, e2e) and basic security practices (auth, encryption, compliance)

Preferred Skills

  • Experience with data pipelines, databases (SQL/NoSQL), and analytics tools
  • Optimize AI systems for latency, and cost efficiency in production environments.
  • Exposure to AI system observability
  • Prior experience in customer-facing, consulting, or solutions engineering role.
  • Startup or fast-paced product environment experience
  • Ready to take ownership of customer success from implementation to scale.
  • Eager to work on cutting-edge AI-driven products.
  • To perform high impact role in bridging engineering, product, and real-world customer problems
  • Fast learning curve and exposure to diverse industries and use cases.
  • Design secure architectures ensuring compliance with data privacy and governance standards.

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