More jobs:
Forward Deployed Engineer; B2
Job in
London, Greater London, W1B, England, UK
Listed on 2026-02-25
Listing for:
DCV Technologies
Full Time
position Listed on 2026-02-25
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position:
Forward Deployed Engineer (B2)
Location:
London, UK (Hybrid)
Permanent position
Job Requirements
* Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as Lang Chain, Lang Graph etc.
* Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs
* Expertise in deploying production grade GenAI solutions, including evaluation and optimizations;
Machine Learning deployments on AWS, Azure or GCP
* Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)
* Experience with Dev Ops tools:
Kubernetes, Docker, Terraform, CI/CD Pipelines, Git Hub/Git Lab, Git Ops, Git Hub Actions, Jira, Jenkins, Circle
CI, Datadog, Slack.
* Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
* Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
* 5+ years of engineering and technical deployment experience in a customer-facing set up
* Should scoped and delivered complex systems in rapid and ambiguous environments
* Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks
* Understand how AI model behaviour affects product experience
* Communicate clearly with engineers, product teams, and customer stakeholders
* Flag risks early and seek attention as per the severity
Key responsibilities:
* Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed
* Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams
* Own technical delivery across multiple deployments from prototype to stable release
* Build bespoke AI and transformative agentic AI solutions
* Technical debugging and root cause analysis
* Rapid prototyping
* Implement and administer best practices
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