Junior AI Engineers and... Err, Gemologists.

Mongoose Gray
London, GB
On-siteCareer-pivot friendly

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

What success looks like

  • accurate language models
  • high-quality AI outputs
Typical background
data_sciencemachine_learning

Transferable backgrounds

Skills & requirements

Required

natural_language_processingmachine_learningdata_cleaningmodel_evaluationprompt_engineering

Preferred

ethical_aisoftware_integration

Stack & domain

AiLanguage modelsText datasetsEmbeddingsAttention layersPrompt designsFine-tuningLlmsDomain-specific dataMetricsPerplexityBleuRougeF1 scoreUser-centric feedbackPrompt engineeringIntegrationApplicationsApisProduction pipelinesPerformance monitoringDebuggingHallucinationsBiasesUnexpected outputsData engineeringNlp researchSoftware developmentProduct ownershipVersion controlGitCi/cd pipelinesModel deploymentEthical aiMl best practicesLibrariesFrameworksToolsTeamworkCollaborationCommunicationProblem solvingLeadershipNlpMlData science

About the role

Responsibilities You will work for a fast-growing AI company in London, building language models that help real people in real world.You will preprocess and clean large text datasets, removing noise and polishing tokens until the patterns shine.You will experiment with embeddings, attention layers, and prompt designs to unlock hidden insights from language.You will fine-tune pre-trained LLMs on domain-specific data, making them more accurate, responsive, and context-aware.You will evaluate models using metrics like perplexity, BLEU, ROUGE, F1 score, and user-centric feedback.You will…

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