Builds models and applications that understand and generate human language.

Entry

Intermediate

Coding

Very High

Key skills

NLP & transformersPythonHugging Face ecosystemLLM fine-tuning

Career overview

The NLP Engineer specialises in language: text classification, entity recognition, translation, summarisation, embeddings and LLM fine-tuning. They work with transformers, Hugging Face and vector databases. The role leads to Senior ML Engineer, AI Solutions Architect or Generative AI Engineer positions.

Main responsibilities

  • Build and train machine learning models
  • Train, fine-tune and evaluate models
  • Serve model inference at scale
  • Prepare and curate training datasets
  • Build and maintain CI/CD pipelines
  • Monitor platform health, alerts and dashboards
  • Keep technical documentation up to date
  • Prepare and execute change requests in production
  • Analyse application logs to identify root causes
  • Automate recurring tasks with scripts

Technical skills

NLP & transformers90%
Python88%
LLM fine-tuning85%
Embeddings & vector DBs85%
PyTorch / TensorFlow82%
Hugging Face ecosystem88%
Prompt engineering82%
Evaluation78%

Technologies

PythonPyTorchTensorFlowHugging FaceLangChainLlamaIndexspaCyNLTKTransformersPineconeWeaviateMilvusOpenAI APIFastAPIDockerKubernetesGitMLflowRedis

Education level

Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.

High School / Bac

Less common

Bac+2 (2-year degree)

Less common

Bac+3 (Bachelor)

Less common

Bac+5 (Master / Engineering)

Common entry point

Experience & coding level

Experience level

Entry LevelJuniorIntermediateSeniorExpert

Coding level

No codingLowMediumHighVery High
Technical difficulty85%

Useful certifications

Certifications are never mandatory. They are one way among others to prove a skill.

  • Google Professional ML Engineer
  • AWS Machine Learning Specialty
  • Hugging Face NLP Course Certificate

Where can this career take you?

Multiple paths are possible. Click a role to open its profile.

Where can you go next?

Realistic next career moves, with compatibility and a transition roadmap for each.

Overlap: 61% · Difficulty: Easy

Skills to learn: LLM application design, RAG & agents, Responsible AI

View roadmap

Where can you go from here?

A typical progression built from real career relationships. Click any role to open its profile.

Soft skills
  • Technical curiosity
  • Analytical thinking
  • Problem solving
  • Clear communication
  • Sense of ownership
  • Teamwork

Continue your career exploration

Keep moving: compare roles, follow a roadmap, read a guide or prepare for an interview.

Ready to explore your next step?

A documented transition from this role to the next.

NLP EngineerGenerative AI Engineer

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