Job Description

Senior Machine Learning Engineer (MLE) - NLP & LLMs

Company:

Zgrow Solutions

Location:

Remote (Work from Home)

Job Type:

Full-time

Work Mode:

100% Remote

Working Hours:

Flexible, aligned with London (UK) time zone

About the Role

We're looking for a

passionate Senior Machine Learning Engineer (MLE)

with hands-on experience in

Natural Language Processing (NLP)

and

Large Language Models (LLMs)

.
If you enjoy building intelligent systems, fine-tuning LLMs, and developing AI solutions that make a real-world impact -- we'd love to hear from you!

Key Responsibilities

Design, develop, and deploy NLP-based machine learning models and pipelines. Fine-tune and optimize

Large Language Models (LLMs)

for custom use cases. Implement

Retrieval-Augmented Generation (RAG)

frameworks and build scalable AI applications. Work with

vector databases

and similarity search tools like

Faiss

. Collaborate with cross-functional teams to integrate ML models into production. Monitor and evaluate model performance using

Weights & Biases (W&B)

and other tools.

Required Skills & Experience

Strong proficiency in

Python

and ML frameworks. Proven experience with

Hugging Face

,

Transformers

, and

NLP

libraries. Hands-on experience in

LLM fine-tuning

,

prompt engineering

, and

RAG architectures

. Experience using

Faiss

for vector similarity search. Familiarity with

MLOps tools

such as

W&B

for experiment tracking. Solid understanding of

data preprocessing

,

feature engineering

, and

model evaluation

.

Nice to Have

Experience deploying models to cloud platforms (Azure, AWS, GCP). Knowledge of API integrations and scaling ML pipelines. Exposure to generative AI applications or chat-based systems.

Why Join Us

100% Remote and flexible working environment. Work on cutting-edge AI and NLP projects. Collaborate with a passionate, innovation-driven global team.

How to Apply

Send your updated resume to

hr@zgrowsolutions.com

with the subject line:

"Senior Machine Learning Engineer (MLE)"

Let's build the

future of AI together.

Job Types: Full-time, Permanent

Application Question(s):

What is your current CTC ? What is you expected CTC ? What is your notice period or availability to join? Are you comfortable working in the UK (London) time zone? Do you have hands-on experience with NLP and Large Language Models (LLMs)?
Work Location: Remote