Job Specifications
We’re Hiring: Senior AI/ML Engineer – London (Hybrid)
Contract: 1 Year | Work Mode: Hybrid (3 days WFO)
We are seeking a highly skilled Senior AI/ML Engineer to join our team and drive cutting-edge AI initiatives, including NLP, generative AI, and agentic frameworks.
Key Responsibilities
Build and optimize AI/ML pipelines for predictive modeling, NLP, and generative AI applications.
Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract actionable insights.
Develop Big Data solutions using Hadoop, Spark, PySpark, and DataLake architectures.
Design, implement, and deploy ML models (supervised, unsupervised, ensemble methods).
Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, Keras.
Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), OpenAI APIs.
Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows.
Collaborate with cross-functional teams to deploy AI solutions in production environments.
Ensure scalability, security, and compliance of AI systems.
Required Skills & Experience
Python, R, C++, Java, SQL
ML: Supervised, Unsupervised, Tree-based, Ensemble models
DL: CNN, RNN, LSTM (TensorFlow, PyTorch, Keras)
NLP & Generative AI: NLTK, Word2Vec, BERT, GPT, OpenAI APIs
Big Data: Hadoop, Spark, PySpark, DataLake, AWS Redshift, Kinesis, EMR
Visualization: Matplotlib, Seaborn, Plotly
Agentic AI frameworks: LangChain, LangGraph, MCP, Bedrock Agents
Why Join Us
Work with cutting-edge AI & generative technologies.
Collaborate with top-tier professionals in AI/ML and data engineering.
Hybrid work setup in London.
About the Company
Natobotics Ltd founded in 2012, provides boutique technology, digital customer experience, consulting and software development services. Over the years we had been supporting our clients in the areas of cloud transformation, Big data & Analytics, Digital Journey, Machine Learning and Platforms.
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