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Job Description

Role Title: Senior AI/ML Engineer

Work mode: Hybrid, 3 days WFO

Contract duration: 1 year

Type of Contract : Inside IR35

Location: London

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 insights.

- Design and implement Big Data solutions using Hadoop, Spark, PySpark, and DataLake architectures.

- Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods).

- Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras.

- Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and 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:

Analytical Tools:

- EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn)

- Statistical & Multivariate Analysis

Big Data:

- Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark

- DataLake Architecture, AWS Redshift, Kinesis, EMR

Machine Learning

- Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN

- Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees, XGBoost

- Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering

Deep Learning

- ANN, CNN, RNN, LSTM

- Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential

NLP & Generative AI

- NLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings

- Transformers: BERT, ELMo

- OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning, text-embedding-ada-002

Libraries & Tools

- numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly

Programming

- Python, R, C++, C#, Java, Node.js, HTML, SQL

Agentic AI

- OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.