Senior AI/ML Engineer

N Consulting Limited; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A consulting firm is seeking a Senior AI/ML Engineer in London to build and optimize AI/ML pipelines for predictive modeling and generative AI applications. This role offers a hybrid work environment where the candidate will collaborate with cross-functional teams and implement deep learning architectures using frameworks like TensorFlow and PyTorch. A strong background in Big Data solutions and statistical analysis is essential. The position is contract-based for one year, offering £400 - £450 per day.

Qualifications

• Experience with AI/ML pipelines and generative AI applications.
• Strong knowledge of deep learning architectures including CNN, RNN, and LSTM.
• Proficiency in programming languages such as Python and R.

Responsibilities

• Build and optimize predictive modeling pipelines.
• Perform data analysis and visualization to extract insights.
• Collaborate with teams to deploy AI solutions in production.

Skills

Data Mining

NLP

Predictive Modeling

Deep Learning

Big Data Solutions

Machine Learning

Statistical Analysis

Programming in Python

Collaboration

Exploratory Data Analysis

Tools

TensorFlow

PyTorch

Hadoop

Spark

AWS

Job description

LocationLondon, United Kingdom# Senior AI/ML Engineer at N Consulting LtdLocationLondon, United KingdomSalary£400 - £450 /dayJob TypeContractDate PostedDecember 11th, 2025Apply Now**Role Title: Senior AI/ML Engineer**Work mode: Hybrid, 3 days WFO Contract duration: 1 year 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 Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone