iXceed Solutions

Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/Machine Learning Engineer based in London, UK, on a 12-month contract at £470/day. Key skills include machine learning, deep learning, big data technologies (Hadoop, Spark), and experience with NLP and Generative AI models.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
470
-
🗓️ - Date
December 17, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Keras #Programming #NLTK (Natural Language Toolkit) #Databricks #ML (Machine Learning) #SQL (Structured Query Language) #Pandas #AI (Artificial Intelligence) #Cloud #Transformers #BERT #Big Data #Model Evaluation #Security #TensorFlow #Python #Data Mining #AWS (Amazon Web Services) #PySpark #"ETL (Extract #Transform #Load)" #NumPy #NLP (Natural Language Processing) #RNN (Recurrent Neural Networks) #PyTorch #Datasets #Deep Learning #Spark (Apache Spark) #Redshift #Hadoop #Langchain #Compliance #Data Lake #Scala
Role description
Role Title: Senior AI / ML Engineer Location: London, UK Work Mode: Hybrid (3 days WFO) Contract Duration: 12 months Role Overview We are looking for a Senior AI / Machine Learning Engineer with strong hands-on experience in machine learning, deep learning, big data, and Generative AI. The role involves building scalable AI solutions, working with large datasets, and deploying models into production environments. Key Responsibilities • Build and optimise AI/ML pipelines for predictive analytics, NLP, and Generative AI use cases • Perform EDA, data mining, and visualisation to extract insights • Design and implement Big Data solutions using Hadoop, Spark, PySpark, Databricks, and Data Lake architecture • Develop and deploy machine learning models (supervised, unsupervised, ensemble) • Implement deep learning models (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras • Work on NLP and Generative AI use cases using transformers (BERT, GPT) and OpenAI APIs • Integrate agentic AI frameworks such as LangChain, LangGraph, MCP, Bedrock Agents, and CrewAI • Collaborate with cross-functional teams to deliver production-ready AI solutions • Ensure scalability, security, and compliance of AI systems Required Skills & Experience Big Data & Cloud • Hadoop, Spark, PySpark, Databricks • Data Lake architectures, AWS Redshift, Kinesis, EMR Machine Learning • Supervised, unsupervised, and ensemble models • Strong understanding of model evaluation and optimisation Deep Learning • ANN, CNN, RNN, LSTM • TensorFlow, PyTorch, Keras NLP & Generative AI • NLTK, TF-IDF, Word2Vec, embeddings • Transformers: BERT • OpenAI models: GPT-3.5, GPT-4o, embeddings Programming & Tools • Python (primary), SQL • NumPy, Pandas, Scikit-learn, TensorFlow, Keras Agentic AI • LangChain, LangGraph, MCP • OpenAI Agents SDK, Bedrock Agents Hi I hope you’re doing well. I’m currently working on a Senior AI / Machine Learning Engineer contract opportunity based in London (hybrid – 3 days onsite). Given your experience in AI/ML, Big Data, and Generative AI, I felt this role could be a strong match for your background. Role highlights: • Contract: 12 months • Rate: £470/day • Location: London, UK (Hybrid) Key focus areas include: • Building and optimising AI/ML pipelines for predictive analytics, NLP, and Generative AI • Working with Big Data platforms such as Hadoop, Spark, PySpark, and Databricks • Developing ML and Deep Learning models (CNN, RNN, LSTM) using TensorFlow / PyTorch • Implementing NLP and Generative AI solutions using BERT, GPT, and OpenAI APIs • Integrating agentic AI frameworks like LangChain, LangGraph, MCP, Bedrock Agents, and CrewAI • Deploying scalable, secure, production-grade AI solutions If this opportunity aligns with your experience and current availability, I’d be happy to share more details and discuss next steps. Looking forward to hearing from you. Best regards, Dhruv Solanki