

Lorien
AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with 4+ years of experience in AI/ML engineering, proficient in Python and Apache Spark, focusing on financial services. The contract is hybrid, based in London, and pays via Umbrella.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 7, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London
-
🧠 - Skills detailed
#Reinforcement Learning #AI (Artificial Intelligence) #ML (Machine Learning) #PyTorch #Spark (Apache Spark) #Knowledge Graph #Langchain #Data Processing #Data Engineering #Distributed Computing #Python #TensorFlow #Scala #Libraries #Deployment #Apache Spark #PySpark
Role description
AI Engineer
Hybrid Working - London - 2 days a week on site.
Financial Services
Lorien's leading banking client is looking for an additional AI Engineer join the existing team on a expanding project.
This role is based in London.
This role will be Via Umbrella.
Working in a Hybrid Model of 2 days a week on site.
Role Overview:
As an AI Engineer, you will be responsible for designing and developing intelligent agents capable of autonomous decision-making in distributed environments. You will leverage your expertise in Python and Spark to process large-scale data and use modelling techniques to enable complex agentic behaviours. Experience working with MCP servers or similar distributed computing platforms is key.
Key Responsibilities:
• Design and develop agentic AI systems that operate autonomously across diverse data sources and workflows.
• Implement scalable data processing pipelines using Apache Spark and Python.
• Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution.
• Integrate solutions with MCP (Massively Concurrent Processing) servers or equivalent architectures.
• Work closely with data engineers, researchers, and platform teams to ensure robust deployment.
• Continuously research and integrate emerging techniques in agent-based AI, multi-agent systems, and reinforcement learning.
Required Skills & Experience:
• 4+ years of experience in AI/ML engineering or data-intensive systems.
• Strong proficiency in Python for AI, ML, and data engineering tasks.
• Deep experience with Apache Spark (PySpark or Scala-based implementations).
• Solid understanding and hands-on experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches.
• Experience deploying to and managing workloads on MCP or distributed processing environments.
• Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.
• Ability to write clean, efficient, and well-documented code in a collaborative environment.
Desirable:
• Experience with multi-agent coordination or LLM-based autonomous agents.
• Background in distributed systems, knowledge graphs, or real-time data processing.
• Contributions to open-source AI projects or relevant research publications.
IND\_PC3
Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
AI Engineer
Hybrid Working - London - 2 days a week on site.
Financial Services
Lorien's leading banking client is looking for an additional AI Engineer join the existing team on a expanding project.
This role is based in London.
This role will be Via Umbrella.
Working in a Hybrid Model of 2 days a week on site.
Role Overview:
As an AI Engineer, you will be responsible for designing and developing intelligent agents capable of autonomous decision-making in distributed environments. You will leverage your expertise in Python and Spark to process large-scale data and use modelling techniques to enable complex agentic behaviours. Experience working with MCP servers or similar distributed computing platforms is key.
Key Responsibilities:
• Design and develop agentic AI systems that operate autonomously across diverse data sources and workflows.
• Implement scalable data processing pipelines using Apache Spark and Python.
• Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution.
• Integrate solutions with MCP (Massively Concurrent Processing) servers or equivalent architectures.
• Work closely with data engineers, researchers, and platform teams to ensure robust deployment.
• Continuously research and integrate emerging techniques in agent-based AI, multi-agent systems, and reinforcement learning.
Required Skills & Experience:
• 4+ years of experience in AI/ML engineering or data-intensive systems.
• Strong proficiency in Python for AI, ML, and data engineering tasks.
• Deep experience with Apache Spark (PySpark or Scala-based implementations).
• Solid understanding and hands-on experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches.
• Experience deploying to and managing workloads on MCP or distributed processing environments.
• Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.
• Ability to write clean, efficient, and well-documented code in a collaborative environment.
Desirable:
• Experience with multi-agent coordination or LLM-based autonomous agents.
• Background in distributed systems, knowledge graphs, or real-time data processing.
• Contributions to open-source AI projects or relevant research publications.
IND\_PC3
Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.






