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AI Software Engineer

Experis - ManpowerGroup

London

On-site

GBP 50,000 - 90,000

Full time

Yesterday
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Job summary

A leading company in AI-driven solutions is seeking an AI Software Engineer to design, develop, and deploy secure AI systems. You will integrate ML models into robust software environments, collaborate with multi-disciplinary teams, and work on impactful projects. Ideal candidates will have strong Python skills and experience with machine learning technologies in a dynamic, innovative setting.

Qualifications

  • 3+ years of experience in software engineering with AI/ML integration.
  • Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
  • Familiarity with containerised environments and secure deployment practices.

Responsibilities

  • Design and implement scalable backend services for AI model deployment.
  • Collaborate with data scientists to productionise ML models.
  • Build and maintain secure APIs and infrastructure.

Skills

Python
ML frameworks
Software architecture
Microservices
CI/CD

Education

Bachelor's degree in Computer Science

Tools

Docker
Kubernetes
AWS
GCP
Azure

Job description

About Us:

We are recruiting for a fast growing UK based AI Start up who are AI driven software solutions in financial crime amongst other areas. Be part of a passionate, collaborative team who enable intelligent decision and are constantly making better and better solutions through AI and advanced analytics. They help organisations turn complex data into actionable insight. They're ambitious, they think things through and are on a mission to see how far they can go.

The Role:

They're looking for a skilled AI Software Engineer who is ready to the design, development, and deployment of secure AI powered systems. You'll be at the heart of a diverse, multidisciplinary and fast paced team to integrate ML models into robust, mission ready software environments. you'll contribute to cross-disciplinary discussions, ensuring AI solutions align with business goals and operational needs. Your expertise will help close the gap between advanced machine learning research and its practical, real-world implementation to drive impactful results. If you're eager to contribute to meaningful AI solutions and grow your career in a innovative environment, we'd love to hear from you.

Responsibilities:

  • Design and implement scalable backend services for AI model deployment in secure environments
  • Collaborate with data scientists and defence analysts to productionise ML models (e.g., for threat detection, anomaly detection, autonomous systems, or decision support tools)
  • Build and maintain secure APIs and infrastructure using Python (FastAPI/Flask), Docker, and Kubernetes
  • Contribute to DevSecOps workflows including automated testing, monitoring, and continuous integration

Requirements:

  • 3+ years of experience in software engineering, with a focus on AI/ML integration
  • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
  • Strong grasp of software architecture and microservices
  • Experience working in containerised environments (Docker, Kubernetes)
  • Familiarity with CI/CD pipelines, secure deployment practices and cloud deployment (e.g., AWS/GCP/Azure)
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Desirable:

  • Experience with LLMs or transformer-based architectures (e.g., OpenAI, Mistral, or custom-trained models)
  • Familiarity with tools such as Airflow, Spark, or Dask for large-scale data processing
  • Awareness of AI ethics, data privacy, and legal considerations in high-stakes environments

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

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