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AI Software Engineer

London
1 month ago
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Machine Learning Engineer

Machine Learning Engineer (AI Platform)

Machine Learning Engineer (AI Platform)

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 integrationRequirements:

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 experienceDesirable:

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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