Machine Learning Engineer developing AI models for satellite and drone data analysis. Engaging with geospatial challenges and pioneering advancements in computer vision technology.
About the role
- Senior Machine Learning Engineer leading development and deployment of AI systems for various clients at Faculty. Focused on building scalable ML software and infrastructure.
Responsibilities
- Leading technical scoping and architectural decisions for high-impact ML systems
- Designing and building production-grade ML software, tools, and scalable infrastructure
- Defining and implementing best practices and standards for deploying machine learning at scale across the business
- Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
- Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
- Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth
Requirements
- You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
- You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
- You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
- You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
- You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
- You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders.
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in our Old Street office, London)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
ML Engineer developing and deploying cutting - edge machine learning solutions for a fast - growing AI - driven platform. Join a dynamic team contributing to innovative products that impact user experience and business growth.
Student Assistant focusing on applying AI and Machine Learning techniques for research in an innovative team at Fraunhofer society.
Senior AI/ML Engineer at S - Payment, part of DSV Group, developing AI - driven payment solutions. Designing and implementing a central AI platform and mentoring team members.
Big Data Developer creating Business Intelligence tools at Triton Digital. Joining a technology - enthusiast team, focusing on innovation and data solutions.
Développeur Big Data / Machine Learning rejoignant notre équipe « Audience » pour créer des outils d'intelligence d'affaires. Collaborer avec des scientifiques des données et gérer les modèles de machine learning.
Machine Learning Engineer at SYNCPILOT developing AI functionalities in a Microservice architecture. Collaborating with experts and integrating ML/AI into existing systems.
Machine Learning Developer building robust data pipelines and scale ML systems at Morgan Stanley. Collaborating with Data Scientists and Engineers to transform big data into actionable insights.
Senior Machine Learning Engineer at LPL Financial developing machine learning solutions. Leading end - to - end model lifecycle and collaborating with cross - functional teams to enhance client experiences.
Machine Learning Resident supporting engineering design processes at Dune Engineering. Involves collaboration on developing AI - driven methods in a paid residency.