Anson McCade
Machine Learning Engineer
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Machine Learning Engineer
Location: London (Hybrid - 2 days onsite)
Salary: Up to £130,000 + package
We're seeking a talented Machine Learning Engineer to help deliver innovative, production-grade AI solutions that solve complex real-world challenges. Joining a high-performing engineering team, you'll work at the intersection of software engineering, machine learning, and cloud technologies to build scalable platforms and applications that make a tangible impact.
What You'll Be Doing
- Design, build and deploy production-grade machine learning applications and infrastructure.
- Develop scalable, reusable software components that accelerate the delivery of AI and data-driven solutions.
- Collaborate with software engineers, data scientists, product teams, and stakeholders to deliver high-impact projects.
- Lead technical design discussions and contribute to architecture decisions for complex ML systems.
- Build and maintain cloud-native solutions across AWS, Azure or GCP environments.
- Implement best practices around MLOps, deployment, monitoring, security, and scalability.
- Translate complex technical concepts into clear recommendations for both technical and non-technical audiences.
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What We're Looking For
- 4+ years' commercial experience as a Machine Learning Engineer
- Proven track record of deploying and operationalising machine learning models in production environments.
- Excellent Python development skills and a solid understanding of software engineering principles.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Strong knowledge of cloud platforms including AWS, Azure, or GCP.
- Hands-on experience with Docker, Kubernetes, and modern DevOps/MLOps practices.
- Understanding of machine learning fundamentals, statistics, and model evaluation techniques.
- Strong stakeholder management and communication skills.
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If you're passionate about building cutting-edge AI solutions and want to work on challenging projects with real-world impact, we'd love to hear from you. Apply today to learn more about this opportunity.
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