Machine Learning Engineer

We're shortlisting for an experienced Machine Learning Engineer to design, build, and deliver cutting-edge AI solutions for customers. You'll apply your expertise in software engineering and machine learning to transform manual workflows into automated systems powered by AI.

You'll work closely with customers and internal teams to understand their challenges, develop virtual agents that automate tasks, and build scalable, self-service tools that empower users to achieve value independently.

Key Responsibilities

· Collaborate with customers to understand workflows and design AI-driven automation solutions.

· Contribute to the development of our Virtual Agent platform in line with product strategy.

· Ensure AI services maintain high standards of performance, reliability, and scalability.

· Participate in internal ML community, influencing how we implement AI and computer vision technologies.

· Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions.

We're looking for a proactive and versatile engineer who thrives in a collaborative environment and enjoys solving meaningful technical challenges. You'll be comfortable engaging with customers and internal stakeholders, driving technical delivery, and contributing ideas that shape our product roadmap.

You'll be great for this role if you:

· Have strong Python and machine learning engineering skills, with experience applying AI to real-world problems.

· Can (or want to learn to) build agentic AI systems that automate human processes.

· Understand (or are keen to learn) software deployment using Kubernetes and related infrastructure tools.

· Have strong problem-solving and project management skills.

· Thrive in a collaborative environment where shared success matters most.

· Are open to occasional travel for company-wide gatherings (typically three times per year).

Nice to Have:

· Experience working in a fully remote, international team.

· Previous startup experience.

· Experience building or operating agentic AI systems.

· Familiarity with MLOps practices and tools, CI/CD pipelines (e.g. GitLab CI, Argo CD), and infrastructure-as-code tools (e.g. Terraform).

· Knowledge of SQL/NoSQL databases, Kubernetes, and LLMs (Large Language Models).

WRK digital is proud to partner with a fast-growing technology startup building solutions that combine human expertise and AI agents to automate complex operational workflows. The organisations mission is to help businesses solve real-world challenges in areas such as trust, safety, and marketplace operations - enabling them to scale efficiently without the need for complex integrations. Having recently raised over $25M in venture funding from top-tier investors, the company is operating at significant scale, processing millions of images and videos daily. This is an exciting stage of their journey as they look to expand the platform and capabilities over the coming year and beyond.