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Senior Machine Learning Engineer
WRK digital
- London, England, United Kingdom
- London, England, United Kingdom
Über
Remote - UK Employment type:
Full-time Seniority level:
Mid‑senior level Salary:
£90-100K per year + benefits Start date:
Immediate
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 organisation’s mission is to help businesses solve real‑world challenges in areas such as trust, safety, and marketplace operations – enabling them to scale efficiently without complex integrations. Having recently raised over $25M in venture funding, the company operates at significant scale, processing millions of images and videos daily. This is an exciting stage as they expand the platform and capabilities over the coming year and beyond.
The Role 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.
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.
About You 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.
Requirements
Strong Python and machine learning engineering skills, with experience applying AI to real‑world problems.
Ability (or willingness to learn) to build agentic AI systems that automate human processes.
Understanding (or keen desire to learn) software deployment using Kubernetes and related infrastructure tools.
Strong problem‑solving and project‑management skills.
Thrives in a collaborative environment where shared success matters most.
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).
Why Join A small, remote‑first team of passionate technologists dedicated to making the online world safer and fairer. The company’s culture is built on trust, transparency, and self‑leadership – where kind, curious, and ambitious people come together to achieve extraordinary things.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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