Machine Learning Engineer
Posted 1 day ago by WRK digital
£75 Per hour
Outside
Remote
London Area, United Kingdom
Summary: The role of Machine Learning Engineer involves designing, building, and delivering AI solutions for a technology startup focused on automating operational workflows. The engineer will collaborate with customers and internal teams to create scalable tools and virtual agents that enhance efficiency. This position requires expertise in software engineering and machine learning, with a strong emphasis on customer engagement and technical delivery. The role is remote and offers an opportunity to contribute to a rapidly growing company with significant venture funding.
Key Responsibilities:
- Collaborate with customers to understand workflows and design AI-driven automation solutions.
- Contribute to the development of the 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 AI and computer vision technologies are implemented.
- Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions.
Key Skills:
- Strong Python and machine learning engineering skills, with experience applying AI to real-world problems.
- Ability to build agentic AI systems that automate human processes.
- Understanding of software deployment using Kubernetes and related infrastructure tools.
- Strong problem-solving and project management skills.
- Ability to thrive in a collaborative environment.
- Willingness to travel occasionally for company-wide gatherings.
Salary (Rate): £75.00/hr
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
Machine Learning Engineer
Location: Remote - UK
Contract Length: 3 months initially
IR35 Status: Outside IR35
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 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.
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. 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.
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. 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).
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.