Senior Machine Learning Engineer

WRK digital; Remote; GBP 90,000 - 100,000; Full time

Job summary

A dynamic technology startup is searching for an experienced Machine Learning Engineer to design and deliver innovative AI solutions. This remote role involves close collaboration with clients and internal teams to automate workflows with cutting-edge technologies. Ideal candidates will have strong skills in Python and machine learning, a problem-solving mindset, and a desire to work within a collaborative team culture. Join a passionate group dedicated to enhancing online safety and fairness.

Benefits

Remote work flexibility

Collaborative team culture

Opportunities for professional growth

Qualifications

• Strong Python and machine learning engineering skills.
• Experience applying AI to real-world problems.
• Familiarity with MLOps practices and tools.

Responsibilities

• Collaborate with customers to design AI-driven automation.
• Contribute to the development of the Virtual Agent platform.
• Ensure high performance and reliability of AI services.

Skills

Python programming

Machine learning engineering

Problem-solving

Project management

Collaboration

Tools

Kubernetes

SQL

NoSQL databases

GitLab CI

Terraform

Job description

Machine Learning Engineer

Location : Remote - UK

Permanent

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 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.

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.

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.