Machine Learning Engineer Jobs in London, UK

Compensation: Competitive (Financial Services) About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help ou...

Principal Machine Learning Engineer at Almedia. Apply via Ashby.

Machine Learning Engineer at Almedia. Apply via Ashby.

<div class="content-intro"><p>At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust!</p></div><p>At Trustpilot, we’re looking for a Machine Learning Engineer who’s ready to tackle real-world challenges and help us build robust, scalable systems for our AI models. If you’re excited about machine learning, enjoy solving complex problems, and want to work in a collaborative environment, this could be the perfect role for you.</p> <p> </p> <p><strong>Your role as a ML Engineer:</strong></p> <p> </p> <p>As part of the MLOps team, you’ll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life—ensuring they’re deployed, maintained, and monitored efficiently in production. You’ll have the opportunity to improve model performance and infrastructure, all while contributing to Trustpilot’s AI-driven solutions.</p> <p> </p> <ul> <li>Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring high performance and scalability.</li> <li>Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows.</li> <li>CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models.</li> <li>Model Monitoring: Help monitor the performance of machine learning models post-deployment, ensuring reliability, scalability, and quality over time.</li> <li>Collaboration: Work with cross-functional teams to design solutions that meet business needs while adhering to best practices in machine learning and software engineering.</li> <li>Optimise: Continuously improve our infrastructure, ensuring we remain at the forefront of AI model production and delivery.</li> <li>Agentic Development: Develop MCP servers and A2A agents through our internal framework for managing multi agent orchestrated deployments.</li> </ul> <p> </p> <p><strong>Ideal Qualifications:</strong></p> <p> </p> <p>We’re looking for someone who has a solid technical foundation in both machine learning and software engineering. If you don’t meet every single point below, please still consider applying—what matters most to us is your growth mindset, your ability to learn quickly, and how you work collaboratively.</p> <p> &lt