Senior Machine Learning Engineer

<p><strong>About Us</strong></p> <p>Duco is on a mission to reduce the time spent on data-related work by 90%. Our enterprise data automation platform empowers teams to work more efficiently and meaningfully by giving them the ability to automate data controls with the latest technology, such as no-code, the cloud, and AI.</p> <p>We help firms to start trusting their data, by giving them one intuitive platform to automate the front-to-back processing of all kinds of data (from structured Excels and RTFs to unstructured PDFs and emails). This eliminates the boring manual work across the data lifecycle and enables firms to act faster, work smarter, save money, reduce risk and comply with regulatory requirements.</p> <p>We’re headquartered in London and have offices in New York, Wroclaw, Singapore, and Antwerp. We’re proud to call some of the largest global financial institutions our clients, including over 15 of the world’s largest international banks, as well as brokers, exchanges, asset managers, hedge funds, administrators, service providers and corporates.</p><p><strong>The Role</strong> </p> <p>We are seeking a talented Machine Learning Engineer to join our dynamic team. As a member of the engineering department, you will play a crucial role in developing, deploying, and enhancing our AI-driven Data Automation Platform. You will work on cutting-edge ML techniques, agentic AI systems and leverage recent advancements in LLMs to solve complex document-processing and data-automation challenges in production environments.</p> <p><strong>Primary Responsibilities: </strong></p> <ul> <li>Designing, developing, and deploying agentic AI systems and multi-agent architectures for production use</li> <li>Optimising and fine-tuning supervised models to improve accuracy, performance, and scalability as well as implementing ML algorithms and models for Intelligent Document Processing and Data Automation.</li> <li>Working on prompt engineering, agent orchestration, and ensuring reliable performance of AI systems at scale</li> <li>Building robust, scalable ML infrastructure and services that integrate seamlessly with our platform. </li> <li>Developing observability and monitoring systems for AI services in production</li> <li>Collaborating across teams to gather requirements and translate business needs into technical solutions</li> <li>Documenting technical specifications, architectural decisions, and findings to support knowledge sharing within the team</li> <li>Staying informed about the latest advancements in agentic AI, LLMs, and MLOps practices, and identifying the right frameworks to integrate into our platform</li> </ul> <p><strong>We are looking for someone with:</strong> </p> <ul> <li>Higher degree in Computer Science, Engineering, or a related field</li> <li>3+ years of experience delivering ML systems into production</li> <li>Proficiency in Python with solid software engineering practices (testing, code quality, design patterns)</li> <li>Practical experience with ML and NLP, including modern LLM frameworks (e.g., Transformers, PyTorch, LangChain/LangGraph or similar)</li> <li>Proven ability to build and deploy AI systems in production environments</li> <li>Cloud experience (AWS preferred - e.g., Bedrock, SageMaker or similar ML services)</li> <li>Familiarity with MLOps (Docker, Kubernetes, CI/CD, monitoring/observability)</li> <li>Experience with SQL and NoSQL databases and scalable data pipelines</li> <li>Strong problem-solving abilities for complex distributed systems</li> <li>Excellent collaboration and communication skills</li> <li>High attention to detail and commitment to production-quality delivery</li> </ul> <p><strong>Nice to have: </strong></p> <ul> <li>Experience with agentic AI systems, multi-agent architectures, or LLM orchestration frameworks</li> <li>Contributions to the ML/AI community (e.g., technical blog posts, open-source projects, conference talks)</li> <li>Experience with prompt engineering and LLM optimization techniques</li> <li>Knowledge of financial services domain or document processing systems</li> <li>Familiarity with observability tools (e.g., Sentry, Grafana, Prometheus, Honeycomb)</li> </ul> <p><strong>Benefits:</strong></p> <ul> <li>Competitive salary package aligned with your skills and experience. </li> <li>Group life insurance and pension plan by AXA </li> <li>Hospitalisation Insurance by ALAN (Delight Programme)</li> <li>Company car or tax-free mobility budget </li> <li>Enhanced family leave provisions </li> <li>Unlimited annual holiday, because we trust our people to manage their own time off</li> <li>Company phone and subscription by Orange </li> <li>Lunch allowance (meal tickets)</li> <li>4 Volunteering days off </li> <li>Flexible working policy (2-3 days per week in office)</li> <li>Opportunity to work abroad for up to 6 weeks per year. </li> <li>Personal learning and development opportunities (annual dedicated budget)</li> <li>Referral bonus if we hire someone great wh