Senior Machine Learning Engineer

About Us

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.

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.

Were headquartered in London and have offices in New York Wroclaw Singapore and Antwerp. Were proud to call some of the largest global financial institutions our clients including over 15 of the worlds largest international banks as well as brokers exchanges asset managers hedge funds administrators service providers and corporates.

The Role

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.

Primary Responsibilities:

• Designing developing and deploying agentic AI systems and multi-agent architectures for production use
• 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.
• Working on prompt engineering agent orchestration and ensuring reliable performance of AI systems at scale
• Building robust scalable ML infrastructure and services that integrate seamlessly with our platform.
• Developing observability and monitoring systems for AI services in production
• Collaborating across teams to gather requirements and translate business needs into technical solutions
• Documenting technical specifications architectural decisions and findings to support knowledge sharing within the team
• Staying informed about the latest advancements in agentic AI LLMs and MLOps practices and identifying the right frameworks to integrate into our platform

We are looking for someone with:

• Higher degree in Computer Science Engineering or a related field
• 3 years of experience delivering ML systems into production
• Proficiency in Python with solid software engineering practices (testing code quality design patterns)
• Practical experience with ML and NLP including modern LLM frameworks (e.g. Transformers PyTorch LangChain/LangGraph or similar)
• Proven ability to build and deploy AI systems in production environments
• Cloud experience (AWS preferred - e.g. Bedrock SageMaker or similar ML services)
• Familiarity with MLOps (Docker Kubernetes CI/CD monitoring/observability)
• Experience with SQL and NoSQL databases and scalable data pipelines
• Strong problem-solving abilities for complex distributed systems
• Excellent collaboration and communication skills
• High attention to detail and commitment to production-quality delivery

Nice to have:

• Experience with agentic AI systems multi-agent architectures or LLM orchestration frameworks
• Contributions to the ML/AI community (e.g. technical blog posts open-source projects conference talks)
• Experience with prompt engineering and LLM optimization techniques
• Knowledge of financial services domain or document processing systems
• Familiarity with observability tools (e.g. Sentry Grafana Prometheus Honeycomb)

Benefits:

• Competitive salary package aligned with your skills and experience.
• Group life insurance and pension plan by AXA
• Hospitalisation Insurance by ALAN (Delight Programme)
• Company car or tax-free mobility budget
• Enhanced family leave provisions
• Unlimited annual holiday because we trust our people to manage their own time off
• Company phone and subscription by Orange
• Lunch allowance (meal tickets)
• 4 Volunteering days off
• Flexible working policy (2-3 days per week in office)
• Opportunity to work abroad for up to 6 weeks per year.
• Personal learning and development opportunities (annual dedicated budget)
• Referral bonus if we hire someone great who youve recommended to us
• Spot Rewards
• Employee of the Month and Employee of the Year award

Dont meet every requirement

If you dont tick all the boxes but youre a quick learner whos genuinely excited about this role wed still love to hear from you. We value talent curiosity and drive and were always open to meeting people who are passionate about what we do.

Want to do a little more research before you apply

Head over to our Glassdoor page to learn about our benefits culture and to find out what our team thinks about life at Duco. You can also find out more about us on LinkedIn

Disclaimer

Because we are committed to inclusivity we strive to provide equitable opportunities for everyone. If you require accommodation during the recruitment process please let us know at Include your contact information the role youre applying for and how we can accommodate you.

During the interview process and after hire Duco does not discriminate on the basis of race colour gender or gender expression sexual orientation marital or pregnancy status national origin age disability religion or creed socioeconomic background or status size or any other protected characteristic.