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.

*This role is three days/week in-office and two days/week work from home. Candidates who cannot comply with this workplace policy need not apply.*

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 you’ve recommended to us
• Spot Rewards
• Employee of the Month and Employee of the Year award

Don't meet every requirement?

If you don't tick all the boxes but you're a quick learner who's genuinely excited about this role, we'd still love to hear from you. We value talent, curiosity, and drive, and we're always open to meeting people who are passionate about what we do.