Software Developer / MLOps Engineer
Consigli As
Software Developer / MLOps Engineer
London office, Vauxhall
Full time, 5 days in office
At Consigli, we build technology that makes engineering faster, smarter, and more sustainable. As a Software Developer / MLOps Engineer, you’ll work at the intersection of software engineering and machine learning operations. Your role is to ensure our AI models run reliably, efficiently, and at scale — turning cutting-edge research into production-ready tools that deliver real value to users.
What You’ll Do
Build and maintain robust ML pipelines for training, deployment, and monitoring
Develop backend systems and APIs that integrate AI into our SaaS platform
Take ownership of the ML performance, monitoring, availability, and security
Collaborate with ML engineers, data engineers, and product teams to deliver features end-to-end
Contribute to architecture decisions for scalable, cloud-native ML infrastructure
Stay up to date with the latest in MLOps practices and tools, and bring improvements into the workflow
Must-Have Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django)
Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker)
Experience with CI/CD pipelines and cloud environments (we use Azure)
Strong communication skills and a collaborative mindset
Preferred Skills
Experience with model versioning and experiment tracking (e.g. MLflow, Weights & Biases)
Understanding of optimizing both CPU-bound and GPU-bound workloads
Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, ELK stack)
Background in optimization, reinforcement learning, or generative AI (a plus, not required)
Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low-level languages and CUDA library is a plus)
Our Hiring Process
Questionnaire to get a feel for your mindset and priorities
15-minute screening call
Coding case: A hands-on task to assess your problem-solving and technical skills
In-person meeting with our leadership team — COO, Head of Product, and CTO
Final cultural fit check with our CEO
Why Join Consigli?
Work on real-world problems where AI creates measurable impact
Be part of a team where your work matters, and your ideas become real
Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards
Enjoy a dynamic hybrid setup, balancing focus and collaboration
Contribute to making the built environment smarter and more sustainable