MLOps Technical Manager

Empresa : The Parser, Llc Tipo de empleo : Tiempo completo Argentina

Descripción del trabajo - MLOps Technical Manager

MLOps Technical Manager

Who is Parser?

Technology alone does not create impact-the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and Al enablement.

We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.

We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, Al & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.

Why Join Us? If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we'd love to meet you.

How will you impact?

As a Tech Lead with a strong MLOps engineering background, you will lead the design, architecture, and delivery of ML infrastructure, owning the end-to-end stack from backend to frontend while driving MLOps best practices across the team. You will work closely with data scientists, engineers,



and cross-functional stakeholders to deliver scalable ML systems—including predictive maintenance, fault detection, and component lifecycle optimization—while mentoring and guiding your engineering team.

Your key responsibilities:

Your responsibilities include, but not limited to:

- Own the end-to-end technical delivery of ML systems, from backend infrastructure to frontend integration.
- Lead architectural decisions across the ML stack, ensuring scalability, reliability, and alignment with business goals.
- Drive the ongoing migration from MLflow to AWS SageMaker, maintaining continuity and minimizing disruption.
- Define and enforce MLOps best practices across model training, serving, monitoring, and deployment.
- Design and maintain scalable ML infrastructure supporting batch and real-time environments, alongside robust ETL/ELT pipelines.
- Develop and maintain React-based frontend interfaces that surface ML insights to operational and engineering stakeholders.
- Lead, mentor, and provide structured feedback to a team of 5+ engineers, fostering a high-performance culture.
- Collaborate with cross-functional stakeholders across engineering, data science, and operations while proactively addressing technical blockers.

What you'll bring to the role:

Essential Requirements:

- 10+ years of experience in Software, Data, or ML Engineering roles.




- Proven track record as a Tech Lead (managing teams 5+ people), owning end-to-end technical delivery across backend and frontend systems.
- Deep expertise in MLOps (model training pipelines, serving infrastructure, monitoring, CI/CD) and expert-level proficiency in Python.
- Strong hands-on experience with MLflow (mandatory) and solid experience with AWS and cloud-native architectures.
- Frontend proficiency in React, with the ability to deliver end-to-end product features.
- Hands-on experience with ETL/ELT pipelines, data engineering, and large-scale data processing.
- Experience with containerization (Docker) and scalable data systems (e.g., Spark, Kafka).
- Strong leadership presence, excellent communication, strategic thinking, and empathy with a hands-on execution mindset.

Desirable Requirements:

- Experience with AWS SageMaker or similar managed ML platforms.
- Background in safety-critical or regulated industries (aerospace, aviation, or similar).
- Familiarity with Kafka or event-driven architectures for real-time ML pipelines.

Location: London, UK.

You will receive:

- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- The opportunity to be part of an amazing, multicultural community of tech experts.
- A highly competitive compensation package.
- A versátil and hybrid working environment.
- Medical insurance.

Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, a

📌 Mlops Technical Manager (Antioquia)
🏢 The Parser
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