Senior Machine Learning Engineer

Talent Acquisition Partner at Qodea

Google Cloud-only digital partner

Solving the Talent Puzzle

Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA.

We are a global technology group built for what's next, offering high calibre professionals the platform for high‑stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.

Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you'll be proud to tell your friends about.

Qodea is built for what's next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development.

About the Role

We are looking for a

Senior Machine Learning Engineer

to be responsible for the end‑to‑end lifecycle of machine learning models that power core product features. You will design, build, and deploy innovative ML solutions, directly impacting the user experience through personalization, recommendations, and intelligent systems.

Responsibilities

Lead the algorithm selection, design, and prototyping of machine learning models to solve complex business problems, including recommendation, personalization, and predictive analytics

Apply your expertise in statistical modeling and machine learning to perform deep data analysis, guide crucial feature selection, and identify opportunities for product improvement

Own the full ML lifecycle, from breaking down discrete steps of a pipeline (e.g., with a DAG) to analyzing model implementations and improving their robustness in the wild

Implement and manage robust model observability, tuning, and optimization processes to ensure sustained performance and accuracy post‑deployment

Develop and maintain data pipelines to process and prepare data for model training and evaluation

Design and conduct A/B tests to evaluate model performance and its impact on key business metrics

Collaborate closely with product managers and engineers to define problems and deliver effective AI‑driven solutions

Mentor other team members, champion best practices in machine learning engineering, and stay current with the latest advancements in the field

This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.

Requirements

Hands‑on experience designing and deploying production‑grade machine learning systems

Strong foundational knowledge of various machine learning algorithms and a proven ability to select the appropriate methodology, avoiding a one‑size‑fits‑all approach

Proven experience in areas such as recommendation systems, personalization, natural language processing (NLP), or semantic search

Expert‑level programming skills in Python, with deep, hands‑on experience using data science and ML libraries such as Pandas, Scikit‑learn, TensorFlow, or PyTorch

Experience with data storage technologies (e.g., SQL, NoSQL, Key‑value) and their scaling characteristics

Experience with large‑scale data processing technologies (e.g., Spark, Beam, Flink) and associated patterns (Batch vs. Stream), with a deep understanding of when to use them

Experience using cloud platforms (e.g., GCP) at scale

Experience deploying ML‑based solutions at scale using cloud‑native services

Excellent communication and collaboration skills, with the ability to thrive in a fast‑paced, cross‑functional team environment

What Success Looks Like

Hands‑on experience designing and deploying production‑grade machine learning systems

Strong foundational knowledge of various machine learning algorithms and a proven ability to select the appropriate methodology, avoiding a one‑size‑fits‑all approach

Proven experience in areas such as recommendation systems, personalization, natural language processing (NLP), or semantic search

Expert‑level programming skills in Python, with deep, hands‑on experience using data science and ML libraries such as Pandas, Scikit‑learn, TensorFlow, or PyTorch

Experience with data storage technologies (e.g., SQL, NoSQL, Key‑value) and their scaling characteristics

Experience with large‑scale data processing technologies (e.g., Spark, Beam, Flink) and associated patterns (Batch vs. Stream), with a deep understanding of when to use them

Experience using cloud platforms (e.g., GCP) at scale

Experience deploying ML‑based solutions at scale using cloud‑native services

Excellent communication and collaboration skills, with the ability to thrive in a fast‑paced, cross‑functional team environment

Benefits

Culture and Environment

We are a team of passionate people who genuinely care about what they do and the standard of work they produce

Collaborate with our two hubs in Portugal: Lisbon and Porto

A strong company culture that includes weekly meetings, company updates, team socials, and celebrations

In‑house DE&I council and mental health first‑aiders

Time Off and Well‑being

25 days' annual leave, Juneteenth, your birthday off, and a paid office closure between Christmas and New Year's

Health insurance

15 days of paid sickness and wellness days

Growth and Development

A generous learning and development budget and an annual leadership development programme

Diversity and Inclusion

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting

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