The Codest

Machine Learning Team Leader

The Codest  •  300k - 384k/yr  •  Remote  •  2 hours ago
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Job Description

🌍 Hello World!

We are The Codest - International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services.

Our expertise centers on web development, cloud engineering, DevOps and quality. After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams.

But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step.

Project description:

Our client is one of the largest e-commerce platforms in Europe, used by millions of users every day. The company connects sellers - from small businesses to global brands - with customers, offering a vast product selection, fast delivery, and a well-crafted shopping experience.

The role:

  • Ensure that the contractor team delivers high-quality ML Scoring solutions (e.g., click and conversion predictions) for Sponsored Offers on schedule, maintaining responsibility for the team's technical output and project milestones.

  • Manage the training scope for deep learning models, including feature space definition and model lifecycle standards.

  • Orchestrate the transition of scoring responsibilities from existing teams in cooperation with backend and product stakeholders.

  • Provide expert insight to future roadmaps for the ML scope of Sponsored Offers.

Specific skills and tools

  • Machine Learning & Analytics: deep learning architectures, model training pipelines, feature engineering, model calibration, A/B testing, offline and online evaluation.

  • Platforms & Infrastructure: Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage), workflow orchestration, model artifact lifecycle management.

  • Languages & Data: Python, Pytorch/Tensorflow, SQL, distributed data processing concepts (Dask/Spark).

  • Leadership: team building, stakeholder communication, roadmap execution, and cross-functional delivery governance.

Requirements

  • 8+ years of experience in Machine Learning or Data Science roles in production environments.

  • 2+ years of direct people management experience.

  • Proven track record in leading end-to-end model training initiatives for business use cases.

  • Strong practical expertise in the full model lifecycle: data preparation, feature engineering, training, evaluation, calibration, and controlled rollout.

  • Hands-on proficiency in Python and SQL, with strong understanding of ML/deep learning frameworks (e.g., pytorch or tensorflow) and scalable data processing workflows.

  • Experience operating ML workloads in cloud environments, preferably GCP (Vertex AI, BigQuery, Cloud Storage).

  • Proven ability to drive cross-functional execution across ML, serving, and product domains, ensuring strategic alignment and performance visibility for Director-level stakeholders.

  • Strong decision-making based on business impact metrics (revenue, GMV, conversion) and experimentation results.

  • English level min. B2.

Nice to have:

  • Experience in AdTech, marketplace ranking, or recommendation systems at scale.

  • Familiarity with model artifact repositories, CI/CD for ML, experiment tracking frameworks, and feature store integrations

  • Exposure to online inference environments and cooperation with platform teams maintaining such services.

  • Experience with developing pCTR/pCVR-like models.

Our offer:

  • 26–32k PLN on a B2B contract

  • Paid days off on public holidays in the case of a monthly fixed-fee settlement

  • Access to the Worksmile platform, where you receive 300 PLN each month to spend on gift cards or various services

  • A work environment that values growth and innovation - you bring the ideas, and we want to hear them 😉

Recruitment process:

  • 30-minute screen with our recruiter, Justyna

  • Technical Verification Meeting

  • Profile screening by Manager

  • Client Technical Verification Meetings

  • Stakeholder meeting

  • Offer

Questions, insights? Feel free to reach out to our recruiting team:

justyna.pazdalska@thecodest.co

In the meantime, feel free to visit our website where you can find key facts about us.

The Codest

About The Codest

We help FinTech companies, digital banks, and scaleups accelerate growth with experienced developers who understand data, product, compliance, and delivery at scale.

With a team of senior engineers, we don’t just fill gaps, we strengthen in-house capabilities and build long-term technical partnerships, not outsourcing setups.

Our mission is simple: to empower your teams to deliver faster, cleaner, and more reliable software - the kind that scales with your ambitions.

With 150+ successfully delivered projects for blue-chip brands such as Alpha Bank, Deutsche Bank, Ramp Network, and Wizz Air, we bring proven experience, speed, and trust to the table.

Having built and scaled our own product - Yieldbird, recognized twice in the Top 25 Deloitte ranking, we know what it takes to grow digital platforms from the inside out. That product DNA still defines how we work today.

At our core, we believe in “Customers and People First.” We value partnership, transparency, and long-term collaboration, ensuring every client gains the right talent, mindset, and results.

Your project deserves the right team.

📩 Let’s talk:contact@thecodest.co

Industry
IT & Software
Company Size
11-50 employees
Headquarters
London, GB
Year Founded
2009
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