Location: Spain (Full remote from Spain)
Start Date: ASAP
Duration: 12 months (extendable)
Position Overview
We are looking for an MLOps / ML Engineer to manage the full lifecycle of Machine Learning models within an advanced document‑processing platform.
The role focuses on deploying, distributing, and retraining Computer Vision models used for automated document analysis, OCR, and intelligent entity extraction.
This person will work within a multidisciplinary team responsible for developing, improving, and operating a scalable document‑processing solution.
Unlike a pure DevOps‑oriented MLOps role, this position is more hands‑on in ML development, model optimisation, and fine‑tuning, with a moderate MLOps component focused on pipelines, deployment, and automation.
Key Responsibilities
* Manage the end‑to‑end lifecycle of Computer Vision and OCR‑based ML models (deployment, optimisation, fine‑tuning, retraining).
* Operate and improve data and ML pipelines using Airflow and MLflow.
* Deploy and maintain ML components within Databricks environments.
* Implement and maintain CI/CD pipelines for ML modules.
* Use Terraform or Ansible for IaC automation and environment provisioning.
* Work closely with Data Scientists and Software Engineers to ensure reliable, scalable delivery of document‑processing models.
* Contribute to continuous improvement of the platform’s AI capabilities.
Required Skills
* Strong experience in Python and ML frameworks such as PyTorch or TensorFlow.
* Experience managing data pipelines and ML pipelines (Airflow, MLflow).
* Hands‑on experience deploying AI modules in Databricks.
* Exposure to IaC tools such as Terraform or Ansible.
* Experience designing and maintaining CI/CD pipelines.
* Background in Machine Learning development, model fine‑tuning, and optimisation.
* Spanish Mandatory
Nice to Have
* Experience with OCR, Computer Vision, or document‑processing models.
* Familiarity with scalable ML systems or automated retraining processes.
* Experience in environments requiring both ML engineering and MLOps competencies
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MACHINE LEARNING ENGINEER / DATA ENGINEER
At Tendam, we are expanding our Data & Analytics team to tackle exciting challenges in the fashion retail industry. We’re looking for a Machine Learning Engineer who will bridge the gap between Data Scientists and Data Engineers, accelerate the ML project lifecycle, and maximize the use of our cloud infrastructure.
Signify has partnered with a key client who is looking for a Senior Machine Learning Engineer to work with a product‑led tech company, building and scaling a core AI & ML platform used across customer‑facing products.
What will you do?
* 12 Months contract
* Europe (remote‑friendly)
* Start ASAP
2 Stage interview process with slots next week
You’ll join a small senior team that owns high‑impact ML platform initiatives and enables Data Scientists and AI Engineers to take models from development to production at scale.
What You’ll Do
* Own the end‑to‑end ML lifecycle (CI/CD, deployment, monitoring, retraining)
* Build and scale production ML systems (real‑time & batch)
* Design ML infrastructure on AWS (Python‑first)
* Implement monitoring, drift detection, and model lineage
* Work closely with Data Scientists & Data Engineers
What We’re Looking For
* Senior experience as a Machine Learning Engineer (strong MLOps focus)
* Solid understanding of ML systems design & lifecycle
* Comfortable working across data and engineering teams
* Data science background is a plus
* GenAI experience nice to have, not essential
If you are interested in this role, please reach out to me
Hiring on behalf of: A confidential, high‑growth technology & consulting organisation
We’re partnering with a leading international client that is building a brand‑new centre of excellence in Madrid and looking to hire exceptional AI Engineers who are passionate about solving complex problems, building cutting‑edge AI solutions, and shaping the foundations of a world‑class engineering culture.
If you thrive in fast‑paced, intellectually demanding environments and want to work on high‑impact initiatives from day one, this opportunity could be the perfect fit.
About Our Client
Our client is a newly formed, high‑profile technology venture backed by two globally recognised organisations. Their mission is to bring together top technical talent to deliver AI‑driven, commercially meaningful solutions across multiple business domains.
This is a rare chance to join at an early stage and help shape both the technical direction and team culture as the organisation grows.
Culture & Ways of Working
* Hiring exceptional technical talent with outstanding communication skills
* Deep collaboration between engineers, product teams, and business stakeholders
* Curiosity, positivity, and a passion for learning
* Ownership, accountability, and pride in delivery
* Problem‑solvers who thrive when working at pace
* A focus on practical, real‑world impact — not just building models
This is an environment for people who want to push boundaries and elevate the standard of what AI teams can deliver.
Responsibilities
* Take end‑to‑end ownership of AI‑centric technical products and projects
* Build and deploy machine learning systems that address real‑world commercial challenges
* Translate business problems into well‑framed AI opportunities
* Challenge existing processes to drive innovation and improve outcomes
* Stay up to date with fast‑moving AI advancements
* Make an immediate impact — you will be trusted and empowered from day one
What Our Client Is Looking For
* Deep understanding of machine learning fundamentals
* Experience deploying LLMs in production (prompting, agent workflows, retrieval pipelines, evals, etc.)
* Knowledge of LLM inference techniques (KV caching, speculative/parallel decoding, etc.)
* Strong programming skills in Python + one of C++, Java or .NET
* SQL experience
* Experience with Azure or AWS
* Excellent communication and stakeholder engagement skills
* An entrepreneurial mindset with a bias for action
* Ability to manage AI projects end‑to‑end
* Financial services experience is a plus (not essential)
* Degree in Computer Science, Mathematics, Engineering, or similar from a reputable university
Why This Role Stands Out
* Work with cutting‑edge AI technologies and help shape the technical roadmap
* Immediate influence and ownership of impactful projects
* Collaborate with some of the brightest talent in Europe
* Projects tied to real‑world events, markets, and emerging trends
* Direct exposure to senior stakeholders and domain experts
* Opportunity to help define a new team, new culture, and new standards
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