Technical Project Manager (AI/ML) (Spain - Hybrid)

Remotestar; Cambourne; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading deep-tech company is seeking a Technical Project Manager to oversee engineering projects and manage a team of ML/AI engineers. The ideal candidate will have a Master's degree, relevant project management experience in ML, and strong leadership skills. This hybrid role offers competitive perks including work visa sponsorship and private health insurance.

Benefits

Indefinite contract

Equal pay guaranteed

Variable performance bonus

Signing bonus

Work visa sponsorship

Relocation package

Private health insurance

Educational budget eligibility

Flexible working hours

Language classes

Discounted lunch options

Career plan

Qualifications

• 4+ years' experience in ML or data-driven software projects.
• 2+ years' experience managing engineering projects, especially LLMs or NLP.
• Experience with agile/scrum methodologies.

Responsibilities

• Manage a team of 4–6 ML/AI engineers.
• Oversee 4–5 concurrent engineering projects.
• Contribute up to 20% - 10% hands-on coding.

Skills

People Management

Project Management

Technical Leadership

Hands-on coding in Python

Stakeholder Management

Education

Master’s degree in a relevant field

Tools

Python

git

Docker

Job description

Overview

Job Location: As a TPM initially you can start working from Madrid or Barcelona until June 2026 and eventually relocate to San Sebastian.

Mode: Hybrid, 3 days from the office, 2 days remote

About the client:

Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

About the role

We are seeking experienced Technical Project Manager (TPM) with a strong managerial background and proven people management skills with technical background. This role blends technical leadership, project execution, and team management in a fast-paced, delivery-focused environment.

Responsibilities

• People Management: Manage a team of 4–6 ML/AI engineers, providing mentorship, career development, and performance evaluations, 1:1s.
• Project Management: Oversee 4–5 concurrent engineering projects, project planning, documentation, stakeholder management, and coordination with cross-functional teams. Drive day-to-day task management, status updates, weekly reviews, and stand-up meetings. Contribute up to 20% - 10% hands-on coding, primarily in Python, to stay close to the technology and assist with complex problem-solving.

Required Qualifications

• Master’s degree in Computer Science, Data Science, Physics, Engineering, or a related field.
• 4+ years’ experience delivering ML or data-driven software projects in industry, including planning, execution, and delivery.
• 2+ years’ experience managing end-to-end engineering projects; experience specifically with LLMs or NLP projects is a strong plus.
• Hands-on familiarity with contemporary ML and software engineering tools (Python, git, Docker); comfortable discussing technical tradeoffs.
• Experience with agile/scrum methodologies in software or ML-focused teams.
• Good communication and stakeholder management abilities, including with non-technical audiences.
• Working proficiency in English; Spanish is a plus.

Preferred Qualifications

• PhD in a relevant technical discipline.
• Experience directly managing LLM, NLP, or generative AI projects.
• Familiarity with cloud ML workflows (AWS, GCP, Azure).
• Exposure to quantum/quantum-inspired technologies or advanced model compression techniques.

Perks & Benefits

• Indefinite contract.
• Equal pay guaranteed.
• Variable performance bonus.
• Signing bonus.
• We offer work visa sponsorship (If applicable).
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible working hours.
• Flexible remuneration: hospitality and public transportation.
• Language classes and discounted lunch options
• Working in a high paced environment, working on cutting edge technologies.
• Career plan. Opportunity to learn and teach.
• Progressive Company. Happy people culture