Senior Machine Learning Engineer, MLOps

dowjones; Barcelona; Hybride; EUR 55 000 - 70 000; Plein temps

Avantages offerts par ce poste

Healthcare plans

Remote work 3 months/year

Meal benefit

Résumé du poste

Dow Jones is seeking a Senior Machine Learning Engineer to own the full MLOps lifecycle with emphasis on LLMOps. You will build, deploy and monitor ML models in production, scaling pipelines and optimizing inference performance.

You will collaborate with data scientists, engineers and product teams to drive experimentation, versioning and continuous delivery for ML workloads across platforms.

Qualifications

• Bachelor's degree or higher in a quantitative field or equivalent experience.
• 2-4 years of professional ML experience with models in production.
• Strong experience with LLMOps and agent/multi-agent systems.

Responsabilités

• Develop and manage LLM-based solutions, including semantic layers and fine-tuning.
• Own end-to-end ML model development, optimization and deployment.
• Design robust monitoring and retraining strategies for ML models.
• Collaborate with data scientists, engineers and product teams to deploy ML solutions.
• Improve experimentation frameworks, versioning and A/B testing for models.
• Implement ML automation, reproducibility and CI/CD practices.

Connaissances

LLMOps

Fine-tuning

Prompt engineering

Python

SQL

TensorFlow

PyTorch

ML pipelines

Formation

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Master's degree or Ph.D. is a strong plus

Outils

Snowflake

MLflow

Airflow

Spark

Dask

Description du poste

Job Description:

About the Team:

Our Technology team drives the evolution of our Technology, Engineering, Data,

Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.

About the Role:

We are seeking a highly experienced and technically adept Senior Machine Learning Engineer to join our team. In this pivotal role, you will own the entire lifecycle of MLOps from optimization to deployment, with a strong focus on LLMOps. This position demands a strong blend of hands‑on technical expertise, strategic thinking, and the ability to foster innovation within a dynamic environment.

You Will:

• Develop and manage LLM-based solutions, including semantic layer development, fine-tuning, model evaluation, deployment strategies, and the development of agent and multi-agent systems.
• Own end-to-end ML model development, optimization, and deployment.
• Ensure the scalability, efficiency, and reliability of ML pipelines.
• Design and implement robust model monitoring and retraining strategies.
• Optimize model inference and performance for production environments.
• Collaborate closely with data scientists, engineers, and product teams to integrate ML solutions.
• Improve experimentation frameworks, model versioning, and A/B testing strategies.
• Ensure best practices in MLOps, including automation, reproducibility, and CI/CD for ML.
• Contribute to architectural decisions and improve ML infrastructure.

You Have:

• A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field or equivalent work experience; a Master's degree or Ph.D. is a strong plus.
• 2-4 years of professional experience in machine learning with a strong portfolio of models deployed in a production environment.
• Strong experience with LLMOps, including fine-tuning frameworks, prompt engineering, and managing the lifecycle of large language models, as well as experience in the development of agent and multi-agent systems.
• Advanced hands‑on experience with cloud-based data warehouse solutions; Snowflake experience strongly preferred.
• Proficiency in Python and SQL and deep, hands‑on experience with ML frameworks like TensorFlow, PyTorch.
• A grasp of the broader data science toolkit, including libraries like Scikit-learn, Pandas, and NumPy.
• Experience building and maintaining MLOps pipelines using tools like MLflow, or Airflow.
• Experience with cloud platforms (AWS, GCP, or Azure) and large-scale data processing frameworks like Spark or Dask is preferred.

Our Benefits

• Comprehensive Healthcare Plans for you and your family (paid by Dow Jones)
• Extra paid Time Off (30 days of holidays/year)
• Possibility to work remotely for 3 months/year (desplazamiento program) or one week of remote work per quarter
• Meal benefit with Pluxee (171€/month on top of your salary)
• Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %).
• Comprehensive Insurance Plans
• Well-being Resources (200 USD allowance per quarter, Classpass, etc.)
• Family Care Benefits & Caregiving Support
• Subscription Discounts
• Employee Referral Program(2,500 USD for referring a talent)

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at [e-mail]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

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Business Area:

Dow Jones - Technology

Job Category:

Software Product Engineering

Union Status:

Non-Union / A clear and likely internal candidateBase Pay Range: 55,000 € - 70,000 €

We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.