Machine Learning Engineer with Data Engineering expertise

JR United Kingdom; London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An innovative tech company is on the lookout for a Machine Learning Engineer with Data Engineering expertise. This hybrid role involves designing data pipelines and developing machine learning models to enhance the capabilities of a cutting-edge SaaS platform. Join a dynamic team that values collaboration and impact, where your contributions will directly influence the future of data access and analysis. With a focus on employee wellbeing and a vibrant company culture, this opportunity promises both professional growth and a supportive environment. If you're passionate about making a difference in the tech world, this role is for you.

Benefits

Social calendar with family parties and games nights

Focus on team performance over hours worked

Inclusive events for all employees

Opportunities for learning and development

Qualifications

• Experience in both data engineering and machine learning.
• Proficiency in Python with relevant libraries for ML.
• Strong understanding of SQL and data modeling.

Responsibilities

• Design and deploy machine learning models for production.
• Build and maintain scalable data pipelines.
• Monitor and optimize ML systems for performance.

Skills

Machine Learning

Data Engineering

Python

SQL

Problem-solving

Education

Bachelor's Degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Apache Airflow

Docker

AWS

Job description

Social network you want to login/join with:

Machine Learning Engineer with Data Engineering expertise, london

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Client:

Tadaweb

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

08.05.2025

Expiry Date:

22.06.2025

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Job Description:

Tadaweb is a pioneering technology company with roots in Luxembourg and a growing global presence, with offices in the United Kingdom, France, and the United States. For over 13 years, we’ve been on a mission to make the world a safer place by empowering analysts with the tools they need to access the right information at the right time. Our cutting-edge SaaS platform revolutionizes PAI and OSINT investigations, making them faster, smarter, and more effective, all while adhering to the highest ethical standards by relying solely on publicly available information and supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do.

About the Role:

We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to enhance our platform’s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you!

Scope of Work:

Machine Learning Engineering

• Design, develop, evaluate, and deploy machine learning models for production.

• Optimize model performance based on key metrics for scalability, reliability, and real-world impact.

• Build and maintain end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring.

• Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations.

• Develop, maintain, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data.

• Ensure data quality, consistency, and availability to support ML workflows.

• Work with ELT processes and implement Medallion (Bronze/Silver/Gold) architecture to structure and optimize data transformation.

• Align data infrastructure with business needs and product strategy for PAI and OSINT.

System Optimization & Support

• Monitor, test, and troubleshoot data and ML systems for performance improvements.

• Recommend and implement enhancements to data pipelines, ML workflows, and system reliability.

• Ensure seamless integration of new ML models and data-driven features into production.

Your Profile:

• Experience in both data engineering and machine learning, with a strong portfolio of relevant projects.
• Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing.
• Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka.
• Strong understanding of SQL, NoSQL, and data modeling.
• Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions.
• Knowledge of MLOps practices and tools, such as MLflow or Kubeflow.
• Strong problem-solving skills, with the ability to troubleshoot both ML models and data systems.
• A collaborative mindset and ability to work in a fast-paced, small team environment.

You get bonus points if you have any of the following:

• Experience working with geospatial data or network graph analysis.
• Familiarity with PAI and OSINT tools and methodologies.
• Hands-on experience with containerization technologies like Docker.
• Understanding of ethical considerations in AI, data privacy, and responsible machine learning.

Our Offer:

• The opportunity to join a growing tech company, with strong product-market fit and an ambitious roadmap
• The chance to join a human-focused company that genuinely cares about its employees and core values.
• A focus on performance of the team, not hours at the desk.
• A social calendar including family parties, games nights, annual offsites, end of the year events and more, with an inclusive approach for both younger professionals and parents.

Tadaweb is an equal opportunities employer, and we strive to have a team with diverse perspectives, experiences and backgrounds.

Our culture:

Our company culture is driven by the core values of family first, nothing is impossible and work hard, play harder. We provide a healthy and positive culture that cares about employee wellbeing by creating a great workplace and investing our employees learning and development. Our leaders aspire to the philosophies of extreme ownership, and servant leadership.