National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer with Data Engineering expertise

Jobleads
London
1 week ago
Create job alert

Social network you want to login/join with:

Machine Learning Engineer with Data Engineering expertise, london

col-narrow-left

Client:

Tadaweb

Location:

london, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

3

Posted:

08.05.2025

Expiry Date:

22.06.2025

col-wide

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 aMachine Learning Engineerwith 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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer with Data Engineering expertise

Machine Learning Engineer with Data Engineering expertise (Basé à London)

Machine Learning Engineer with Data Engineering expertise (Basé à London)

Machine Learning Engineer with Data Engineering expertise

Machine Learning Engineer with Data Engineering expertise

Machine Learning Engineer with Data Engineering expertise

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.