Jonathan Harrold


Jonathan is a Consultant in the NLP Division at DeepRec.ai, working across Germany. He collaborates with start-ups, venture capital firms, and reputable large enterprises, connecting them with key AI specialists. On both the candidate and client sides, Jonathan helps AI professionals seeking career progression and assists organizations looking to expand their teams.

Previously, Jonathan worked as an estate agent for several years before transitioning into recruitment. He began his recruitment career in the education sector across London and later moved into the AI industry with DeepRec.ai. Fascinated by the ever-changing AI landscape and its growth potential, Jonathan made the shift to focus on this dynamic field.

"I was drawn to joinDeepRec.ai, particularly in its early stages, because of the outstanding infrastructure at Trinnovo Group, which is designed to support and grow a brand like DeepRec.ai. Additionally, the extensive market knowledge of Co-founders Anthony and Hayley in the AI space made it an incredible opportunity that I couldn’t pass up."

JOBS FROM JONATHAN

Berlin, Germany
Machine Learning Engineer
Role: Machine Learning Engineer (B2 German required)Location: Berlin, Germany (Hybrid)Salary: €80,000 – €100,000About:Our client are a fast-growing, profitable company driving AI breakthroughs for clients across industries. Their team of passionate engineers rapidly delivers AI-powered MVPs, transforming clients into AI powerhouses.The Role:As a Machine Learning Engineer, you will:Lead AI-driven projects, turning Proof-of-Concepts (PoCs) into production-ready MVPs.Build data pipelines, develop and deploy ML models, and integrate them into client systems.Collaborate with corporates, NGOs, scale-ups, and public sector organizations.What You Bring:Software Expertise: 2+ years of experience building scalable software solutions with Python and SQL.ML Skills: Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and the full ML lifecycle (training, deployment, monitoring).Cloud & Deployment: Experience with cloud platforms (preferably Azure), Docker, and secure web applications (SSL certificates).Adaptability: Comfortable with ambiguity and solving diverse engineering challenges.German Proficiency: B2 or higher for client communication (required).Nice-to-Haves:Experience with LLMs (OpenAI, Claude API).Front-end development skills.Integration with SAP.Data science tools (pandas, matplotlib, scikit-learn).What They Offer:Growth: A chance to do the best work of your career with continuous learning and development.Impact: Be part of a pioneering AI company, delivering real-world breakthroughs.Flexibility: Innovative work practices and a supportive, value-driven environment.
Jonathan HarroldJonathan Harrold

INSIGHTS FROM JONATHAN

Swiss AI Adoption: Bridging the Gap for SMEs

Swiss AI Adoption: Bridging the Gap for SMEs

Data Goes Nuclear?

Data Goes Nuclear?

Navigating the EU AI Act: Essential Insights for CEOs on Talent Management

Navigating the EU AI Act: Essential Insights for CEOs on Talent Management

The Leadership Lab Podcast: Principal Director at EPAM, Massimo Buonaiuto | Episode 41

The Leadership Lab Podcast: Principal Director at EPAM, Massimo Buonaiuto | Episode 41