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."

An AI company delivering end-to-end AI solutions—spanning foundation models, developer tooling, and enterprise-grade applications—is hiring a Technical Lead for its Applied AI function. This person will oversee delivery of advanced AI systems for large customers operating in regulated or high-complexity sectors such as banking, healthcare, and industrial production. What This Role Involves This is a player-coach position: you'll manage a small team of AI engineers while staying directly involved in building and reviewing code for the most technically demanding pieces of each engagement. You'll be the go-to technical contact for key accounts, spanning early scoping conversations through to rollout and support, and you'll coordinate closely with teams in research, product, and engineering. Core ResponsibilitiesContribute directly as an engineer on high-stakes workstreams (model fine-tuning, retrieval-augmented generation, multi-step agent systems, bespoke LLM builds)Guide and coach a group of applied engineers, establishing technical direction and quality barsSupport pre-sales by turning client requirements into workable technical proposalsTrack new developments in the field and bring promising approaches into the team's toolkitLoop customer learnings back to product and engineering to shape what gets built nextCandidate ProfileStrong written and spoken EnglishMaster's or doctoral degree in machine learning, computer science, or an adjacent discipline7+ years working in AI/ML, with 2+ years spent in a lead capacity (e.g., Engineering Manager, Tech Lead, Solutions Architect)History of shipping AI systems end-to-end, from early prototype to live production useSolid grounding in fine-tuning approaches, sophisticated RAG pipelines, and agent-based architectures at scaleHands-on coding ability in Python and PyTorch, plus familiarity with common ML toolingBackground in backend or full-stack engineering, including API and systems designComfortable presenting technical material to both engineers and non-technical leadershipAlso ValuableInvolvement in open-source AI/ML projectsPrevious work in a client-facing capacity (e.g., Solutions Engineer, Technical Account Manager)Experience shaping a product roadmap using direct customer input

Jobs from Jonathan Harrold

Technical Lead / Solutions Architect, Applied AI