---
title: DeepRec.ai Jobs & Careers — Deep Tech Recruitment
description: Explore DeepRec.ai careers in deep tech recruitment. Browse AI research, machine
  learning, and senior technical roles placed by a specialist deep tech agency.
type: company
url: https://www.foundrole.com/companies/deep-rec-ai
date: 2026-05-06T14:52:26Z
og_description: DeepRec.ai is a specialist recruitment agency focused exclusively on deep tech,
  AI, and machine learning talent. Part of the Trinnovo Group and B Corp certified,
  the firm connects top AI researchers and engineers with leading tech organisations.
og_image: https://www.foundrole.com/img/pages/e1p2h8/deep-rec-ai.png?v=3
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  - label: Staffing and Recruiting
    url: https://www.foundrole.com/sectors/staffing-and-recruiting
  - label: Staffing Agencies
    url: https://www.foundrole.com/sectors/staffing-and-recruiting/staffing-agencies
---

# DeepRec.ai Jobs & Careers — Deep Tech Recruitment

| | |
|---|---|
| **Industry** | Staffing & Recruiting |
| **Size** | 11-50 employees |
| **Headquarters** | Bishop's Stortford, Hertfordshire |
| **Founded** | 2023 |
| **Website** | https://www.deeprec.ai/ |
## About

DeepRec.ai is a specialist deep tech recruitment agency headquartered in Bishop's Stortford, Hertfordshire, UK. The firm provides full-service talent solutions focused entirely on the AI and machine learning sector, connecting high-calibre technical professionals with leading technology organisations globally.

## History

Founded in 2023, DeepRec.ai was established as a dedicated deep tech recruitment brand within the Trinnovo Group. The firm was built to address growing demand for specialist AI talent at a time when the market for machine learning researchers and engineers was expanding rapidly across the US and UK.

## Markets & Services

DeepRec.ai recruits across the full spectrum of deep tech disciplines:

- **AI & Machine Learning Research** — placing research scientists and ML engineers at leading labs and product companies
- **Computer Vision** — sourcing specialists in image recognition, object detection, and visual AI
- **Natural Language Processing** — NLP engineers and researchers for language model development
- **Generative AI** — talent for large language model and generative model teams
- **Embedded Engineering** — hardware-adjacent AI roles requiring systems-level expertise## Mission

To power progress in the world's most exciting industries by building high-quality connections between Deep Tech pioneers and world-class talent.## Open Positions

1 open positions at DeepRec.
- [Artificial Intelligence Researcher](https://www.foundrole.com/companies/deep-rec-ai?job=artificial-intelligence-researcher-in-san-francisco-xsv8fsc&tab=jobs) — 11 locations

[View all DeepRec jobs →](https://www.foundrole.com/companies/deep-rec-ai?tab=jobs)

## Top Roles Hired For

- Artificial Intelligence Engineer — $250K median ($238K–$275K range) (11 jobs)
- Data Engineer — $175K median ($175K–$175K range) (1 jobs)
- Marketing Specialist — $200K median ($200K–$200K range) (1 jobs)
- Sales Engineer (1 jobs)
## Hiring Activity

Monthly open-role counts for DeepRec (median of third-party job-count snapshots):

- April 2026: 2 open roles
- May 2026: 2 open roles
## Tech Stack

Most-used tools and platforms across DeepRec's active jobs, grouped by subcategory:

**Artificial Intelligence and Machine Learning (AI/ML):** Machine Learning (20%), Reinforcement Learning (16%), TensorFlow (4%), Deep Learning (4%), Feature Engineering (4%)
**Computer Science:** Algorithms (16%), Computer Science (8%), Abstractions (4%), Data Structures (4%)
**Robotics:** Robotics (24%), Motion Planning (4%)
**Machinery:** Tooling (24%)
**Data Management:** Dataset (8%), Data Quality (4%), Data Infrastructure (4%), Extract Transform Load (ETL) (4%), Data Transformation (4%)
**System Design and Implementation:** Systems Engineering (16%), Systems Integration (8%)
## Domain Expertise

Specialized knowledge areas across DeepRec's active jobs:

**General Networking:** Bridging (4%)
## Common Tools

Tools and capabilities DeepRec emphasizes more than the typical employer (IDF-weighted, so universally-mentioned skills don't dominate):

**People Management:** Team Leadership, Team Building
**Language Competency:** Literacy
**Personal Attributes:** Intellectual Curiosity
## Soft Skills

Soft skills emphasized in DeepRec's active job requirements:

**Soft Skills:** Decision Making (20%)
## Industry Focus

**Industries:** Staffing & Recruiting
**Sectors:** Human Resources & Staffing

## Frequently Asked Questions

### What does DeepRec.ai do?

DeepRec.ai is a specialist deep tech recruitment agency that places professionals in AI and machine learning roles, including Computer Vision, NLP, Generative AI, Machine Learning Research, and Embedded Engineering. The company operates as part of the Trinnovo Group and holds B Corp accreditation.
### Where is DeepRec.ai headquartered?

DeepRec.ai is headquartered in Bishop's Stortford, Hertfordshire, UK. Despite its UK base, the firm actively places candidates in the US market, with a concentration of roles in the San Francisco Bay Area and Silicon Valley.
### What types of jobs are available at DeepRec.ai?

DeepRec.ai places professionals in senior AI and deep tech roles such as AI researchers, machine learning engineers, senior technical staff, and computer vision specialists. The agency targets high-seniority technical positions across leading technology organisations.
### Is DeepRec.ai part of a larger organisation?

Yes, DeepRec.ai operates as part of the Trinnovo Group, a mission-driven staffing group focused on diversity and inclusion in the workplace. The company holds B Corp accreditation and an Investors in People Platinum designation, reflecting its commitment to ethical business practices.
### What industries does DeepRec.ai specialise in?

DeepRec.ai specialises exclusively in the deep tech sector, with a focus on artificial intelligence and machine learning. The agency works with technology companies seeking research scientists, ML engineers, and embedded systems specialists, particularly in the US and UK markets.
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