AI/ML Engineer
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (35.0%).
Occupation Type
Telecoms and related network installers and repairers
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with DOHE. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
Description
About Us:
DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress.
We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators.
Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally
Everything we do is dedicated to championing EdTech startups to improve society and fulfil our mission.
EdTech Hub IT Team
The EdTech Hub IT Team powers the digital foundation of our ecosystem.
We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly.
From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology.
By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it.
We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role.
AI/ML Engineer
DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress.
We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators.
Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally
Everything we do is dedicated to championing EdTech startups to improve society and fulfil our mission.
EdTech Hub IT Team
The EdTech Hub IT Team powers the digital foundation of our ecosystem.
We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly.
From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology.
By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it.
We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role.
AI/ML Engineer
DOHE Global is using AI to reshape how startup consulting works. AI analyzes coaching sessions and generates reports, matches startups with the right experts, and in the long run, AI Agents will deeply analyze Problem-Solution Fit. This team turns all of that into reality.
This is not a prompt engineering role. You'll design and build end-to-end AI pipelines — recording → transcription → summarization → coaching report. Fine-tune LLMs for domain-specific models and architect Multi-Agent systems.
[한국어]
About Us
DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다.
현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다.
EdTech Hub IT Team
EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다.
우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다.
Requirements
In This Role, You'll
This is not a prompt engineering role. You'll design and build end-to-end AI pipelines — recording → transcription → summarization → coaching report. Fine-tune LLMs for domain-specific models and architect Multi-Agent systems.
[한국어]
About Us
DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다.
현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다.
EdTech Hub IT Team
EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다.
우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다.
Requirements
In This Role, You'll
- Build the end-to-end pipeline: recording → transcription → summarization → coaching report
- Auto-generate Pre-Diagnosis Reports from survey responses and startup data
- Design expert matching algorithms using startup profiles and diagnosis results
- Architect and implement Multi-Agent systems
- Fine-tune LLMs and train domain-specific models
- Design prompts, build evaluation frameworks, manage model versions, and run A/B tests
- Intensive Hands-on ML/AI experience
- Building applications with LLMs
- Model fine-tuning experience mandatory
- Python-based AI/ML pipeline design and implementation
- Hands-on experience with agent frameworks
- NLP fundamentals and speech-to-text integration experience
- Business-level English fluency required — daily collaboration with a global team
- True believer in AI. You're convinced AI can genuinely change how people work — and you want to build it
- Pipeline thinker. You see the full flow: collection → preprocessing → model → serving → monitoring
Language Python 3.11+
LLM GPT-5
- Claude
- Gemini
- LangGraph
- FastAPI
- Hugging Face Transformers
- Google Cloud STT
- Weaviate
- Weights & Biases
- Docker
역할 소개
프롬프트 엔지니어가 아닙니다. 녹취 → 전사 → 요약 → 코칭 리포트라는 엔드투엔드 AI 파이프라인을 설계하고 구축합니다. LLM 파인튜닝으로 도메인 특화 모델을 학습시키고, Multi-Agent 시스템을 아키텍팅합니다.
- 녹취 → 음성 전사 → 요약 → 코칭 리포트 자동 생성 파이프라인을 구축합니다
- ML/AI 실무 경력
- LLM 기반 애플리케이션 개발
- 모델 파인튜닝 경험 필수
- Python 기반 AI/ML 파이프라인 설계 및 구축 경험
- Agent 프레임워크 실무 경험
- NLP 기초와 음성 인식 서비스 연동 경험
- 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업
- AI의 가능성에 진심인 분. AI가 사람들의 일하는 방식을 실제로 바꿀 수 있다고 믿고, 그것을 직접 만드는 분입니다
- 파이프라인을 보는 분. 모델 하나가 아니라, 수집 → 전처리 → 모델 → 서빙 → 모니터링 전체를 설계하는 분입니다
- 실험을 즐기는 분. 가설 → 실험 → 측정 → 개선 사이클을 빠르게 돌리는 것이 즐거운 분입니다
- 도메인에 깊이 들어가는 분. 스타트업 인큐베이팅이라는 도메인을 이해하고, 거기에 맞는 AI를 설계하는 분입니다
Language Python 3.11+
LLM GPT-5
- Claude
- Gemini
- LangGraph
- FastAPI
- Hugging Face Transformers
STT Whisper
Language Python 3.11+
LLM GPT-5
Employment:
- Google Cloud STT
- Weaviate
- Weights & Biases
- Docker
Language Python 3.11+
LLM GPT-5
- Claude
- Gemini
- LangGraph
- FastAPI
- Hugging Face Transformers
- Google Cloud STT
- Weaviate
- Weights & Biases
- Docker
Employment:
- Working hours: Full-time 40 hours a week.
- Location: Remote - South Korea based or open to global applicants
- Contract: Fixed Term Contract