Remote AI/ML Engineer in Blackpool

Remote AI/ML Engineer in Blackpool

Blackpool Full-Time 80000 - 100000 ยฃ / year (est.) Working from home possible
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At a Glance

  • Tasks: Design and build end-to-end AI pipelines for innovative EdTech solutions.
  • Company: Join DOHE, a global leader in EdTech innovation.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on startup incubation.
  • Why this job: Be part of a mission to transform education through cutting-edge AI technology.
  • Qualifications: Hands-on ML/AI experience and proficiency in Python required.

The predicted salary is between 80000 - 100000 ยฃ per year.

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 โ€” while we take care of the technology that drives it.

In This Role, You'll:

  • Build the end-to-end pipeline: recording โ†’ transcription โ†’ summarization โ†’ 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

We're Looking For Someone With:

  • 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 โ€” daily collaboration with a global team

You Might Thrive In This Role If You:

  • True believer in AI. You're convinced AI can genuinely change how people work โ€” and you want to build it.
  • Pipeline thinker. You see the full flow: collection โ†’ preprocessing โ†’ model โ†’ serving โ†’ monitoring.
  • Experiment-driven. You thrive on rapid hypothesis โ†’ experiment โ†’ measure โ†’ improve cycles.
  • Domain-deep. You want to understand startup incubation deeply and design AI tailored to it.

Tech Stack:

  • Language: Python 3.11+
  • LLM: GPT-5, Claude, Gemini
  • Framework: LangChain, LangGraph, FastAPI
  • ML: PyTorch, Hugging Face Transformers
  • STT: Whisper, Google Cloud STT
  • Vector DB: Pinecone, Weaviate
  • MLOps: MLflow, Weights & Biases
  • Infra: AWS SageMaker / GCP Vertex AI, Docker

Employment:

  • Working hours: Full-time 40 hours a week.
  • Location: Remote - South Korea based or open to global applicants
  • Contract: Fixed Term Contract

Remote AI/ML Engineer in Blackpool employer: DOHE Europe LTD

At DOHE, we pride ourselves on being a forward-thinking employer that champions innovation in the EdTech sector. Our remote AI/ML Engineer role offers the unique opportunity to work within a dynamic global team dedicated to transforming education through technology, while enjoying a supportive work culture that fosters collaboration and personal growth. With tailored coaching and strategic support for your career development, you will be empowered to make a meaningful impact in the world of education.

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Contact Details:

DOHE Europe LTD Recruitment Team

StudySmarter Expert Advice๐Ÿคซ

We think this is how you could land Remote AI/ML Engineer in Blackpool

โœจGet Involved in Data Science Meetups

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โœจShow Off Your Projects

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like DOHE Europe LTD.

โœจApply Directly through Our Website

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We think you need these skills to ace Remote AI/ML Engineer in Blackpool

Hands-on ML/AI experience
Building applications with LLMs
Model fine-tuning
Python-based AI/ML pipeline design and implementation
Experience with agent frameworks
NLP fundamentals
Speech-to-text integration

Some tips for your application ๐Ÿซก

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Donโ€™t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at DOHE Europe LTD, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why youโ€™re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DOHE Europe LTD. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at DOHE Europe LTD

โœจBrush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

โœจShowcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, itโ€™ll really make us stand out!

โœจGet Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DOHE Europe LTD!

โœจPrepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how weโ€™d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.

ยฉ StudySmarter