At a Glance
- Tasks: Design and deploy machine learning models while collaborating with data scientists.
- Company: Join Intellect Group, connecting you with top tech and AI-first companies.
- Benefits: Competitive salary, hybrid work options, and clear career progression.
- Other info: Opportunities for growth and exposure to cutting-edge technologies.
- Why this job: Make a real impact in fast-paced environments from day one.
- Qualifications: Degree in ML or related field, strong Python skills, and enthusiasm for ML.
The predicted salary is between 35000 - 45000 £ per year.
Intellect Group is actively recruiting Graduate Machine Learning Engineers on behalf of high-growth technology and AI-first companies across the UK. If you've recently completed a degree in ML, Computer Science, or a related field and want to build real-world machine learning systems from day one, we want to hear from you.
We work with a range of exciting clients — from funded AI startups to established tech businesses — who are hiring junior ML talent right now. This is your chance to get in early, grow fast, and work on problems that matter.
What You'll Be Doing
- Designing, building, and deploying machine learning models into production environments
- Working with LLMs, NLP, and deep learning frameworks to solve real business problems
- Collaborating with data scientists and engineers to develop end-to-end ML pipelines
- Experimenting with model fine-tuning, RAG, and prompt engineering techniques
- Contributing to model evaluation, testing, and continuous improvement
- Staying current with the latest ML research and translating it into practical applications
What We're Looking For
- A degree (or Master's) in Machine Learning, Computer Science, Mathematics, or a related discipline
- Strong Python skills and familiarity with ML frameworks such as PyTorch, TensorFlow, or Hugging Face
- Understanding of core ML concepts: neural networks, transformers, classification, regression, and model evaluation
- Some exposure to LLMs, generative AI, or NLP — whether through coursework, projects, or personal work
- Curiosity, a problem-solving mindset, and genuine enthusiasm for ML
- Strong communication skills — you can explain what you've built and why it matters
Bonus Points For
- Experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with vector databases, embeddings, or RAG pipelines
- Any open-source contributions, Kaggle competitions, or personal ML projects
- Exposure to MLOps tools and deployment workflows (Docker, FastAPI, etc.)
What's on Offer
- ~£35,000 – £45,000 base salary depending on experience
- ~ Roles across London and hybrid-friendly companies
- ~ Fast-moving environments where your work has real impact from the start
- ~ Clear career progression into mid-level and senior ML engineering roles
Machine Learning Engineer - Fully Remote employer: Intellect Group
Intellect Group is an exceptional employer for aspiring Machine Learning Engineers, offering a dynamic and supportive work culture that prioritises innovation and collaboration. With opportunities to work on impactful projects for high-growth technology and AI-first companies, employees benefit from clear career progression, competitive salaries, and the flexibility of hybrid working arrangements in London. Join us to kickstart your career in a fast-paced environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Fully Remote
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Intellect Group when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Intellect Group.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Intellect Group.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Intellect Group’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Machine Learning Engineer - Fully Remote
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Intellect Group, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Intellect Group aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Intellect Group
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
