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- Tasks: Design and optimise AI/ML models while collaborating on innovative projects.
- Company: Exciting tech start-up at the forefront of AI innovation.
- Benefits: Competitive salary, mentorship, and career progression opportunities.
- Why this job: Make a real impact in AI technology from day one.
- Qualifications: Master’s or PhD in relevant fields and strong programming skills.
- Other info: Join a dynamic team where your ideas truly matter.
The predicted salary is between 35000 - 45000 ÂŁ per year.
This range is provided by Intellect Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Location: London (Hybrid)
Salary: Up to ÂŁ70,000 + Equity
Start Date: ASAP
About the Opportunity:
We are seeking an ambitious and intellectually curious Junior AI Engineer / Developer to join a fast‑growing company operating at the forefront of AI compliance, governance, and risk management.
This is an excellent opportunity for a recent Master’s graduate from a top‑tier university who is eager to apply their academic and project experience to building real‑world AI systems that are safe, compliant, and trustworthy.
You’ll work closely with experienced AI engineers, data scientists, and product specialists to design, build, and deploy AI and LLM‑driven applications on AWS that help organisations comply with emerging AI regulations, including model risk, auditability, and responsible AI practices.
What You’ll Be Doing:
- Designing, developing, and deploying machine learning and AI models used in compliance and risk workflows on AWS
- Building LLM applications (e.g. GPT, LLaMA, Claude) that automate policy checks, documentation, and audit trails
- Implementing end-to-end AI workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring
- Developing scalable pipelines and APIs for AI services using AWS‑native infrastructure (e.g. Lambda, ECS/EKS, S3, API Gateway, Step Functions, SageMaker/Bedrock)
- Building and maintaining TypeScript‑based services and UIs that integrate with Python AI backends and compliance tooling
- Embedding guardrails, monitoring, and logging into AI systems to support transparency, explainability, and regulatory requirements
- Collaborating with engineers, product, and compliance experts to deliver robust, production‑ready solutions for regulated industries (e.g. finance, healthcare, enterprise SaaS)
- Contributing to internal R&D on AI safety, evaluation, and governance, and staying current with advancements in AI and AI regulation
What We’re Looking For:
- A recently completed Master’s degree from a top‑tier university (e.g. Oxbridge, Imperial, UCL, or other leading Russell Group) in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline
- Demonstrated project experience (academic research, dissertation work, internships, or personal projects) applying machine learning or AI techniques
- Strong programming skills in Python and TypeScript (this is essential)
- Experience with common Python data/ML libraries (e.g. PyTorch, TensorFlow, scikit‑learn, pandas, NumPy)
- Experience building or contributing to TypeScript codebases (e.g. Node.js backends, React frontends, or internal tools)
- Hands‑on exposure to AWS (e.g. EC2, S3, IAM; bonus points for Lambda, ECS/EKS, SageMaker, or Bedrock)
- Familiarity with LLM frameworks and tooling (e.g. LangChain, vector databases, RAG pipelines) is highly advantageous
- Genuine interest in AI compliance, governance, and emerging regulation (e.g. EU AI Act, model risk, responsible AI)
- Strong problem‑solving mindset with a passion for building practical, scalable AI solutions
- Excellent teamwork and communication skills, comfortable working in a fast‑paced start‑up environment
- Full right to work in the UK (we are unable to offer visa sponsorship for this role)
Competitive Salary & Equity: Up to ÂŁ70,000 + meaningful equity participation
Hybrid Working: Modern central London office with flexibility to work remotely
Career Growth: Direct mentorship from senior AI engineers and founders, clear progression in a high‑growth AI compliance company
Modern Tech Stack on AWS: Work with cutting‑edge LLMs, MLOps tooling, Python, TypeScript, and an AWS‑native cloud stack
Collaborative Culture: Join a supportive, mission‑driven team passionate about safe and responsible AI
Additional Perks: Pension scheme, private healthcare, regular team events, and wellbeing initiatives
How to Apply:
If you’re excited by the chance to apply your academic and project work to real‑world AI compliance challenges on AWS, please send us your CV. A member of our team will reach out quickly to discuss the next steps.
Seniority level
- Associate
Employment type
- Full‑time
Job function
- Science and Engineering
Industries
- Technology, Information and Media
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London, England, United Kingdom 2 weeks ago
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Graduate AI Engineer employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or attend tech meetups. Building connections can lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your personal AI/ML projects or contributions on GitHub. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for fresh talent, and applying directly can give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Graduate AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Graduate AI Engineer role. Highlight relevant projects, skills, and experiences that align with what we’re looking for. This shows us you’re genuinely interested and have the right background!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your academic journey has prepared you for this role. Keep it engaging and personal – we want to get to know you!
Showcase Your Projects: If you’ve worked on any personal AI/ML projects or contributed to GitHub, make sure to mention them in your application. We love seeing practical applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Intellect Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss your academic projects or any personal AI/ML work you've done, as this will show your passion and expertise.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach designing and optimising AI models for real-world applications, and be ready to explain your thought process clearly.
✨Familiarise Yourself with the Company
Research the tech start-up and understand their mission and the projects they’re working on. This will help you tailor your answers and demonstrate that you're genuinely interested in contributing to their innovative solutions.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the types of projects you'll be working on, or how they support career development. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
