At a Glance
- Tasks: Analyse AI platforms, evaluate data quality, and design assurance strategies.
- Company: London Success Academy, a globally recognised institution for future-ready leaders.
- Benefits: Gain an official UK Experience Certificate and hands-on portfolio projects.
- Other info: Flexible schedule, networking opportunities, and potential for increased interview offers.
- Why this job: Jumpstart your career in AI with expert mentorship and real-world exposure.
- Qualifications: Interest in AI/ML, data analysis, and strong communication skills.
Launch Your UK Career: AI/ML Assurance Analyst Work Placement at London Success Academy (Remote) (10 Positions)
Location: Remote | Duration: 4 Weeks | Start Dates: June 2026
Limited Spots – Apply Now to Secure Your Place!
Are you ready to jumpstart your career in AI, data, and analytics? Gain real-world exposure, expert mentorship, and an official UK Experience Certificate while working on AI/ML-driven business platforms. London Success Academy (LSA) is offering a structured 4-week Expert-led, unpaid Work Placement designed to equip aspiring professionals with practical skills in AI assurance, data quality analysis, and model risk evaluation aligned with UK industry expectations.
About LSA
London Success Academy is a globally recognised institution transforming professionals into future-ready leaders. Led by Success Coach Nilesh (bestselling author and strategist with 23+ years of corporate expertise), we empower individuals across 15+ industries and 23+ nationalities through elite mentorship and hands-on learning.
About the Work Placement
This Work Placement is designed for candidates who want hands-on exposure to evaluating AI/ML-driven business platforms. Interns will work on a simulated industry case inspired by a real-world ESG and analytics platform, focusing on AI assurance, data quality, and model trust rather than model development. This role reflects how AI systems are evaluated in regulated business environments such as finance and ESG.
What You Will Work On
- Analyse an end-to-end AI-enabled platform used for business decision-making
- Evaluate data quality risks and define validation strategies
- Assess ML model behaviour from a black-box, business-risk perspective
- Identify scenarios where AI outputs should or should not be trusted
- Design testing and assurance strategies aligned to real-world business use
- Produce a professional case study suitable for interviews and portfolios
What You Will Learn
- How AI/ML systems are tested in real companies
- How to think about model risk, bias, and drift without access to internals
- How data quality impacts AI reliability
- How to communicate AI risks to non-technical stakeholders
- How to structure interview-ready case studies for UK roles
Skills & Background (Any of the following)
- Software testing / QA fundamentals
- Data analysis or data quality awareness
- Business analysis or risk thinking
- Interest in AI, ML, ESG, or data-driven systems
- Strong written communication skills
Work Placement Structure
- 4 weeks, individual mini projects
- Weekly mentor-led group sessions
- Continuous feedback
- Final capstone case study (PDF)
What You'll Gain
- Official UK Experience Certificate in Data Engineering
- Hands-on portfolio projects (e.g., ETL pipelines, dashboards, data transformation workflows)
- Direct mentorship from Data Engineering experts and Success Coach Nilesh
- Career guidance and networking opportunities with UK data professionals
- Letter of Recommendation for top performers
- Flexible schedule to balance commitments
Program Details:
- You'll gain hands-on experience, receive personalised mentorship from industry experts, and earn an official certification upon completion.
- The program is designed to provide real UK industry exposure through structured learning, live projects, and guided assignments.
- We are seeking committed professionals who will improve their skills with real industry projects and assignments. You will not be asked to work for the company.
- Please note that this is an expert-led, short-term work experience placement. Our past interns have received an increased number of interview offers.
AI & Machine Learning (Work Placement) employer: London Success Academy
London Success Academy is an exceptional employer that offers aspiring professionals a unique opportunity to gain hands-on experience in AI and machine learning through a structured work placement. With expert mentorship from industry leaders and a focus on real-world applications, interns will not only enhance their skills but also receive an official UK Experience Certificate, making this a valuable stepping stone for future career success. The supportive and collaborative work culture fosters personal growth and networking opportunities, ensuring that every participant leaves with a robust portfolio and increased employability.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Machine Learning (Work Placement)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space on LinkedIn or through our website. A friendly message can go a long way, and you never know who might help you land that dream placement.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI assurance and data quality. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights any relevant projects or case studies you've worked on. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 4
Don’t hesitate to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals ready to dive into the world of AI and ML.
We think you need these skills to ace AI & Machine Learning (Work Placement)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight your skills and experiences that align with the AI/ML Assurance Analyst role. We want to see how your background fits into what we do at London Success Academy!
Show Your Passion for AI/ML:Let us know why you're excited about AI and machine learning! Share any relevant projects or experiences that showcase your enthusiasm and understanding of the field. This will help us see your genuine interest in the work placement.
Keep It Professional Yet Personal:While we love a friendly tone, remember to maintain professionalism in your written application. Use clear language and structure your thoughts well, so we can easily understand your qualifications and motivations.
Apply Through Our Website:Don’t forget to submit your application through our website! This ensures that we receive all your details correctly and helps us keep track of your application. Plus, it’s super easy to do!
How to prepare for a job interview at London Success Academy
✨Know Your AI Basics
Before the interview, brush up on your understanding of AI and machine learning concepts. Familiarise yourself with key terms like data quality, model risk, and assurance strategies. This will help you speak confidently about the role and demonstrate your genuine interest in the field.
✨Prepare Real-World Examples
Think of specific instances where you've applied relevant skills, whether through coursework or personal projects. Be ready to discuss how you approached data analysis or tackled a problem related to AI/ML. This will show your practical understanding and readiness for the work placement.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the work placement, such as the types of projects you'll be involved in or how mentorship is structured. This not only shows your enthusiasm but also helps you gauge if the opportunity aligns with your career goals.
✨Showcase Your Communication Skills
Since you'll need to communicate AI risks to non-technical stakeholders, practice explaining complex concepts in simple terms. During the interview, focus on clear and concise communication to demonstrate your ability to bridge the gap between technical and non-technical audiences.
