At a Glance
- Tasks: Develop an open-source AI platform predicting outcomes in criminal justice and supply chains.
- Company: Collaborative project between Aston University and Modular Data Ltd.
- Benefits: £2,000 annual training budget, 25 days leave, and professional mentorship.
- Other info: Remote work with occasional travel to London and Birmingham for meetings and training.
- Why this job: Join the forefront of applied AI with real-world impact and career growth.
- Qualifications: Masters in Computer Science or related field, strong AI focus required.
The predicted salary is between 60000 - 80000 £ per year.
Overview
This exciting Knowledge Transfer Partnership (KTP) project between Aston University and Modular Data Ltd will build an open‑source platform that uses AI tools to predict outcomes such as reoffending rates and to improve supply chains.
Day‑to‑day responsibility for developing the platform core and reusable ‘domain packs’, working with Modular Data’s team and Aston University academic supervisors.
- What You’ll Gain
- Work at the forefront of applied AI, building a major open‑source platform with real‑world impact in criminal justice, public safety and supply chain sectors.
- Design, deliver and launch production‑grade AI systems under the guidance of leading Aston University experts.
- Lead technical innovation, publish joint research and help set new industry standards in secure and ethical AI.
- Access to a personal development/training budget of £2,000 a year to build further skills relevant to your future career.
- Location
Based predominantly remotely as Modular Data operates as a virtual company.
Required to attend regular monthly meetings in central London (most likely Tech UK HQ) and travel for training and occasional visits to Aston University (central Birmingham).
Some travel to other sites and training may also be required.
Minimum Requirements
Minimum Masters degree in Computer Science, Data Science or related subject, with a strong focus on AI / Data Analytics.
What We’re Looking For
Essential skills
- Proficiency in multimodal data analytics, predictive modelling and human‑in‑the‑loop AI.
- Demonstrable experience with cloud platforms and microservices architecture for multi‑cloud systems.
- Knowledge of and demonstrable experience in secure data access in complex cloud architectures, knowledge graphs and semantic reasoning.
- Extensive knowledge and practical experience in advanced machine learning models (e. g. deep learning) within the context of cross‑modal pattern detection and predictive analytics (e. g. risk scoring).
- Programming experience in Python, Go and/or Java, with familiarity in Scikit‑image, Tensor Flow or Py Torch.
- Feature extraction skills relevant to AI model development, RAG architectures and human‑in‑the‑loop approaches.
- Strong problem‑solving ability and adaptability for complex challenges in data governance and AI safety.
- Clear communicator with both technical and non‑technical stakeholders in academia and industry.
- Proactive approach to learning and use of professional development resources.
- Analytical thinker, able to develop and explain robust technical solutions.
Desirable skills
- Knowledge of open‑source software development and modular frameworks.
- Certification in ethical AI or cloud architecture.
- Experience in open‑source deployment across multiple cloud environments.
- Commitment to societal impact and high standards in ethical data practices.
- Ph D in a relevant area.
- Proficient in technical writing and reporting to multiple stakeholders and audiences.
Benefits
- £2000 per annum for personal and professional development for the duration of the project.
- Annual leave (25 days per annum).
- Professional support and mentorship.
• Mental health and wellbeing support
Career Prospects
KTP Associates lead strategic projects, bridging the academic and business worlds, which can enhance and fast‑track their career.
You will also benefit from expert coaching and mentoring. 60% of KTP associates are offered employment by their host companies at the end of the KTP.
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AI Platform Engineer - KTP Associate employer: Aston University
Aston University is an exceptional employer, offering a vibrant work environment in the heart of Birmingham with excellent transport links. Employees benefit from generous annual leave, comprehensive training and development opportunities, and a strong commitment to equality and diversity, fostering an inclusive culture where everyone can thrive. With access to on-site facilities like a gym and pool, as well as family-friendly policies, Aston University prioritises employee well-being and professional growth, making it an ideal place for those looking to make a meaningful impact in transnational education.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer - KTP Associate
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Aston University.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Aston University a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Aston University.
We think you need these skills to ace AI Platform Engineer - KTP Associate
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at Aston University
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to Aston University. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Aston University specifically. Let your motivation shine through!
