At a Glance
- Tasks: Design and develop AI-driven safety systems for the construction industry using machine learning.
- Company: City, University of London - a global leader in academic excellence.
- Benefits: Competitive salary, pension scheme, and comprehensive training opportunities.
- Other info: Inclusive culture with a commitment to diversity and excellent career growth.
- Why this job: Join a cutting-edge project that makes a real impact on construction safety.
- Qualifications: Masters or PhD in Computer Science, programming skills in Python, and knowledge of Semantic Web technologies.
The predicted salary is between 50000 - 60000 £ per year.
Founded in 1894, City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location. City attracts around 20,000 students (over 40% at postgraduate level), from more than 150 countries and staff from over 75 countries. In the last decade City has almost tripled the proportion of its total academic staff producing world-leading or internationally excellent research. During this period City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realising its vision of being a leading global university. The culture at City is built on our shared core values, which means that all employees are expected to behave according to our values: "We care, We learn, We act."
Background
We seek to appoint a Software Engineer (SE) on a full-time basis for 4 months with an option to extend for 3 months (subject to approval). This role is part of a UK/Singapore project funded by InnovateUK: Safety with Sensor AI and Network Environments for the Construction Industry (Saine-CI), led by Dr Tillman Weyde in collaboration with AITIS Ltd and Iknaia Ltd. The task is to design, develop and evaluate AI driven construction safety systems, that use knowledge graphs in connection with machine learning models applied to camera and sensor data.
Responsibilities
This role is about the design, implementation and evaluation of methods for knowledge based evaluation of machine learning applied to video, audio and other data from construction sites. These methods knowledge representations in OWL and RDF, and practical application evaluation in live environments.
Person Specification
The candidate should have a Masters or PhD in Computer Science or a related subject. Programming skills in Python and experience with Semantic Web technologies as well as some knowledge of logic and knowledge representations required. A combination of these skills as well as a passion for developing AI and knowledge based technology would be ideal.
Additional Information
City offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development. Closing date: 1st May 2024 at 11:59pm. City, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors. We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. City operates a guaranteed interview scheme for disabled applicants.
Machine Learning Engineer employer: City, University of London
City, University of London is an exceptional employer that fosters a culture of academic excellence and innovation in the heart of central London. With a commitment to employee development, City offers a sector-leading salary, comprehensive training packages, and a diverse work environment that values equality and inclusion. Joining City means being part of a forward-thinking institution that not only prioritises research and professional growth but also actively contributes to meaningful projects that impact the construction industry through cutting-edge AI technology.
Contact Details:
City, University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who align with our values. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant skills like Python programming and experience with Semantic Web technologies. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and knowledge-based technology. Share specific examples of your work that relate to the responsibilities mentioned in the job description.
Showcase Your Projects:If you've worked on any projects related to machine learning or construction safety systems, make sure to mention them! 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 smooth application process. It’s the best way to ensure your application gets to us directly, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at City, University of London
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those related to knowledge graphs and semantic web technologies. Be ready to discuss your previous projects and how they relate to the role at City, University of London.
✨Show Your Passion
Demonstrate your enthusiasm for AI and knowledge-based technology during the interview. Share examples of how you've applied these technologies in real-world scenarios, and express your eagerness to contribute to the innovative projects at City.
✨Prepare for Technical Questions
Expect technical questions that assess your programming skills in Python and your understanding of logic and knowledge representations. Practise coding problems and be ready to explain your thought process clearly.
✨Align with Their Values
Familiarise yourself with City’s core values: 'We care, We learn, We act.' Think of examples from your past experiences that reflect these values and be prepared to discuss how you embody them in your work.
