At a Glance
- Tasks: Design and develop AI-driven safety systems for the construction industry using cutting-edge technology.
- Company: City, University of London - a global leader in academic excellence and innovation.
- Benefits: Competitive salary, pension scheme, and comprehensive training and development opportunities.
- Other info: Inclusive culture promoting diversity and equality; guaranteed interview scheme for disabled applicants.
- Why this job: Join a pioneering project that makes a real impact on construction safety with AI.
- 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 include 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 are 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 benefits, and a supportive environment that values diversity and inclusion. As part of a dynamic team working on cutting-edge AI projects, employees have the opportunity to grow professionally while contributing to meaningful advancements in construction safety 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 or webinars, 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 gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. 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 your programming skills in Python and any experience with Semantic Web technologies. We want to see how your background fits with our project goals!
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. We love seeing enthusiasm, so let us know what excites you about this role and how you can contribute.
Showcase Relevant Projects:If you've worked on projects related to machine learning or knowledge graphs, make sure to mention them! We’re interested in practical applications, so share any experiences that demonstrate your skills and creativity.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at City, University of London
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning concepts, especially those related to video and audio data. Familiarise yourself with OWL and RDF as well, since these are crucial for the role. Being able to discuss these topics confidently will show that you're serious about the position.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, particularly those involving AI and knowledge-based technologies. Bring examples of your work, whether it's code snippets or project outcomes, to demonstrate your skills and passion for the field.
✨Align with Their Values
City, University of London values 'We care, We learn, We act.' Think about how your personal values align with these and be ready to share examples from your past experiences that reflect this alignment. This will help you connect with the interviewers on a deeper level.
✨Ask Smart Questions
Prepare thoughtful questions about the project and the team you'll be working with. Inquire about the challenges they face in implementing AI in construction safety systems. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
