At a Glance
- Tasks: Join us as a Machine Learning Engineer and tackle exciting projects with cutting-edge technology.
- Company: Leeds Beckett University is a forward-thinking institution dedicated to innovation and professional development.
- Benefits: Enjoy a £5,500 budget for your professional growth, flexible working, and generous holiday entitlements.
- Why this job: Fast-track your career with KTP, gain senior experience, and study for a fully funded higher degree.
- Qualifications: A Bachelor's degree (2.1 or higher) in a relevant field is required; higher qualifications preferred.
- Other info: Applications are encouraged from all backgrounds, especially under-represented groups.
The predicted salary is between 36000 - 60000 £ per year.
We encourage applications from a graduate with a good first degree in computing or relevant, professional experience and certification in software development and machine learning.
Excellent project management skills, proactive problem-solving abilities, strong interpersonal skills with the ability to engage and influence multiple stakeholders are all qualities which the successful candidate should bring.
Have you heard of KTP ? It is probably one of the best kept secrets. The KTP scheme offers you an invaluable way to fast-track your career development and it includes a substantial budget of £5,500 ringfenced for YOU to spend on YOUR professional development. Around 70% of our KTP project leaders end up being offered permanent roles within the business at the end of the project, allowing you to continue climbing the career ladder and becoming an industry leader of tomorrow.
Leeds Beckett University also offer all of our KTP project leaders the opportunity to study for a FULLY FUNDED higher degree, so if you want to add to your educational profile, this would be the perfect opportunity.
You will work alongside an engaged and forward-thinking leadership team, and a team of highly regarded academics from Leeds Beckett University, gaining wide-ranging and senior level experience.
We need an enthusiastic, self-motivated person bringing not only a Bachelor’s degree (2.1 or higher) in Marketing, Business Management, Leadership or Human Resource Management (or similar). Preference will be given to an associate who also has a higher level professional or academic qualification in a related area e.g. Chartered Institute of Marketing Diploma, Strategic Marketing, Human Resource Management.
To arrange an informal discussion about this post, please contact Rosi Newman at r.j.newman@leedsbeckett.ac.uk .
The project provides dedicated budgets to support training and development (£2k pa) alongside opportunities to access the university’s pension scheme, staff benefits and discounts, staff training and development programmes as well as high level support from expert Leeds Beckett academics. The university also offers candidates the opportunity to study for a higher degree (MRes, MPhil or PhD) with a fee waiver in place.
There is a travel and subsistence budget included in the project.
Closing date: Monday 3rd March 2025 (23:59)
To apply for this role, please select ‘Apply online’ below and complete the short application form. Please also attach an update to CV and a covering letter of no more than two sides of A4 paper outlining how your education, skills and experience make you suitable for this role – where possible please address the specific requirements of the role as per the Employee Specification and outline your own suitability with relevant examples.
We ask you not to use an AI assistant model such as Chat GPT to generate your CV or cover letter.
Working here means you’ll also have access to a wide range of benefits including our generous pension schemes, excellent holiday entitlements, flexible working, reduced study fees, subsidised fitness facilities and a lot more.
We welcome applications from all individuals and particularly from black and global majority candidates as members of these groups are currently under-represented at this level of post. All appointments will be based on merit.
Machine Learning Engineer (Fixed term 33 months) employer: Leeds Beckett University
Contact Detail:
Leeds Beckett University Recruiting Team
r.j.newman@leedsbeckett.ac.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Fixed term 33 months)
✨Tip Number 1
Familiarize yourself with the KTP scheme and its benefits. Understanding how this program can fast-track your career development will not only help you in interviews but also show your genuine interest in the role.
✨Tip Number 2
Highlight your project management skills during discussions. Be prepared to share specific examples of how you've successfully managed projects, as this is a key quality they are looking for.
✨Tip Number 3
Engage with current or former KTP project leaders if possible. Networking with them can provide insights into the role and the organization, which can be invaluable during your application process.
✨Tip Number 4
Prepare for an informal discussion with Rosi Newman. This is a great opportunity to ask questions and demonstrate your enthusiasm for the position, so make sure to have thoughtful questions ready.
We think you need these skills to ace Machine Learning Engineer (Fixed term 33 months)
Some tips for your application 🫡
Understand the Role: Make sure you thoroughly understand the job description and the specific requirements outlined. Highlight your relevant skills and experiences that align with the role of a Machine Learning Engineer.
Tailor Your Cover Letter: Craft a compelling cover letter that addresses the specific requirements mentioned in the job description. Use relevant examples from your education or professional experience to demonstrate how you meet these criteria.
Update Your CV: Ensure your CV is up-to-date and clearly showcases your qualifications, skills, and experiences related to machine learning and software development. Keep it concise and relevant to the position.
Follow Application Instructions: Pay close attention to the application instructions provided. Make sure to complete the short application form and attach your updated CV and cover letter as specified before submitting your application.
How to prepare for a job interview at Leeds Beckett University
✨Showcase Your Technical Skills
Make sure to highlight your experience in software development and machine learning during the interview. Be prepared to discuss specific projects you've worked on, the technologies you used, and the outcomes of those projects.
✨Demonstrate Project Management Abilities
Since excellent project management skills are essential for this role, come prepared with examples of how you've successfully managed projects in the past. Discuss your approach to problem-solving and how you engage with stakeholders.
✨Engage with the Interviewers
Strong interpersonal skills are crucial. Make an effort to connect with the interviewers by asking insightful questions about the team and the KTP scheme. This shows your enthusiasm and willingness to engage with multiple stakeholders.
✨Tailor Your Application Materials
Before the interview, ensure your CV and cover letter specifically address the requirements outlined in the job description. Use relevant examples from your education and experience to demonstrate your suitability for the role.