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- Tasks: Develop innovative machine learning algorithms and work with complex datasets.
- Company: Join an IoT innovator focused on sustainable technology and virtual energy infrastructure.
- Benefits: Enjoy hybrid work options, generous leave, competitive salary, and a car scheme.
- Why this job: Be part of a passionate team making a positive environmental impact while gaining valuable experience.
- Qualifications: MSc in a relevant field, strong Python skills, and a curious mindset are essential.
- Other info: This role requires an EU work permit and offers exposure to broader business operations.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a Machine Learning Research Engineer to join our Data Science and AI Team in Slough, UK. Our company is an IoT innovator focused on scaling product deployments across the UK and EU, developing technology to foster a sustainable future through Virtual Energy Infrastructure powered by advanced machine learning algorithms.
This role involves working with large, complex datasets to develop novel algorithms addressing various statistical, mathematical, and engineering challenges. You will collaborate in a highly innovative environment, designing new algorithm products from conception to deployment, considering practical, strategic, legal, and ethical factors.
The ideal candidate will possess strong software engineering skills, excellent machine learning proficiency, and a curious, eager mindset to learn across technical domains. You will work with a passionate, agile team to deliver impactful technology with positive environmental and social effects, gaining exposure to broader business operations.
Location: Hybrid in-office and remote work near Liverpool Street, London
Experience Level: 0-4 years
Qualifications:
- MSc/MSci in Mathematics, Computer Science, Physics, or related field
- Proficiency in Python and relevant ML libraries/frameworks
- Strong analytical and communication skills
- Experience with data cleaning, visualization, and analysis
- Ability to conduct autonomous research and develop scalable algorithms
- Enthusiasm for continuous learning
Advantageous: PhD in a quantitative field
Benefits: Generous leave, competitive salary, salary sacrifice car scheme, and excellent benefits
Note: This position requires an EU work permit.
Machine Learning Research Engineer (Slough) employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Engineer (Slough)
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and IoT technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the field by attending relevant meetups or conferences. Building connections can provide insights into the company culture and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Engage in personal projects that demonstrate your machine learning skills. Whether it's developing a novel algorithm or working on data visualisation, having tangible examples to discuss can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm design problems. Being well-prepared will help you feel more confident and capable of tackling the technical aspects of the role.
We think you need these skills to ace Machine Learning Research Engineer (Slough)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, software engineering, and data analysis. Emphasise any projects or roles where you've worked with large datasets or developed algorithms.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company’s mission. Discuss how your background aligns with their focus on sustainable technology and your eagerness to contribute to innovative projects.
Showcase Technical Skills: Clearly outline your proficiency in Python and any relevant ML libraries or frameworks. Provide examples of how you've applied these skills in previous projects or research to solve complex problems.
Highlight Continuous Learning: Mention any courses, certifications, or self-directed learning you've undertaken in machine learning or related fields. This shows your commitment to staying updated in a rapidly evolving industry.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any relevant machine learning libraries during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your hands-on experience and technical capability.
✨Demonstrate Problem-Solving Abilities
Since the role involves tackling complex datasets and developing novel algorithms, be ready to discuss how you've approached similar challenges in the past. Use examples that showcase your analytical thinking and ability to devise innovative solutions.
✨Emphasise Continuous Learning
The ideal candidate is someone who is eager to learn across technical domains. Share instances where you've pursued additional knowledge or skills, whether through formal education, online courses, or personal projects, to show your commitment to growth in the field.
✨Understand the Company’s Mission
Familiarise yourself with the company's focus on sustainable technology and Virtual Energy Infrastructure. Being able to articulate how your values align with their mission can set you apart and demonstrate your genuine interest in contributing to their goals.
