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- Tasks: Build scalable ML tools and collaborate with a dynamic team on innovative projects.
- Company: Leading tech company focused on AR/VR solutions and cutting-edge research.
- Benefits: Competitive salary, flexible work options, and opportunities for continuous learning.
- Why this job: Join us to shape the future of technology and make a real impact in ML.
- Qualifications: 4+ years in Python and deep learning frameworks; strong problem-solving skills.
- Other info: Exciting environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities:
- Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage the company's powerful infrastructure (through e.g. source control, distributed compute clusters, data storage).
- Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly valued.
- Write clean, maintainable code, debug complex problems that span systems, prioritise ruthlessly and get things done with a high level of efficiency.
- Coordinate with a large set of internal infrastructure and tool teams across the lab and across the company to evaluate and integrate with existing systems.
- Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.
Requirements:
- Bachelor's degree in Computer Science or related field, or equivalent work experience.
- 4+ years industry experience with deep learning frameworks in Python, such as Pytorch or Tensorflow.
- 2+ years industry experience working with large, complex data sets for machine learning, including capture and annotation.
- Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems.
- Experience working with high performance or distributed compute solutions.
- Deployment and continuous integration experience.
Preferred Qualifications:
- Familiarity with Machine Learning for Audio, multimodal or DSP purposes.
- Experience writing scalable ML tooling/pipelines for use by researchers.
- Experience in Linux or Windows shell scripting.
- Ability to gather requirements and work closely with researchers to develop novel solutions.
- History of writing code to support the execution of research initiatives.
Top 3 must-have HARD skills:
- Python and infrastructure focused software engineers.
- PyTorch or similar AI/ML engines.
- Distributed infrastructure.
Good to have skills:
- Working with complex, real-world multimodal data.
- Audio collaboration with research users/customers to deliver robust and stable tooling to address their needs.
Experience: 4+ years of industry experience writing Python / ML code.
Story Behind the Need: Backfilling a role for an ML pipeline-focused software engineer, focusing on efficient and scalable infrastructure, and ML frameworks and tooling.
Machine Learning Engineer in Slough employer: Templeton & Partners - Innovative & Inclusive Hiring Solutions
Contact Detail:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning Engineers. 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 involving Python and ML frameworks like PyTorch or TensorFlow. 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 brushing up on your problem-solving skills. Be ready to discuss your experience with large datasets and how you've tackled complex issues in past roles. Practice coding challenges to keep your skills sharp!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic 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 in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML frameworks like PyTorch or TensorFlow. We want to see how your skills align with the responsibilities listed in the job description, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've debugged complex problems or worked with large datasets. We value efficiency and creativity, so let us know how you’ve tackled challenges in the past!
Apply Through Our Website: We encourage you to apply directly 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!
How to prepare for a job interview at Templeton & Partners - Innovative & Inclusive Hiring Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the deep learning frameworks like PyTorch or TensorFlow. Brush up on your knowledge of distributed infrastructure and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've debugged and how you approached them. Use specific examples that highlight your ability to prioritise tasks and get things done efficiently, especially in a collaborative environment.
✨Emphasise Teamwork and Communication
Since this role values collaboration, think of instances where you’ve worked closely with researchers or cross-functional teams. Be ready to discuss how you documented your work and communicated effectively to ensure everyone was on the same page.
✨Demonstrate Your Learning Mindset
Be prepared to share how you keep up with new technologies and tackle unfamiliar areas. Discuss any experiences where you embraced ambiguity in problem-solving, particularly in AR/VR contexts, to show your adaptability and eagerness to learn.
