At a Glance
- Tasks: Join our team to optimise ML tools and enhance the MLOps pipeline.
- Company: Exciting tech company based in Oxford with a focus on innovation.
- Benefits: Competitive salary up to £75K, hybrid working, and career growth opportunities.
- Other info: Enjoy a dynamic work environment with flexible onsite options.
- Why this job: Be at the forefront of machine learning and make a real difference.
- Qualifications: Experience in programming (C++ or Java) and a background in DevOps.
The predicted salary is between 75000 - 75000 € per year.
Understanding of how ML tools fit into the MLOps pipeline.
Tech stack
- Infrastructure
- DevOps
- C
Desirable:
- Programming experience – ideally C++ or Java
- Background in DevOps – CI systems, Infrastructure-as-code
Location – Oxford (Hybrid working 2 days a week onsite)
Compensation up to £75K
Role type Full time
Visa sponsorship Not provided
MLOps Engineer in Oxford - OxSource employer: OxSource
OxSource is an exceptional employer that fosters a collaborative and innovative work culture, ideal for MLOps Engineers looking to make a significant impact in the field of machine learning. Located in the vibrant city of Oxford, employees benefit from a hybrid working model that promotes work-life balance, alongside opportunities for professional growth and development within a supportive team environment. With competitive compensation and a focus on cutting-edge technology, OxSource stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer in Oxford - OxSource
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps community on LinkedIn or local meetups. 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 MLOps projects, especially if you've worked with CI systems or Infrastructure-as-code. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of the tech stack mentioned in the job description, like C++ or Java. Practising common interview questions related to MLOps can really set you apart.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for the MLOps Engineer role. Plus, it shows you're serious about joining our team!
We think you need these skills to ace MLOps Engineer in Oxford - OxSource
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with MLOps and the tech stack mentioned in the job description. We want to see how your skills in C, Java, and DevOps fit into our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about MLOps and how you can contribute to our team. Keep it engaging and relevant to the role.
Showcase Your Projects:If you've worked on any projects related to MLOps or the technologies we use, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people!
How to prepare for a job interview at OxSource
✨Know Your MLOps Pipeline
Make sure you understand how ML tools integrate into the MLOps pipeline. Brush up on your knowledge of CI systems and Infrastructure-as-code, as these are crucial for the role. Being able to discuss specific tools and their applications will impress the interviewers.
✨Showcase Your Programming Skills
Since programming experience in C++ or Java is ideal, be prepared to discuss your past projects or any relevant coding challenges you've tackled. We recommend having a couple of examples ready that highlight your problem-solving skills and technical expertise.
✨Familiarise Yourself with DevOps Practices
Understanding DevOps principles is key for this position. We suggest reviewing common practices and tools used in the industry. Be ready to explain how you've applied these in previous roles or projects, as it shows your practical experience.
✨Prepare for Hybrid Working Questions
As this role involves hybrid working, think about how you manage your time and productivity when working remotely. We advise preparing examples of how you've successfully collaborated with teams in a hybrid environment, as this will demonstrate your adaptability.
