At a Glance
- Tasks: Design, build, and deploy cutting-edge ML and AI systems for real-world applications.
- Company: Join BP plc, a leader in energy innovation and sustainability.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic work environment await you.
- Why this job: Make a tangible impact by transitioning research into production-grade solutions.
- Qualifications: Experience in machine learning and collaboration with cross-disciplinary teams.
The predicted salary is between 70000 - 90000 £ per year.
BP plc in the United Kingdom (Sunbury) is seeking a Senior Machine Learning Engineer to design, build and deploy production-grade ML and AI systems. You will apply ML science to create scalable algorithms and models, transitioning research to production and delivering measurable value.
You will collaborate with data scientists, software/data engineers and domain experts in a cross-disciplinary team, following CI/CD, testing, monitoring practices, and mentoring junior colleagues.
Senior ML Engineer - Production-Grade AI Systems (Hybrid) in Sunbury employer: BP PLC
At Castrol, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Digital Portfolio Lead, you'll have the opportunity to drive impactful digital transformation initiatives while enjoying a flexible hybrid working model in vibrant locations like London or Pune. We are committed to your professional growth, providing competitive rewards and a supportive environment where diverse perspectives are valued, ensuring you can make a meaningful impact in your role.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Production-Grade AI Systems (Hybrid) in Sunbury
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like BP PLC!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BP PLC.
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We think you need these skills to ace Senior ML Engineer - Production-Grade AI Systems (Hybrid) in Sunbury
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BP PLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BP PLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at BP PLC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at BP PLC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
