At a Glance
- Tasks: Design and train RL agents for industrial energy systems while collaborating with academic partners.
- Company: Small AI company in London focused on innovative energy solutions.
- Benefits: Competitive salary of £80K–£110K, equity options, and hybrid work model.
- Other info: Opportunity to work in a dynamic environment with a focus on technical innovation.
- Why this job: Join a team making a real impact in energy efficiency through cutting-edge AI technology.
- Qualifications: 3-5 years experience in deploying RL agents using Python.
The predicted salary is between 80000 - 110000 £ per year.
Oliver Bernard is looking for an Applied ML Scientist to join a small AI company in London, focusing on industrial energy systems. You will design and train RL agents while collaborating with academic partners.
With a competitive salary of £80K–£110K and equity options, this hybrid role requires 3-5 years of experience in deploying RL agents in Python. The company values technical innovation and offers substantial energy savings for its clients.
Applied ML Scientist - Live RL for Industrial Energy Hybrid in London employer: Oliver Bernard
Join a dynamic and innovative AI company in London, where your expertise as an Applied ML Scientist will directly contribute to cutting-edge solutions in industrial energy systems. With a strong emphasis on collaboration and technical advancement, the company fosters a supportive work culture that encourages professional growth and offers competitive salaries alongside equity options. Experience the unique advantage of working in a vibrant city while making a meaningful impact on energy efficiency for clients.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Scientist - Live RL for Industrial Energy Hybrid in London
✨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 Oliver Bernard!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied ML Scientist - Live RL for Industrial Energy Hybrid at Oliver Bernard.
✨Leverage Professional Networks
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 Oliver Bernard.
✨Apply Directly through Our Website
When you find a suitable opening like Applied ML Scientist - Live RL for Industrial Energy Hybrid at Oliver Bernard, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Applied ML Scientist - Live RL for Industrial Energy Hybrid in London
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 Oliver Bernard, 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 Oliver Bernard. 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 Oliver Bernard
✨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 Oliver Bernard!
✨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.
