At a Glance
- Tasks: Design and deliver secure digital solutions using AI and machine learning.
- Company: Join a leading firm in the defence sector with a focus on innovation.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Work on-site 2 days a week and gain SC clearance.
- Why this job: Make a real impact in a secure environment while working with cutting-edge technology.
- Qualifications: Hands-on experience with AI, machine learning, and large datasets required.
The predicted salary is between 60000 - 80000 £ per year.
Salary: £? - ? per year
Requirements:
- Strong hands-on AI engineering experience building LLMs and SLMs.
- Experience working with machine learning.
- Experience with graph databases.
- Experience with RAG and Microsoft Graph Retrieval.
- Experience working with geospatial data and large datasets.
- Ideally experience with datasets of over 100,000 objects with complex metadata and characteristics.
- Due to the nature of the work, candidates must be sole British nationals.
- Candidates must be prepared to go through SC clearance.
- Candidates must be prepared to work on site 2 days a week.
Responsibilities:
- Collaborate with our clients Technical Lead, Engineers, and Architects to design secure digital solutions.
- Build and deliver secure digital solutions in highly secure environments.
Technologies: AI Machine Learning
Position Overview: We are looking for an AI Engineer / Data Scientist to work with one of our clients in the defence sector. You will collaborate with the Technical Lead, Engineers and Architects to design, build and deliver secure digital solutions in highly secure environments.
AI Engineer/Data Scientist in Farnborough employer: Sivara GmbH
As an employer in the defence sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work with cutting-edge technologies in a secure environment. Our commitment to employee well-being is reflected in our flexible working arrangements, including the option to work on-site just two days a week, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer/Data Scientist in Farnborough
✨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 Sivara GmbH!
✨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 AI Engineer/Data Scientist at Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer/Data Scientist at Sivara GmbH, 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 AI Engineer/Data Scientist in Farnborough
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
