At a Glance
- Tasks: Develop cutting-edge AI/ML solutions for Defence and National Security challenges.
- Company: Leading tech and engineering firm with a focus on innovation.
- Benefits: Competitive salary, 6% bonus, hybrid work model, and career development opportunities.
- Other info: Join a dynamic team at the forefront of AI research and development.
- Why this job: Make a real-world impact by solving complex problems with AI technology.
- Qualifications: Expertise in AI/ML, strong Python skills, and experience in Agile environments.
The predicted salary is between 72000 - 88000 £ per year.
Location: Romsey, Hampshire/Hybrid (2 days per week on site)
Salary: £65,000 plus 6% bonus
Candidates must be willing and eligible to go through SC security clearance.
Build AI that solves problems others can't within Defence, National Security & Intelligence.
Are you an AI/ML Engineer, Research Engineer or Applied Scientist who wants to work on genuinely complex, technically challenging problems? This is an opportunity to join a leading technology and engineering business working across National Security, Defence, Intelligence and Commercial markets, where you'll be doing far more than simply implementing existing models. You'll be researching, experimenting, developing and delivering novel AI/ML solutions that can make a real-world difference.
You'll operate at the cutting edge of AI/ML, working across areas including:
- Computer Vision
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Deep Learning and advanced ML techniques
A key part of the role is taking academic research and state-of-the-art techniques and turning them into practical, usable solutions for complex customer challenges.
- Develop novel AI/ML solutions from the ground up
- Lead technically complex R&D projects
- Build production-quality software using Python
- Help shape the direction of Roke's AI/ML capability
We're interested in people who combine genuine AI/ML expertise with strong software engineering ability:
- Proven commercial experience in AI/ML R&D
- Strong Python development skills
- Experience in one or more of Computer Vision, NLP, LLMs or Reinforcement Learning
- A track record of developing novel AI/ML applications
- Experience adapting and applying academic research
- Strong software engineering fundamentals
- Experience working in Agile engineering environments
Locations
C# Engineer (Remote) in Hampshire, Romsey employer: CBS Butler
CBS Butler is an exceptional employer, offering a dynamic work environment in Yeovil where innovation meets security in the defence sector. With a strong emphasis on employee growth, you will have the opportunity to mentor fellow engineers while working on cutting-edge VMware NSX-T solutions. Our collaborative culture and commitment to technical excellence ensure that your contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land C# Engineer (Remote) in Hampshire, Romsey
✨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 CBS Butler!
✨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 C# Engineer (Remote) at CBS Butler.
✨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 CBS Butler.
✨Apply Directly through Our Website
When you find a suitable opening like C# Engineer (Remote) at CBS Butler, 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 C# Engineer (Remote) in Hampshire, Romsey
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 CBS Butler, 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 CBS Butler. 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 CBS Butler
✨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 CBS Butler!
✨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.
