At a Glance
- Tasks: Develop cutting-edge ML/AI technologies for defence and security projects.
- Company: Growing organisation in the Defence Sector based in Cambridge.
- Benefits: Competitive salary, bonuses, health insurance, free meals, and ongoing training.
- Other info: Exciting career growth opportunities in a dynamic and collaborative environment.
- Why this job: Work on impactful projects that shape national security with innovative tech.
- Qualifications: Degree in Machine Learning or AI; experience in relevant projects preferred.
The predicted salary is between 36000 - 60000 £ per year.
A growing organisation within the Defence Sector, based in Cambridge, is currently seeking a skilled Machine Learning Engineer or Artificial Intelligence Engineer to contribute to the ongoing development of defence, security, and intelligence technologies. This is an expanding organisation offering intriguing career development opportunities based on success.
You will work on a variety of projects, ranging from small individual initiatives to large ongoing projects, where you will collaborate with mechanical engineers, electronics engineers, inventors, scientists, and other industry experts. Given that you will be working on cutting-edge technologies with potential applications in corporate and national security measures, the ability to obtain security clearance is necessary.
Ideally, you will have experience in Machine Learning or Artificial Intelligence projects spanning several years. While experience in the defence sector would be highly advantageous, it is not a strict requirement. It is expected that you hold a degree that has prepared you for a role in Machine Learning or Artificial Intelligence.
In addition to working on highly challenging and captivating projects, you will receive a competitive salary, bonuses, pension benefits, complimentary meals, health insurance, ongoing skills training, and other outstanding perks. If you seek daily challenges and the opportunity to work on projects at the forefront of the ML/AI field, we encourage you to apply now, as we anticipate significant interest in this role.
Machine Learning Engineer – Defence Sector employer: Newton Colmore Consulting
Join a dynamic mechanical engineering services company that prioritises employee growth and development, offering clear progression pathways and a supportive work culture. With a focus on building long-term relationships and delivering exceptional service, you'll thrive in an environment that values your expertise and encourages innovation. Located centrally in Hampshire, this role provides the unique advantage of engaging with diverse industrial sectors across the South Coast, ensuring your contributions have a meaningful impact on the business's success.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer – Defence Sector
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Newton Colmore Consulting or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Newton Colmore Consulting.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Newton Colmore Consulting.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Newton Colmore Consulting that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Engineer – Defence Sector
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Newton Colmore Consulting.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Newton Colmore Consulting and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Newton Colmore Consulting
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Newton Colmore Consulting uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
