At a Glance
- Tasks: Invent innovative machine learning systems to tackle real-world defence challenges.
- Company: Leading tech firm at the forefront of AI and ML in the defence sector.
- Benefits: Competitive salary, private medical insurance, generous pension, and social club access.
- Other info: Collaborative environment with opportunities for professional growth and diverse projects.
- Why this job: Join a dynamic team creating cutting-edge tech that makes a real impact.
- Qualifications: Strong Python skills, experience with ML frameworks, and a top STEM degree.
The predicted salary is between 63000 - 77000 £ per year.
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 Do E Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors.
Ensure you read the information regarding this opportunity thoroughly before making an application.
As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it.
You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation.
With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale.
Whats special about this group is they do this many times per year working across multiple domains.
You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another.
With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new Ph Ds to industry veterans and anything in between.
Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as Tensor Flow and Py Torch.
Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly.
A top degree in a STEM subject.
Additionally, a Ph D or relevant commercial experience.
UK nationality for passing security checks.
While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable.
As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).
Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate.
You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise as well as providing opportunities for continued professional growth and development.
Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs.
Please note, you are required to be onsite full-time for this role.
Another top job from ECM, the high-tech recruitment experts. xrnqpay
Even if this job's not quite right, do contact us now
- we may well have the ideal job for you.
To discuss your requirements call ecm or email your CV.
We will always ask before forwarding your CV.
Please apply (quoting ref: TJ27674 ) only if you are eligible to live and work in the UK.
By submitting your details you certify that the information you provide is accurate.
Machine Learning Engineer in Farnham employer: Confidential
As a leading employer in the data centre operations sector, we offer an exceptional work environment that prioritises employee growth and development. Our collaborative culture fosters innovation and accountability, while our commitment to safety and operational excellence ensures that you will be part of a team that values your contributions. With opportunities for international travel and the chance to lead critical operations across the EMEA region, this role provides a unique platform for impactful leadership and career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Farnham
✨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 Confidential 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 Confidential.
✨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 Confidential.
✨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 Confidential 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 in Farnham
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 Confidential.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Confidential 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 Confidential
✨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 Confidential 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.
