At a Glance
- Tasks: Lead innovative AI projects and shape the future of technology at Synoptix.
- Company: Join Synoptix, a pioneering engineering firm focused on cutting-edge AI solutions.
- Benefits: Enjoy flexible working, generous holiday, and continuous professional development opportunities.
- Other info: Be part of a dynamic team with excellent growth potential and exciting projects.
- Why this job: Make a real impact in high-stakes environments while advancing your career in AI.
- Qualifications: Experience in AI, machine learning, and software development is a plus.
We are looking for a Principal AI Engineer to join the technology team at Synoptix. The technology team specialises in applying AI to solve challenges within complex systems, with expertise spanning object detection, neural network resilience, AI assurance, and the development of synthetic data. Through bespoke research and development programmes, the team delivers high-grade AI systems and services for high-stakes environments.
As the Principal AI Engineer at Synoptix, you will help shape the scope, direction, and technical vision of the engineering projects you lead. You will engage with both internal and external stakeholders at a high level, whilst feeding insights back to the business where possible. Internally to Synoptix, you will be recognised as a technical leader, playing a key role in advancing AI and engineering best practices.
Day-to-day tasking can include:
- Working on high-throughput vision systems on NVIDIA Jetson hardware, involving:
- CUDA/TensorRT acceleration
- Multi-modal (thermal + optical) sensors
- Robust real-time tracking
- Exploring AI Assurance and AI Safety
- Delivering technical expertise on a variety of internal and external facing projects
- Supporting AI Engineering activity across the design lifecycle
- Working with multidisciplinary teams
- Engaging with customer representatives to identify opportunities
- Attending internal strategy meetings
- Guiding junior engineers in project delivery
Key Skills:
We are interested in the following skills, but they are not essential for you to apply:
- Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence
- Machine Learning and Deep Learning
- Computer Vision methodologies and algorithms
- MLOps
- Developing AI for use on Edge Computers
- Research and prototyping
Benefits:
- Annual Company Bonus – Based on company performance
- 25 Days holiday not including bank holidays with the option to buy/sell up to 5 days
- Flexible hybrid working arrangements
- Continuous professional development including incentives
- Access to online Udemy training facility to support grade specific learning pathways
- Electric car scheme
- Bike to work scheme
- Private health care
About Us:
Synoptix was formed in 2011 to provide engineering solutions across various technical industries. We have evolved from a company established and focussed on Systems Thinking principles into an Engineering company providing solutions and services across three key capabilities: Systems, Cyber & InfoSec and Technology. What makes us stand out is how we engage in the crossover areas between these disciplines, combining our strengths to provide a truly bespoke, market leading approach. Our engineering competence is bolstered by expertise in commercial, legal, financial and resource, thereby ensuring that we uphold excellence in our product and service offerings.
Please note that due to the nature of our projects we can only accept Sole UK National candidates who will need to be eligible to obtain UK Security Clearance.
By applying to this position, you are confirming that you consent to the retention of your personal data. Your data is held securely on our own premises and under the terms of the Data Protection Act (2018). It will be treated as confidential, and will not be transferred to any third party, or to any other jurisdiction without your consent. We will not hold any data for any longer than is necessary for us to fulfil our obligations and will remove any data at your written request.
Principal AI Engineer employer: Synoptix
At Synoptix, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the technology team. Our commitment to employee growth is evident through tailored development programmes and opportunities to engage in cutting-edge AI projects that have real-world impact. Located in a vibrant tech hub, we provide a stimulating environment where your contributions are valued, and you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Engineer
✨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 Synoptix 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 Synoptix.
✨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 Synoptix.
✨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 Synoptix 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 Principal AI Engineer
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 Synoptix.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Synoptix 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 Synoptix
✨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 Synoptix 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.
