At a Glance
- Tasks: Develop and optimise cutting-edge machine learning and computer vision algorithms.
- Company: Join an innovative engineering team tackling real-world challenges.
- Benefits: Enjoy flexible working, generous leave, and comprehensive health benefits.
- Other info: Collaborative environment with excellent career growth and mentoring opportunities.
- Why this job: Make a real impact in AI and computer vision while growing your skills.
- Qualifications: Degree in relevant field and experience with machine learning algorithms required.
The predicted salary is between 65000 - 80000 £ per year.
We are looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications.
This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling.
You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment.
The successful candidate will have the opportunity to take ownership of technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring.
Key Responsibilities
- Develop and optimise machine learning and computer vision algorithms for real-world applications.
- Investigate complex technical challenges, designing experiments and approaches to identify effective solutions.
- Analyse datasets, model performance, and system behaviour to improve algorithm capability.
- Support the development of automated workflows for data processing, training, testing, and evaluation.
- Contribute to the integration and deployment of algorithms within advanced software systems.
- Share technical knowledge, mentor colleagues, and contribute to best practice across the engineering team.
- Keep up to date with emerging developments in AI, machine learning, and computer vision.
Experience Required
- Degree or equivalent experience in Computer Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related discipline.
- Proven experience developing machine learning or computer vision algorithms for production or near-production environments.
- Strong understanding of modern computer vision techniques, including object detection, image classification, and deep learning architectures.
- Experience working with image datasets and applying image processing techniques to improve model performance.
- Strong programming skills in Python, with experience in C++ for performance-critical applications.
- Ability to solve complex technical problems through structured investigation and practical experimentation.
- Strong communication skills with the ability to explain technical concepts clearly.
- Due to the nature of the work, successful applicants will be required to obtain UK Security Clearance.
Desirable Experience
- Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques.
- Synthetic data generation, multi-modal AI, or action recognition.
- Machine learning development tools, experiment tracking, dataset management, or CI/CD pipelines.
- Automation of development, testing, or deployment workflows.
- Cross-platform C++ development and build systems such as CMake.
Benefits
- Hybrid and flexible working arrangements.
- 37.5-hour working week with Friday lunchtime finish.
- 28 days annual leave plus Christmas closure.
- Holiday purchasing scheme.
- Matched pension contributions up to 6%.
- Private medical insurance and income protection.
- Life assurance and employee assistance programme.
- Share incentive and savings schemes.
- Electric vehicle salary sacrifice scheme.
- Wellbeing support and employee benefits platform.
- Learning and development opportunities.
- #J-18808-Ljbffr
Senior Algorithms Engineer in Glasgow employer: Holt Executive
Holt Executive is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the field of advanced flight simulation systems. Employees benefit from generous perks such as a discretionary bonus, private medical insurance, and a robust pension scheme, alongside ample opportunities for professional growth and development in the picturesque setting of Pulborough, UK.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Algorithms Engineer in Glasgow
✨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 Holt Executive 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 Holt Executive.
✨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 Holt Executive.
✨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 Holt Executive 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 Senior Algorithms Engineer in Glasgow
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 Holt Executive.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Holt Executive 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 Holt Executive
✨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 Holt Executive 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.
