At a Glance
- Tasks: Design and develop cutting-edge computer vision systems using deep learning techniques.
- Company: Innovative UK tech company leading in AI and machine learning for defence and security.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with excellent career progression in a supportive environment.
- Why this job: Join a dynamic team and make a real impact in advanced AI applications.
- Qualifications: Strong experience in deep learning, Python, and computer vision techniques.
Senior Computer Vision Engineer - Deep Learning
Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available
Employment: Permanent, full-time.
Contract opportunities may also be considered.
MFK Recruitment is recruiting a Senior Computer Vision Engineer for an innovative UK technology company working at the forefront of computer vision, perception and autonomy.
The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments.
Its work combines machine vision, deep learning and neuroscience-inspired approaches to create AI systems that are accurate, robust and reliable.
MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business.
This speaks volumes about the culture, technical challenges and long-term opportunities available.
Senior Computer Vision Engineer role
You will design, develop and deploy production-grade computer vision systems using modern deep learning techniques, with a particular focus on Convolutional Neural Networks and Vision Transformers.
This is a hands-on engineering role for someone comfortable working across research, software development and real-world deployment.
You will help translate recent AI research into reliable products used within demanding defence and security environments.
The position is predominantly office and customer-site based in West London, although some remote working will be available.
- Senior Computer Vision Engineer responsibilities
- Design, develop and optimise computer vision models using CNNs, Vision Transformers and related deep learning architectures.
- Develop customised neural networks, training strategies, loss functions and evaluation metrics.
- Implement and adapt techniques from recent AI and computer vision research.
- Build scalable training, validation, evaluation and inference pipelines.
- Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms.
- Translate research outputs into maintainable, production-quality software.
- Collaborate with Software Engineers, Researchers, Technical Leaders and customers.
- Contribute to architecture decisions, testing and CI/CD practices.
- Support the deployment of computer vision systems into customer environments.
Essential experience
- Strong commercial experience developing deep learning solutions for computer vision.
- Excellent Python development skills.
- Commercial experience using Py Torch. Tensor Flow experience will also be considered.
- Strong knowledge of CNNs and modern computer vision techniques.
- Experience designing, modifying or adapting neural network architectures.
- Experience with model training, validation, hyperparameter optimisation and performance evaluation.
- Experience implementing techniques from recent AI or computer vision research.
- Experience delivering reliable AI systems into production.
- Strong software engineering practices, including Git, testing, code reviews and CI/CD.
- Excellent analytical, problem-solving and communication skills.
Desirable experience
- Vision Transformer architectures.
- Object detection, tracking, segmentation or pose estimation.
- Multi-object localisation or multi-modal perception systems.
- GPU optimisation, CUDA, inference acceleration or edge AI.
- Real-time computer vision systems.
- Docker, Kubernetes, Kubeflow or MLOps pipelines.
- Aerial, satellite or ISR imagery.
- Synthetic data generation, Unreal Engine or NVIDIA Omniverse.
- Distributed training and large-scale model optimisation.
- Defence, government or national security projects.
- An MSc or Ph D in Computer Vision, Artificial Intelligence, Machine Learning, Robotics or a related subject.
- Security clearance
Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing clearance is advantageous but is not required for every appointment.
Applicants for SC clearance are normally expected to have lived in the UK for the previous five years.
A shorter period of UK residency or time spent overseas will not necessarily prevent clearance, but eligibility will be assessed individually by the sponsoring authority
Senior Computer Vision Engineer - Deep Learning in Brentford employer: MFK Recruitment
As a leading workplace equipment supplier, this award-winning organisation offers a dynamic and supportive work culture that prioritises innovation and customer satisfaction. Employees benefit from competitive salaries, a bonus structure, and the flexibility of remote work, alongside opportunities for professional growth and development within a thriving B2B market. The company's commitment to employee well-being and success makes it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Computer Vision Engineer - Deep Learning in Brentford
✨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 MFK Recruitment 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
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✨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 MFK Recruitment.
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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 MFK Recruitment 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 Computer Vision Engineer - Deep Learning in Brentford
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 MFK Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MFK Recruitment 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 MFK Recruitment
✨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 MFK Recruitment 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.
