At a Glance
- Tasks: Design and optimise advanced computer vision solutions using cutting-edge AI techniques.
- Company: Leading AI organisation focused on Defence and Security technologies.
- Benefits: Up to £95k salary, bonus, and opportunities for professional growth.
- Other info: Collaborate with top researchers and engineers in a high-performance setting.
- Why this job: Transform innovative research into impactful AI solutions in a dynamic environment.
- Qualifications: Strong Python/PyTorch skills and experience in computer vision and deep learning.
The predicted salary is between 72000 - 88000 £ per year.
Must hold active clearance - SC or MoD DV. Up to £95k DoE plus bonus. 4 days on site in Brentford - future travel to client site in Cambridge.
We are recruiting a Senior AI/ML Engineer with strong computer vision and deep learning experience for a highly technical AI organisation delivering advanced machine learning technologies across Defence, Security and other high-performance environments. You’ll work alongside AI researchers, software engineers and technical leadership to transform cutting-edge research into robust, production-ready AI solutions. The role offers the opportunity to work on challenging computer vision applications deployed across both large-scale cloud environments and edge platforms.
What will the Senior AI/ML Engineer be doing?
- You will design, develop and optimise advanced computer vision solutions using CNNs, Vision Transformers and modern deep learning techniques.
- You’ll develop customised neural network architectures, training strategies and evaluation methods, while translating state-of-the-art research into production-quality software.
- The role will involve building scalable training, validation and inference pipelines, optimising models for edge and cloud deployment, and contributing to software architecture and engineering best practice.
- You’ll work closely with researchers, software engineers and customers to deliver innovative AI solutions for demanding real-world applications.
Key Skills and Requirements
- Strong Python/PyTorch development and production AI/ML experience.
- Expert knowledge of CNNs, Vision Transformers and modern computer vision.
- Experience developing custom neural networks, training strategies and AI research techniques.
- Strong software engineering skills including Git, testing and CI/CD.
- Experience with object detection, tracking, segmentation and real-time/edge AI.
- Knowledge of GPU optimisation, Docker, Kubernetes and MLOps.
- Experience with aerial/satellite/ISR imagery and/or Defence environments highly desirable.
- MSc/PhD in AI, Computer Vision or ML or equivalent commercial experience.
KEY SKILLS: AI/ML Engineer / AI Engineer / Machine Learning / ML / Computer Vision / Deep Learning / CNN / Convolutional Neural Networks / Vision Transformers / ViT / PyTorch / TensorFlow / Neural Networks / Model Development / Model Optimisation / Object Detection / Segmentation / Tracking / GPU / Edge AI / Real-Time Inference / Python / Git / CI/CD / Docker / Kubernetes / MLOps.
Senior AI/ML Engineer in Brentford employer: Searchability®
Join a dynamic and innovative technology company in the heart of Manchester, where you'll have the opportunity to lead technical innovation on a mature SaaS platform. With a strong emphasis on collaboration, employee development, and a transparent progression framework, this role offers not only competitive pay but also unique benefits like profit sharing and regular team-building activities. Experience a vibrant work culture that prioritises autonomy and continuous improvement, making it an excellent place for passionate engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI/ML Engineer in Brentford
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Searchability®.
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We think you need these skills to ace Senior AI/ML Engineer in Brentford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Searchability®, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Searchability®. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Searchability®
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Searchability®!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
