At a Glance
- Tasks: Develop and optimise advanced ML models for defence and national security projects.
- Company: Specialist AI organisation focused on delivering cutting-edge machine learning capabilities.
- Benefits: £550 per day, outside IR35, with long-term programme potential.
- Why this job: Make a real impact in high-priority defence projects using advanced AI solutions.
- Qualifications: Experience in ML solutions, strong Python skills, and expertise in deep learning and computer vision.
- Other info: Ideal for seasoned contractors seeking to work in secure environments.
The predicted salary is between 39600 - 66000 £ per year.
Location: UK (hybrid/on-site as required)
Rate: £550 per day (Outside IR35)
Security Clearance: Must hold UK SC Clearance
We are supporting a specialist AI organisation delivering advanced machine learning capability into the defence sector. They require a Contract ML Engineer to support ongoing high-priority programmes. This is an outside IR35 engagement at £550 per day, suited to an experienced contractor who can operate independently within secure environments.
The Role
You will work on the development and optimisation of advanced ML models, contributing to applied AI solutions across defence and national security projects.
Key responsibilities include:
- Designing and implementing deep learning models
- Developing computer vision and pattern recognition systems
- Building and refining synthetic data pipelines
- Supporting modelling and simulation environments
- Deploying models within secure production systems
Required Experience
- Demonstrable experience delivering ML solutions within the defence sector
- Strong Python software engineering background
- Deep Learning experience (TensorFlow, Keras or equivalent)
- Experience with DNNs and advanced ML techniques
- Computer Vision expertise
- Comfortable working in secure, regulated environments
Engagement Details
- £550 per day
- Outside IR35
- Long-term programme potential
- High-impact defence projects
This role is ideal for a seasoned ML contractor who is comfortable navigating secure programmes and delivering robust, production-ready AI solutions.
Senior Machine Learning Engineer in London employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the defence sector and let them know you're on the lookout for opportunities. Sometimes, it's all about who you know, so don't be shy about asking for referrals or introductions.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best machine learning projects, especially those related to defence. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with deep learning models and computer vision, as these are key areas for the role. Practice common interview questions to boost your confidence!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates. So, don’t miss out on the chance to land that dream job!
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, especially within the defence sector. We want to see how your skills align with the role, so don’t be shy about showcasing your deep learning and computer vision expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing passion for AI and defence projects, so let us know what excites you about working with advanced ML models.
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to mention them! We’re keen to see examples of your work with DNNs, synthetic data pipelines, or any modelling and simulation environments you've tackled. Real-world applications speak volumes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially around deep learning models and computer vision. Be ready to discuss specific projects you've worked on, particularly those in the defence sector, as this will show your relevant experience.
✨Showcase Your Python Skills
Since a strong Python background is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to ML and be ready to explain your thought process.
✨Understand Secure Environments
Familiarise yourself with the protocols and challenges of working in secure, regulated environments. Be prepared to discuss how you've navigated these situations in the past and how you ensure compliance while delivering robust solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future goals in the defence sector. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.