At a Glance
- Tasks: Develop cutting-edge AI/ML solutions for Defence and Security challenges.
- Company: Mind Foundry creates intelligent tools to transform the world using responsible AI.
- Benefits: Enjoy flexible working, travel coverage, and opportunities for professional growth.
- Other info: Work primarily on client sites in London or Reading, with opportunities for mentorship.
- Why this job: Join a diverse team making a real impact in Defence and National Security.
- Qualifications: Masters in relevant field; PhD preferred but not essential; strong Python skills required.
The predicted salary is between 43200 - 72000 £ per year.
Mind Foundry is building a diverse and inclusive environment. Senior Machine Learning Scientist (Defence and Security) Reading, England, United Kingdom Senior Machine Learning Scientist – Defence and Security We are looking for a Senior Machine Learning Scientist to join our growing Defence and National Security team, in our Engineering and Machine Learning department. This role is primarily based on client sites 3/4 days per week, likely London or Reading. ABOUT MIND FOUNDRY We established Mind Foundry to ensure that AI can be used to radically transform our world for the better. To do this, we design intelligent tools that are easy to understand and easy to use. Born within the University of Oxford’s Machine Learning Group and founded by world-leading academics, we empower teams with responsible AI solutions. ABOUT THE ROLE As a Senior Machine Learning Scientist, you will contribute to our Defence & Security work as part of our Applied Machine Learning team. You will work alongside other Research Scientists, Machine Learning Engineers, and Product managers to help take cutting-edge approaches and turn them into performant and robust solutions for our customers’ problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific rigour and best practice is maintained throughout the delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. Working away at partner locations as required. WHAT YOU\’LL NEED A Masters degree in Computer Science, Applied Mathematics, Statistics, Physics or related field, or equivalent experience. A PhD/DPhil is highly valued but not essential. Experience with state-of-the-art ML libraries. Fluency in Python , ideally in a scientific or commercial context. Experience designing and implementing software systems for ML models. Championing scientific integrity practices. Eagerness to learn and a collaborative approach. Experience acting as a technical/research lead on projects. Ability to communicate complex ideas effectively. Comfort in speaking to customers and understanding their needs. GREAT IF YOU ALSO HAVE Experience with audio, radio frequency, or imagery data. Experience handling large datasets. Familiarity with the wider ML ecosystem. Experience with Git or other version control systems. Ability to write and contribute to technical material. Experience in the Defence and National Security space. Apply for this job * indicates a required field This role can only be based in the UK. Do you currently have the Right to Work in the UK? * Yes – I am a UK Citizen or have Indefinite Leave to Remain No – I require visa sponsorship. What is your availability to start with Mind Foundry? * What is your desired salary? * Some of our work is in Government / Defence and Security. Do you currently hold any UK security clearance accreditations? * Yes – I hold security clearance No – but I am willing to undertake any necessary clearance. Is travel to and working from client sites around the UK something you are comfortable with? * Travel will be covered by Mind Foundry. #J-18808-Ljbffr
Contact Detail:
Mind Foundry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist (Defence and Security)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly those relevant to defence and security. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the defence and security sector, especially those who work with AI and machine learning. Attend industry conferences or meetups to build connections that could provide insights or referrals for the position.
✨Tip Number 3
Prepare to discuss your experience with Python and machine learning libraries in detail. Be ready to share specific examples of projects where you've implemented ML solutions, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Showcase your ability to communicate complex ideas clearly, as this is crucial for the role. Practice explaining your past projects or technical concepts in a way that someone without a technical background can understand, which will be valuable during client interactions.
We think you need these skills to ace Senior Machine Learning Scientist (Defence and Security)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly in defence and security contexts. Emphasise your technical skills, such as proficiency in Python and familiarity with ML libraries, as well as any experience with large datasets or specific domains like audio or imagery data.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and its applications in defence and security. Mention specific projects or experiences that demonstrate your ability to create AI/ML solutions and your collaborative approach in team settings.
Highlight Relevant Qualifications: Clearly state your educational background, especially if you have a Master's degree or PhD in a related field. If you have any certifications or training in machine learning or data science, be sure to include those as well.
Prepare for Technical Questions: Anticipate technical questions related to machine learning methods and software implementation. Be ready to discuss your previous projects, the challenges you faced, and how you ensured scientific rigour and best practices in your work.
How to prepare for a job interview at Mind Foundry
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with state-of-the-art machine learning libraries and how you've applied them in real-world scenarios. Highlight specific projects where you've designed and implemented ML models, especially in defence or security contexts.
✨Demonstrate Collaborative Skills
Since the role involves working closely with various teams, emphasise your ability to collaborate effectively. Share examples of how you've worked with product managers, engineers, or other scientists to deliver successful projects.
✨Communicate Complex Ideas Clearly
Practice explaining complex machine learning concepts in simple terms. This is crucial as you'll need to communicate with clients and colleagues who may not have a technical background. Use analogies or visual aids if necessary.
✨Prepare for Client Interaction Scenarios
As the role requires attending client meetings, think about how you would approach understanding their needs. Prepare to discuss how you've previously engaged with clients or stakeholders to gather requirements and deliver tailored solutions.