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- Tasks: Develop and deploy cutting-edge machine learning models for real-world applications.
- Company: Join a leading tech consultancy at the forefront of defence innovation.
- Benefits: Competitive salary, exciting projects, and opportunities for professional growth.
- Why this job: Make a real impact in protecting the UK from technological threats.
- Qualifications: 2:1 degree in relevant field and strong Python skills required.
- Other info: Collaborative environment with multidisciplinary teams and dynamic challenges.
The predicted salary is between 36000 - 60000 £ per year.
This is an exciting opportunity to join a cutting-edge technology consultancy working at the forefront of innovation in defence and homeland security. As a Machine Learning Consultant, you will play a key role in developing advanced solutions that help protect the UK from emerging technological and cyber threats.
About the Role
You will work on a wide range of challenging, meaningful projects alongside multidisciplinary teams of scientists and engineers. The role spans research, prototyping, and deployment of machine learning systems across diverse real-world applications. You will contribute to the full ML development cycle, including ideation, data preparation, rapid prototyping, model design, evaluation, and packaging solutions into client-ready demonstrators and products.
Key Responsibilities
- Design, develop, and deploy machine learning models for novel or complex problems.
- Research and experiment with emerging model architectures and ML technologies.
- Build rapid prototypes and assess feasibility for real-world applications.
- Work across disciplines, integrating science, engineering, and machine learning.
- Solve technical challenges across the entire ML pipeline and development life cycle.
About You
You are curious, creative, and bring a strong scientific approach to problem-solving. You enjoy exploring new concepts, learning quickly, and applying ML in innovative ways. You will have:
- A 2:1 or above degree in Maths, Physics, Engineering, Computer Science or a similar subject.
- Strong Python programming skills.
- Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX.
- Experience building ML solutions for novel, edge, or resource-constrained environments.
- Familiarity with a variety of ML techniques (e.g., computer vision, audio, generative models).
- Knowledge of GPU hardware and programming languages such as CUDA.
Desirable:
- Graduate-level research experience or equivalent R&D experience.
- Experience in client-facing or consultancy-style roles.
- Ability to quickly pick up new technical domains.
Machine Learning Consultant employer: Lynx Recruitment Ltd
Contact Detail:
Lynx Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Consultant
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it’s GitHub repos or a personal website, let your work speak for itself. We love seeing what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and coding challenges. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who are eager to make a difference in the field of machine learning.
We think you need these skills to ace Machine Learning Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Consultant role. Highlight your relevant experience, especially in Python programming and ML frameworks like TensorFlow or PyTorch. We want to see how your skills align with our cutting-edge projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your curiosity and creativity in problem-solving. Tell us about your passion for machine learning and how you can contribute to our innovative solutions in defence and homeland security.
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! Whether it's a personal project or something from your studies, we love seeing real-world applications of your skills. It helps us understand your hands-on experience better.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll get to explore more about what we do at StudySmarter!
How to prepare for a job interview at Lynx Recruitment Ltd
✨Know Your ML Stuff
Make sure you brush up on the latest machine learning techniques and frameworks like TensorFlow and PyTorch. Be ready to discuss your hands-on experience with these tools, as well as any projects you've worked on that showcase your skills in real-world applications.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your scientific approach to problem-solving, especially in complex or resource-constrained environments.
✨Research the Company
Get familiar with the consultancy's work in defence and homeland security. Understanding their projects and values will help you tailor your responses and show genuine interest in how you can contribute to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your curiosity and eagerness to learn. Inquire about the team dynamics, the types of projects you'll be working on, and how they integrate different disciplines in their work. This shows you're not just interested in the role, but also in the company culture.
