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- Tasks: Research and deploy cutting-edge machine learning systems in a collaborative team.
- Company: Innovative tech consultancy focused on AI solutions for defence and security.
- Benefits: Strong benefits package, including private medical, generous leave, and pension.
- Why this job: Tackle real-world ML challenges and make a significant impact.
- Qualifications: Degree in relevant field and strong Python skills required.
- Other info: Flat culture with autonomy and excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: Cambridge, UK (on-site)
Contract: Permanent, Full-time
We are recruiting on behalf of a UK-based technology consultancy delivering advanced AI and machine learning solutions to complex, real-world problems in defence and security.
The Role
You will work within multi-disciplinary teams of scientists and engineers to research, design and deploy cutting-edge machine learning systems. Projects span early-stage research through to working prototypes, covering the full ML lifecycle - from data preparation and rapid prototyping to model development, evaluation and deployment. This is a hands-on role for someone who enjoys tackling novel, technically challenging problems and applying ML in real-world or constrained environments.
About You
- Degree (2:1 or above) in Computer Science, Engineering, Physics, Maths or similar
- Strong Python skills
- Experience with ML frameworks such as PyTorch, TensorFlow and/or JAX
- Exposure to applying ML in novel domains or resource-constrained settings
- Familiarity with a range of ML techniques (e.g. CV, generative models, signal/audio processing)
- GPU/CUDA experience beneficial
- Postgraduate research or equivalent R&D experience is desirable. Consultancy or client-facing experience is a plus.
Why Apply?
- Work on impactful, real-world ML problems
- Flat, collaborative culture with real autonomy
- Strong benefits package including pension, private medical, generous leave and on-site facilities
- Part of an employee-owned technology group
- Eligibility for UK security clearance required. No visa sponsorship available.
ML Research Consultant in Cambridge employer: Tec Partners
Contact Detail:
Tec Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Consultant in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that demonstrate your problem-solving abilities in real-world scenarios. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with ML frameworks like PyTorch and TensorFlow. Practice coding challenges and be ready to discuss your thought process while tackling complex problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search and genuinely interested in joining our team.
We think you need these skills to ace ML Research Consultant in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and showcases your strong Python skills. We want to see how your background aligns with the role, so don’t be shy about emphasising your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your skills can help us tackle complex problems. Be specific about your experiences with ML frameworks like PyTorch or TensorFlow.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled novel or technically challenging problems. We love candidates who can think outside the box and apply ML in real-world scenarios, so share those stories!
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Tec Partners
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially the frameworks mentioned in the job description like PyTorch and TensorFlow. Be ready to discuss specific projects where you've applied these technologies, as well as any novel domains you've worked in.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenging problems you've tackled in the past. Think of examples where you had to apply ML in constrained environments or unique situations. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Get Familiar with the Company’s Work
Research the consultancy's previous projects and their impact in defence and security. Understanding their work will help you tailor your answers and show genuine interest in how you can contribute to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about their current projects, team dynamics, or future challenges they foresee in ML. This shows you're not just interested in the job, but also in being part of their journey.
