ML Research Consultant

ML Research Consultant

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Research, design, and deploy cutting-edge machine learning systems in a collaborative team.
  • Company: UK-based tech consultancy focused on advanced AI and machine learning solutions.
  • Benefits: Strong benefits package including pension, private medical, and generous leave.
  • 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: Enjoy a 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're 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'll 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 employer: Tec Partners

As a Machine Learning Research Consultant at our UK-based technology consultancy in Cambridge, you'll be part of a dynamic team dedicated to solving complex, real-world challenges in defence and security. We pride ourselves on our flat, collaborative culture that fosters autonomy and innovation, alongside a strong benefits package that includes private medical care and generous leave. Join us to work on impactful projects while enjoying ample opportunities for professional growth in a supportive environment.
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Contact Detail:

Tec Partners Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land ML Research Consultant

✨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. We all know that sometimes it’s not just what you know, but who you know!

✨Tip Number 2

Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in machine learning. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.

✨Tip Number 3

Showcase your projects! Whether it's a GitHub repository or a personal website, having a portfolio of your work can really set you apart. We love seeing practical applications of your skills, especially in ML frameworks like PyTorch or TensorFlow.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to tackle real-world ML challenges.

We think you need these skills to ace ML Research Consultant

Machine Learning
Python
ML Frameworks (PyTorch, TensorFlow, JAX)
Data Preparation
Model Development
Model Evaluation
Model Deployment
Computer Vision
Generative Models
Signal Processing
Audio Processing
GPU/CUDA
Research and Development
Consultancy Skills
Client-Facing Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the ML Research Consultant role. Highlight your relevant experience with Python and ML frameworks like PyTorch or TensorFlow. We want to see how your skills match what we're looking for!

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 background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!

Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! Whether it's a university project or something you've done in your spare time, we want to know how you've applied your skills in real-world scenarios.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at StudySmarter!

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 tools, as well as any novel techniques you've used.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex problems in previous roles. Think about situations where you had to innovate or adapt your approach due to constraints. This will demonstrate your hands-on experience and ability to think critically under pressure.

✨Familiarise Yourself with the Company

Research the consultancy's past 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 the ML landscape. This shows you're not just interested in the job, but also in the company's vision.

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