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For Companies At a Glance
- Tasks: Develop and deploy cutting-edge ML solutions for real-world data challenges.
- Company: Join a leading tech firm in London/Aylesbury with a focus on innovation.
- Benefits: Attractive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work on exciting projects in defence, robotics, and autonomous systems.
- Why this job: Make a real impact by solving complex problems in dynamic environments.
- Qualifications: Strong ML Engineering or Data Science background with Python skills.
The predicted salary is between 85000 - 100000 £ per year.
Location: London / Aylesbury hybrid
Salary: £85,000-£100,000
Type: Permanent
Clearance: Active SC Clearance required
What We’re Looking For
- Analytical, detail-oriented and collaborative.
- Comfortable on fast-moving projects.
- Motivated by solving complex real-world challenges across technical and non-technical teams.
Key Responsibilities
- Develop and deploy ML solutions for real-world operational data.
- Work on multi-source, multi-modal sensor-driven systems.
- Build and optimise edge-to-cloud analytics pipelines.
- Apply signal processing, computer vision and sensor fusion to complex datasets.
- Collaborate with engineering, product and customer-facing teams.
- Contribute to ML model decisions, deployment architecture and system performance.
- Optimise solutions for high-stakes environments where reliability is critical.
Required Skills
- Strong background in ML Engineering or Data Science.
- Experience with sensor signal processing, computer vision and sensor fusion.
- Applied ML experience using real-world data.
- Experience building edge-to-cloud analytics pipelines.
- Strong Python skills and related ML tooling.
- Active SC Clearance required.
- Defence, security, robotics, drones or autonomous systems experience.
- Familiarity with secure or sovereign technology environments.
- Experience with noisy, high-dimensional or resource-constrained data.
- Knowledge of distributed systems, cloud or edge computing.
ML Engineer / Data Scientist employer: IO Associates
Contact Detail:
IO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer / Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with ML Engineers or Data Scientists on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving sensor signal processing or computer vision. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace ML Engineer / Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML Engineering or Data Science. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant 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 solving complex challenges and how your background makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone with strong Python skills and experience in ML tooling, make sure to mention specific tools and technologies you’ve worked with. We love seeing practical examples of your work!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at IO Associates
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to signal processing and computer vision. Be ready to discuss your past projects and how you've applied ML in real-world scenarios, as this will show your practical experience.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, be prepared to talk about your collaborative experiences. Share examples of how you've worked with engineering or product teams to solve complex problems, highlighting your ability to communicate effectively across technical and non-technical groups.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in previous roles and how you tackled them. The interviewers will want to see your analytical skills in action, so be ready to walk them through your thought process and the solutions you implemented.
✨Familiarise Yourself with the Company’s Tech Stack
Research the technologies and tools that the company uses, especially those related to edge-to-cloud analytics and distributed systems. Showing that you understand their tech stack and can contribute from day one will definitely give you an edge in the interview.