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For Companies At a Glance
- Tasks: Develop and deploy cutting-edge ML solutions for real-world challenges.
- Company: Join a leading tech firm in London/Aylesbury with a collaborative culture.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Exciting projects in defence, robotics, and autonomous systems await you.
- Why this job: Make a real impact by solving complex problems with innovative technology.
- Qualifications: Strong background in ML Engineering or Data Science and 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 in London employer: IO Associates
Contact Detail:
IO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer / Data Scientist in London
✨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 interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with edge-to-cloud analytics pipelines and how you've tackled real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace ML Engineer / Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the ML Engineer/Data Scientist role. Highlight your experience with machine learning, sensor signal processing, and any relevant projects you've worked on. 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 solving complex challenges and how your background makes you a great fit for our team. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects: If you've worked on any projects that involve edge-to-cloud analytics or computer vision, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. 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. This will show that you’re not just familiar with the theory but can also implement it effectively.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked with technical and non-technical teams to solve complex problems. This will demonstrate your ability to communicate and work well with others.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Brush up on Python and any relevant ML tools you’ve used. Practising coding problems related to data pipelines or sensor data processing can give you an edge and help you feel more confident.
✨Understand the Company’s Mission
Research the company’s projects and values, especially in defence, security, and robotics. Being able to articulate how your skills align with their mission will show your genuine interest in the role and help you stand out as a candidate who is not just looking for any job, but this specific one.