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- Tasks: Design and build predictive models for optimising robotic systems and data pipelines.
- Company: Join Grid Dynamics, a leader in AI and technology consulting.
- Benefits: Enjoy a competitive salary, flexible schedule, and professional development opportunities.
- Why this job: Work on cutting-edge projects that make a real impact in the tech world.
- Qualifications: 4+ years in ML, strong Python skills, and experience with predictive models.
- Other info: Collaborative team environment with exciting corporate events and growth potential.
The predicted salary is between 48000 - 84000 £ per year.
Design pipelines to ingest telemetry and sensor data from physical assets. Build predictive models to optimize CNC/robotic arm utilization and scheduling. Work with the Simulation Engineer to validate model impact in virtual environments. Implement dynamic feedback loops between real and simulated systems. Create dashboards for performance metrics and anomaly detection.
Responsibilities
- Design pipelines to ingest telemetry and sensor data from physical assets.
- Build predictive models to optimize CNC/robotic arm utilization and scheduling.
- Work with the Simulation Engineer to validate model impact in virtual environments.
- Implement dynamic feedback loops between real and simulated systems.
- Create dashboards for performance metrics and anomaly detection.
Requirements
- 4+ years working with time-series or predictive ML models.
- Strong experience in Python, Pandas, Scikit-learn, PyTorch or TensorFlow.
- Familiarity with Kafka, Spark, or cloud-based streaming systems.
- Understanding of factory scheduling, queueing theory, or optimization is a plus.
- Experience collaborating with simulation or robotics teams is highly valued.
- Openness to working evenings to overlap the American time zone (up to 9 pm CEST).
- Nice to have: Agile, quick learner, good collaborator and communicator.
We offer
- Opportunity to work on bleeding-edge projects.
- Work with a highly motivated and dedicated team.
- Competitive salary.
- Flexible schedule.
- Benefits package - medical insurance, sports.
- Corporate social events.
- Professional development opportunities.
- Well-equipped office.
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting
Senior ML Engineer in East Dean employer: Grid Dynamics
Contact Detail:
Grid Dynamics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer in East Dean
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Grid Dynamics. A friendly chat can open doors and give you insider info on what they’re really looking for.
✨Tip Number 2
Show off your skills! If you’ve got projects or models that demonstrate your expertise in predictive ML, don’t hesitate to share them. A portfolio can speak volumes about your capabilities.
✨Tip Number 3
Prepare for the interview by brushing up on relevant tech. Make sure you can discuss your experience with Python, Pandas, and any other tools mentioned in the job description. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Grid Dynamics.
We think you need these skills to ace Senior ML Engineer in East Dean
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with time-series and predictive ML models. We want to see how your skills in Python, Pandas, and frameworks like PyTorch or TensorFlow align with what we're looking for.
Showcase Relevant Projects: Include specific projects where you've designed pipelines or built predictive models. We love seeing real-world applications of your skills, especially if they relate to CNC or robotics!
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so make sure you communicate your passion for machine learning and how you can contribute to our team.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Grid Dynamics
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Pandas, Scikit-learn, and either PyTorch or TensorFlow. Brush up on your experience with time-series or predictive ML models, as these will be crucial for the role. Be ready to discuss specific projects where you've used these technologies.
✨Understand the Business Context
Familiarise yourself with factory scheduling, queueing theory, and optimisation concepts. This knowledge will help you articulate how your work can impact the business positively. Think of examples where your models have improved efficiency or decision-making.
✨Collaboration is Key
Since you'll be working closely with a Simulation Engineer, prepare to discuss your collaborative experiences. Highlight any past projects where teamwork was essential, especially in robotics or simulation contexts. Show that you can communicate effectively across disciplines.
✨Be Ready for Flexibility
The role may require working evenings to align with American time zones. Be upfront about your availability and willingness to adapt your schedule. This shows your commitment and flexibility, which are highly valued traits in this position.
