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Form of work
SalaryMachine Learning Engineer (Edinburgh)
As a ML engineer, you will be responsible for designing, developing, and deploying ML algorithms and models that can enhance our products and services, improve customer satisfaction, and optimize operational efficiency. You will work closely with other engineers, data scientists, and business stakeholders to understand the challenges and opportunities, and deliver innovative ML solutions that can meet the needs and expectations of our clients.
Objectives:
- Solve complex problems with varied data
- Build highly accurate AI/ML models, algorithms and supporting tools
- Deploy solutions to Production level environments
- Stay up to date with developments in the ML and AI space
Experience:
- At least 3 years production level experience in implementing AI/ML and algorithmic solutions
- Analysing, visualising and understand raw sensor data
- Experience with structured, unstructured and streaming data
- Selecting optimal data sets and features for ML models
- Critically analysis and selection of the correct AI/ML models for the given problem domain
- Quantifying the accuracy of algorithms and ML models
- Testing and deploying ML models into a production level environment or application
Responsibilities:
- Research and develop new ML and algorithmic models
- Train, retrain and monitor Machine Learning systems and models as needed
- Deploy, monitor and maintain Data Pipelines
- Collaborate with Software Engineers, Hardware Engineers, Data Engineers and Key Stakeholders.
- Continuous improvement of ML, algorithms and data pipelines
Skills and Qualifications:
- Deep knowledge of maths, probability, statistics and algorithms
- Good knowledge of AI/ML areas, tools and techniques
- Proven, real-world experience deploying a production level AI/ML solution.
- A Bachelor's degree (or equivalent) in Machine Learning, Computer Science, Mathematics, Physics or similar; Masters level and a above is a plus.
- Excellent communication and collaboration skills.
- Proficiency with Python and associated AI/ML frameworks
- Experience with other programming languages such as C/C++/C#/Typescript
- Writing robust and testable code
- Experience with various DevOps tools
Nice to Have:
- Signal processing / Sensor fusion
- Exposure to Unity3D or Unreal Engine
- Experience in electronics/ sensors/ robotics
- Interest in 3D gaming technology
- Exposure to ML Ops
- Experience with cloud platforms such as Azure, AWS, Google cloud, etc.
