Senior Aiml Engineer

Welocity

Glasgow, Cambridge

On-site

GBP 90,000 - 125,000

Full time

45 hours ago
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Job summary

Welocity is seeking a Senior AIML Engineer in the UK (Glasgow or Cambridge) to advance its AI/ML capabilities and drive practical, scalable solutions across the business. You will lead the development and deployment of cutting-edge models, collaborating with cross-functional teams to ensure alignment with strategic goals and operational needs.

You will mentor junior engineers, shape AI initiatives, and ensure robust cloud-based deployments on AWS/Azure/Google Cloud.

Qualifications

  • Extensive experience with AI/ML frameworks and model deployment.
  • Proven track record leading AI projects in business environments.
  • Strong programming skills in Python, R, or Java; able to mentor juniors.

Responsibilities

  • Develop and deploy advanced AI and ML models to improve operational efficiency and effectiveness.
  • Lead design and implementation of AI solutions aligned with business goals and industry standards.
  • Collaborate with cross-functional teams to integrate AI technologies into existing systems and processes.
  • Conduct research and stay updated with latest AI/ML advancements to incorporate cutting-edge techniques.
  • Oversee data collection and preprocessing to ensure high-quality training data.
  • Provide technical leadership and mentorship to junior engineers.

Skills

Python
TensorFlow/PyTorch
Cloud deployment
Cross-functional collaboration
Mentorship
Java
R

Education

Bachelor's or Master's in Computer Science / AI / ML

Tools

TensorFlow
PyTorch
AWS
Azure

Job description

The Senior AIML Engineer will play a critical role in advancing our artificial intelligence and machine learning capabilities. Based in either Glasgow or Cambridge, this position is essential for driving innovation within our technology team. The role involves developing cutting-edge AI and ML models and systems that will enhance the efficiency and capabilities of our operations. This position is a key part of our strategic aim to advance our technological edge in the marketplace. The successful candidate will lead complex projects, collaborating with cross-functional teams to implement AI solutions that align with business objectives. This role offers an opportunity to work at the forefront of technology, with a focus on practical applications of AI and ML to solve real-world problems. As a senior member of the team, the AIML Engineer will mentor junior engineers and contribute to the strategic planning of AI initiatives.

Key Responsibilities
  • Develop and deploy advanced AI and ML models to improve operational efficiency and effectiveness.
  • Lead the design and implementation of AI solutions, ensuring they align with business goals and industry standards.
  • Collaborate with cross-functional teams to integrate AI technologies into existing systems and processes.
  • Conduct research and stay updated with the latest advancements in AI and ML to incorporate cutting-edge techniques into projects.
  • Oversee the data collection and preprocessing processes to ensure high-quality data for model training.
  • Provide technical leadership and mentorship to junior members of the engineering team.
  • Evaluate and optimize AI models for performance and scalability.
  • Prepare technical documentation and presentations for stakeholders to communicate AI project results and insights.
Requirements
  • Extensive experience with AI and ML frameworks such as TensorFlow, PyTorch, or similar.
  • Proven track record of designing and implementing AI solutions in a business environment.
  • Strong programming skills in Python, R, or Java with a focus on AI and ML applications.
  • Experience in leading AI-focused projects and working in cross-functional teams.
  • Strong analytical and problem-solving skills with the ability to interpret complex data into actionable insights.
  • Excellent communication skills to articulate complex AI concepts to non-technical stakeholders.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI deployments.
Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

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