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Lead AI Engineer - AI Innovation Team - GenAI Developer - Azure

Aventis Solutions

Greater London

Hybrid

GBP 60,000 - 100,000

Full time

10 days ago

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Job summary

Join a pioneering AI Innovation Team at a forward-thinking company where you will play a crucial role in developing and deploying cutting-edge AI solutions. As a Machine Learning Engineer, you will bridge the gap between data science and software engineering, ensuring that AI models are effectively built and scaled. This role offers the opportunity to work with vast datasets and advanced technologies, driving real business impact. With flexible remote options and a clear path for growth into leadership roles, this position is ideal for those passionate about leveraging AI to solve real-world challenges.

Benefits

Flexible Remote Working
Career Progression Opportunities
Collaborative Work Environment
Health Insurance
Professional Development Support

Qualifications

  • Experience in developing and deploying AI/ML models for business applications.
  • Ability to build high-performance data pipelines integrating various data sources.

Responsibilities

  • Develop and deploy AI/ML models for large-scale applications.
  • Collaborate with teams to align AI solutions with business goals.

Skills

Machine Learning
AI Model Deployment
Data Pipeline Development
CI/CD Implementation
Collaboration with Cross-Functional Teams

Education

Bachelor's Degree in Computer Science
Master's Degree in Data Science

Tools

TensorFlow
PyTorch
AWS
Docker

Job description

This range is provided by Aventis Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Aventis Solutions is partnering with a leading technology team to build a cutting-edge AI Innovation Team, and we are looking for an exceptional Machine Learning Engineer / MLOps Engineer / AIOps Engineer / AI Data Engineer / Data Scientist / Data Science Engineer / Software Engineer Tech Lead to be at the heart of this transformation.

Call it what you want, but this is a critical role for someone who can bridge the gaps between data science, data engineering and software engineering, ensuring AI/ML models are successfully built, deployed and scaled. You will work on real-world machine learning applications, leveraging vast datasets and cutting-edge technology to create real business impact.

Location: London-based HQ + flexible remote working options

Future Growth: Opportunity to progress into a more rounded Head of AI Engineering very quickly. Or, move into wider architecture type positions. There's plenty that this can lead to, and the firm will support this from the off.

Key skills desired / what you will be doing:

  • Develop and deploy AL/ML artificial intelligence / machine learning models for large-scale business applications.
  • Build and maintain high-performance data pipelines, integrating structured and unstructured data sources.
  • Take AI models from prototype to fully scalable production systems.
  • Implement CI/CD pipelines for automated deployment and real-time model monitoring.
  • Collaborate with data scientists, software engineers, and product managers to align AI solutions with commercial goals.
  • Financial services experience is desired but not essential.

Role Overview:

We are looking for someone who is as comfortable developing AI/ML models as they are engineering the infrastructure to deploy and scale them. You will thrive in a fast-paced, collaborative environment and have a passion for leveraging AI/ML to solve real-world challenges. Overall, this is a rare opportunity to be part of a pioneering AI Innovation Team, shaping the future of AI within a leading organisation where other companies are lagging behind.

Interested? Please submit your CV via LinkedIn or message Billy Hall for further information.

Aventis Solutions is acting on behalf of our partner.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology, Product Management, and Strategy/Planning
  • Industries
    Software Development, Technology, Information and Media, and Data Infrastructure and Analytics

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