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Machine Learning Engineer

2 months ago

Eastbourne, East Sussex, United Kingdom AxisOps Full time
About Us

AxisOps is a software development consultancy that partners with innovative businesses in the Fintech and Legaltech sectors to deliver best-in-class IT automation, software development, infrastructure, and compliance services.

Job Description

We're seeking a talented Machine Learning (ML) Engineer to join our team. As an ML Engineer at AxisOps, you will be instrumental in bringing our ML/AI workload in-house. Your primary responsibilities will include:

  • Developing, deploying, and maintaining machine learning models
  • Enhancing our platforms and products by decreasing data processing times, unlocking data insights, and enabling informed data-driven decisions
  • Applying deep understanding of machine learning algorithms, data processing techniques, and software engineering principles to create high-quality, scalable, and secure software solutions
Requirements

To be successful in this role, you will need:

  • A Bachelor's, Master's, or PhD in computer science, machine learning, information retrieval, natural language processing, statistics, mathematics, engineering, or a related quantitative field (or equivalent practical experience)
  • A minimum of 2 years industry experience integrating ML algorithms and/or deep learning applications
  • Solid theoretical understanding of machine learning concepts and techniques
  • The ability to conduct comprehensive reviews and provide critical feedback on cutting-edge solutions and their applicability
  • Hands-on experience with various ML techniques and frameworks, such as data discretisation, normalisation, sampling, linear regression, decision trees, SVMs, deep neural networks, bandits, and reinforcement learning, understanding their practical applications, advantages, and limitations
  • Proficiency in Python, with experience using one or more DL software frameworks such as TensorFlow and PyTorch
  • An understanding of event-driven microservices architecture
  • Strong problem-solving skills and the ability to work independently as well as in a team
Desirable Skills

The following skills are advantageous but not required:

  • Experience with cloud platforms (e.g. AWS, GCP, Azure) and containerisation technologies (e.g. Docker, Kubernetes)
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning
  • Understanding of DevSecOps frameworks and workflows, including CI/CD pipelines for machine learning
  • Understanding of Git, Linux, Docker, and RabbitMQ
  • Contributions to open-source projects or publications in peer-reviewed journals
What We Offer

At AxisOps, we offer a dynamic and innovative work environment where you will have the opportunity to:

  • Work alongside passionate and driven professionals
  • Help shape the future of our platforms, products, and team
  • Be part of a team that values creativity, innovation, and a strong commitment to our mission

We are an equal opportunity employer and value diversity, committed to creating an inclusive environment for all employees.