Job Description

We're on the lookout for a talented Machine Learning (ML) Engineer to join our software development consultancy in Eastbourne. The ideal person will have considerable experience developing, deploying and maintaining machine learning models.

As an ML Engineer at AxisOps, you will be instrumental in bringing our ML/AI workload in-house. You will enhance our platforms and products by decreasing data processing times, unlocking data insights and enabling informed data-driven decisions. You will bring a deep understanding of machine learning algorithms, data processing techniques and software engineering principles, with a passion for creating high-quality, scalable and secure software solutions.

Who we are:

AxisOps is a small, thriving software development consultancy based in Eastbourne, UK. We partner with fast-moving, innovative businesses in the Fintech and Legaltech sectors to deliver best-in-class IT automation, software development, infrastructure and compliance services.

We're all about the excitement of crafting great software, and the enjoyment of growing and learning together as a team.

Our culture:

Our culture is friendly, personable and hard-working, with a commitment to "never stop learning".

This is complimented by our brand values of:

Integrity above profit
Realistic pioneers
Focused on automation
Excellence in delivery

If you've got the skills we're looking for, and a genuine passion to positively impact our industry, we'd love to hear from you!

Required qualifications, skills and experience:

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

Advantageous:

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

Why join us:

At AxisOps, we are leading innovation in the Fintech and Legal Tech sectors. Our team is dedicated to developing cutting-edge solutions that enhance efficiency and deliver exceptional user experiences.

By joining us, you will:

Work in a fast-paced, dynamic environment 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

Applications will be accepted until 30/09/24.

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

AxisOps jobs

Machine Learning Engineer