Machine Learning Engineer

The purpose

The ML Engineer role at Peak helps ensure our applications operate at the cutting edge of AI, and can solve our customers most challenging problems.

What you ll be doing

You will work as part of a team to design, build and maintain our AI applications and AI tooling. Youll see your outputs deployed and used in our applications, and engaged with directly by both our internal ProServe team, as well as across our diverse customer base. Your feedback will help shape the future of the Peak platform. Theres also huge potential to tailor your role to your preferred career path as the team grows, especially within our key domains of inventory and pricing.

Youll bring strong enthusiasm for all things machine learning and data related, as well as keen interest in long-term advancement of your data and machine learning knowledge, software skills and product development practices. Your work will require you to be equally comfortable in actively collaborating with other ML Engineers, Product Managers and assorted stakeholders, as well as in carrying out independent technical research tasks. Youll bring empathy for the users of your tools and solutions, and be able to communicate articulately with your users too. Youll be excited by the prospect of building amazing machine-learning powered software products for our customers to love and depend on.

Our core values

We are looking for teammates who are:

• Open - Excellent verbal and written communication skills, including the ability to clearly communicate complex information to those in other disciplines.
• Driven - Shows high levels of drive, energy, resilience and a desire for professional excellence.
• Curious - Have natural inquisitiveness with an optimistic problem-solving mindset.
• Smart - Keep up to date with the latest developments in machine learning and software, and relevant industry announcements.
• Responsible - Effectively balance priorities and work productively as part of the team.
  

We d love it if you have

• Have 2-3 years of experience.
• Experience in one or more areas of machine learning, artificial intelligence, statistics, optimisation, operations research, Generative AI, or other highly numerate domains.
• Developed scientific software as part of a multidisciplinary team. Familiarity with engineering best practices, including CI/CD, unit and integration testing, peer code reviews, and modular code design
• Previous experience with Python
• Exposure to any of the major cloud platforms, including AWS, Microsoft Azure or GCP.
• Worked with common database technologies, including good SQL knowledge and/or experience working other NoSQL or big data technologies.
• Experience designing and/or building customer-centric software products.

Benefits

• Competitive compensation package.
• 25 days annual leave, rising to 30 with service, plus flexible bank holidays.
• Share options for everyone, when we win, we all win.
• Enhanced health insurance plans for you, your spouse and children.
• State of the art equipment (Apple Mac) to work from
• Family leave benefits, including a world class maternity pay package.
• Provident fund.
• Opportunity to spend one day volunteering.
• Subscriptions to support your mental health and wellbeing.
• Subsidised gym membership.
• Regular company and team days along with social activities.
• Travel to Peak s clubhouses around the world.
• Opportunity for professional development and certifications.
• In early 2023, we moved to an organised hybrid model that allows us to get together and collaborate in person but also offers flexibility. We promote flexible working hours with our team working 3 days onsite in our clubhouses with an option of 2 days remote.