The Opportunity 

Our mission is to change the way the world works by democratizing AI for every business, and to build a great company that everyone loves being a part of. These two goals haven’t changed since the days when Peak was little more than an idea forming in the heads of our founders Richard, Atul and Dave.

At Peak, we’re revolutionizing inventory and pricing optimization with the only AI platform that consistently delivers real commercial gains. By joining our team, you’ll contribute to helping some of the world’s leading businesses — including the likes of Nike,  Heidelberg Materials and Boohoo — harness the potential of AI to grow revenues, increase profits and efficiencies.

We have ambitious plans for the future and that means we're looking to welcome new people to our team. At Peak, culture and success come hand in hand — so creating and protecting a company culture that’s true to our values remains a fundamental aspect of our mission. Our company values are built on being Smart through expertise and results, Curious in our relentless problem-solving, Open with an approachable and helpful mindset, Driven by ambitious goals and commitment, and Responsible by taking ownership and delivering with trust.

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. You'll 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. There's 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.

You'll 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. You'll bring empathy for the users of your tools and solutions, and be able to communicate articulately with your users too. You'll 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.

Diversity, equity & inclusion

We’re here to change the way the world works and build an amazing company that everyone loves being part of. We know diverse perspectives and experiences result in better solutions, which is why we want all of our Peakers to bring their authentic selves to work.

We’ve been striving to build a diverse and inclusive team from the outset. It’s a continuous journey, and there’s more we can do — but we’re proud of what we’ve achieved so far, which is ahead of the tech industry standard.

We’ve set targets in relation to gender and ethnicity, for now, but we know there’s more to diversity than just these two areas. We’re passionate about creating an inclusive environment for those of all ages, religions, sexual orientations, socio-economic status and for those with disabilities.

We are proud to be a Disability Confident Committed employer — a UK Government certification for organisations actively taking steps to attract, recruit and retain persons with disabilities. If you need any reasonable adjustments as part of the recruitment process, please let us know.

About Peak

Founded in Manchester in 2015 by Richard Potter, David Leitch and Atul Sharma, Peak is on a mission to change the way the world works by democratising AI for every business.

Peak’s AI platform optimizes inventories and pricing for global industry leaders including Nike, B&M, Heidelberg Materials and Eurocell. With a core belief that businesses need their own AI — built for their business, with their data — Peak’s pre-built AI products can be configured to fit unique requirements.

From a decade of successful AI deployments, Peak has a proven track record of delivering rapid performance gains for its customers helping to increase their revenues, profits and efficiency. 

Founded in 2015, Peak has raised $119m funding to date with its most recent Series C funding round led by SoftBank’s Vision Fund II. Key partnerships with AWS, Snowflake, UiPath and SAP enable Peak to further accelerate AI adoption across industry. 

www.peak.ai

@Peak_HQ

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Inclusion & Diversity at Peak

Our mission at Peak is to help businesses do great things with AI - we are the innovators, the disruptors and the game changers. Diverse and inclusive companies will drive the fourth industrial revolution - and we will lead from the front. 

Over the next 5 years, we need more than words to create a stronger company and a fairer society, which is why Peak is committed to not only creating an amazing place to work, but a diverse and inclusive one too.

We want to create awesome teams and leadership, where everyone can bring their authentic selves to work and their ideas to solve the complex problems for the companies and the communities we serve.

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