Graduate Software Engineer – Machine Learning

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.

This is an exciting time to join Peak. With our recent growth and continued expansion, we’re committed to bringing AI into the hands of more customers and businesses worldwide. As part of our engineering team, you will collaborate with talented peers, learn from experienced mentors, and contribute to building AI solutions that empower some of the world's leading brands, such as Nike, PepsiCo, and COTY. At Peak, innovation and culture go hand-in-hand, making it a rewarding and fulfilling place to grow your career.

Key Responsibilities

• Collaborate with cross-functional teams including product managers, designers, and other engineers to build and enhance software solutions.
• Write clean, scalable, and well-documented code.
• Use machine learning, statistics, and optimisation techniques, to solve business problems, and integrate those solutions into our applications
• Develop and maintain APIs, integrate with third-party services, and optimise database performance.
• Test, refine, and document software to ensure it meets the highest standards of performance and quality.
• Research, design, and implement innovative solutions to meet client and product needs.
• Stay updated with the latest trends in software engineering and technology to maintain a competitive edge.
• Provide support in the onboarding and implementation of new clients.
  
  

Required Skills & Experience

• Educational Background: Master’s degree in Computer Science, Mathematics, Statistics or a related discipline.
• Programming Experience: Exposure to Python with strong problem-solving skills.
• Fundamentals: Solid grasp of a wide range of statistical techniques. Knowledge of one or some of - machine learning, mathematical optimisation, statistical modeling, or unstructured data analytics.
• Database Knowledge: Experience with SQL and some data wrangling
• Collaborative Mindset: Ability to work effectively in team settings and communicate technical concepts clearly.
  
  

Good To Have Skills

• Exposure to cloud technologies, particularly AWS, Azure, or other platforms.
• Interest in Software Engineering and Agile practices.
• Prior internship experience or coding projects (e.g., GitHub portfolio).
  
  

Why Peak?

Joining Peak is more than just a career opportunity—it's a chance to shape the future of AI-driven solutions. As a Graduate Software Engineer at Peak, you’ll be immersed in a dynamic environment where learning never stops. You will gain hands-on experience with the latest technologies, building AI products that empower major enterprises to optimise and transform their businesses.

At Peak, you’ll be part of a diverse team of over 100 engineers and data scientists dedicated to delivering impactful solutions. Our collaborative and supportive culture ensures you won’t be limited to a single focus. Instead, you’ll have the opportunity to broaden your expertise across back-end and front-end development, as well as infrastructure-as-code skills.

Peak offers the perfect platform for ambitious engineers who are eager to continuously grow, innovate, and make a meaningful difference in the world of AI and business.

Additional Information

• Mandatory 7 months internship with Peak, starting from January 2025 with a PPO.
• Working model: During the internship, 4 days a week will be office-based. After the internship, it will transition to 3 days a week from the office.
  
  

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