Founded in 2014, Peak has grown rapidly, winning numerous awards and attracted significant funding to support the company’s mission of becoming the world’s leading provider of Artificial Intelligence solutions to enterprise clients.
Key to this is the development of our ground-breaking AI System (AIS). The platform incorporates machine learning and artificial intelligence algorithms to revolutionise the way companies use their data.
Peak is an Advanced AWS Partner, and holds Machine Learning Competency status. Our engineers are at the forefront of developments in the emerging AI sector, building the Peak AI System and delivering AI Solutions to clients. The role will lead a cross functional team to continuously develop the AIS, be a figurehead for AI Engineering and Peak in the market and ensure we are always delivering for clients.
You’ll be working with cutting edge technologies leading a highly collaborative team to grow Peak into a global tech leader.
Leading the AI Engineering team to develop AI and ML features’ capabilities in the AIS. Ensuring the AIS has a portfolio of out of the box solutions to solve optimisation and growth problems.
Helping the Product and Data Science teams to define core AI and ML platform features.
Providing technical leadership to the Engineering teams building the AI Features.
Recruiting, mentoring and developing a high performance AI Engineering team which will include Software Engineers and Data Scientists. Identifying key competency gaps and facilitating training for the AI team.
Researching, designing and writing new applications and features.
Collaborating with Architects, Engineers and Data Science teams to help select the right technologies. Providing feedback on technology choices and best-in-breed relevant software for use with AI technologies.
Contribute to the product road map, run and lead spikes and design sprints to help the Product team to define features.
Effective communication across the business to showcase AI Engineering product and capability.
Testing, fault finding, and fixing as an end user when required.
Sprint groom, feature hand over, technical specifications and test plans for AI Engineering team.
Consulting clients and colleagues concerning the maintenance and performance of AI software systems.
Continually updating your technical knowledge and skills.
Building and maintaining relationships in the AI community which help Peak to increase awareness about our product, capability and team.
At Peak we believe in an open, transparent and friendly relationship with our clients and co-workers alike. As individuals, we are approachable and trustworthy; as a company, we are highly committed to our customers and employees. We listen to and gain a deep understanding of our customers’ needs. We take pride in our work, which is always of the utmost quality, and we are confident in our ability and expertise.
We are looking for colleagues who are:
Open - share success and improvements well across the business.
Straightforward – deal with colleagues and customers in a transparent manner.
Driven – a strong work ethic to deliver real results for customers.
Curious - able to conceive and deliver unique solutions.
Smart – keeps up to date with the latest tech news, launches and product updates, market results and industry announcements.
Responsible - takes ownership and promotes responsibility in others.
Peak uses a range of modern tech that requires a diverse skill set. A willingness to learn and a natural curiosity about tech is essential and some experience of the following would be great:
A track record in product development , with proficiency in standard machine learning techniques and also deep learning frameworks (such as TensorFlow or Keras), as well as skills in programming languages such as Python, Java, or R.
Expertise in visualising and manipulating big datasets, APIs, CI/CD, Kubernetes, Docker and an ability to select hardware to run a Machine Learning model with the required latency.
Experience in using Data Analytics, ML and statistics to solve business problems.
The ability to effectively share knowledge with colleagues in data science and Engineering and represent Peak externally as appropriate.
Line management and coaching experience to lead a team.
Expertise in building AI Features which can be configured for multiple customers using the same product.
Strong experience in collaborating with technical and non technical teams.
Strong communication skills to explain the big picture, ML black box solutions to customers and non technical colleagues. Ability to present complex ideas to people who may not have a deep understanding of the subject area.
Ability and experience of working in an agile environment to deliver high quality product features in a fast moving startup. Self-motivated and can work towards a common vision with little oversight.
Broad technical interests along with a deep knowledge of a particular field such as computer vision, data science and machine learning, advanced computing, and autonomy and artificial intelligence.
Opportunity to help scale Peak and make a large impact in a fast-growing company with global ambitions.
Competitive compensation package, share options, pension and generous holiday entitlement.
Working with cutting edge tech - you will develop skills and experience essential in the modern economy.
A fantastic working environment with open communication channels, flat hierarchy and a truly collaborative style.
Peak has a strong culture that we live by, based on shared values: we are open, straightforward, smart, responsible, curious and driven.
In an age when becoming AI and data-driven is one of the most important things businesses must do, it can also be one of the most challenging. That’s where Peak comes in; our AI System sits at the heart of our client’s businesses, enabling the rapid unification, modelling and - most importantly - use of data. All supported by our world-class data science team.
Headquartered in Manchester, Peak also has offices in London, Edinburgh, Jaipur and Brisbane. Our clients include established FTSE 250 retailers, manufacturers and well-known brands alongside highly innovative and tech-savvy businesses.
Find out a whole lot more on our website
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