Data Solutions Engineer (KTP Associate)

apartmentEdge Hill University placeBurscough calendar_month 

We’re here to create and harness knowledge, to deliver opportunity for everyone.

About the Role

This is an exciting opportunity for a Data Solutions Engineer to work on a groundbreaking project in the field of AI data science, with a highly respected academic team and a successful small business.

You will lead the delivery of embedding a new machine learning-driven data platform into the business, linking data on customer behaviours, orders, suppliers and pricing, and external market trends to provide both process automation improvements and also deep predictive insights to achieve significant productivity improvements and to scale up sales channels.

KTPs enhance your career by providing an opportunity to lead a challenging project central to an organisation’s strategic development and long-term growth. They also have a health staff development budget for the Associate.

Your main duties and responsibilities will include:

Playing a lead role in the delivery of the KTP, working with all stakeholders to ensure efficiency and success

Developing the full system and user requirements for the proposed solution

Working closely with the academic and company teams to address technical and/or research challenges arising from the project

For informal enquiries about this vacancy, you may wish to contact: Marcello Trovati, Professor in Computer Science at Marcello.Trovati@edgehill.ac.uk.

About You

As Data Solutions Engineer you will:

Possess academic and/or professional experience in machine learning development/engineering. An MSc in a relevant Computer Science discipline is essential

Demonstrate in-depth knowledge and proficiency in Python as the primary language used for the machine learning development, alongside knowledge of other programming languages such as C++ or Java. Knowledge of different machine learning algorithms and models is also essential, along with understanding and/or experience of developing technologies using Large Language Models.

Have an understanding and/or keen interest in how machine learning technologies impact on business workflows

Be able to critically analyse literature, with an ability to assess trends and evaluate risks and opportunities. With strong interpersonal and communication skills for regular liaison with project stakeholders, be highly organised, and able to work to strict deadlines.

Internal staff wishing to apply for a fixed term role as a secondment opportunity must discuss this with their existing line manager before applying.

At Edge Hill University we value the benefits a rich and diverse workforce brings to our community and therefore welcome applications from all sections of society.

Rewards & Benefits
Free foreign language, and Sign Language evening classes

Discounted membership to our onsite state-of-the-art sport and leisure facilities

Staff benefits scheme, which provides you with discounts across the high street, supermarket shopping, cinema tickets, dining out and more.
Employee assistance programme with access to free confidential counselling sessions, legal & financial advice, and as health & wellbeing resources
A wide range of development programmes to enhance your career

Beautiful award-winning on-campus working environment.

About Us

At Edge Hill University we believe in the life changing opportunities knowledge can create. Since 1885, we’ve been creating access to knowledge for those who may not have had the opportunity to before.

Today, the effect we have has a far-reaching impact, not just for those who come to study here but for those who work, invest in, and live in our local communities too. So, if you’ve ever wondered if one person can make a difference, simply speak to our alumni, students, and award-winning staff.

Because for us education isn’t about how much you take in. It’s about what you take out into the world.

Inspiring minds and changing futures since 1885, Edge Hill University is “A great success story… an institution that improves and impresses year after year” – Times Higher Education.

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