Remote Data & AI Engineer in Liverpool

Remote Data & AI Engineer in Liverpool

Liverpool Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Profectus Recruitment

At a Glance

  • Tasks: Design and implement AI systems that transform business decision-making.
  • Company: Fast-growing start-up revolutionising industries with data and AI solutions.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Client-facing role with occasional travel across the UK.
  • Why this job: Join a dynamic team and make a real impact with cutting-edge technology.
  • Qualifications: Degree in relevant field and 2+ years of experience in a similar role.

The predicted salary is between 80000 - 100000 £ per year.

Remote, with occasional travel to client sites. Profectus Recruitment are proud to be partnered with a fast-growing and forward-thinking start-up that is harnessing the power of data and artificial intelligence to deliver transformational impact to business owners and investors alike. This is an exceptional opportunity to join a business that is already making waves across multiple industries, delivering cutting-edge AI-driven solutions tailored to real-world problems.

Our client is on the lookout for a Data and AI Engineer who is not only technically excellent but also thrives in client-facing environments. This is a remote role with the flexibility to manage your own time, although you’ll occasionally travel to meet clients and deliver solutions face-to-face. You’ll work closely with the Director of Products to design and implement scalable, production-ready AI systems that directly shape strategic decision-making for clients.

What we’re looking for:

  • We are keen to hear from individuals who demonstrate a balance of technical strength, curiosity, and entrepreneurial spirit.
  • This role would suit someone who wants to take ownership of their work, enjoys solving complex challenges, and can build strong relationships with clients.

Key Attributes:

  • Excellent stakeholder management skills, with a proven ability to build trust and communicate clearly.
  • Confident presenting technical solutions to clients through demos and workshops.
  • Naturally curious and highly motivated to explore innovative problem-solving.
  • Demonstrates initiative and a proactive, ownership-driven mindset.

Technical Experience:

  • Proven experience designing and maintaining secure, scalable applications using AWS, GCP, or Azure.
  • Skilled in Python and SQL, with a passion for turning data into insights.
  • Experience building and deploying CI/CD pipelines.
  • Solid background in data modelling and data transformation for analytics and AI.
  • Hands-on experience working with or applying Large Language Models (LLMs) to real-world use cases.
  • Collaborative, client-focused approach to delivering tailored technical solutions.

Qualifications & Experience:

  • A degree (BSc or MSc) in Computer Science, Data Science, Engineering, or a related field.
  • Minimum of 2 years in a similar role with demonstrable project delivery experience.

Please note if you aren’t willing to travel semi-regularly within the UK to meet with clients and/or aren’t looking for this client-facing aspect of the role then please do not apply.

Remote Data & AI Engineer in Liverpool employer: Profectus Recruitment

Profectus is an exceptional employer for those seeking a rewarding career in Cyber Security, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, we provide comprehensive training and development opportunities, ensuring our team members are equipped to excel in their roles. The flexibility of remote work combined with occasional travel allows for a balanced lifestyle while engaging with industry leaders and making a significant impact in the Cyber Security landscape.

Profectus Recruitment

Contact Details:

Profectus Recruitment Recruitment Team

We think you need these skills to ace Remote Data & AI Engineer in Liverpool

AWS
GCP
Azure
Python
SQL
CI/CD Pipelines
Data Modelling