Pre-sales Senior Technical Solutions Engineer (Data and AI)

Pre-sales Senior Technical Solutions Engineer (Data and AI)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Build strong client relationships and provide technical solutions in Data and AI.
  • Company: Join a diverse tech company committed to innovation and inclusivity.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Travel opportunities and dynamic work environment with excellent career progression.
  • Why this job: Be at the forefront of Data and AI, making a real impact with clients.
  • Qualifications: Experience in Data Science or Machine Learning and strong programming skills required.

The predicted salary is between 60000 - 80000 £ per year.

Req ID

Recruiter

Dina Hussain

Location

London (or surrounding areas)

You will be reporting to the Manager, Field Engineering.

  • Impact
  • Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
  • Gain excitement from clients about the company through hands‑on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
  • Contribute to building the technical community through engagement at workshops, seminars, and meet‑ups.
  • Become a Big Data Analytics advisor on aspects of architecture and design.
  • Support customers by authoring reference architectures, how‑tos, and demo applications.
  • Develop both technically and in the pre‑sales aspect with the goal of becoming an independently operating Solutions Architect.

Qualifications

  • Experience in technical customer‑facing roles with a background in Data Science, Generative AI, Machine Learning, Data Warehousing or Data Engineering.

• Experience in at least one of the following vertical sectors

  • Entertainment, Media, Telco and/or Hospitality.
  • Financial Services and Insurance (FSI).
  • Retail / CPG (Consumer Package Goods).
  • Experience in pre‑sales or post‑sales engagement with external clients.
  • Familiarity with creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
  • Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset.
  • Programming skills in a core language such as Python, Java, or Scala.
  • Knowledgeable in a core Big Data Analytics domain, with some exposure to advanced proofs‑of‑concepts and an understanding of a major public cloud platform (AWS, GCP, Azure).
  • Experience in solution architecture and design.
  • Travel to customer sites in the UK, approximately 20–30% of the time.
  • Nice to have: Company certification.
  • Legal and Equality

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel.

We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals seeking employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

If access to export‑controlled technology or source code is required for the performance of job duties, it is within Employer's discretion whether to apply for a U.

S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Pre-sales Senior Technical Solutions Engineer (Data and AI)

Technical Customer-Facing Experience
Data Science
Generative AI
Machine Learning
Data Warehousing
Data Engineering
Pre-Sales Engagement