National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Field Engineer

Skills Alliance
Glasgow
8 months ago
Applications closed

Related Jobs

View all jobs

Firmware Engineer - Complex Technology

Applied Scientist, ATS Machine Learning & Engineering (ML&E)

Applied Scientist, ATS Machine Learning & Engineering

Software Engineer - Machine Learning Backend

Software Engineer - Data Science

Investment Data Scientist

Responsibilities

  • Engage with prospective clientsto grasp their scientific and technical needs, challenges, and goals. Use these insights to design and deliver customized product demos that highlight solution benefits.
  • Translate complex scientific needs—such as requirements in biochemical analysis, molecular modeling, or drug discovery
  • Collaborate with researchers and computational scientiststo help them explore how technology can support key areas like protein folding, molecular simulations, and drug discovery.
  • Serve as a technical resourcefor commercial and pre-sales teams.
  • Lead and oversee proof-of-concept initiativesand pilot projects with potential clients
  • Gather and communicate client feedbackto product and development teams



Qualification

  • MSc or PhD in Computational Biology, Computer Science or related fields, with 2+ years of industry experience
  • Experience incomputational biology tasks, molecular simulations, or analyzingbiochemical data pipelines
  • Used predictive biology tools, focused onprotein structure prediction orADME-tox analysis
  • Client Engagement: Passionate about directly interacting with clients, understanding their challenges, and providing technical support to enhancesales outcomes
  • Programming:Python proficiency is essential, and knowledge of additional languages (e.g.,R, Go, Rust, JavaScript)
  • ML Implementation Experience: Practical skills in deploying ML using a range ofopen-source tool
  • Cloud Platform Variety: Experience withmulti-cloud or on-premise solutions
  • Distributed Systems Knowledge: Skilled in working with or deploying distributed systems
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

Jobs

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.