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

Nominate & Attend

Machine Learning Field Engineer

Skills Alliance
London
8 months ago
Applications closed

Related Jobs

View all jobs

MLOps Field Engineer

Data Engineer

Machine Learning Engineer - User Behaviour (Basé à London)

Machine Learning Engineer - User Behaviour

Machine Learning Engineer - User Behaviour (Basé à London)

Applied Scientist, ATS Machine Learning & Engineering (Basé à London)

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

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

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.