Senior Machine Learning Pre-Sales Engineer

Futura Talent
Glasgow
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer

Senior Machine Learning Engineer, Gen AI

Senior Machine Learning Engineer

Senior Machine Learning Researcher | AI Hospitality Platform | London, Hybrid | Up to £160,000+ Equity & Benefits

Senior Machine Learning Researcher | AI Hospitality Platform | London, Hybrid | Up to £160,000+ Equity & Benefits

Senior Machine Learning Engineer

Senior Pre-Sales Machine Learning Engineer: £80 - £130k DOE + equity; Remote-first (UK or EU) w/ quarterly onsite at EU HQ and semi-regular attendance of events and in-person client meetings



We're partnering with a start-up with an already well-established market reputation and strong client base to find a Senior Machine Learning Engineer with strong Pharma / Biochem / Drug Discovery background to join their growing team.


These guys are revolutionising the sector with their approach allowing researchers to conduct analysis and make advances in medicine that wouldn’t be possible otherwise.



We're looking for someone who will working with the Sales and Customer Success teams, meeting client stakeholders (Biochemists, Computational Biologists etc).


You'll understand client's pain points and demonstrate how the platform can support them, either using existing functionality, functions in the roadmap which will resolve similar problems for other clients, or building mini prototypes and POC solutions for the client.


You'll also be tasked with building on the platform's reputation by establishing an expanding a network / community through attending conferences and meet-ups etc.


Please note: You must be based in the UK or EU and have full right to work to be considered for this opportunity - We cannot offer visa sponsorship.



What you'll get:

  • Competitive Salary: £80,000 - £120,000 DOE (possibly up to £130k for the right person)
  • Early-Stage equity
  • Remote-first working (quarterly on-sites in EU HQ & roughly 1 in-person meeting with clients OR event per month)
  • Personal Development: Learning and Development budget + attending industry events



Essential Skillset / Experience:

  • Minimum 2 years' commercial experience building / training ML models with a PHD / MSC / BSC in a relevant field
  • Experience working in the pharmaceutical, biotechnology, or drug discovery sector
  • Python & PyTorch
  • Experience training ML models OR working with AlphaFold, ESM-2, DiffDock etc
  • Excellent communication & presentation skills in English, confidence in working a client-facing role



Desirable (not essential) Skillset / Experience:

  • Experience in an external customer-facing role / Pre-sales role
  • Other languages eg Go, R, Rust, JavaScript
  • Cloud: AWS / Azure / GCP
  • ML tooling: MLflow, Kubeflow, Dkube, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot
  • Any MLOps / DevOps / CI / CD / containerisation tooling



Sound good?


If you'd like to find out about this exciting opportunity, please apply with your CV as soon as possible as they are looking to move quickly with this requirement.

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.