Process System Engineer/Data Scientist

Hexxcell
Greater London
2 days ago
Create job alert

Job Description

Hexxcell is seeking to fill a full-time position for a talented Process Systems Engineer/Data Scientist to join our growing and talented R&D team. You will be working in cutting-edge digitalisation projects with Blue Chip companies to solve crucial problems involving the analysis of terabytes of industrial data, supporting them in the Industry 4.0 revolution to a greener and digital future. The successful candidate will work in close collaboration with colleagues and clients to develop, apply and deploy advanced mathematical models of industrial processes that drive significant energy efficiency and environmental benefits.  


About Hexxcell

While the energy transition to renewable energy is on its way and has been significantly accelerated by the current pandemic, our life heavily relies on energy, food, materials, chemicals and pharmaceuticals produced by traditional large-scale industries. If we want to make a real impact on the environment and our society, transitioning these industry to a greener future is paramount.

Hexxcell’s mission is to develop and deploy digital technology to enable and accelerate the process industry’s transition to cleaner, more efficient and profitable operations.


We are a fast-growing company based in Hammersmith, London. The company span-out from Imperial College London acquiring techno...

Related Jobs

View all jobs

ML Engineer / Data Scientist

Machine Learning Engineer

Machine Learning Engineer (Manager)

Staff Machine Learning Engineer

Machine Learning Engineer (Manager)

Machine Learning Engineer

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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.