Machine Learning Scientist- Innovative Software Start-Up

Oxford Knight
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior/Lead Machine Learning Scientist (Hands On)- International Consumer Bank

Applied AI and Machine Learning Scientist - Senior Associate

Machine Learning Engineer (Applied AI) (100% Remote in EMEA)

Senior Data Scientist & Machine Learning Researcher

Principal Data Scientist & Machine Learning Researcher

Location:Hybrid / Central London

Unique opportunity for a motivated simulation & optimisation specialist to join a rapidly growing and diverse tech start-up. They combine distributed computing, simulation technology and machine learning to develop an autonomous system that's being adopted by some of the biggest public transport networks in Europe. Now looking for a creative ML Scientist to help roll out this system to more clients.

This a central role in a very exciting and ambitious product development phase where you will be building prediction, simulation and optimisation-based software products. You'll have the opportunity to drive the choice of technologies used, transforming applications and experimenting with the best new tools for the job based on client needs and industry trends. You will share responsibility for software development, integration and deployment.

You'll join a team of urban modelling experts, software engineers and data scientists, driven by a shared desire to improve the world around them, to bring something impactful and unique to market and to create a rewarding, fun, working environment.

Requirements

  • 3+ years' professional experience in data science, machine learning and/or operations research, including experience working on simulation and/or optimisation products
  • Proficiency in Python and its scientific stack
  • Mathematical approach: able to understand & develop complex statistical and computational modelling techniques
  • Bachelor's degree in a quant field (maths, physics, statistics, computer science, data science, machine learning, operations research, etc.)


Nice to have

  • Knowledge of Java, particularly in the context of simulation, or keen to learn
  • Knowledge of database concepts and SQL, or keen to learn
  • Experience using cloud computing resources; GCP would be ideal


Benefits

  • Great opportunity to be part of a collaborative, creative environment where you work truly has a direct impact
  • Competitive salary + generous benefits package
  • Join an early-stage start-up at this exciting and critical time when you can help shape the future of the company
  • In-house and external training opportunities and genuine career development; healthy work-life balance with remote-friendly workplace



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.