Machine Learning Engineer

Oho Group Ltd
Edinburgh
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Computer Vision

Machine Learning Engineer (NLP)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (NLP)

Machine Learning Engineer - Stealth-Mode Startup | Edinburgh | Research-Focused


A unique opportunity has arisen for a talented machine learning engineer to join a stealth-mode startup based in Edinburgh. Focused on applied machine learning and advanced statistical modeling, this role offers the chance to be part of a founding team shaping the future of a groundbreaking company.


The Opportunity

As a Machine Learning Engineer you will work at the forefront of Bayesian modeling, tackling complex problems across diverse industries. They will lead the development of cutting-edge probabilistic models, contribute to experimental design optimisation, and collaborate on transformative research projects.


The ideal candidate would have:

  • 2+ years experience as a Machine Learning Engineer
  • A degree / PhD from a top university in a relevant field (bonus points if it was heavily statistics focussed)
  • Expertise in Bayesian statistics and a passion for innovation.
  • You thrive in a research-intensive environment and are excited by the challenge of building technology in uncharted domains
  • You're a curious mindset, strong technical expertise, and the ability to work autonomously are essential.


Why Join?

This is a rare chance to be part of a stealth-mode startup with a vision to revolutionise experimentation. Based in Edinburgh, the company offers the excitement of an early-stage venture, the opportunity to shape its culture and direction, and the chance to create meaningful global impact.


For those ready to push the boundaries of applied machine learning, this role promises unparalleled challenges and rewards!


Machine Learning Engineer - Stealth-Mode Startup | Edinburgh | Research-Focused

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.