Machine Learning Engineer

Cathcart Technology
Edinburgh
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer - London

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Cutting-Edge Tech Startup

Machine Learning Engineer required to join a brand-new startup at the forefront of technology, innovation, and societal impact. Having recently secured long term funding, the team are getting to work in their mission to revolutionise research across industries like clinical trials, market research, manufacturing, and beyond. By leveraging state-of-the-art technologies, the company is driving smarter, faster, and more efficient experimentation-unlocking breakthroughs that save lives, promote sustainability, and redefine what's possible.

This is a chance to solve fascinating, real-world problems while contributing to meaningful change. You'll engage in diverse, challenging projects, from improving medical trials and reducing harm to patients and animals to optimising industrial processes and advancing sustainable practices. Every task you tackle will have a tangible impact on both the industry and society, making your work not only intellectually stimulating but also deeply rewarding.

The Role

We're looking for a talentedMachine Learning Engineerwith a passion for innovation and a deep curiosity about tackling tough challenges. In this role, you will develop advanced statistical models to optimise complex experimental designs, leveraging cutting-edge techniques to create impactful solutions. You'll collaborate closely with clients and cross-functional teams to tailor these models to diverse industries, ensuring they address specific needs and opportunities. By diving deep into sector-specific problems, you'll drive innovation and champion creative solutions that make a real difference. As a founding team member, you will play a pivotal role in shaping the company's culture, best practices, and strategic direction, leaving a lasting mark on this groundbreaking organisation.

This is your chance to leave a lasting mark on a groundbreaking organisation while growing alongside the company.

What We're Looking For

** Advanced understanding of Bayesian methods, probabilistic modelling, and machine learning techniques.

** Hands-on experience with probabilistic programming frameworks like Pyro, Stan, or JAX.

** Strong mathematical foundations, with expertise in

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.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.