Principal Software Engineer - Remote (Edinburgh) - 100-120K

Edinburgh
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Principal Software Engineer

Senior Software Engineer (GO/PHP)

Powertrain Software Engineer

Principal MLOps Engineer - Chase UK

Principal Data Science & ML Engineering Consultant

Principal Software Engineer - Remote (Edinburgh) - (Apply online only)K plus Bonus and more

*** Remote with occasional trips to their Central Edinburgh hub

Lorien's client, a fast-growing, global-reaching SAAS company with a great reputation in their domain, are currently looking to hire a Principal Software Engineer (from a C# , Python or Java background) to join their team, lead from the front, and take charge where it comes to the next version of their core business platform and its offerings (which will include AI, further cloud-based expansions, and more).

This would be a brilliant fit for someone with proven Object-Oriented expertise, a strong record of building end-to-end technical solutions very much from the ground up for third parties, and a career to date which has seen them tackle everything from requirements gathering through to coding, implementation and ongoing improvements.

This is a growing firm with great projects in the pipeline, happy to offer a range of incentives (including bonuses, remote working, private healthcare, recognition rewards, professional development and ongoing upskilling avenues), and friendly people to work with (ask us, we've placed a number of them ourselves!). Take a look and apply before it's too late:

Key Responsibilities:

Take the reins across the software development spectrum from gathering product/feature/architecture requirements and prioritising projects against roadmaps, to coding, architectural vision, reviewing other Software Engineers' work, and ensuring the team is performing well and running smoothly
Deliver against overarching business objectives, including ventures into Artificial Intelligence, additional Cloud based services, and the next big version of their key client-facing platform which you'll be directly responsible for delivering
Ensuring delivery output from your own team via performance reviews/mentoring/etc., as well as liaising with the wider multidisciplinary technical function and other teams to keep everyone up to date and align with business objectives
Ensuring Agile working and best practice is woven into the team, keeping aware of new trends and tech to improve as you go, and running standups and other meets to ensure all are on the same page and working to agreed standardsWhat they're looking for:

Proven track record in Software Development and proven record of working as a Principal Software Engineer / Principal Developer
Strong skills across C# / Python / Java (and willingness to pick up .Net if not worked with directly before)
JavaScript/React and HTML/CSS (though this is more backend leaning in nature)
Dealings across as many of the following as possible: .Net Core/ASP.Net, Azure/AWS, SQL Server/T-SQL, AI, Razor/Blazor
Demonstrable record of building technical solutions end-to-end and from the ground up for third parties
Strong grasp of Agile working, TDD, SOLID principles, and other processes/standardsIf you're looking to join a great firm with major expansion and evolution on the horizon, offering a host of benefits with staff at the centre such as remote working, bonuses and recognition rewards, healthcare, progression and more, apply now with your latest CV and let's have a chat.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.