Software Engineer Lead

Newark on Trent
1 month ago
Applications closed

Related Jobs

View all jobs

Bioinformatic Software Engineer

Lead / Senior Software Engineer - ML/AI

Software Engineer, Machine Learning

Software Engineer - AI/Machine Learning

C++ Software Engineer

Software Engineer

Software Engineer Lead
Newark, Full time, Permanent
Salary up to £50,000 per annum.
Our award-winning client, based in Newark, Nottinghamshire is seeking a motivated leader who will plan succession and development for their team, alongside overseeing development projects and maintaining key systems. The Software Engineer Lead is a full time, permanent position with the opportunity for hybrid working.
The Role
As Software Engineer Lead, your responsibilities will include:

  • Supporting and leading the Development team with collaboration and growth
  • Working on the development strategy
  • Overseeing software development projects
  • Implementing and enforcing best practices, coding standards and agile methodologies
  • Ensuring innovation, continuous improvement and technical excellence
  • Collaborating with stakeholders (this is inclusive of product management, operations and executive leadership)
  • Upgrading and maintaining key systems
    The Candidate
    An ideal candidate for the Software Engineer Lead position should hold the following skills:
  • At least 3 years proven experience in software development (including 1 year of leadership)
  • Hold a strong technical background (software architecture, coding, system design)
  • Be familiar with Agile development methodologies and DevOps practices
  • Have an understanding of cloud technologies, security principles and modern development tools
  • Knowledge of BI tools, data warehousing and system infrastructure
  • Proficient in API development using languages such as C# and .NET
  • Be familiar with databases including SQL
    You will have experience designing, developing and maintaining system integrations between applications, services and platforms.
    A Software Engineer Lead candidate will ideally possess the following:
  • Familiarity / experience with AI, machine learning or blockchain technologies
  • Prior experience on MDM’s
  • Knowledge of ServiceNow, Azure Dev Ops, Netsuite and Power BI
    Following an initial training period, the successful Software Engineer Lead will have the opportunity to work on a hybrid basis.
    The Company
  • Paid volunteer day
  • Onsite gym
  • Ongoing learning and development
  • Bonus paid day off for your birthday!
  • Annual wellbeing budget
  • Increasing annual leave
  • Company sick pay
    Thank you for your interest in this vacancy and good luck with your application.
    If you have not heard from a member of the Future Prospects team within 7 days from your application, please assume that your application has not been successful on this occasion. Unfortunately, due to the high volume of applications we receive, we are unable to provide individual feedback
    The services of Future Prospects are those of an Employment Agency

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.

Jobs

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.

Jobs Careers

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.

Jobs

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.

🍪 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.