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 - AI/Machine Learning

C++ Software Engineer

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.

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

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

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

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.