Software Engineer Lead

Newark on Trent
4 days ago
Create job alert

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

Related Jobs

View all jobs

Principal Engineer – Leadership, Strategy, and High-Impact Engineering

Senior Software Engineer Technical Lead

Senior Software Engineer Technical Lead

Senior Software Engineer Technical Lead

Senior Software Engineer Technical Lead

Senior Backend Software Engineer

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.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

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

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.