Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Software Engineer Lead

Newark on Trent
7 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Graph Data Science

Software Engineer - (Machine Learning Experience a plus) - hybrid

Software Engineer, Machine Learning

Software Engineer II, Applied Machine Learning

Senior Software Engineer, Machine Learning Services (MLS)

Software Engineer, Artificial Intelligence

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

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.