National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Technical Lead - Software Engineer (Full Stack) Bristol

Bristol
4 months ago
Applications closed

Related Jobs

View all jobs

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Principal Software Engineer

Tech Lead Manager, Machine Learning - Perception

Lead Data Engineer

Job Title: Technical Lead (Software Engineer) (Full stack)- Python, PySpark, HPC
Salary: £100,000 - £130,000 | Location: Bristol, UK (Hybrid)

About the Company

My client is a pioneering InsurTech specialising in cyber reinsurance, delivering advanced analytic's and underwriting solutions that transform cyber risk management. Their skilled, collaborative team thrives on data science and engineering innovation.

The Role: Technical Lead

We're seeking a hands-on Technical Lead to drive platform development, build and lead a high-performing engineering team, and integrate advanced risk modelling into their cyber reinsurance platform. This role requires 10+ years' experience in software engineering, including 5+ years in leadership, preferably in insurance or financial services.

Key Responsibilities

Platform Development: Architect and develop acyber reinsurance platform, incorporating:
Reinsurance submission ingestion, policy administration, cyber risk modelling, portfolio optimisation, and advanced reporting.
Team Leadership: Build and manage a high-performance engineering team across HPC, data engineering, and web development.
Collaboration: Work closely with data science and modelling teams to integrate analytical models.
Scaling Strategy: Expand the platform across new business lines.
Hands-On Contribution: Remain actively involved in the codebase, solving technical challenges and mentoring the team.

Qualifications & Skills

10+ years in software engineering, you must be experienced across the Full stack both Front and Back End with 5+ years in leadership (preferably in insurance).
Strong Python and PySpark skills, plus HPC, large-scale data engineering, and full-stack development.
Experience with machine learning, cloud platforms (AWS, GCP, Azure), DevOps tools (Docker, Terraform, Kubernetes), and data lakehouses (Databricks).
Proven success in building and scaling engineering teams and aligning initiatives with business goals.

Why Join?

Lead a cutting-edge team in cyber reinsurance.
Shape the future of risk management with advanced analytics.
Work in a highly collaborative, innovative environment.

How to Apply

Send your CV to to explore this opportunity

National AI Awards 2025

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.

Jobs

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Jobs Careers

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

Jobs

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

🍪 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.