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

Apply Now

Technical Lead - Software Engineer (Full Stack) Bristol

Bristol
8 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Computer Vision Engineer

Technical Product Manager - Data Science

Lead Machine Learning Engineer (Pet care)

Lead Machine Learning Engineer (Pet care)

Lead Data Scientist

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

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.