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

Apply Now

Technical Lead Software Engineer

Bristol
7 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning and AI Engineering Lead

Machine Learning Engineer

Machine Learning Engineer London, United Kingdom

Data Scientist - Tax & Legal

Data Scientist - Tax & Legal

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Technical Lead Full Stack Software Engineer

Salary: £110,000 - £130,000
Location: Bristol, Hybrid
Contract Type: Permanent
Working Pattern: Full Time

Join a pioneering organisation that is transforming the cyber reinsurance industry through advanced analytics and innovative technology! We're on a mission to enhance how cyber risk is assessed and managed, and we want you to be a part of this exciting journey.

About the Role:

We are on the lookout for a dynamic and experienced Technical Lead Full Stack Software Engineer to join our team in Bristol. If you have a passion for building data-intensive applications and a knack for leadership, this role is designed for you!

Key Responsibilities:

Architect and Develop: Lead the design and development of our cutting-edge cyber reinsurance platform, focusing on features like: - Ingestion of reinsurance submissions

  • Policy administration

  • Cyber risk modelling

  • Portfolio optimisation

  • Comprehensive reporting for risk management

    Lead and Inspire: Manage and grow a talented full-stack engineering team, specialising in high-performance computing and large-scale data engineering.
    Collaborate Across Teams: Work closely with data science and modelling teams to ensure seamless integration of analytical models into our platform.
    Strategic Scaling: Develop strategies to scale our platform across additional lines of business.
    Hands-On Contribution: Dive into the codebase, tackle technical challenges, and mentor your team members.

    What You Bring:

    Experience: 10+ years in software engineering with a focus on data-intensive applications, particularly in the financial sector. A minimum of 5 years in a leadership role is essential.
    Technical Expertise:- Strong full-stack development skills, with hands-on experience in front-end web applications.
  • Proficiency in Python and a deep understanding of machine learning and analytics.
  • Experience with cloud infrastructure (GCP, AWS, Azure), DevOps practises, Docker, Terraform, Kubernetes, and data lakehouses like Databricks.
  • Familiarity with CI/CD pipelines and automated testing frameworks.

    Leadership Skills: Proven ability to build and lead high-performing teams, fostering collaboration between engineering and data science.
    Hands-On Aptitude: A willingness to contribute directly to coding and problem-solving.

    Skills and Attributes:

    Strategic Thinker: Align engineering initiatives with business goals.
    Excellent Communicator: Convey technical concepts clearly to diverse stakeholders.
    Innovative Mindset: Stay updated with emerging technologies and industry trends.
    Problem Solver: Tackle complex challenges with strong analytical skills.
    Team Player: Foster a collaborative and inclusive environment.

    Why Join Us?

    This is not just another job; it's an opportunity to lead a talented team while driving innovation in a rapidly evolving industry. If you're ready to take the next step in your career and make a real impact, we want to hear from you!

    Apply Today! Your next big adventure awaits!

    Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

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

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.

Jobs

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.

Jobs

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.

🍪 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.