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

Nominate & Attend

Technical Lead Software Engineer

Bristol
3 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning and AI Engineering Lead

Principal Software Engineer

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

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

Software Engineering Manager – Machine Learning

Software Engineering Manager - Machine Learning- Systematic Quant Fund

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
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.

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.

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.

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.