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

Apply Now

Senior Software Engineer Technical Lead

Wolverhampton
7 months ago
Applications closed

Related Jobs

View all jobs

Engineering Manager, Machine Learning Platform

Senior Data Engineer

Staff Data Scientist

Senior Software and Data Engineer | Oxford University Hospitals NHS Foundation Trust

Senior Software and Data Engineer

Senior Software and Data Engineer

Senior Software Engineer Technical Lead

A leading Bank is hiring a Senior Software Engineer / Technical Lead to drive the development and design of several greenfield retail banking platforms as our client rebuilds its brand to stay ahead of the competition. We are looking for a Senior Software Engineer Technical Lead with a background in Java, Kafka, and Azure who can provide technical leadership and contribute to the vision and strategy as our client continues through its modernisation campaign. Our client is paying a basic salary of £100,000 + 25% bonus + benefits to be based in Wolverhampton on a hybrid basis. 

Our client is seeking experienced engineers with recent retail / digital banking experience who can design new product roadmaps, focus on architectural challenges, and provide hands-on technical leadership to a team of engineers.

Your responsibilities will include:

Lead the development and implementation of a modern cloud foundation and data platform that is robust, scalable, fully automated, secure, and can support the growth of the business.
Build Scalable Architectures: Leverage modern technologies to design and implement scalable, secure, and high-performing cloud-native solutions.
Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks.
Core skill set for this position:

Strong experience building and scaling baking systems (Lending, Payments, or Mortgages) with a focus on security compliance and performance is a must.
Experience leading upon architectural challenges, system scalability, and guidance of engineering teams is a must.
A background in Java, C#, Python, or React development with experience providing hands-on technical leadership is a must.
New Product Ramping (approach to ramping up new products with less-experienced teams, providing clear strategies for facilitating MVP products in market and enabling teams to perform at scale) is a must.
Digita transformation experience, moving from on-premise to modern cloud service using Azure, is a must.
Benefits: £100,000 / 25% bonus / 28 days holiday / Holiday Purchase Scheme / Occasional travel / Health Insurance / 13% pension / plus much more.

Senior Software Engineer Technical Lead

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.