Senior Software Developer (.NET/ AI)

Reed
Newcastle upon Tyne, United Kingdom
Last week
£60,000 – £70,000 pa
Applications closed

Related Jobs

View all jobs

Senior Software Developer (.NET/ AI)

Reed Technology Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£60,000 – £70,000 pa Hybrid

Full Stack Developer

Techunite Ltd Chertsey, Surrey, United Kingdom
£40,000 – £65,000 pa

IT Technical Lead

Vermillion Analytics Dublin, City Of Dublin, Ireland
£436 – £567 pd

Data Engineering - Senior Consultant

RSM London, United Kingdom

Senior Software Engineer

Confluent London, London, City Of, United Kingdom
Remote

Senior Software Engineer II

Confluent London, London, City Of, United Kingdom
Permanent

Salary

£60,000 – £70,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (Last week)

Benefits

Competitive salary Flexible working

We’re working with aproduct-based software company behind a market-leading platform that’s used at scale across its industry. The team has recently launched itsfirst AI-powered feature into production and is now investing further in AI-driven innovation across the product.

This is a key hire as AI becomes an increasingly important part of the product roadmap.

Key Info:

Location: Hybrid / Newcastle 2 days per week
Level: Senior
Type: Permanent

As aSenior Software Engineer (AI / .NET), you’ll play a hands-on role in designing, building, and integratingAI-powered functionality into a live, customer-facing product.

You’ll work closely with engineers, product, and stakeholders to turn AI capability into real business value — focusing on production-ready solutions rather than proof-of-concepts.

Key Responsibilities

  • Design and develop high-quality software usingC# / .NET
  • Build and integrateAI features into an existing product ecosystem
  • Work with AI services, models, or LLMs (build, consume, or integrate)
  • Ensure AI functionality is secure, scalable, and maintainable
  • Collaborate on architectural decisions and technical direction
  • Review code, mentor colleagues, and contribute to engineering best practices
  • Take ownership of features from idea through to production release

What We’re Looking For

  • Strong commercial experience as aSenior .NET / C# Developer
  • Proven experiencebuilding or integrating AI features in production
  • Experience working with AI/ML services, APIs, or LLM platforms
  • Solid understanding of software design principles and clean architecture
  • Comfortable working in aproduct-led, agile environment
  • Able to balance innovation with robustness and user impact

Nice to Have

  • Experience working on customer-facing products
  • Exposure to data pipelines, prompt engineering, or AI optimisation
  • Interest in shaping how AI is adopted across a wider product suite

Why Join?

  • Work on awell-established product with a strong market presence
  • Be part of the journey as AI becomes acore part of the platform
  • Join a collaborative engineering team with real influence
  • Competitive salary, benefits, and flexible working

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.