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1,927

Software Engineer jobs in United Kingdom

Software Engineer III, Copilot Agents

GitHub

United Kingdom
Remote
GBP 60,000 - 90,000
30+ days ago
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Senior Lead Developer, Software Development

London Stock Exchange Group

City of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

Firmware Engineer

Kidde Global Solutions

Herne Bay
On-site
GBP 40,000 - 60,000
30+ days ago

Ruby on Rails Developer

Dubizzle Limited

City of London
Remote
GBP 50,000 - 70,000
30+ days ago

PHP Engineer

Evoluted

Sheffield
Hybrid
GBP 35,000 - 50,000
30+ days ago
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Data Migration Specialist (3 Months Contract)

Monolith AI

Greater London
On-site
GBP 50,000 - 70,000
30+ days ago

Cloud Platform Engineer, Embedded

bet365 Group

Stoke-on-Trent
Hybrid
GBP 50,000 - 70,000
30+ days ago

Cloud Platform Engineer, Embedded

bet365 Group

Manchester
Hybrid
GBP 55,000 - 75,000
30+ days ago
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Lead C# Engineer

WTW group

Reigate
Hybrid
GBP 60,000 - 80,000
30+ days ago

Software Engineer III - FX Front Office - QA Automation Engineer

Nutmeg Saving and Investment Limited

Bournemouth
On-site
GBP 80,000 - 100,000
30+ days ago

QA Engineer | C# | JavaScript | Playwright | FinTech | 95,000

Virtuetech

City of London
On-site
GBP 80,000 - 95,000
30+ days ago

Senior Embedded Firmware Engineer - Quantum Control Leader

Dubizzle Limited

Reading
Hybrid
GBP 70,000 - 90,000
30+ days ago

Graduate Real-Time & Embedded Engineer – Rotations

Anthony Best Dynamics Limited.

Bradford-on-Avon
On-site
GBP 30,000 - 35,000
30+ days ago

Senior Ruby-on-Rails Engineer (Full Remote - UK)

Methodfi

United Kingdom
Remote
GBP 70,000 - 90,000
30+ days ago

Lead C# Engineer — Insurance Pricing & Cloud (Hybrid)

WTW group

Reigate
Hybrid
GBP 60,000 - 80,000
30+ days ago

Real-Time Embedded Engineer for Defence Systems (SC)

Expleo Group

Belfast
On-site
GBP 60,000 - 80,000
30+ days ago

IT Technician IT Engineering London

Alphasights

Greater London
On-site
GBP 25,000 - 30,000
30 days ago

Digital Design Technician (ICT)

Fashion Institute of Design & Merchandising

Manchester
On-site
GBP 60,000 - 80,000
30+ days ago

Workplace IT Support Engineer

Methodfi

Greater London
On-site
GBP 35,000 - 50,000
30+ days ago

IT Support Engineer

Mmr Research

Oxford
On-site
GBP 30,000 - 40,000
30+ days ago

Senior Software Engineer - Lead, Mentor & Deliver Impact

INZPIRE LTD

Manchester
Hybrid
GBP 65,000 - 85,000
30+ days ago

Founding Engineer - Robotics and Embedded Systems

Flyer Ai

Salisbury
On-site
GBP 60,000 - 80,000
30+ days ago

Staff Engineer - Android

TiVo Corporation

Twickenham
On-site
GBP 60,000 - 80,000
30+ days ago

Real-Time DSP Engineer (C++, Linux)

Expleo Group

Manchester
On-site
GBP 40,000 - 60,000
30+ days ago

Senior C# Engineer – Remote & End-to-End Ownership

AnaVation LLC

United Kingdom
Remote
GBP 40,000 - 80,000
30+ days ago

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Software Engineer III, Copilot Agents
GitHub
Remote
GBP 60,000 - 90,000
Full time
30+ days ago

Job summary

A leading software development platform is seeking an experienced software engineer for a role focused on building and expanding code analysis engines and AI agents. This position entails collaborating with engineering teams to deliver high-quality software solutions, maintaining code detection mechanisms, and contributing to product innovation. Suitable candidates should have substantial experience in software development across multiple programming languages, a background in machine learning or software security, and a commitment to quality and user experience.

Benefits

Competitive pay
Generous learning and growth opportunities
Excellent benefits

Qualifications

  • 4+ years experience in Software Engineering or related technical discipline.
  • Experience building developer tools that operate on source code.
  • 2+ years experience with software security best practices.

Responsibilities

  • Maintain detection support for multiple programming languages.
  • Build source code extractors that translate code into data.
  • Work closely with engineering teams to influence product direction.

Skills

C
C++
C#
Java
JavaScript/TypeScript
Go
Ruby
Rust
Python
Software security
Static analysis
Dynamic analysis
Machine learning

Education

Bachelor's Degree in Computer Science or related field
Master's Degree in Computer Science or related field
Associate’s Degree in Computer Science or related field
Job description
About GitHub

GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot.

Locations

In this role you can work from Remote, United Kingdom

Overview

GitHub is the home for software development, where we collaborate to build the world's leading AI-powered developer platform.

In the Copilot Agents organization at GitHub, we are passionate about ensuring the security and quality of the world’s software - from open source to the enterprise, written by humans and by AI tools. We believe that the best way to secure and improve the quality of software is to detect actionable issues early in the development process, and actively facilitate their remediation as part of the developer workflow.

Our team develops detection and remediation engines that power several GitHub products used by hundreds of thousands of developers and projects every day:

  • Copilot Code Review agent is GitHub LLM-powered code review engine which provides feedback for immense volumes of code changes daily helping developers fix bugs and improve the quality of their code, leading to faster time to merge.
  • Copilot Autofix is GitHub's LLM-powered remediation engine that produces high-quality fix suggestions for security or quality findings, empowering developers to fix them as soon as they are found or burn down the debt already existing in their codebase. It is used as the remediation engine within the GitHub Code Security, GitHub Advanced Security, and Copilot code review products.
  • CodeQL is GitHub's semantic code analysis engine that uses world-class static analysis research and technology to deeply analyze code, enabling the early detection of security vulnerabilities and correctness errors in software. CodeQL supports a wide range of programming languages, including C/C++, C#, Go, Java, JavaScript/TypeScript, Kotlin, Python, Ruby, and Swift. It is used as the primary detection engine within the GitHub Code Security and GitHub Advanced Security products.

We work as a distributed group within a distributed company. The majority of our team members live across Europe, the US, and Canada, and while we do have some offices, all our meetings are location-agnostic and happen online. We operate with a high degree of autonomy and trust, and we have a significant level of influence on the product and technical direction of security and code review products at GitHub. We value learning, introspection and reflection, and we’re always looking for ways to improve as a team and as individuals, so candor and a culture that values safety to speak up are highly important to us.

Responsibilities

We are looking for a software engineer to join one of the distributed software engineering teams responsible for building and expanding code analysis engines and agents at GitHub. In this role you will work in one of the following areas, selected based on your own experience and interests, and the needs of the organization at the time of hiring:

  • Code analysis: Maintaining detection support for multiple programming languages, including:
    • building source code extractors that translate code written in each language into data that CodeQL can understand, keeping up with the latest version of each supported language
    • writing and maintaining queries in the CodeQL query language that accurately detect security vulnerabilities and undesirable coding patterns
    • ensuring the quality of LLM-powered Copilot Autofix suggestions for fixing the alerts found
    • building analysis libraries in the CodeQL query language that reason precisely about the semantics of programming languages, supporting the development of queries across all languages
    • experimenting with and robustly evaluating LLM-powered detection engines and integration between LLMs and traditional static analysis.
  • AI agents:
    • LLM-based code review: Building, improving, and evaluating the detection agent for Copilot code review, using LLMs and contextual information from a codebase to produce AI-powered review comments on pull requests.
    • LLM-based fix generation: Building, improving, and evaluating the Copilot Autofix agent, using LLMs and contextual information to produce actionable AI-powered fix suggestions for code security and quality findings.
    • Improving the security and quality of code produced by Copilot coding agent, using the above engines and other security products at GitHub.

In any of the above tracks, you will work closely with various engineering teams, product managers, designers, and technical writers that build different aspects of the code scanning product, to influence product direction and deliver features to users, with clear focus on quality, reliability, and user experience. You will engage with internal users and external users (both from enterprise customers and the open-source community) to help them succeed with the product. You’ll influence and provide feedback on the organizational culture and processes, always looking for opportunities to improve in a continuous pursuit of excellence.

Qualifications

Required Qualifications

For this role, we’re looking for an experienced software engineer with:

  • 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript/TypeScript, Go, Ruby, Rust, or Python.
  • OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, or related field AND 3+ years experience
  • OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript/TypeScript, Go, Ruby, Rust, or Python
  • OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, or related field
  • OR equivalent experience.
  • 2+ years of experience with one or more of the following areas:
    • Software security, including static analysis, dynamic analysis, software supply chain security, and best practices in creating high-quality, secure code.
    • OR Experience building developer tools that operate on source code, such as compilers, parsers, linters, static analyzers, debuggers, CLI tools, or IDE extensions.
    • OR Machine learning and AI applied to understanding source code, specifically building systems that use large language models (LLMs) to generate or reason about code, and systematic benchmarking and evaluation of those systems.

Preferred qualifications

Additionally, we would highly encourage applying if you have one or more of the following skills:

  • Experience with two or more of the areas listed above
  • Experience designing and running statistically‑sound experiments to measure performance and quality, evaluating results to minimize bias and noise.
  • Industry or research knowledge of compilers, program analysis, programming language design and implementation.
  • Knowledge of logic programming or database query languages (e.g. SQL, Prolog, Datalog, Kusto Query Language).
  • Experience in security research, demonstrated by a history of identifying, analyzing, and disclosing vulnerabilities in open‑source projects. Comprehensive understanding of security best practices, attack vectors, and the vulnerability management lifecycle from discovery to remediation and disclosure.
GitHub values
  • Customer-obsessed
  • Ship to learn
  • Growth mindset
  • Own the outcome
  • Better together
  • Diverse and inclusive
Manager fundamentals
  • Model
  • Coach
  • Care
Leadership principles
  • Create clarity
  • Generate energy
  • Deliver success
Who We Are

GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.

Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote‑first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms.

Join us, and let’s change the world, together.

Equal Employment Opportunity

GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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