G-Research is recruiting engineering and technology professionals for a range of roles spanning artificial intelligence, machine learning, data engineering, security, infrastructure and software engineering.
The company’s engineering teams build the advanced platforms and infrastructure used to turn complex research into real-world results. Current opportunities highlighted by G-Research are based in London, with positions including Data Software Engineer, Machine Learning Performance Engineer, Research Engineer and Applied AI Engineer.
G-Research Engineering Jobs 2026 Overview
| Category | Details |
|---|---|
| Organization | G-Research |
| Career Area | Engineering & Technology |
| Location | London, United Kingdom |
| Fields | AI, Machine Learning, Data, Software, Security, Infrastructure |
| Experience Level | Varies by position |
| Compensation | Described as industry-leading; exact salary not specified |
| Bonus | Annual discretionary bonus scheme |
| Relocation Support | Available |
| Immigration Assistance | Available |
| Annual Leave | 30 days, plus 5 additional days for office-based employees |
| Application Deadline | Varies by vacancy / not specified on the careers overview |
About G-Research
G-Research works at the intersection of quantitative research, technology, engineering and global financial markets.
Its quantitative research and machine learning teams analyze noisy real-world datasets in an effort to identify patterns and predict movements in financial markets. Engineering teams build and maintain the infrastructure and high-performance platforms needed to transform research into practical results.
Technology therefore sits at the center of the organization’s work, creating career opportunities for professionals interested in sophisticated computational problems, data-intensive systems and emerging technologies.
Current G-Research Engineering Jobs
G-Research currently highlights several engineering vacancies in London.
These include:
- Data Software Engineer
- Machine Learning Performance Engineer
- NLP Performance Engineer
- Security Automation Software Engineer
- Software Engineer – Core IP Security
- Software Engineer — Observability Instrumentation
- Research Engineer
- Applied AI Engineer
These positions demonstrate the breadth of the company’s technology work, covering data, AI, machine learning, cybersecurity, software development and research engineering.
Because each vacancy has its own requirements, applicants should review the individual job description before applying.
Quantitative Engineering Careers
Quantitative engineers at G-Research are also referred to as research engineers.
They work alongside researchers and use substantial computing resources to support research focused on predicting financial market movements.
The work spans several technical areas, including:
- Machine learning
- Data engineering
- High-performance computing
- Low-latency systems
These specialist engineering teams provide the technical foundations needed to turn research ideas into working systems.
For engineers interested in combining software development with mathematical, data-intensive and computational challenges, quantitative engineering represents one of the major technical career areas within G-Research.
Infrastructure Engineering Careers
G-Research also operates infrastructure engineering teams responsible for systems capable of processing extremely large quantities of data reliably and efficiently.
The organization emphasizes automation and innovation in its infrastructure work.
Technologies and areas explored by these teams include cloud technologies, scalable flash storage, grid computing and infrastructure as code.
This makes the engineering environment relevant to professionals interested in cloud infrastructure, distributed computing, automation and large-scale technology platforms.
Why Work at G-Research?
G-Research highlights several reasons technology professionals may consider joining its engineering organization.
The company specifically identifies:
- Industry-leading compensation
- Talent development
- A culture designed to support employee success
- Relocation support
- Comprehensive benefits
These benefits are presented across the company’s engineering careers information.
Salary and Compensation
G-Research describes its compensation as highly competitive and also provides an annual discretionary bonus scheme.
However, the engineering careers overview does not provide a specific salary range for the individual vacancies listed.
Applicants should therefore consult the specific job posting for any position-specific compensation information rather than assuming a particular salary.
Financial Benefits
G-Research lists several financial benefits for employees, including:
- Company pension scheme
- Annual discretionary bonus scheme
- Season ticket loan
- Give As You Earn
- Risk protection benefits
- Charity fundraising matching
- Relocation and immigration assistance
The availability or precise terms of benefits may depend on the employee’s circumstances and role.
Relocation and Immigration Assistance
One particularly notable benefit for international candidates is that G-Research lists generous relocation and immigration assistance among its employee benefits.
However, this should not automatically be interpreted as guaranteed visa sponsorship for every vacancy or applicant.
International applicants should check the individual vacancy to determine the immigration and right-to-work arrangements applicable to that specific role.
Health Benefits
The company also provides a range of health-related benefits.
These include comprehensive private health insurance with GP access, dental and vision coverage; enhanced support relating to health, fertility and family formation; a healthcare cash plan; and employee assistance and wellness programmes.
Annual Leave and Lifestyle Benefits
Employees are offered 30 days of annual leave, while office-based employees receive an additional five days.
Other lifestyle benefits highlighted by G-Research include dependent-care support, travel insurance, cycling schemes, gym and fitness membership subsidies, free lunch, a complimentary barista bar, company social activities and talks from guest speakers.
The company also operates a flexible benefits platform through which colleagues can customize certain benefits according to their circumstances.
Talent Development
Professional development is another area emphasized by G-Research.
The company lists talent development among the reasons candidates may want to join its engineering teams.
The technical environment may be particularly attractive to professionals who want to work on advanced computing problems while collaborating with researchers and other highly specialized engineers.
Who Should Consider Applying?
The opportunities may be particularly relevant to candidates with professional or academic backgrounds related to:
- Computer science
- Software engineering
- Data engineering
- Machine learning
- Artificial intelligence
- Natural language processing
- Cybersecurity
- Cloud computing
- Infrastructure engineering
- High-performance computing
- Distributed systems
Specific educational, professional experience and technical requirements vary by vacancy. Candidates should therefore rely on the individual job description when determining eligibility.
What Is the G-Research Engineering Recruitment Process?
G-Research provides a structured assessment process for engineering candidates.
Online Application
The process begins when the Talent Acquisition team reviews the candidate’s application and assesses their suitability for the role.
Stage One: Technical Interview
Candidates then meet a team member or may complete a remote test designed to assess their technical abilities.
Stage Two: Behavioural Interview
The next stage moves away from technical assessment and focuses on getting to know the candidate.
Stage Three: Further Technical Interviews
Candidates progressing further undergo additional interviews examining their technical skills and competencies in greater depth.
Stage Four: Management Interviews
The final stage involves meeting members of the prospective team, future manager and functional leadership.
How Competitive Are G-Research Engineering Jobs?
The organization states that it looks for world-class engineers with varied experience.
Combined with multiple technical interview stages, candidates should expect the recruitment process to assess technical ability carefully.
Applicants should therefore prepare to demonstrate both theoretical understanding and the ability to solve practical engineering problems relevant to their chosen position.
How to Prepare Your Application
Candidates should tailor their CV to the specific engineering vacancy rather than submitting a completely generic technology résumé.
For technical roles, applicants should clearly present relevant programming languages, engineering tools, platforms, technical projects and measurable accomplishments.
Candidates applying for data or machine-learning positions may also benefit from clearly describing their experience with large datasets, machine learning systems, data pipelines, model performance, distributed computing or related technologies where genuinely applicable.
For infrastructure roles, relevant experience with cloud environments, infrastructure automation, distributed systems, high-performance computing or infrastructure as code should be clearly highlighted where appropriate.
Application Deadline
The engineering careers overview does not provide one universal application deadline for all listed vacancies.
Candidates should check the individual vacancy for current availability and any position-specific closing date.
Because vacancies can change as positions are filled or new roles are added, interested candidates should consider applying while their preferred role remains advertised.
How to Apply for G-Research Jobs
Applications should be submitted through the G-Research careers and vacancies system.
Applicants can select their preferred vacancy, carefully review the individual requirements and complete the online application.
After submission, the Talent Acquisition team reviews the application before successful candidates progress to the technical and behavioural assessment stages.
Frequently Asked Questions
Where are the current G-Research engineering jobs located?
The engineering vacancies highlighted on the source page are based in London, United Kingdom.
What engineering jobs are available at G-Research?
Current highlighted vacancies include Data Software Engineer, Machine Learning Performance Engineer, NLP Performance Engineer, Security Automation Software Engineer, Software Engineer roles, Research Engineer and Applied AI Engineer.
Does G-Research hire AI engineers?
Yes. Applied AI Engineer is among the current engineering roles listed by G-Research.
Are there machine learning jobs at G-Research?
Yes. The company lists a Machine Learning Performance Engineer vacancy, and machine learning is also identified as an area within quantitative engineering.
Does G-Research offer data engineering careers?
Yes. Data engineering is specifically identified as part of quantitative engineering, while a Data Software Engineer vacancy is also currently highlighted.
Does G-Research provide relocation support?
Yes. G-Research lists relocation support and generous relocation and immigration assistance among its benefits. Candidates should check the terms applicable to their particular position.
How much annual leave does G-Research offer?
The benefits information lists 30 days of annual leave, with an additional five days for office-based employees.
Does G-Research offer bonuses?
Yes. An annual discretionary bonus scheme is included among the company’s financial benefits.
What is the application deadline?
No universal deadline for the engineering vacancies is specified in the provided careers information. Applicants should review their chosen vacancy for current details.
Final Thoughts
The G-Research Engineering and Technology opportunities for 2026 provide career options for professionals working across software engineering, artificial intelligence, machine learning, data engineering, cybersecurity and advanced infrastructure.
Current London vacancies range from Data Software Engineer and Research Engineer to Applied AI Engineer and Machine Learning Performance Engineer, while the wider engineering organization works across areas such as high-performance computing, low-latency systems, cloud technology, infrastructure as code and large-scale data processing.
With highly competitive compensation, an annual discretionary bonus scheme, professional development, extensive employee benefits and relocation and immigration assistance among the benefits advertised, these opportunities may be worth exploring for suitably qualified technology professionals interested in technically demanding careers.
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