Barlowe LLP

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting edge of machine learning. You will work closely with a wide range of internal G Research teams, including Quant Researchers, Quant ML engineers and other engineering groups - as well as with external partners and experts. You will collaborate across disciplines on a broad set of initiatives to help G Research leverage the next generation of machine learning technologies. Past projects have included: Evaluating alternative accelerators for ML workloads Multi-node distributed training to understand trade offs in networking technology Optimising model inference to minimise latency or maximise throughput Understanding and optimising different storage technology to maximise bandwidth Evaluating the latest hardware and software in the machine learning ecosystem Liaising with vendors and providing constructive feedback on their products and roadmaps Who are we looking for? You will be comfortable working both independently and in small teams on a variety of engineering challenges, with a particular focus on machine learning and scientific computing. The ideal candidate will have the following skills and experience: A postgraduate degree in ML or a related field, or bringing commercial experience building ML models at scale (we will also consider exceptional candidates with demonstrable track record of success in online data science competitions, such as Kaggle) Strong object oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model inference expertise; you do not need to have all of the above A passion for the latest ML and HPC trends, with genuine curiosity and enthusiasm Excellent communication skills with the ability to work independently, engage with vendors, explore new technologies and present results effectively to stakeholder Choose the right level of abstraction, using quick one off scripts for proofs of concept or designing more complex systems when needed Finance experience is not necessary for this role and candidates from non financial backgrounds are encouraged to apply. Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 30 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role G-Research is a fast growing, software driven organisation where data is at the heart of everything we do. We are looking for an experienced Database Platform Engineer to join our Data Services team. In this role, you will help design, build and operate the mission critical database platforms that underpin research, a global platform and business operations. This role focuses on providing highly available, performant and secure data services. Our environment spans multiple database technologies - PostgreSQL, Microsoft SQL Server, MySQL, and CockroachDB - deployed across both on premises infrastructure and the cloud (AWS). The role is highly collaborative, working with research and engineering stakeholders to deliver performant, resilient and secure database services at scale. Key responsibilities of the role include: Building, operating and scaling distributed database services across on premises and AWS environments Supporting large-scale deployments of PostgreSQL, Microsoft SQL Server, MySQL and CockroachDB, ensuring high availability, disaster recovery and performance Contributing to the design and implementation of automation for database provisioning, upgrades, replication and monitoring using Python, Ansible and Terraform Driving improvements in performance tuning, query optimisation, indexing strategies and storage design Collaborating with application and research teams to design and deliver database solutions that meet demanding scalability and latency requirements Participating in the out-of-hours rota to provide support for critical systems Staying up to date with industry trends and emerging database technologies, helping evaluate their applicability Defining SLAs, KPIs and monitoring strategies to ensure platform reliability, security and service excellence Proactively identifying and resolving stability, security and capacity issues across the platform Qualifications and experience Strong experience with relational database platforms such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning Hands on experience running databases at scale Proficiency with Linux and Python for automation Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar Experience deploying and running services in containerised or Kubernetes environments Understanding of AWS services relevant to data platforms such as RDS, Aurora, S3, EC2 or EKS Familiarity with modern observability stacks such as Prometheus, Grafana, Elk or OTel Desirable: experience with cloud native and distributed SQL databases such as Aurora, YugabyteDB or TiDB Desirable: knowledge of data streaming and integration tools such as Kafka, Debezium and CDC pipelines Desirable: experience with security and compliance in database environments, covering encryption, auditing and RBAC Desirable: familiarity with DataOps practices and collaboration with Data Engineering teams Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.

Overview We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. Responsibilities We operate an advanced systematic client trading platform. Its systems are fully automated, globally distributed and operate at extreme scale - executing millions of trades per day. Ensuring platform resilience, uptime and operational efficiency is mission-critical. As a Software Engineer in Realtime Quant Frameworks, you'll play a key role in helping our quant researchers move faster across our large-scale compute estate - building systems that reduce the complexity of running workloads across massive compute farms and providing real-time support to keep research running smoothly and efficiently. A key part of the role focuses on our core scheduling platform, written in F#, which distributes huge workloads across the compute farm and is accessed via Python and .NET SDKs - the main interface our quants use day-to-day. You'll contribute to a TypeScript/React UI, backed by an F# ASP.NET service with a Postgres database on Kubernetes, giving real-time visibility into workload progress. Beyond that, you'll help extend our tooling and frameworks that enable quants to build and deploy research platforms and express computations over streaming data - creating flexible, high-performance systems that go well beyond the quant finance domain. Qualifications An extensive background in software engineering, ideally in distributed or high-performance systems. Experience with F#, C#, Python or similar languages in production environments. Experience working with Python in research or data-driven workflows. Familiarity with modern backend and cloud-native technologies including Kubernetes and relational databases. Strong problem-solving skills and ability to work closely with quantitative researchers. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided (via Just Eat for Business) and dedicated barista bar. 35 days annual leave. 9% company pension contributions. Informal dress code and excellent work/life balance. Comprehensive healthcare and life assurance. Cycle-to-work scheme. Monthly company events. Diversity & Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. Security is foundational to this mission and must be delivered in a way that supports how our engineering teams build and operate complex systems at scale. Key responsibilities Designing, implementing and supporting enterprise authentication and identity federation services Developing standard onboarding patterns for applications using SAML, OAuth2 and OpenID Connect Improving and rationalising our identity provider estate, including PingFederate, PingAM and cloud identity platforms Engineering secure privileged access solutions using Teleport and Just in Time access principles Defining standards for service accounts, certificates, secrets and machine identities Building APIs and automation to simplify identity platform operations Partnering with engineering teams to deliver reusable, secure authentication services Improving operational maturity through monitoring, alerting, logging, documentation and automation Supporting migration away from bespoke authentication implementations towards enterprise IAM standards Qualifications Experience engineering and operating enterprise IAM platforms Experience with enterprise identity providers such as PingFederate, PingAM, Microsoft Entra ID or Okta Strong understanding of authentication, authorisation, Active Directory, LDAP and privileged access management Experience applying modern platform engineering practices, including infrastructure as code, CI/CD, automation and observability Software engineering experience in languages such as C#, Java, Python or Go Experience building APIs and automating identity platform services Experience supporting hybrid on premises and cloud identity platforms, including Kubernetes Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided via Just Eat for Business and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events Equal Employment Opportunity G-Research is committed to cultivating and preserving an inclusive work environment. We value diversity of experience and opinions and aim to provide a recruitment experience that enables applicants to perform at their best. If you have a disability or a special need that requires accommodation, please let us know in the relevant section.

G-Research is seeking an experienced IAM Engineer to design, implement and operate enterprise authentication and identity federation services from our London HQ. You will work with PingFederate, PingAM, Microsoft Entra ID and Okta, shaping secure access across hybrid on-prem and cloud platforms. The role requires deep knowledge of authentication, authorization and privileged access management, plus strong platform engineering practices. A competitive package and growth opportunities await.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. Security is foundational to this mission and must be delivered in a way that supports how our engineering teams build and operate complex systems at scale. Take the next step in your career. Role As a Penetration Tester, you will lead and conduct penetration tests and vulnerability assessments across a wide range of internal systems and security controls. Your work will directly strengthen our overall security posture through continuous testing, actionable insights and collaboration on remediation strategies. Responsibilities Perform in-depth penetration testing across a variety of technologies, including Kubernetes, Jenkins and Windows Domain Services. Deliver practical, impactful remediation advice to Control Owners based on identified vulnerabilities. Support business and application owners in assessing and improving the effectiveness of their security controls. Provide technical consulting and assurance to Risk, Compliance and Detection Engineering teams, including control assessments and configuration reviews. Maintain and enhance the team's operational tooling, automation and system integrations. Mentor and support less experienced team members, fostering knowledge sharing and growth. Qualifications Proven expertise across the full penetration testing lifecycle, from scoping and execution to reporting and stakeholder debriefs. Deep understanding of vulnerability assessment practices, including effective remediation strategies for both infrastructure and application level security. Strong background in technical security roles across diverse environments; familiarity with DevOps technologies. Experience validating the effectiveness of security controls through both manual and automated approaches. Engineering experience, particularly in building automation and tooling to streamline team output. Proficiency in development and scripting tools commonly used in DevSecOps, including Python, Jenkins and Ansible. Relevant security certifications with OSCP mandatory and CRT or OSEP desirable. Strong communication and interpersonal skills, with an emphasis on clear and concise written output. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided via Just Eat for Business and dedicated barista bar. 35 days annual leave and 9% company pension contributions. Informal dress code and excellent work life balance. Comprehensive healthcare and life assurance. Cycle to work scheme. Monthly company events. We are committed to cultivating and preserving an inclusive work environment. We value diversity of experience and opinions, and we want to ensure applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section. G Research is passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where worlds beating ideas are cultivated and rewarded, and we are proud to employ the best in their field and nurture talent in our collaborative working environment.

G-Research is seeking a hands-on Penetration Tester to lead tests and vulnerability assessments across internal systems and security controls. Your work will strengthen our security posture through continuous testing and remediation collaboration. You will perform tests across Kubernetes, Jenkins and Windows Domain Services, deliver remediation guidance, mentor teammates, and help build automation and tooling with Python, Ansible and related DevSecOps practices.

G-Research in London is seeking a Security Architect to provide security architecture guidance across a broad technical landscape-public cloud, extensive in house compute, and everything in between. You will tackle greenfield and legacy projects with practical, defensible guidance. Responsibilities include threat modelling, reviewing engineering designs, evaluating controls, and articulating residual risk to technical teams.

Overview We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. Security is foundational to this mission and must be delivered in a way that supports how our engineering teams build and operate complex systems at scale. Take the next step in your career. Key Responsibilities Leading, developing and growing a team of offensive security engineers and penetration testers. Owning and delivering the offensive security testing programme across the firm's highest priority systems, balancing recurring assessments with testing of new and changing services. Managing testing intake, prioritisation and resourcing, including coordinating external testing partners where required. Driving offensive testing methodologies, from scope definition through to safe validation of real world attack paths and control effectiveness. Establishing attack chain validation and continuous purple teaming with detection and response teams. Introducing automated assurance capabilities, including breach and attack simulation and adversary emulation tooling. Overseeing physical and social engineering assessment where appropriate. Reporting meaningful security metrics to demonstrate control effectiveness and drive continuous improvement. Building strong working relationships across engineering, risk and incident response teams, communicating findings and influencing decisions through evidence and technical credibility. Qualifications Strong hands on experience in offensive security and penetration testing across networks, web and APIs, cloud and infrastructure. Experience with CI/CD, Kubernetes and identity systems, with exposure to AI or agentic systems. Experience defining testing scope, rules of engagement and threat led, attack chain based assessments. Familiarity with automation, breach and attack simulation tooling or other approaches to scaling offensive testing. Experience leading or developing technical teams, including performance management and coaching. Strong judgement in prioritising work, balancing risk, impact and competing demands. Experience building teams and evolving ways of working as the function matures. Strong communication skills, with the ability to explain offensive findings and drive remediation. Ability to influence technical decisions through credibility, evidence and collaboration. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided via Just Eat for Business and dedicated barista bar. 35 days' annual leave. 9% company pension contributions. Informal dress code and excellent work life balance. Comprehensive healthcare and life assurance. Cycle to work scheme. Monthly company events. G-Research is committed to cultivating and preserving an inclusive work environment. We place great value on diversity of experience and opinions and want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. Security is foundational to this mission and must be delivered in a way that supports how our engineering teams build and operate complex systems at scale. Take the next step in your career. As a Security Data and Platform Engineer, you will combine broad security engineering expertise with deep knowledge of security data pipelines and Elastic Security. As the organisation's Security Data SME, you will own the onboarding, tuning, stabilisation and evolution of security telemetry across cloud, hybrid and corporate environments. Alongside this specialist focus, you will contribute as a well rounded Security Engineer, applying software engineering, automation and platform thinking to solve a broad range of security challenges. Working closely with SOC, CSIRT, Detection Engineering, Platform Engineering and Cloud teams, you will ensure security data is reliable, high quality, cost effective and fit for monitoring, investigation, threat hunting and compliance. Key Responsibilities Act as the technical authority and SME for security data within the Elastic Security ecosystem Design, implement and maintain scalable security data ingestion pipelines into Elastic SIEM Own the onboarding, tuning, normalisation and stabilisation of security data feeds across cloud, endpoint, network and SaaS sources Define and continuously improve data quality standards to support detection, investigation and threat hunting Contribute to the operation, performance and evolution of the Elastic Security platform Apply software engineering and scripting skills, for example in Python or Bash, to automate ingestion, validation, monitoring and operational workflows Support configuration as code and infrastructure as code to improve consistency and scalability across security tooling Drive the development of a security data strategy aligned with business and regulatory requirements Qualifications Strong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka or similar Expertise in Elastic data modelling, indexing and performance optimisation Experience designing scalable log collection and processing architectures Knowledge of data governance, retention and security telemetry across cloud, endpoint and network Experience with Azure, AWS, GCP or hybrid environments Strategic mindset with a focus on long term data quality and platform evolution Strong communication skills, with ability to explain complex concepts to technical and non technical stakeholders Collaborative approach with experience mentoring others and working across teams to improve security outcomes Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided via Just Eat for Business and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events Inclusive Work Environment G-Research is committed to cultivating and preserving an inclusive work environment. We place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section.

G-Research in London seeks a Security Data and Platform Engineer to own the onboarding, tuning and evolution of security telemetry across cloud, hybrid and corporate environments. You will design scalable data ingestion into Elastic SIEM and apply software engineering to automate workflows. You will collaborate with SOC, CSIRT, Detection Engineering, Platform Engineering and Cloud teams to ensure high quality, cost effective security data for monitoring, investigation, threat hunting and

G-Research in London is seeking an experienced Identity Governance and Administration engineer to join our security and engineering teams from our London HQ. You will help shape access controls and lifecycle management for a cutting edge financial research platform. You will implement JML, automate lifecycle workflows across Workday, IdentityIQ and Active Directory, and design entitlement models, APIs and self service tools to scale identity services.

Overview We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. Security is foundational to this mission and must be delivered in a way that supports how our engineering teams build and operate complex systems at scale. Take the next step in your career. Key Responsibilities Improve Joiner, Mover, Leaver (JML) and organisational change processes Enhance identity lifecycle automation across Workday, IdentityIQ and Active Directory Build and maintain a comprehensive entitlement catalogue including ownership, business purpose, risk classification, approval models and usage context Improve access request workflows and access certification processes Identify stale, orphaned and excessive access Engineer improvements to SailPoint IdentityIQ workflows, provisioning and connectors Reduce manual operational work through automation and self service capabilities Develop APIs and tooling to expose identity and entitlement data Produce operational documentation, runbooks and audit evidence Support compliance, security reviews and regulatory audits Design and improve modern entitlement models including RBAC, ABAC and policy based access control Qualifications Experience in engineering and operating Identity Governance and Administration (IGA) platforms, ideally SailPoint IdentityIQ or an equivalent solution Identity lifecycle management, including Joiner, Mover and Leaver (JML) processes Identity data integration with HR systems, ideally Workday Active Directory, LDAP and enterprise identity data management Entitlement governance, including entitlement metadata, ownership and access models Access request, approval workflows, access reviews, certifications and attestations Identity provisioning and integration technologies, including SCIM, REST APIs and SPML Coding, platform configuration and automation to improve identity services and reduce manual operational effort Working collaboratively with engineering, security and application teams to deliver scalable identity solutions Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided via Just Eat for Business and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events Inclusion & EEO Statement G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section.

G-Research is seeking a highly skilled low latency network engineer to join the Colo Infrastructure team in London. You will design scalable co-location network solutions and push for ultrafast performance across the platform. Responsibilities include latency optimization, automation development, and on-call incident support to ensure reliability. A strong background in timing, packet capture, and WAN connectivity is required.

Overview We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. From our London HQ, we unite top researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. The role G-Research is going through an exciting period of growth in our co-location and low-latency platform. We are looking for a highly skilled low latency network engineer to join our Colo Infrastructure team. Responsibilities Designing and building new co-location network solutions to meet the needs of the platform Optimise the performance, latency and throughput of the infrastructure Lifecycle management and monitoring of Colo Network environment Developing automation and operators to build and extend the infrastructure Working with other platform and development teams to help define standards, best practices and onboard new capabilities onto the platform Contributing to incident response and production reliability On-call responsibilities for the most critical parts of the infrastructure Qualifications Designing and building highly available, mission critical networks Optimising low latency networks (including layer 1 switching, RF, LEO, dark fibre), timing solutions (using GPS, PTP, PPS, White Rabbit and NTP) Building packet capture and analysis solutions (including optical taps, SPAN, tap aggregation and timestamping) Running product evaluation and testing Building networks and market connectivity in exchange collocations Evaluating WAN connectivity options for optimal diversity and latency Multicast configuration and troubleshooting In-depth understanding of automation tools, including Git, Python, Jenkins and Ansible Why join us? Highly competitive compensation plus annual discretionary bonus; Lunch provided (via Just Eat for Business) and dedicated barista bar; 30 days' annual leave; 9% company pension contributions; Informal dress code and excellent work/life balance; Comprehensive healthcare and life assurance; Cycle-to-work scheme; Monthly company events. EEO / Inclusion G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. About At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.

We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. We are currently in an exciting period of growth in our colocation and low latency platform and are looking for a highly skilled network automation engineer to join our Colo Infrastructure team. The team manages a highly available colocation network; you will design and build automation solutions that enable rapid deployment of new infrastructure and efficient management of existing infra whilst maintaining reliable operations. Key Responsibilities Building and evolving automation frameworks for network provisioning and lifecycle management Developing infrastructure as code solutions using Python, Ansible, Terraform and Jinja2 Integrating network automation into CI/CD pipelines for reliable, repeatable deployments Creating APIs and self service tooling for engineering teams Implementing observability and telemetry solutions for performance and reliability Partnering with network, platform and security teams to deliver resilient, scalable systems Contributing to incident response and production reliability On call responsibilities for the most critical parts of the infrastructure Qualifications We're looking for a skilled network engineer with technical experience of managing high performance, low latency, scalable and resilient network infrastructure solutions. The ideal candidate will have the following skills and experience: Confident with Python and solid engineering fundamentals across testing, version control and CI/CD Experience with infrastructure as code and automation tools such as Ansible, Terraform and Jinja2; also must have experience leveraging AI tools, such as Claude Code Familiarity with Docker and Kubernetes Exposure to monitoring, observability or telemetry in distributed systems Pragmatic problem solver who can operate in ambiguity and take ownership Comfortable working in collaborative, fast paced engineering teams Deep understanding of networking fundamentals and ideally experience in network engineering in financial markets Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 30 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.

G-Research, based in London, is building a world-class platform to amplify researchers and engineers. The Colo Infrastructure team designs automation that enables rapid provisioning and reliable operations. This role focuses on network automation at scale, using Python, Ansible, Terraform, and CI/CD, plus observability, on-call duties, and collaboration with security and platform teams.

Barlowe LLP located in Greater London is seeking a talented developer to enhance their Workspace Engineering team. This role involves creating and maintaining cutting-edge remote development capabilities within Kubernetes environments. The ideal candidate should possess extensive experience with Linux and Kubernetes, along with skills in CI/CD and DevOps tooling. At Barlowe LLP, we offer competitive compensation, including benefits like 30 days of annual leave, healthcare, and a supportive work environment.

Barlowe LLP is looking for a Data Analyst to ensure quality across core market datasets. You will own data integrity, investigate anomalies, and enhance data pipelines, collaborating with engineering and stakeholders. The role requires strong SQL and Python skills, with a focus on financial markets. Enjoy competitive compensation, extensive leave, and a supportive workplace culture in London.

Company Overview We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. Role The Workspace Engineering team develops cutting edge remote development capabilities. Hosted in Kubernetes, these solutions provide our engineers and quantitative researchers with reliable, repeatable and high performance Linux environments. The ideal candidate will be an enthusiastic developer with a keen interest in technologies such as Kubernetes and remote development workflows, a commitment to best practices and a drive for continuous self learning. We're seeking someone with a broad technical skill set, who is adaptable and excited to work across a range of engineering challenges. You should be comfortable applying modern tools and approaches to solve complex problems and eager to contribute to a fast paced, evolving environment. Key Responsibilities Building stable and well designed solutions which make it easy for customers to use our developer environments. Understanding what makes a great end user experience for our customers and building towards that. Recommending and implementing continuous improvements to platform and delivery pipelines. Understanding our platform's security requirements, and designing and building features and capabilities to protect our developer environment. Being a product evangelist, liaising with users to gather feedback and understand their workflows, providing support and working on feature requests. Qualifications The ideal candidate will have the following skills and experience: A strong desire to learn and grow, and a track record of solving challenges in unfamiliar areas. Extensive experience working with Linux. Experience with Kubernetes administration in production grade environments, including maintaining Kubernetes clusters and managing operators/CRDs. A firm understanding of Kubernetes concepts such as containers/resources, RBAC and networking. Familiarity with automation through scripting, for example with Bash or Python. Familiarity with development practices, such as source code management and binary/dependency management using tools such as Git, GitHub and Artifactory. Proficiency with CI/CD pipelines and DevOps tooling across the full development lifecycle, using tools such as Jenkins, Bamboo or ArgoCD, and applying these to GitOps workflows and infrastructure as code environments. The ideal candidate would also have at least one of the following: In depth experience with GO development, including designing, building, debugging and optimising GO applications. Building or maintaining other remote development environments, such as Coder, GitHub Codespaces or Gitpod. Building or maintaining Linux kernel drivers and components. Use of telemetry tools and practices within a Kubernetes context, including monitoring, tracing and logging with systems such as Prometheus, Jaeger and Grafana. Working knowledge of container runtimes, in particular CRI O, and cloud native networking, in particular Cilium. Familiarity working with and integrating virtualised desktop technologies, such as Citrix or VMWare. Experience communicating strategy and socialising change to a wide and disparate audience. Benefits Why should you apply? Highly competitive compensation plus annual discretionary bonus. Lunch provided (via Just Eat for Business) and dedicated barista bar. 30 days' annual leave. 9% company pension contributions. Informal dress code and excellent work/life balance. Comprehensive healthcare and life assurance. Cycle to work scheme. Monthly company events. Inclusive Workplace G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.