Overview
We are seeking a proactive and customer-focused 2nd Line IT Support Engineer to join our growing IT team supporting schools across an Academy Trust based in and around Uttoxeter.
The successful candidate will provide day-to-day technical support to staff and students across multiple school sites, acting as an escalation point for First Line Support and helping to maintain reliable, secure and effective IT services.
This is a hands-on role suited to an experienced school IT technician looking to develop their skills within a supportive team environment.
Key Responsibilities
Technical Support
Act as an escalation point for incidents and service requests passed from First Line Support.
Diagnose and resolve issues relating to Windows devices, Microsoft 365, user accounts, printing, network connectivity and educational software.
Support staff and students with day-to-day IT issues both remotely and on-site.
Configure, deploy and maintain laptops, desktops, tablets and peripheral devices.
Support classroom technology including interactive displays, projectors, audio-visual equipment and printing solutions.
Maintain accurate asset records and technical documentation.
Escalate complex infrastructure issues to senior members of the IT team when required.
Microsoft 365 Administration
Administer Microsoft 365 user accounts, licensing and permissions.
Manage Microsoft Entra ID user accounts and security groups.
Support Exchange Online, Teams, OneDrive and SharePoint.
Assist with onboarding and offboarding staff through joiner, mover and leaver processes.
Support Microsoft Intune device management activities.
Assist with implementation of security and compliance policies.
Networking Support
Troubleshoot wired and wireless network issues.
Support switches, wireless access points, DHCP, DNS and VLAN configurations under guidance from senior engineers.
Assist with network documentation and monitoring.
Liaise with third-party suppliers where appropriate.
Education Technology Support
Support Management Information Systems (MIS) and associated educational software.
Provide support during examination periods and key school events.
Maintain classroom and curriculum technology.
Support safeguarding, filtering and monitoring solutions in accordance with Trust policies.
Team Working
Work collaboratively with colleagues across all Trust schools.
Provide excellent customer service to teaching and support staff.
Contribute to continuous improvement of IT services.
Share knowledge and best practice with other members of the IT team.
Participate in team meetings, training and professional development activities.
Essential Requirements
Experience
Previous experience working within a school, academy trust or educational environment.
Minimum two years' experience in an IT support role.
Experience supporting Microsoft 365 environments.
Experience troubleshooting Windows 10 and Windows 11 devices.
Experience supporting printers, classroom technology and educational systems.
Experience using an IT service desk or ticket management system.
Technical Knowledge
Microsoft 365 administration.
Microsoft Entra ID user management.
Windows 11 / Windows Server
Active Directory administration.
Basic networking including:
TCP/IP
DNS
DHCP
VLAN concepts
Wireless networking
Device deployment and management.
Personal Skills
Excellent problem-solving ability.
Strong communication and customer service skills.
Ability to manage competing priorities.
Professional and approachable manner.
Commitment to safeguarding and data security.
Full UK driving licence and access to a vehicle.
Desirable Requirements
Microsoft 365 Fundamentals (MS-900).
Microsoft Endpoint Administrator Associate (MD-102).
CompTIA Network+.
Cisco CCNA.
Experience with Microsoft Intune.
Experience with SharePoint administration.
Experience supporting MIS systems such as Arbor, Bromcom or SIMS.
PowerShell knowledge.
Working Arrangements
Salary: £28,000 – £30,000 per annum depending on experience. The top of the range will typically apply to candidates with 3+ years’ relevant experience and/or a relevant certification (e.g. MS-900, MD-102, Network+, CCNA).
Location: Academy Trust schools based in and around Uttoxeter
Contract: Full Time, Full Year
Hours: 37.5 hours per week, Monday to Friday, 08:00 - 17:00
Travel: Regular travel between Trust schools required. Team members travel directly to their assigned site each morning; mileage is not paid for this travel.
DBS Check: Enhanced DBS required
Why Join Us?
Varied role across multiple schools.
Supportive and collaborative IT team.
Investment in training and certification.
Opportunity to develop into a 3rd Line or Network Manager role as part of a growing Trust and IT team.
Standard Trust pension scheme.
25 days annual leave plus bank holidays.
Laptop provided.
Varied work with opportunities to learn new skills.
Meaningful work supporting education and improving outcomes for young people.
How to Apply
To apply, please email your CV to hello@evolveitsupport.co.uk.
16/07/2026
Full time
Overview
We are seeking a proactive and customer-focused 2nd Line IT Support Engineer to join our growing IT team supporting schools across an Academy Trust based in and around Uttoxeter.
The successful candidate will provide day-to-day technical support to staff and students across multiple school sites, acting as an escalation point for First Line Support and helping to maintain reliable, secure and effective IT services.
This is a hands-on role suited to an experienced school IT technician looking to develop their skills within a supportive team environment.
Key Responsibilities
Technical Support
Act as an escalation point for incidents and service requests passed from First Line Support.
Diagnose and resolve issues relating to Windows devices, Microsoft 365, user accounts, printing, network connectivity and educational software.
Support staff and students with day-to-day IT issues both remotely and on-site.
Configure, deploy and maintain laptops, desktops, tablets and peripheral devices.
Support classroom technology including interactive displays, projectors, audio-visual equipment and printing solutions.
Maintain accurate asset records and technical documentation.
Escalate complex infrastructure issues to senior members of the IT team when required.
Microsoft 365 Administration
Administer Microsoft 365 user accounts, licensing and permissions.
Manage Microsoft Entra ID user accounts and security groups.
Support Exchange Online, Teams, OneDrive and SharePoint.
Assist with onboarding and offboarding staff through joiner, mover and leaver processes.
Support Microsoft Intune device management activities.
Assist with implementation of security and compliance policies.
Networking Support
Troubleshoot wired and wireless network issues.
Support switches, wireless access points, DHCP, DNS and VLAN configurations under guidance from senior engineers.
Assist with network documentation and monitoring.
Liaise with third-party suppliers where appropriate.
Education Technology Support
Support Management Information Systems (MIS) and associated educational software.
Provide support during examination periods and key school events.
Maintain classroom and curriculum technology.
Support safeguarding, filtering and monitoring solutions in accordance with Trust policies.
Team Working
Work collaboratively with colleagues across all Trust schools.
Provide excellent customer service to teaching and support staff.
Contribute to continuous improvement of IT services.
Share knowledge and best practice with other members of the IT team.
Participate in team meetings, training and professional development activities.
Essential Requirements
Experience
Previous experience working within a school, academy trust or educational environment.
Minimum two years' experience in an IT support role.
Experience supporting Microsoft 365 environments.
Experience troubleshooting Windows 10 and Windows 11 devices.
Experience supporting printers, classroom technology and educational systems.
Experience using an IT service desk or ticket management system.
Technical Knowledge
Microsoft 365 administration.
Microsoft Entra ID user management.
Windows 11 / Windows Server
Active Directory administration.
Basic networking including:
TCP/IP
DNS
DHCP
VLAN concepts
Wireless networking
Device deployment and management.
Personal Skills
Excellent problem-solving ability.
Strong communication and customer service skills.
Ability to manage competing priorities.
Professional and approachable manner.
Commitment to safeguarding and data security.
Full UK driving licence and access to a vehicle.
Desirable Requirements
Microsoft 365 Fundamentals (MS-900).
Microsoft Endpoint Administrator Associate (MD-102).
CompTIA Network+.
Cisco CCNA.
Experience with Microsoft Intune.
Experience with SharePoint administration.
Experience supporting MIS systems such as Arbor, Bromcom or SIMS.
PowerShell knowledge.
Working Arrangements
Salary: £28,000 – £30,000 per annum depending on experience. The top of the range will typically apply to candidates with 3+ years’ relevant experience and/or a relevant certification (e.g. MS-900, MD-102, Network+, CCNA).
Location: Academy Trust schools based in and around Uttoxeter
Contract: Full Time, Full Year
Hours: 37.5 hours per week, Monday to Friday, 08:00 - 17:00
Travel: Regular travel between Trust schools required. Team members travel directly to their assigned site each morning; mileage is not paid for this travel.
DBS Check: Enhanced DBS required
Why Join Us?
Varied role across multiple schools.
Supportive and collaborative IT team.
Investment in training and certification.
Opportunity to develop into a 3rd Line or Network Manager role as part of a growing Trust and IT team.
Standard Trust pension scheme.
25 days annual leave plus bank holidays.
Laptop provided.
Varied work with opportunities to learn new skills.
Meaningful work supporting education and improving outcomes for young people.
How to Apply
To apply, please email your CV to hello@evolveitsupport.co.uk.
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.
26/07/2026
Full time
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.
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.
26/07/2026
Full time
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.
As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision making, and user experience across business workflows. Build LLM/SLM powered applications including RAG based systems, summarization/extraction pipelines, chat/coplay experiences, and tool using agents. Engineer production grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non technical audiences. Strong problem solving skills and ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, and Skills Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code. Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems. Experience deploying solutions on AWS and cloud native environments; understanding of security fundamentals and operational excellence. Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation. Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices. Preferred Qualifications, Capabilities, and Skills Experience building agentic AI systems (multi step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM as judge, human in the loop review, red teaming). Experience fine tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees' religious practices and beliefs, as well as mental health or physical disability needs.
26/07/2026
Full time
As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision making, and user experience across business workflows. Build LLM/SLM powered applications including RAG based systems, summarization/extraction pipelines, chat/coplay experiences, and tool using agents. Engineer production grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non technical audiences. Strong problem solving skills and ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, and Skills Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code. Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems. Experience deploying solutions on AWS and cloud native environments; understanding of security fundamentals and operational excellence. Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation. Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices. Preferred Qualifications, Capabilities, and Skills Experience building agentic AI systems (multi step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM as judge, human in the loop review, red teaming). Experience fine tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. As a Cloud Security Engineer at Starling, you'll be building and supporting tooling and infrastructure that spans across AWS and GCP supporting our internal operations and interfacing with other teams to deliver the services that support our business. We are seeking an experienced Cloud Security Engineer who believes that great security is built, not just configured. At Starling, security is a fundamental engineering pillar, and we're looking for a practitioner who thinks like a developer. While we are looking for deep cloud expertise, we are also highly interested in candidates with strong programming skills and a background in software engineering who want to apply those talents to security. This is a hands-on role for a builder who excels at writing clean, scalable code to automate away manual gates. You will work across AWS and GCP, developing the internal tools, guardrails, and services that empower our engineering teams to ship securely without sacrificing speed. Key Responsibilities Engineer Secure Foundations : You will lead the design and implementation of critical security services, with a heavy focus on building robust Identity and Access Management (IAM) systems and automated, API-driven certificate management workflows. Security-as-Code & Scalability : Leveraging a software-first philosophy, you will develop and maintain high-quality, scalable security tooling and middleware within ECS and Kubernetes environments, ensuring security logic is integrated directly into the deployment pipeline. Collaborative Code Ownership : You will serve as a technical authority in cross-functional code reviews , acting as an engineering peer who helps teams bake security into their services from the first line of code to the final pull request. Proactive System Hardening : You will stay ahead of the evolving threat landscape by treating security as a continuous engineering challenge-proactively identifying vulnerabilities and architecting technical solutions to fortify our global ecosystem. Professional Requirements Demonstrated ability to architect secure, distributed systems with a focus on programmatic IAM and automated, API-driven PKI management . Extensive experience with Infrastructure as Code (IaC) in Terraform and a deep commitment to writing clean, maintainable, and production-grade code -ideally in Golang . A test-first mentality toward security, with experience building unit and integration tests into CI/CD pipelines to ensure that security guardrails are as reliable as the features they protect. A strong conceptual grasp of cryptographic primitives and hands-on experience securing containerized workloads and service meshes within ECS and Kubernetes . A track record of taking end-to-end ownership of complex technical projects, from initial design docs and RFCs through to deployment and observability. A belief that if it isn't tested, it's broken , and a drive to proactively identify and fix vulnerabilities by treating security as a continuous engineering challenge. Our Team Philosophy The Security Engineering team is a diverse and dynamic group passionate about building secure and resilient systems. We're enthusiastic about security, but we're not about rigid, one-size-fits-all controls. We believe in striking a balance between protecting our systems and empowering our developers to build and innovate. Our goal is to make security a seamless part of the development lifecycle, not a roadblock. If you are someone who thrives in a collaborative environment and is excited about finding innovative security solutions, we would love to hear from you. Our process: Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial phone call - 45 minutes Take home technical test to be discussed in the technical interview - 3 hours Technical interview - 1.5 hours Final Interview - 40 minutes 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us: You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
26/07/2026
Full time
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. As a Cloud Security Engineer at Starling, you'll be building and supporting tooling and infrastructure that spans across AWS and GCP supporting our internal operations and interfacing with other teams to deliver the services that support our business. We are seeking an experienced Cloud Security Engineer who believes that great security is built, not just configured. At Starling, security is a fundamental engineering pillar, and we're looking for a practitioner who thinks like a developer. While we are looking for deep cloud expertise, we are also highly interested in candidates with strong programming skills and a background in software engineering who want to apply those talents to security. This is a hands-on role for a builder who excels at writing clean, scalable code to automate away manual gates. You will work across AWS and GCP, developing the internal tools, guardrails, and services that empower our engineering teams to ship securely without sacrificing speed. Key Responsibilities Engineer Secure Foundations : You will lead the design and implementation of critical security services, with a heavy focus on building robust Identity and Access Management (IAM) systems and automated, API-driven certificate management workflows. Security-as-Code & Scalability : Leveraging a software-first philosophy, you will develop and maintain high-quality, scalable security tooling and middleware within ECS and Kubernetes environments, ensuring security logic is integrated directly into the deployment pipeline. Collaborative Code Ownership : You will serve as a technical authority in cross-functional code reviews , acting as an engineering peer who helps teams bake security into their services from the first line of code to the final pull request. Proactive System Hardening : You will stay ahead of the evolving threat landscape by treating security as a continuous engineering challenge-proactively identifying vulnerabilities and architecting technical solutions to fortify our global ecosystem. Professional Requirements Demonstrated ability to architect secure, distributed systems with a focus on programmatic IAM and automated, API-driven PKI management . Extensive experience with Infrastructure as Code (IaC) in Terraform and a deep commitment to writing clean, maintainable, and production-grade code -ideally in Golang . A test-first mentality toward security, with experience building unit and integration tests into CI/CD pipelines to ensure that security guardrails are as reliable as the features they protect. A strong conceptual grasp of cryptographic primitives and hands-on experience securing containerized workloads and service meshes within ECS and Kubernetes . A track record of taking end-to-end ownership of complex technical projects, from initial design docs and RFCs through to deployment and observability. A belief that if it isn't tested, it's broken , and a drive to proactively identify and fix vulnerabilities by treating security as a continuous engineering challenge. Our Team Philosophy The Security Engineering team is a diverse and dynamic group passionate about building secure and resilient systems. We're enthusiastic about security, but we're not about rigid, one-size-fits-all controls. We believe in striking a balance between protecting our systems and empowering our developers to build and innovate. Our goal is to make security a seamless part of the development lifecycle, not a roadblock. If you are someone who thrives in a collaborative environment and is excited about finding innovative security solutions, we would love to hear from you. Our process: Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial phone call - 45 minutes Take home technical test to be discussed in the technical interview - 3 hours Technical interview - 1.5 hours Final Interview - 40 minutes 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us: You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Hargreaves Lansdown PLC seeks a Principal Engineer for the Transfers Tribe, responsible for shaping the technical direction and ensuring architectural integrity of systems. You will solve complex problems, mentor engineers, and collaborate with various teams while delivering product-led solutions. The role requires strong Java expertise, experience with AWS, and excellent communication skills to articulate technical design choices. Benefits include a discretionary bonus, flexible working options, and a pension scheme with up to 11% employer contribution.
26/07/2026
Full time
Hargreaves Lansdown PLC seeks a Principal Engineer for the Transfers Tribe, responsible for shaping the technical direction and ensuring architectural integrity of systems. You will solve complex problems, mentor engineers, and collaborate with various teams while delivering product-led solutions. The role requires strong Java expertise, experience with AWS, and excellent communication skills to articulate technical design choices. Benefits include a discretionary bonus, flexible working options, and a pension scheme with up to 11% employer contribution.
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
26/07/2026
Full time
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
Starling Bank is seeking an experienced Cloud Security Engineer to build and support security tooling across AWS and GCP. The role involves leading the design of security services and integrating security into the development lifecycle. Candidates should have strong programming skills and a background in software engineering, with a focus on security best practices. You will work in a hybrid model, emphasizing collaboration and innovation within a dynamic team. Starling values diverse backgrounds and empowers engineers to contribute to challenging security problems.
26/07/2026
Full time
Starling Bank is seeking an experienced Cloud Security Engineer to build and support security tooling across AWS and GCP. The role involves leading the design of security services and integrating security into the development lifecycle. Candidates should have strong programming skills and a background in software engineering, with a focus on security best practices. You will work in a hybrid model, emphasizing collaboration and innovation within a dynamic team. Starling values diverse backgrounds and empowers engineers to contribute to challenging security problems.
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.
26/07/2026
Full time
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.
IT Operations Platforms and Security Lead This role requires excellent management of a small team in IT along with managing stakeholders and vendors. You must be hands on technically in IT Infrastructure. The IT Operational Platform and Security Lead is responsible for overseeing the organisation's IT operations, ensuring the stability, continuity, security, and efficiency of its technology platforms within a global commercial insurance environment. While Microsoft technologies (Microsoft 365, Azure, Exchange Online) form a core part of the infrastructure, the role also encompasses broader enterprise IT systems, multi layered networking, security, data management, and third party platforms that support global business operations and the associated applications estate. The role requires a proactive leader who can drive IT operational excellence, manage security risks, focus on continual service improvement, drive transformational delivery projects, and work effectively with internal stakeholders and third party vendors to deliver a high quality Global IT services. Working in line with the Architecture defined IT principle of a 'buy before build' environment, the individual will need to ensure that outsourced and cloud based services are robust, cost effective, and aligned with business needs and the Strategic IT vision. They will also play a key role in enhancing cybersecurity, protecting data and systems, driving transformative operational change, enhancing IT processes and ensuring compliance with governance bodies and industry regulations. Due to the nature of the role, complexity Security, Compliance & Risk Management Define and enforce cloud security policies, identity management, and access controls to protect systems, networks, and data. Oversee the adoption of zero trust security principles to enhance protection across cloud platforms. Manage identity and access management (IAM) in a cloud first environment, including Azure AD, MFA, Conditional Access, SSO, and Privileged Access Management (PAM). Lead threat monitoring, detection, and response using cloud native security solutions such as Microsoft Defender, Sentinel, and SIEM platforms. Ensure compliance with cloud security frameworks and regulatory requirements (ISO 27001, NIST, GDPR, SOC2, FCA). Conduct regular security risk assessments, penetration tests, and vulnerability management across cloud services. Oversee endpoint security, cloud network and API security for robust protection across all assets. Define, manage and maintain accurate DR and BCP plans for the infrastructure area with biannual tests. Technical Experience Microsoft Azure Infrastructure design and administration, including topology, Azure networking, services, and component knowledge. Microsoft AD (Entra), Server and SQL experience. O365 administration and design. Global Software Patching and estate management via Intune. Firewall (Azure, CheckPoint and Cloudflare), DNS, VPN, WIFI and Local Area Network design & administration experience. Software Defined Networking (Cisco, Meraki, Versa). Key Skills Microsoft 365 & Azure: Strong experience managing Microsoft 365 (Exchange, SharePoint, Teams), Azure cloud infrastructure, and security tools such as Microsoft Defender and Sentinel. Security & Compliance: Deep knowledge of security frameworks (ISO 27001, NIST, CIS), compliance requirements (GDPR, SOC2), and risk management best practices. Identity & Access Management (IAM): Expertise in Azure AD, MFA, Conditional Access, Single Sign On (SSO), and Privileged Access Management (PAM). Threat Management & Incident Response: Ability to detect, respond to, and mitigate cyber threats using SIEM, endpoint security, and vulnerability management tools. Networking & Infrastructure Security: Understanding of firewalls, VPNs, SD WAN, DNS security, endpoint protection, and cloud security controls. IT Service Management & Automation: Experience implementing ITIL based service management, automating operational tasks, and optimising service delivery. IT Operations & Service Continuity: Ability to ensure IT systems are highly available, resilient, and fit for purpose, with a strong focus on business continuity and disaster recovery. Supplier & Vendor Management: Experience managing third party IT vendors, MSPs, and SaaS providers, ensuring service levels, performance, and cost effectiveness. Project Leadership & Change Management: Ability to lead technology projects, system upgrades, and platform migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Problem Solving & Decision Making: Capable of making informed decisions and resolving complex IT issues in a fast paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non technical stakeholders, including senior leadership and business users. Resilience & Adaptability: Comfortable working in an evolving technology landscape, with a proactive and security first approach. Summary of Skills Required: Global Enterprise level Infrastructure Management position for the last 5 years. Global team management (human resources, strategic delivery, operational service, audit lead for Infra, budget ). Key - 3rd party operational infrastructure vendor management - i.e management of managed service partners. Migration of Legacy VM based estates to SaaS and Cloud services platforms. Legacy tech to Azure knowledge/experience. Prior to the last 5 years, a technical infrastructure engineering level background, working on Windows Server, AD , SQL environments, Firewalls/SDWAN, and Networks (WAN &/or LAN). The Client is based in the City of London. This is a hybrid position with 3 days in the office. The salary for this role will be in the range £85K - £100K plus Benefits. Do send your CV to us in Word format along with your salary and notice period.
26/07/2026
Full time
IT Operations Platforms and Security Lead This role requires excellent management of a small team in IT along with managing stakeholders and vendors. You must be hands on technically in IT Infrastructure. The IT Operational Platform and Security Lead is responsible for overseeing the organisation's IT operations, ensuring the stability, continuity, security, and efficiency of its technology platforms within a global commercial insurance environment. While Microsoft technologies (Microsoft 365, Azure, Exchange Online) form a core part of the infrastructure, the role also encompasses broader enterprise IT systems, multi layered networking, security, data management, and third party platforms that support global business operations and the associated applications estate. The role requires a proactive leader who can drive IT operational excellence, manage security risks, focus on continual service improvement, drive transformational delivery projects, and work effectively with internal stakeholders and third party vendors to deliver a high quality Global IT services. Working in line with the Architecture defined IT principle of a 'buy before build' environment, the individual will need to ensure that outsourced and cloud based services are robust, cost effective, and aligned with business needs and the Strategic IT vision. They will also play a key role in enhancing cybersecurity, protecting data and systems, driving transformative operational change, enhancing IT processes and ensuring compliance with governance bodies and industry regulations. Due to the nature of the role, complexity Security, Compliance & Risk Management Define and enforce cloud security policies, identity management, and access controls to protect systems, networks, and data. Oversee the adoption of zero trust security principles to enhance protection across cloud platforms. Manage identity and access management (IAM) in a cloud first environment, including Azure AD, MFA, Conditional Access, SSO, and Privileged Access Management (PAM). Lead threat monitoring, detection, and response using cloud native security solutions such as Microsoft Defender, Sentinel, and SIEM platforms. Ensure compliance with cloud security frameworks and regulatory requirements (ISO 27001, NIST, GDPR, SOC2, FCA). Conduct regular security risk assessments, penetration tests, and vulnerability management across cloud services. Oversee endpoint security, cloud network and API security for robust protection across all assets. Define, manage and maintain accurate DR and BCP plans for the infrastructure area with biannual tests. Technical Experience Microsoft Azure Infrastructure design and administration, including topology, Azure networking, services, and component knowledge. Microsoft AD (Entra), Server and SQL experience. O365 administration and design. Global Software Patching and estate management via Intune. Firewall (Azure, CheckPoint and Cloudflare), DNS, VPN, WIFI and Local Area Network design & administration experience. Software Defined Networking (Cisco, Meraki, Versa). Key Skills Microsoft 365 & Azure: Strong experience managing Microsoft 365 (Exchange, SharePoint, Teams), Azure cloud infrastructure, and security tools such as Microsoft Defender and Sentinel. Security & Compliance: Deep knowledge of security frameworks (ISO 27001, NIST, CIS), compliance requirements (GDPR, SOC2), and risk management best practices. Identity & Access Management (IAM): Expertise in Azure AD, MFA, Conditional Access, Single Sign On (SSO), and Privileged Access Management (PAM). Threat Management & Incident Response: Ability to detect, respond to, and mitigate cyber threats using SIEM, endpoint security, and vulnerability management tools. Networking & Infrastructure Security: Understanding of firewalls, VPNs, SD WAN, DNS security, endpoint protection, and cloud security controls. IT Service Management & Automation: Experience implementing ITIL based service management, automating operational tasks, and optimising service delivery. IT Operations & Service Continuity: Ability to ensure IT systems are highly available, resilient, and fit for purpose, with a strong focus on business continuity and disaster recovery. Supplier & Vendor Management: Experience managing third party IT vendors, MSPs, and SaaS providers, ensuring service levels, performance, and cost effectiveness. Project Leadership & Change Management: Ability to lead technology projects, system upgrades, and platform migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Problem Solving & Decision Making: Capable of making informed decisions and resolving complex IT issues in a fast paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non technical stakeholders, including senior leadership and business users. Resilience & Adaptability: Comfortable working in an evolving technology landscape, with a proactive and security first approach. Summary of Skills Required: Global Enterprise level Infrastructure Management position for the last 5 years. Global team management (human resources, strategic delivery, operational service, audit lead for Infra, budget ). Key - 3rd party operational infrastructure vendor management - i.e management of managed service partners. Migration of Legacy VM based estates to SaaS and Cloud services platforms. Legacy tech to Azure knowledge/experience. Prior to the last 5 years, a technical infrastructure engineering level background, working on Windows Server, AD , SQL environments, Firewalls/SDWAN, and Networks (WAN &/or LAN). The Client is based in the City of London. This is a hybrid position with 3 days in the office. The salary for this role will be in the range £85K - £100K plus Benefits. Do send your CV to us in Word format along with your salary and notice period.
Harvey Nash Group is seeking a Developer for a 12-month remote project, focusing on AWS technologies and modern JavaScript. An ideal candidate will have significant experience in developing microservices and collaborating with teams to deliver effective software solutions. This role allows flexible working but requires occasional travel to the Edinburgh office. A valid standard Disclosure Scotland is necessary for applicants.
26/07/2026
Full time
Harvey Nash Group is seeking a Developer for a 12-month remote project, focusing on AWS technologies and modern JavaScript. An ideal candidate will have significant experience in developing microservices and collaborating with teams to deliver effective software solutions. This role allows flexible working but requires occasional travel to the Edinburgh office. A valid standard Disclosure Scotland is necessary for applicants.
Multiverse Computing Multiverse Computing is a fast growing deep tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting edge AI and quantum technologies. Why join us? We are a European deep tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI powered solutions. Key requirements Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: English Preferred Qualifications Experience with Computer Vision models, Speech models, Vision Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands on experience designing RAG pipelines and/or multi agent systems. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. Location Applicants must have legal authorization to work in the country where the position is based. Perks & Benefits Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
26/07/2026
Full time
Multiverse Computing Multiverse Computing is a fast growing deep tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting edge AI and quantum technologies. Why join us? We are a European deep tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI powered solutions. Key requirements Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: English Preferred Qualifications Experience with Computer Vision models, Speech models, Vision Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands on experience designing RAG pipelines and/or multi agent systems. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. Location Applicants must have legal authorization to work in the country where the position is based. Perks & Benefits Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
This is a great opportunity for an experienced full stack engineer to join our growing engineering team. You'll report to the CTO and work alongside the founders and the rest of our small engineering team. Role You'll build a SaaS application using cutting edge technology (React, Rust & TypeScript), and you'll be hands on with everything adjacent to that, from cloud deployment to system architecture. You'll work across the stack. We're still a small team, so you'll be involved in every aspect of the product. That means more than the frontend and backend of our codebase: you might speak to users to help them get the most out of the product, or help the sales team build a demo for a pitch. You'll influence what we build together, not just how we build it - you'll decide where we should focus our efforts to deliver the most value for our customers, and lay a solid foundation for the product and the business in the future. You'll work alongside engineers with previous experience building and scaling a B2B SaaS product from zero to exit. We're looking for someone who is motivated by making a difference for customers, and by building something that solves real problems for real people. thrives in a fast paced, less structured operating environment - you're confident in your ability to be sure you're working on the most important thing at any given moment. cares about building high quality software, and you have strong opinions on how to do that. You understand the trade offs between doing things 'right', and doing things 'at the right time' in a growing business. is comfortable working on the backend or the frontend, building 'both sides' of a feature - even if you have a preference for one or the other. has 5+ years of experience in Software Engineering, building customer facing applications where you spoke directly to users. can demonstrate proficiency using Rust in a professional or open source context. is able to spend at least 2 days (Monday + Tuesday) per week at our office in Central London. Benefits £80-100k salary depending on your experience. We think you should choose how to spend your comp, not us! We prioritise your base salary over expensive benefits. Every role comes with generous equity options. 33 days of annual leave per year. This includes public holidays (you are free to take them on public holidays or not). Currently, the first Friday of every month is a company wide day off, which doesn't eat up your leave allowance. FAQs What is your office/remote working policy? Everybody attends our Central London office on Mondays and Tuesdays, unless it's a day off! It's really important for us to have this time together, face to face. You can choose to work from home or attend the office on Wednesdays, Thursdays and Fridays. What are the working hours like? We believe that we get the best results in the long term by keeping things sustainable. Problem solving and relationship building works better when you're feeling fresh! Aim for 9am 6pm with flexibility when you need it. Sometimes we'll have to work late or on a weekend to meet a deadline, but this is the exception and not the norm. We expect you to use up your annual leave allowance in full and encourage you to make best use of the monthly Friday off! (see Benefits) Where is the office? The office is currently located right next to Victoria station in London. If we move to a new office, it will be in Central London and near to a public transport hub. Do you have company socials? We have a social every month on an office Tuesday. There's a generous budget so we can enjoy an activity or go for a nice meal. What is your tech stack? We're using React & TypeScript on the frontend, and Rust on the backend - everything is hosted on Google Cloud, and we're all in on Postgres. Interview process 30 minute initial call Take home task Half day on site final interviews
26/07/2026
Full time
This is a great opportunity for an experienced full stack engineer to join our growing engineering team. You'll report to the CTO and work alongside the founders and the rest of our small engineering team. Role You'll build a SaaS application using cutting edge technology (React, Rust & TypeScript), and you'll be hands on with everything adjacent to that, from cloud deployment to system architecture. You'll work across the stack. We're still a small team, so you'll be involved in every aspect of the product. That means more than the frontend and backend of our codebase: you might speak to users to help them get the most out of the product, or help the sales team build a demo for a pitch. You'll influence what we build together, not just how we build it - you'll decide where we should focus our efforts to deliver the most value for our customers, and lay a solid foundation for the product and the business in the future. You'll work alongside engineers with previous experience building and scaling a B2B SaaS product from zero to exit. We're looking for someone who is motivated by making a difference for customers, and by building something that solves real problems for real people. thrives in a fast paced, less structured operating environment - you're confident in your ability to be sure you're working on the most important thing at any given moment. cares about building high quality software, and you have strong opinions on how to do that. You understand the trade offs between doing things 'right', and doing things 'at the right time' in a growing business. is comfortable working on the backend or the frontend, building 'both sides' of a feature - even if you have a preference for one or the other. has 5+ years of experience in Software Engineering, building customer facing applications where you spoke directly to users. can demonstrate proficiency using Rust in a professional or open source context. is able to spend at least 2 days (Monday + Tuesday) per week at our office in Central London. Benefits £80-100k salary depending on your experience. We think you should choose how to spend your comp, not us! We prioritise your base salary over expensive benefits. Every role comes with generous equity options. 33 days of annual leave per year. This includes public holidays (you are free to take them on public holidays or not). Currently, the first Friday of every month is a company wide day off, which doesn't eat up your leave allowance. FAQs What is your office/remote working policy? Everybody attends our Central London office on Mondays and Tuesdays, unless it's a day off! It's really important for us to have this time together, face to face. You can choose to work from home or attend the office on Wednesdays, Thursdays and Fridays. What are the working hours like? We believe that we get the best results in the long term by keeping things sustainable. Problem solving and relationship building works better when you're feeling fresh! Aim for 9am 6pm with flexibility when you need it. Sometimes we'll have to work late or on a weekend to meet a deadline, but this is the exception and not the norm. We expect you to use up your annual leave allowance in full and encourage you to make best use of the monthly Friday off! (see Benefits) Where is the office? The office is currently located right next to Victoria station in London. If we move to a new office, it will be in Central London and near to a public transport hub. Do you have company socials? We have a social every month on an office Tuesday. There's a generous budget so we can enjoy an activity or go for a nice meal. What is your tech stack? We're using React & TypeScript on the frontend, and Rust on the backend - everything is hosted on Google Cloud, and we're all in on Postgres. Interview process 30 minute initial call Take home task Half day on site final interviews
MCS Group is partnering with a leading technology company in Belfast seeking a Senior Software Engineer. This role offers the opportunity to work on core AI products, leading and mentoring junior engineers. The ideal candidate will have extensive experience in back-end development, particularly with Node.js, and a background in scalable architectures. The position offers an excellent salary up to £80,000 along with a top-tier benefits package.
26/07/2026
Full time
MCS Group is partnering with a leading technology company in Belfast seeking a Senior Software Engineer. This role offers the opportunity to work on core AI products, leading and mentoring junior engineers. The ideal candidate will have extensive experience in back-end development, particularly with Node.js, and a background in scalable architectures. The position offers an excellent salary up to £80,000 along with a top-tier benefits package.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high-performing data and AI products that underpin data-driven decision-making across British Airways. What you'll do: Lead the end-to-end delivery and lifecycle management of data science products and initiatives Scope and frame ill-defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision-support tools Design, build and deploy production-ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high-quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross-functional Agile squads Contribute to feature prioritisation and road-mapping, balancing speed and long-term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non-technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship-building capability Experience coaching, developing and line-managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
26/07/2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high-performing data and AI products that underpin data-driven decision-making across British Airways. What you'll do: Lead the end-to-end delivery and lifecycle management of data science products and initiatives Scope and frame ill-defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision-support tools Design, build and deploy production-ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high-quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross-functional Agile squads Contribute to feature prioritisation and road-mapping, balancing speed and long-term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non-technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship-building capability Experience coaching, developing and line-managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Platformed is seeking an experienced Full Stack Engineer to join our engineering team in Central London. You will work closely with the CTO and the founders, enhancing our SaaS application with cutting-edge technologies including React, Rust, and TypeScript. The ideal candidate will have over 5 years of experience, be capable of working on both frontend and backend, and will be motivated by creating impactful solutions for our customers. The role offers a competitive salary and generous benefits.
26/07/2026
Full time
Platformed is seeking an experienced Full Stack Engineer to join our engineering team in Central London. You will work closely with the CTO and the founders, enhancing our SaaS application with cutting-edge technologies including React, Rust, and TypeScript. The ideal candidate will have over 5 years of experience, be capable of working on both frontend and backend, and will be motivated by creating impactful solutions for our customers. The role offers a competitive salary and generous benefits.
twentysix is looking for a highly skilled Lead AI Engineer to drive the development of innovative AI-powered tools. This role involves project leadership and collaboration with cross-functional teams to create solutions that enhance client experiences. The ideal candidate will have extensive experience in software development and AI systems, along with expertise in creative technology and effective communication skills. Join us to shape the future of technology and engineering.
26/07/2026
Full time
twentysix is looking for a highly skilled Lead AI Engineer to drive the development of innovative AI-powered tools. This role involves project leadership and collaboration with cross-functional teams to create solutions that enhance client experiences. The ideal candidate will have extensive experience in software development and AI systems, along with expertise in creative technology and effective communication skills. Join us to shape the future of technology and engineering.
Back End Software Engineer - 6 months - Glasgow - Outside IR35 Day rate - Circa £480 Harvey Nash's public sector client are currently looking to recruit a Back End Software Engineer to join their team based Glasgow/Remote for an initial 6 month period. Main Duties: Work across technical teams formed of supplier, contract and permanent resource Develop new features in a secure way in line with industry best-practices Provide production support and support on fixing application issues Identifying production and non-production application defects Train and knowledge share with colleagues Looking ahead for future opportunities or blockers, and ensuring decisions by teams align with the technical direction Identify operational improvements and work to ensure a stable service that can be enhanced Anticipate and mitigate against project challenges or risks Essential Skills: Technology knowledge - Demonstrable experience in the minimum of 4 of the below: Particular working experience with Java 8+ Experience in using Spring/Spring Boot frameworks Experience in designing and developing RESTful microservices Experience writing unit and integration tests Experience with CI/CD, including build tools (Jenkins, Groovy/Gradle, Maven, etc) Experience with AWS, Docker containers & associated tooling General knowledge - Demonstrable Experience in a minimum of three of the below practices and design patterns: Server side and front end coding Programming Best Practices (i.e. Clean Code, SOLID, etc.) Are familiar with good continuous integration and continuous delivery principles Experience of microservice design patterns Demonstrable Experience in a minimum of 3 of these bridging the gap between the technical and non technical: Translate technical concepts between infrastructure, delivery management and service management so they are understood by all Able to speak on behalf of technical and development teams and facilitate the relationships with indirect stakeholders Able to share knowledge and mentor (potentially non technical) colleagues Desirable Skills & Experience Proficiency in both Java (particular in Sprint Boot) and JS would be advantageous Knowledge of multiple JS frameworks and tools (e.g. React, Angular, Vue, NodeJS, Redux, Typescript, Webpack, Jest) Working experience with MySQL compatible DBs (MySQL, RDS, Aurora, MariaDB) Experience with Docker/Bash/Shell Scripting This role has been deemed Outside IR35 by the client. Applicants must hold, or be happy to apply for, a valid Basic Disclosure Scotland.
26/07/2026
Full time
Back End Software Engineer - 6 months - Glasgow - Outside IR35 Day rate - Circa £480 Harvey Nash's public sector client are currently looking to recruit a Back End Software Engineer to join their team based Glasgow/Remote for an initial 6 month period. Main Duties: Work across technical teams formed of supplier, contract and permanent resource Develop new features in a secure way in line with industry best-practices Provide production support and support on fixing application issues Identifying production and non-production application defects Train and knowledge share with colleagues Looking ahead for future opportunities or blockers, and ensuring decisions by teams align with the technical direction Identify operational improvements and work to ensure a stable service that can be enhanced Anticipate and mitigate against project challenges or risks Essential Skills: Technology knowledge - Demonstrable experience in the minimum of 4 of the below: Particular working experience with Java 8+ Experience in using Spring/Spring Boot frameworks Experience in designing and developing RESTful microservices Experience writing unit and integration tests Experience with CI/CD, including build tools (Jenkins, Groovy/Gradle, Maven, etc) Experience with AWS, Docker containers & associated tooling General knowledge - Demonstrable Experience in a minimum of three of the below practices and design patterns: Server side and front end coding Programming Best Practices (i.e. Clean Code, SOLID, etc.) Are familiar with good continuous integration and continuous delivery principles Experience of microservice design patterns Demonstrable Experience in a minimum of 3 of these bridging the gap between the technical and non technical: Translate technical concepts between infrastructure, delivery management and service management so they are understood by all Able to speak on behalf of technical and development teams and facilitate the relationships with indirect stakeholders Able to share knowledge and mentor (potentially non technical) colleagues Desirable Skills & Experience Proficiency in both Java (particular in Sprint Boot) and JS would be advantageous Knowledge of multiple JS frameworks and tools (e.g. React, Angular, Vue, NodeJS, Redux, Typescript, Webpack, Jest) Working experience with MySQL compatible DBs (MySQL, RDS, Aurora, MariaDB) Experience with Docker/Bash/Shell Scripting This role has been deemed Outside IR35 by the client. Applicants must hold, or be happy to apply for, a valid Basic Disclosure Scotland.
MCS Group is proud to be partnering again with one of the UK and Ireland's most exciting technology companies in their search for a Senior Software Engineer. The company's product suite sits at the forefront of AI and this firm is truly in growth mode. This is a truly unique opportunity for an experienced software engineer who is seeking to join a tech company that is truly scaling (competing and winning against the big names in AI in industry today) and to future proof their career. Working on one of their core products, as a Senior Back-end Engineer you will own the design, quality, and delivery of back-end systems and services working with Node.js primarily. What You'll Do The Senior Engineer will technically Lead and mentor more junior back-end engineers. Define architecture, coding standards, and best practices. Work with product and engineering teams to shape technical solutions. Build and maintain back-end services and APIs using Node.js. Ensure systems are scalable, secure, and reliable. What We're Looking For You'll have deep commercial experience in back-end development (Node.js and server-side JavaScript). You'll have a strong background in scalable, server-side architecture. Experience delivering services at scale. Comfortable working in agile teams. Strong communication and technical leadership skills. Salary Up to £80,000 with a leading benefits package which includes amazing annual leave entitlement (one of the best in the private sector) and share options.
26/07/2026
Full time
MCS Group is proud to be partnering again with one of the UK and Ireland's most exciting technology companies in their search for a Senior Software Engineer. The company's product suite sits at the forefront of AI and this firm is truly in growth mode. This is a truly unique opportunity for an experienced software engineer who is seeking to join a tech company that is truly scaling (competing and winning against the big names in AI in industry today) and to future proof their career. Working on one of their core products, as a Senior Back-end Engineer you will own the design, quality, and delivery of back-end systems and services working with Node.js primarily. What You'll Do The Senior Engineer will technically Lead and mentor more junior back-end engineers. Define architecture, coding standards, and best practices. Work with product and engineering teams to shape technical solutions. Build and maintain back-end services and APIs using Node.js. Ensure systems are scalable, secure, and reliable. What We're Looking For You'll have deep commercial experience in back-end development (Node.js and server-side JavaScript). You'll have a strong background in scalable, server-side architecture. Experience delivering services at scale. Comfortable working in agile teams. Strong communication and technical leadership skills. Salary Up to £80,000 with a leading benefits package which includes amazing annual leave entitlement (one of the best in the private sector) and share options.
MediaTek Research Lab Inc. is seeking a Principal Engineer - GPU Driver & System Software to enhance next-generation GPU technologies in Cambourne, UK. This role involves architecting and optimizing GPU systems, ensuring performance across the entire software stack, and addressing complex technical challenges. The ideal candidate will have over 8 years of experience in GPU systems and be fluent in C/C++. Join a leading company at the forefront of semiconductor technology and make an impact in advancing graphics and computing performance.
26/07/2026
Full time
MediaTek Research Lab Inc. is seeking a Principal Engineer - GPU Driver & System Software to enhance next-generation GPU technologies in Cambourne, UK. This role involves architecting and optimizing GPU systems, ensuring performance across the entire software stack, and addressing complex technical challenges. The ideal candidate will have over 8 years of experience in GPU systems and be fluent in C/C++. Join a leading company at the forefront of semiconductor technology and make an impact in advancing graphics and computing performance.
