
CoMind · London
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be he...
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring.
In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain
disorders, ultimately improving and saving the lives of patients across the world.
The Systems Engineering function at CoMind sits at the intersection of hardware, software, and clinical domains, responsible for
defining and managing requirements and driving system-level architecture decisions, supporting product risk management activities
and informing product integration and verification campaigns. As a member of the System and Product Assurance team the Senior
System Engineer role reports into the Systems and V+V Manager.
As the Systems Engineer, you will own requirements management, system-level design, and integration activities for CoMind’s
device. Working closely with product management and across hardware, software, optical, and regulatory functions you will ensure
the system performs as intended in its clinical use environment. You will define and maintain the system architecture and
requirements baselines, drive V&V planning and execution, and act as a technical integrator across the engineering team. The role
will work closely with the product Risk Manager to ensure close integration of risk management activities with system design and
integration.
At CoMind, all team members work at least 4 days per week in the office, plus a flexible work-from-home day. This role can be
based in either our London (Kings Cross) or Bristol office.
subsystem specifications and test evidence
software, and optical subsystems
ensuring all interfaces are correctly specified and verified
regulatory evidence is generated to the required standard
verification
structures, and traceability practices
activities
all team members to embrace AI in their daily work and continuously find new ways to use it effectively
complex, multi-domain products
design control processes
engineering approaches
multi-disciplinary engineering environment
reports to regulatory standards
regulatory, and executive stakeholders
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About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted. The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision. You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps. You might find yourself: * Expanding measurement coverage from small clusters to full racks * Designing workloads that expose system behaviour * Building systems to run experiments across large clusters * Interpreting results and defining what “good enough” looks like This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgement. We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume. Selection criteria: Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important. Essential * Strong software engineering experience, typically gained across multiple projects or systems over several years * Experience working in Linux-based environments, ideally with distributed or high-performance systems * Proficiency in Python * Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions) * Ability to design, implement, and run experiments or tests that produce meaningful results * Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making * Comfortable working in areas where requirements are not fully defined and judgement is required Desirable * Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments) * Experience with performance, reliability, or systems-level testing/measurement * Familiarity with pytest or similar frameworks for structured test/measurement execution * Experience analysing system behaviour under load (compute, network, or ML workloads) * Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack) * Proficiency in other applications programming languages (e.g. C++) * Exposure to data analysis, statistics, or interpreting variability in results Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We turn large-scale system measurements into decisions. Our team runs workloads across clusters of machines and collects detailed performance data. The challenge isn’t running the measurements—it’s deciding what they mean, and whether a system is good enough to enter production. You will work with results from real systems and help answer questions like: * Is this system behaving as expected? * Is performance stable enough to trust? * Does this meet the criteria to enter production? This work includes systems engineering and analysis. It involves understanding variability, repeatability, and the differences between signal and noise. You won’t be confined to a single role. You may shape measurements, influence how they are run, or improve how results are interpreted. You are free to specialise, but the team is responsible for leaving no gaps. This is not a dashboarding or reporting role in the traditional sense. The goal is to produce outputs that support real engineering decisions. We’re looking for engineers who: * Think carefully about uncertainty and evidence * Prefer clarity over presentation * Are comfortable challenging conclusions when data is weak Selection criteria: Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important. Essential * Strong software engineering experience, typically gained across multiple projects or systems over several years * Experience working in Linux-based environments, ideally with distributed or high-performance systems * Proficiency in Python * Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions) * Ability to design, implement, and run experiments or tests that produce meaningful results * Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making * Comfortable working in areas where requirements are not fully defined and judgement is required Desirable * Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments) * Experience with performance, reliability, or systems-level testing/measurement * Familiarity with pytest or similar frameworks for structured test/measurement execution * Experience analysing system behaviour under load (compute, network, or ML workloads) * Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack) * Proficiency in other applications programming languages (e.g. C++)7. Exposure to data analysis, statistics, or interpreting variability in results Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026 The Team We are seeking an experienced Senior Systems Engineer to join our Platform Engineering team. You’ll play a critical role in building and maintaining the automation frameworks that underpin our infrastructure operations. This position offers the opportunity to work with cutting-edge technologies at scale, supporting our global trading and research operations. As a Senior Engineer, you’ll design, implement, and maintain infrastructure-as-code solutions, configuration management, infrastructure orchestration platforms, and monitoring systems that enable our engineering teams to deliver reliable, scalable services. You’ll work closely with the entirety of our infrastructure organization, development teams, and other platform teams to drive automation initiatives that help us further provide platforms that drive our delivery. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team. Man Group runs a hybrid working model where we aim for this individual to be in the office 3 days per week. Role Responsibilities * Building and maintaining infrastructure automation platforms at scale that manage tens of thousands of cores and hundreds of terabytes of memory supporting our python-based quantitative research and trading systems. * Designing infrastructure-as-code and configuration management solutions using tools like Terraform and Ansible to provision and manage our on-premises resources. * Operating and optimising Kubernetes clusters running production workloads across multiple environments. * Creating self-service systems-centric platforms that empower hundreds of users across Man Group. * Working with diverse operating systems at scale, including Ubuntu and Windows Server environments. * Collaborating with business stakeholders in a fast-paced, dynamic environment where infrastructure directly impacts organisational outcomes. Key Competencies Essential * 3+ years of hands-on experience with configuration management and infrastructure-as-code tools such as Ansible, Terraform, Chef, Puppet, or Salt. * Proven experience deploying, managing, and troubleshooting Kubernetes clusters in production environments. * Strong understanding of observability and monitoring practices, including experience with tools such as Prometheus, Grafana, or similar platforms. * Demonstrated ability to work confidently across both Unix based systems (Ubuntu, RHEL, or similar distributions) and Windows environments. * Experience with scripting and automation using languages such as Python, Powershell, Bash, or Go. * Understanding of CI/CD principles and experience with tools like Jenkins or Github Actions. * Solid grasp of networking fundamentals, security best practices, and infrastructure architecture patterns. * Ability to participate in a 24/7 on-call rotation. * Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow. Advantageous * Experience with container technologies beyond Kubernetes (Docker, container, etc). * Knowledge of GitOps workflows and tools such as ArgoCD or Flux. * Experience with security and secrets management practices using Hashi Corp Vault. * Understanding of storage systems and how they integrate with modern systems architecture. * Experience in financial services or other highly regulated industries. * Self-organised with the ability to prioritise and effectively manage time across multiple projects. * Excellent communication and problem-solving skills with the ability to explain complex technical concepts to diverse audiences. * Contributions to open-source projects or active participation in technical communities is a plus. Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.