LoopMe
About LoopMe LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable - and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2-5x better performance than industry benchmarks, at scale. We operate a high-load programmatic infrastructure - processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant. The opportunity You own LoopMe's AI throttling system and lead AI products across the business - a senior role combining technical ownership, product ownership, and commercial partnership. You lead a team of four within LoopMe's 17-person Data Science organisation, working directly with commercial, operations, product, and engineering teams and reporting measurable impact to the SLT. The wider Data Science team - led by Chief Data Scientist Dr Leonard Newnham - operates as a single team across London, Poland, and Ukraine, with a track record of publishing award-winning research in automated bidding. This role reports to the Chief Data Scientist. What you'll do Own LoopMe's AI throttling system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner with commercial teams and clients to understand their needs and coordinate releases with technical and non-technical stakeholders. Partner with operations teams to embed AI products safely and measurably into day-to-day business processes. Establish clear, evidence-led reporting on progress, risks and measurable commercial impact for senior leadership. Develop practical business recommendations by turning ambiguous commercial problems into testable data science questions. Manage technical quality by reviewing model logic, system design and code where needed. What you'll bring Essential Strong commercial experience in data science, machine learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact Experience leading, coaching or managing data scientists, ML engineers or closely related technical teams. Deep understanding of experimentation, causal measurement, model monitoring and the practical realities of production ML Strong Python, SQL and data engineering literacy, with the ability to go deep technically when required. Nice to have Experience with adtech, real-time bidding, DSPs, SSPs, throttling, pacing or auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What we can offer Bonus Hybrid working; meaning you'll spend 3 days a week in our Farringdon office 25 days annual leave, plus the Bank Holidays 1 month work-from-anywhere Annual Wellness Day Health Shield; a cash-back health plan for things like dental, optical, physio and wellbeing Access to Thrive; accessible mental health support all in one app Cycle to work scheme Pension LoopMe Gives Back Day Learning & development support, including internal mobility and bi-annual promotion cycles To apply LoopMe does not accept speculative agency submissions. To apply, please use the button below.
About LoopMe LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable - and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2-5x better performance than industry benchmarks, at scale. We operate a high-load programmatic infrastructure - processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant. The opportunity You own LoopMe's AI throttling system and lead AI products across the business - a senior role combining technical ownership, product ownership, and commercial partnership. You lead a team of four within LoopMe's 17-person Data Science organisation, working directly with commercial, operations, product, and engineering teams and reporting measurable impact to the SLT. The wider Data Science team - led by Chief Data Scientist Dr Leonard Newnham - operates as a single team across London, Poland, and Ukraine, with a track record of publishing award-winning research in automated bidding. This role reports to the Chief Data Scientist. What you'll do Own LoopMe's AI throttling system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner with commercial teams and clients to understand their needs and coordinate releases with technical and non-technical stakeholders. Partner with operations teams to embed AI products safely and measurably into day-to-day business processes. Establish clear, evidence-led reporting on progress, risks and measurable commercial impact for senior leadership. Develop practical business recommendations by turning ambiguous commercial problems into testable data science questions. Manage technical quality by reviewing model logic, system design and code where needed. What you'll bring Essential Strong commercial experience in data science, machine learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact Experience leading, coaching or managing data scientists, ML engineers or closely related technical teams. Deep understanding of experimentation, causal measurement, model monitoring and the practical realities of production ML Strong Python, SQL and data engineering literacy, with the ability to go deep technically when required. Nice to have Experience with adtech, real-time bidding, DSPs, SSPs, throttling, pacing or auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What we can offer Bonus Hybrid working; meaning you'll spend 3 days a week in our Farringdon office 25 days annual leave, plus the Bank Holidays 1 month work-from-anywhere Annual Wellness Day Health Shield; a cash-back health plan for things like dental, optical, physio and wellbeing Access to Thrive; accessible mental health support all in one app Cycle to work scheme Pension LoopMe Gives Back Day Learning & development support, including internal mobility and bi-annual promotion cycles To apply LoopMe does not accept speculative agency submissions. To apply, please use the button below.
The London Metal Exchange Limited
Senior Network Security Specialist Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: D - Assistant Vice President Reporting Line: (UK Division) Information Technology Location: UK-London Worker Type: Permanent About the London Metal Exchange The London Metal Exchange (LME) is the world centre for industrial metals trading. Most of the world's global non-ferrous futures business is conducted on the LME's three trading platforms totalling $21 trillion, 191 million lots and 4 billion tonnes notional with a market open interest high of 2.1 million lots in 2025.The metals community uses the LME, an HKEX Group company, as a venue to transfer or take on price risk, as a physical market of last resort and as the provider of transparent global reference prices. Overall Purpose of Role As a Senior Network Security Specialist, you will design, implement and govern the network security controls that protect our modern, high performance enterprise network. You will take a hands on lead role in shaping the network security roadmap, defining policies and standards and driving the adoption of Zero Trust and micro segmentation across the organisation.Working within the Connectivity Engineering Team, you will collaborate closely with Information Security, Platform, Infrastructure and Application teams to ensure security is embedded by design. Your expertise will be applied across on premises, cloud, and containerised environments, ensuring consistent and robust protection across all connectivity layers. You will also support the organisation's LAN, WAN, Campus and Data Centre network services, ensuring reliability, resilience, and high performance. You will maintain and develop core network standards across related systems, coordinate network activities across multiple technology projects, contribute deep technical expertise and produce both high and low level designs. As a subject matter expert, you will also provide 3rd line escalation support when required.This role reports directly to the Network Manager and may include participation in an on call rota, as well as occasional evening and weekend work. TOIL or overtime compensation will be available. Responsibilities: Design, implement, and maintain enterprise network security controls including firewalls, proxies and secure access services aligned to business and regulatory requirements. Act as the technical authority for Fortinet, Palo Alto Networks and Zscaler platforms. Ensure security policies are consistently enforced across data centre, campus, cloud and hybrid environments. Lead complex troubleshooting of network security issues, balancing security, performance and availability. Own and define the network security roadmap, aligned with wider technology and security strategies. Design and evolve Zero Trust network architectures, including identity-aware access and least-privilege principles. Define and implement micro-segmentation strategies for traditional and containerised workloads. Provide design input into new initiatives (cloud adoption, Kubernetes/OpenShift, automation, AI platforms). Evaluate new security technologies and patterns, producing clear recommendations and design artefacts Develop and maintain network security standards, patterns and policy definitions. Ensure adherence to security policies through design reviews, operational controls and continuous improvement. Partner with Information Security to translate policy into enforceable technical controls. Support audits, risk assessments and regulatory obligations by providing clear evidence of control implementation. Act as a senior technical leader within the Network Team, mentoring engineers and setting best practice. Work closely with Infrastructure, Platform, and Application teams to embed security by design. Provide subject-matter expertise to project teams and senior stakeholders. Desired Academic and Professional Qualifications: The ideal candidate will have experience working within an ITIL governed environment and established infrastructure support frameworks. They will hold a bachelor's degree in Computer Science, Information Technology, or a related discipline, or possess an equivalent combination of education, technical training, and practical experience.Relevant industry certifications (e.g. PCNSE, NSE, CCNP Security, or CISSP) or substantial real world application are expected, while ITIL and/or PMI certification is considered an advantage. Required Knowledge and Level of Experience: Experience defining and implementing network segmentation and micro segmentation strategies. Strong understanding of Zero Trust networking principles and identity aware access controls. Strong experience designing, implementing and optimising firewall and proxy security policies. Deep hands-on experience with: + Palo Alto Networks (PAN OS, Panorama, policy design) + Fortinet (FortiGate, FortiManager, FortiAnalyzer) + Zscaler (ZIA, ZPA, Zero Trust Exchange) Experience securing hybrid environments spanning on prem, cloud, and containerised platforms. Exposure to security controls and design for Kubernetes/OpenShift. Experience with automation and infrastructure-as-code approaches for deploying security controls. Wide exposure to routing, switching, load balancing and security architectures, with extensive operational and engineering experience. Strong grounding in core networking technologies and protocols, including: + TCP/IP, BGP, OSPF, VLANs, VRF, VPN, VXLAN, NAT, ACLs, DNS. Hands on experience with packet capture and network analytics and monitoring tools. Strong understanding of ITILv3 processes, including incident, problem, and change management. Skills and Competencies: Ability to translate high level security policies into practical, scalable technical designs. Strong analytical and diagnostic skills for assessing complex network and security environments. Competence in designing and optimising security architectures, network policies and segmentation models. Ability to work across hybrid and distributed environments (on prem, cloud, container platforms). Strong capability to apply automation and IaC concepts to enhance security controls and operational efficiency. Ability to collaborate with cross-functional teams in highly regulated, high availability environments. Methodical, working approach aligned to ITILv3 best practices with and proven ability to implement processes. Willingness to challenge existing approaches and drive change. Comfortable working under pressure, with changing priorities. A strong delivery mindset, setting and achieving realistic and timely execution of project deliverables across the portfolio. Core Functional Responsibilities of an AVP: Day-to-day focus is on resolution of complex problems or transactions, where expertise is required to interpret against policies, guidelines or processes Role at this level usually has full ownership for one or more processes, reports, procedures or products, and may also be considered analytical or procedural experts representing a unit or team on cross-function process or project deliverables. Experience Criteria of an AVP: Roles at this level typically require an individual emerging as an expert in a specific skill set, business area or product who remains focused primarily on daily execution.Hong Kong Exchanges and Clearing Limited (HKEX) is a publicly-traded company (HKEX Stock Code:388) and one of the world's leading global exchange groups, offering a range of equity, derivative, commodity, fixed income and other financial markets, products and services, including the London Metals Exchange.As a superconnector and gateway between East and West, HKEX facilitates the two-way flow of capital, ideas and dialogue between China and the rest of world, through
Senior Network Security Specialist Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: D - Assistant Vice President Reporting Line: (UK Division) Information Technology Location: UK-London Worker Type: Permanent About the London Metal Exchange The London Metal Exchange (LME) is the world centre for industrial metals trading. Most of the world's global non-ferrous futures business is conducted on the LME's three trading platforms totalling $21 trillion, 191 million lots and 4 billion tonnes notional with a market open interest high of 2.1 million lots in 2025.The metals community uses the LME, an HKEX Group company, as a venue to transfer or take on price risk, as a physical market of last resort and as the provider of transparent global reference prices. Overall Purpose of Role As a Senior Network Security Specialist, you will design, implement and govern the network security controls that protect our modern, high performance enterprise network. You will take a hands on lead role in shaping the network security roadmap, defining policies and standards and driving the adoption of Zero Trust and micro segmentation across the organisation.Working within the Connectivity Engineering Team, you will collaborate closely with Information Security, Platform, Infrastructure and Application teams to ensure security is embedded by design. Your expertise will be applied across on premises, cloud, and containerised environments, ensuring consistent and robust protection across all connectivity layers. You will also support the organisation's LAN, WAN, Campus and Data Centre network services, ensuring reliability, resilience, and high performance. You will maintain and develop core network standards across related systems, coordinate network activities across multiple technology projects, contribute deep technical expertise and produce both high and low level designs. As a subject matter expert, you will also provide 3rd line escalation support when required.This role reports directly to the Network Manager and may include participation in an on call rota, as well as occasional evening and weekend work. TOIL or overtime compensation will be available. Responsibilities: Design, implement, and maintain enterprise network security controls including firewalls, proxies and secure access services aligned to business and regulatory requirements. Act as the technical authority for Fortinet, Palo Alto Networks and Zscaler platforms. Ensure security policies are consistently enforced across data centre, campus, cloud and hybrid environments. Lead complex troubleshooting of network security issues, balancing security, performance and availability. Own and define the network security roadmap, aligned with wider technology and security strategies. Design and evolve Zero Trust network architectures, including identity-aware access and least-privilege principles. Define and implement micro-segmentation strategies for traditional and containerised workloads. Provide design input into new initiatives (cloud adoption, Kubernetes/OpenShift, automation, AI platforms). Evaluate new security technologies and patterns, producing clear recommendations and design artefacts Develop and maintain network security standards, patterns and policy definitions. Ensure adherence to security policies through design reviews, operational controls and continuous improvement. Partner with Information Security to translate policy into enforceable technical controls. Support audits, risk assessments and regulatory obligations by providing clear evidence of control implementation. Act as a senior technical leader within the Network Team, mentoring engineers and setting best practice. Work closely with Infrastructure, Platform, and Application teams to embed security by design. Provide subject-matter expertise to project teams and senior stakeholders. Desired Academic and Professional Qualifications: The ideal candidate will have experience working within an ITIL governed environment and established infrastructure support frameworks. They will hold a bachelor's degree in Computer Science, Information Technology, or a related discipline, or possess an equivalent combination of education, technical training, and practical experience.Relevant industry certifications (e.g. PCNSE, NSE, CCNP Security, or CISSP) or substantial real world application are expected, while ITIL and/or PMI certification is considered an advantage. Required Knowledge and Level of Experience: Experience defining and implementing network segmentation and micro segmentation strategies. Strong understanding of Zero Trust networking principles and identity aware access controls. Strong experience designing, implementing and optimising firewall and proxy security policies. Deep hands-on experience with: + Palo Alto Networks (PAN OS, Panorama, policy design) + Fortinet (FortiGate, FortiManager, FortiAnalyzer) + Zscaler (ZIA, ZPA, Zero Trust Exchange) Experience securing hybrid environments spanning on prem, cloud, and containerised platforms. Exposure to security controls and design for Kubernetes/OpenShift. Experience with automation and infrastructure-as-code approaches for deploying security controls. Wide exposure to routing, switching, load balancing and security architectures, with extensive operational and engineering experience. Strong grounding in core networking technologies and protocols, including: + TCP/IP, BGP, OSPF, VLANs, VRF, VPN, VXLAN, NAT, ACLs, DNS. Hands on experience with packet capture and network analytics and monitoring tools. Strong understanding of ITILv3 processes, including incident, problem, and change management. Skills and Competencies: Ability to translate high level security policies into practical, scalable technical designs. Strong analytical and diagnostic skills for assessing complex network and security environments. Competence in designing and optimising security architectures, network policies and segmentation models. Ability to work across hybrid and distributed environments (on prem, cloud, container platforms). Strong capability to apply automation and IaC concepts to enhance security controls and operational efficiency. Ability to collaborate with cross-functional teams in highly regulated, high availability environments. Methodical, working approach aligned to ITILv3 best practices with and proven ability to implement processes. Willingness to challenge existing approaches and drive change. Comfortable working under pressure, with changing priorities. A strong delivery mindset, setting and achieving realistic and timely execution of project deliverables across the portfolio. Core Functional Responsibilities of an AVP: Day-to-day focus is on resolution of complex problems or transactions, where expertise is required to interpret against policies, guidelines or processes Role at this level usually has full ownership for one or more processes, reports, procedures or products, and may also be considered analytical or procedural experts representing a unit or team on cross-function process or project deliverables. Experience Criteria of an AVP: Roles at this level typically require an individual emerging as an expert in a specific skill set, business area or product who remains focused primarily on daily execution.Hong Kong Exchanges and Clearing Limited (HKEX) is a publicly-traded company (HKEX Stock Code:388) and one of the world's leading global exchange groups, offering a range of equity, derivative, commodity, fixed income and other financial markets, products and services, including the London Metals Exchange.As a superconnector and gateway between East and West, HKEX facilitates the two-way flow of capital, ideas and dialogue between China and the rest of world, through
