LoopMe Limited
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.
LoopMe Limited
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.
Tekever Corporation
Swindon, Wiltshire
Are you ready to revolutionise the world with TEKEVER? At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting edge advancements meet unparalleled innovation. Digital Defence Security Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges - from protecting people and critical infrastructure to exploring space. We offer a unique surveillance as a service solution that delivers real time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments - whether at sea, on land, in space, or in cyberspace. Become part of a dynamic, multidisciplinary, and mission driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission oriented game changers, delivering the right information at the right time to empower critical decision making. If you're passionate about technology and eager to shape the future - TEKEVER is the place for you. About Tekever Tekever is the European leader in AI driven Unmanned Aerial Systems (UAS), delivering autonomous platforms - including the AR3, AR3 EVO and AR5 - to defence, security and government customers across the UK, Europe and allied nations. Our systems have logged over 10,000 operational flight hours in Ukraine and form the aerial platform for the Royal Air Force's StormShroud programme. Through our five year, £400m OVERMATCH investment programme, Tekever is building the UK's largest drone production capability - including a new 254,000 sq ft facility in Swindon - and creating more than 1,000 highly skilled British jobs. We are a vertically integrated business spanning aerospace structures, propulsion, optical and RF payloads, avionics, communications, software and AI. The Role The Integration Manager is a build it from scratch role. You will stand up the integration and test cell at our new Swindon facility - designing the layout, specifying the equipment, defining the processes, recruiting the team, and bringing the cell from empty floor space to serial delivery of flight ready AR3, AR3 EVO and AR5 platforms. Integration is where the factory comes together. The airframe, electronics, propulsion, payloads and comms hardware all converge in your cell. You will own the system level build, the functional and acceptance test, the calibration and alignment of payloads, and the configuration record that goes to the customer. You will be the last set of hands and eyes on every aircraft that leaves the Swindon site. In parallel, you will work hand in glove with Manufacturing Engineering, Product Engineering and the Tekever Portugal manufacturing organisation to industrialise the AR3, AR3 EVO and AR5 platforms in the UK - turning today's prototype stage and low rate production integration into robust, repeatable, high yield builds at the volumes the OVERMATCH programme demands. This is a hands on leadership role. You will spend your time on the shop floor as much as at a desk - building a team from the ground up, coaching technicians and team leaders, removing blockers, driving yield, and working shoulder to shoulder with Engineering, Quality, Supply Chain and the customer. Key Responsibilities Cell setup and build Lead the design, build and commissioning of the integration and test cell at the Swindon site - layout, flow, workstations, test bays, payload alignment areas, ESD protected zones, storage and material presentation. Specify, source and commission the equipment, tooling, fixtures, test rigs and ground support equipment needed to deliver the build at target volumes; partner with Manufacturing Engineering, Facilities and Supply Chain on capex selection and installation. Capex spend is approved by the Director of Industrial Operations. Define and document the operating processes, standard work, work instructions, test procedures and quality plans for the cell. Plan the production ramp from first article through low rate to serial production, in line with the OVERMATCH programme milestones. Team build and leadership Recruit, build and lead the integration and test team from the ground up - integration technicians, test engineers, team leaders and support staff - scaling in line with the production ramp. Define the team structure, role profiles, shift pattern and skills matrix; identify training needs and run the training plan with HR and Manufacturing Engineering. Onboard new team members effectively in a brand new environment; set clear performance expectations and manage performance. Build a culture of safety, ownership, craftsmanship and continuous improvement on the floor from day one. Product development and industrialisation Work closely with Manufacturing Engineering and Product Engineering to industrialise the AR3, AR3 EVO and AR5 platforms in the UK - bringing system integration and acceptance test from prototype and low rate production into volume manufacture. Partner with the Tekever Portugal manufacturing organisation to transfer proven AR3 and AR5 integration, test, calibration and acceptance processes into the Swindon cell; build the working relationships needed to keep that bridge live as both sites evolve. Lead the production readiness assessment for each new build or variant: tooling, fixtures, test equipment, work instructions, training and capacity. Provide structured production feedback into design - Design for Manufacture, Design for Test, Design for Assembly - to drive out cost, complexity and yield risk. Support engineering changes, retrofits and configuration management through the life of each platform. Integration, test and acceptance delivery Once the cell is operational, own the daily, weekly and monthly output of flight ready platforms against the production plan; deliver to schedule, to quality and to cost. Own end to end system integration: mechanical mating of airframe, electronics, propulsion and payloads; harness routing and termination; bonding and grounding; torque controlled assembly. Own functional, environmental and acceptance test execution; ensure test results, calibration data and as built records are captured accurately against every airframe's configuration baseline. Host customer representatives on site for Factory Acceptance Tests and final aircraft acceptance; represent Tekever credibly with UK MoD, Home Office and allied customer teams. Run a structured shift / day start routine with clear KPIs: safety, quality, delivery, cost, people. Identify, escalate and resolve constraints in real time; work with Manufacturing Engineering, Supply Chain and the upstream cells (electronics, structures) to keep aircraft flowing through final integration. Quality, configuration and process control Ensure all integration and test activity is delivered within the AS9100 quality system and against applicable customer specifications. Own torque control, bonding/grounding control, ESD control, calibration control, process control plans, work instructions and standard work for the area; ensure they are followed and kept current. Own the integrity of the as built record and configuration baseline for every aircraft leaving the cell. Partner with Quality on root cause analysis, corrective and preventive action, first article inspection and non conformance management. Drive measurable improvements in first pass yield, test re run rate, rework and defect rates. Continuous improvement Own and drive the lean operating system in the integration and test area: 5S, standard work, visual management, Kaizen, problem solving routines. Lead structured improvement projects that deliver measurable gains in safety, quality, throughput, lead time and cost. Champion data driven decision making using shop floor data, MES outputs, test data and quality data. Health, safety and compliance Hold ultimate accountability for the safety of every person working in the integration and test area. Ensure full compliance with UK health and safety legislation, COSHH, ESD control, battery handling, lifting operations and Tekever site procedures. Ensure full compliance with the security and export control requirements applicable to defence systems integration, including any customer or programme specific handling instructions when customer representatives are on site. What You'll Bring Essential Significant experience leading system integration and test teams in a regulated, engineered product environment - aerospace, defence, automotive, complex electronics or similar. Demonstrable track record of standing up a new integration or final assembly cell, line or facility - not just running an established one. This includes layout, equipment selection, process definition and ramp to volume. Hands on experience of industrialising new products into volume production in close partnership with Engineering, including DFM / DFT / DFA feedback loops. Strong working knowledge of mechanical and electrical integration, harness routing and termination, torque controlled assembly . click apply for full job details
Are you ready to revolutionise the world with TEKEVER? At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting edge advancements meet unparalleled innovation. Digital Defence Security Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges - from protecting people and critical infrastructure to exploring space. We offer a unique surveillance as a service solution that delivers real time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments - whether at sea, on land, in space, or in cyberspace. Become part of a dynamic, multidisciplinary, and mission driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission oriented game changers, delivering the right information at the right time to empower critical decision making. If you're passionate about technology and eager to shape the future - TEKEVER is the place for you. About Tekever Tekever is the European leader in AI driven Unmanned Aerial Systems (UAS), delivering autonomous platforms - including the AR3, AR3 EVO and AR5 - to defence, security and government customers across the UK, Europe and allied nations. Our systems have logged over 10,000 operational flight hours in Ukraine and form the aerial platform for the Royal Air Force's StormShroud programme. Through our five year, £400m OVERMATCH investment programme, Tekever is building the UK's largest drone production capability - including a new 254,000 sq ft facility in Swindon - and creating more than 1,000 highly skilled British jobs. We are a vertically integrated business spanning aerospace structures, propulsion, optical and RF payloads, avionics, communications, software and AI. The Role The Integration Manager is a build it from scratch role. You will stand up the integration and test cell at our new Swindon facility - designing the layout, specifying the equipment, defining the processes, recruiting the team, and bringing the cell from empty floor space to serial delivery of flight ready AR3, AR3 EVO and AR5 platforms. Integration is where the factory comes together. The airframe, electronics, propulsion, payloads and comms hardware all converge in your cell. You will own the system level build, the functional and acceptance test, the calibration and alignment of payloads, and the configuration record that goes to the customer. You will be the last set of hands and eyes on every aircraft that leaves the Swindon site. In parallel, you will work hand in glove with Manufacturing Engineering, Product Engineering and the Tekever Portugal manufacturing organisation to industrialise the AR3, AR3 EVO and AR5 platforms in the UK - turning today's prototype stage and low rate production integration into robust, repeatable, high yield builds at the volumes the OVERMATCH programme demands. This is a hands on leadership role. You will spend your time on the shop floor as much as at a desk - building a team from the ground up, coaching technicians and team leaders, removing blockers, driving yield, and working shoulder to shoulder with Engineering, Quality, Supply Chain and the customer. Key Responsibilities Cell setup and build Lead the design, build and commissioning of the integration and test cell at the Swindon site - layout, flow, workstations, test bays, payload alignment areas, ESD protected zones, storage and material presentation. Specify, source and commission the equipment, tooling, fixtures, test rigs and ground support equipment needed to deliver the build at target volumes; partner with Manufacturing Engineering, Facilities and Supply Chain on capex selection and installation. Capex spend is approved by the Director of Industrial Operations. Define and document the operating processes, standard work, work instructions, test procedures and quality plans for the cell. Plan the production ramp from first article through low rate to serial production, in line with the OVERMATCH programme milestones. Team build and leadership Recruit, build and lead the integration and test team from the ground up - integration technicians, test engineers, team leaders and support staff - scaling in line with the production ramp. Define the team structure, role profiles, shift pattern and skills matrix; identify training needs and run the training plan with HR and Manufacturing Engineering. Onboard new team members effectively in a brand new environment; set clear performance expectations and manage performance. Build a culture of safety, ownership, craftsmanship and continuous improvement on the floor from day one. Product development and industrialisation Work closely with Manufacturing Engineering and Product Engineering to industrialise the AR3, AR3 EVO and AR5 platforms in the UK - bringing system integration and acceptance test from prototype and low rate production into volume manufacture. Partner with the Tekever Portugal manufacturing organisation to transfer proven AR3 and AR5 integration, test, calibration and acceptance processes into the Swindon cell; build the working relationships needed to keep that bridge live as both sites evolve. Lead the production readiness assessment for each new build or variant: tooling, fixtures, test equipment, work instructions, training and capacity. Provide structured production feedback into design - Design for Manufacture, Design for Test, Design for Assembly - to drive out cost, complexity and yield risk. Support engineering changes, retrofits and configuration management through the life of each platform. Integration, test and acceptance delivery Once the cell is operational, own the daily, weekly and monthly output of flight ready platforms against the production plan; deliver to schedule, to quality and to cost. Own end to end system integration: mechanical mating of airframe, electronics, propulsion and payloads; harness routing and termination; bonding and grounding; torque controlled assembly. Own functional, environmental and acceptance test execution; ensure test results, calibration data and as built records are captured accurately against every airframe's configuration baseline. Host customer representatives on site for Factory Acceptance Tests and final aircraft acceptance; represent Tekever credibly with UK MoD, Home Office and allied customer teams. Run a structured shift / day start routine with clear KPIs: safety, quality, delivery, cost, people. Identify, escalate and resolve constraints in real time; work with Manufacturing Engineering, Supply Chain and the upstream cells (electronics, structures) to keep aircraft flowing through final integration. Quality, configuration and process control Ensure all integration and test activity is delivered within the AS9100 quality system and against applicable customer specifications. Own torque control, bonding/grounding control, ESD control, calibration control, process control plans, work instructions and standard work for the area; ensure they are followed and kept current. Own the integrity of the as built record and configuration baseline for every aircraft leaving the cell. Partner with Quality on root cause analysis, corrective and preventive action, first article inspection and non conformance management. Drive measurable improvements in first pass yield, test re run rate, rework and defect rates. Continuous improvement Own and drive the lean operating system in the integration and test area: 5S, standard work, visual management, Kaizen, problem solving routines. Lead structured improvement projects that deliver measurable gains in safety, quality, throughput, lead time and cost. Champion data driven decision making using shop floor data, MES outputs, test data and quality data. Health, safety and compliance Hold ultimate accountability for the safety of every person working in the integration and test area. Ensure full compliance with UK health and safety legislation, COSHH, ESD control, battery handling, lifting operations and Tekever site procedures. Ensure full compliance with the security and export control requirements applicable to defence systems integration, including any customer or programme specific handling instructions when customer representatives are on site. What You'll Bring Essential Significant experience leading system integration and test teams in a regulated, engineered product environment - aerospace, defence, automotive, complex electronics or similar. Demonstrable track record of standing up a new integration or final assembly cell, line or facility - not just running an established one. This includes layout, equipment selection, process definition and ramp to volume. Hands on experience of industrialising new products into volume production in close partnership with Engineering, including DFM / DFT / DFA feedback loops. Strong working knowledge of mechanical and electrical integration, harness routing and termination, torque controlled assembly . click apply for full job details
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.