Before making an application, please browse all graduate opportunities available as we will only accept one application per candidate. Once you have made an application you will not be able to make changes to your selection or make a new application. The exception is if we open new vacancies in the new year. To avoid missing out on your preferred opportunity, we also recommend that you apply as soon as possible as we will close when the position has been filled. Turn your ambition into action-apply now and shape your future with us. Job Description Are you ready to launch your engineering career in a place where your ideas matter, your growth is championed, and your work truly makes a difference? Join our collaborative team as a Graduate Civil Engineer and help us design and deliver projects that improve lives, strengthen communities, and create a more sustainable world. What We Value: Diversity & Inclusion: We believe diverse perspectives drive better solutions. We welcome and celebrate people from all backgrounds, cultures, and experiences. Integrity & Trust: We act with honesty, transparency, and respect - always doing what's right for our people, our clients, and society. Wellbeing & Support: Your wellbeing matters. We foster a caring environment with flexible working, mental health support, and a culture of kindness. Teamwork & Achievement: We succeed together. Your contributions will be recognised, and your successes celebrated as part of our shared journey. As part of your application, we will ask you to select your preferred opportunity based on the sector and location. Some of our opportunities will require you to be eligible to achieve security clearance, this is shown in the selection choices. Security clearance is dictated by the types of projects we work on and normally requires you to be a UK British national or have lived in the UK for five years or more. Below you'll find more information on what work you could do within each area. Ports and Maritime - Croydon, Glasgow, Liverpool, Newcastle Join our Ports and Maritime team and help deliver the infrastructure that underpins global trade and the transition to cleaner energy. As a graduate engineer, you'll apply your strong structural and analytical skills to the design and planning of major port and marine projects, tackling complex technical challenges and developing solutions that will shape the sector for decades to come. You'll work alongside industry leaders on some of the UK's and world's largest ports, from container terminals to offshore renewables ports and fuel terminals, where hard work and determination are essential. We're looking for graduates who are genuinely passionate about heavy infrastructure, thrive on technical problem-solving, and are committed to building a career in ports and maritime, not those seeking a generic engineering role. Bridges and Civil Structures - Altrincham, Birmingham, Croydon, Edinburgh, Glasgow, Leeds, Manchester, Sheffield, Southampton Join our Bridges and Civil Structures teams and be part of a dynamic environment where innovation meets impact. As a graduate engineer, you'll contribute to projects spanning the full spectrum of bridge engineering-from the sustainable design of new structures to the application of emerging technologies and advanced structural analysis. Our work ranges from unique, small-scale commissions to some of the largest and most complex infrastructure projects in the UK and around the world. If you're ready to apply your skills, learn from industry leaders, and help shape the future of infrastructure, we want to hear from you. Special Services - Birmingham, Croydon, Sheffield The Special Services Team at Mott MacDonald are a specialised team which works cross-sector, on a wide range of projects covering design, forensic analysis, first-principles problem-solving and asset life extension. We are at the forefront of developing advanced structural analysis and dynamics solutions, addressing materials technology requirements, advancing asset life management for a wide range of civil infrastructure, undertaking specialist studies for a diverse range of clients. Tunnels - Birmingham, Croydon, Reading As a graduate joining the tunnels account, you can expect to be part of a friendly and supportive department that values your development and growth. You'll gain exposure to a wide variety of tunnelling projects across sectors such as transport, energy, and water, while also having opportunities to contribute to non-tunnelling projects across the wider company. While you'll gain strong technical experience as part of your core role, you will also have the opportunity to broaden your skill set through involvement in project and design management, giving you exposure to the wider lifecycle of high-profile infrastructure projects. You'll be supported on your journey towards chartership, with training actively encouraged and access to CPD activities and industry conferences. Notably, you'll have the opportunity to attend the prestigious week-long Tunnelling Course at the University of Warwick and the two-day Health and Safety course, both hosted by the British Tunnelling Society. Throughout your time, you'll be working alongside a highly knowledgeable and experienced team, gaining invaluable insight and mentorship as you build your career. Rail Civil Structures - Belfast, Manchester, Sheffield, York The Railway Stations and Civil Engineering team leads multidisciplinary railway enhancement and renewals projects. You'll gain design experience with geotechnical, geometrical, and structural design, and work closely with experts in highways, drainage, geotechnics, and other disciplines. You'll support project and design management, help co-ordinate the design process, and produce technical drawings and 3D models. You'll engage with contractors and team members across the UK. This holistic experience will help you quickly develop core technical, commercial, and collaborative skills essential for civil engineering in the rail sector and support your Initial Professional Development on the Institution of Civil Engineers' accredited training scheme. Highways - Edinburgh, Glasgow, London, Norwich Our Highways team excels in delivering comprehensive services throughout the entire project life cycle. From the initial planning and design of new roads to the implementation and maintenance of highway networks, our focus is on innovation, cost certainty, and added value. We achieve this through collaborative efforts with our clients and a strong commitment to continuous improvement. Graduates who join our division will participate in the Division's Early Careers Professionals Rotation Programme. This program provides hands-on experience across various disciplines within highway design. They will contribute to major highway projects for our key clients, engaging in the production of 3D modelling, design calculations, and specifications. Additionally, they will support project delivery by assisting senior engineers and project managers with documentation, deliverables tracking, and stakeholder coordination. Asset Management - Birmingham, Bristol, Croydon, Glasgow, London, Southampton (Need to be eligible for Security Clearance) The Asset Management, Maintenance and Advisory Portfolio provide a range of design and advisory services to clients across the transport sector. Our team includes specialists in drainage and flood risk, pavement engineering, street lighting, road safety and road signage and markings. We provide design inputs into a variety of highway and airfield projects as well as providing advice on how clients maintain and manage their transport assets. You will also have opportunities to contribute to the continued digitalisation of our sector and our sustainability advisory services, through activities like developing and implementing machine learning tools and providing carbon reduction advice on projects. As a Graduate Civil Engineer specialising in drainage, you will familiarise yourself with relevant national and client standards, garner an understanding of the principles of drainage design, such as: defining catchment areas, assessing pipe capacity and analysing hydraulic model results; as well as producing deliverables such as: 3D models, drawings, schedules and specifications. You will coordinate your designs across multidisciplinary teams and collaborate with clients and stakeholders. Local Streets - Birmingham, Cambridge, Croydon, Edinburgh, Leeds, Liverpool, London, Manchester, Norwich, Southampton (Need to be eligible for Security Clearance) In the local streets and infrastructure portfolio you will have the opportunity to contribute to a wide range of impactful projects that directly benefit the local and national community. These projects range from local junction improvements to facilitate access to solar farms to large scale infrastructure projects such as East West Rail, Heathrow Expansion and HS2. We focus on projects that enhance safety, accessibility, sustainability, and efficiency in urban and rural environments. We are also passionate about incorporating nature based solutions into our designs to help mitigate the flood risk and protect local ecosystems. The design of Active travel infrastructure, such as cycle lanes, footpaths, and pedestrian zones, promoting healthier and greener transport options is also a key focus area. . click apply for full job details
Nov 02, 2025
Full time
Before making an application, please browse all graduate opportunities available as we will only accept one application per candidate. Once you have made an application you will not be able to make changes to your selection or make a new application. The exception is if we open new vacancies in the new year. To avoid missing out on your preferred opportunity, we also recommend that you apply as soon as possible as we will close when the position has been filled. Turn your ambition into action-apply now and shape your future with us. Job Description Are you ready to launch your engineering career in a place where your ideas matter, your growth is championed, and your work truly makes a difference? Join our collaborative team as a Graduate Civil Engineer and help us design and deliver projects that improve lives, strengthen communities, and create a more sustainable world. What We Value: Diversity & Inclusion: We believe diverse perspectives drive better solutions. We welcome and celebrate people from all backgrounds, cultures, and experiences. Integrity & Trust: We act with honesty, transparency, and respect - always doing what's right for our people, our clients, and society. Wellbeing & Support: Your wellbeing matters. We foster a caring environment with flexible working, mental health support, and a culture of kindness. Teamwork & Achievement: We succeed together. Your contributions will be recognised, and your successes celebrated as part of our shared journey. As part of your application, we will ask you to select your preferred opportunity based on the sector and location. Some of our opportunities will require you to be eligible to achieve security clearance, this is shown in the selection choices. Security clearance is dictated by the types of projects we work on and normally requires you to be a UK British national or have lived in the UK for five years or more. Below you'll find more information on what work you could do within each area. Ports and Maritime - Croydon, Glasgow, Liverpool, Newcastle Join our Ports and Maritime team and help deliver the infrastructure that underpins global trade and the transition to cleaner energy. As a graduate engineer, you'll apply your strong structural and analytical skills to the design and planning of major port and marine projects, tackling complex technical challenges and developing solutions that will shape the sector for decades to come. You'll work alongside industry leaders on some of the UK's and world's largest ports, from container terminals to offshore renewables ports and fuel terminals, where hard work and determination are essential. We're looking for graduates who are genuinely passionate about heavy infrastructure, thrive on technical problem-solving, and are committed to building a career in ports and maritime, not those seeking a generic engineering role. Bridges and Civil Structures - Altrincham, Birmingham, Croydon, Edinburgh, Glasgow, Leeds, Manchester, Sheffield, Southampton Join our Bridges and Civil Structures teams and be part of a dynamic environment where innovation meets impact. As a graduate engineer, you'll contribute to projects spanning the full spectrum of bridge engineering-from the sustainable design of new structures to the application of emerging technologies and advanced structural analysis. Our work ranges from unique, small-scale commissions to some of the largest and most complex infrastructure projects in the UK and around the world. If you're ready to apply your skills, learn from industry leaders, and help shape the future of infrastructure, we want to hear from you. Special Services - Birmingham, Croydon, Sheffield The Special Services Team at Mott MacDonald are a specialised team which works cross-sector, on a wide range of projects covering design, forensic analysis, first-principles problem-solving and asset life extension. We are at the forefront of developing advanced structural analysis and dynamics solutions, addressing materials technology requirements, advancing asset life management for a wide range of civil infrastructure, undertaking specialist studies for a diverse range of clients. Tunnels - Birmingham, Croydon, Reading As a graduate joining the tunnels account, you can expect to be part of a friendly and supportive department that values your development and growth. You'll gain exposure to a wide variety of tunnelling projects across sectors such as transport, energy, and water, while also having opportunities to contribute to non-tunnelling projects across the wider company. While you'll gain strong technical experience as part of your core role, you will also have the opportunity to broaden your skill set through involvement in project and design management, giving you exposure to the wider lifecycle of high-profile infrastructure projects. You'll be supported on your journey towards chartership, with training actively encouraged and access to CPD activities and industry conferences. Notably, you'll have the opportunity to attend the prestigious week-long Tunnelling Course at the University of Warwick and the two-day Health and Safety course, both hosted by the British Tunnelling Society. Throughout your time, you'll be working alongside a highly knowledgeable and experienced team, gaining invaluable insight and mentorship as you build your career. Rail Civil Structures - Belfast, Manchester, Sheffield, York The Railway Stations and Civil Engineering team leads multidisciplinary railway enhancement and renewals projects. You'll gain design experience with geotechnical, geometrical, and structural design, and work closely with experts in highways, drainage, geotechnics, and other disciplines. You'll support project and design management, help co-ordinate the design process, and produce technical drawings and 3D models. You'll engage with contractors and team members across the UK. This holistic experience will help you quickly develop core technical, commercial, and collaborative skills essential for civil engineering in the rail sector and support your Initial Professional Development on the Institution of Civil Engineers' accredited training scheme. Highways - Edinburgh, Glasgow, London, Norwich Our Highways team excels in delivering comprehensive services throughout the entire project life cycle. From the initial planning and design of new roads to the implementation and maintenance of highway networks, our focus is on innovation, cost certainty, and added value. We achieve this through collaborative efforts with our clients and a strong commitment to continuous improvement. Graduates who join our division will participate in the Division's Early Careers Professionals Rotation Programme. This program provides hands-on experience across various disciplines within highway design. They will contribute to major highway projects for our key clients, engaging in the production of 3D modelling, design calculations, and specifications. Additionally, they will support project delivery by assisting senior engineers and project managers with documentation, deliverables tracking, and stakeholder coordination. Asset Management - Birmingham, Bristol, Croydon, Glasgow, London, Southampton (Need to be eligible for Security Clearance) The Asset Management, Maintenance and Advisory Portfolio provide a range of design and advisory services to clients across the transport sector. Our team includes specialists in drainage and flood risk, pavement engineering, street lighting, road safety and road signage and markings. We provide design inputs into a variety of highway and airfield projects as well as providing advice on how clients maintain and manage their transport assets. You will also have opportunities to contribute to the continued digitalisation of our sector and our sustainability advisory services, through activities like developing and implementing machine learning tools and providing carbon reduction advice on projects. As a Graduate Civil Engineer specialising in drainage, you will familiarise yourself with relevant national and client standards, garner an understanding of the principles of drainage design, such as: defining catchment areas, assessing pipe capacity and analysing hydraulic model results; as well as producing deliverables such as: 3D models, drawings, schedules and specifications. You will coordinate your designs across multidisciplinary teams and collaborate with clients and stakeholders. Local Streets - Birmingham, Cambridge, Croydon, Edinburgh, Leeds, Liverpool, London, Manchester, Norwich, Southampton (Need to be eligible for Security Clearance) In the local streets and infrastructure portfolio you will have the opportunity to contribute to a wide range of impactful projects that directly benefit the local and national community. These projects range from local junction improvements to facilitate access to solar farms to large scale infrastructure projects such as East West Rail, Heathrow Expansion and HS2. We focus on projects that enhance safety, accessibility, sustainability, and efficiency in urban and rural environments. We are also passionate about incorporating nature based solutions into our designs to help mitigate the flood risk and protect local ecosystems. The design of Active travel infrastructure, such as cycle lanes, footpaths, and pedestrian zones, promoting healthier and greener transport options is also a key focus area. . click apply for full job details
This role is not eligible for UK Visa Sponsorship - the successful applicant will need to have a pre-existing Right to Work in the UK in order to be offered an employment contract Deputy Yard and Store Manager Do you have experience working in a workshop environment within the agricultural, construction or farming sectors? Are you looking to move into a leadership / management role? Could this excellent opportunity be of interest to you? Location of the Job: Hertfordshire. Salary and Benefits Package: Highly competitive rate of pay depending on experience. 20 days holiday plus bank holidays. Employee Assist Programme. Overtime available during busy periods at standard rate. Free parking onsite. Company events such as Christmas party and harvest BBQ. Medicash Health Scheme. Additional holiday for length of service. Staff discounts. Additional information: This is a permanent full-time position. Working hours are 7.30am to 5pm. About The Company: A leading provider of services for the agricultural, construction and horticultural sectors. The Job Role Details: This is a hands-on leadership development role. You will work directly under the General Manager, assisting in the daily running of our yard and stores - which serve both agricultural and construction activities. Over time, and with structured support, you will take on increasing responsibility and eventually lead these areas independently. You'll be responsible for managing inventory and logistics, maintaining a safe and efficient site, and learning broader operational leadership skills. Key Responsibilities Support the General Manager in overseeing all yard and store operations. Help manage deliveries, collections, stock control, and ordering. Assist in loading and unloading of lorries. Operate a telescopic handler confidently and safely (experience required). Maintain high standards of site organisation, safety, and cleanliness. Assist with equipment and machinery maintenance. Contribute to continuous improvement of site processes, layout and tidiness. Liaise with other departments to support operational coordination. Gradually take on more leadership responsibility across the yard and stores. Structured Management Training on offer. Ideal Person Skills & Qualifications Knowledge of yard equipment maintenance and logistics planning. Familiarity with compliance standards or certifications (e.g., ISO, COSHH). Strong experience in agricultural or construction environments. Proficient with a telescopic handler (essential). Forklift licence and full UK driving licence preferred. Positive, can-do attitude with a willingness to learn and take initiative. Reliable, organised, and confident in supervising others. Strong communication and teamwork skills. Proficient IT skills. Agricultural background or good understanding of rural settings is highly desirable. How to apply: Please click on the apply now button. The Industry (Key Words): Agricultural fitter jobs, commercial fitter jobs, commercial mechanic jobs, agricultural mechanic jobs, farm fitter jobs, farm mechanic jobs, agricultural engineer jobs, farm engineer jobs, fitter jobs, mechanic jobs, engineer jobs, agricultural jobs, farm jobs, welding jobs, welder jobs, MIG jobs, TIG jobs, fabricating jobs, manager jobs, management jobs, yard manager jobs, stores manager jobs, store manager jobs, yard jobs. We thank all applicants who apply for this role. However, please be advised that only those short listed for an interview will be contacted. Please be assured that your job application will be managed in complete confidence and your personal details will not be passed to any third party without your prior permission. Established in 2013, Agricultural and Farming Jobs provide outstanding recruitment head-hunting and job advertising services. We are the trusted recruitment partner of choice to industry leading organisations across the UK and Internationally. We recruit specifically for all roles within the sectors of: Agriculture, Farming, Horticulture, Food and Fresh Produce, Vet, Pet and Animal Health, Agrochemicals, Fertilisers and Seeds, Software and Technology, Machinery, Technical and Engineering and specialist Education.
Nov 01, 2025
Full time
This role is not eligible for UK Visa Sponsorship - the successful applicant will need to have a pre-existing Right to Work in the UK in order to be offered an employment contract Deputy Yard and Store Manager Do you have experience working in a workshop environment within the agricultural, construction or farming sectors? Are you looking to move into a leadership / management role? Could this excellent opportunity be of interest to you? Location of the Job: Hertfordshire. Salary and Benefits Package: Highly competitive rate of pay depending on experience. 20 days holiday plus bank holidays. Employee Assist Programme. Overtime available during busy periods at standard rate. Free parking onsite. Company events such as Christmas party and harvest BBQ. Medicash Health Scheme. Additional holiday for length of service. Staff discounts. Additional information: This is a permanent full-time position. Working hours are 7.30am to 5pm. About The Company: A leading provider of services for the agricultural, construction and horticultural sectors. The Job Role Details: This is a hands-on leadership development role. You will work directly under the General Manager, assisting in the daily running of our yard and stores - which serve both agricultural and construction activities. Over time, and with structured support, you will take on increasing responsibility and eventually lead these areas independently. You'll be responsible for managing inventory and logistics, maintaining a safe and efficient site, and learning broader operational leadership skills. Key Responsibilities Support the General Manager in overseeing all yard and store operations. Help manage deliveries, collections, stock control, and ordering. Assist in loading and unloading of lorries. Operate a telescopic handler confidently and safely (experience required). Maintain high standards of site organisation, safety, and cleanliness. Assist with equipment and machinery maintenance. Contribute to continuous improvement of site processes, layout and tidiness. Liaise with other departments to support operational coordination. Gradually take on more leadership responsibility across the yard and stores. Structured Management Training on offer. Ideal Person Skills & Qualifications Knowledge of yard equipment maintenance and logistics planning. Familiarity with compliance standards or certifications (e.g., ISO, COSHH). Strong experience in agricultural or construction environments. Proficient with a telescopic handler (essential). Forklift licence and full UK driving licence preferred. Positive, can-do attitude with a willingness to learn and take initiative. Reliable, organised, and confident in supervising others. Strong communication and teamwork skills. Proficient IT skills. Agricultural background or good understanding of rural settings is highly desirable. How to apply: Please click on the apply now button. The Industry (Key Words): Agricultural fitter jobs, commercial fitter jobs, commercial mechanic jobs, agricultural mechanic jobs, farm fitter jobs, farm mechanic jobs, agricultural engineer jobs, farm engineer jobs, fitter jobs, mechanic jobs, engineer jobs, agricultural jobs, farm jobs, welding jobs, welder jobs, MIG jobs, TIG jobs, fabricating jobs, manager jobs, management jobs, yard manager jobs, stores manager jobs, store manager jobs, yard jobs. We thank all applicants who apply for this role. However, please be advised that only those short listed for an interview will be contacted. Please be assured that your job application will be managed in complete confidence and your personal details will not be passed to any third party without your prior permission. Established in 2013, Agricultural and Farming Jobs provide outstanding recruitment head-hunting and job advertising services. We are the trusted recruitment partner of choice to industry leading organisations across the UK and Internationally. We recruit specifically for all roles within the sectors of: Agriculture, Farming, Horticulture, Food and Fresh Produce, Vet, Pet and Animal Health, Agrochemicals, Fertilisers and Seeds, Software and Technology, Machinery, Technical and Engineering and specialist Education.
Verisk is looking for a passionate, motivated individual to join the dynamic, client facing Model Product Management team in London as a Senior Model Product Manager. You'll play a vital role in coordinating the development of Verisk's natural catastrophe models having opportunities to drive the scope, monitorthe execution and facilitate the implementation. You'll be at the forefront of bringing these complex and interdisciplinary models to market, ensuring a customer-focused approach throughout the process. This position comes with leadership responsibilities throughout the model lifecycle to drive adoption. Responsibilities Foster close relationships with all key market constituents (customers, consulting, research, engineering, QA & business development) to ensure model strategy currency and relevance. Be responsible for the collection of model feedback by developing close relationships with clients built on regular interactions, and through collaboration with the Consulting and Client Services team. Conduct thorough business analysis for proposed models and initiatives, including cost/benefit estimates, market trends, competitive analysis, risk analysis, industry best practices, and product development timelines. Develop a business case for new models and ensure the scope of updates aligns to the diverse needs of our existing and prospective clients. Deliver technical model presentations and answer model questions from varied audiences to support new licence opportunities, model evaluation, and assist clients with theregulatory requirements for a major model change. Coordinate the model change management support for London and European market clients. Work with the wider MPM team to ensure effective resources are available to support clients with adopting the updated models in a timely manner. Be a spokesperson for Verisk at industry and academic conferences, giving thought leadership based presentations with a model focus and participate in panel discussions. Represent Verisk within wider industry working groups. Collaborate with the Research teams to understand how the latest science and innovation can address market needs and translate into (model as a) product requirements and positioning. Work closely with the Regulatory and Consulting and Client Services teams to understand market needs for model adoption, periodic regulatory questionnaires and general insurance/climate stress test reporting. Collaborate with the Research team and be responsible for finding effective and timely solutions. Work closely with other Verisk business units that have adjacent solutions that serve the same markets as the model, collaborate on go to market plans and discuss model product synergies and future innovations. Explore opportunities to use model data-as-a-service within model evaluation, parametric insurance and in underwriting tools, with a primary focus on London, Europe and International markets. Be a key player in defining use cases, delivery mechanism and establishing libraries of existing and future data products. Qualifications 7+ years insurance industry experience 5+ years working with CAT modeling products Knowledge of the Lloyds market is preferred Technical knowledge of multiple natural hazard models (including but not limited to hurricane, earthquake, flood, wildfire, severe thunderstorm) Proficiency and passion in oral and written communication, including the ability to articulate complex topics in a concise and easily understandable way. Skilled in the identification of client use cases, product value add and the execution of innovation. Demonstrated ability in managing long term complex projects that include cross functional teams to successful completion. Ability to balance multiple projects simultaneously. The ability to motivate and inspire innovative discussions amongst colleagues is desirable. Direct Product Management experience (including Agile practices) is preferred A commitment to a client facing role. Graduate degree in a STEM field (PhD desirable but will consider Master's degree holders with the right mix of experience) Ability to code in languages such as SQL, R, Python will be beneficial. Knowledge of ArcGIS would be desirable. Knowledge of Touchstone and Touchstone Re is desirable but not essential. About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companiesand by Forbesas a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions - delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Nov 01, 2025
Full time
Verisk is looking for a passionate, motivated individual to join the dynamic, client facing Model Product Management team in London as a Senior Model Product Manager. You'll play a vital role in coordinating the development of Verisk's natural catastrophe models having opportunities to drive the scope, monitorthe execution and facilitate the implementation. You'll be at the forefront of bringing these complex and interdisciplinary models to market, ensuring a customer-focused approach throughout the process. This position comes with leadership responsibilities throughout the model lifecycle to drive adoption. Responsibilities Foster close relationships with all key market constituents (customers, consulting, research, engineering, QA & business development) to ensure model strategy currency and relevance. Be responsible for the collection of model feedback by developing close relationships with clients built on regular interactions, and through collaboration with the Consulting and Client Services team. Conduct thorough business analysis for proposed models and initiatives, including cost/benefit estimates, market trends, competitive analysis, risk analysis, industry best practices, and product development timelines. Develop a business case for new models and ensure the scope of updates aligns to the diverse needs of our existing and prospective clients. Deliver technical model presentations and answer model questions from varied audiences to support new licence opportunities, model evaluation, and assist clients with theregulatory requirements for a major model change. Coordinate the model change management support for London and European market clients. Work with the wider MPM team to ensure effective resources are available to support clients with adopting the updated models in a timely manner. Be a spokesperson for Verisk at industry and academic conferences, giving thought leadership based presentations with a model focus and participate in panel discussions. Represent Verisk within wider industry working groups. Collaborate with the Research teams to understand how the latest science and innovation can address market needs and translate into (model as a) product requirements and positioning. Work closely with the Regulatory and Consulting and Client Services teams to understand market needs for model adoption, periodic regulatory questionnaires and general insurance/climate stress test reporting. Collaborate with the Research team and be responsible for finding effective and timely solutions. Work closely with other Verisk business units that have adjacent solutions that serve the same markets as the model, collaborate on go to market plans and discuss model product synergies and future innovations. Explore opportunities to use model data-as-a-service within model evaluation, parametric insurance and in underwriting tools, with a primary focus on London, Europe and International markets. Be a key player in defining use cases, delivery mechanism and establishing libraries of existing and future data products. Qualifications 7+ years insurance industry experience 5+ years working with CAT modeling products Knowledge of the Lloyds market is preferred Technical knowledge of multiple natural hazard models (including but not limited to hurricane, earthquake, flood, wildfire, severe thunderstorm) Proficiency and passion in oral and written communication, including the ability to articulate complex topics in a concise and easily understandable way. Skilled in the identification of client use cases, product value add and the execution of innovation. Demonstrated ability in managing long term complex projects that include cross functional teams to successful completion. Ability to balance multiple projects simultaneously. The ability to motivate and inspire innovative discussions amongst colleagues is desirable. Direct Product Management experience (including Agile practices) is preferred A commitment to a client facing role. Graduate degree in a STEM field (PhD desirable but will consider Master's degree holders with the right mix of experience) Ability to code in languages such as SQL, R, Python will be beneficial. Knowledge of ArcGIS would be desirable. Knowledge of Touchstone and Touchstone Re is desirable but not essential. About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companiesand by Forbesas a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions - delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We operate a hybrid way of working We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be Doing Working in our Defence business unit you will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found here. You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Leading on the scope and design of projects Offering leadership and management to more junior engineers on the team Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution What we can offer you The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Oct 31, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We operate a hybrid way of working We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be Doing Working in our Defence business unit you will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found here. You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Leading on the scope and design of projects Offering leadership and management to more junior engineers on the team Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution What we can offer you The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present. About the Role You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For You can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of, and experience with the full machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Demonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Oct 31, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present. About the Role You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For You can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of, and experience with the full machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Demonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets and growing, with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. The Lead AI & ML Engineer leads this team. We're looking for an individual who can own the standard & delivery of AI/ML across Charlotte Tilbury and contribute to the development & delivery of the company's AI strategy. You'll manage & coach a team of AI engineers, and play a pivotal role in AI enablement across the company educating and advising teams across the business on safe, scalable and impactful adoption of AI. You will be expected to balance hands on technical leadership with programme level enablement, ensuring we are using existing tools pragmatically, investing in new ones where needed, and building prototypes through to production ready systems where needed. As Lead AI & ML Engineer you will be responsible for The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include Partnering with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutions. Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack. Building and maintaining production ML pipelines and services for non-GenAI use cases e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches. Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability. Implementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance. Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations. Driving and evangelizing best practices, reusable templates, and documentation to scale AI/ML delivery across the business. Collaborating with data engineers, data scientists, front & back end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end to end. Line management of AI/ML Engineers setting goals, developing skills, and mentoring for high performance. Who you will work with This role reports directly to the Director of AI & Data, and collaborates closely with the wider Data team Data Science, Core Data Engineering, Analytics, Customer Insight and the wider organisation particularly Technology, Legal, and Information Security to onboard/develop & scale AI applications. About you Strong Python engineering skills FastAPI, testing, typing and experience with cloud native development GCP preferred. Hands on experience with GCP Vertex AI model endpoints, pipelines, embeddings, vector search or equivalent cloud native AI/ML platforms e.g. AWS SageMaker, Azure ML and agent orchestration frameworks e.g. LangChain, LangGraph. Solid understanding of MLOps CI/CD, IaC Terraform, experiment tracking, model registry, and monitoring. Proven experience deploying and operating ML systems in production batch and real-time. Familiarity with RAG architectures, prompt engineering, and evaluation techniques. Strong grasp of security, privacy, and governance principles IAM, secrets, PII handling. Excellent communication skills and ability to work with non technical stakeholders. Proven experience operating as a player coach, hands on engineering manager who both builds and leads. Demonstrable ability to weigh up build/buy/configure decisions in the LLM space. Bachelor's or Master's degree in Computer Science/Engineering/related field, or demonstrable relevant experience. In addition to the above, we would LOVE if you have Knowledge of vector databases and retrieval strategies. Experience with recommender systems and ranking models. Familiarity with LLM evaluation tools e.g., RAGAS, TruLens, LangSmith, Arize. Experience in e commerce or retail environments. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves We're a hybrid model with flexibility, allowing you to work how best suits you 25 days holiday plus bank holidays with an additional day to celebrate your birthday Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey Financial security and planning with our pension and life assurance for all Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues Bring your furry friend to work with you on our allocated dog friendly days and spaces And not to forget our generous product discount and gifting! At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process. If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!
Oct 31, 2025
Full time
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets and growing, with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. The Lead AI & ML Engineer leads this team. We're looking for an individual who can own the standard & delivery of AI/ML across Charlotte Tilbury and contribute to the development & delivery of the company's AI strategy. You'll manage & coach a team of AI engineers, and play a pivotal role in AI enablement across the company educating and advising teams across the business on safe, scalable and impactful adoption of AI. You will be expected to balance hands on technical leadership with programme level enablement, ensuring we are using existing tools pragmatically, investing in new ones where needed, and building prototypes through to production ready systems where needed. As Lead AI & ML Engineer you will be responsible for The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include Partnering with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutions. Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack. Building and maintaining production ML pipelines and services for non-GenAI use cases e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches. Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability. Implementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance. Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations. Driving and evangelizing best practices, reusable templates, and documentation to scale AI/ML delivery across the business. Collaborating with data engineers, data scientists, front & back end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end to end. Line management of AI/ML Engineers setting goals, developing skills, and mentoring for high performance. Who you will work with This role reports directly to the Director of AI & Data, and collaborates closely with the wider Data team Data Science, Core Data Engineering, Analytics, Customer Insight and the wider organisation particularly Technology, Legal, and Information Security to onboard/develop & scale AI applications. About you Strong Python engineering skills FastAPI, testing, typing and experience with cloud native development GCP preferred. Hands on experience with GCP Vertex AI model endpoints, pipelines, embeddings, vector search or equivalent cloud native AI/ML platforms e.g. AWS SageMaker, Azure ML and agent orchestration frameworks e.g. LangChain, LangGraph. Solid understanding of MLOps CI/CD, IaC Terraform, experiment tracking, model registry, and monitoring. Proven experience deploying and operating ML systems in production batch and real-time. Familiarity with RAG architectures, prompt engineering, and evaluation techniques. Strong grasp of security, privacy, and governance principles IAM, secrets, PII handling. Excellent communication skills and ability to work with non technical stakeholders. Proven experience operating as a player coach, hands on engineering manager who both builds and leads. Demonstrable ability to weigh up build/buy/configure decisions in the LLM space. Bachelor's or Master's degree in Computer Science/Engineering/related field, or demonstrable relevant experience. In addition to the above, we would LOVE if you have Knowledge of vector databases and retrieval strategies. Experience with recommender systems and ranking models. Familiarity with LLM evaluation tools e.g., RAGAS, TruLens, LangSmith, Arize. Experience in e commerce or retail environments. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves We're a hybrid model with flexibility, allowing you to work how best suits you 25 days holiday plus bank holidays with an additional day to celebrate your birthday Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey Financial security and planning with our pension and life assurance for all Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues Bring your furry friend to work with you on our allocated dog friendly days and spaces And not to forget our generous product discount and gifting! At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process. If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Architecture Compute, and Engineering organization provides a transformative platform ecosystem with a comprehensive set of capabilities that empowers end users and digital product teams to innovate seamlessly and drive growth for Allstate through the Consumer Connected Cloud mission. This ecosystem aims to provide an absolute frictionless experience for our user community. The Mainframe DPM will assist with several strategic initiatives aimed at modernizing and optimizing Allstate's mainframe systems. This includes enhancing cyber resiliency through safeguarded storage upgrades, immutable backups, and disaster recovery exercises, while also transitioning legacy workloads to more agile and secure platforms. The role is central to exploring next-generation capabilities such as AI, machine learning, and containerization, leveraging technologies like zCX and z/OS 3.1 to enable on-platform intelligence and scalable automation. These efforts support a broader transformation of mainframe hosting into a dynamic, data-driven ecosystem that integrates seamlessly with distributed environments and accelerates business value delivery. Key Responsibilities Provide input on decomposing complex problems into smaller manageable tasks by creating and prioritizing a backlog for the Product Team. Assist with managing the product backlog, contribute towards creating an effective vision and provide timely stakeholder feedback on development iterations. Contribute towards creating the product strategy for one or more products in our growing digital product portfolio. Authors, tests, and accepts stories. Represent the "voice of the customer"; invest significant time with current and potential customers to understand their needs and habits. Engage in discovery/test & learn activities to quickly validate assumptions and product direction. Use customer feedback, detailed market analysis, and data gathering to provide recommendations on decisions about product strategy. Define and manage metrics to measure the success of your efforts and to inform the overall product strategy. Essential Criteria All candidates must have the legal right to work in the UK. Allstate is unable to provide sponsorship for this position. A minimum of 3 years' experience as a Digital Product Manager Must have experience in one or more of the following within the last 10 years COBOL, JCL, CICS, IMS, DB2, VSAM, and z/OS fundamentals. Experience with Agile methodologies and product management tooling Experience of development processes, human centered design, UX/UI design, and digital marketing Previous experience of breaking down complex initiatives into incremental and iterative deliverables aligned with Agile best practices and effectively communicating innovative product concepts to cross-functional development teams. Proven ability to apply data-driven decision-making to influence product direction and prioritization. Desirable Criteria Understanding of the system behaviors, how batch and online transactions work, performance tuning, and capacity planning. Familiarity with RACF, encryption standards, and audit requirements, especially in regulated industries like Insurance or Finance Supervisory Responsibilities This job does not have supervisory duties. Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact. Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility. We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value. We offer: A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts Access to world-class learning platforms and award-winning L&D Clear career paths, internal mobility, and a strong focus on growth A people-first culture with flexible working options Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability. We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit. Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position. Posting End Date: 17 October 2025
Oct 31, 2025
Full time
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Architecture Compute, and Engineering organization provides a transformative platform ecosystem with a comprehensive set of capabilities that empowers end users and digital product teams to innovate seamlessly and drive growth for Allstate through the Consumer Connected Cloud mission. This ecosystem aims to provide an absolute frictionless experience for our user community. The Mainframe DPM will assist with several strategic initiatives aimed at modernizing and optimizing Allstate's mainframe systems. This includes enhancing cyber resiliency through safeguarded storage upgrades, immutable backups, and disaster recovery exercises, while also transitioning legacy workloads to more agile and secure platforms. The role is central to exploring next-generation capabilities such as AI, machine learning, and containerization, leveraging technologies like zCX and z/OS 3.1 to enable on-platform intelligence and scalable automation. These efforts support a broader transformation of mainframe hosting into a dynamic, data-driven ecosystem that integrates seamlessly with distributed environments and accelerates business value delivery. Key Responsibilities Provide input on decomposing complex problems into smaller manageable tasks by creating and prioritizing a backlog for the Product Team. Assist with managing the product backlog, contribute towards creating an effective vision and provide timely stakeholder feedback on development iterations. Contribute towards creating the product strategy for one or more products in our growing digital product portfolio. Authors, tests, and accepts stories. Represent the "voice of the customer"; invest significant time with current and potential customers to understand their needs and habits. Engage in discovery/test & learn activities to quickly validate assumptions and product direction. Use customer feedback, detailed market analysis, and data gathering to provide recommendations on decisions about product strategy. Define and manage metrics to measure the success of your efforts and to inform the overall product strategy. Essential Criteria All candidates must have the legal right to work in the UK. Allstate is unable to provide sponsorship for this position. A minimum of 3 years' experience as a Digital Product Manager Must have experience in one or more of the following within the last 10 years COBOL, JCL, CICS, IMS, DB2, VSAM, and z/OS fundamentals. Experience with Agile methodologies and product management tooling Experience of development processes, human centered design, UX/UI design, and digital marketing Previous experience of breaking down complex initiatives into incremental and iterative deliverables aligned with Agile best practices and effectively communicating innovative product concepts to cross-functional development teams. Proven ability to apply data-driven decision-making to influence product direction and prioritization. Desirable Criteria Understanding of the system behaviors, how batch and online transactions work, performance tuning, and capacity planning. Familiarity with RACF, encryption standards, and audit requirements, especially in regulated industries like Insurance or Finance Supervisory Responsibilities This job does not have supervisory duties. Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact. Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility. We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value. We offer: A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts Access to world-class learning platforms and award-winning L&D Clear career paths, internal mobility, and a strong focus on growth A people-first culture with flexible working options Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability. We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit. Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position. Posting End Date: 17 October 2025
Data Enrichment Manager Department: SBL Analytics and R&D Employment Type: Permanent - Full Time Location: Bristol Compensation: Up to £90,000 / year Description At Somerset Bridge Group we are seeking a Data Enrichment Manager to build and lead our Data Enrichment Team, supporting the Head of Analytics and R&D in achieving the overall objectives of the function as a whole. The successful candidate will take ownership of developing and delivering the company's data enrichment strategy, ensuring the effective use of internal and external data to enhance pricing accuracy, underwriting insight and customer understanding. Through innovative and responsible use of data, help the business deliver the right prices to the right customers in a dynamic and competitive market, driving sustainable growth, improved trading performance and fair value for customers in line with regulatory expectations and company goals. What you'll be responsible for: Lead the Data Enrichment Team towards the delivery of objectives Manage workload, prioritize and delegate tasks within the Data Enrichment Team to ensure timely delivery of initiatives Define clear goals for the team, provide constructive feedback, and support professional development Motivate members of the Data Enrichment Team Continuously search for available new data sources Deliver a steady flow of high-quality rate change proposals Oversee deployment of approved rate changes Liaise with other teams (Trading, Finance, and operational teams, etc.) to highlight predicted impact of upcoming rate changes Collaborate with IT and data engineering teams to ensure data infrastructure and pipelines are robust, scalable, and secure Always keep customers in mind to ensure good value to customers, with extra attention to vulnerable customers Stay informed on market developments, competitor activity, and emerging trends; react if/as necessary Understand all the data currently available; highlight concerns & propose solutions Identify opportunities to harvest value from existing or new data sources; generate new rating factors Work with internal stakeholders and suppliers to explore new data enrichment opportunities (DPIA, contracts, invoices, etc.) Fully understand every aspect of the premium calculation; understand how RADAR and rate changes in RADAR work Stay abreast of the latest advancements in data science and machine learning, identify opportunities to incorporate new technologies and methodologies into the team's work Promote a culture of continuous learning, encourage the exploration of innovative data-driven solutions Identify leaks & opportunities and propose pricing adjustments to improve performance Identify, report, and action breaches and pricing errors Work with internal stakeholders and suppliers to deliver objectives (contracts, DPIAs, invoices, co funds, etc.) Ensure compliance with all relevant regulatory requirements and industry standards in pricing strategies and practices Promote data governance best practices, ensuring data integrity, quality, and security in all pricing activities Document rate changes, models, processes, and analytical methodologies for transparency and audit purposes Continuously search for ways to do things better; question everything, think outside the box What you'll need: Strong management and mentoring skills to develop a high-performing team of pricing professionals Strong analytical mindset Logical thinker Question everything; search for innovative new solutions Passion for data driven decisions Underwriting experience Proficiency in pricing techniques, statistical modelling, and predictive analytics Knowledge of the insurance market and competitive dynamics Commercial awareness and drive for practical outcomes Comprehensive understanding of the motor insurance industry, its regulatory environment, and market trends Ability to develop long-term pricing strategies that balance customer satisfaction, profitability, and market competitiveness Exceptional capability to interpret and synthesize large and complex datasets into actionable pricing recommendations Advanced knowledge of tools such as RADAR, Python, R, SQL, Excel, and data visualization platforms (e.g., Tableau, Power BI) Strong cross-functional collaboration Good communication skills; ability to present complex data insights clearly and persuasively to both technical and non-technical audiences (both in writing and verbal) Desire and capability of strategic planning Strong prioritization and delegation skills Deep knowledge of statistical methods and general insurance pricing methods and techniques Stakeholder management skills Programming skills Deep knowledge and understanding of data science / mathematics (at least one area) would be an advantage Our Benefits Hybrid working - 2 days in the office and 3 days working from home 25 days annual leave, rising to 27 days over 2 years' service and 30 days after 5 years' service. Plus bank holidays! Discretionary annual bonus Pension scheme - 5% employee, 6% employer Flexible working - we will always consider applications for those who require less than the advertised hours Flexi-time Healthcare Cash Plan - claim cashback on a variety of everyday healthcare costs Electric vehicle - salary sacrifice scheme 100's of exclusive retailer discounts Professional wellbeing, health & fitness app - Wrkit Enhanced parental leave, including time off for IVF appointments Religious bank holidays - if you don't celebrate Christmas and Easter, you can use these annual leave days on other occasions throughout the year. Life Assurance - 4 times your salary 25% Car Insurance Discount 20% Travel Insurance Discount Cycle to Work Scheme Employee Referral Scheme Community support day
Oct 31, 2025
Full time
Data Enrichment Manager Department: SBL Analytics and R&D Employment Type: Permanent - Full Time Location: Bristol Compensation: Up to £90,000 / year Description At Somerset Bridge Group we are seeking a Data Enrichment Manager to build and lead our Data Enrichment Team, supporting the Head of Analytics and R&D in achieving the overall objectives of the function as a whole. The successful candidate will take ownership of developing and delivering the company's data enrichment strategy, ensuring the effective use of internal and external data to enhance pricing accuracy, underwriting insight and customer understanding. Through innovative and responsible use of data, help the business deliver the right prices to the right customers in a dynamic and competitive market, driving sustainable growth, improved trading performance and fair value for customers in line with regulatory expectations and company goals. What you'll be responsible for: Lead the Data Enrichment Team towards the delivery of objectives Manage workload, prioritize and delegate tasks within the Data Enrichment Team to ensure timely delivery of initiatives Define clear goals for the team, provide constructive feedback, and support professional development Motivate members of the Data Enrichment Team Continuously search for available new data sources Deliver a steady flow of high-quality rate change proposals Oversee deployment of approved rate changes Liaise with other teams (Trading, Finance, and operational teams, etc.) to highlight predicted impact of upcoming rate changes Collaborate with IT and data engineering teams to ensure data infrastructure and pipelines are robust, scalable, and secure Always keep customers in mind to ensure good value to customers, with extra attention to vulnerable customers Stay informed on market developments, competitor activity, and emerging trends; react if/as necessary Understand all the data currently available; highlight concerns & propose solutions Identify opportunities to harvest value from existing or new data sources; generate new rating factors Work with internal stakeholders and suppliers to explore new data enrichment opportunities (DPIA, contracts, invoices, etc.) Fully understand every aspect of the premium calculation; understand how RADAR and rate changes in RADAR work Stay abreast of the latest advancements in data science and machine learning, identify opportunities to incorporate new technologies and methodologies into the team's work Promote a culture of continuous learning, encourage the exploration of innovative data-driven solutions Identify leaks & opportunities and propose pricing adjustments to improve performance Identify, report, and action breaches and pricing errors Work with internal stakeholders and suppliers to deliver objectives (contracts, DPIAs, invoices, co funds, etc.) Ensure compliance with all relevant regulatory requirements and industry standards in pricing strategies and practices Promote data governance best practices, ensuring data integrity, quality, and security in all pricing activities Document rate changes, models, processes, and analytical methodologies for transparency and audit purposes Continuously search for ways to do things better; question everything, think outside the box What you'll need: Strong management and mentoring skills to develop a high-performing team of pricing professionals Strong analytical mindset Logical thinker Question everything; search for innovative new solutions Passion for data driven decisions Underwriting experience Proficiency in pricing techniques, statistical modelling, and predictive analytics Knowledge of the insurance market and competitive dynamics Commercial awareness and drive for practical outcomes Comprehensive understanding of the motor insurance industry, its regulatory environment, and market trends Ability to develop long-term pricing strategies that balance customer satisfaction, profitability, and market competitiveness Exceptional capability to interpret and synthesize large and complex datasets into actionable pricing recommendations Advanced knowledge of tools such as RADAR, Python, R, SQL, Excel, and data visualization platforms (e.g., Tableau, Power BI) Strong cross-functional collaboration Good communication skills; ability to present complex data insights clearly and persuasively to both technical and non-technical audiences (both in writing and verbal) Desire and capability of strategic planning Strong prioritization and delegation skills Deep knowledge of statistical methods and general insurance pricing methods and techniques Stakeholder management skills Programming skills Deep knowledge and understanding of data science / mathematics (at least one area) would be an advantage Our Benefits Hybrid working - 2 days in the office and 3 days working from home 25 days annual leave, rising to 27 days over 2 years' service and 30 days after 5 years' service. Plus bank holidays! Discretionary annual bonus Pension scheme - 5% employee, 6% employer Flexible working - we will always consider applications for those who require less than the advertised hours Flexi-time Healthcare Cash Plan - claim cashback on a variety of everyday healthcare costs Electric vehicle - salary sacrifice scheme 100's of exclusive retailer discounts Professional wellbeing, health & fitness app - Wrkit Enhanced parental leave, including time off for IVF appointments Religious bank holidays - if you don't celebrate Christmas and Easter, you can use these annual leave days on other occasions throughout the year. Life Assurance - 4 times your salary 25% Car Insurance Discount 20% Travel Insurance Discount Cycle to Work Scheme Employee Referral Scheme Community support day
Job ID: Amazon Web Services EMEA SARL Greek Branch AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you a customer obsessed builder with a passion for helping customers achieve their full potential? Do you have the deep technical background, linked to business outcomes, in Data and Analytics, and customer engagement skills necessary to help position AWS as the cloud provider of choice for customers? Do you love enabling new strategic and data driven businesses? Do you want to join one of the fastest growing organizations within Amazon Web Services (AWS)? Join the AGS Specialists Team in Europe Central as a Specialist Solutions Architect for Analytics for Europe Central. Role is based out of Athens, Greece; responsibilities will cover segments and regions across the Europe Central area. AWS Global Sales (AGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small and mid market accounts to enterprise level customers including public sector. Key job responsibilities: As Specialist Solution Architect for Analytics, you will be responsible for supporting adoption and utilization of AWS Analytics services for high propensity focus customers in Europe Central. You will gather customer and industry needs and partner with AWS product teams to innovate, develop, and deliver AWS solutions. Specialist Solution Architects are technically savvy resources (L400+) responsible for helping customers adopt AWS services, remove blockers for service adoption, influencing the AWS product roadmap, and driving usage of your AWS service(s). You will collaborate with your Sales and Go to Market counterparts to influence GTM strategies and sales plays for new or existing services; you will also identify gaps in AWS products or feature sets based on customer insights and partner with internal product teams and account managers to win strategic customer workloads and drive business revenue. You will work on thought leadership and reusable assets and demos to help customers adopt AWS services. A day in the life: Meet the hottest companies ready to use data, Analytics and AI/ML to drive better business outcomes. Become the trusted advisor of their leaders, decision makers and key individuals. Bridge the gap between business goals and technology. Inspire on art of the possible use cases for Analytics, Data & AI/ML. Represent your region vis à vis AWS product teams and influence our Analytics roadmap to best support your customers. Work with AWS specialists (sellers and go to market specialists) and field teams to deliver results for your customers. Work hard. Make a difference. Enjoy life. About the team The Specialists Analytics team positions AWS as the best place to run Data & AI/ML workloads. Our team helps customers become data driven organizations and implement Analytics capabilities at scale, in close collaboration with Data and AI/ML teams. The Specialists organization works backwards from customers to build and execute go to market plans. Specialists teams include business development, specialist sales, and technical solutions architecture skills. As part of the Specialists team, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Basic Qualifications Extensive experience with Analytics technologies and tooling, including: Data Warehouses/Lakes, Batching and streaming data pipelines, data management/governance, visualization, with solid understanding of core AI/ML concepts; BA/BS degree in computer science, software engineering, or another technical discipline, OR equivalent experience; Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics); Customer facing skills, with track record of building rapport with Executive level stakeholders at customers and internally. Preferred Qualifications Demonstrated ability to communicate complex technical concepts; Experience in Data Strategy, Data Science and Machine Learning/AI use cases; Track record of implementing cloud services across diverse business environments; Professional certifications in cloud and data technologies; Experience working with Technology Partners (Software Vendors, System Integrators) in the data & Analytics space, as well as working with end user or developer communities. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Oct 31, 2025
Full time
Job ID: Amazon Web Services EMEA SARL Greek Branch AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you a customer obsessed builder with a passion for helping customers achieve their full potential? Do you have the deep technical background, linked to business outcomes, in Data and Analytics, and customer engagement skills necessary to help position AWS as the cloud provider of choice for customers? Do you love enabling new strategic and data driven businesses? Do you want to join one of the fastest growing organizations within Amazon Web Services (AWS)? Join the AGS Specialists Team in Europe Central as a Specialist Solutions Architect for Analytics for Europe Central. Role is based out of Athens, Greece; responsibilities will cover segments and regions across the Europe Central area. AWS Global Sales (AGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small and mid market accounts to enterprise level customers including public sector. Key job responsibilities: As Specialist Solution Architect for Analytics, you will be responsible for supporting adoption and utilization of AWS Analytics services for high propensity focus customers in Europe Central. You will gather customer and industry needs and partner with AWS product teams to innovate, develop, and deliver AWS solutions. Specialist Solution Architects are technically savvy resources (L400+) responsible for helping customers adopt AWS services, remove blockers for service adoption, influencing the AWS product roadmap, and driving usage of your AWS service(s). You will collaborate with your Sales and Go to Market counterparts to influence GTM strategies and sales plays for new or existing services; you will also identify gaps in AWS products or feature sets based on customer insights and partner with internal product teams and account managers to win strategic customer workloads and drive business revenue. You will work on thought leadership and reusable assets and demos to help customers adopt AWS services. A day in the life: Meet the hottest companies ready to use data, Analytics and AI/ML to drive better business outcomes. Become the trusted advisor of their leaders, decision makers and key individuals. Bridge the gap between business goals and technology. Inspire on art of the possible use cases for Analytics, Data & AI/ML. Represent your region vis à vis AWS product teams and influence our Analytics roadmap to best support your customers. Work with AWS specialists (sellers and go to market specialists) and field teams to deliver results for your customers. Work hard. Make a difference. Enjoy life. About the team The Specialists Analytics team positions AWS as the best place to run Data & AI/ML workloads. Our team helps customers become data driven organizations and implement Analytics capabilities at scale, in close collaboration with Data and AI/ML teams. The Specialists organization works backwards from customers to build and execute go to market plans. Specialists teams include business development, specialist sales, and technical solutions architecture skills. As part of the Specialists team, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Basic Qualifications Extensive experience with Analytics technologies and tooling, including: Data Warehouses/Lakes, Batching and streaming data pipelines, data management/governance, visualization, with solid understanding of core AI/ML concepts; BA/BS degree in computer science, software engineering, or another technical discipline, OR equivalent experience; Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics); Customer facing skills, with track record of building rapport with Executive level stakeholders at customers and internally. Preferred Qualifications Demonstrated ability to communicate complex technical concepts; Experience in Data Strategy, Data Science and Machine Learning/AI use cases; Track record of implementing cloud services across diverse business environments; Professional certifications in cloud and data technologies; Experience working with Technology Partners (Software Vendors, System Integrators) in the data & Analytics space, as well as working with end user or developer communities. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
United Kingdom Bloomreach is building the world's premier agentic platform for personalization .We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Agent Platform AI Senior PM Overview: Bloomreach is redefining how marketing teams create customer experiences by building an AI-driven Marketing Agent that collaborates with marketers to execute campaigns faster and smarter. As a Senior Product Manager, you'll lead the development of the "agent brain," leveraging data, context, and machine learning to enable autonomous decision-making and continuous improvement. Responsibilities: Define and execute the product vision for the Marketing Agent, ensuring alignment with Bloomreach's strategic goals. Break down complex problems into iterative deliverables, prioritizing features that deliver immediate customer value. Build and test prototypes to validate concepts, using feedback to refine the agent's learning loop and context-enrichment capabilities. Cross-Functional Collaboration Partner with engineering, design, and product marketing teams to ship high-quality, customer-centric features. Enable go-to-market teams by articulating product value propositions and supporting launch strategies. Structure and enrich data to improve the agent's decision-making accuracy and scalability. Design evaluation frameworks to measure agent performance and drive automated learning. Stakeholder Management Secure buy-in from executives and stakeholders by communicating product vision and progress clearly. Collaborate with sales, customer success, and marketing to gather insights and refine the roadmap. Qualifications 5+ years of product management experience, with a focus on AI/ML, data-driven SaaS products or AI start-ups. Proven ability to ship features that drive measurable customer outcomes. Technical fluency in AI concepts (agents, prompt engineering, LLMs) and data systems (databases, APIs, pipelines). Experience prototyping ideas and working hands-on with engineers to validate technical feasibility. Strong communicator who can simplify complex topics for technical and non-technical audiences. Preferred Qualifications Background in marketing technology or customer experience platforms. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer . We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! ( Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. Create a Job Alert Interested in building your career at Bloomreach? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Do you now or in the future require visa sponsorship to continue working in one of the countries where this job is posted? Select Are you currently eligible to work in one of the countries where this job is posted as per this job post? Select Where did you hear about Bloomreach? Select By submitting this form you consent to Bloomreach processing your data and contacting you to fulfill your request. For more information on how we are committed to protecting and respecting your privacy, please review ourPrivacy Policy and ourRecruitment Privacy Notice
Oct 31, 2025
Full time
United Kingdom Bloomreach is building the world's premier agentic platform for personalization .We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Agent Platform AI Senior PM Overview: Bloomreach is redefining how marketing teams create customer experiences by building an AI-driven Marketing Agent that collaborates with marketers to execute campaigns faster and smarter. As a Senior Product Manager, you'll lead the development of the "agent brain," leveraging data, context, and machine learning to enable autonomous decision-making and continuous improvement. Responsibilities: Define and execute the product vision for the Marketing Agent, ensuring alignment with Bloomreach's strategic goals. Break down complex problems into iterative deliverables, prioritizing features that deliver immediate customer value. Build and test prototypes to validate concepts, using feedback to refine the agent's learning loop and context-enrichment capabilities. Cross-Functional Collaboration Partner with engineering, design, and product marketing teams to ship high-quality, customer-centric features. Enable go-to-market teams by articulating product value propositions and supporting launch strategies. Structure and enrich data to improve the agent's decision-making accuracy and scalability. Design evaluation frameworks to measure agent performance and drive automated learning. Stakeholder Management Secure buy-in from executives and stakeholders by communicating product vision and progress clearly. Collaborate with sales, customer success, and marketing to gather insights and refine the roadmap. Qualifications 5+ years of product management experience, with a focus on AI/ML, data-driven SaaS products or AI start-ups. Proven ability to ship features that drive measurable customer outcomes. Technical fluency in AI concepts (agents, prompt engineering, LLMs) and data systems (databases, APIs, pipelines). Experience prototyping ideas and working hands-on with engineers to validate technical feasibility. Strong communicator who can simplify complex topics for technical and non-technical audiences. Preferred Qualifications Background in marketing technology or customer experience platforms. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer . We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! ( Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. Create a Job Alert Interested in building your career at Bloomreach? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Do you now or in the future require visa sponsorship to continue working in one of the countries where this job is posted? Select Are you currently eligible to work in one of the countries where this job is posted as per this job post? Select Where did you hear about Bloomreach? Select By submitting this form you consent to Bloomreach processing your data and contacting you to fulfill your request. For more information on how we are committed to protecting and respecting your privacy, please review ourPrivacy Policy and ourRecruitment Privacy Notice
Open source software is the new default in the enterprise, and Canonical is the new challenger to major enterprise software vendors. We deliver better open source from the data center to cloud and edge. Our Linux distribution Ubuntu is now the leading platform for public cloud compute, and the favorite platform for software engineers, data scientists and AI developers. Our mission is to accelerate the adoption and quality of open source globally, and our goal is to ship the most software on the planet by cores. A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave. Our customers include Global 500 enterprises and startups. We are expanding our product range from the base operating system - Ubuntu - to full enterprise solutions in infrastructure and applications. We can deliver software defined storage, private cloud solutions, container runtime environments, as well as databases, message queues, identity, observability, analytics, machine learning and web publishing capabilities. Customers love the idea that they can get security compliance and support for everything open source from a single company. Our goal is to have more solutions on tap than any other vendor, and we have built unique capabilities to make that possible across every cloud, every class of compute and every category of application. Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem. We are just over 1,000 colleagues in 70+ countries and $250m in revenue, profitable, on a steady but relentless growth trajectory. We are almost entirely distributed, with leadership spread across many countries. We believe that talent is equally distributed across the globe, and we are excited to hire, develop, promote and ultimately trust a diverse group of exceptional leads to build the best, not biggest, enterprise software company. We hire carefully and deliberately; our selection process is long and requires substantial work from applicants. It will take successful applicants three to six months to secure an offer. This is not a place to apply if you are in a rush to find a position, it is a worthwhile place to apply if you are ambitious and long-term in your thinking about your career and the dynamics which move the world forward. If you see clearly the rise of open source, and you understand the drivers of enterprise procurement and technical decision making, then you will understand why Canonical has such a tremendous long term advantage. You will also understand, given the ferocity of competition and the challenges of competing in a market of giants, that we have to set a very high bar for hiring and performance. In order to be a world leading company we select for exceptional ability as well as character, and then provide an environment which promotes teamwork and celebrates diligence, collaboration and effectiveness. All of those are easy to say but hard to do - at Canonical we are willing to be uncomfortable in pursuit of that excellence. In building our sales team, we look for five things: Empathy for the customer - a real understanding of customer needs, industry-specific challenges, and a desire to help customers solve their business problems High intellect - the ability to learn quickly, understand very complex subjects, and communicate clearly to build trust and confidence Passion for technology - a fascination with the state of the art from brilliant people solving hard problems, and fierce competition for large prizes Teamwork - a willingness to help others, to collaborate well with people from different disciplines, and to balance personal and team ambitions Energy - the drive to motivate oneself and others to achieve the best result for the team and our customers Ubuntu is already very widely adopted which gives us a credible basis for conversations in the market. Nevertheless, it requires real work for sales professionals to build on that adoption to create trusted and profitable commercial relationships with the enterprises in their territory. Our product managers and marketing teams run campaigns to generate awareness, engagement and leads, but you will need to go beyond managing inbound interest to develop the potential of your territory. You will need judgement as to which industries and companies are ready to go deeper with open source and Canonical, and energy to develop relationships in advance of proven interest. We expect professional practice, territory and account planning, as well as clear, complete and continuous reporting on pipeline status and activity, using standard professional tools. The successful candidate will carry an annual bookings quota within their assigned territory. They should be able to travel regionally for client engagement, industry conferences, and internationally for company events twice a year. They will be expected to demonstrate professionalism and effectiveness, to prospect accounts for new business, maintain and develop existing relationships, and work with colleagues and partners on account strategy. They must be comfortable selling enterprise software, open source, cloud, virtualization, container technologies and technical software solutions to senior levels of the enterprise. Location: We are expanding our sales organisation globally and have open roles in every region. What your day will look like Represent the company, its solutions and software, in your territory Build and execute a territory plan to prioritize outreach and prospecting Develop new pipeline through outreach, prospecting, local marketing, and industry events Close contracts to meet and exceed quarterly and annual bookings targets Be mindful and proactive in achieving tactical and strategic objectives Manage customer relationships and interactions through all stages of the sales cycle Work with field engineers to propose solutions that solve our customers' business problems Work with customer success to identify growth opportunities Maintain accurate pipeline data and forecasts within Salesforce Establish productive professional relationships with key influencers and decision makers What we are looking for in you Bachelor's level degree, preferably in engineering or computer science Experience of open source technology and solutions Detail oriented with effective follow-up Experience in enterprise software or technology sales planning and execution Track record of achievement in sales targets and new account wins Self-discipline and motivation to be successful in a distributed team Professional written and spoken English, as well as any language that may be appropriate for your target market Ability to travel for customer engagements, industry events and company events Additional skills of interest Specific vertical experience, in particular finance, telco, health, energy, public sector, tech Experience speaking at conferences or industry events What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven commission structure. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a fully distributed company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer
Oct 31, 2025
Full time
Open source software is the new default in the enterprise, and Canonical is the new challenger to major enterprise software vendors. We deliver better open source from the data center to cloud and edge. Our Linux distribution Ubuntu is now the leading platform for public cloud compute, and the favorite platform for software engineers, data scientists and AI developers. Our mission is to accelerate the adoption and quality of open source globally, and our goal is to ship the most software on the planet by cores. A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave. Our customers include Global 500 enterprises and startups. We are expanding our product range from the base operating system - Ubuntu - to full enterprise solutions in infrastructure and applications. We can deliver software defined storage, private cloud solutions, container runtime environments, as well as databases, message queues, identity, observability, analytics, machine learning and web publishing capabilities. Customers love the idea that they can get security compliance and support for everything open source from a single company. Our goal is to have more solutions on tap than any other vendor, and we have built unique capabilities to make that possible across every cloud, every class of compute and every category of application. Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem. We are just over 1,000 colleagues in 70+ countries and $250m in revenue, profitable, on a steady but relentless growth trajectory. We are almost entirely distributed, with leadership spread across many countries. We believe that talent is equally distributed across the globe, and we are excited to hire, develop, promote and ultimately trust a diverse group of exceptional leads to build the best, not biggest, enterprise software company. We hire carefully and deliberately; our selection process is long and requires substantial work from applicants. It will take successful applicants three to six months to secure an offer. This is not a place to apply if you are in a rush to find a position, it is a worthwhile place to apply if you are ambitious and long-term in your thinking about your career and the dynamics which move the world forward. If you see clearly the rise of open source, and you understand the drivers of enterprise procurement and technical decision making, then you will understand why Canonical has such a tremendous long term advantage. You will also understand, given the ferocity of competition and the challenges of competing in a market of giants, that we have to set a very high bar for hiring and performance. In order to be a world leading company we select for exceptional ability as well as character, and then provide an environment which promotes teamwork and celebrates diligence, collaboration and effectiveness. All of those are easy to say but hard to do - at Canonical we are willing to be uncomfortable in pursuit of that excellence. In building our sales team, we look for five things: Empathy for the customer - a real understanding of customer needs, industry-specific challenges, and a desire to help customers solve their business problems High intellect - the ability to learn quickly, understand very complex subjects, and communicate clearly to build trust and confidence Passion for technology - a fascination with the state of the art from brilliant people solving hard problems, and fierce competition for large prizes Teamwork - a willingness to help others, to collaborate well with people from different disciplines, and to balance personal and team ambitions Energy - the drive to motivate oneself and others to achieve the best result for the team and our customers Ubuntu is already very widely adopted which gives us a credible basis for conversations in the market. Nevertheless, it requires real work for sales professionals to build on that adoption to create trusted and profitable commercial relationships with the enterprises in their territory. Our product managers and marketing teams run campaigns to generate awareness, engagement and leads, but you will need to go beyond managing inbound interest to develop the potential of your territory. You will need judgement as to which industries and companies are ready to go deeper with open source and Canonical, and energy to develop relationships in advance of proven interest. We expect professional practice, territory and account planning, as well as clear, complete and continuous reporting on pipeline status and activity, using standard professional tools. The successful candidate will carry an annual bookings quota within their assigned territory. They should be able to travel regionally for client engagement, industry conferences, and internationally for company events twice a year. They will be expected to demonstrate professionalism and effectiveness, to prospect accounts for new business, maintain and develop existing relationships, and work with colleagues and partners on account strategy. They must be comfortable selling enterprise software, open source, cloud, virtualization, container technologies and technical software solutions to senior levels of the enterprise. Location: We are expanding our sales organisation globally and have open roles in every region. What your day will look like Represent the company, its solutions and software, in your territory Build and execute a territory plan to prioritize outreach and prospecting Develop new pipeline through outreach, prospecting, local marketing, and industry events Close contracts to meet and exceed quarterly and annual bookings targets Be mindful and proactive in achieving tactical and strategic objectives Manage customer relationships and interactions through all stages of the sales cycle Work with field engineers to propose solutions that solve our customers' business problems Work with customer success to identify growth opportunities Maintain accurate pipeline data and forecasts within Salesforce Establish productive professional relationships with key influencers and decision makers What we are looking for in you Bachelor's level degree, preferably in engineering or computer science Experience of open source technology and solutions Detail oriented with effective follow-up Experience in enterprise software or technology sales planning and execution Track record of achievement in sales targets and new account wins Self-discipline and motivation to be successful in a distributed team Professional written and spoken English, as well as any language that may be appropriate for your target market Ability to travel for customer engagements, industry events and company events Additional skills of interest Specific vertical experience, in particular finance, telco, health, energy, public sector, tech Experience speaking at conferences or industry events What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven commission structure. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a fully distributed company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And that's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. BMW Group Plant Hams Hall is a modern, state-of-the-art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three and four cylinder petrol engines, and precision machining key engine components, the plant has recently celebrated 20 years of successful production. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group's global production network, supplying engines for BMW and MINI, including some of the latest plug-in hybrid vehicles. BMW Hams Hall, Birmingham - Data Scientist - 13 Month Placement (July 2026) Join our award-winning Innovation and Digitalisation team at BMW Plant Hams Hall for an enriching 13-month Data Science Placement. This role offers a unique blend of responsibilities and opportunities, working with state-of-the-art technologies and complex data systems integral to our production processes. What awaits you? Our team provides an unparalleled platform for you to translate your passion for data science into real-world applications within an industry-leading setting. Expect to make a tangible impact and be given the responsibility and freedom to develop your skills in a dynamic, agile environment. Innovative Problem-Solving: Utilize statistical analysis and artificial intelligence to tackle challenges in predictive maintenance and optimize logistics operations. Ownership & Innovation: Engage with our "Fully Connected Digital Twin" to drive innovation and lead projects alongside our dedicated associates. Collaborative Opportunities: Work alongside top external tech companies to spearhead innovation initiatives. Cutting-Edge AI Exploration: Investigate generative AI applications, including the development of a Copilot tool aimed at enhancing operational transparency and efficiency. Advanced Cloud Technology: Enhance your expertise in cloud computing by using platforms and tools from AWS, Azure, and others. What should you bring along? Academic Excellence: Pursuing a degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics, or a related field, with a strong academic record. Communication Skills: Exceptional verbal and written communication abilities. Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking. Database Knowledge: A grasp of using SQL databases is beneficial. Analytical Expertise: Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition. Business Intelligence Insight: Experience with business intelligence or familiarity with low/no code platforms is advantageous. What can you look forward to? Great Pay - A competitive annual salary of £26,600, 26 days holiday per annum (pro rata to your contract) and an attractive pension scheme. Rewarding Work-Life Balance - Contracted working hours are39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance. Exciting Additional Benefits -You will have the opportunity to enjoy other employee benefits, including an on-site gym, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts. What do you need to do now? If you apply, the next stages of the recruiting process include online testing, an in person assessment centre and then a virtual interview with the hiring manager. Please note: To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK. We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation. At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Closing date for applications: Sunday 30th November 2025
Oct 31, 2025
Full time
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And that's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. BMW Group Plant Hams Hall is a modern, state-of-the-art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three and four cylinder petrol engines, and precision machining key engine components, the plant has recently celebrated 20 years of successful production. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group's global production network, supplying engines for BMW and MINI, including some of the latest plug-in hybrid vehicles. BMW Hams Hall, Birmingham - Data Scientist - 13 Month Placement (July 2026) Join our award-winning Innovation and Digitalisation team at BMW Plant Hams Hall for an enriching 13-month Data Science Placement. This role offers a unique blend of responsibilities and opportunities, working with state-of-the-art technologies and complex data systems integral to our production processes. What awaits you? Our team provides an unparalleled platform for you to translate your passion for data science into real-world applications within an industry-leading setting. Expect to make a tangible impact and be given the responsibility and freedom to develop your skills in a dynamic, agile environment. Innovative Problem-Solving: Utilize statistical analysis and artificial intelligence to tackle challenges in predictive maintenance and optimize logistics operations. Ownership & Innovation: Engage with our "Fully Connected Digital Twin" to drive innovation and lead projects alongside our dedicated associates. Collaborative Opportunities: Work alongside top external tech companies to spearhead innovation initiatives. Cutting-Edge AI Exploration: Investigate generative AI applications, including the development of a Copilot tool aimed at enhancing operational transparency and efficiency. Advanced Cloud Technology: Enhance your expertise in cloud computing by using platforms and tools from AWS, Azure, and others. What should you bring along? Academic Excellence: Pursuing a degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics, or a related field, with a strong academic record. Communication Skills: Exceptional verbal and written communication abilities. Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking. Database Knowledge: A grasp of using SQL databases is beneficial. Analytical Expertise: Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition. Business Intelligence Insight: Experience with business intelligence or familiarity with low/no code platforms is advantageous. What can you look forward to? Great Pay - A competitive annual salary of £26,600, 26 days holiday per annum (pro rata to your contract) and an attractive pension scheme. Rewarding Work-Life Balance - Contracted working hours are39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance. Exciting Additional Benefits -You will have the opportunity to enjoy other employee benefits, including an on-site gym, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts. What do you need to do now? If you apply, the next stages of the recruiting process include online testing, an in person assessment centre and then a virtual interview with the hiring manager. Please note: To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK. We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation. At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Closing date for applications: Sunday 30th November 2025
As a leader in cybersecurity, Rapid7 is expanding our global AI footprint and is looking for a passionate Senior AI Engineer to join Rapid7's AI Centre of Excellence. The AI centre of excellence is on a mission to use AI to accelerate threat investigation, detection and response (D&R) capabilities of our Security Operations Centre (SOC) for both conventional networks and cloud environments. You should be ready to design and deliver solutions that address complex, unsolved challenges, working closely with development teams, data engineering, product managers and UI/UX teams along the way. About the Team The AI Center of Excellence team designs, prototypes and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. For example, we partner closely with Rapid7's Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. The environment is collaborative, sharing knowledge and developing internal learning. If you're passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity. The technologies we use include: AWS for hosting our research environments, data, and features (i.e. Sagemaker, Bedrock) EKS to deploy applications Terraform to manage infrastructure Python for analysis and modeling, taking advantage of numpy and pandas for data wrangling. Jupyter notebooks (locally and remotely hosted) as a computational environment Sci-kit learn for building machine learning models Anomaly detection methods to make sense of unlabeled data About the Role Rapid7 is seeking a Staff AI Engineer to join our team as we expand and evolve our growing AI and MLOps efforts. You should have a strong foundation in software engineering, and MLOps and DevOps systems and tools. Further, you'll have a demonstrated track record of taking models created in the AI R&D process to production with repeatable deployment, monitoring and observability patterns. In this intersectional role, you will combine your expertise in AI/ML deployments, cloud systems and software engineering to enhance our product offerings and streamline our platform's functionalities. Specifically, your focus will be to: Design and build ML production systems, including project scoping, data requirements, modeling strategies, and deployment Develop and maintain data pipelines, manage the data lifecycle, and ensure data quality and consistency throughout Assure robust implementation of ML guardrails and manage all aspects of service monitoring Develop and deploy accessible endpoints, including web applications and REST APIs, while maintaining steadfast data privacy and adherence to security best practices and regulations Share expertise and knowledge consistently with internal and external stakeholders, nurturing a collaborative environment and fostering the development of junior engineers Embrace agile development practices, valuing constant iteration, improvement, and effective problem-solving in complex and ambiguous scenarios. The skills and qualities you'll bring include: 8-12 years experience as a Software Engineer, with at least 3 years focused on gaining expertise in ML deployment (especially in AWS) Solid technical experience in the following is required: Software engineering: developing APIs with Flask or FastAPI, paired with strong Python knowledge DevOps and MLOps: Designing and integrating scalable AI/ML systems into production environments, CI/CD tooling, Docker, Kubernetes, cloud AI resource utilization and management Pipelines, monitoring, and observability: Data pre-processing and feature engineering, model monitoring and evaluation A growth mindset - welcoming the challenge of tackling complex problems with a bias for action Proven ability to collaborate effectively across engineering, data science, product, and other teams to drive successful MLOps initiatives and ensure alignment on goals and deliverables. Familiarity with resources that enable data scientists to fine tune and experiment with LLMs Knowledge of or experience with model risk management strategies, including model registries, concept/covariate drift monitoring, and hyperparameter tuning Enjoy mentoring and elevating the technical performance of your peers Demonstrate curiosity and persistence - you're excited to explore new techniques, tools, and ideas while maintaining focus on reliability and value Balance autonomy with accountability, with a strong sense of ownership for delivering AI capabilities that make measurable impact Strong written & verbal communication with the ability to convey complex ideas clearly to both technical and non-technical audiences Approaches change with openness and curiosity, seeking to understand the "why" and helping teams adapt quickly and effectively Core Value Embodiment: Embody our core values to foster a culture of excellence that drives meaningful impact and collective success. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.
Oct 31, 2025
Full time
As a leader in cybersecurity, Rapid7 is expanding our global AI footprint and is looking for a passionate Senior AI Engineer to join Rapid7's AI Centre of Excellence. The AI centre of excellence is on a mission to use AI to accelerate threat investigation, detection and response (D&R) capabilities of our Security Operations Centre (SOC) for both conventional networks and cloud environments. You should be ready to design and deliver solutions that address complex, unsolved challenges, working closely with development teams, data engineering, product managers and UI/UX teams along the way. About the Team The AI Center of Excellence team designs, prototypes and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. For example, we partner closely with Rapid7's Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. The environment is collaborative, sharing knowledge and developing internal learning. If you're passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity. The technologies we use include: AWS for hosting our research environments, data, and features (i.e. Sagemaker, Bedrock) EKS to deploy applications Terraform to manage infrastructure Python for analysis and modeling, taking advantage of numpy and pandas for data wrangling. Jupyter notebooks (locally and remotely hosted) as a computational environment Sci-kit learn for building machine learning models Anomaly detection methods to make sense of unlabeled data About the Role Rapid7 is seeking a Staff AI Engineer to join our team as we expand and evolve our growing AI and MLOps efforts. You should have a strong foundation in software engineering, and MLOps and DevOps systems and tools. Further, you'll have a demonstrated track record of taking models created in the AI R&D process to production with repeatable deployment, monitoring and observability patterns. In this intersectional role, you will combine your expertise in AI/ML deployments, cloud systems and software engineering to enhance our product offerings and streamline our platform's functionalities. Specifically, your focus will be to: Design and build ML production systems, including project scoping, data requirements, modeling strategies, and deployment Develop and maintain data pipelines, manage the data lifecycle, and ensure data quality and consistency throughout Assure robust implementation of ML guardrails and manage all aspects of service monitoring Develop and deploy accessible endpoints, including web applications and REST APIs, while maintaining steadfast data privacy and adherence to security best practices and regulations Share expertise and knowledge consistently with internal and external stakeholders, nurturing a collaborative environment and fostering the development of junior engineers Embrace agile development practices, valuing constant iteration, improvement, and effective problem-solving in complex and ambiguous scenarios. The skills and qualities you'll bring include: 8-12 years experience as a Software Engineer, with at least 3 years focused on gaining expertise in ML deployment (especially in AWS) Solid technical experience in the following is required: Software engineering: developing APIs with Flask or FastAPI, paired with strong Python knowledge DevOps and MLOps: Designing and integrating scalable AI/ML systems into production environments, CI/CD tooling, Docker, Kubernetes, cloud AI resource utilization and management Pipelines, monitoring, and observability: Data pre-processing and feature engineering, model monitoring and evaluation A growth mindset - welcoming the challenge of tackling complex problems with a bias for action Proven ability to collaborate effectively across engineering, data science, product, and other teams to drive successful MLOps initiatives and ensure alignment on goals and deliverables. Familiarity with resources that enable data scientists to fine tune and experiment with LLMs Knowledge of or experience with model risk management strategies, including model registries, concept/covariate drift monitoring, and hyperparameter tuning Enjoy mentoring and elevating the technical performance of your peers Demonstrate curiosity and persistence - you're excited to explore new techniques, tools, and ideas while maintaining focus on reliability and value Balance autonomy with accountability, with a strong sense of ownership for delivering AI capabilities that make measurable impact Strong written & verbal communication with the ability to convey complex ideas clearly to both technical and non-technical audiences Approaches change with openness and curiosity, seeking to understand the "why" and helping teams adapt quickly and effectively Core Value Embodiment: Embody our core values to foster a culture of excellence that drives meaningful impact and collective success. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.
Client Solutions Manager, Mobile Apps TürkiyeClient Solutions Manager, Mobile Apps Türkiye Responsibilities Identify, create, and implement marketing solutions grounded on achieving measurable business results for our partners Responsible for educating clients on products, new solutions and best practices to drive adoption and grow existing business partnership Use data and insights to guide strategy and implementation of Meta solutions against client's marketing objectives Build and manage relationships with key clients, ecosystem partners (media, ad-tech, creative, marketing etc.) Advise on media, measurement, and creative strategy to deliver against client goals Conduct data analyses to guide client strategy, which may include setting up dashboards to detect performance patterns and translate them into actionable insights Collaboration with internal cross-functional teams and co-manage complex work streams Flawless management of internal account operations (revenue delivery, media recommendations, troubleshooting issues, optimization opportunities) Act as a consultant for partners, establishing meaningful relationships and driving clients to action Be an active contributor of the regional sales team to contribute to overall team goals and development Open to travel frequentlyMinimum Qualifications Fluency in English and Turkish Mobile App, Gaming or eCommerce hands-on startup, scaleup or enterprise experience Experience as a Facebook, Instagram, WhatsApp and Messenger user and knowledge of Meta's ad products Understanding of attribution modelling /measurement Experience working with tools, analyzing large datasets and delivering actionable insights Practicla knowlegde how to prioritize and manage multiple tasks and projects simultaneously, using tools Experience in managing complex projects and work streams with minimal direction with a high attention to detail Experience working with cross-functional teams Consistently demonstrate level of integrity and ownership Communicate, collaborate and work effectively in a team Consultative selling skills Adapting to changing priorities and requirements, and to pivot quickly when necessaryPreferred Qualifications Designed and built end-to-end systems and launch-plan strategies Experience with coding and Meta APIs Experience with AI prompt engineering, GenAI, Large Language Models (LLMs), Machine Learning (ML), etc Experience communicating technical concepts to non-technical audiences Understanding of ad tech ecosystem and digital media platforms International work experience BA/BS degree in a engineering or marketing fieldAPPLY NOW Find your roleExplore jobs that match your skills and experience. Search by technology, team or location to find an opening that's right for you.
Oct 31, 2025
Full time
Client Solutions Manager, Mobile Apps TürkiyeClient Solutions Manager, Mobile Apps Türkiye Responsibilities Identify, create, and implement marketing solutions grounded on achieving measurable business results for our partners Responsible for educating clients on products, new solutions and best practices to drive adoption and grow existing business partnership Use data and insights to guide strategy and implementation of Meta solutions against client's marketing objectives Build and manage relationships with key clients, ecosystem partners (media, ad-tech, creative, marketing etc.) Advise on media, measurement, and creative strategy to deliver against client goals Conduct data analyses to guide client strategy, which may include setting up dashboards to detect performance patterns and translate them into actionable insights Collaboration with internal cross-functional teams and co-manage complex work streams Flawless management of internal account operations (revenue delivery, media recommendations, troubleshooting issues, optimization opportunities) Act as a consultant for partners, establishing meaningful relationships and driving clients to action Be an active contributor of the regional sales team to contribute to overall team goals and development Open to travel frequentlyMinimum Qualifications Fluency in English and Turkish Mobile App, Gaming or eCommerce hands-on startup, scaleup or enterprise experience Experience as a Facebook, Instagram, WhatsApp and Messenger user and knowledge of Meta's ad products Understanding of attribution modelling /measurement Experience working with tools, analyzing large datasets and delivering actionable insights Practicla knowlegde how to prioritize and manage multiple tasks and projects simultaneously, using tools Experience in managing complex projects and work streams with minimal direction with a high attention to detail Experience working with cross-functional teams Consistently demonstrate level of integrity and ownership Communicate, collaborate and work effectively in a team Consultative selling skills Adapting to changing priorities and requirements, and to pivot quickly when necessaryPreferred Qualifications Designed and built end-to-end systems and launch-plan strategies Experience with coding and Meta APIs Experience with AI prompt engineering, GenAI, Large Language Models (LLMs), Machine Learning (ML), etc Experience communicating technical concepts to non-technical audiences Understanding of ad tech ecosystem and digital media platforms International work experience BA/BS degree in a engineering or marketing fieldAPPLY NOW Find your roleExplore jobs that match your skills and experience. Search by technology, team or location to find an opening that's right for you.
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Metrology Data Scientist - Placement Year SOME IT WORKS. SOME IT CHANGES WHAT'S POSSIBLE SHARE YOUR PASSION More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And that's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. BMW Group Plant Hams Hall is a modern, state-of-the-art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three and four cylinder petrol engines, and precision machining key engine components, the plant has recently celebrated 20 years of successful production. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group's global production network, supplying engines for BMW and MINI, including some of the latest plug-in hybrid vehicles. BMW Hams Hall, Birmingham - Data Scientist - 13 Month Placement (July 2025) Join our Metrology team at BMW Plant Hams Hall for an enriching 13-month Data Science Placement. This role offers a unique blend of responsibilities and opportunities, working with state-of-the-art technologies and complex data systems integral to our production processes. What awaits you? As the recipient of the UK Manufacturer Smart Factory Award 2023, our team provides an unparalleled platform for you to translate your passion for data science into real-world applications within an industry-leading setting. Expect to make a tangible impact and be given the responsibility and freedom to develop your skills in a dynamic, agile environment. Innovative Problem-Solving: Utilize statistical analysis and artificial intelligence to tackle challenges in predictive maintenance and optimize logistics operations. Ownership & Innovation: Engage with our "Fully Connected Digital Twin" to drive innovation and lead projects alongside our dedicated associates. Collaborative Opportunities: Work alongside top external tech companies to spearhead innovation initiatives. Cutting-Edge AI Exploration: Investigate generative AI applications, including the development of a Copilot tool aimed at enhancing operational transparency and efficiency. Advanced Cloud Technology: Enhance your expertise in cloud computing by using platforms and tools from AWS, Azure, and others. What should you bring along? Academic Excellence: Pursuing a degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics, or a related field, with a strong academic record. Communication Skills: Exceptional verbal and written communication abilities. Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking. Database Knowledge: A grasp of using SQL databases is beneficial. Analytical Expertise: Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition. Business Intelligence Insight: Experience with business intelligence or familiarity with low/no code platforms is advantageous. What can you look forward to? Great Pay -A competitive annual salary of£26,600, 26 days holiday per annum (pro rata to your contract)and an attractive pension scheme. Rewarding Work-Life Balance - Contracted working hours are39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance. Exciting Additional Benefits -You will have the opportunity to enjoy other employee benefits, including an on-site gym, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts. What do you need to do now? If you apply, the next stages of the recruiting process include online testing, an in person assessment centre and then a virtual interview with the hiring manager. Please note: To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK. We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation. At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Closing date for applications: Friday 31st October 2025
Oct 31, 2025
Full time
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Metrology Data Scientist - Placement Year SOME IT WORKS. SOME IT CHANGES WHAT'S POSSIBLE SHARE YOUR PASSION More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And that's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. BMW Group Plant Hams Hall is a modern, state-of-the-art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three and four cylinder petrol engines, and precision machining key engine components, the plant has recently celebrated 20 years of successful production. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group's global production network, supplying engines for BMW and MINI, including some of the latest plug-in hybrid vehicles. BMW Hams Hall, Birmingham - Data Scientist - 13 Month Placement (July 2025) Join our Metrology team at BMW Plant Hams Hall for an enriching 13-month Data Science Placement. This role offers a unique blend of responsibilities and opportunities, working with state-of-the-art technologies and complex data systems integral to our production processes. What awaits you? As the recipient of the UK Manufacturer Smart Factory Award 2023, our team provides an unparalleled platform for you to translate your passion for data science into real-world applications within an industry-leading setting. Expect to make a tangible impact and be given the responsibility and freedom to develop your skills in a dynamic, agile environment. Innovative Problem-Solving: Utilize statistical analysis and artificial intelligence to tackle challenges in predictive maintenance and optimize logistics operations. Ownership & Innovation: Engage with our "Fully Connected Digital Twin" to drive innovation and lead projects alongside our dedicated associates. Collaborative Opportunities: Work alongside top external tech companies to spearhead innovation initiatives. Cutting-Edge AI Exploration: Investigate generative AI applications, including the development of a Copilot tool aimed at enhancing operational transparency and efficiency. Advanced Cloud Technology: Enhance your expertise in cloud computing by using platforms and tools from AWS, Azure, and others. What should you bring along? Academic Excellence: Pursuing a degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics, or a related field, with a strong academic record. Communication Skills: Exceptional verbal and written communication abilities. Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking. Database Knowledge: A grasp of using SQL databases is beneficial. Analytical Expertise: Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition. Business Intelligence Insight: Experience with business intelligence or familiarity with low/no code platforms is advantageous. What can you look forward to? Great Pay -A competitive annual salary of£26,600, 26 days holiday per annum (pro rata to your contract)and an attractive pension scheme. Rewarding Work-Life Balance - Contracted working hours are39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance. Exciting Additional Benefits -You will have the opportunity to enjoy other employee benefits, including an on-site gym, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts. What do you need to do now? If you apply, the next stages of the recruiting process include online testing, an in person assessment centre and then a virtual interview with the hiring manager. Please note: To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK. We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation. At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Closing date for applications: Friday 31st October 2025
What awaits you? As the recipient of the UK Manufacturer Smart Factory Award 2023, our Plant provides an unparalleled platform for you to translate your passion for data science into real-world applications within an industry-leading setting. Expect to make a tangible impact and be given the responsibility and freedom to develop your skills in a dynamic, agile environment. Innovative Problem-Solving: Utilize statistical analysis and artificial intelligence to tackle challenges in predictive maintenance and optimize logistics operations. Ownership & Innovation: Engage with our "Fully Connected Digital Twin" to drive innovation and lead projects alongside our dedicated associates. Collaborative Opportunities: Work alongside top external tech companies to spearhead innovation initiatives. Cutting-Edge AI Exploration: Investigate generative AI applications, including the development of a Copilot tool aimed at enhancing operational transparency and efficiency. Advanced Cloud Technology: Enhance your expertise in cloud computing by using platforms and tools from AWS, Azure, and others. What should you bring along? Academic Excellence: Pursuing a degree in Computer Science, Data Science, Engineering, or a related field, and on track to achieve a 2:2 or above. Communication Skills: Exceptional verbal and written communication abilities. Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking. Database Knowledge: A grasp of using SQL databases is beneficial. Analytical Expertise: Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition. Business Intelligence Insight: Experience with business intelligence or familiarity with low/no code platforms is advantageous. What can you look forward to? Great Pay -A competitive annual salary of£26,600, 26 days holiday per annum (pro rata to your contract)and an attractive pension scheme. Rewarding Work-Life Balance - Contracted working hours are39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance. Exciting Additional Benefits -You will have the opportunity to enjoy other employee benefits, including an on-site gym, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts. What do you need to do now? If you apply, the next stages of the recruiting process include online testing, an in person assessment centre and then a virtual interview with the hiring manager. Please note: To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK. We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation. At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Closing date for applications: Sunday 30th November 2025
Oct 31, 2025
Full time
What awaits you? As the recipient of the UK Manufacturer Smart Factory Award 2023, our Plant provides an unparalleled platform for you to translate your passion for data science into real-world applications within an industry-leading setting. Expect to make a tangible impact and be given the responsibility and freedom to develop your skills in a dynamic, agile environment. Innovative Problem-Solving: Utilize statistical analysis and artificial intelligence to tackle challenges in predictive maintenance and optimize logistics operations. Ownership & Innovation: Engage with our "Fully Connected Digital Twin" to drive innovation and lead projects alongside our dedicated associates. Collaborative Opportunities: Work alongside top external tech companies to spearhead innovation initiatives. Cutting-Edge AI Exploration: Investigate generative AI applications, including the development of a Copilot tool aimed at enhancing operational transparency and efficiency. Advanced Cloud Technology: Enhance your expertise in cloud computing by using platforms and tools from AWS, Azure, and others. What should you bring along? Academic Excellence: Pursuing a degree in Computer Science, Data Science, Engineering, or a related field, and on track to achieve a 2:2 or above. Communication Skills: Exceptional verbal and written communication abilities. Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking. Database Knowledge: A grasp of using SQL databases is beneficial. Analytical Expertise: Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition. Business Intelligence Insight: Experience with business intelligence or familiarity with low/no code platforms is advantageous. What can you look forward to? Great Pay -A competitive annual salary of£26,600, 26 days holiday per annum (pro rata to your contract)and an attractive pension scheme. Rewarding Work-Life Balance - Contracted working hours are39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance. Exciting Additional Benefits -You will have the opportunity to enjoy other employee benefits, including an on-site gym, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts. What do you need to do now? If you apply, the next stages of the recruiting process include online testing, an in person assessment centre and then a virtual interview with the hiring manager. Please note: To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK. We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation. At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Closing date for applications: Sunday 30th November 2025
Bayerische Motoren Werke Aktiengesellschaft
Birmingham, Staffordshire
KNOWING WHAT, WHERE, HOW, WHEN AND WHY REQUIRES REAL TALENT, NOT JUST CURIOSITY SHARE YOUR PASSION Intelligent ideas come off the production line non-stop when you have intelligent concepts in place. Long before our premium vehicles reach the road, the delivery of materials from all over the world needs to be set in motion. With expertise and experience, with vision and commitment, with creative solutions and pleasure in effective collaboration. Share your enthusiasm for putting ideas into practice. BMW Group Plant Hams Hall is a modern, state-of-the art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three and four cylinder petrol engines, and precision machining key engine components. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group's global production network, supplying engines for BMW and MINI, including some of the latest plug in hybrid vehicles. We are offering an interesting and challenging position as a Data Scientist in the Supplier Quality Team. This is a 13 month placement based at Plant Hams Hall within the Supplier Quality Department. This role is also linked to the Data Science, Innovation & Digitalisation department where you will be an integral asset to our data and digitalisation strategy. Our manufacturing systems produce significant amounts of data to improve task efficiency and accuracy and to support our business opportunities. BMW Hams Hall, Birmingham - Data Scientist Internship - 13 Month Placement (July 2026) What will you be doing? Working within the Plant's innovation team in an agile project management environment and collaborating with global partners. Data mining, applying statistical methods and predictive analytics on big homogeneous data sets. Developing dashboards and analytical tools. Improving production processes and efficiency using machine learning techniques. What should you bring along? Studying towards a Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics or other quantitative field and on track to achieve a 2:2 or above. Excellent verbal and written communication skills. High intrinsic motivation, creativity, project management skills and entrepreneurial thinking. An interest in automotive engineering and the manufacture of premium power units. Strong programming language skills in one or more of the following (e.g. Python, Java, C#, C++, R). Experience with Excel and data visualisation tools, preferably PowerBI. Understanding of Oracle / SQL databases. Familiar with data mining, machine learning, statistical signal processing and pattern recognition. What can you look forward to? Great Pay - A competitive annual salary of £26,600, 26 days holiday per annum (pro rata to your contract) and an attractive pension scheme. Rewarding Work Life Balance - Contracted working hours are 39 hours a week, with a half day on a Friday, helping you develop a fulfilling work life balance. Exciting Additional Benefits - You will have the opportunity to enjoy other employee benefits, including an on site gym, a subsidised on site restaurant and access to our Advantages scheme which gives you a range of offers and discounts. What do you need to do now? If you apply, the next stages of the recruiting process include online testing, an in person assessment centre and then a virtual interview with the hiring manager. Please note: To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK. We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation. At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Closing date for applications: Friday 31st October 2025
Oct 31, 2025
Full time
KNOWING WHAT, WHERE, HOW, WHEN AND WHY REQUIRES REAL TALENT, NOT JUST CURIOSITY SHARE YOUR PASSION Intelligent ideas come off the production line non-stop when you have intelligent concepts in place. Long before our premium vehicles reach the road, the delivery of materials from all over the world needs to be set in motion. With expertise and experience, with vision and commitment, with creative solutions and pleasure in effective collaboration. Share your enthusiasm for putting ideas into practice. BMW Group Plant Hams Hall is a modern, state-of-the art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three and four cylinder petrol engines, and precision machining key engine components. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group's global production network, supplying engines for BMW and MINI, including some of the latest plug in hybrid vehicles. We are offering an interesting and challenging position as a Data Scientist in the Supplier Quality Team. This is a 13 month placement based at Plant Hams Hall within the Supplier Quality Department. This role is also linked to the Data Science, Innovation & Digitalisation department where you will be an integral asset to our data and digitalisation strategy. Our manufacturing systems produce significant amounts of data to improve task efficiency and accuracy and to support our business opportunities. BMW Hams Hall, Birmingham - Data Scientist Internship - 13 Month Placement (July 2026) What will you be doing? Working within the Plant's innovation team in an agile project management environment and collaborating with global partners. Data mining, applying statistical methods and predictive analytics on big homogeneous data sets. Developing dashboards and analytical tools. Improving production processes and efficiency using machine learning techniques. What should you bring along? Studying towards a Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics or other quantitative field and on track to achieve a 2:2 or above. Excellent verbal and written communication skills. High intrinsic motivation, creativity, project management skills and entrepreneurial thinking. An interest in automotive engineering and the manufacture of premium power units. Strong programming language skills in one or more of the following (e.g. Python, Java, C#, C++, R). Experience with Excel and data visualisation tools, preferably PowerBI. Understanding of Oracle / SQL databases. Familiar with data mining, machine learning, statistical signal processing and pattern recognition. What can you look forward to? Great Pay - A competitive annual salary of £26,600, 26 days holiday per annum (pro rata to your contract) and an attractive pension scheme. Rewarding Work Life Balance - Contracted working hours are 39 hours a week, with a half day on a Friday, helping you develop a fulfilling work life balance. Exciting Additional Benefits - You will have the opportunity to enjoy other employee benefits, including an on site gym, a subsidised on site restaurant and access to our Advantages scheme which gives you a range of offers and discounts. What do you need to do now? If you apply, the next stages of the recruiting process include online testing, an in person assessment centre and then a virtual interview with the hiring manager. Please note: To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK. We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation. At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Closing date for applications: Friday 31st October 2025
Data Scientist II About the Trips Business Unit From our hubs in Manchester, London & Amsterdam our Trips Business Unit helps people get where they want to go anywhere in the world. Whether customers want the freedom of a car, the convenience of a flight, the ease of a taxi, the economy of public transport or an endless variety of exciting activities, we make it all possible. Our team is passionate about helping people travel. They see challenges as opportunities. And they're always ready for change. We're passionate about the connected trip. We seek to offer our customers the best and most relevant products for their trip, with a booking experience to match. We cater for customers that are just starting their research and those that are complementing their existing journey. We do this by keeping the customer front of mind in all decisions, tailoring our inventory & pricing options to ensure you're able to book the best product for your needs at the best price possible. Role Overview This data scientist II role is the core DS level within booking - it is not an entry level role so we are looking for a candidate with relevant experience of utilising data science skills within a commercial environment. As a Data Scientist II, you will be working within the Trips Data Science & Analytics (DS&A) team, reporting directly to the Senior Manager of DS&A in Manchester. You will be involved in various stages of data science solutions, from ideation to implementation. You will be working independently on data consumption and preparation, effectively solving business problems through statistical data analysis and modeling. This role involves looking across the full spectrum of our trips products, considering how we might improve the customer experience by combining data from multiple sources. As a Data Scientist II you are expected to continuously learn, expand your technical competencies, engage with peers, and understand the larger data ecosystem and the goals for Trips as a whole. You are also responsible for ensuring the quality of your work through peer review. The successful candidate will collaborate with the wider trips DS&A across the trips verticals, helping steer decision making through relevant and actionable data insights & innovative new ways of looking at our business. You will be closely collaborating with other data scientists, analysts & machine learning scientists to develop strategic insights, uncover growth opportunities, and identify key drivers of booking trends. Join us and help us solve critical business problems and questions, to help users plan and book their best trip in the most seamless way possible. Key Job Responsibilities and Duties The role will primarily involve supporting the trips teams through innovative insights & recommendations. Partner with commercial, data engineering and product teams to develop new methods for understanding how our business decisions impact our customers. Understand the vision and strategy of product optimisation activities and develop and own data science roadmaps in order to execute. Develop knowledge and awareness of trips economics in order to drive and influence the product roadmap across both product & commercial functions. Look outside of the immediate short term Connected Trip perspectives, determining & optimising for long term metrics. You will work closely with the product & engineering, data management & data engineering teams to support our product vision. Strong skills in stakeholder management and business acumen will ensure your work is impactful and can influence the business decisions of your stakeholders. Responsible for providing data science support to our product stakeholders, to enable them to make data-driven decisions Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making Responsible for designing & delivering entire data science solutions working closely with product and research teams Continuously review product engagement and performance, generate insights and provide hypotheses for newer experimentation to drive product growth Implement learnings in replicating product success to other areas within Intent Discovery and Platform Role Qualifications and Requirements Proven experience working in Data Science roles; advanced degree preferred (Statistics, Econometrics, Applied Mathematics, or similar) (mandatory) Strong background in ranking / economics Strong working knowledge of statistics (mandatory) Descriptive Statistics Standard Deviation, Skewness etc. Inferential Statistics Hypothesis testing Confidence intervals, p-values, Correlation vs Causation Type I and Type II errors Strong working knowledge of Experimentation (mandatory) A/B testing Power analysis & sample size determination Familiarity with biases in experimentation. Strong working knowledge of SQL and at least one scripting language (Python or R) (mandatory) Analytical, strategic, humble, entrepreneurial, and data-driven (mandatory) Comfortable interacting with stakeholders throughout the global organization (mandatory) Strong communication and presentation skills (mandatory) Very strong commercial acumen (mandatory) Flexibility to accommodate change and thrive in ambiguity (mandatory) Familiarity with optimisation techniques. Diversity, Equity and Inclusion (DEI) at Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: "At the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech." We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Application Process Let's go places together: How we Hire The interview process entails: This role does not come with relocation assistance. is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.
Oct 31, 2025
Full time
Data Scientist II About the Trips Business Unit From our hubs in Manchester, London & Amsterdam our Trips Business Unit helps people get where they want to go anywhere in the world. Whether customers want the freedom of a car, the convenience of a flight, the ease of a taxi, the economy of public transport or an endless variety of exciting activities, we make it all possible. Our team is passionate about helping people travel. They see challenges as opportunities. And they're always ready for change. We're passionate about the connected trip. We seek to offer our customers the best and most relevant products for their trip, with a booking experience to match. We cater for customers that are just starting their research and those that are complementing their existing journey. We do this by keeping the customer front of mind in all decisions, tailoring our inventory & pricing options to ensure you're able to book the best product for your needs at the best price possible. Role Overview This data scientist II role is the core DS level within booking - it is not an entry level role so we are looking for a candidate with relevant experience of utilising data science skills within a commercial environment. As a Data Scientist II, you will be working within the Trips Data Science & Analytics (DS&A) team, reporting directly to the Senior Manager of DS&A in Manchester. You will be involved in various stages of data science solutions, from ideation to implementation. You will be working independently on data consumption and preparation, effectively solving business problems through statistical data analysis and modeling. This role involves looking across the full spectrum of our trips products, considering how we might improve the customer experience by combining data from multiple sources. As a Data Scientist II you are expected to continuously learn, expand your technical competencies, engage with peers, and understand the larger data ecosystem and the goals for Trips as a whole. You are also responsible for ensuring the quality of your work through peer review. The successful candidate will collaborate with the wider trips DS&A across the trips verticals, helping steer decision making through relevant and actionable data insights & innovative new ways of looking at our business. You will be closely collaborating with other data scientists, analysts & machine learning scientists to develop strategic insights, uncover growth opportunities, and identify key drivers of booking trends. Join us and help us solve critical business problems and questions, to help users plan and book their best trip in the most seamless way possible. Key Job Responsibilities and Duties The role will primarily involve supporting the trips teams through innovative insights & recommendations. Partner with commercial, data engineering and product teams to develop new methods for understanding how our business decisions impact our customers. Understand the vision and strategy of product optimisation activities and develop and own data science roadmaps in order to execute. Develop knowledge and awareness of trips economics in order to drive and influence the product roadmap across both product & commercial functions. Look outside of the immediate short term Connected Trip perspectives, determining & optimising for long term metrics. You will work closely with the product & engineering, data management & data engineering teams to support our product vision. Strong skills in stakeholder management and business acumen will ensure your work is impactful and can influence the business decisions of your stakeholders. Responsible for providing data science support to our product stakeholders, to enable them to make data-driven decisions Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making Responsible for designing & delivering entire data science solutions working closely with product and research teams Continuously review product engagement and performance, generate insights and provide hypotheses for newer experimentation to drive product growth Implement learnings in replicating product success to other areas within Intent Discovery and Platform Role Qualifications and Requirements Proven experience working in Data Science roles; advanced degree preferred (Statistics, Econometrics, Applied Mathematics, or similar) (mandatory) Strong background in ranking / economics Strong working knowledge of statistics (mandatory) Descriptive Statistics Standard Deviation, Skewness etc. Inferential Statistics Hypothesis testing Confidence intervals, p-values, Correlation vs Causation Type I and Type II errors Strong working knowledge of Experimentation (mandatory) A/B testing Power analysis & sample size determination Familiarity with biases in experimentation. Strong working knowledge of SQL and at least one scripting language (Python or R) (mandatory) Analytical, strategic, humble, entrepreneurial, and data-driven (mandatory) Comfortable interacting with stakeholders throughout the global organization (mandatory) Strong communication and presentation skills (mandatory) Very strong commercial acumen (mandatory) Flexibility to accommodate change and thrive in ambiguity (mandatory) Familiarity with optimisation techniques. Diversity, Equity and Inclusion (DEI) at Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: "At the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech." We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Application Process Let's go places together: How we Hire The interview process entails: This role does not come with relocation assistance. is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.
Overview Description Solution Architect Location: Farnborough, UK (Hybrid Working Policy) Clearance: High level of security clearance - DV Developed Vetting UNLEASH YOUR POTENTIAL As the Programme Solution Architect (SA) you will provide technical leadership and Solution Architecture services across all delivery aspects of the programme. The role covers six key areas: Provide solution oversight and assurance for the programme. Own and maintain all High-Level Design artefacts and associated client-facing architecture and design materials. Function as solution lead for all Change Requests raised by the customer. Maintain the technical strategy and roadmap for the programme. Work with the programme leadership including the Programme Manager, Chief Engineer, Service and Security Leads to ensure the successful execution of the programme. Develop and maintain a "trusted advisor" relationship with the customer technical, programme and end-user leadership to ensure shared objectives are aligned and sustained. Your Role and Responsibilities The successful candidate is expected to have broad knowledge of a range of technical capabilities and technologies including hardware, software, data, networks, cloud, IT services and cyber security. In addition, the Programme Solution Architect will form part of a wider National Security & Defence Divisional Solution Architect team. They will be expected to contribute to this function through sharing knowledge and experience in pursuit of both programme delivery and wider solution growth activities for the business. This will take many forms including solution peer review, solution and R&D idea input, white papers, team briefings and other technical exchanges. Programme Solution Architect scope: The Programme Solution Architect is responsible for solution planning and leadership covering system hardware-software-network design, development and integration, verification and validation, and delivery working in partnership with the Programme Chief Engineer. As programme scope and understanding evolves the Programme Solution Architect will be expected to evaluate alternative solution elements and consider not just scope but cost and risk, supportability and end-to-end analysis to ensure sustained programme success. Specific duties and areas of impact for the Solution Architect include performing systems requirements analysis, functional analysis, timeline analysis, trade studies, requirements allocation and interface definition, technical management, integration, system testing, and quality assurance. Influences development of solutions that impact programme goals and results. Recommends and develops new technical solutions, products, and/or approaches in support of the programme scope and operation. Leads and manages work of other technical staff where it has significant impact on solution and technical deliverables. Resolves highly complex problems using significant application of technical knowledge, conceptualizing, reasoning and interpretation. Develops solutions that are innovative and achieved through research and integration of best practices. Communicates with executive leadership (internally or client) regarding matters of significant importance to the programme. Works to convince others to accept and agree new concepts, solutions and approaches to the benefit of programme delivery. Has in-depth understanding of technical principles, theories, concepts and their application across a range of contexts and scenarios. Serves as a subject matter expert within relevant technical domain areas. What does Leidos need from me? Experience in defining and maintaining the appropriate technical solution for the programme. This involves engaging business stakeholders to understand their needs, justifying the strategy to get approvals, communicating it to the business and supporting the assurance of solutions designed to ensure it is followed. In-depth understanding of technology and technical principles, theories, concepts and their application across range of programmes and contexts. Knowledge and experience of core IT capabilities including Cloud, Infrastructure & Networks, Application including development, Data including database, analytics, AI and ML, ITSM including ITIL, Cyber Security, Automation. Highly skilled at solutioning and designing complex mission critical systems and services which meet customer needs whilst remaining implementable within schedule and budget. Excellent communications skills to engage with executive leadership articulating and justifying investment proposals and to provide technical direction and leadership to the programme. Excellent written and presentation communication skills. Experience conducting technical solution reviews for large programmes and bids to ensure their success. Experience of the Defence domain is highly desirable. Clearance Requirements: This role will require Developed Vetting (DV) Security Clearance. Those candidates without DV must be suitable for the process and will be required to commence application immediately upon successful application. Location: The Programme Solution Architect will be expected to be work from the Leidos Farnborough office for the majority of the time with occasional travel to customer locations and working from home. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme • Private Medical Insurance • 33 days Annual Leave (including public and privilege holidays) • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) • Access to Flexi-time benefits Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now." If you're already scheming step 20 while everyone else is still debating step 2 good. You'll fit right in. Original Posting For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range £74,700.00-£98,300.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Oct 31, 2025
Full time
Overview Description Solution Architect Location: Farnborough, UK (Hybrid Working Policy) Clearance: High level of security clearance - DV Developed Vetting UNLEASH YOUR POTENTIAL As the Programme Solution Architect (SA) you will provide technical leadership and Solution Architecture services across all delivery aspects of the programme. The role covers six key areas: Provide solution oversight and assurance for the programme. Own and maintain all High-Level Design artefacts and associated client-facing architecture and design materials. Function as solution lead for all Change Requests raised by the customer. Maintain the technical strategy and roadmap for the programme. Work with the programme leadership including the Programme Manager, Chief Engineer, Service and Security Leads to ensure the successful execution of the programme. Develop and maintain a "trusted advisor" relationship with the customer technical, programme and end-user leadership to ensure shared objectives are aligned and sustained. Your Role and Responsibilities The successful candidate is expected to have broad knowledge of a range of technical capabilities and technologies including hardware, software, data, networks, cloud, IT services and cyber security. In addition, the Programme Solution Architect will form part of a wider National Security & Defence Divisional Solution Architect team. They will be expected to contribute to this function through sharing knowledge and experience in pursuit of both programme delivery and wider solution growth activities for the business. This will take many forms including solution peer review, solution and R&D idea input, white papers, team briefings and other technical exchanges. Programme Solution Architect scope: The Programme Solution Architect is responsible for solution planning and leadership covering system hardware-software-network design, development and integration, verification and validation, and delivery working in partnership with the Programme Chief Engineer. As programme scope and understanding evolves the Programme Solution Architect will be expected to evaluate alternative solution elements and consider not just scope but cost and risk, supportability and end-to-end analysis to ensure sustained programme success. Specific duties and areas of impact for the Solution Architect include performing systems requirements analysis, functional analysis, timeline analysis, trade studies, requirements allocation and interface definition, technical management, integration, system testing, and quality assurance. Influences development of solutions that impact programme goals and results. Recommends and develops new technical solutions, products, and/or approaches in support of the programme scope and operation. Leads and manages work of other technical staff where it has significant impact on solution and technical deliverables. Resolves highly complex problems using significant application of technical knowledge, conceptualizing, reasoning and interpretation. Develops solutions that are innovative and achieved through research and integration of best practices. Communicates with executive leadership (internally or client) regarding matters of significant importance to the programme. Works to convince others to accept and agree new concepts, solutions and approaches to the benefit of programme delivery. Has in-depth understanding of technical principles, theories, concepts and their application across a range of contexts and scenarios. Serves as a subject matter expert within relevant technical domain areas. What does Leidos need from me? Experience in defining and maintaining the appropriate technical solution for the programme. This involves engaging business stakeholders to understand their needs, justifying the strategy to get approvals, communicating it to the business and supporting the assurance of solutions designed to ensure it is followed. In-depth understanding of technology and technical principles, theories, concepts and their application across range of programmes and contexts. Knowledge and experience of core IT capabilities including Cloud, Infrastructure & Networks, Application including development, Data including database, analytics, AI and ML, ITSM including ITIL, Cyber Security, Automation. Highly skilled at solutioning and designing complex mission critical systems and services which meet customer needs whilst remaining implementable within schedule and budget. Excellent communications skills to engage with executive leadership articulating and justifying investment proposals and to provide technical direction and leadership to the programme. Excellent written and presentation communication skills. Experience conducting technical solution reviews for large programmes and bids to ensure their success. Experience of the Defence domain is highly desirable. Clearance Requirements: This role will require Developed Vetting (DV) Security Clearance. Those candidates without DV must be suitable for the process and will be required to commence application immediately upon successful application. Location: The Programme Solution Architect will be expected to be work from the Leidos Farnborough office for the majority of the time with occasional travel to customer locations and working from home. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme • Private Medical Insurance • 33 days Annual Leave (including public and privilege holidays) • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) • Access to Flexi-time benefits Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now." If you're already scheming step 20 while everyone else is still debating step 2 good. You'll fit right in. Original Posting For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range £74,700.00-£98,300.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
WHO WE ARE At Proxima Fusion, we're driven by a bold mission - to redefine the future of sustainable energy. Our unique concept, built upon the groundbreaking W7-X stellarator and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity, we're building a team of extremely dedicated and passionate people who come together driving something extraordinary, radically transforming technology in the world. WHY JOIN PROXIMA FUSION You will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world You'll get to join and learn from an exceptional selection of accomplished and driven individuals. Do your life's best work and enjoy the journey Get to show that big things are possible in Europe when you assemble the best talent YOUR IMPACT As a Recruiter, you'll be joining Proxima Fusion's People team during a pivotal period of growth. You'll be responsible for identifying, attracting, and hiring world-class talent, ensuring each new joiner is not just a fit for today but a multiplier for the future. Your work will shape the caliber of the company and directly influence our ability to deliver fusion energy to the world. Hence, being a Recruiter during our hyper-growth stages towards building a fusion power plant will not be a walk in the park, but will require dedication, hard work and thinking outside of the box so that we continue building an outstanding team. This is what makes this role special - it will stretch you and help you grow professionally. WHAT YOU WILL DO Own and execute full-cycle recruitment for critical roles across engineering, science, operations, etc. Partner closely with hiring managers to define hiring needs,build unique sourcing strategies beyond LinkedIn, and deliver top-tier candidates. Drive top-of-funnel strategy: proactively source and engage exceptional passive talent globally via recruitment events, conferences and talent communities. Champion an outstanding candidate experience at every touchpoint. Track, improve, and automate recruitment workflows and tooling to keep us fast, organized, and effective. Build a high-trust, high-rigor process that supports scaling without compromising on quality. Beyond filling roles, manage TA projects such as implementing a new system, or improving our process, or delivering interview training. WHO YOU ARE You bring hands-on experience in full-cycle recruitment in a startup or scale-up, and have worked on technical and non technical roles including niche and difficult roles internationally. You are used to hiring at a very high talent bar having to work with very selective hiring teams. You thrive in fast-paced, high-stakes environments and take ownership very seriously. You're deeply motivated by quality-your standards are high and you won't settle for less. You have exceptional sourcing instincts and know how to identify talent others might overlook. You think outside of the box especially when it comes to talent sourcing and attraction, using LinkedIn as one of the tools in your toolbox. You've done and can do much more than that especially when it comes to events, talent communities and conferences. You're organized, autonomous, and eager to improve systems and processes that scale. You communicate clearly, act decisively, and work well with demanding stakeholders. You're truly excited to help build something audacious from the ground up. INTERVIEW PROCESS Recruiter Interview (30-45 min) Panel Interviews (3 rounds, 60 min each) CEO Call (30 min) At Proxima Fusion, our mission is bold: making limitless clean energy a reality. To get there, we need a high-performing, diverse team that brings different perspectives, challenges assumptions, and builds together with purpose. We know that diversity of thought and experience leads to better ideas, stronger execution, and a more resilient team. We don't look at how you identify, what you look like, who you choose to worship or what ethnicity you are. We care about what you can bring to the table.
Oct 31, 2025
Full time
WHO WE ARE At Proxima Fusion, we're driven by a bold mission - to redefine the future of sustainable energy. Our unique concept, built upon the groundbreaking W7-X stellarator and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity, we're building a team of extremely dedicated and passionate people who come together driving something extraordinary, radically transforming technology in the world. WHY JOIN PROXIMA FUSION You will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world You'll get to join and learn from an exceptional selection of accomplished and driven individuals. Do your life's best work and enjoy the journey Get to show that big things are possible in Europe when you assemble the best talent YOUR IMPACT As a Recruiter, you'll be joining Proxima Fusion's People team during a pivotal period of growth. You'll be responsible for identifying, attracting, and hiring world-class talent, ensuring each new joiner is not just a fit for today but a multiplier for the future. Your work will shape the caliber of the company and directly influence our ability to deliver fusion energy to the world. Hence, being a Recruiter during our hyper-growth stages towards building a fusion power plant will not be a walk in the park, but will require dedication, hard work and thinking outside of the box so that we continue building an outstanding team. This is what makes this role special - it will stretch you and help you grow professionally. WHAT YOU WILL DO Own and execute full-cycle recruitment for critical roles across engineering, science, operations, etc. Partner closely with hiring managers to define hiring needs,build unique sourcing strategies beyond LinkedIn, and deliver top-tier candidates. Drive top-of-funnel strategy: proactively source and engage exceptional passive talent globally via recruitment events, conferences and talent communities. Champion an outstanding candidate experience at every touchpoint. Track, improve, and automate recruitment workflows and tooling to keep us fast, organized, and effective. Build a high-trust, high-rigor process that supports scaling without compromising on quality. Beyond filling roles, manage TA projects such as implementing a new system, or improving our process, or delivering interview training. WHO YOU ARE You bring hands-on experience in full-cycle recruitment in a startup or scale-up, and have worked on technical and non technical roles including niche and difficult roles internationally. You are used to hiring at a very high talent bar having to work with very selective hiring teams. You thrive in fast-paced, high-stakes environments and take ownership very seriously. You're deeply motivated by quality-your standards are high and you won't settle for less. You have exceptional sourcing instincts and know how to identify talent others might overlook. You think outside of the box especially when it comes to talent sourcing and attraction, using LinkedIn as one of the tools in your toolbox. You've done and can do much more than that especially when it comes to events, talent communities and conferences. You're organized, autonomous, and eager to improve systems and processes that scale. You communicate clearly, act decisively, and work well with demanding stakeholders. You're truly excited to help build something audacious from the ground up. INTERVIEW PROCESS Recruiter Interview (30-45 min) Panel Interviews (3 rounds, 60 min each) CEO Call (30 min) At Proxima Fusion, our mission is bold: making limitless clean energy a reality. To get there, we need a high-performing, diverse team that brings different perspectives, challenges assumptions, and builds together with purpose. We know that diversity of thought and experience leads to better ideas, stronger execution, and a more resilient team. We don't look at how you identify, what you look like, who you choose to worship or what ethnicity you are. We care about what you can bring to the table.
