We want you to ! For 30 years we've been independently developing and publishing incredible video games at our multiple studios founded by Jason & Chris Kingsley, but Rebellion is more than just games. We have our own film studio, we create board games, publish books, and through 2000AD, publish comics and graphic novels such as the amazing Judge Dredd. We're seeking a skilled and innovative Machine Learning Engineer to join our cutting edge ML Team. You'll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming. This mid level position is ideal for someone ready to take ownership of projects, mentor junior engineers, and deliver impactful solutions that help shape the future of our game products. In this role, you'll work closely with the Head of Machine Learning and our ML Engineers to create, design, develop, and optimise ML/DL systems that: Generate game levels and 3D worlds. Enhance our game products. Develop custom tools for our teams. Integrate ML and deep learning (DL) models into our production workflows and real time gaming environments. You'll be hands on from research through deployment, exploring state of the art advancements, running experiments, refining algorithms, and ensuring scalable, high performance solutions. You'll work with complex datasets, including tabular, imagery, 3D point clouds, and proprietary game data. This role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere where teamwork drives our success. We can provide a relocation package, including moving assistance, temporary accommodation, and full support to ensure a smooth transition to your new environment. We believe in the power of face to face collaboration and encourage working from our Oxford headquarters. However, we understand that flexibility matters, so we're open to discussing hybrid options. Key Responsibilities: Implementation, and optimisation of ML algorithms and tools for game level generation and enhancement. Collaborate with cross disciplinary teams (art, design, code) to integrate ML models into real time game workflows. Conduct and direct experiments to improve accuracy, performance, and scalability of ML/DL models. Manage and maintain ML systems, libraries, and pipelines, ensuring robust deployment into production. Analyse diverse datasets to inform model architecture and feature engineering. Stay current with state of the art ML/DL research and evaluate new technologies for practical application. Mentor and guide junior ML engineers, sharing best practices and reviewing their work. Present technical findings, progress, and recommendations to stakeholders and leadership. MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus. Proficiency in Python and C++ with a proven track record of delivering robust, scalable ML systems. Professional experience as a Machine Learning Engineer or similar role, with expertise in machine learning algorithms and statistical methods. Hands on experience with supervised, unsupervised, semi supervised, and reinforcement learning; 3D ML/DL exposure is highly desirable. Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows. Outstanding problem solving and analytical capabilities, coupled with the ability to work autonomously and collaborate effectively with other disciplines. We offer an extensive benefits package to our team including: 22 days holidays + Christmas closure (typically 4 days) & Bank holidays (increasing with service at 5 years - one day each year until you reach 31 days) Private Medical Insurance, healthcare cash plan, including dental and Vision Life Assurance, Income Protection & Critical Illness Cover Enhanced Family Leave Interest Free, Tax-Free loans Enhanced Pension Scheme EAP a range of Mental Health and Wellbeing Support Plus loads more including a wide range of discounts, freebies, and social events! Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship. Life at Our Oxford HQ Our riverside headquarters in Oxford places you a short walk away from the city centre. Renowned for its rich historical backdrop and esteemed educational institutions, Oxford offers a unique blend of tradition and modernity, with its beautiful architecture and green spaces. Oxford also boasts excellent transport links, making it easy to navigate both the city and the wider country. The city's train station, just a short walk from our studio, offers frequent services to London, as well as direct routes to major cities like Birmingham, Manchester, and Reading and we also offer free parking at the studio. Our open plan office promotes teamwork and innovation, with regular interaction with senior management and other departments, alongside access to free hot drinks, a handy tuck shop onsite and a range of local pubs, cafes and dining options nearby helping make every workday enjoyable! Inside Rebellion Whichever team you join at Rebellion we are proud of our open, friendly, and creative atmosphere. We love what we do, and we have fun doing it! As a big indie developer, we have complete creative freedom over our titles which allows us to work on a massive variety of projects across all the major platforms. Find out more about us here Our size, stability, and the variety of in house expertise across multiple industries, makes Rebellion completely unique! We work in our own way, and we celebrate that as the key to our success. We foster an inclusive culture where you are encouraged to be yourself, to express your creativity and your talent. We are people focused and will support you in every way to can be the best at what you do. We recognise the importance of enjoying what you do and having a healthy work life balance. We offer a friendly, creative, and relaxed working atmosphere, with sensibly managed projects and a wide variety of benefits and development opportunities for all our teams to ensure you are fully supported with your physical and Mental Well being. We are actively recruiting for a diverse team and continue to add to our culture of growth and inclusion. Rebellion encourages innovation in all areas, and we look forward to hearing how you can help us to be better. We encourage all demographics of culture, gender, ethnicity, neurodiversity and beyond, because a representative team makes better products. If you are interested in working at Rebellion, but this role doesn't sound quite like you, we're recruiting for a range of positions across the studio and we're always happy to receive speculative applications via our website. Visit our Careers website to view all our live vacancies: Rebellion: Careers
Jan 22, 2026
Full time
We want you to ! For 30 years we've been independently developing and publishing incredible video games at our multiple studios founded by Jason & Chris Kingsley, but Rebellion is more than just games. We have our own film studio, we create board games, publish books, and through 2000AD, publish comics and graphic novels such as the amazing Judge Dredd. We're seeking a skilled and innovative Machine Learning Engineer to join our cutting edge ML Team. You'll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming. This mid level position is ideal for someone ready to take ownership of projects, mentor junior engineers, and deliver impactful solutions that help shape the future of our game products. In this role, you'll work closely with the Head of Machine Learning and our ML Engineers to create, design, develop, and optimise ML/DL systems that: Generate game levels and 3D worlds. Enhance our game products. Develop custom tools for our teams. Integrate ML and deep learning (DL) models into our production workflows and real time gaming environments. You'll be hands on from research through deployment, exploring state of the art advancements, running experiments, refining algorithms, and ensuring scalable, high performance solutions. You'll work with complex datasets, including tabular, imagery, 3D point clouds, and proprietary game data. This role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere where teamwork drives our success. We can provide a relocation package, including moving assistance, temporary accommodation, and full support to ensure a smooth transition to your new environment. We believe in the power of face to face collaboration and encourage working from our Oxford headquarters. However, we understand that flexibility matters, so we're open to discussing hybrid options. Key Responsibilities: Implementation, and optimisation of ML algorithms and tools for game level generation and enhancement. Collaborate with cross disciplinary teams (art, design, code) to integrate ML models into real time game workflows. Conduct and direct experiments to improve accuracy, performance, and scalability of ML/DL models. Manage and maintain ML systems, libraries, and pipelines, ensuring robust deployment into production. Analyse diverse datasets to inform model architecture and feature engineering. Stay current with state of the art ML/DL research and evaluate new technologies for practical application. Mentor and guide junior ML engineers, sharing best practices and reviewing their work. Present technical findings, progress, and recommendations to stakeholders and leadership. MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus. Proficiency in Python and C++ with a proven track record of delivering robust, scalable ML systems. Professional experience as a Machine Learning Engineer or similar role, with expertise in machine learning algorithms and statistical methods. Hands on experience with supervised, unsupervised, semi supervised, and reinforcement learning; 3D ML/DL exposure is highly desirable. Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows. Outstanding problem solving and analytical capabilities, coupled with the ability to work autonomously and collaborate effectively with other disciplines. We offer an extensive benefits package to our team including: 22 days holidays + Christmas closure (typically 4 days) & Bank holidays (increasing with service at 5 years - one day each year until you reach 31 days) Private Medical Insurance, healthcare cash plan, including dental and Vision Life Assurance, Income Protection & Critical Illness Cover Enhanced Family Leave Interest Free, Tax-Free loans Enhanced Pension Scheme EAP a range of Mental Health and Wellbeing Support Plus loads more including a wide range of discounts, freebies, and social events! Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship. Life at Our Oxford HQ Our riverside headquarters in Oxford places you a short walk away from the city centre. Renowned for its rich historical backdrop and esteemed educational institutions, Oxford offers a unique blend of tradition and modernity, with its beautiful architecture and green spaces. Oxford also boasts excellent transport links, making it easy to navigate both the city and the wider country. The city's train station, just a short walk from our studio, offers frequent services to London, as well as direct routes to major cities like Birmingham, Manchester, and Reading and we also offer free parking at the studio. Our open plan office promotes teamwork and innovation, with regular interaction with senior management and other departments, alongside access to free hot drinks, a handy tuck shop onsite and a range of local pubs, cafes and dining options nearby helping make every workday enjoyable! Inside Rebellion Whichever team you join at Rebellion we are proud of our open, friendly, and creative atmosphere. We love what we do, and we have fun doing it! As a big indie developer, we have complete creative freedom over our titles which allows us to work on a massive variety of projects across all the major platforms. Find out more about us here Our size, stability, and the variety of in house expertise across multiple industries, makes Rebellion completely unique! We work in our own way, and we celebrate that as the key to our success. We foster an inclusive culture where you are encouraged to be yourself, to express your creativity and your talent. We are people focused and will support you in every way to can be the best at what you do. We recognise the importance of enjoying what you do and having a healthy work life balance. We offer a friendly, creative, and relaxed working atmosphere, with sensibly managed projects and a wide variety of benefits and development opportunities for all our teams to ensure you are fully supported with your physical and Mental Well being. We are actively recruiting for a diverse team and continue to add to our culture of growth and inclusion. Rebellion encourages innovation in all areas, and we look forward to hearing how you can help us to be better. We encourage all demographics of culture, gender, ethnicity, neurodiversity and beyond, because a representative team makes better products. If you are interested in working at Rebellion, but this role doesn't sound quite like you, we're recruiting for a range of positions across the studio and we're always happy to receive speculative applications via our website. Visit our Careers website to view all our live vacancies: Rebellion: Careers
AI SOLUTIONS LEAD - PERMANENT - LONDON Must hold or be eligible for SC Clearance The Role Requirements Solution Design Lead the end-to-end design of Microsoft AI-driven business solutions. Translate complex business challenges into scalable, secure, and high-performing architectures. Collaborate with clients, delivery teams, to define solution roadmaps and strategies. Ensure alignment with enterprise architecture, data governance, and security standards. Product Leadership Serve as a subject-matter expert on AI capabilities. Guide clients in selecting and adopting the right AI tools for their business needs. Stay ahead of product updates and roadmap to advise on innovation opportunities. Lead demos, proof-of-concepts, and workshops to showcase value and drive adoption. Act as a trusted advisor to senior stakeholders, shaping AI strategy and solution vision. Support pre-sales activities including proposals, solutions, and client presentations. Oversee delivery quality, ensuring solutions meet business objectives and technical excellence. Mentor and coach junior consultants within the practice. Operational Excellence Champion high-quality solution design standards and best practices. Proactively manage capacity, skills, and resource availability. Contribute to practice development-operations, recruitment, and team initiatives. Execute operational tasks with precision to enable smooth delivery. Advocate for the growth of the practice and broader community engagement. What you will need to succeed MS Technology Solutions Consulting Expertise 6+ years in consulting, product, or technical advisory roles. Demonstrate strong sales and pre-sales experience, with a clear ability to engage clients and manage relationships. Proven experience in designing and delivering AI or data solutions. Demonstrate a consultative approach, with evidence of understanding client pain points and delivering business-focused solutions. Strong experience with Microsoft AI Capabilities - Copilot Studio, agentic. Ability to demonstrate awareness of the latest Microsoft AI product roadmap or best practices, especially around Copilot Studio. Articulate evidence of experience with end-to-end solution design and delivery for complex Microsoft AI projects at scale. Skilled at bridging business and technical domains with excellent communication and consulting skills. Provide structured data-driven responses to technical and analytical questions. Articulate business value and outcomes, especially in the context of AI-driven process improvements. Functional expertise in AI technologies, business processes, and cloud deployment. Innovative mindset with the ability to solve complex business and technical challenges. Leadership Experience Experienced in managing client and partner relationships, driving value and successful outcomes. Skilled at leading and mentoring teams, ensuring performance and growth. Confident in delivering impactful hybrid presentations and workshops to senior leaders. Certifications Advanced degree (M.Sc., MBA, or PhD) in Computer Science, Engineering, Finance, or Business. Microsoft certifications across Microsoft 365, Dynamics 365, Power Platform, Copilot, SharePoint, Azure, Fabric (highly desirable). Product, Solution, and/or Delivery certifications preferred. SC Clearance. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Jan 22, 2026
Full time
AI SOLUTIONS LEAD - PERMANENT - LONDON Must hold or be eligible for SC Clearance The Role Requirements Solution Design Lead the end-to-end design of Microsoft AI-driven business solutions. Translate complex business challenges into scalable, secure, and high-performing architectures. Collaborate with clients, delivery teams, to define solution roadmaps and strategies. Ensure alignment with enterprise architecture, data governance, and security standards. Product Leadership Serve as a subject-matter expert on AI capabilities. Guide clients in selecting and adopting the right AI tools for their business needs. Stay ahead of product updates and roadmap to advise on innovation opportunities. Lead demos, proof-of-concepts, and workshops to showcase value and drive adoption. Act as a trusted advisor to senior stakeholders, shaping AI strategy and solution vision. Support pre-sales activities including proposals, solutions, and client presentations. Oversee delivery quality, ensuring solutions meet business objectives and technical excellence. Mentor and coach junior consultants within the practice. Operational Excellence Champion high-quality solution design standards and best practices. Proactively manage capacity, skills, and resource availability. Contribute to practice development-operations, recruitment, and team initiatives. Execute operational tasks with precision to enable smooth delivery. Advocate for the growth of the practice and broader community engagement. What you will need to succeed MS Technology Solutions Consulting Expertise 6+ years in consulting, product, or technical advisory roles. Demonstrate strong sales and pre-sales experience, with a clear ability to engage clients and manage relationships. Proven experience in designing and delivering AI or data solutions. Demonstrate a consultative approach, with evidence of understanding client pain points and delivering business-focused solutions. Strong experience with Microsoft AI Capabilities - Copilot Studio, agentic. Ability to demonstrate awareness of the latest Microsoft AI product roadmap or best practices, especially around Copilot Studio. Articulate evidence of experience with end-to-end solution design and delivery for complex Microsoft AI projects at scale. Skilled at bridging business and technical domains with excellent communication and consulting skills. Provide structured data-driven responses to technical and analytical questions. Articulate business value and outcomes, especially in the context of AI-driven process improvements. Functional expertise in AI technologies, business processes, and cloud deployment. Innovative mindset with the ability to solve complex business and technical challenges. Leadership Experience Experienced in managing client and partner relationships, driving value and successful outcomes. Skilled at leading and mentoring teams, ensuring performance and growth. Confident in delivering impactful hybrid presentations and workshops to senior leaders. Certifications Advanced degree (M.Sc., MBA, or PhD) in Computer Science, Engineering, Finance, or Business. Microsoft certifications across Microsoft 365, Dynamics 365, Power Platform, Copilot, SharePoint, Azure, Fabric (highly desirable). Product, Solution, and/or Delivery certifications preferred. SC Clearance. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Computer Science Teacher / Computer Science ECTIn the heart of Tower Hamlets, an 'Outstanding' Secondary School is looking to appoint a Computer Science Teacher / Computer Science ECT for a September 2026 start. This is a permanent, full-time position.The Head Teacher is seeking an ambitious Computer Science Teacher who is eager to add value to a growing department. The school is known for supportive SLT, strong outcomes, and a calm, purposeful learning culture. Why join this school? Outstanding leadership: a true "work with staff, not against them" cultureKS3-KS5 (excellent uptake at GCSE & A Level)£2,000 retention bonus (per year)Centralised detentions and strong behaviour systemsModern marking policy (no books home)Protected PPA + shared resources across the departmentExcellent transport links across East LondonExperienced Computer Science Teachers can access TLR opportunities (e.g. KS3 Coordinator, Digital Lead/Computing Lead, Pastoral). ECTs will benefit from a bespoke induction, including 1:1 mentoring and weekly coaching. JOB DESCRIPTION Computer Science Teacher / Computer Science ECTDeliver high-quality teaching across KS3-KS4 (KS5 available)Full Time, Permanent - September 2026MPS1-UPS3 + TLR (dependent on experience)Tower Hamlets, East London PERSON SPECIFICATION UK QTS (or in progress)Strong subject knowledge and consistent classroom practiceAble to collaborate within a large, supportive teamOpen to feedback and coaching SCHOOL DETAILS Graded 'Outstanding' (latest Ofsted)Impressive Progress 8 and strong outcomesWell-resourced department with established schemes of workAdditional in-class support availableOnsite parking availableIf you are interested in this Computer Science Teacher / Computer Science ECT opportunity, interviews and lesson observations can be arranged immediately.Apply by sending your CV to Joe at EdEx. You will be contacted by your personal consultant (if shortlisted).Computer Science Teacher / Computer Science ECT INDT
Jan 21, 2026
Full time
Computer Science Teacher / Computer Science ECTIn the heart of Tower Hamlets, an 'Outstanding' Secondary School is looking to appoint a Computer Science Teacher / Computer Science ECT for a September 2026 start. This is a permanent, full-time position.The Head Teacher is seeking an ambitious Computer Science Teacher who is eager to add value to a growing department. The school is known for supportive SLT, strong outcomes, and a calm, purposeful learning culture. Why join this school? Outstanding leadership: a true "work with staff, not against them" cultureKS3-KS5 (excellent uptake at GCSE & A Level)£2,000 retention bonus (per year)Centralised detentions and strong behaviour systemsModern marking policy (no books home)Protected PPA + shared resources across the departmentExcellent transport links across East LondonExperienced Computer Science Teachers can access TLR opportunities (e.g. KS3 Coordinator, Digital Lead/Computing Lead, Pastoral). ECTs will benefit from a bespoke induction, including 1:1 mentoring and weekly coaching. JOB DESCRIPTION Computer Science Teacher / Computer Science ECTDeliver high-quality teaching across KS3-KS4 (KS5 available)Full Time, Permanent - September 2026MPS1-UPS3 + TLR (dependent on experience)Tower Hamlets, East London PERSON SPECIFICATION UK QTS (or in progress)Strong subject knowledge and consistent classroom practiceAble to collaborate within a large, supportive teamOpen to feedback and coaching SCHOOL DETAILS Graded 'Outstanding' (latest Ofsted)Impressive Progress 8 and strong outcomesWell-resourced department with established schemes of workAdditional in-class support availableOnsite parking availableIf you are interested in this Computer Science Teacher / Computer Science ECT opportunity, interviews and lesson observations can be arranged immediately.Apply by sending your CV to Joe at EdEx. You will be contacted by your personal consultant (if shortlisted).Computer Science Teacher / Computer Science ECT INDT
We are looking for a Senior Software Engineer with proficiency in C# programming to lead the development of the IoT device software and cloud platform software for our connected energy storage systems. The successful candidate will be responsible for the development and maintenance of communications and cloud backend for our IoT devices. This role is based at our head office in Oxford in the UK. About Brill Power Brill Power , a subsidiary of Palmer Energy Technology, works at the cutting edge of energy storage, power electronics, and battery software. We are a team of problem solvers and innovators, keen to make energy storage as efficient, sustainable, and widely adopted as possible. Established in 2016, Brill Power is a deep tech company with roots in the Engineering Department at the University of Oxford. Acquired in 2025 by Palmer Energy Technology Limited, we continue to grow our impact and expand to new markets. We are a small and talented team based in Oxford who are looking for new members to join us for the next chapter of Brill Power. Fun Essential to success. We love what we do. We think you should too. We are a team with mutual respect and understanding We are driven by innovation and leading the way in battery intelligence We work collaboratively to solve problems The Role We are looking for a Senior Software Engineer with proficiency in C# programming to lead the development of the IoT device software and cloud platform software for our connected energy storage systems. The successful candidate will be responsible for the development and maintenance of communications and cloud backend for our IoT devices. This role is based at our head office in Oxford in the UK. Job Overview and responsibilities Brill Power develops innovative software and hardware for battery system and energy management. Our proprietary IoT devices enable connectivity, data acquisition and control of battery energy storage systems to provide our customers with an end to end hardware + software solution. The person who joins us as Senior Software Engineer will design, develop and deploy the software that runs on our IoT devices and our cloud platform as part of the software and data team. The successful candidate will work closely with our Oxford based data, firmware and aftersales engineers, as well as our parent company's international technical teams to deliver and maintain our IoT infrastructure. Responsibilities Include IoT Software Development : Developing and maintaining the C# codebase for our IoT devices Cloud Software Development : Developing and maintaining the C# codebase for our cloud platform API Development : Developing APIs to expose data to external systems, or to ingest data from those systems into our own Monitoring & Troubleshooting : Maintaining system reliability, performance, and resolving connectivity issues Collaboration and Communication : Working with internal and external software teams, battery & data experts Team Dynamics : Maintaining a positive and productive atmosphere within the team Skills and Experience Successful candidates will have experience with the following: 8 years' experience in C# (.NET Core 8 and later) Experience with cloud services (ideally Azure) Experience with Docker Undergraduate degree in Computer Science, Engineering, or equivalent experience Nice to Have Experience with CAN, Modbus QuestDB, DuckDB or KDB Working knowledge of C++, Python Track record of successfully delivering commercial IoT solutions Working Style: Fast learner, eager to pick up new technologies Pragmatic; comfortable with ambiguity and changing requirement Able to work autonomously Comfortable working in a small team with a diverse range of responsibilities Brill Power Benefits In addition to a fun and friendly team and working environment, we offer: Competitive salary, based on experience 25 days of holiday plus bank holidays Benefits package to be agreed Full time, permanent role, with flexible working hours Regular team social events Get in touch There is no perfect candidate,and no single person can do it all, but if this sounds like you and you're looking for somewhere to thrive,we want to hear from you. Brill Power is an equal opportunity employer and welcome applications from all, without regard to their race, sex, disability, religion/belief, gender reassignment, national origin, sexual orientation, or age. Please send a CV and cover letter to , clearly indicating where your skills and experience match what we are looking for in this role. Brill Power is proud to be a certified Oxford Living Wage employer.
Jan 21, 2026
Full time
We are looking for a Senior Software Engineer with proficiency in C# programming to lead the development of the IoT device software and cloud platform software for our connected energy storage systems. The successful candidate will be responsible for the development and maintenance of communications and cloud backend for our IoT devices. This role is based at our head office in Oxford in the UK. About Brill Power Brill Power , a subsidiary of Palmer Energy Technology, works at the cutting edge of energy storage, power electronics, and battery software. We are a team of problem solvers and innovators, keen to make energy storage as efficient, sustainable, and widely adopted as possible. Established in 2016, Brill Power is a deep tech company with roots in the Engineering Department at the University of Oxford. Acquired in 2025 by Palmer Energy Technology Limited, we continue to grow our impact and expand to new markets. We are a small and talented team based in Oxford who are looking for new members to join us for the next chapter of Brill Power. Fun Essential to success. We love what we do. We think you should too. We are a team with mutual respect and understanding We are driven by innovation and leading the way in battery intelligence We work collaboratively to solve problems The Role We are looking for a Senior Software Engineer with proficiency in C# programming to lead the development of the IoT device software and cloud platform software for our connected energy storage systems. The successful candidate will be responsible for the development and maintenance of communications and cloud backend for our IoT devices. This role is based at our head office in Oxford in the UK. Job Overview and responsibilities Brill Power develops innovative software and hardware for battery system and energy management. Our proprietary IoT devices enable connectivity, data acquisition and control of battery energy storage systems to provide our customers with an end to end hardware + software solution. The person who joins us as Senior Software Engineer will design, develop and deploy the software that runs on our IoT devices and our cloud platform as part of the software and data team. The successful candidate will work closely with our Oxford based data, firmware and aftersales engineers, as well as our parent company's international technical teams to deliver and maintain our IoT infrastructure. Responsibilities Include IoT Software Development : Developing and maintaining the C# codebase for our IoT devices Cloud Software Development : Developing and maintaining the C# codebase for our cloud platform API Development : Developing APIs to expose data to external systems, or to ingest data from those systems into our own Monitoring & Troubleshooting : Maintaining system reliability, performance, and resolving connectivity issues Collaboration and Communication : Working with internal and external software teams, battery & data experts Team Dynamics : Maintaining a positive and productive atmosphere within the team Skills and Experience Successful candidates will have experience with the following: 8 years' experience in C# (.NET Core 8 and later) Experience with cloud services (ideally Azure) Experience with Docker Undergraduate degree in Computer Science, Engineering, or equivalent experience Nice to Have Experience with CAN, Modbus QuestDB, DuckDB or KDB Working knowledge of C++, Python Track record of successfully delivering commercial IoT solutions Working Style: Fast learner, eager to pick up new technologies Pragmatic; comfortable with ambiguity and changing requirement Able to work autonomously Comfortable working in a small team with a diverse range of responsibilities Brill Power Benefits In addition to a fun and friendly team and working environment, we offer: Competitive salary, based on experience 25 days of holiday plus bank holidays Benefits package to be agreed Full time, permanent role, with flexible working hours Regular team social events Get in touch There is no perfect candidate,and no single person can do it all, but if this sounds like you and you're looking for somewhere to thrive,we want to hear from you. Brill Power is an equal opportunity employer and welcome applications from all, without regard to their race, sex, disability, religion/belief, gender reassignment, national origin, sexual orientation, or age. Please send a CV and cover letter to , clearly indicating where your skills and experience match what we are looking for in this role. Brill Power is proud to be a certified Oxford Living Wage employer.
Job Category: Sales Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self service BI, data science, hybrid/multi cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo's large enterprise and mid market customers across 30+ industries have received payback in less than 6 months. For more information, visit . We are a fast growing, international organization with teams across four continents and we work with a cutting edge technology, but that's not all we have to offer. At Denodo, we are like a family and it is of the utmost importance to us that we help support your professional growth every step of the way. Job Description The opportunity The Sales Director at Denodo will be responsible for the management and execution of direct sales in the assigned region. This role will focus on driving new business and expanding existing relationships within the Financial Services sector. We are seeking high performance candidates with a track record of exceeding sales targets in enterprise software over the past five years. Candidates must have a solid background in the data integration, data analytics, and data management space with proven experience engaging with potential customers, partners and prospects in the assigned region. The ideal candidate should have excellent presentation and communication skills to handle the entire sales process from business development, prospecting, and qualifying to negotiations and closing. The successful candidate will be working closely with experienced sales and marketing leadership and be supported by a strong technical team in a fast paced and rapidly growing company to develop professionally and gain opportunities to excel. This position is based in London and requires a hybrid working arrangement, with a minimum of three days per week in our London Paddington office. This is an individual contributor sales opportunity. Job Responsibilities & Duties Develop, maintain, and manage the implementation of strategic sales plans for assigned territory. Manage efforts to research and identify customer prospects and targets. Responsible for meeting individual sales quotas based on corporate and regional revenue targets. Accountable for achieving new customer acquisition targets and implementing expansion strategies. Working with our partner channels sales team to identify, source, onboard appropriate channel & alliance partners and to drive revenue through both direct and indirect channels. Set and execute customer acquisition strategy across Direct inbound and through our Partner ecosystem within the assigned set of accounts and/or territory. Develop and actively maintain sales forecasts across assigned accounts and territory. Measure and report the result of sales and plan execution. Desired Skills & Experience 10+ years of results driven enterprise software sales experience 5+ years of experience in selling enterprise software Good knowledge and experience with Data Integration, Data Warehousing, Databases, Business Intelligence, Data Analytics, AI/ML concepts and products. Good understanding of enterprise IT architectures and corporate data strategies and solutions. Capable of managing all aspects of the sales cycle from cold calling prospects to negotiating enterprise wide contracts Ability to present technical concepts and business solutions clearly through demonstrations and proposals Exemplary written and oral communications skills with ability to engage with a wide range of customer roles (C suite, Executives, Subject Matter Experts and Enterprise Architects) Good organizational, prospecting and follow up skills A team player with the highest level of integrity. Bachelor's degree in a business related discipline, computer science or engineering with an MBA preferred, or equivalent work experience Nice to have experience in leveraging Employee Advocacy and Social Media to network with industry peers, share thought leadership content, and enhance brand visibility to support sales engagement and relationship building. Denodo is an equal opportunity employer and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable law. Denodo will provide reasonable accommodation to employees who have protected disabilities in accordance with applicable law. We do not accept resumes from headhunters or suppliers that have not signed a formal fee agreement. Therefore, any resume received from an unapproved supplier will be considered unsolicited, and we will not be obligated to pay a referral fee.
Jan 21, 2026
Full time
Job Category: Sales Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self service BI, data science, hybrid/multi cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo's large enterprise and mid market customers across 30+ industries have received payback in less than 6 months. For more information, visit . We are a fast growing, international organization with teams across four continents and we work with a cutting edge technology, but that's not all we have to offer. At Denodo, we are like a family and it is of the utmost importance to us that we help support your professional growth every step of the way. Job Description The opportunity The Sales Director at Denodo will be responsible for the management and execution of direct sales in the assigned region. This role will focus on driving new business and expanding existing relationships within the Financial Services sector. We are seeking high performance candidates with a track record of exceeding sales targets in enterprise software over the past five years. Candidates must have a solid background in the data integration, data analytics, and data management space with proven experience engaging with potential customers, partners and prospects in the assigned region. The ideal candidate should have excellent presentation and communication skills to handle the entire sales process from business development, prospecting, and qualifying to negotiations and closing. The successful candidate will be working closely with experienced sales and marketing leadership and be supported by a strong technical team in a fast paced and rapidly growing company to develop professionally and gain opportunities to excel. This position is based in London and requires a hybrid working arrangement, with a minimum of three days per week in our London Paddington office. This is an individual contributor sales opportunity. Job Responsibilities & Duties Develop, maintain, and manage the implementation of strategic sales plans for assigned territory. Manage efforts to research and identify customer prospects and targets. Responsible for meeting individual sales quotas based on corporate and regional revenue targets. Accountable for achieving new customer acquisition targets and implementing expansion strategies. Working with our partner channels sales team to identify, source, onboard appropriate channel & alliance partners and to drive revenue through both direct and indirect channels. Set and execute customer acquisition strategy across Direct inbound and through our Partner ecosystem within the assigned set of accounts and/or territory. Develop and actively maintain sales forecasts across assigned accounts and territory. Measure and report the result of sales and plan execution. Desired Skills & Experience 10+ years of results driven enterprise software sales experience 5+ years of experience in selling enterprise software Good knowledge and experience with Data Integration, Data Warehousing, Databases, Business Intelligence, Data Analytics, AI/ML concepts and products. Good understanding of enterprise IT architectures and corporate data strategies and solutions. Capable of managing all aspects of the sales cycle from cold calling prospects to negotiating enterprise wide contracts Ability to present technical concepts and business solutions clearly through demonstrations and proposals Exemplary written and oral communications skills with ability to engage with a wide range of customer roles (C suite, Executives, Subject Matter Experts and Enterprise Architects) Good organizational, prospecting and follow up skills A team player with the highest level of integrity. Bachelor's degree in a business related discipline, computer science or engineering with an MBA preferred, or equivalent work experience Nice to have experience in leveraging Employee Advocacy and Social Media to network with industry peers, share thought leadership content, and enhance brand visibility to support sales engagement and relationship building. Denodo is an equal opportunity employer and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable law. Denodo will provide reasonable accommodation to employees who have protected disabilities in accordance with applicable law. We do not accept resumes from headhunters or suppliers that have not signed a formal fee agreement. Therefore, any resume received from an unapproved supplier will be considered unsolicited, and we will not be obligated to pay a referral fee.
Howdens Joinery Co.
Great Houghton, Northamptonshire
Howdens have an incredible opportunity for the next energetic and driven Head of Architecture to shape the future of our enterprise applications. Setting the strategic direction for business systems spanning sales, service, supply chain, and back-end functions you will drive innovation, efficiency, and value across the organisation. Based from one of our corporate sites including Raunds, Northamptonshire, Brackmills Business Park, Northampton or Howden in Yorkshire you will be expected to travel and work onsite 4 days per week. What you'll be doing: Lead, mentor, and grow a high performing architecture team based across multiple sites. Define and own our enterprise architecture vision and roadmaps. Partner with senior leaders to align technology with business priorities. Govern architectural standards and champion modern IT practices. Introduce innovative, scalable, and secure solutions that fuel digital transformation. Drive a culture of architectural excellence, innovation, and continuous improvement across the technology organisation. Ensure adherence to modern IT standards and architectural frameworks (e.g., TOGAF, SAFe, ITIL, ArchiMate, cloud reference architectures). What we need from you Experience working in an enterprise architecture leadership role, ideally within a vertically integrated organisation covering multiple business functions. Demonstrable experience driving architecture strategies for enterprise applications. An excellent influencer and clear communicator. Deep understanding of modern SaaS, PaaS, and cloud native application architectures, including multi cloud and hybrid models. Strong knowledge of platform based architectures and API first integration approaches. Experience designing and governing architectures for ERP, CRM, supply chain, commerce, and digital service platforms in an integrated ecosystem. Expertise in cloud architecture and associated security, compliance, and cost optimisation strategies (AWS, Azure, GCP). Strong familiarity with modern delivery practices, including DevOps, CI/CD pipelines, containerisation, and microservices. Degree in IT, Computer Science, or related discipline; professional architecture certifications (TOGAF, SAFe Architect, AWS/Azure/GCP Architecture) highly desirable. What we can offer you: Competitive salary and company bonus. Car Allowance or Company Car. Excellent pension scheme (company contribution of up to 12%). Private Healthcare for you and your family. 25 days holiday + bank holidays with the option to buy additional days. Staff Discount. Employee Assistance Programme. Exceptional Reward and Recognition events. About Howdens: FTSE100 company and the UK's number one trade kitchen supplier Howdens Joinery provides thousands of products across kitchens, joinery, and hardware. We have over 900 depots throughout the UK and Europe - making us the first choice for more than 460,000 loyal trade professionals. Last year our sales reached circa 2.3bn, and we have an ambitious growth agenda. Howdens is founded on the principle of being Worthwhile for ALL concerned. We're working hard to ensure we provide an inclusive environment where everyone feels welcome. We will do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, please email with the job title and location, and we will be happy to help you.
Jan 21, 2026
Full time
Howdens have an incredible opportunity for the next energetic and driven Head of Architecture to shape the future of our enterprise applications. Setting the strategic direction for business systems spanning sales, service, supply chain, and back-end functions you will drive innovation, efficiency, and value across the organisation. Based from one of our corporate sites including Raunds, Northamptonshire, Brackmills Business Park, Northampton or Howden in Yorkshire you will be expected to travel and work onsite 4 days per week. What you'll be doing: Lead, mentor, and grow a high performing architecture team based across multiple sites. Define and own our enterprise architecture vision and roadmaps. Partner with senior leaders to align technology with business priorities. Govern architectural standards and champion modern IT practices. Introduce innovative, scalable, and secure solutions that fuel digital transformation. Drive a culture of architectural excellence, innovation, and continuous improvement across the technology organisation. Ensure adherence to modern IT standards and architectural frameworks (e.g., TOGAF, SAFe, ITIL, ArchiMate, cloud reference architectures). What we need from you Experience working in an enterprise architecture leadership role, ideally within a vertically integrated organisation covering multiple business functions. Demonstrable experience driving architecture strategies for enterprise applications. An excellent influencer and clear communicator. Deep understanding of modern SaaS, PaaS, and cloud native application architectures, including multi cloud and hybrid models. Strong knowledge of platform based architectures and API first integration approaches. Experience designing and governing architectures for ERP, CRM, supply chain, commerce, and digital service platforms in an integrated ecosystem. Expertise in cloud architecture and associated security, compliance, and cost optimisation strategies (AWS, Azure, GCP). Strong familiarity with modern delivery practices, including DevOps, CI/CD pipelines, containerisation, and microservices. Degree in IT, Computer Science, or related discipline; professional architecture certifications (TOGAF, SAFe Architect, AWS/Azure/GCP Architecture) highly desirable. What we can offer you: Competitive salary and company bonus. Car Allowance or Company Car. Excellent pension scheme (company contribution of up to 12%). Private Healthcare for you and your family. 25 days holiday + bank holidays with the option to buy additional days. Staff Discount. Employee Assistance Programme. Exceptional Reward and Recognition events. About Howdens: FTSE100 company and the UK's number one trade kitchen supplier Howdens Joinery provides thousands of products across kitchens, joinery, and hardware. We have over 900 depots throughout the UK and Europe - making us the first choice for more than 460,000 loyal trade professionals. Last year our sales reached circa 2.3bn, and we have an ambitious growth agenda. Howdens is founded on the principle of being Worthwhile for ALL concerned. We're working hard to ensure we provide an inclusive environment where everyone feels welcome. We will do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, please email with the job title and location, and we will be happy to help you.
London Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we've grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You'll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry. Product Ebury London Office - Hybrid: 4 days in the office, 1 day working from home per week We're building the platform capabilities that will power Ebury's future, enabling faster global expansion, reducing time-to-market for new products, and creating the technical foundation for our client onboarding and activation experiences. This is a critical role where you'll balance the urgent needs of product delivery with the strategic vision of building scalable platform infrastructure. You'll lead the development of our platform domain, including capabilities like our form builder, API-driven onboarding, etc. These aren't just internal tools, they're the foundation that will reduce onboarding journey build time from days to minutes, enable true API-first product capabilities, and unlock our ability to scale across new markets and partner channels. Define and drive platform vision Develop the platform strategy for your area, ensuring alignment with overall product goals and company direction. Translate this vision into a clear, actionable roadmap that balances short-term delivery needs with long-term platform capabilities. Build platform capabilities that enable velocity Own the development of core platform systems including the form builder, API triggered journeys, and modular micro-frontend components. Your work will directly accelerate our ability to launch new markets, expand partner integrations, and reduce manual effort in onboarding and activation flows. Evangelise and create alignment Ensure all stakeholders, from engineering teams to commercial leadership, understand the platform vision, have the context they need, and are aligned on where we're heading. You'll be the voice that bridges platform capabilities with business outcomes. Champion both the customer and the internal developer Represent end users going through client facing journeys whilst also understanding the needs of internal product teams who will build on your platform. Balance the customer experience with developer experience to create solutions that serve both. Author requirements and manage complexity Translate market observations, technical constraints, and stakeholder feedback into a prioritised backlog. Write clear specifications that handle the complexity of authorisation systems, multi-tenant architectures, and API integrations whilst maintaining focus on real-world applications. Partner closely with engineering, onboarding teams, CRM, commercial, and international markets to discover platformisation opportunities. Work hand-in-hand with technical leads to make architectural decisions that will scale globally. Define and track success metrics Own the measures that define success for your platform capabilities, from build time reduction to API adoption rates. Make these metrics visible, interpret them into actionable insights, and use them to drive continuous improvement. Make tough prioritisation calls Balance the needs of urgent product delivery against building platform capabilities that will pay dividends in the future. Navigate competing priorities from multiple stakeholders whilst maintaining a clear, understandable roadmap. Identify new opportunities With your deep understanding of customer needs, technical capabilities, and market dynamics, you're uniquely positioned to identify and develop new platform opportunities that unlock business value. What you'll need 5+ years of product management experience, with at least 2-3 years building technical platforms, APIs, or developer-facing products. You've shipped platform capabilities that were adopted by internal or external teams. Strong technical fluency You understand APIs, authentication and authorisation systems, data flows, backend architecture, and frontend frameworks. You can hold your own in technical discussions with senior engineers, challenge architectural decisions constructively whilst translating complex technical concepts to non-technical stakeholders. Platform thinking You instinctively identify opportunities to build once and leverage many times. You understand the difference between building product features and building the platform capabilities that enable features. You've dealt with the tension between delivery pressure and platform investment, and know how to navigate it. Proven ability to lead in a matrix organisation You've driven complex, cross-functional initiatives from ideation through launch. You know how to build consensus, manage multiple stakeholders with competing needs, and deliver results in ambiguous environments. Exceptional communication skills You can explain technical architecture to commercial teams and business requirements to engineers. You're comfortable presenting to senior leadership and can translate between technical and non-technical audiences seamlessly. Execution focus with attention to detail You get things done. You're methodical, data-driven, and emphasise shipping whilst paying attention to the important details. You make decisions based on evidence, customer feedback, and measurable success criteria. Customer and stakeholder empathy You're not just the voice of the customer, you can channel marketing, finance, engineering, support, and operations perspectives. You understand that great platform products serve multiple audiences with different needs. Experience with relevant technologies Familiarity with micro frontends, building systems, authorisation frameworks (e.g., Keycloak), API design, and modern cloud infrastructure is valuable. Experience in fintech, onboarding flows, or regulated industries is a plus. Bonus Points Background in engineering or a technical role before moving into product management Experience building platforms that serve both B2B and B2B2C use cases Knowledge of KYC/AML flows, identity verification, or financial services onboarding Hands-on experience with API documentation, developer portals, or SDK development Understanding of internationalisation, localisation, and multi-market product challenges Bachelor's degree in Computer Science, Engineering, or a related technical field Why this Role Matters You'll be setting the foundation for how Ebury scales globally. The platform capabilities you build will determine how quickly we can enter new markets, how efficiently we can onboard partners, and how effectively we can compete in the years ahead. This is a high-impact role where your work will be felt across the entire organisation. We're at an inflection point, moving from a delivery-focused organisation to one where platform thinking enables exponential growth. You'll have the opportunity to shape that transformation and build something that outlasts any single product feature. Why Ebury? Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one. Dedicated Mentorship: Learn directly from experienced managers who are invested in your success. Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best. Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury. Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized. Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits. Central London Office: A fantastic location with excellent transport links. Ready to launch your career with a global FinTech? Click the 'Apply' Today and discover your potential at Ebury! You can also connect with me on LinkedIn - Gabriella Cheston About Us Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Founded in 2009, we are headquartered in London and have more than 1700 staff with a presence in more than 29 markets worldwide. Cultural diversity is part of what makes Ebury a special place to be. From Sao Paulo to Dubai, Vancouver to Auckland, we enjoy sharing team experiences and celebrating success across the Ebury family. Hard work pays off: in 2019, Ebury received a £350 million investment from Banco Santander and has won internationally recognised awards including Financial Times: 1000 Europe's Fastest-Growing Companies. None of this would have been possible without our proudest achievement: our great people. Enthusiastic, innovative and collaborative teams, always ready to disrupt and revolutionise the fast-paced FinTech sector. At Ebury, we're committed to building a workplace where everyone feels valued, supported, and empowered to thrive. We're proud to have active employee networks and ESG initiatives that reflect our inclusive culture, including our Women's Network, LGBTQIA+ Network, and Veterans Network . click apply for full job details
Jan 21, 2026
Full time
London Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we've grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You'll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry. Product Ebury London Office - Hybrid: 4 days in the office, 1 day working from home per week We're building the platform capabilities that will power Ebury's future, enabling faster global expansion, reducing time-to-market for new products, and creating the technical foundation for our client onboarding and activation experiences. This is a critical role where you'll balance the urgent needs of product delivery with the strategic vision of building scalable platform infrastructure. You'll lead the development of our platform domain, including capabilities like our form builder, API-driven onboarding, etc. These aren't just internal tools, they're the foundation that will reduce onboarding journey build time from days to minutes, enable true API-first product capabilities, and unlock our ability to scale across new markets and partner channels. Define and drive platform vision Develop the platform strategy for your area, ensuring alignment with overall product goals and company direction. Translate this vision into a clear, actionable roadmap that balances short-term delivery needs with long-term platform capabilities. Build platform capabilities that enable velocity Own the development of core platform systems including the form builder, API triggered journeys, and modular micro-frontend components. Your work will directly accelerate our ability to launch new markets, expand partner integrations, and reduce manual effort in onboarding and activation flows. Evangelise and create alignment Ensure all stakeholders, from engineering teams to commercial leadership, understand the platform vision, have the context they need, and are aligned on where we're heading. You'll be the voice that bridges platform capabilities with business outcomes. Champion both the customer and the internal developer Represent end users going through client facing journeys whilst also understanding the needs of internal product teams who will build on your platform. Balance the customer experience with developer experience to create solutions that serve both. Author requirements and manage complexity Translate market observations, technical constraints, and stakeholder feedback into a prioritised backlog. Write clear specifications that handle the complexity of authorisation systems, multi-tenant architectures, and API integrations whilst maintaining focus on real-world applications. Partner closely with engineering, onboarding teams, CRM, commercial, and international markets to discover platformisation opportunities. Work hand-in-hand with technical leads to make architectural decisions that will scale globally. Define and track success metrics Own the measures that define success for your platform capabilities, from build time reduction to API adoption rates. Make these metrics visible, interpret them into actionable insights, and use them to drive continuous improvement. Make tough prioritisation calls Balance the needs of urgent product delivery against building platform capabilities that will pay dividends in the future. Navigate competing priorities from multiple stakeholders whilst maintaining a clear, understandable roadmap. Identify new opportunities With your deep understanding of customer needs, technical capabilities, and market dynamics, you're uniquely positioned to identify and develop new platform opportunities that unlock business value. What you'll need 5+ years of product management experience, with at least 2-3 years building technical platforms, APIs, or developer-facing products. You've shipped platform capabilities that were adopted by internal or external teams. Strong technical fluency You understand APIs, authentication and authorisation systems, data flows, backend architecture, and frontend frameworks. You can hold your own in technical discussions with senior engineers, challenge architectural decisions constructively whilst translating complex technical concepts to non-technical stakeholders. Platform thinking You instinctively identify opportunities to build once and leverage many times. You understand the difference between building product features and building the platform capabilities that enable features. You've dealt with the tension between delivery pressure and platform investment, and know how to navigate it. Proven ability to lead in a matrix organisation You've driven complex, cross-functional initiatives from ideation through launch. You know how to build consensus, manage multiple stakeholders with competing needs, and deliver results in ambiguous environments. Exceptional communication skills You can explain technical architecture to commercial teams and business requirements to engineers. You're comfortable presenting to senior leadership and can translate between technical and non-technical audiences seamlessly. Execution focus with attention to detail You get things done. You're methodical, data-driven, and emphasise shipping whilst paying attention to the important details. You make decisions based on evidence, customer feedback, and measurable success criteria. Customer and stakeholder empathy You're not just the voice of the customer, you can channel marketing, finance, engineering, support, and operations perspectives. You understand that great platform products serve multiple audiences with different needs. Experience with relevant technologies Familiarity with micro frontends, building systems, authorisation frameworks (e.g., Keycloak), API design, and modern cloud infrastructure is valuable. Experience in fintech, onboarding flows, or regulated industries is a plus. Bonus Points Background in engineering or a technical role before moving into product management Experience building platforms that serve both B2B and B2B2C use cases Knowledge of KYC/AML flows, identity verification, or financial services onboarding Hands-on experience with API documentation, developer portals, or SDK development Understanding of internationalisation, localisation, and multi-market product challenges Bachelor's degree in Computer Science, Engineering, or a related technical field Why this Role Matters You'll be setting the foundation for how Ebury scales globally. The platform capabilities you build will determine how quickly we can enter new markets, how efficiently we can onboard partners, and how effectively we can compete in the years ahead. This is a high-impact role where your work will be felt across the entire organisation. We're at an inflection point, moving from a delivery-focused organisation to one where platform thinking enables exponential growth. You'll have the opportunity to shape that transformation and build something that outlasts any single product feature. Why Ebury? Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one. Dedicated Mentorship: Learn directly from experienced managers who are invested in your success. Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best. Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury. Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized. Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits. Central London Office: A fantastic location with excellent transport links. Ready to launch your career with a global FinTech? Click the 'Apply' Today and discover your potential at Ebury! You can also connect with me on LinkedIn - Gabriella Cheston About Us Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Founded in 2009, we are headquartered in London and have more than 1700 staff with a presence in more than 29 markets worldwide. Cultural diversity is part of what makes Ebury a special place to be. From Sao Paulo to Dubai, Vancouver to Auckland, we enjoy sharing team experiences and celebrating success across the Ebury family. Hard work pays off: in 2019, Ebury received a £350 million investment from Banco Santander and has won internationally recognised awards including Financial Times: 1000 Europe's Fastest-Growing Companies. None of this would have been possible without our proudest achievement: our great people. Enthusiastic, innovative and collaborative teams, always ready to disrupt and revolutionise the fast-paced FinTech sector. At Ebury, we're committed to building a workplace where everyone feels valued, supported, and empowered to thrive. We're proud to have active employee networks and ESG initiatives that reflect our inclusive culture, including our Women's Network, LGBTQIA+ Network, and Veterans Network . click apply for full job details
The Role As our founding Product Manager, you will own the product requirements for Olix's OTPUs. You will have end-to-end responsibility for driving product strategy in the rapidly changing domain of AI inference & training. Success in this role will accelerate the development and deployment of Olix's OTPU to service real customer workloads. Responsibilities Define and drive the product strategy and roadmap evaluating emerging AI research and industry trends to leverage OTPU's strengths to best serve customers. Collaborate cross-functionally with optics, electronics and software teams to translate product requirements into engineering deliverables. Conduct in-depth market research to understand competitor solutions and customer pain points, synthesising insights to refine product positioning, features, and messaging. Define and track success metrics (e.g., performance benchmarks, usage, revenue targets) to align hardware and software simulations with customer requirements. Skills & Experience 3+ years of Product Management experience, ideally in deep tech or AI/HPC infrastructure contexts. 2+ years of Engineering experience. Technical fluency in AI/ML frameworks, hardware acceleration - enough to engage meaningfully with R&D and engineering teams. Proven track record of owning product roadmaps from ideation to launch, particularly in early-stage or rapidly evolving technology environments. Strong market research and analytical abilities to identify trends, assess competitive landscapes, and define opportunities for differentiation. Excellent communication skills, capable of articulating complex technical concepts to diverse engineers, non-engineers and customers. Data-driven mindset, comfortable working with quantitative and qualitative metrics to guide product decisions. Bachelor's in a relevant field (Engineering, Computer Science, Physics, or similar), or equivalent practical experience. Compensation & Benefits £117,000 - £143,000 annual salary, depending on experience, skills, and location. Competitive stock options, you're not just part of the journey, you will own a piece of it. Work from our HQ in King's Cross, right in the middle of London's buzzing AI scene. Live within 45 minutes of the office? Perfect. Live within 20 minutes? We'll add an extra location bonus to your salary. We offer visa sponsorship and full relocation support (UK and abroad), through a dedicated third-party provider who are on hand to make your move to London as seamless as possible. Full BUPA healthcare and dental cover, medical history disregarded. High-spec tech for everyone - M4 Macs as standard, M4 Pros for Engineers. Sony noise-cancelling headphones and ergonomic setups to keep you comfortable and focused. Personal company card to spend on tools that help you do your job - like ChatGPT Pro or anything else that boosts your workflow. Healthy, chef-cooked dinners in the office every night, with something for every diet and tastebud. Monthly off-site team socials. 25 days of paid holiday, plus all the UK bank holidays. Access to our in-house 3D printer for personal or work projects. Cycle2work scheme. Need a caffeine fix? We've got you covered with a tab at our favourite local coffee shop. We offer a pension plan and salary sacrifice options. Due to U.S. export control regulations, candidates' eligibility to work at Olix depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible. We do not accept unsolicited CVs from recruitment agencies, will not be liable for any fees, and prohibit unauthorised use of our company name in recruitment activities. we receive many applications, and this role is not at the top of our priority list. We anticipate reviewing all submissions within 3 weeks, and will contact you if you are shortlisted.
Jan 21, 2026
Full time
The Role As our founding Product Manager, you will own the product requirements for Olix's OTPUs. You will have end-to-end responsibility for driving product strategy in the rapidly changing domain of AI inference & training. Success in this role will accelerate the development and deployment of Olix's OTPU to service real customer workloads. Responsibilities Define and drive the product strategy and roadmap evaluating emerging AI research and industry trends to leverage OTPU's strengths to best serve customers. Collaborate cross-functionally with optics, electronics and software teams to translate product requirements into engineering deliverables. Conduct in-depth market research to understand competitor solutions and customer pain points, synthesising insights to refine product positioning, features, and messaging. Define and track success metrics (e.g., performance benchmarks, usage, revenue targets) to align hardware and software simulations with customer requirements. Skills & Experience 3+ years of Product Management experience, ideally in deep tech or AI/HPC infrastructure contexts. 2+ years of Engineering experience. Technical fluency in AI/ML frameworks, hardware acceleration - enough to engage meaningfully with R&D and engineering teams. Proven track record of owning product roadmaps from ideation to launch, particularly in early-stage or rapidly evolving technology environments. Strong market research and analytical abilities to identify trends, assess competitive landscapes, and define opportunities for differentiation. Excellent communication skills, capable of articulating complex technical concepts to diverse engineers, non-engineers and customers. Data-driven mindset, comfortable working with quantitative and qualitative metrics to guide product decisions. Bachelor's in a relevant field (Engineering, Computer Science, Physics, or similar), or equivalent practical experience. Compensation & Benefits £117,000 - £143,000 annual salary, depending on experience, skills, and location. Competitive stock options, you're not just part of the journey, you will own a piece of it. Work from our HQ in King's Cross, right in the middle of London's buzzing AI scene. Live within 45 minutes of the office? Perfect. Live within 20 minutes? We'll add an extra location bonus to your salary. We offer visa sponsorship and full relocation support (UK and abroad), through a dedicated third-party provider who are on hand to make your move to London as seamless as possible. Full BUPA healthcare and dental cover, medical history disregarded. High-spec tech for everyone - M4 Macs as standard, M4 Pros for Engineers. Sony noise-cancelling headphones and ergonomic setups to keep you comfortable and focused. Personal company card to spend on tools that help you do your job - like ChatGPT Pro or anything else that boosts your workflow. Healthy, chef-cooked dinners in the office every night, with something for every diet and tastebud. Monthly off-site team socials. 25 days of paid holiday, plus all the UK bank holidays. Access to our in-house 3D printer for personal or work projects. Cycle2work scheme. Need a caffeine fix? We've got you covered with a tab at our favourite local coffee shop. We offer a pension plan and salary sacrifice options. Due to U.S. export control regulations, candidates' eligibility to work at Olix depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible. We do not accept unsolicited CVs from recruitment agencies, will not be liable for any fees, and prohibit unauthorised use of our company name in recruitment activities. we receive many applications, and this role is not at the top of our priority list. We anticipate reviewing all submissions within 3 weeks, and will contact you if you are shortlisted.
Howdens have an incredible opportunity for the next energetic and driven Head of Architecture to shape the future of our enterprise applications. Setting the strategic direction for business systems spanning sales, service, supply chain, and back-end functions you will drive innovation, efficiency, and value across the organisation. Based from one of our corporate sites including Raunds, Northamptonshire, Brackmills Business Park, Northampton or Howden in Yorkshire you will be expected to travel and work onsite 4 days per week. What you'll be doing: Lead, mentor, and grow a high performing architecture team based across multiple sites. Define and own our enterprise architecture vision and roadmaps. Partner with senior leaders to align technology with business priorities. Govern architectural standards and champion modern IT practices. Introduce innovative, scalable, and secure solutions that fuel digital transformation. Drive a culture of architectural excellence, innovation, and continuous improvement across the technology organisation. Ensure adherence to modern IT standards and architectural frameworks (e.g., TOGAF, SAFe, ITIL, ArchiMate, cloud reference architectures). What we need from you Experience working in an enterprise architecture leadership role, ideally within a vertically integrated organisation covering multiple business functions. Demonstrable experience driving architecture strategies for enterprise applications. An excellent influencer and clear communicator. Deep understanding of modern SaaS, PaaS, and cloud native application architectures, including multi cloud and hybrid models. Strong knowledge of platform based architectures and API first integration approaches. Experience designing and governing architectures for ERP, CRM, supply chain, commerce, and digital service platforms in an integrated ecosystem. Expertise in cloud architecture and associated security, compliance, and cost optimisation strategies (AWS, Azure, GCP). Strong familiarity with modern delivery practices, including DevOps, CI/CD pipelines, containerisation, and microservices. Degree in IT, Computer Science, or related discipline; professional architecture certifications (TOGAF, SAFe Architect, AWS/Azure/GCP Architecture) highly desirable. What we can offer you: Competitive salary and company bonus. Car Allowance or Company Car. Excellent pension scheme (company contribution of up to 12%). Private Healthcare for you and your family. 25 days holiday + bank holidays with the option to buy additional days. Staff Discount. Employee Assistance Programme. Exceptional Reward and Recognition events. About Howdens: FTSE100 company and the UK's number one trade kitchen supplier Howdens Joinery provides thousands of products across kitchens, joinery, and hardware. We have over 900 depots throughout the UK and Europe - making us the first choice for more than 460,000 loyal trade professionals. Last year our sales reached circa 2.3bn, and we have an ambitious growth agenda. Howdens is founded on the principle of being Worthwhile for ALL concerned. We're working hard to ensure we provide an inclusive environment where everyone feels welcome. We will do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, please email with the job title and location, and we will be happy to help you.
Jan 21, 2026
Full time
Howdens have an incredible opportunity for the next energetic and driven Head of Architecture to shape the future of our enterprise applications. Setting the strategic direction for business systems spanning sales, service, supply chain, and back-end functions you will drive innovation, efficiency, and value across the organisation. Based from one of our corporate sites including Raunds, Northamptonshire, Brackmills Business Park, Northampton or Howden in Yorkshire you will be expected to travel and work onsite 4 days per week. What you'll be doing: Lead, mentor, and grow a high performing architecture team based across multiple sites. Define and own our enterprise architecture vision and roadmaps. Partner with senior leaders to align technology with business priorities. Govern architectural standards and champion modern IT practices. Introduce innovative, scalable, and secure solutions that fuel digital transformation. Drive a culture of architectural excellence, innovation, and continuous improvement across the technology organisation. Ensure adherence to modern IT standards and architectural frameworks (e.g., TOGAF, SAFe, ITIL, ArchiMate, cloud reference architectures). What we need from you Experience working in an enterprise architecture leadership role, ideally within a vertically integrated organisation covering multiple business functions. Demonstrable experience driving architecture strategies for enterprise applications. An excellent influencer and clear communicator. Deep understanding of modern SaaS, PaaS, and cloud native application architectures, including multi cloud and hybrid models. Strong knowledge of platform based architectures and API first integration approaches. Experience designing and governing architectures for ERP, CRM, supply chain, commerce, and digital service platforms in an integrated ecosystem. Expertise in cloud architecture and associated security, compliance, and cost optimisation strategies (AWS, Azure, GCP). Strong familiarity with modern delivery practices, including DevOps, CI/CD pipelines, containerisation, and microservices. Degree in IT, Computer Science, or related discipline; professional architecture certifications (TOGAF, SAFe Architect, AWS/Azure/GCP Architecture) highly desirable. What we can offer you: Competitive salary and company bonus. Car Allowance or Company Car. Excellent pension scheme (company contribution of up to 12%). Private Healthcare for you and your family. 25 days holiday + bank holidays with the option to buy additional days. Staff Discount. Employee Assistance Programme. Exceptional Reward and Recognition events. About Howdens: FTSE100 company and the UK's number one trade kitchen supplier Howdens Joinery provides thousands of products across kitchens, joinery, and hardware. We have over 900 depots throughout the UK and Europe - making us the first choice for more than 460,000 loyal trade professionals. Last year our sales reached circa 2.3bn, and we have an ambitious growth agenda. Howdens is founded on the principle of being Worthwhile for ALL concerned. We're working hard to ensure we provide an inclusive environment where everyone feels welcome. We will do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, please email with the job title and location, and we will be happy to help you.
Howdens have an incredible opportunity for the next energetic and driven Head of Architecture to shape the future of our enterprise applications. Setting the strategic direction for business systems spanning sales, service, supply chain, and back-end functions you will drive innovation, efficiency, and value across the organisation. Based from one of our corporate sites including Raunds, Northamptonshire, Brackmills Business Park, Northampton or Howden in Yorkshire you will be expected to travel and work onsite 4 days per week. What you'll be doing: Lead, mentor, and grow a high performing architecture team based across multiple sites. Define and own our enterprise architecture vision and roadmaps. Partner with senior leaders to align technology with business priorities. Govern architectural standards and champion modern IT practices. Introduce innovative, scalable, and secure solutions that fuel digital transformation. Drive a culture of architectural excellence, innovation, and continuous improvement across the technology organisation. Ensure adherence to modern IT standards and architectural frameworks (e.g., TOGAF, SAFe, ITIL, ArchiMate, cloud reference architectures). What we need from you Experience working in an enterprise architecture leadership role, ideally within a vertically integrated organisation covering multiple business functions. Demonstrable experience driving architecture strategies for enterprise applications. An excellent influencer and clear communicator. Deep understanding of modern SaaS, PaaS, and cloud native application architectures, including multi cloud and hybrid models. Strong knowledge of platform based architectures and API first integration approaches. Experience designing and governing architectures for ERP, CRM, supply chain, commerce, and digital service platforms in an integrated ecosystem. Expertise in cloud architecture and associated security, compliance, and cost optimisation strategies (AWS, Azure, GCP). Strong familiarity with modern delivery practices, including DevOps, CI/CD pipelines, containerisation, and microservices. Degree in IT, Computer Science, or related discipline; professional architecture certifications (TOGAF, SAFe Architect, AWS/Azure/GCP Architecture) highly desirable. What we can offer you: Competitive salary and company bonus. Car Allowance or Company Car. Excellent pension scheme (company contribution of up to 12%). Private Healthcare for you and your family. 25 days holiday + bank holidays with the option to buy additional days. Staff Discount. Employee Assistance Programme. Exceptional Reward and Recognition events. About Howdens: FTSE100 company and the UK's number one trade kitchen supplier Howdens Joinery provides thousands of products across kitchens, joinery, and hardware. We have over 900 depots throughout the UK and Europe - making us the first choice for more than 460,000 loyal trade professionals. Last year our sales reached circa 2.3bn, and we have an ambitious growth agenda. Howdens is founded on the principle of being Worthwhile for ALL concerned. We're working hard to ensure we provide an inclusive environment where everyone feels welcome. We will do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, please email with the job title and location, and we will be happy to help you.
Jan 21, 2026
Full time
Howdens have an incredible opportunity for the next energetic and driven Head of Architecture to shape the future of our enterprise applications. Setting the strategic direction for business systems spanning sales, service, supply chain, and back-end functions you will drive innovation, efficiency, and value across the organisation. Based from one of our corporate sites including Raunds, Northamptonshire, Brackmills Business Park, Northampton or Howden in Yorkshire you will be expected to travel and work onsite 4 days per week. What you'll be doing: Lead, mentor, and grow a high performing architecture team based across multiple sites. Define and own our enterprise architecture vision and roadmaps. Partner with senior leaders to align technology with business priorities. Govern architectural standards and champion modern IT practices. Introduce innovative, scalable, and secure solutions that fuel digital transformation. Drive a culture of architectural excellence, innovation, and continuous improvement across the technology organisation. Ensure adherence to modern IT standards and architectural frameworks (e.g., TOGAF, SAFe, ITIL, ArchiMate, cloud reference architectures). What we need from you Experience working in an enterprise architecture leadership role, ideally within a vertically integrated organisation covering multiple business functions. Demonstrable experience driving architecture strategies for enterprise applications. An excellent influencer and clear communicator. Deep understanding of modern SaaS, PaaS, and cloud native application architectures, including multi cloud and hybrid models. Strong knowledge of platform based architectures and API first integration approaches. Experience designing and governing architectures for ERP, CRM, supply chain, commerce, and digital service platforms in an integrated ecosystem. Expertise in cloud architecture and associated security, compliance, and cost optimisation strategies (AWS, Azure, GCP). Strong familiarity with modern delivery practices, including DevOps, CI/CD pipelines, containerisation, and microservices. Degree in IT, Computer Science, or related discipline; professional architecture certifications (TOGAF, SAFe Architect, AWS/Azure/GCP Architecture) highly desirable. What we can offer you: Competitive salary and company bonus. Car Allowance or Company Car. Excellent pension scheme (company contribution of up to 12%). Private Healthcare for you and your family. 25 days holiday + bank holidays with the option to buy additional days. Staff Discount. Employee Assistance Programme. Exceptional Reward and Recognition events. About Howdens: FTSE100 company and the UK's number one trade kitchen supplier Howdens Joinery provides thousands of products across kitchens, joinery, and hardware. We have over 900 depots throughout the UK and Europe - making us the first choice for more than 460,000 loyal trade professionals. Last year our sales reached circa 2.3bn, and we have an ambitious growth agenda. Howdens is founded on the principle of being Worthwhile for ALL concerned. We're working hard to ensure we provide an inclusive environment where everyone feels welcome. We will do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, please email with the job title and location, and we will be happy to help you.
Your new role As (Principal) Lead Scientist, you will perform cutting edge analyses of cellular phenotype data derived from ultra-high throughput genetic and compound screens to identify new drug targets for cardiometabolic disease. You will have direct impact on our early pipeline and lead the scientific deliveries from our flagship genome-scale in vitro perturbation screens producing high content imaging and functional genomics data and help us translate these into compelling drug projects. This is a senior scientific role in which you will have the opportunity to have major impact on our early pipeline and engage directly with senior therapy area disease experts, computational biologists, and engineering teams. Responsibilities Your responsibilities will include: Scientific leadership and execution of high value AI and data analysis projects for target discovery Translation of ultra high throughput in vitro screening analysis results/insights into drug target candidates and pipeline projects Systems biology guided interrogation of high dimensional cell painting embeddings & omics (incl. DRUG-seq/perturb-seq) data derived from genetic & chemical perturbations Keep pace with cutting edge biology focused AI methods and contribute to the development of internal evaluations/benchmarks to keep our models focused on value to our discovery pipeline Develop collaborative and strategic relationships with key stakeholders in our therapy areas to ensure alignment with the global Novo Nordisk drug discovery strategy and portfolio Provide input to our overall systems biology strategy, including scientific direction and implementation The role requires up to 10% overnight travel, potentially international. Your new department You will join the BioAI department, part of AI and Digital Innovation in Research & Development (R&D). BioAI is a global department with colleagues in Denmark, the United Kingdom, and the United States. Our scientists have significant expertise across a diverse set of disciplines in machine learning, graph data science, computer vision, and agentic reasoning, all applied to impacting early target discovery. Driving data first decision making in our R&D pipeline is a key objective for BioAI as we seek to strengthen the Novo Nordisk portfolio and deliver new medicines for patients across our core cardiometabolic disease areas. Your skills & qualifications To succeed in the role, we expect you to have: Master's degree is a must, and PhD is strongly preferred in cellular/molecular/computational biology or similar preferably combined with several years of experience in a pharma/tech bio context Scientific leadership experience in cross functional teams with a track record of progressing novel biological hypotheses, ideally focused on drug target identification within a pharma industry context Experience applying cutting edge AI and systems biology methods to generate, analyse, and interpret high dimensional datasets, preferably from HCI/omics data on in vitro genetic/compound screens Independence and motivation to perform in depth biology focused data analysis and work with project and leadership teams to progress targets Experience working in Python/R to curate and analyse data Experience in CMD relevant cellular/molecular biology is an advantage Excellent written and oral communication skills, detail oriented with strong presentation and documentation skills Working at Novo Nordisk Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job - you're becoming part of a story that spans generations. What we offer There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind. Application Support We are an equal opportunities employer, and we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. If you're a person with a disability, if you're neurodivergent, and need any adjustments to be made during the application and selection process, please send an email to . Please include your name, the role you are interested in and the type of adjustment your need. More information For further information, please reach out to Robert Kitchen, Head of BioAI at Deadline 1 February 2026 (Applications are reviewed on an ongoing basis). We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk, we're not chasing quick fixes - we're creating lasting change for long term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.
Jan 21, 2026
Full time
Your new role As (Principal) Lead Scientist, you will perform cutting edge analyses of cellular phenotype data derived from ultra-high throughput genetic and compound screens to identify new drug targets for cardiometabolic disease. You will have direct impact on our early pipeline and lead the scientific deliveries from our flagship genome-scale in vitro perturbation screens producing high content imaging and functional genomics data and help us translate these into compelling drug projects. This is a senior scientific role in which you will have the opportunity to have major impact on our early pipeline and engage directly with senior therapy area disease experts, computational biologists, and engineering teams. Responsibilities Your responsibilities will include: Scientific leadership and execution of high value AI and data analysis projects for target discovery Translation of ultra high throughput in vitro screening analysis results/insights into drug target candidates and pipeline projects Systems biology guided interrogation of high dimensional cell painting embeddings & omics (incl. DRUG-seq/perturb-seq) data derived from genetic & chemical perturbations Keep pace with cutting edge biology focused AI methods and contribute to the development of internal evaluations/benchmarks to keep our models focused on value to our discovery pipeline Develop collaborative and strategic relationships with key stakeholders in our therapy areas to ensure alignment with the global Novo Nordisk drug discovery strategy and portfolio Provide input to our overall systems biology strategy, including scientific direction and implementation The role requires up to 10% overnight travel, potentially international. Your new department You will join the BioAI department, part of AI and Digital Innovation in Research & Development (R&D). BioAI is a global department with colleagues in Denmark, the United Kingdom, and the United States. Our scientists have significant expertise across a diverse set of disciplines in machine learning, graph data science, computer vision, and agentic reasoning, all applied to impacting early target discovery. Driving data first decision making in our R&D pipeline is a key objective for BioAI as we seek to strengthen the Novo Nordisk portfolio and deliver new medicines for patients across our core cardiometabolic disease areas. Your skills & qualifications To succeed in the role, we expect you to have: Master's degree is a must, and PhD is strongly preferred in cellular/molecular/computational biology or similar preferably combined with several years of experience in a pharma/tech bio context Scientific leadership experience in cross functional teams with a track record of progressing novel biological hypotheses, ideally focused on drug target identification within a pharma industry context Experience applying cutting edge AI and systems biology methods to generate, analyse, and interpret high dimensional datasets, preferably from HCI/omics data on in vitro genetic/compound screens Independence and motivation to perform in depth biology focused data analysis and work with project and leadership teams to progress targets Experience working in Python/R to curate and analyse data Experience in CMD relevant cellular/molecular biology is an advantage Excellent written and oral communication skills, detail oriented with strong presentation and documentation skills Working at Novo Nordisk Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job - you're becoming part of a story that spans generations. What we offer There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind. Application Support We are an equal opportunities employer, and we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. If you're a person with a disability, if you're neurodivergent, and need any adjustments to be made during the application and selection process, please send an email to . Please include your name, the role you are interested in and the type of adjustment your need. More information For further information, please reach out to Robert Kitchen, Head of BioAI at Deadline 1 February 2026 (Applications are reviewed on an ongoing basis). We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk, we're not chasing quick fixes - we're creating lasting change for long term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Location Birmingham - Corporate Headquarters Buffalo Rock is an award-winning Pepsi and Keurig Dr Pepper bottler founded in Birmingham, AL more than 123 years ago. Buffalo Rock manages the best beverage portfolio in the country, which includes several beloved global and regional brands. The Manufacturing Plant Superintendent is a key member of the Corporate Manufacturing Team responsible for exercising independent judgment and discretion in managing all areas of the plant, and in supervising the employees working in all areas of the plant. Essential functions Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. Direct the work of employees assigning tasks and positions as necessary. Ensure that the employees perform their jobs properly and as safely as possible. Evaluate employees and provide input as to whether they should be retained in or advanced from the labor pool or production positions or should be removed from positions to which they had been promoted. Coach and consistently provide feedback opportunities for developing skillsets for the Production Supervisor(s) career path. Correct employees as necessary, initiate discipline, initiate work performance and conduct-related corrective actions and recommend suspensions and terminations as necessary. Deal with employee concerns and complaints and refer them to upper management or other resources when appropriate. Assure that the attire of the employees is in line with company policy. Gather information before the start of the shift from the previous shift supervisors and plant superintendent on production schedule status and if there are any raw material or machine issues/problems as well as communicate such information to the incoming supervisors and plant superintendent of the next shift. Check emails at the beginning and end of every shift. Manage production work assignments and filling out crewing rosters and other paperwork as necessary including but not limited to production reports, assignment reports, and clean up reports. Ensure that the lines for which they are responsible run efficiently, and that the total output of those lines is acceptable to management. Perform flavor changeovers and supervise all employees involved in that process during the changeover and ensure that flavor changeover is "in-range/on target" under applicable standards. Manage employees and the production areas in a manner consistent with Good Manufacturing Practices in an effort to maintain the facility to a standard that would be conducive to an audit environment. Coordinate with Quality Control on any quality issues that arise and meet on any issues if needed. Coordinate with Maintenance on any mechanical issues that arise and meet on any issues if needed. Coordinate with Supply Chain department when issues arise with raw materials. Exercise independent judgment and discretion in dealing with problems that arise on the lines, and involving management and/or upper management as necessary. Must enforce and adhere to all applicable policies and procedures. Ensure that employees are properly trained on all production tasks. Ensure that employees timely complete quarterly training curriculum, including but not limited to web-based and facilitated training. Ensure that production schedules are met and quality is maintained. Communicate with employees as needed. Assist with communication and implementation of new policies and procedures. Update/Review time sheets and supports payroll in gathering/clarifying payroll data. Complete all documents pertaining to accidents/incidents as well as notifying all parties on the contact list. Knowledge of and ability to perform Prerequisite and Food Safety Programs (Screen Checks) as required for audits. FOOD SAFETY: Required to follow the Good manufacturing Program GMPs as listed in Code of Federal Regulations CFR 21 section 110. Requires participation in various Food Safety related training that Buffalo Rock utilizes. Required to report potential issues related to Food Safety. Carry out other duties as assigned. Other Duties and Responsibilities Must exhibit a high level of ethical and moral conduct while at work or in attendance of any off-site function during work hours or after work hours while representing the Buffalo Rock Company. Responsible for continuous self-improvement through the knowledge and use of all Buffalo Rock provided training, either web-based, in-house, or any other provided method. Must successfully complete assigned training curriculum, including but not limited to online and/or facilitated training. Ensure that every reasonable precaution is taken to protect the Company from possible damage, theft, or other liabilities. Ensure that every reasonable precaution is taken to protect the safety of employee- partners, self, customers, Buffalo Rock property, and customer property. Honor and follow through on all business commitments. Embody Buffalo Rock's Purpose of "Building brands through legendary service and remarkable people." Committed to serving our communities. Customer success drives our success. Integrity matters. Obsessed with continuous improvement. We care for each other. Win the day. Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making. Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times. Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. Learning Strategies - Selecting and using training/instructional methods and procedures appropriate for the situation when learning or teaching new things. Mathematics - Using mathematics to solve problems. Monitoring - Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action. Reading Comprehension - Understanding written sentences and paragraphs in work related documents. Science - Using scientific rules and methods to solve problems. Speaking - Talking to others to convey information effectively. Writing - Communicating effectively in writing as appropriate for the needs of the audience. Coordination - Adjusting actions in relation to others' actions. Instructing - Teaching others how to do something. Negotiation - Bringing others together and trying to reconcile differences. Persuasion - Persuading others to change their minds or behavior. Service Orientation - Actively looking for ways to help people. Social Perceptiveness - Being aware of others' reactions and understanding why they react as they do. Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one. Management of Personnel Resources - Motivating, developing, and directing people as they work, identifying the best people for the job. Time Management - Managing one's own time and the time of others. Supervisory responsibilities Carries out supervisory responsibilities in accordance with the company's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems; making recommendations regarding changes in status. Work environment Working conditions will be inside and outside where temperatures will vary from extreme heat to extreme cold, all for extended periods. N (Not Applicable) Activity is not applicable to this position. O (Occasionally) Position requires this activity up to 33% of the time (0 - 2.5+ hrs/day) F (Frequently) Position requires this activity from 33%-66% of the time (2.5 - 5.5+ hrs/day) C (Constantly) Position requires this activity more than 66% of the time (5.5+ hrs/day) Physical Demands Lift/Carry Stand C Walk C Sit F Manually Manipulate C Grasp C Reach Above Shoulder C Speak C Climb O O Squat or Kneel O F C 11-20 lbs. C 21-50 lbs. F 51-100 lbs. O Over 100 lbs. N Push/Pull F 13-25 lbs. O 26-40 lbs. N 41-100 lbs. N Required education and experience Education: Associate degree or higher: Required Computer Skills: Must be proficient in Microsoft Office programs including: SharePoint, Word, Excel, Outlook, PowerPoint. Experience: 5 plus years of supervisory experience: Required Manufacturing experience: Preferred Tools and Technology Affirmative Action/EEO statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex . click apply for full job details
Jan 20, 2026
Full time
Location Birmingham - Corporate Headquarters Buffalo Rock is an award-winning Pepsi and Keurig Dr Pepper bottler founded in Birmingham, AL more than 123 years ago. Buffalo Rock manages the best beverage portfolio in the country, which includes several beloved global and regional brands. The Manufacturing Plant Superintendent is a key member of the Corporate Manufacturing Team responsible for exercising independent judgment and discretion in managing all areas of the plant, and in supervising the employees working in all areas of the plant. Essential functions Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. Direct the work of employees assigning tasks and positions as necessary. Ensure that the employees perform their jobs properly and as safely as possible. Evaluate employees and provide input as to whether they should be retained in or advanced from the labor pool or production positions or should be removed from positions to which they had been promoted. Coach and consistently provide feedback opportunities for developing skillsets for the Production Supervisor(s) career path. Correct employees as necessary, initiate discipline, initiate work performance and conduct-related corrective actions and recommend suspensions and terminations as necessary. Deal with employee concerns and complaints and refer them to upper management or other resources when appropriate. Assure that the attire of the employees is in line with company policy. Gather information before the start of the shift from the previous shift supervisors and plant superintendent on production schedule status and if there are any raw material or machine issues/problems as well as communicate such information to the incoming supervisors and plant superintendent of the next shift. Check emails at the beginning and end of every shift. Manage production work assignments and filling out crewing rosters and other paperwork as necessary including but not limited to production reports, assignment reports, and clean up reports. Ensure that the lines for which they are responsible run efficiently, and that the total output of those lines is acceptable to management. Perform flavor changeovers and supervise all employees involved in that process during the changeover and ensure that flavor changeover is "in-range/on target" under applicable standards. Manage employees and the production areas in a manner consistent with Good Manufacturing Practices in an effort to maintain the facility to a standard that would be conducive to an audit environment. Coordinate with Quality Control on any quality issues that arise and meet on any issues if needed. Coordinate with Maintenance on any mechanical issues that arise and meet on any issues if needed. Coordinate with Supply Chain department when issues arise with raw materials. Exercise independent judgment and discretion in dealing with problems that arise on the lines, and involving management and/or upper management as necessary. Must enforce and adhere to all applicable policies and procedures. Ensure that employees are properly trained on all production tasks. Ensure that employees timely complete quarterly training curriculum, including but not limited to web-based and facilitated training. Ensure that production schedules are met and quality is maintained. Communicate with employees as needed. Assist with communication and implementation of new policies and procedures. Update/Review time sheets and supports payroll in gathering/clarifying payroll data. Complete all documents pertaining to accidents/incidents as well as notifying all parties on the contact list. Knowledge of and ability to perform Prerequisite and Food Safety Programs (Screen Checks) as required for audits. FOOD SAFETY: Required to follow the Good manufacturing Program GMPs as listed in Code of Federal Regulations CFR 21 section 110. Requires participation in various Food Safety related training that Buffalo Rock utilizes. Required to report potential issues related to Food Safety. Carry out other duties as assigned. Other Duties and Responsibilities Must exhibit a high level of ethical and moral conduct while at work or in attendance of any off-site function during work hours or after work hours while representing the Buffalo Rock Company. Responsible for continuous self-improvement through the knowledge and use of all Buffalo Rock provided training, either web-based, in-house, or any other provided method. Must successfully complete assigned training curriculum, including but not limited to online and/or facilitated training. Ensure that every reasonable precaution is taken to protect the Company from possible damage, theft, or other liabilities. Ensure that every reasonable precaution is taken to protect the safety of employee- partners, self, customers, Buffalo Rock property, and customer property. Honor and follow through on all business commitments. Embody Buffalo Rock's Purpose of "Building brands through legendary service and remarkable people." Committed to serving our communities. Customer success drives our success. Integrity matters. Obsessed with continuous improvement. We care for each other. Win the day. Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making. Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times. Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. Learning Strategies - Selecting and using training/instructional methods and procedures appropriate for the situation when learning or teaching new things. Mathematics - Using mathematics to solve problems. Monitoring - Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action. Reading Comprehension - Understanding written sentences and paragraphs in work related documents. Science - Using scientific rules and methods to solve problems. Speaking - Talking to others to convey information effectively. Writing - Communicating effectively in writing as appropriate for the needs of the audience. Coordination - Adjusting actions in relation to others' actions. Instructing - Teaching others how to do something. Negotiation - Bringing others together and trying to reconcile differences. Persuasion - Persuading others to change their minds or behavior. Service Orientation - Actively looking for ways to help people. Social Perceptiveness - Being aware of others' reactions and understanding why they react as they do. Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one. Management of Personnel Resources - Motivating, developing, and directing people as they work, identifying the best people for the job. Time Management - Managing one's own time and the time of others. Supervisory responsibilities Carries out supervisory responsibilities in accordance with the company's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems; making recommendations regarding changes in status. Work environment Working conditions will be inside and outside where temperatures will vary from extreme heat to extreme cold, all for extended periods. N (Not Applicable) Activity is not applicable to this position. O (Occasionally) Position requires this activity up to 33% of the time (0 - 2.5+ hrs/day) F (Frequently) Position requires this activity from 33%-66% of the time (2.5 - 5.5+ hrs/day) C (Constantly) Position requires this activity more than 66% of the time (5.5+ hrs/day) Physical Demands Lift/Carry Stand C Walk C Sit F Manually Manipulate C Grasp C Reach Above Shoulder C Speak C Climb O O Squat or Kneel O F C 11-20 lbs. C 21-50 lbs. F 51-100 lbs. O Over 100 lbs. N Push/Pull F 13-25 lbs. O 26-40 lbs. N 41-100 lbs. N Required education and experience Education: Associate degree or higher: Required Computer Skills: Must be proficient in Microsoft Office programs including: SharePoint, Word, Excel, Outlook, PowerPoint. Experience: 5 plus years of supervisory experience: Required Manufacturing experience: Preferred Tools and Technology Affirmative Action/EEO statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex . click apply for full job details
About Us: At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data - and for 95% of teams, this essential step is both the most costly, and the most time consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a rockstar Senior PMM to join our Marketing team! About You: Ideal candidates will have a proven record in product marketing and experience working on technical products. You would have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans. You also have experience creating compelling product and product related thought leadership content to support customers on their learning journey and for Growth/Demand marketing to use for audience, use case, or vertical specific campaigns. 5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in early stage AI startups. Excellent writing skills for succinct messaging targeting AI/ML engineers and AI executives. Ability to thrive in a fast paced, dynamic, team oriented environment. Deep understanding of Data and AI space. Experience building compelling technical and business content. Works collaboratively with sales, growth marketing, and product teams. Comfortable owning and running direct customer engagements. Strong public speaker and technical aptitude to become the end to end expert on the Encord platform to be able to effectively demo at events and to prospects. Preferred technical academic background (BS in computer science or related discipline). About You As our second product marketer, you will lead the marketing of the Encord Platform. This will include owning how we message Encord across targeted use cases, verticals, and personas. This is a critical role for the business, and you will become the subject matter expert for the end to end platform. The impact you will have Own the messaging of Encord, as well as the messaging for platform wide capabilities. Amplify the platform level messaging through the Encord website and channels. Build and deliver sales enablement with high CSAT scores with field teams. Be the expert in any platform specific messaging for any campaign or event Encord is running, and enable GTM teams with highly performant content to drive strong engagement and pipeline. Deliver a drumbeat of compelling customer stories, highlighting the Encord Platform capabilities, technical details, and realized value. Hone messaging by developing value proposition and messaging frameworks and driving articulation of product portfolio positioning aligned to Encord's targeted audiences and ICP. Help build a product our customers love. Collaborate closely with product & engineering to identify needs and sharpen product offerings based on the competitive landscape and feedback from customers. What We Offer: Competitive salary, commission and equity in a hyper growth startup. Real opportunities to grow. We're growing insanely fast and you'll have all the opportunities for growth that you can handle. Strong in person culture. We're 3-5 days a week in our Fitzrovia office. Flexible PTO to recharge. Annual learning and development budget. 25 paid vacation days + bank holidays. Lots of opportunities for travel (all around the US, to London & Europe). Bi-annual off sites and monthly socials. Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
Jan 20, 2026
Full time
About Us: At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data - and for 95% of teams, this essential step is both the most costly, and the most time consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a rockstar Senior PMM to join our Marketing team! About You: Ideal candidates will have a proven record in product marketing and experience working on technical products. You would have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans. You also have experience creating compelling product and product related thought leadership content to support customers on their learning journey and for Growth/Demand marketing to use for audience, use case, or vertical specific campaigns. 5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in early stage AI startups. Excellent writing skills for succinct messaging targeting AI/ML engineers and AI executives. Ability to thrive in a fast paced, dynamic, team oriented environment. Deep understanding of Data and AI space. Experience building compelling technical and business content. Works collaboratively with sales, growth marketing, and product teams. Comfortable owning and running direct customer engagements. Strong public speaker and technical aptitude to become the end to end expert on the Encord platform to be able to effectively demo at events and to prospects. Preferred technical academic background (BS in computer science or related discipline). About You As our second product marketer, you will lead the marketing of the Encord Platform. This will include owning how we message Encord across targeted use cases, verticals, and personas. This is a critical role for the business, and you will become the subject matter expert for the end to end platform. The impact you will have Own the messaging of Encord, as well as the messaging for platform wide capabilities. Amplify the platform level messaging through the Encord website and channels. Build and deliver sales enablement with high CSAT scores with field teams. Be the expert in any platform specific messaging for any campaign or event Encord is running, and enable GTM teams with highly performant content to drive strong engagement and pipeline. Deliver a drumbeat of compelling customer stories, highlighting the Encord Platform capabilities, technical details, and realized value. Hone messaging by developing value proposition and messaging frameworks and driving articulation of product portfolio positioning aligned to Encord's targeted audiences and ICP. Help build a product our customers love. Collaborate closely with product & engineering to identify needs and sharpen product offerings based on the competitive landscape and feedback from customers. What We Offer: Competitive salary, commission and equity in a hyper growth startup. Real opportunities to grow. We're growing insanely fast and you'll have all the opportunities for growth that you can handle. Strong in person culture. We're 3-5 days a week in our Fitzrovia office. Flexible PTO to recharge. Annual learning and development budget. 25 paid vacation days + bank holidays. Lots of opportunities for travel (all around the US, to London & Europe). Bi-annual off sites and monthly socials. Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
