Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Apr 18, 2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Apr 17, 2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Apply service design mindset and methods-research, synthesis, mapping, modelling, prototyping-based on what the context needs Plan and run interviews, workshops and desk research to build a clear picture of users, operations and constraints Turn complexity into clear insights and practical opportunities Co create future service options with stakeholders; facilitate alignment and decision making Choose the right level of fidelity to communicate how services work-from simple visually compelling design led narratives to detailed process models Test concepts through lightweight pilots, simulations or behavioural experiments. Use AI tools (e.g., Copilot, Miro, ChatGPT, Claude, agentic workflows, and other generative tooling) to accelerate sensemaking and option exploration Present implications and recommendations in straightforward, actionable terms for senior stakeholders Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. A systems oriented thinker who treats service design as a way of thinking, not a set of deliverables Confident conducting research and synthesising evidence into direction Skilled at communicating across operations, policy, product and technology-both technically and creatively to inspire and Comfortable challenging assumptions constructively and proposing alternatives. Curious and already integrating AI into analysis, synthesis or modelling Adaptable across roles - researcher, facilitator, modeller, prototyper - based on need. Adapt the approach to the situation; avoid rigid frameworks Use AI intentionally to speed analysis and broaden scenario exploration Produce outputs that teams use to make decisions and deliver change Guide teams through ambiguity with structure and plain language Work well in multidisciplinary teams and as an IC when the project requires it Keep focus on outcomes: better decisions, better services, better experiences. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Competency interview (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
Apr 16, 2026
Full time
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Apply service design mindset and methods-research, synthesis, mapping, modelling, prototyping-based on what the context needs Plan and run interviews, workshops and desk research to build a clear picture of users, operations and constraints Turn complexity into clear insights and practical opportunities Co create future service options with stakeholders; facilitate alignment and decision making Choose the right level of fidelity to communicate how services work-from simple visually compelling design led narratives to detailed process models Test concepts through lightweight pilots, simulations or behavioural experiments. Use AI tools (e.g., Copilot, Miro, ChatGPT, Claude, agentic workflows, and other generative tooling) to accelerate sensemaking and option exploration Present implications and recommendations in straightforward, actionable terms for senior stakeholders Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. A systems oriented thinker who treats service design as a way of thinking, not a set of deliverables Confident conducting research and synthesising evidence into direction Skilled at communicating across operations, policy, product and technology-both technically and creatively to inspire and Comfortable challenging assumptions constructively and proposing alternatives. Curious and already integrating AI into analysis, synthesis or modelling Adaptable across roles - researcher, facilitator, modeller, prototyper - based on need. Adapt the approach to the situation; avoid rigid frameworks Use AI intentionally to speed analysis and broaden scenario exploration Produce outputs that teams use to make decisions and deliver change Guide teams through ambiguity with structure and plain language Work well in multidisciplinary teams and as an IC when the project requires it Keep focus on outcomes: better decisions, better services, better experiences. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Competency interview (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human centric AI. You can read about our real world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Bringing medicine to patients is complex, expensive and high risk. Faculty's Life Science's team is concentrated on building AI solutions which optimise the research and commercialisation of life changing therapies. We partner with major pharma firms, academic research centres and MedTech start ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role We're looking for a Cloud Engineer to build the backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure, and scalable cloud infrastructure that powers cutting edge data and machine learning workflows. Working in a cross functional team, you'll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions. What you'll be doing: Building robust, secure, and scalable cloud infrastructure for AI and ML workflows. Partnering with technical and non technical stakeholders, from initial idea generation through to implementation and shipping. Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos. Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges. Creating and maintaining reusable, company wide libraries and infrastructure as code. Researching and integrating the best open source technologies to enhance Faculty's infrastructure capabilities. Who we're looking for: You are pragmatic and outcome focused, balancing the big picture with the details to execute complex projects in the real world. You think scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done. You have a drive to learn, constantly exploring new technologies and novel applications for existing tools. You possess deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform. You are experienced in building and deploying containerised solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps practices. You possess proficient knowledge of Networking and Cloud Security. You excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping. The Interview Process Talent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.
Apr 16, 2026
Full time
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human centric AI. You can read about our real world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Bringing medicine to patients is complex, expensive and high risk. Faculty's Life Science's team is concentrated on building AI solutions which optimise the research and commercialisation of life changing therapies. We partner with major pharma firms, academic research centres and MedTech start ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role We're looking for a Cloud Engineer to build the backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure, and scalable cloud infrastructure that powers cutting edge data and machine learning workflows. Working in a cross functional team, you'll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions. What you'll be doing: Building robust, secure, and scalable cloud infrastructure for AI and ML workflows. Partnering with technical and non technical stakeholders, from initial idea generation through to implementation and shipping. Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos. Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges. Creating and maintaining reusable, company wide libraries and infrastructure as code. Researching and integrating the best open source technologies to enhance Faculty's infrastructure capabilities. Who we're looking for: You are pragmatic and outcome focused, balancing the big picture with the details to execute complex projects in the real world. You think scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done. You have a drive to learn, constantly exploring new technologies and novel applications for existing tools. You possess deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform. You are experienced in building and deploying containerised solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps practices. You possess proficient knowledge of Networking and Cloud Security. You excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping. The Interview Process Talent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state of the art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity This is a unique opportunity for a Senior/Principal Scientist to lead and shape statistical and population genomics efforts to accelerate target identification and validation across multiple therapeutic areas. You will work with large-scale human genetics resources (e.g. biobanks and population cohorts) and apply cutting edge statistical genetics methodologies to generate actionable insights. As part of the Cross Indication team, you will operate at the interface of human genetics, computational biology, and machine learning, translating genetic evidence into target prioritisation frameworks and mechanistic hypotheses. You will play a key role in developing robust, scalable analysis pipelines and ensuring genetic insights are integrated into decision making across the organisation. Your responsibilities Lead statistical and population genomics analyses using large-scale datasets to support target discovery and validation. Design and implement statistical genetics methodologies for target prioritisation, including approaches leveraging GWAS, fine mapping, colocalisation, polygenic risk, rare variant analyses, and functional annotation. Develop scalable computational workflows for reproducible genetics analysis, enabling robust and efficient delivery across multiple programmes. Integrate human genetics evidence with multi omics datasets (e.g. transcriptomics, proteomics) to uncover disease mechanisms and prioritise actionable targets. Partner closely with experimental, translational, and ML teams to validate hypotheses, interpret findings, and guide downstream decision making. Communicate results clearly and confidently to internal stakeholders, including presenting methods, results, risks/limitations, and recommendations. Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. Professionally, you have PhD in statistical genetics, genomics, computational biology, bioinformatics, or a related quantitative field. Post PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment. Deep expertise in statistical genetics and population genomics, including experience with large scale human genetic datasets and post GWAS analyses. High proficiency in Python (preferred) and R, with experience working in high performance computing environments. Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery. Desirable knowledge or experiences Familiarity with single cell transcriptomics or patient derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Knowledge of machine learning techniques applied to biological data. Experience with causal inference frameworks (e.g. Mendelian randomisation) to strengthen target validation. Strong understanding of the end to end drug discovery process and how genetic evidence informs decision making. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Impact driven and passionate about improving patient outcomes. Comfortable working in dynamic, fast paced environments. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.
Apr 16, 2026
Full time
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state of the art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity This is a unique opportunity for a Senior/Principal Scientist to lead and shape statistical and population genomics efforts to accelerate target identification and validation across multiple therapeutic areas. You will work with large-scale human genetics resources (e.g. biobanks and population cohorts) and apply cutting edge statistical genetics methodologies to generate actionable insights. As part of the Cross Indication team, you will operate at the interface of human genetics, computational biology, and machine learning, translating genetic evidence into target prioritisation frameworks and mechanistic hypotheses. You will play a key role in developing robust, scalable analysis pipelines and ensuring genetic insights are integrated into decision making across the organisation. Your responsibilities Lead statistical and population genomics analyses using large-scale datasets to support target discovery and validation. Design and implement statistical genetics methodologies for target prioritisation, including approaches leveraging GWAS, fine mapping, colocalisation, polygenic risk, rare variant analyses, and functional annotation. Develop scalable computational workflows for reproducible genetics analysis, enabling robust and efficient delivery across multiple programmes. Integrate human genetics evidence with multi omics datasets (e.g. transcriptomics, proteomics) to uncover disease mechanisms and prioritise actionable targets. Partner closely with experimental, translational, and ML teams to validate hypotheses, interpret findings, and guide downstream decision making. Communicate results clearly and confidently to internal stakeholders, including presenting methods, results, risks/limitations, and recommendations. Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. Professionally, you have PhD in statistical genetics, genomics, computational biology, bioinformatics, or a related quantitative field. Post PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment. Deep expertise in statistical genetics and population genomics, including experience with large scale human genetic datasets and post GWAS analyses. High proficiency in Python (preferred) and R, with experience working in high performance computing environments. Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery. Desirable knowledge or experiences Familiarity with single cell transcriptomics or patient derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Knowledge of machine learning techniques applied to biological data. Experience with causal inference frameworks (e.g. Mendelian randomisation) to strengthen target validation. Strong understanding of the end to end drug discovery process and how genetic evidence informs decision making. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Impact driven and passionate about improving patient outcomes. Comfortable working in dynamic, fast paced environments. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.
A biomedical AI company is seeking a Senior Machine Learning Engineer to enhance ML models' performance and scalability. In this role, you will collaborate with product managers and scientists to implement solutions that improve research outcomes. We're looking for a talented individual with over 5 years of software development experience, along with a solid background in NLP and machine learning techniques. This position offers a competitive salary package and an opportunity to work in a collaborative environment.
Apr 16, 2026
Full time
A biomedical AI company is seeking a Senior Machine Learning Engineer to enhance ML models' performance and scalability. In this role, you will collaborate with product managers and scientists to implement solutions that improve research outcomes. We're looking for a talented individual with over 5 years of software development experience, along with a solid background in NLP and machine learning techniques. This position offers a competitive salary package and an opportunity to work in a collaborative environment.
About HeliosX Ready to revolutionize healthcare, making it faster and more accessible than ever before? How we started: Founded in 2013 by Dwayne D'Souza, HeliosX was built on a simple but powerful idea: healthcare should be easier to access, faster to receive, and centred around the individual. From day one, we've grown without external funding; scaling profitably through technology, disciplined execution, and deep medical expertise. What started as a challenger idea has become one of the most significant healthcare platforms operating globally today. Where we are now: We've earned the trust of millions of people worldwide through category-leading products and well-known brands, including MedExpress, Dermatica, ZipHealth, RocketRX, and Levity. A key driver of our success is vertical integration; we operate our own manufacturing and proprietary products, led by in-house medical teams, researchers, and pharmacists at the top of their fields. In 2025, HeliosX treated more than 1.7 million patients globally and reached £781m in revenue, representing % year-on-year growth and cementing our position as the clear market leader in the UK. That growth translates into real-world outcomes: our weight-loss treatments helped patients lose 8.5 million kilograms of excess weight in 2025 alone, contributing to an estimated 1,300 fewer cardiac events. This is growth with measurable, life-changing impact at scale. Today, we operate across four international markets, with successful launches in Germany and Canada and continued expansion in the US. We were also recently recognised in the Sunday Times Top 100 fastest-growing tech companies, further validation of both our momentum and our ambition. Where we're going: 2026 is a step-change year. Our ambition is to reach £1.6bn in revenue, expand from four to eight global markets and significantly broaden our condition and treatment portfolio. Over the coming years, you'll help shape HeliosX into a truly world-leading healthcare partner; one that combines scale, speed, and clinical rigour to redefine how personalised care is delivered. Joining HeliosX now means building systems, teams, and products that will define the next decade of digital healthcare, and doing work that genuinely improves lives, at global scale. There's never been a more exciting time to join HeliosX. Come be a part of making our dream of easier and faster healthcare a reality! About the role: As the Senior Information Security Specialist, you will be the cornerstone of our Governance, Risk, and Compliance (GRC) function. This pivotal role involves leading the development, maintenance, and continuous improvement of our Information Security Management System (ISMS). You will act as the primary subject matter expert for our entire security governance framework, ensuring our policies, standards, and controls are robust, auditable, and effectively manage risk across the business. What you'll be doing: Governance, Risk & Compliance (GRC) Leadership Lead the development, management, and continuous improvement of the Information Security Management System (ISMS), aligning it with relevant frameworks and standards. Update and maintain the Information Security Risk Register, facilitating risk assessments, identifying treatment plans, and reporting risk posture to stakeholders. Develop and oversee the internal security audit schedule, coordinating technical control testing and compliance reviews to ensure effectiveness and identify areas for improvement. Act as the subject matter expert for data classification and data protection, defining policies and guiding the business on correct data handling procedures. Lead the formal security response for client due diligence questionnaires (DDQs) and support the review of security clauses within commercial contracts. Third-Party Risk, Advisory & Business Engagement Manage the end to end third party risk management (TPRM) programme, including supplier due diligence, risk assessment, and ongoing performance monitoring. Act as the primary point of contact for information security queries from the business, providing expert guidance to both technical and non-technical stakeholders. Translate complex technical and security risks into clear, business-focused language and recommendations. Develop, manage, and deliver the security culture, awareness, and training programme across the organisation. Incident Management, Leadership & Capability Building Define, maintain, and improve the Incident Response call tree and incident communication roles and processes. Support and guide incident response activities from a governance, risk, and communications perspective, ensuring roles, responsibilities, and escalation paths are clear and effective. Provide security leadership, coaching, and mentoring to junior members of the security team and guidance to wider technical and non-technical staff. Act as a trusted authority on GRC matters, helping to drive a strong and sustainable security culture across the business. Who you are: Demonstrable experience in two or more major information security domains, with strong focus on Governance, Risk, and Compliance (GRC). Proven experience designing, implementing, and operating an ISMS aligned to recognised frameworks (e.g., ISO 27001, NIST, etc.). Strong experience in risk management, audit, compliance, and third-party risk management. Experience handling client security questionnaires (DDQs) and reviewing security-related contractual requirements. Experience supporting or governing incident response, including escalation models, call trees, and communication structures. Core Skills: Excellent written and verbal communication skills, with the ability to explain complex security topics in clear business terms. Strong planning, organisation, and documentation skills. Stakeholder management across technical and non-technical audiences. Risk assessment, control design, and policy/standard development. Coaching, mentoring, and influencing skills. Trusted advisor mindset with strong professional judgement. High attention to detail with a pragmatic, risk based approach. Confident decision-maker who can balance security, business needs, and delivery. Collaborative, proactive, and comfortable operating with autonomy. Committed to continuous improvement and raising organisational security maturity. Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketing staff, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Employee Pension with Smart Pension Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription)
Apr 16, 2026
Full time
About HeliosX Ready to revolutionize healthcare, making it faster and more accessible than ever before? How we started: Founded in 2013 by Dwayne D'Souza, HeliosX was built on a simple but powerful idea: healthcare should be easier to access, faster to receive, and centred around the individual. From day one, we've grown without external funding; scaling profitably through technology, disciplined execution, and deep medical expertise. What started as a challenger idea has become one of the most significant healthcare platforms operating globally today. Where we are now: We've earned the trust of millions of people worldwide through category-leading products and well-known brands, including MedExpress, Dermatica, ZipHealth, RocketRX, and Levity. A key driver of our success is vertical integration; we operate our own manufacturing and proprietary products, led by in-house medical teams, researchers, and pharmacists at the top of their fields. In 2025, HeliosX treated more than 1.7 million patients globally and reached £781m in revenue, representing % year-on-year growth and cementing our position as the clear market leader in the UK. That growth translates into real-world outcomes: our weight-loss treatments helped patients lose 8.5 million kilograms of excess weight in 2025 alone, contributing to an estimated 1,300 fewer cardiac events. This is growth with measurable, life-changing impact at scale. Today, we operate across four international markets, with successful launches in Germany and Canada and continued expansion in the US. We were also recently recognised in the Sunday Times Top 100 fastest-growing tech companies, further validation of both our momentum and our ambition. Where we're going: 2026 is a step-change year. Our ambition is to reach £1.6bn in revenue, expand from four to eight global markets and significantly broaden our condition and treatment portfolio. Over the coming years, you'll help shape HeliosX into a truly world-leading healthcare partner; one that combines scale, speed, and clinical rigour to redefine how personalised care is delivered. Joining HeliosX now means building systems, teams, and products that will define the next decade of digital healthcare, and doing work that genuinely improves lives, at global scale. There's never been a more exciting time to join HeliosX. Come be a part of making our dream of easier and faster healthcare a reality! About the role: As the Senior Information Security Specialist, you will be the cornerstone of our Governance, Risk, and Compliance (GRC) function. This pivotal role involves leading the development, maintenance, and continuous improvement of our Information Security Management System (ISMS). You will act as the primary subject matter expert for our entire security governance framework, ensuring our policies, standards, and controls are robust, auditable, and effectively manage risk across the business. What you'll be doing: Governance, Risk & Compliance (GRC) Leadership Lead the development, management, and continuous improvement of the Information Security Management System (ISMS), aligning it with relevant frameworks and standards. Update and maintain the Information Security Risk Register, facilitating risk assessments, identifying treatment plans, and reporting risk posture to stakeholders. Develop and oversee the internal security audit schedule, coordinating technical control testing and compliance reviews to ensure effectiveness and identify areas for improvement. Act as the subject matter expert for data classification and data protection, defining policies and guiding the business on correct data handling procedures. Lead the formal security response for client due diligence questionnaires (DDQs) and support the review of security clauses within commercial contracts. Third-Party Risk, Advisory & Business Engagement Manage the end to end third party risk management (TPRM) programme, including supplier due diligence, risk assessment, and ongoing performance monitoring. Act as the primary point of contact for information security queries from the business, providing expert guidance to both technical and non-technical stakeholders. Translate complex technical and security risks into clear, business-focused language and recommendations. Develop, manage, and deliver the security culture, awareness, and training programme across the organisation. Incident Management, Leadership & Capability Building Define, maintain, and improve the Incident Response call tree and incident communication roles and processes. Support and guide incident response activities from a governance, risk, and communications perspective, ensuring roles, responsibilities, and escalation paths are clear and effective. Provide security leadership, coaching, and mentoring to junior members of the security team and guidance to wider technical and non-technical staff. Act as a trusted authority on GRC matters, helping to drive a strong and sustainable security culture across the business. Who you are: Demonstrable experience in two or more major information security domains, with strong focus on Governance, Risk, and Compliance (GRC). Proven experience designing, implementing, and operating an ISMS aligned to recognised frameworks (e.g., ISO 27001, NIST, etc.). Strong experience in risk management, audit, compliance, and third-party risk management. Experience handling client security questionnaires (DDQs) and reviewing security-related contractual requirements. Experience supporting or governing incident response, including escalation models, call trees, and communication structures. Core Skills: Excellent written and verbal communication skills, with the ability to explain complex security topics in clear business terms. Strong planning, organisation, and documentation skills. Stakeholder management across technical and non-technical audiences. Risk assessment, control design, and policy/standard development. Coaching, mentoring, and influencing skills. Trusted advisor mindset with strong professional judgement. High attention to detail with a pragmatic, risk based approach. Confident decision-maker who can balance security, business needs, and delivery. Collaborative, proactive, and comfortable operating with autonomy. Committed to continuous improvement and raising organisational security maturity. Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketing staff, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Employee Pension with Smart Pension Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription)
Description Quantum is now, and it's built here. Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world-leading trapped-ion technology, we're building the most powerful, accurate and reliable quantum systems to tackle problems that today's supercomputers cannot solve. Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact. What to expect We are looking for a Senior Technical Project Manager to join our Software team at Oxford Ionics. You will be part of a cross-functional Quantum Operating System team whose mission is to develop software that runs the world's best quantum computers to solve the world's most complex problems. This role requires deep cross-functional engagement across our organization, especially with teams focusing on the quantum computers software stack and systems integration. You will be responsible for working with other project managers, technical staff, and cross functional teams to orchestrate the execution and delivery of key functionality for the Quantum Operating System software stack. What you'll be responsible for In this position, you will work with technical leadership to develop and manage software deliverables and integration, in alignment with overall business objectives and multi-product timelines. You'll have the opportunity to own strategic project management to ensure plans meet delivery deadlines, directly contributing to our research and development goals of Oxford Ionics. Providing strategic leadership to project management, including proactively identifying potential risks, creating mitigation plans, confirming plans are properly resourced. Verifying that teams have developed adequate architecture, design and test plans to meet delivery deadlines. Applying project management practices to manage timelines, budgets, risk and resources effectively. Reporting to appropriate stakeholders and working cross functionally to resolve any problems. Providing situational leadership to teams, setting clear expectations, removing obstacles, assigning tasks, and proactively managing schedules and risks, especially in critical projects like implementing technology into engineering systems. Communicating project status in a clear and transparent manner to all stakeholders, including flagging risks and mitigation plans regularly. Requirements To be successful, you will need a deep technical understanding of the full Software Development Life Cycle (SDLC) as well as prior experience as a Technical Project Manager. You will have a track record of managing software related projects for high-performing teams delivering complex projects in the 'deep tech' sector, such as quantum computing, robotics, aerospace, autonomous vehicles, or similar. This role will suit people with a desire to be at the forefront of ground-breaking technological advancements, a passion for quantum computing is key but no prior experience is necessary. You'd be a great fit with: Familiarity with project management tools and methodologies, such as GitHub, Jira/Confluence, Microsoft Project, SmartSheet etc. Ability to lead cross-functional teams. Strong communication skills, with experience communicating technical concepts to both technical and non-technical stakeholders. Proven ability to manage multiple projects simultaneously in a fast-paced, dynamic environment. Excellent problem-solving and analytical abilities, with a keen eye for detail and an innovative mindset. Additional experience would be beneficial such as a degree in Physics, Computer Science, Electrical Engineering or related technical field and/or project management certification. Working knowledge of quantum computing concepts, principles and technologies would be a plus. Benefits Be part of a team that's shaping the future of quantum. We offer more than just a role, you'll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We're proud to be an equal opportunity employer and welcome applicants from all backgrounds.
Apr 16, 2026
Full time
Description Quantum is now, and it's built here. Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world-leading trapped-ion technology, we're building the most powerful, accurate and reliable quantum systems to tackle problems that today's supercomputers cannot solve. Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact. What to expect We are looking for a Senior Technical Project Manager to join our Software team at Oxford Ionics. You will be part of a cross-functional Quantum Operating System team whose mission is to develop software that runs the world's best quantum computers to solve the world's most complex problems. This role requires deep cross-functional engagement across our organization, especially with teams focusing on the quantum computers software stack and systems integration. You will be responsible for working with other project managers, technical staff, and cross functional teams to orchestrate the execution and delivery of key functionality for the Quantum Operating System software stack. What you'll be responsible for In this position, you will work with technical leadership to develop and manage software deliverables and integration, in alignment with overall business objectives and multi-product timelines. You'll have the opportunity to own strategic project management to ensure plans meet delivery deadlines, directly contributing to our research and development goals of Oxford Ionics. Providing strategic leadership to project management, including proactively identifying potential risks, creating mitigation plans, confirming plans are properly resourced. Verifying that teams have developed adequate architecture, design and test plans to meet delivery deadlines. Applying project management practices to manage timelines, budgets, risk and resources effectively. Reporting to appropriate stakeholders and working cross functionally to resolve any problems. Providing situational leadership to teams, setting clear expectations, removing obstacles, assigning tasks, and proactively managing schedules and risks, especially in critical projects like implementing technology into engineering systems. Communicating project status in a clear and transparent manner to all stakeholders, including flagging risks and mitigation plans regularly. Requirements To be successful, you will need a deep technical understanding of the full Software Development Life Cycle (SDLC) as well as prior experience as a Technical Project Manager. You will have a track record of managing software related projects for high-performing teams delivering complex projects in the 'deep tech' sector, such as quantum computing, robotics, aerospace, autonomous vehicles, or similar. This role will suit people with a desire to be at the forefront of ground-breaking technological advancements, a passion for quantum computing is key but no prior experience is necessary. You'd be a great fit with: Familiarity with project management tools and methodologies, such as GitHub, Jira/Confluence, Microsoft Project, SmartSheet etc. Ability to lead cross-functional teams. Strong communication skills, with experience communicating technical concepts to both technical and non-technical stakeholders. Proven ability to manage multiple projects simultaneously in a fast-paced, dynamic environment. Excellent problem-solving and analytical abilities, with a keen eye for detail and an innovative mindset. Additional experience would be beneficial such as a degree in Physics, Computer Science, Electrical Engineering or related technical field and/or project management certification. Working knowledge of quantum computing concepts, principles and technologies would be a plus. Benefits Be part of a team that's shaping the future of quantum. We offer more than just a role, you'll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We're proud to be an equal opportunity employer and welcome applicants from all backgrounds.
We are looking for a Senior Machine Learning Engineer to join our growing engineering team. You're the perfect fit for this role if you are passionate about solving problems in NLP, have a great appreciation for science and want to transform how it is done. Pay range: 80,000 - 130,000 GBP We know compensation is an important part of choosing your next role. The range shown reflects our target hiring range, informed by market data, internal equity, and the role's current scope. Often the mid-range is where we tend to fall, but individual offers may vary based on experience, skills, and the role scope. You Will: Continuously improve the performance and scalability of ML models that are at the core of BenchSci's products Build and deploy models from inception to live in production pipelines Work with BenchSci's Product Managers and Scientists to correctly capture the nuances of biology Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci Leverage a deep understanding of the business context and the team's goals to unlock independent technical decisions in the face of open-ended requirements Proactively identify new opportunities (from both internal and external sources) and advocate for and implement improvements to the current state of projects Respond with urgency and drive urgency in own team to operational issues, owning resolution within one's sphere of responsibility Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research Participate in sprint planning, estimation and reviews. Take ownership of deliverables, and work with teammates to ensure high-quality deliverables You Have: 5+ years of software development experience Bachelor's degree in Computer Science or Mathematics Strong experience with NLP A degree in computer science with a focus in machine learning and at least three years of experience in the industry Strong experience with TensorFlow, PyTorch, and image processing libraries such as OpenCV and scikit-image Experience with data processing frameworks and Cloud ML Tooling You have a constant desire to grow and develop You have strong cross-team communication and collaboration skills A team player who strives to see teammates succeed together Benefits and Perks: A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at top pharmaceutical companies and leading academic centers. Our Culture: Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Diversity, Equity and Inclusion We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives. Accessibility Accommodations Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
Apr 16, 2026
Full time
We are looking for a Senior Machine Learning Engineer to join our growing engineering team. You're the perfect fit for this role if you are passionate about solving problems in NLP, have a great appreciation for science and want to transform how it is done. Pay range: 80,000 - 130,000 GBP We know compensation is an important part of choosing your next role. The range shown reflects our target hiring range, informed by market data, internal equity, and the role's current scope. Often the mid-range is where we tend to fall, but individual offers may vary based on experience, skills, and the role scope. You Will: Continuously improve the performance and scalability of ML models that are at the core of BenchSci's products Build and deploy models from inception to live in production pipelines Work with BenchSci's Product Managers and Scientists to correctly capture the nuances of biology Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci Leverage a deep understanding of the business context and the team's goals to unlock independent technical decisions in the face of open-ended requirements Proactively identify new opportunities (from both internal and external sources) and advocate for and implement improvements to the current state of projects Respond with urgency and drive urgency in own team to operational issues, owning resolution within one's sphere of responsibility Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research Participate in sprint planning, estimation and reviews. Take ownership of deliverables, and work with teammates to ensure high-quality deliverables You Have: 5+ years of software development experience Bachelor's degree in Computer Science or Mathematics Strong experience with NLP A degree in computer science with a focus in machine learning and at least three years of experience in the industry Strong experience with TensorFlow, PyTorch, and image processing libraries such as OpenCV and scikit-image Experience with data processing frameworks and Cloud ML Tooling You have a constant desire to grow and develop You have strong cross-team communication and collaboration skills A team player who strives to see teammates succeed together Benefits and Perks: A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at top pharmaceutical companies and leading academic centers. Our Culture: Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Diversity, Equity and Inclusion We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives. Accessibility Accommodations Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Playing in picture-in-picture Playing in picture-in-picture (opens a new window) 00:00 01:07 Quality Auto Speed Normal CC/subtitles Off Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus . You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select What are your salary expectations? Please include a specific number or range. If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
Apr 16, 2026
Full time
London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Playing in picture-in-picture Playing in picture-in-picture (opens a new window) 00:00 01:07 Quality Auto Speed Normal CC/subtitles Off Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus . You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select What are your salary expectations? Please include a specific number or range. If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
.We're looking for a Software Engineer III to join the Search Platform team within Elsevier's Search and AI Platform. This role is ideal for a strong backend engineer who is curious, eager to learn, and excited to work on large-scale, cloud-native systems - including search - even if they haven't worked in this domain before. You'll contribute to the core services that power search across products such as Scopus or ScienceDirect, working on backend services, APIs, and platform components. You'll take ownership of well-defined pieces of work, deliver production-quality code, and grow your expertise through close collaboration with senior and principal engineers. About the team The Search Platform Team builds and operates the foundational services that enable search across Elsevier products. Our platform supports high-volume, mission-critical workloads and is evolving to support next-generation, AI-augmented discovery experiences. We work in a global, collaborative environment alongside product managers, data scientists, and other platform teams. We value clean engineering, learning, and shared ownership, and we actively support engineers as they grow into more complex problem spaces. Requirements: 2-4 years of professional software engineering experience in backend or platform roles Strong programming skills in Java, ideally using Spring / Spring Boot Experience delivering production-quality services in a cloud-based environment (preferably AWS) Familiarity with containerised applications and Kubernetes A strong desire to learn new technologies and grow into complex domains Responsibilities: Become productive in the Search Platform codebase, delivering features and fixes independently Build confidence working with Java-based, Kubernetes-hosted services in the cloud Learn the fundamentals of search platform concepts with support from the team Contribute to improving code quality, test coverage, and operational reliability Participate actively in code reviews, planning discussions, and team rituals Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Home, office, or commuting allowance. Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Software Engineer III - Search Platform About the role RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Apr 16, 2026
Full time
.We're looking for a Software Engineer III to join the Search Platform team within Elsevier's Search and AI Platform. This role is ideal for a strong backend engineer who is curious, eager to learn, and excited to work on large-scale, cloud-native systems - including search - even if they haven't worked in this domain before. You'll contribute to the core services that power search across products such as Scopus or ScienceDirect, working on backend services, APIs, and platform components. You'll take ownership of well-defined pieces of work, deliver production-quality code, and grow your expertise through close collaboration with senior and principal engineers. About the team The Search Platform Team builds and operates the foundational services that enable search across Elsevier products. Our platform supports high-volume, mission-critical workloads and is evolving to support next-generation, AI-augmented discovery experiences. We work in a global, collaborative environment alongside product managers, data scientists, and other platform teams. We value clean engineering, learning, and shared ownership, and we actively support engineers as they grow into more complex problem spaces. Requirements: 2-4 years of professional software engineering experience in backend or platform roles Strong programming skills in Java, ideally using Spring / Spring Boot Experience delivering production-quality services in a cloud-based environment (preferably AWS) Familiarity with containerised applications and Kubernetes A strong desire to learn new technologies and grow into complex domains Responsibilities: Become productive in the Search Platform codebase, delivering features and fixes independently Build confidence working with Java-based, Kubernetes-hosted services in the cloud Learn the fundamentals of search platform concepts with support from the team Contribute to improving code quality, test coverage, and operational reliability Participate actively in code reviews, planning discussions, and team rituals Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Home, office, or commuting allowance. Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Software Engineer III - Search Platform About the role RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 15, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Job Description: We seek a talented and motivated Senior AI/ML Data Scientist to pioneer the development and application of cutting-edge machine learning models for computer-aided drug design (CADD) and small molecule discovery. You will be joining a dynamic, cross-disciplinary team of computational scientists, medicinal chemists, and engineers. Your primary focus will be on architecting, training, and deploying sophisticated models to predict molecular properties, generate novel models, and ultimately accelerate our drug discovery pipelines. To be successful in this role, you will need deep expertise in modern machine learning, particularly generative AI (Transformers, Diffusion Models), Graph Neural Networks, and predictive modeling. You will leverage your skills to tackle complex scientific challenges, working with vast and diverse chemical and biological datasets. If you are passionate about applying state-of-the-art AI to solve fundamental challenges in chemistry and are driven to see your work make a real-world impact on discovering new medicines, we'd love to have you join our team. Key Responsibilities: Design, develop, and optimize state-of-the-art generative models (e.g., Transformers, GNNs, Diffusion Models) for robotic tasks synthetic routes. Architect and implement scalable MLOps pipelines for preprocessing large-scale chemical and biological datasets, model training, and rigorous evaluation. Translate cutting-edge research in AI/ML into practical solutions that address critical challenges in our drug discovery projects, such as property prediction (ADMET/QSAR), reaction prediction, and binding affinity prediction. Collaborate closely with computational chemists, medicinal chemists, and software engineers to define project goals, interpret model outputs, and integrate AI-driven insights into our discovery platform. Design and execute robust experiments to evaluate model performance, focusing on chemical validity, novelty, synthesizability, and predictive accuracy against experimental data. Clearly communicate complex technical concepts, model results, and strategic recommendations to both technical and non-technical stakeholders. Stay at the forefront of AI for drug discovery, foundation models for science, and multimodal learning, continuously identifying and championing opportunities to enhance our capabilities. What you'll bring: MSc or PhD with 5+ years of industry or academic experience in Computer Science, Machine Learning, Computational Chemistry/Biology, or a closely related field. Demonstrated proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Deep theoretical and practical knowledge of modern machine learning architectures, including Transformers, Graph Neural Networks (GNNs), and generative models (VAEs, GANs, Diffusion Models) as applied to scientific problems. Proven ability to lead complex AI/ML projects from concept to deployment in a scientific or drug discovery context. Extensive experience working with large-scale molecular datasets (e.g., SMILES, 3D conformations), biological data (e.g., protein sequences, assay data), and other scientific data formats. Experience with efficient model training and fine-tuning techniques, such as LoRA, quantization, distillation, and model pruning. Strong background or hands-on experience applying ML to problems involving protein structures, small molecule interactions, or related biological data. Familiarity with scalable computing environments, GPU acceleration, and distributed training. Excellent communication and interpersonal skills for effective collaboration in a multidisciplinary team. A collaborative mindset, strong communication skills, and the ability to work effectively within a cross-disciplinary team. Excellent problem-solving skills and a proactive, can-do attitude. An eagerness to learn new scientific concepts, computational methods, and software engineering practices from experienced mentors. Good understanding of version control with Git. Beneficial Skills: Hands-on experience with cheminformatics toolkits such as RDKit. Experience with Retrieval-Augmented Generation (RAG) systems, including vector databases (e.g., Redis, FAISS, Milvus, Pinecone) for querying large chemical or biological databases. Experience with Protein/DNA language models (e.g., ProtBERT, ESM, Evo) or protein structure prediction models (e.g., AlphaFold-like approaches). Experience with evaluation frameworks for reaction and synthetic route design, including human-in-the-loop assessment and metrics for novelty, diversity, and feasibility of synthetic pathways. Strong experience with relational and non-relational databases (SQL/NoSQL), including data modeling and efficient querying for large-scale AI workflows. A portfolio of projects or open-source contributions (e.g., a GitHub profile) that demonstrates your skills and passion for AI/ML development. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW
Apr 15, 2026
Full time
Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Job Description: We seek a talented and motivated Senior AI/ML Data Scientist to pioneer the development and application of cutting-edge machine learning models for computer-aided drug design (CADD) and small molecule discovery. You will be joining a dynamic, cross-disciplinary team of computational scientists, medicinal chemists, and engineers. Your primary focus will be on architecting, training, and deploying sophisticated models to predict molecular properties, generate novel models, and ultimately accelerate our drug discovery pipelines. To be successful in this role, you will need deep expertise in modern machine learning, particularly generative AI (Transformers, Diffusion Models), Graph Neural Networks, and predictive modeling. You will leverage your skills to tackle complex scientific challenges, working with vast and diverse chemical and biological datasets. If you are passionate about applying state-of-the-art AI to solve fundamental challenges in chemistry and are driven to see your work make a real-world impact on discovering new medicines, we'd love to have you join our team. Key Responsibilities: Design, develop, and optimize state-of-the-art generative models (e.g., Transformers, GNNs, Diffusion Models) for robotic tasks synthetic routes. Architect and implement scalable MLOps pipelines for preprocessing large-scale chemical and biological datasets, model training, and rigorous evaluation. Translate cutting-edge research in AI/ML into practical solutions that address critical challenges in our drug discovery projects, such as property prediction (ADMET/QSAR), reaction prediction, and binding affinity prediction. Collaborate closely with computational chemists, medicinal chemists, and software engineers to define project goals, interpret model outputs, and integrate AI-driven insights into our discovery platform. Design and execute robust experiments to evaluate model performance, focusing on chemical validity, novelty, synthesizability, and predictive accuracy against experimental data. Clearly communicate complex technical concepts, model results, and strategic recommendations to both technical and non-technical stakeholders. Stay at the forefront of AI for drug discovery, foundation models for science, and multimodal learning, continuously identifying and championing opportunities to enhance our capabilities. What you'll bring: MSc or PhD with 5+ years of industry or academic experience in Computer Science, Machine Learning, Computational Chemistry/Biology, or a closely related field. Demonstrated proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Deep theoretical and practical knowledge of modern machine learning architectures, including Transformers, Graph Neural Networks (GNNs), and generative models (VAEs, GANs, Diffusion Models) as applied to scientific problems. Proven ability to lead complex AI/ML projects from concept to deployment in a scientific or drug discovery context. Extensive experience working with large-scale molecular datasets (e.g., SMILES, 3D conformations), biological data (e.g., protein sequences, assay data), and other scientific data formats. Experience with efficient model training and fine-tuning techniques, such as LoRA, quantization, distillation, and model pruning. Strong background or hands-on experience applying ML to problems involving protein structures, small molecule interactions, or related biological data. Familiarity with scalable computing environments, GPU acceleration, and distributed training. Excellent communication and interpersonal skills for effective collaboration in a multidisciplinary team. A collaborative mindset, strong communication skills, and the ability to work effectively within a cross-disciplinary team. Excellent problem-solving skills and a proactive, can-do attitude. An eagerness to learn new scientific concepts, computational methods, and software engineering practices from experienced mentors. Good understanding of version control with Git. Beneficial Skills: Hands-on experience with cheminformatics toolkits such as RDKit. Experience with Retrieval-Augmented Generation (RAG) systems, including vector databases (e.g., Redis, FAISS, Milvus, Pinecone) for querying large chemical or biological databases. Experience with Protein/DNA language models (e.g., ProtBERT, ESM, Evo) or protein structure prediction models (e.g., AlphaFold-like approaches). Experience with evaluation frameworks for reaction and synthetic route design, including human-in-the-loop assessment and metrics for novelty, diversity, and feasibility of synthetic pathways. Strong experience with relational and non-relational databases (SQL/NoSQL), including data modeling and efficient querying for large-scale AI workflows. A portfolio of projects or open-source contributions (e.g., a GitHub profile) that demonstrates your skills and passion for AI/ML development. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW
London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it- their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces. We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication, the influence of inspiring coaches, and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below-starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports. We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email.
Apr 15, 2026
Full time
London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it- their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces. We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication, the influence of inspiring coaches, and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below-starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports. We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 15, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Purpose of Onyx The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions. Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines . click apply for full job details
Apr 15, 2026
Full time
Purpose of Onyx The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions. Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines . click apply for full job details
A leading technology company in the UK is seeking a Machine Learning Engineer. In this role, you will be responsible for the data lifecycle that fuels agent research. You'll design and build data pipelines, ensure data quality, and collaborate closely with research scientists. The ideal candidate should have strong skills in Python, experience with data workflows, and a collaborative approach. This opportunity offers competitive benefits and a dynamic work environment.
Apr 14, 2026
Full time
A leading technology company in the UK is seeking a Machine Learning Engineer. In this role, you will be responsible for the data lifecycle that fuels agent research. You'll design and build data pipelines, ensure data quality, and collaborate closely with research scientists. The ideal candidate should have strong skills in Python, experience with data workflows, and a collaborative approach. This opportunity offers competitive benefits and a dynamic work environment.
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Apr 14, 2026
Full time
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.
Apr 14, 2026
Full time
Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.
Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we'll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us! Location: Chiswick, London - Hybrid 2 days per week Sponsorship: We are unable to offer sponsorship for this role The Role Reporting to our Tech Director we are looking for a Data Lead to join the team. The Data Lead is responsible for leading the company's data driven transformation by building scalable, cutting edge data infrastructures and implementing advanced analytics and artificial intelligence (AI) strategies. This role will drive the company's data strategy to foster continuous innovation, ensure data driven decision making, and future prove the business by leveraging emerging trends in AI, machine learning, data automation, and real time insights. The Data Lead will oversee Data Engineering, Business Intelligence, and Data Science to ensure data remains a core asset that powers growth, customer centricity, and operational efficiency. Why So Energy? So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we're not done! We're on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer centric, tech led, and passionate about sustainability. We're driven to do our best for our customers, for each other, and for our planet. That's why we've built a workplace culture that's supportive, empowering, inclusive, and full of opportunities to grow and make an impact. At So Energy, we take pride in our values driven culture. We live and breathe by our six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable What you'll be getting up to in this role: Business Intelligence and Real Time Analytics: Drive the evolution of the company's BI capabilities from static reporting to dynamic, real time, and self service analytics, empowering teams with on demand insights. Develop and implement advanced data visualization platforms that are intuitive, interactive, and seamlessly integrated with business workflows to democratize data usage across the organization. Champion the use of augmented analytics, leveraging AI to automate data analysis and uncover hidden patterns and trends in real time, reducing reliance on manual reporting. Align BI efforts with business strategy, ensuring data insights inform critical decisions in customer engagement, marketing, product development, and operational efficiency. AI, Data Science, and Machine Learning for Competitive Advantage: Lead the Data Science and Machine Learning team in embedding predictive analytics and AI driven decision making across key business functions, from customer segmentation to operational forecasting. Explore and implement AI technologies such as natural language processing (NLP), computer vision, and recommendation systems to enhance customer experience and operational processes. Stay ahead of advancements in AI, focusing on the development of explainable AI models to ensure transparency and trust in decision making processes. Utilise cutting edge techniques such as federated learning and reinforcement learning to ensure the company can leverage data without compromising privacy, security, or scalability. Data Infrastructure and Engineering: Architect a future proof, scalable, and secure data infrastructure that leverages cloud native and edge computing technologies. Transition the organization towards a real time data pipeline architecture, facilitating immediate access to insights for faster business decisions. Oversee the development and automation of data pipelines and workflows to ensure data integrity, availability, and integration across various systems. Lead the exploration and implementation of advanced data technologies, including data lakes, event driven architectures, and microservices, to handle increasing volumes of structured and unstructured data. Leadership and Strategy for a Data Driven Organisation: Develop and champion a holistic data strategy that aligns with long term business goals and market trends, positioning data as a strategic asset across all departments. Promote a culture of data literacy and continuous learning, ensuring that every business function can interpret and act on data insights to drive results. Drive innovation by experimenting with emerging technologies, such as synthetic data generation, real time AI powered decision systems, and blockchain for data security. Collaborate with C suite executives to align data initiatives with corporate objectives and spearhead the company's journey to becoming a fully data driven organization. Collaboration and Stakeholder Management: Build strong cross functional relationships to ensure data solutions align with the needs of key stakeholders in departments like Finance, Operations, Customer Services, and Marketing. Proactively identify opportunities where data insights can drive new revenue streams, improve customer acquisition and retention, or enhance operational efficiency. Serve as the company's thought leader in data innovation, continuously educating the leadership team on the strategic potential of emerging data technologies. Foster collaboration between data engineers, data scientists, business analysts, and product teams to ensure seamless integration of data insights into product development and business operations. Future Readiness and Innovation: Constantly monitor and experiment with the latest trends in AI, data engineering, and analytics, ensuring the company remains a leader in data innovation. Explore opportunities in decentralized data architectures and multi cloud environments to enhance agility and resilience. Leverage advances in quantum computing and edge analytics to prepare the organization for next generation data challenges, such as ultra high speed decision making and processing vast datasets in real time. Cultivate partnerships with academic institutions, data science communities, and technology vendors to stay on the cutting edge of research and developments in data science and AI. You're a great match if: Passionate about Data: You have a deep passion for data and its potential to transform business operations and drive growth. You're always excited about uncovering new insights and applying them to solve complex business challenges. Curious and Innovative: You are constantly exploring the latest trends in data science, AI, and analytics, and you enjoy experimenting with emerging technologies to find creative solutions that push the boundaries of what's possible. Problem Solver: You thrive in solving intricate problems and can translate complex data into actionable insights. You enjoy navigating through ambiguity, breaking down challenges into manageable pieces, and finding solutions that deliver real impact to the business. Business-focused: You can translate technical data insights into business terms that drive growth. You don't just focus on the numbers-you focus on the value they bring to the company and its customers. Technologically Savvy: You are well versed in cutting edge data technologies such as cloud platforms, AI, and machine learning. You have experience working with tools like SQL, Python, and data visualization platforms like Looker or Tableau, and you're always eager to learn more. Strategic Thinker: You have a strong ability to align data initiatives with broader business objectives, ensuring that data remains a central part of the company's strategy. You're able to look beyond the numbers and understand the bigger picture, using data to guide long term decisions. Leader and Mentor: You are an empathetic and inspiring leader, able to mentor cross functional teams across Data Engineering, BI, and Data Science. You know how to foster innovation, encourage collaboration, and nurture a data driven culture within your teams. Innovator at heart: You are always looking for opportunities to drive the business forward through data, whether that's through exploring quantum computing for faster processing, or using AI for real time, actionable insights. You are not content with the status quo-you're always thinking ahead. Collaborative: You excel in working with various stakeholders, from senior leadership to technical teams, ensuring that data driven solutions are aligned with business needs. You are skilled at communicating complex ideas in a simple, relatable way, helping others see the value of data. Data Ethics Advocate: You understand the importance of data governance, compliance, and ethical AI practices, and you're committed to ensuring that data is used responsibly and in line with industry regulations. Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart . click apply for full job details
Apr 13, 2026
Full time
Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we'll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us! Location: Chiswick, London - Hybrid 2 days per week Sponsorship: We are unable to offer sponsorship for this role The Role Reporting to our Tech Director we are looking for a Data Lead to join the team. The Data Lead is responsible for leading the company's data driven transformation by building scalable, cutting edge data infrastructures and implementing advanced analytics and artificial intelligence (AI) strategies. This role will drive the company's data strategy to foster continuous innovation, ensure data driven decision making, and future prove the business by leveraging emerging trends in AI, machine learning, data automation, and real time insights. The Data Lead will oversee Data Engineering, Business Intelligence, and Data Science to ensure data remains a core asset that powers growth, customer centricity, and operational efficiency. Why So Energy? So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we're not done! We're on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer centric, tech led, and passionate about sustainability. We're driven to do our best for our customers, for each other, and for our planet. That's why we've built a workplace culture that's supportive, empowering, inclusive, and full of opportunities to grow and make an impact. At So Energy, we take pride in our values driven culture. We live and breathe by our six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable What you'll be getting up to in this role: Business Intelligence and Real Time Analytics: Drive the evolution of the company's BI capabilities from static reporting to dynamic, real time, and self service analytics, empowering teams with on demand insights. Develop and implement advanced data visualization platforms that are intuitive, interactive, and seamlessly integrated with business workflows to democratize data usage across the organization. Champion the use of augmented analytics, leveraging AI to automate data analysis and uncover hidden patterns and trends in real time, reducing reliance on manual reporting. Align BI efforts with business strategy, ensuring data insights inform critical decisions in customer engagement, marketing, product development, and operational efficiency. AI, Data Science, and Machine Learning for Competitive Advantage: Lead the Data Science and Machine Learning team in embedding predictive analytics and AI driven decision making across key business functions, from customer segmentation to operational forecasting. Explore and implement AI technologies such as natural language processing (NLP), computer vision, and recommendation systems to enhance customer experience and operational processes. Stay ahead of advancements in AI, focusing on the development of explainable AI models to ensure transparency and trust in decision making processes. Utilise cutting edge techniques such as federated learning and reinforcement learning to ensure the company can leverage data without compromising privacy, security, or scalability. Data Infrastructure and Engineering: Architect a future proof, scalable, and secure data infrastructure that leverages cloud native and edge computing technologies. Transition the organization towards a real time data pipeline architecture, facilitating immediate access to insights for faster business decisions. Oversee the development and automation of data pipelines and workflows to ensure data integrity, availability, and integration across various systems. Lead the exploration and implementation of advanced data technologies, including data lakes, event driven architectures, and microservices, to handle increasing volumes of structured and unstructured data. Leadership and Strategy for a Data Driven Organisation: Develop and champion a holistic data strategy that aligns with long term business goals and market trends, positioning data as a strategic asset across all departments. Promote a culture of data literacy and continuous learning, ensuring that every business function can interpret and act on data insights to drive results. Drive innovation by experimenting with emerging technologies, such as synthetic data generation, real time AI powered decision systems, and blockchain for data security. Collaborate with C suite executives to align data initiatives with corporate objectives and spearhead the company's journey to becoming a fully data driven organization. Collaboration and Stakeholder Management: Build strong cross functional relationships to ensure data solutions align with the needs of key stakeholders in departments like Finance, Operations, Customer Services, and Marketing. Proactively identify opportunities where data insights can drive new revenue streams, improve customer acquisition and retention, or enhance operational efficiency. Serve as the company's thought leader in data innovation, continuously educating the leadership team on the strategic potential of emerging data technologies. Foster collaboration between data engineers, data scientists, business analysts, and product teams to ensure seamless integration of data insights into product development and business operations. Future Readiness and Innovation: Constantly monitor and experiment with the latest trends in AI, data engineering, and analytics, ensuring the company remains a leader in data innovation. Explore opportunities in decentralized data architectures and multi cloud environments to enhance agility and resilience. Leverage advances in quantum computing and edge analytics to prepare the organization for next generation data challenges, such as ultra high speed decision making and processing vast datasets in real time. Cultivate partnerships with academic institutions, data science communities, and technology vendors to stay on the cutting edge of research and developments in data science and AI. You're a great match if: Passionate about Data: You have a deep passion for data and its potential to transform business operations and drive growth. You're always excited about uncovering new insights and applying them to solve complex business challenges. Curious and Innovative: You are constantly exploring the latest trends in data science, AI, and analytics, and you enjoy experimenting with emerging technologies to find creative solutions that push the boundaries of what's possible. Problem Solver: You thrive in solving intricate problems and can translate complex data into actionable insights. You enjoy navigating through ambiguity, breaking down challenges into manageable pieces, and finding solutions that deliver real impact to the business. Business-focused: You can translate technical data insights into business terms that drive growth. You don't just focus on the numbers-you focus on the value they bring to the company and its customers. Technologically Savvy: You are well versed in cutting edge data technologies such as cloud platforms, AI, and machine learning. You have experience working with tools like SQL, Python, and data visualization platforms like Looker or Tableau, and you're always eager to learn more. Strategic Thinker: You have a strong ability to align data initiatives with broader business objectives, ensuring that data remains a central part of the company's strategy. You're able to look beyond the numbers and understand the bigger picture, using data to guide long term decisions. Leader and Mentor: You are an empathetic and inspiring leader, able to mentor cross functional teams across Data Engineering, BI, and Data Science. You know how to foster innovation, encourage collaboration, and nurture a data driven culture within your teams. Innovator at heart: You are always looking for opportunities to drive the business forward through data, whether that's through exploring quantum computing for faster processing, or using AI for real time, actionable insights. You are not content with the status quo-you're always thinking ahead. Collaborative: You excel in working with various stakeholders, from senior leadership to technical teams, ensuring that data driven solutions are aligned with business needs. You are skilled at communicating complex ideas in a simple, relatable way, helping others see the value of data. Data Ethics Advocate: You understand the importance of data governance, compliance, and ethical AI practices, and you're committed to ensuring that data is used responsibly and in line with industry regulations. Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart . click apply for full job details
