We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 29, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Health Economist (Consultant) Location - London or Winchester with a MINIMUM of 2 days per week (40%) in the office with Tuesday as the team day In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together, health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. We have built a track record for leading approaches to real world evidence generation, health economic modelling, and innovative reimbursement design. We have been growing the team quickly in response to the demand we are seeing for the service offerings we have developed and now have a team of over 50 people working across four service areas of evidence generation, HEOR, market access, and integrated omics. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. Our work LCP's Health team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining LCP's Health team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements What will you be doing? As Consultant in LCP's Health team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods People responsibilities including the line management and development of less experienced members of the team, depending on your experience and interest What skills, experience and qualities are we looking for? Essential: Demonstrable, relevant experience in a Health Economics role in a consultancy environment A minimum 2:1 degree in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics with demonstrated experience in conceptualising and delivering a range of health economic analyses Excellent communication and presentation skills (written and oral) with the ability to explain complex issues to others Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Initiative in every aspect of your work and creativity in developing original solutions to problems Comfortable leading on day-to-day project activities and managing the workload of less experienced team members Agility to be able to work as part of a dynamic, growing team seeking to advance methods and leverage evolving technology, e.g., AI Comfortable engaging in a variety of project types, including across market access and evidence generation as needed with appropriate support Comfortable managing a fluctuating workload including regular multi-tasking across client projects, project management of client engagements, and the mentoring and coordination of less experienced team members Commitment to consistently delivering high quality work for clients which may, from time to time, require extra hours to be worked Desirable: Programming experience in R or Python Experience in methods for external comparator arms (e.g. MAIC and similar methods) Experience working on HTA submissions Experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in business development activities, including proposal writing and pitch presentations What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holidayPrivate medical insuranceDiscou
Apr 27, 2026
Full time
Health Economist (Consultant) Location - London or Winchester with a MINIMUM of 2 days per week (40%) in the office with Tuesday as the team day In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together, health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. We have built a track record for leading approaches to real world evidence generation, health economic modelling, and innovative reimbursement design. We have been growing the team quickly in response to the demand we are seeing for the service offerings we have developed and now have a team of over 50 people working across four service areas of evidence generation, HEOR, market access, and integrated omics. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. Our work LCP's Health team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining LCP's Health team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements What will you be doing? As Consultant in LCP's Health team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods People responsibilities including the line management and development of less experienced members of the team, depending on your experience and interest What skills, experience and qualities are we looking for? Essential: Demonstrable, relevant experience in a Health Economics role in a consultancy environment A minimum 2:1 degree in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics with demonstrated experience in conceptualising and delivering a range of health economic analyses Excellent communication and presentation skills (written and oral) with the ability to explain complex issues to others Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Initiative in every aspect of your work and creativity in developing original solutions to problems Comfortable leading on day-to-day project activities and managing the workload of less experienced team members Agility to be able to work as part of a dynamic, growing team seeking to advance methods and leverage evolving technology, e.g., AI Comfortable engaging in a variety of project types, including across market access and evidence generation as needed with appropriate support Comfortable managing a fluctuating workload including regular multi-tasking across client projects, project management of client engagements, and the mentoring and coordination of less experienced team members Commitment to consistently delivering high quality work for clients which may, from time to time, require extra hours to be worked Desirable: Programming experience in R or Python Experience in methods for external comparator arms (e.g. MAIC and similar methods) Experience working on HTA submissions Experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in business development activities, including proposal writing and pitch presentations What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holidayPrivate medical insuranceDiscou
200 staff. Limitless Potential. One team. Cancer Research Horizons. Senior Scientist (Protein Sciences - Small Molecule) £41,700 - £51,300 plus benefits Department: Therapeutic Innovation, R&I Reports to: Principal Scientist Location : CRUK Scotland Institute, Glasgow with Low flex (Lab Based) Contract type/hours: Permanent Contract, Full time 35 hours per week Closing date: Friday 1st May :55pm Interview Date: Approximately week commencing 11th May Interview process: Competency based interview with task/presentation At Cancer Research UK, we exist to beat cancer. We have an exciting opportunity for a Senior Scientist in Protein Sciences to join Cancer Research Horizons in our Glasgow lab. You'll lead the expression, purification and QC of protein antigens and related molecules (small molecule drug discovery focus), all of which play a critical role in driving our screening and crystallography programmes. Working primarily across bacterial and insect systems, you'll deliver high quality, well characterised proteins using a range of biochemical and biophysical methods. You'll collaborate closely with multidisciplinary drug discovery teams, communicate insights clearly, drive strategic decisions, innovate across the existing pipeline, bring strong scientific leadership the team, and help ensure a safe, efficient lab environment. You'll collaborate closely with multi disciplinary teams, communicate insights clearly, maintain high quality electronic records and help ensure a safe, efficient lab environment. We're looking for candidates with a PhD (or equivalent experience) in Molecular/Protein Sciences, Chemistry with substantial drug discovery experience, with strong protein production and molecular biology expertise. This is a high impact role that advances our discoveries. If you're adaptable, driven, and ready to make a scientific impact, this is your chance to contribute. Every role at CRH is united by a single mission: beating cancer sooner. We carry out work that matters - impacting patients, families, and the future of science. discovery experience, with strong molecular biology, protein purification based expertise. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) Bring new treatments to patients faster and 2) Tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, you'll be joining over 200 staff from both industrial and academic backgrounds, all dedicated to bringing forward the day we cure cancer. What will you be doing? Expression and purification of recombinant proteins using bacterial and insect systems to support screening and crystallography programmes Ensure all production is sufficiently characterised and QC'd using appropriate biochemical and biophysical methods Interpret, analyse and clearly summarise data for presentation to varied audiences Work collaboratively within multi disciplinary research teams Communicate effectively, demonstrating openness and respect for others' perspectives Prioritise workload according to project objectives and take responsibility for timely delivery Drive scientific and technical innovation, including through internal and external collaborations, while staying current with developments in the field Maintain accurate and up to date electronic laboratory notebook records Take responsibility for assigned laboratory equipment and associated duties Uphold safe, compliant and effective working practices What are we looking for? PhD or equivalent in Molecular Sciences, Protein Sciences, Chemistry or significant experience within a drug discovery environment Significant experience in providing protein production & molecular biology expertise to enable drug discovery projects Ability to work in a fast-paced, quickly changing environment, showing agility/flexibility to meet deadlines and goals with a can-do attitude Use of current molecular biology techniques (PCR, cloning) to construct expression vectors and isolate genes Purification of tagged and native proteins via manual, AKTA and automated purification platforms using a range of chromatographic techniques Protein analytical techniques - e.g. protein quantitation assays, SDS-PAGE analysis, HPLC, Western Blotting and protein modifications e.g. biotinylation Track record of delivering results across a diverse project portfolio by leading and driving strategic and scientific initiatives Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience, we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
Apr 24, 2026
Full time
200 staff. Limitless Potential. One team. Cancer Research Horizons. Senior Scientist (Protein Sciences - Small Molecule) £41,700 - £51,300 plus benefits Department: Therapeutic Innovation, R&I Reports to: Principal Scientist Location : CRUK Scotland Institute, Glasgow with Low flex (Lab Based) Contract type/hours: Permanent Contract, Full time 35 hours per week Closing date: Friday 1st May :55pm Interview Date: Approximately week commencing 11th May Interview process: Competency based interview with task/presentation At Cancer Research UK, we exist to beat cancer. We have an exciting opportunity for a Senior Scientist in Protein Sciences to join Cancer Research Horizons in our Glasgow lab. You'll lead the expression, purification and QC of protein antigens and related molecules (small molecule drug discovery focus), all of which play a critical role in driving our screening and crystallography programmes. Working primarily across bacterial and insect systems, you'll deliver high quality, well characterised proteins using a range of biochemical and biophysical methods. You'll collaborate closely with multidisciplinary drug discovery teams, communicate insights clearly, drive strategic decisions, innovate across the existing pipeline, bring strong scientific leadership the team, and help ensure a safe, efficient lab environment. You'll collaborate closely with multi disciplinary teams, communicate insights clearly, maintain high quality electronic records and help ensure a safe, efficient lab environment. We're looking for candidates with a PhD (or equivalent experience) in Molecular/Protein Sciences, Chemistry with substantial drug discovery experience, with strong protein production and molecular biology expertise. This is a high impact role that advances our discoveries. If you're adaptable, driven, and ready to make a scientific impact, this is your chance to contribute. Every role at CRH is united by a single mission: beating cancer sooner. We carry out work that matters - impacting patients, families, and the future of science. discovery experience, with strong molecular biology, protein purification based expertise. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) Bring new treatments to patients faster and 2) Tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, you'll be joining over 200 staff from both industrial and academic backgrounds, all dedicated to bringing forward the day we cure cancer. What will you be doing? Expression and purification of recombinant proteins using bacterial and insect systems to support screening and crystallography programmes Ensure all production is sufficiently characterised and QC'd using appropriate biochemical and biophysical methods Interpret, analyse and clearly summarise data for presentation to varied audiences Work collaboratively within multi disciplinary research teams Communicate effectively, demonstrating openness and respect for others' perspectives Prioritise workload according to project objectives and take responsibility for timely delivery Drive scientific and technical innovation, including through internal and external collaborations, while staying current with developments in the field Maintain accurate and up to date electronic laboratory notebook records Take responsibility for assigned laboratory equipment and associated duties Uphold safe, compliant and effective working practices What are we looking for? PhD or equivalent in Molecular Sciences, Protein Sciences, Chemistry or significant experience within a drug discovery environment Significant experience in providing protein production & molecular biology expertise to enable drug discovery projects Ability to work in a fast-paced, quickly changing environment, showing agility/flexibility to meet deadlines and goals with a can-do attitude Use of current molecular biology techniques (PCR, cloning) to construct expression vectors and isolate genes Purification of tagged and native proteins via manual, AKTA and automated purification platforms using a range of chromatographic techniques Protein analytical techniques - e.g. protein quantitation assays, SDS-PAGE analysis, HPLC, Western Blotting and protein modifications e.g. biotinylation Track record of delivering results across a diverse project portfolio by leading and driving strategic and scientific initiatives Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience, we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting-edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind . Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 22, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting-edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind . Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
# Fission PrincipalSystems Engineering Job DetailsLocationBristol, United KingdomEmployment TypeFull-timeLevelIndividual ContributorPosted9 days agoIn a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety-critical or highly regulated industries to solve critical, complex, and high-stakes challenges using machine learning and uncertainty quantification.From forging a path to clean energy to life-saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through.Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision-makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions. Summary: The Fission Principal at digiLab is a strategic and results-driven role responsible for driving growth and strengthening the company's presence within the Fission market. This individual will be passionate about driving innovation via the adoption of ML/AI in the Fission market. They will be a champion for digiLab in the target market and play a key role in developing and executing sector-specific business development strategies. They will build and manage a robust network of strategic clients and partners, deepen long-term relationships, and collaborate closely with cross-functional teams-including Sales, Marketing, Product, and theLab-to support sustained sector growth and contribute to the company's overall market expansion objectives.The position operates on a 4-day workweek (Monday to Thursday) with regular travel to client sites and other digiLab office locations. The Role: As Fission Principal at digiLab, you will be responsible for: Creating and executing sector-specific business development strategies in alignment with the company's growth objectives and overall business strategy Building, qualifying, and managing a strong pipeline of strategic clients and partners within the Fission sector Establishing and maintaining long-term, high-value client and partner relationships to support sustained sector growth Collaborating with Product, the Lab, and Marketing to provide sector insights, customer feedback, and market intelligence that inform roadmap, platform, and marketing priorities Partnering with Sales and Marketing to ensure smooth handoff of qualified opportunities and alignment on go-to-market strategies for the sector Monitoring sector trends, competitive dynamics, and regulatory considerations to inform growth priorities Tracking and reporting on pipeline quality, client engagement, and sector-specific growth metrics Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth. Required Skills: Significant experience in business development, partnerships, or sales within the Fission industry Proven ability to build and maintain long-term client and partner relationships Strong understanding of Fission industry market dynamics, trends, and regulatory landscape Technical domain expertise in the Fission industry Excellent communication, presentation, and stakeholder management skills Ability to work collaboratively across Product, R&D, Sales, and Marketing teams Strong analytical skills with the ability to use data to inform pipeline development and sector strategy In addition, some 'nice to haves' are: Experience in a technology, deep tech, or SaaS environment Familiarity with enterprise-level strategic partnerships Computational competence, with experience performing data analysis (Python and modelling experience would be an asset) Experience contributing to international or cross-sector expansion initiatives Location: This role will be based in either our Exeter, Bristol or Oxford offices or potentially remotely/hybrid, if the location is strategically advantageous. It also involves frequent travel to client sites and attendance at conferences both within the UK and internationally. Our Culture and Values We foster a culture of innovation, trust, and collaboration. Our values include: Creativity & Agility: Encouraging innovation and flexibility in goal achievement. Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation. Open & Honest Collaboration: Ensuring transparent communication and alignment. High-Performance Standards: Continuously challenging ourselves to excel in delivery. Value-Driven Work: Regularly assessing our contributions toward company goals. Equal Opportunities: digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously. Final Note: We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. The information you provide will be stored and used in line with our Privacy Notice.Get Fusion Job AlertsNew fusion energy jobs delivered to your inbox.LocationBristol, United Kingdom
Apr 22, 2026
Full time
# Fission PrincipalSystems Engineering Job DetailsLocationBristol, United KingdomEmployment TypeFull-timeLevelIndividual ContributorPosted9 days agoIn a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety-critical or highly regulated industries to solve critical, complex, and high-stakes challenges using machine learning and uncertainty quantification.From forging a path to clean energy to life-saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through.Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision-makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions. Summary: The Fission Principal at digiLab is a strategic and results-driven role responsible for driving growth and strengthening the company's presence within the Fission market. This individual will be passionate about driving innovation via the adoption of ML/AI in the Fission market. They will be a champion for digiLab in the target market and play a key role in developing and executing sector-specific business development strategies. They will build and manage a robust network of strategic clients and partners, deepen long-term relationships, and collaborate closely with cross-functional teams-including Sales, Marketing, Product, and theLab-to support sustained sector growth and contribute to the company's overall market expansion objectives.The position operates on a 4-day workweek (Monday to Thursday) with regular travel to client sites and other digiLab office locations. The Role: As Fission Principal at digiLab, you will be responsible for: Creating and executing sector-specific business development strategies in alignment with the company's growth objectives and overall business strategy Building, qualifying, and managing a strong pipeline of strategic clients and partners within the Fission sector Establishing and maintaining long-term, high-value client and partner relationships to support sustained sector growth Collaborating with Product, the Lab, and Marketing to provide sector insights, customer feedback, and market intelligence that inform roadmap, platform, and marketing priorities Partnering with Sales and Marketing to ensure smooth handoff of qualified opportunities and alignment on go-to-market strategies for the sector Monitoring sector trends, competitive dynamics, and regulatory considerations to inform growth priorities Tracking and reporting on pipeline quality, client engagement, and sector-specific growth metrics Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth. Required Skills: Significant experience in business development, partnerships, or sales within the Fission industry Proven ability to build and maintain long-term client and partner relationships Strong understanding of Fission industry market dynamics, trends, and regulatory landscape Technical domain expertise in the Fission industry Excellent communication, presentation, and stakeholder management skills Ability to work collaboratively across Product, R&D, Sales, and Marketing teams Strong analytical skills with the ability to use data to inform pipeline development and sector strategy In addition, some 'nice to haves' are: Experience in a technology, deep tech, or SaaS environment Familiarity with enterprise-level strategic partnerships Computational competence, with experience performing data analysis (Python and modelling experience would be an asset) Experience contributing to international or cross-sector expansion initiatives Location: This role will be based in either our Exeter, Bristol or Oxford offices or potentially remotely/hybrid, if the location is strategically advantageous. It also involves frequent travel to client sites and attendance at conferences both within the UK and internationally. Our Culture and Values We foster a culture of innovation, trust, and collaboration. Our values include: Creativity & Agility: Encouraging innovation and flexibility in goal achievement. Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation. Open & Honest Collaboration: Ensuring transparent communication and alignment. High-Performance Standards: Continuously challenging ourselves to excel in delivery. Value-Driven Work: Regularly assessing our contributions toward company goals. Equal Opportunities: digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously. Final Note: We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. The information you provide will be stored and used in line with our Privacy Notice.Get Fusion Job AlertsNew fusion energy jobs delivered to your inbox.LocationBristol, United Kingdom
The Rosalind Franklin Institute
Harwell, Oxfordshire
Research Software Engineer As a Research Software Engineer (RSE) at the Franklin, you will bring scientific research and computational skills to develop scientific software, apply artificial intelligence (AI) and data science to solve scientific challenges and develop compute and data infrastructure to accelerate scientific workloads. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally in the Research Software Engineering community and beyond. A successful candidate will be working collaboratively with our research project teams to provide expert advice and assistance as they tackle challenging problems across the scientific disciplines at the Franklin. They will also work on developing centralised data and compute infrastructure including High Performance Computing (HPC), cloud and data storage/management. The Franklin faces cutting edge technological challenges, and by leveraging software development in tandem with scientific discovery, it presents a unique and exciting environment for Research Software Engineering. We are a lean, agile and collaborative team that works on a wide variety of scientific and infrastructure projects. As an RSE in the Advanced Research Computing platform (ARC) you will be working on developing software and technology solutions to drive AI research in bioscience, implementing best practices for scientific data management, and leveraging cloud and HPC platforms to provide powerful compute capabilities to our users. In this role, your contribution will help to deliver the Franklin s mission to drive forward technology development in the life sciences. Key Responsibilities As a Research Software Engineer you will: Develop and deploy bespoke scientific software, collaborating with scientists across the Franklin, and making the best use of our existing data infrastructure. This can include web applications, APIs, machine learning tools, and image processing pipelines. Utilise good software development practices such as CI/CD, writing tests, documentation, and using installers where appropriate. Requirements gathering; being able to convert discussions with scientists into a software development specific and implementation plan. Create and maintain a comprehensive and up to date best practice documentation for all members of the Franklin. Provide user support and service management (e.g. training, writing documentation). Learn to develop and maintain the Franklin s Cloud/HPC/Data infrastructure. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in Research Software Engineering, HPC, Cloud or Research Data Management. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Senior RSE in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff
Apr 20, 2026
Full time
Research Software Engineer As a Research Software Engineer (RSE) at the Franklin, you will bring scientific research and computational skills to develop scientific software, apply artificial intelligence (AI) and data science to solve scientific challenges and develop compute and data infrastructure to accelerate scientific workloads. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally in the Research Software Engineering community and beyond. A successful candidate will be working collaboratively with our research project teams to provide expert advice and assistance as they tackle challenging problems across the scientific disciplines at the Franklin. They will also work on developing centralised data and compute infrastructure including High Performance Computing (HPC), cloud and data storage/management. The Franklin faces cutting edge technological challenges, and by leveraging software development in tandem with scientific discovery, it presents a unique and exciting environment for Research Software Engineering. We are a lean, agile and collaborative team that works on a wide variety of scientific and infrastructure projects. As an RSE in the Advanced Research Computing platform (ARC) you will be working on developing software and technology solutions to drive AI research in bioscience, implementing best practices for scientific data management, and leveraging cloud and HPC platforms to provide powerful compute capabilities to our users. In this role, your contribution will help to deliver the Franklin s mission to drive forward technology development in the life sciences. Key Responsibilities As a Research Software Engineer you will: Develop and deploy bespoke scientific software, collaborating with scientists across the Franklin, and making the best use of our existing data infrastructure. This can include web applications, APIs, machine learning tools, and image processing pipelines. Utilise good software development practices such as CI/CD, writing tests, documentation, and using installers where appropriate. Requirements gathering; being able to convert discussions with scientists into a software development specific and implementation plan. Create and maintain a comprehensive and up to date best practice documentation for all members of the Franklin. Provide user support and service management (e.g. training, writing documentation). Learn to develop and maintain the Franklin s Cloud/HPC/Data infrastructure. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in Research Software Engineering, HPC, Cloud or Research Data Management. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Senior RSE in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff
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. Key Responsibilities Develop and ownthe D&Dcommunications and engagement strategy, leading all actions aligned to the plans. Advisesenior leadership, shapingmessaging,and enabling two-way communication. Lead high-quality, multi-channel communications. Regularly evaluate communication effectiveness using insights and data. Strengthen culture, communityacross Digital & Data Build andmaintaintrusted relationships with senior Digital & Data leaders, challenging and advising appropriately. Strengthen an internal network across functions (Internal Comms, HR, Talent, Inclusion & Engagement). Use your network to advocate for Digital & Data colleagues and connect people across PA. Using pulse surveydata,you will leadStream wideinitiatives, campaigns, or workstreams, ensuring clear structure,objectives, and outcomes. Lead rank-based forums and line managerforumsfor the stream Run regular listening circles for underrepresented groups, in line with pulse survey Build collaborative, inclusive environments that help teams thrive and perform. Lead or contribute to Digital & Data strategic initiatives,transformationprogrammesand culture building efforts. Introduce new tools, technologies, and ideas to improve communications and community building. Demonstrate excellence in communication strategy, content creation, engagement design, and change communications. Stay up to date with trends in internal communication, digital engagement, and employee experience. Promote best practice and role model communication excellence across the firm. Linemanageteam members(2)andproject teams, providing coaching, feedback, and development conversations. Create psychologically safe environments where teams can share ideas, innovate, and develop. Work with our marketing team to support external marketing campaigns; The Intelligent Enterprise Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Qualifications About you You thrive on bringing teamstogether across the firm to driveengagement. You care about people experience andchampionwellbeing and I&D at every opportunity.You love to apply creative and innovative approaches to solving complexcommunications andengagement challenges. To be successful in this roleyou'llneed a good understanding of internal communications and employee engagement, event management, and market trends. The person in this role needs to be action and results oriented, taking an insights-driven approach tomonitorand implement initiatives to continuously improve employee engagement.You'llcreate opportunities for two-way engagement so that employees' voices are heard by senior leaders. WhatWe'reLooking For Senior levelinternal communications or engagement experience in digital, tech, ordata ledenvironments. Proven ability to design and implement communication strategies that engage diverse audiences. Exceptional written, visual, and verbal communication skills. Experience using digital engagement tools, metrics, and insights. Ability to manage multiple priorities in a fast-pacedenvironment. Creative, strategic thinker with a passion for culture, engagement, digital communities, and employee experience. Skilled at navigating complexity and leading through ambiguity. Enthusiastic about building community and enabling others to succeed. Passionate about people and making a difference. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application 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 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 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, or 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 19, 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. Key Responsibilities Develop and ownthe D&Dcommunications and engagement strategy, leading all actions aligned to the plans. Advisesenior leadership, shapingmessaging,and enabling two-way communication. Lead high-quality, multi-channel communications. Regularly evaluate communication effectiveness using insights and data. Strengthen culture, communityacross Digital & Data Build andmaintaintrusted relationships with senior Digital & Data leaders, challenging and advising appropriately. Strengthen an internal network across functions (Internal Comms, HR, Talent, Inclusion & Engagement). Use your network to advocate for Digital & Data colleagues and connect people across PA. Using pulse surveydata,you will leadStream wideinitiatives, campaigns, or workstreams, ensuring clear structure,objectives, and outcomes. Lead rank-based forums and line managerforumsfor the stream Run regular listening circles for underrepresented groups, in line with pulse survey Build collaborative, inclusive environments that help teams thrive and perform. Lead or contribute to Digital & Data strategic initiatives,transformationprogrammesand culture building efforts. Introduce new tools, technologies, and ideas to improve communications and community building. Demonstrate excellence in communication strategy, content creation, engagement design, and change communications. Stay up to date with trends in internal communication, digital engagement, and employee experience. Promote best practice and role model communication excellence across the firm. Linemanageteam members(2)andproject teams, providing coaching, feedback, and development conversations. Create psychologically safe environments where teams can share ideas, innovate, and develop. Work with our marketing team to support external marketing campaigns; The Intelligent Enterprise Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Qualifications About you You thrive on bringing teamstogether across the firm to driveengagement. You care about people experience andchampionwellbeing and I&D at every opportunity.You love to apply creative and innovative approaches to solving complexcommunications andengagement challenges. To be successful in this roleyou'llneed a good understanding of internal communications and employee engagement, event management, and market trends. The person in this role needs to be action and results oriented, taking an insights-driven approach tomonitorand implement initiatives to continuously improve employee engagement.You'llcreate opportunities for two-way engagement so that employees' voices are heard by senior leaders. WhatWe'reLooking For Senior levelinternal communications or engagement experience in digital, tech, ordata ledenvironments. Proven ability to design and implement communication strategies that engage diverse audiences. Exceptional written, visual, and verbal communication skills. Experience using digital engagement tools, metrics, and insights. Ability to manage multiple priorities in a fast-pacedenvironment. Creative, strategic thinker with a passion for culture, engagement, digital communities, and employee experience. Skilled at navigating complexity and leading through ambiguity. Enthusiastic about building community and enabling others to succeed. Passionate about people and making a difference. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application 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 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 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, or 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
BiologIC Technologies is pioneering a new era in biologics development with Qudos, our high-performance, production grade bioprocessing platform. Qudos enables scientists and engineers to master biologics faster by combining cutting-edge processing power and reproducibility. Mastery is built on truth, and Qudos delivers the accuracy and scalability needed to accelerate discovery and development of advanced biologics. We are looking for aFluidics Engineer to help us push the boundaries of pressure-driven microfluidic control, enabling next-generation life science and biotech applications. About the Role You will take ownership of the design, integration and characterisation of precision pressure and flow-based microfluidic systems, from concept through to validated prototypes. Working at the interface of mechanical, electronic and software disciplines, you will architect and deliver systems capable of sub-microlitre control, fast response, and robust repeatability. This is a hands-on role for an engineer who thrives on building, testing and iterating, bringing together the art of micro-valving, sensing and control with solid experimental rigour. What You Will Do Design and implement pressure-driven microfluidic systems capable of stable flow at nanolitre-microlitre scales. Develop micro-valve and pneumatic routing architectures, including solenoid manifolds and flow control networks. Integrate and calibrate flow and pressure sensors for closed-loop control, ensuring sub-µL dispense precision. Tune and validate PID control loops for flow and pressure stability. Design, model, and fabricate microfluidic manifolds and chips using CAD tools (SolidWorks, Fusion 360). Build and test prototypes using rapid fabrication methods (soft lithography, laser cutting, CNC micro-milling, polymer moulding). Characterise system performance using fluorescence, imaging, or gravimetric analysis to quantify precision and reproducibility. Collaborate with electronics and firmware teams to ensure seamless system integration and data acquisition. Document test results and calibration data in line with GMP design controls. About You We are looking for someone who combines deep technical expertise with curiosity and practical problem-solving. Ideally, you have: Expertise in microfluidic pressure/flow system design - especially pneumatic control at µL scale. Experience building and validating valve manifolds or flow routing networks. Strong integration skills across sensors, actuators, and control electronics. Demonstrated ability to achieve sub-2 µL dispense precision with repeatable, validated data. Hands on prototyping experience, from CAD design to fabrication and testing. Analytical mindset, able to design and execute experiments for flow accuracy and stability. Experince with comsol multiphysics. Familiarity with GMP materials, process compliance and traceability. Excellent cross-disciplinary communication with software, hardware and analytical teams. Why Join Us? As part of our collaborative, innovation-focused team, you will help shape the next generation of life science automation systems. This role gives you the autonomy to innovate, the support to deliver and the satisfaction of seeing your designs enable real scientific breakthroughs. We believe in creativity, precision and seamless integration, and we are excited to see how your expertise can help us push the boundaries even further.
Apr 19, 2026
Full time
BiologIC Technologies is pioneering a new era in biologics development with Qudos, our high-performance, production grade bioprocessing platform. Qudos enables scientists and engineers to master biologics faster by combining cutting-edge processing power and reproducibility. Mastery is built on truth, and Qudos delivers the accuracy and scalability needed to accelerate discovery and development of advanced biologics. We are looking for aFluidics Engineer to help us push the boundaries of pressure-driven microfluidic control, enabling next-generation life science and biotech applications. About the Role You will take ownership of the design, integration and characterisation of precision pressure and flow-based microfluidic systems, from concept through to validated prototypes. Working at the interface of mechanical, electronic and software disciplines, you will architect and deliver systems capable of sub-microlitre control, fast response, and robust repeatability. This is a hands-on role for an engineer who thrives on building, testing and iterating, bringing together the art of micro-valving, sensing and control with solid experimental rigour. What You Will Do Design and implement pressure-driven microfluidic systems capable of stable flow at nanolitre-microlitre scales. Develop micro-valve and pneumatic routing architectures, including solenoid manifolds and flow control networks. Integrate and calibrate flow and pressure sensors for closed-loop control, ensuring sub-µL dispense precision. Tune and validate PID control loops for flow and pressure stability. Design, model, and fabricate microfluidic manifolds and chips using CAD tools (SolidWorks, Fusion 360). Build and test prototypes using rapid fabrication methods (soft lithography, laser cutting, CNC micro-milling, polymer moulding). Characterise system performance using fluorescence, imaging, or gravimetric analysis to quantify precision and reproducibility. Collaborate with electronics and firmware teams to ensure seamless system integration and data acquisition. Document test results and calibration data in line with GMP design controls. About You We are looking for someone who combines deep technical expertise with curiosity and practical problem-solving. Ideally, you have: Expertise in microfluidic pressure/flow system design - especially pneumatic control at µL scale. Experience building and validating valve manifolds or flow routing networks. Strong integration skills across sensors, actuators, and control electronics. Demonstrated ability to achieve sub-2 µL dispense precision with repeatable, validated data. Hands on prototyping experience, from CAD design to fabrication and testing. Analytical mindset, able to design and execute experiments for flow accuracy and stability. Experince with comsol multiphysics. Familiarity with GMP materials, process compliance and traceability. Excellent cross-disciplinary communication with software, hardware and analytical teams. Why Join Us? As part of our collaborative, innovation-focused team, you will help shape the next generation of life science automation systems. This role gives you the autonomy to innovate, the support to deliver and the satisfaction of seeing your designs enable real scientific breakthroughs. We believe in creativity, precision and seamless integration, and we are excited to see how your expertise can help us push the boundaries even further.
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.
Job Description: DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone. Machine Learning Ops Engineer Location: Erskine, Newcastle, Farnborough or London Candidates must be eligible for clearance Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment. If you don't meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn. Key Responsibilities Deploying, monitoring, and scaling machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with cloud-native ML platforms is advantageous. Why Join Us Be part of a cutting-edge AI community driving digital transformation across the UKI. Work at the intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoption within some of the UK's most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Apr 18, 2026
Full time
Job Description: DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone. Machine Learning Ops Engineer Location: Erskine, Newcastle, Farnborough or London Candidates must be eligible for clearance Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment. If you don't meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn. Key Responsibilities Deploying, monitoring, and scaling machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with cloud-native ML platforms is advantageous. Why Join Us Be part of a cutting-edge AI community driving digital transformation across the UKI. Work at the intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoption within some of the UK's most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Do you want to work to make Power for Good? We're the world's largest independent renewable energy company. We're driven by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers rewards and benefits including pension schemes, flexible working, and top-down emphasis on better work-life balance. We also offer private healthcare, discounted green travel, 25 days holiday with options to buy/sell days, enhanced family leave and four volunteering days per year so you can make a difference somewhere else. Please note this position is a 24 month fixed term contract. The position We are seeking a skilled Data Engineer with expertise in Databricks to join our asset performance management software team, within our Digital Solutions business. Working with other data engineers, and our platform team, you will be responsible for designing, building, and optimizing scalable data pipelines using the Databricks platform. This role is ideal for someone passionate about big data technologies, cloud platforms, and enabling data-driven analytics and ML to report and improve on the performance of renewable assets. Accountabilities Design, develop, and maintain robust data pipelines using DLT on Databricks. Collaborate with software engineers, data scientists and platform engineers to understand data requirements and deliver high-quality solutions. Implement ETL/ELT processes to ingest, transform, and store data from various sources (structured and unstructured). Optimize performance and cost-efficiency of data workflows on Databricks. Ensure data quality, integrity, and governance through validation, monitoring, and documentation. Develop reusable components and frameworks to accelerate data engineering efforts. Support CI/CD practices and automation for data pipeline deployment. Stay current with Databricks features and best practices, and advocate for their adoption. Knowledge Solid understanding of data modelling, warehousing concepts, and distributed computing. Familiarity with Delta Lake and Unity Catalog. Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA). Skills Strong programming skills in Python and SQL. Experience with version control (e.g., Git) and CI/CD tools. Excellent problem-solving and communication skills, both written and oral. Experience Proven experience as a Data Engineer with hands on expertise in Databricks and DLT. Experience with cloud data platforms, ideally Azure but experience with AWS or Google would be an advantage. Exposure to machine learning workflows and integration with ML models. Delivering results working in a distributed, cross functional team. Qualifications At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
Apr 17, 2026
Full time
Do you want to work to make Power for Good? We're the world's largest independent renewable energy company. We're driven by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers rewards and benefits including pension schemes, flexible working, and top-down emphasis on better work-life balance. We also offer private healthcare, discounted green travel, 25 days holiday with options to buy/sell days, enhanced family leave and four volunteering days per year so you can make a difference somewhere else. Please note this position is a 24 month fixed term contract. The position We are seeking a skilled Data Engineer with expertise in Databricks to join our asset performance management software team, within our Digital Solutions business. Working with other data engineers, and our platform team, you will be responsible for designing, building, and optimizing scalable data pipelines using the Databricks platform. This role is ideal for someone passionate about big data technologies, cloud platforms, and enabling data-driven analytics and ML to report and improve on the performance of renewable assets. Accountabilities Design, develop, and maintain robust data pipelines using DLT on Databricks. Collaborate with software engineers, data scientists and platform engineers to understand data requirements and deliver high-quality solutions. Implement ETL/ELT processes to ingest, transform, and store data from various sources (structured and unstructured). Optimize performance and cost-efficiency of data workflows on Databricks. Ensure data quality, integrity, and governance through validation, monitoring, and documentation. Develop reusable components and frameworks to accelerate data engineering efforts. Support CI/CD practices and automation for data pipeline deployment. Stay current with Databricks features and best practices, and advocate for their adoption. Knowledge Solid understanding of data modelling, warehousing concepts, and distributed computing. Familiarity with Delta Lake and Unity Catalog. Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA). Skills Strong programming skills in Python and SQL. Experience with version control (e.g., Git) and CI/CD tools. Excellent problem-solving and communication skills, both written and oral. Experience Proven experience as a Data Engineer with hands on expertise in Databricks and DLT. Experience with cloud data platforms, ideally Azure but experience with AWS or Google would be an advantage. Exposure to machine learning workflows and integration with ML models. Delivering results working in a distributed, cross functional team. Qualifications At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
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 a culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications We are seeking a Customer Contact Technology Specialist at Principal Consultant level to lead technology-driven transformation in customer contact environments. We are specifically looking for someone who can develop Customer contact strategy where technology is an enabler. This role combines deep expertise in Contact Centre technology, AI innovation, and consulting delivery to help clients modernise and optimise their customer engagement strategies. Core Responsibilities: Work with strategic technology partners and alliances to identify opportunities for AI-based services tailored to contact centre use cases. Shape joint propositions and support go-to-market initiatives with partners. Product Ownership Take ownership of the development and roadmap for KAIWA, our AI coaching and analytics solution. Support sales enablement, client demos, and delivery of KAIWA engagements. Support development of business cases and options for clients. Technology Change Leadership Act as a subject matter expert in technology-based change for customer contact, preferably within Financial Services (FS) or Public Sector (PS). Advise clients on business readiness, change management, and operational impact of new technologies. CCaaS Platform Expertise Lead or support rollouts of new CCaaS platforms (e.g., Five9, Genesys, NICE CXone). Deliver overlay consulting services including business readiness assessments, change management plans, and operational transition support. Shape and deliver CRM transformation programmes integrated with contact centre technology. Ensure alignment between CRM and CCaaS platforms for seamless customer experience. Thought Leadership & Advisory Develop frameworks, best practices, and accelerators for AI adoption in contact centres. Contribute to industry thought leadership through blogs, webinars, and client workshops. Qualifications Essential requirements Proven experience delivering t echnology transformation in contact centres, including AI and CCaaS deployments. Strong understanding of customer experience operations, contact centre KPIs, and digital engagement strategies. Expertise in business readiness, change management, and stakeholder engagement for technology rollouts. Familiarity with AI/GenAI applications for customer contact (e.g., knowledge management, agent assist, conversational AI). Confident with Data analysis and shaping benefits cases Experience shaping and delivering CRM programmes integrated with contact centre technology. Experience working with Financial Services or Public Sector clients preferred. Ability to collaborate with alliances and technology vendors to shape joint propositions. Preferably an Operational Practitioner who has transitioned into a consulting role so combines Operational experience with Consulting disciplines Knowledge of compliance and best practices in AI for CX. Experience in developing SaaS products or IP for contact centre environments. Consulting background with strong client-facing skills and commercial acumen, coupled with operational experience. Ability to deliver general consulting engagements. Strong internal and external networking skills. A recognised contributor to Industry thought leadership. Experience with CRM deployments would be advantageous. Be a recognised leader in the Customer contact field experienced with influencing at C-level. Additional information 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, or other by 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 a culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications We are seeking a Customer Contact Technology Specialist at Principal Consultant level to lead technology-driven transformation in customer contact environments. We are specifically looking for someone who can develop Customer contact strategy where technology is an enabler. This role combines deep expertise in Contact Centre technology, AI innovation, and consulting delivery to help clients modernise and optimise their customer engagement strategies. Core Responsibilities: Work with strategic technology partners and alliances to identify opportunities for AI-based services tailored to contact centre use cases. Shape joint propositions and support go-to-market initiatives with partners. Product Ownership Take ownership of the development and roadmap for KAIWA, our AI coaching and analytics solution. Support sales enablement, client demos, and delivery of KAIWA engagements. Support development of business cases and options for clients. Technology Change Leadership Act as a subject matter expert in technology-based change for customer contact, preferably within Financial Services (FS) or Public Sector (PS). Advise clients on business readiness, change management, and operational impact of new technologies. CCaaS Platform Expertise Lead or support rollouts of new CCaaS platforms (e.g., Five9, Genesys, NICE CXone). Deliver overlay consulting services including business readiness assessments, change management plans, and operational transition support. Shape and deliver CRM transformation programmes integrated with contact centre technology. Ensure alignment between CRM and CCaaS platforms for seamless customer experience. Thought Leadership & Advisory Develop frameworks, best practices, and accelerators for AI adoption in contact centres. Contribute to industry thought leadership through blogs, webinars, and client workshops. Qualifications Essential requirements Proven experience delivering t echnology transformation in contact centres, including AI and CCaaS deployments. Strong understanding of customer experience operations, contact centre KPIs, and digital engagement strategies. Expertise in business readiness, change management, and stakeholder engagement for technology rollouts. Familiarity with AI/GenAI applications for customer contact (e.g., knowledge management, agent assist, conversational AI). Confident with Data analysis and shaping benefits cases Experience shaping and delivering CRM programmes integrated with contact centre technology. Experience working with Financial Services or Public Sector clients preferred. Ability to collaborate with alliances and technology vendors to shape joint propositions. Preferably an Operational Practitioner who has transitioned into a consulting role so combines Operational experience with Consulting disciplines Knowledge of compliance and best practices in AI for CX. Experience in developing SaaS products or IP for contact centre environments. Consulting background with strong client-facing skills and commercial acumen, coupled with operational experience. Ability to deliver general consulting engagements. Strong internal and external networking skills. A recognised contributor to Industry thought leadership. Experience with CRM deployments would be advantageous. Be a recognised leader in the Customer contact field experienced with influencing at C-level. Additional information 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, or other by 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
The Walt Disney Company (Germany) GmbH
Bristol, Gloucestershire
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. Reasons to work here Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+, Hulu, ESPN, ABC, ABC News, and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Content Platforms & Operations Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Job Summary The Content Platforms team manages a diverse suite of products and services that power Disney's media supply chain, enabling content delivery for iconic brands like Disney+, ESPN+, Hulu, ABC, Marvel, and Star Wars. We are seeking a highly skilled Lead Data Scientist to help us develop and deploy techniques that can understand our media. This is a hands on role for a builder and systems thinker who can take ideas from a concept to a functional, high performance prototype with speed and ingenuity. Lead Data Scientist Responsibilities Collaborate with product and technology teams across the globe. Conceptualize and co develop innovative AI/ML solutions to address complex business challenges in the media space, contributing to a culture of rapid innovation. Identify systematic frameworks for prompt engineering and evaluation, ensuring VLM outputs meet strict ground truth requirements. Develop rigorous evaluation metrics (beyond standard accuracy) to validate model performance for temporal tasks. Bridge experimentation and production through partnership with product and engineering teams, ensuring experimental models are aligned with business needs, optimized for inference and can be seamlessly integrated into our cloud platforms. Establish and refine best practices for the application of generative and non generative AI/ML techniques, ensuring optimal performance for both experimental and production use cases. Develop statistical analyses to validate model performance and business impact. Actively experiment with emerging techniques like PEFT (LoRA/QLoRA), Quantization, and vector embeddings based media retrieval. Responsibilities and Duties of the Role Create and Maintain Data Science Solutions: Design, create, test, and document prototypes aligned with business objectives and engineering standards, on a clear path to production. Collaborate with Cross Functional Teams: Work closely with software engineers and product teams to ensure data science solutions effectively support business goals and content strategies. Required Education, Experience, Skills, Training Bachelor's in Computer Science, Data Science, or a related scientific/engineering field. At least 7 years of relevant industry experience in data science. Proficient in Python, and extensive experience with libraries such as Pandas, NumPy, and scikit learn. Hands on experience with at least one major deep learning framework, such as PyTorch, and experience with LLM prompting and fine tuning. Solid understanding of the full lifecycle of a machine learning project, from data exploration and feature engineering to model deployment and monitoring. Strong communication and presentation skills, with the ability to convey complex analytical findings to both technical and non technical audiences. Experience with cloud platforms, including storage, compute, and ML services such as AWS S3, Bedrock, EC2, and SageMaker or Databricks. Preferred Requirements MS or PhD in Computer Science, Data Science, or a related scientific/engineering field. Previous work experience in media or entertainment technology, particularly in content distribution and the media supply chain. VLM/LLM model distillation. Expertise in advanced statistical techniques and experimental design. Experience with generative AI for media understanding, including video, image, and text analysis. Experience working with development teams across multiple regions, time zones, and cultures. A strong curiosity about how Disney delivers the Magic and a desire to be a part of it. Compensation The hiring range for this position is $155,700 - $208,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job related knowledge, skills, and experience among other factors. A bonus and/or long term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Equal Employment Opportunity The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers, including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Other Information DISNEYTECH
Apr 16, 2026
Full time
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. Reasons to work here Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+, Hulu, ESPN, ABC, ABC News, and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Content Platforms & Operations Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Job Summary The Content Platforms team manages a diverse suite of products and services that power Disney's media supply chain, enabling content delivery for iconic brands like Disney+, ESPN+, Hulu, ABC, Marvel, and Star Wars. We are seeking a highly skilled Lead Data Scientist to help us develop and deploy techniques that can understand our media. This is a hands on role for a builder and systems thinker who can take ideas from a concept to a functional, high performance prototype with speed and ingenuity. Lead Data Scientist Responsibilities Collaborate with product and technology teams across the globe. Conceptualize and co develop innovative AI/ML solutions to address complex business challenges in the media space, contributing to a culture of rapid innovation. Identify systematic frameworks for prompt engineering and evaluation, ensuring VLM outputs meet strict ground truth requirements. Develop rigorous evaluation metrics (beyond standard accuracy) to validate model performance for temporal tasks. Bridge experimentation and production through partnership with product and engineering teams, ensuring experimental models are aligned with business needs, optimized for inference and can be seamlessly integrated into our cloud platforms. Establish and refine best practices for the application of generative and non generative AI/ML techniques, ensuring optimal performance for both experimental and production use cases. Develop statistical analyses to validate model performance and business impact. Actively experiment with emerging techniques like PEFT (LoRA/QLoRA), Quantization, and vector embeddings based media retrieval. Responsibilities and Duties of the Role Create and Maintain Data Science Solutions: Design, create, test, and document prototypes aligned with business objectives and engineering standards, on a clear path to production. Collaborate with Cross Functional Teams: Work closely with software engineers and product teams to ensure data science solutions effectively support business goals and content strategies. Required Education, Experience, Skills, Training Bachelor's in Computer Science, Data Science, or a related scientific/engineering field. At least 7 years of relevant industry experience in data science. Proficient in Python, and extensive experience with libraries such as Pandas, NumPy, and scikit learn. Hands on experience with at least one major deep learning framework, such as PyTorch, and experience with LLM prompting and fine tuning. Solid understanding of the full lifecycle of a machine learning project, from data exploration and feature engineering to model deployment and monitoring. Strong communication and presentation skills, with the ability to convey complex analytical findings to both technical and non technical audiences. Experience with cloud platforms, including storage, compute, and ML services such as AWS S3, Bedrock, EC2, and SageMaker or Databricks. Preferred Requirements MS or PhD in Computer Science, Data Science, or a related scientific/engineering field. Previous work experience in media or entertainment technology, particularly in content distribution and the media supply chain. VLM/LLM model distillation. Expertise in advanced statistical techniques and experimental design. Experience with generative AI for media understanding, including video, image, and text analysis. Experience working with development teams across multiple regions, time zones, and cultures. A strong curiosity about how Disney delivers the Magic and a desire to be a part of it. Compensation The hiring range for this position is $155,700 - $208,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job related knowledge, skills, and experience among other factors. A bonus and/or long term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Equal Employment Opportunity The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers, including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Other Information DISNEYTECH
Data Scientist (Energy) drives the development and delivery of cutting edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co develop impactful solutions. The engineer contributes technical expertise to data driven initiatives, shaping models, algorithms, and analytical approaches that support decision making and innovation outcomes. They play a hands on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience Experience within the energy sector, ideally focused on electricity networks or smart grids Experience applying AI/ML technologies in engineering or operational settings Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co develop solutions that enhance network performance and resilience. Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real world applications. Contribute technical expertise to data driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment.
Apr 16, 2026
Full time
Data Scientist (Energy) drives the development and delivery of cutting edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co develop impactful solutions. The engineer contributes technical expertise to data driven initiatives, shaping models, algorithms, and analytical approaches that support decision making and innovation outcomes. They play a hands on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience Experience within the energy sector, ideally focused on electricity networks or smart grids Experience applying AI/ML technologies in engineering or operational settings Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co develop solutions that enhance network performance and resilience. Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real world applications. Contribute technical expertise to data driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment.
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.
A leading consultancy in energy solutions seeks a Data Scientist (Energy) to develop and deliver innovative solutions that improve electricity network performance. You'll collaborate with Distribution Network Operators, universities, and internal teams, leveraging AI/ML technologies. Ideal candidates should possess strong programming skills in Python and a deep understanding of energy systems. This role spans from early ideation through testing and deployment, requiring effective communication with various stakeholders.
Apr 16, 2026
Full time
A leading consultancy in energy solutions seeks a Data Scientist (Energy) to develop and deliver innovative solutions that improve electricity network performance. You'll collaborate with Distribution Network Operators, universities, and internal teams, leveraging AI/ML technologies. Ideal candidates should possess strong programming skills in Python and a deep understanding of energy systems. This role spans from early ideation through testing and deployment, requiring effective communication with various stakeholders.
.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.
Chair in Drug Discovery Department Faculty of Science Salary Starting from £75,182, rising to £138,905 Contract Type Full Time, Open Ended Closing Date Tuesday 26 May 2026 About the role The Departments of Life Sciences and Chemistry are seeking an exceptional research leader to join us as Chair in Drug Discovery, a strategic joint appointment across the two departments that will help shape the future of therapeutic innovation at Bath and play a central role in the new Centre for Drug Discovery (CDD). CDD is a major cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. The Centre will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles, exploring new 3D chemical space to AI-guided synthesis, flow automation and direct-to-biology screening. By integrating Bath's strengths in synthetic chemistry, chemical and structural biology and advanced delivery science, the CDD will offer a distinctive environment for developing next-generation molecular tools and therapeutic leads. About you: Demonstrate inclusive leadership and a commitment to fostering a diverse research environment Have a strong track record of internationally recognised research in drug discovery Are passionate about collaboration across disciplines and sectors Can mentor and support researchers at all career stages, including Bath Prize Fellows Engage with industry and innovation networks to translate discoveries into real-world impact Can teach aspects of drug discovery in both lectures and laboratory classes and contribute to our PGT course on Drug Discovery (joint between the departments of Chemistry and Life Sciences), maintaining the University's high standards in teaching and learning, and its inclusive and supportive learning environment While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. The new appointment will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Amanda Mackenzie, Head of Life Sciences or Professor Matthew Jones, Head of Chemistry. Please ensure applications are submitted via the University's online system. Alongside the online form, upload a full CV. This is a full-time role (36.5 hours per week). Interviews for this position will take place on 22 and 23 June 2026 (a 2-day process). We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
Apr 16, 2026
Full time
Chair in Drug Discovery Department Faculty of Science Salary Starting from £75,182, rising to £138,905 Contract Type Full Time, Open Ended Closing Date Tuesday 26 May 2026 About the role The Departments of Life Sciences and Chemistry are seeking an exceptional research leader to join us as Chair in Drug Discovery, a strategic joint appointment across the two departments that will help shape the future of therapeutic innovation at Bath and play a central role in the new Centre for Drug Discovery (CDD). CDD is a major cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. The Centre will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles, exploring new 3D chemical space to AI-guided synthesis, flow automation and direct-to-biology screening. By integrating Bath's strengths in synthetic chemistry, chemical and structural biology and advanced delivery science, the CDD will offer a distinctive environment for developing next-generation molecular tools and therapeutic leads. About you: Demonstrate inclusive leadership and a commitment to fostering a diverse research environment Have a strong track record of internationally recognised research in drug discovery Are passionate about collaboration across disciplines and sectors Can mentor and support researchers at all career stages, including Bath Prize Fellows Engage with industry and innovation networks to translate discoveries into real-world impact Can teach aspects of drug discovery in both lectures and laboratory classes and contribute to our PGT course on Drug Discovery (joint between the departments of Chemistry and Life Sciences), maintaining the University's high standards in teaching and learning, and its inclusive and supportive learning environment While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. The new appointment will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Amanda Mackenzie, Head of Life Sciences or Professor Matthew Jones, Head of Chemistry. Please ensure applications are submitted via the University's online system. Alongside the online form, upload a full CV. This is a full-time role (36.5 hours per week). Interviews for this position will take place on 22 and 23 June 2026 (a 2-day process). We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
Prize Fellow in Drug Discovery Department Life Sciences Salary Starting from £47,389, rising to £56,535 Contract Type Full Time, Fixed Term Closing Date Tuesday 26 May 2026 Prize Fellowship in Drug Discovery The Departments of Life Sciences and Chemistry invite applications for a Prize Fellowship in Drug Discovery, an exceptional opportunity for an emerging research leader to develop an independent, internationally recognised programme at the interface of chemistry and biology. The position will be run as a joint appointment across the two departments. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. CDD will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles that explore new 3D chemical space, to AI-guided synthesis, flow automation and direct-to-biology screening. By coupling Bath's strengths in synthetic chemistry, chemical and structural biology, and advanced delivery science, the Centre will provide a distinctive environment for developing next-generation molecular tools and therapeutic leads. We seek a creative and collaborative scientist tackling fundamental challenges in contemporary drug discovery, ideally with a strong grounding in chemistry and an interest in applying molecular or computational technologies to biological problems. While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About the Prize Fellowship The Bath Prize Fellowship offers three years of protected research time and the opportunity for a permanent academic appointment, subject to performance. Fellows will have access to state-of-the-art laboratories for automation, high-throughput synthesis, compound screening and advanced computation, and will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Scott Lovell, Life Sciences or Dr Alex Cresswell, Chemistry, co-leads of the Bath Centre for Drug Discovery. Please ensure applications are submitted via the University's online system. Alongside the online form, please upload a full CV. We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
Apr 16, 2026
Full time
Prize Fellow in Drug Discovery Department Life Sciences Salary Starting from £47,389, rising to £56,535 Contract Type Full Time, Fixed Term Closing Date Tuesday 26 May 2026 Prize Fellowship in Drug Discovery The Departments of Life Sciences and Chemistry invite applications for a Prize Fellowship in Drug Discovery, an exceptional opportunity for an emerging research leader to develop an independent, internationally recognised programme at the interface of chemistry and biology. The position will be run as a joint appointment across the two departments. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. CDD will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles that explore new 3D chemical space, to AI-guided synthesis, flow automation and direct-to-biology screening. By coupling Bath's strengths in synthetic chemistry, chemical and structural biology, and advanced delivery science, the Centre will provide a distinctive environment for developing next-generation molecular tools and therapeutic leads. We seek a creative and collaborative scientist tackling fundamental challenges in contemporary drug discovery, ideally with a strong grounding in chemistry and an interest in applying molecular or computational technologies to biological problems. While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About the Prize Fellowship The Bath Prize Fellowship offers three years of protected research time and the opportunity for a permanent academic appointment, subject to performance. Fellows will have access to state-of-the-art laboratories for automation, high-throughput synthesis, compound screening and advanced computation, and will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Scott Lovell, Life Sciences or Dr Alex Cresswell, Chemistry, co-leads of the Bath Centre for Drug Discovery. Please ensure applications are submitted via the University's online system. Alongside the online form, please upload a full CV. We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
