Data research jobs in Reino Unido

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high computer cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly to the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time, • Constantly operating a computer, printer, telephone and other similar office machinery #LI-DM1 #LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: ___.

As a face-to-face Market Research Interviewer at Ipsos, you will be at the forefront of gathering valuable insights from the public on a variety of important and fascinating topics. You will travel to respondent’s homes to conduct face-to-face interviews and ensure respondents feel comfortable sharing their opinions. You will explain the survey process, answer any questions, and encourage participation. Don’t worry, you will receive plenty of training! During interviews, you will accurately record responses using provided devices and meet daily targets while maintaining high-quality standards. Key Projects You'll Work On: • Public Affairs Sector: Engage in studies commissioned by the Department of Education, Home Office, and other government bodies., • British Election Study: Contribute to one of the longest-running election studies worldwide, understanding political attitudes and behaviour., • Millennium Cohort Study: Collect data on the development and experiences of young people born in England, Scotland, Wales, and Northern Ireland., • Children of the 2020s: Longitudinal survey capturing data about child development, family context, and educational experiences., • Anti-Social Behaviour Evaluation: Measure the impact of government schemes aimed at preventing anti-social behaviour., • Barb Establishment Survey: Help shape the UK TV and advertising landscape with detailed audience data and insights., • Excellent communication and interpersonal skills., • Must have access to a car and be comfortable with traveling. Business car insurance is required., • A friendly and approachable demeanour., • Ability to build rapport with people from all walks of life., • Comprehensive 8-week training program – no prior experience necessary!, • Quarterly performance based bonuses of up to £500, • Mileage reimbursement., • The opportunity to make a real impact by contributing to important research projects., • Competitive discounts on shopping to holidays with our staff site, and the ability to send and receive e-card recognition.

As a face-to-face Market Research Interviewer at Ipsos, you will be at the forefront of gathering valuable insights from the public on a variety of important and fascinating topics. You will travel to respondent’s homes to conduct face-to-face interviews and ensure respondents feel comfortable sharing their opinions. You will explain the survey process, answer any questions, and encourage participation. Don’t worry, you will receive plenty of training! During interviews, you will accurately record responses using provided devices and meet daily targets while maintaining high-quality standards. Key Projects You'll Work On: • Public Affairs Sector: Engage in studies commissioned by the Department of Education, Home Office, and other government bodies., • British Election Study: Contribute to one of the longest-running election studies worldwide, understanding political attitudes and behaviour., • Millennium Cohort Study: Collect data on the development and experiences of young people born in England, Scotland, Wales, and Northern Ireland., • Children of the 2020s: Longitudinal survey capturing data about child development, family context, and educational experiences., • Anti-Social Behaviour Evaluation: Measure the impact of government schemes aimed at preventing anti-social behaviour., • Barb Establishment Survey: Help shape the UK TV and advertising landscape with detailed audience data and insights., • Excellent communication and interpersonal skills., • Must have access to a car and be comfortable with traveling. Business car insurance is required., • A friendly and approachable demeanour., • Ability to build rapport with people from all walks of life., • Comprehensive 8-week training program – no prior experience necessary!, • Quarterly performance based bonuses of up to £500, • Mileage reimbursement., • The opportunity to make a real impact by contributing to important research projects., • Competitive discounts on shopping to holidays with our staff site, and the ability to send and receive e-card recognition.

As a face-to-face Market Research Interviewer at Ipsos, you will be at the forefront of gathering valuable insights from the public on a variety of important and fascinating topics. You will travel to respondent’s homes to conduct face-to-face interviews and ensure respondents feel comfortable sharing their opinions. You will explain the survey process, answer any questions, and encourage participation. Don’t worry, you will receive plenty of training! During interviews, you will accurately record responses using provided devices and meet daily targets while maintaining high-quality standards. Key Projects You'll Work On: • Public Affairs Sector: Engage in studies commissioned by the Department of Education, Home Office, and other government bodies., • British Election Study: Contribute to one of the longest-running election studies worldwide, understanding political attitudes and behaviour., • Millennium Cohort Study: Collect data on the development and experiences of young people born in England, Scotland, Wales, and Northern Ireland., • Children of the 2020s: Longitudinal survey capturing data about child development, family context, and educational experiences., • Anti-Social Behaviour Evaluation: Measure the impact of government schemes aimed at preventing anti-social behaviour., • Barb Establishment Survey: Help shape the UK TV and advertising landscape with detailed audience data and insights., • Excellent communication and interpersonal skills., • Must have access to a car and be comfortable with traveling. Business car insurance is required., • A friendly and approachable demeanour., • Ability to build rapport with people from all walks of life., • Comprehensive 8-week training program – no prior experience necessary!, • Quarterly performance based bonuses of up to £500, • Mileage reimbursement., • The opportunity to make a real impact by contributing to important research projects., • Competitive discounts on shopping to holidays with our staff site, and the ability to send and receive e-card recognition.

Do you want to use your business acumen, performance analysis and improvement skills for good? Turning Point is a large Social Enterprise supporting around 100,000 marginalised and disadvantaged people across the country each year. We need a passionate and experienced person to take on the role of Insight Performance & Data Manager for our City & Hackney Substance Use Treatment Service, as part of our Insight team. The role is based at our Hackney service but allows for hybrid working. The expectation being a minimum of 2 days per week in the office. The interviews will be held remotely on Wednesday 11th February 2026. You will need to respond to regular and ad-hoc reporting requirements which cover varied audiences from team level to senior management team and up to commissioner level. You will help find ways to showcase performance and celebrate the great work our services and staff deliver, looking beyond commissioner and contract KPIs and into best practice. You will be able to demonstrate you can get the best out of teams, using your aptitude for leadership, influencing others to be the best they can be. We are looking for a self-starter with the ability to quickly research and understand the social value of the work we do, alongside that of our local, regional and sector competitors. You will make recommendations and suggestions on where our services and organization should go. You will also help provide information to improve the operational effectiveness and, consequently improve the quality of lives for the people we support. You’ll be experienced in the preparation and command of large volume data, able to navigate databases and Excel with ease, in order to compile engaging data which can drive performance, tell the story, and really add value for the service, its staff, and its service users. You will need to know how to convert a complex problem in to a manageable (bite-sized) solution. This includes collaboration with others in and out of the organisation to agree the logical/best approach. Experience working with client management systems would be advantageous, particularly in supporting service process and improving data quality. Experience in line management or supervision of direct reports is desirable, particularly in supporting team development, performance management, and day-to-day coordination. You do not need to have experience working in health and social care or with substance misuse and public health data sets, although knowledge in these areas would be advantageous. As a leading health and social care provider with more than 300 locations across England, we take real pride in the services we offer. We run all of our services on a not-for-profit basis; instead, we invest every penny back into our services and people. We never stop believing in change for the better, and we work constantly to improve the lives of the people we support. What Benefits Will I Receive? We know reward looks different to each person and so whether its ways to make your money go further, a culture supporting recognition and celebration, or opportunities to boost your career – we want to support you in every way we can with our total reward package. You will get 33 days’ paid holiday a year, increasing with each year of service up to 35 days. Plus the option to buy additional holidays and spread the cost. Join our team and discover the comprehensive benefits we offer by following the link below to explore all the exciting perks available to our employees. We reserve the right to close this advert early if we are able to appoint to the vacancy before the advertised closing date. Turning Point

As a Customer Journey Strategy Manager you will be responsible for leading the future strategy and development of exceptional customer experiences across our most critical end-to-end customer journeys, both individually and as part of a cohesive and interconnected experience ecosystem. You’ll work closely with senior leaders, journey owners, design leads and product teams to lead the development of exceptional and differentiated customer journeys that deliver on Barclays drive to be best-in-class for customer experience. By leveraging data and insights from various sources, you’ll drive customer-centric solutions that address pain points and meet evolving customer needs. You will deliver the reimagining of customer journeys in line with the strategic vision, ensuring seamless, intuitive, and digitally enabled experiences. Additionally, you’ll drive collaboration across cross-functional teams, working with design, product, and technology stakeholders to prioritise and deliver strategic initiatives. You will also stay ahead of emerging customer experience trends and technologies, integrating these into journey strategies, while fostering a culture of experimentation, testing, and continuous improvement. To be successful as a Customer Journey Strategy Manager, you should have experience with * Strategic mindset with the ability to translate complex problems into innovative solutions. Comfortable working with systems design, understanding how this can be utilised for bigger picture journey transformation. * Considerable influencing and stakeholder management skills with experience of delivery in cross-functional, matrixed environments with multiple stakeholders. * Expertise in customer journey mapping and understanding of design thinking methodologies, partnering closely with Journey Design Leads to deliver quality journey artefacts. * Expertise in developing journey design blueprints and CX journey prototyping. * Developed commercial acumen, with an understanding of how excellent customer experience can drive effective business commercial outcomes. * Experience in customer data, customer/competitor & market insights and horizon scanning to identify opportunities inform strategic customer journey development. * Experience using CX Tools e.g. Figma, Adobe Analytics, Qualtrics. * Experience briefing in customer research, with deep understanding of how to synthesise insights into journey thematic and frame the cumulative impact of small but frequent journey issues into overall journey performance. * Developed facilitation and storytelling skills. * Understanding of agile working practices and the ability to work in cross-functional environments. * Considerable analytical and creative problem-solving skills with high levels of customer empathy. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based in Northampton, London (1CP) or Manchester (4PP). Purpose of the role To design the end to end journey of a service to enable a user to complete their goals. The work may involve the creation of, or change to, transactions, products and content across both digital and offline channels provided by different parts of Barclays. Accountabilities • Creation of design assets to drive business outcomes, including service blueprinting, customer journey mapping and service prototyping., • Creation of intuitive and user-friendly interfaces for digital banking platforms and applications for a seamless and engaging user experience., • Design and maintenance of visually appealing and consistent user interfaces that align with the bank's brand identity and design guidelines across digital products., • Creation of wireframes and interactive prototypes for visualisation and testing of product concepts and features before development., • Compliance to accessibility standards and guidelines to provide an inclusive experience for all users., • Monitoring of industry trends, design best practices, and emerging technologies to continuously improve the design quality and innovation of banking products., • Gathering and analysis of data from a wide range of sources to create in-depth insights into customer’s needs or pain-points to aid business understanding of the customer experience. Assistant Vice President Expectations • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions., • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others., • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes., • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues., • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda., • Take ownership for managing risk and strengthening controls in relation to the work done., • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy., • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively., • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience., • Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Business Support Admin, Sharepoint & Excel, First point of contact, Raising PO'S Your new company My client is seeking a proactive and detail oriented Facilities Business Support Administrator to join their estates team. This role involves administrative and data analysis tasks, ensuring the smooth operation of departmental systems and accurate reporting. You will be the first point of contact and manage service contracts, accommodation and tenancy databases, business rates, utilities, and departmental systems. Your new role • Maintain and develop the occupancy database to support accurate utilisation reporting., • Act as System Administrator for departmental IT systems, including SharePoint, Access Control, Lease and Occupancy databases, and contractor & visitor systems., • Ensure all data is accurate, complete, and digitally stored for efficient access., • Administer Business Rates, liaising with local authorities to ensure correct invoicing and apply for reliefs., • Generate purchase orders and liaise with procurement and finance teams to resolve queries., • Coordinate energy data collection and support energy reporting processes., • Maintain the department’s Group Management System., • Collaborate with the wider team to support operational excellence., • Provide timely and accurate data and reports to other departments on costs, income, contracts, and other related metrics. What you'll need to succeed • Experience in an Estates or Facilities Management environment is desirable., • Knowledge of Business Rates administration and local authority liaison is desirable, • Strong IT skills including SharePoint, system databases, and advanced Excel and PowerPoint., • Proven ability in data management, analysis, and attention to detail., • Excellent planning, organisation, and communication skills., • Ability to produce clear reports and visual data presentations., • Fast and accurate data entry with strong editing and research capabilities. What you'll get in return Flexible working hours Onsite Parking 25 days Hol Plus BH What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. 4739445

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Knowledge/experience with digital healthcare tools design and development, • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high compute cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time, • Constantly operating a computer, printer, telephone and other similar office machinery #LI-DM1 #LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: ___.

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 We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations. 1. People - Helping develop high-performing teams., 2. Process - Applying scalable UCD methods that drive measurable outcomes., 3. Position - Influencing strategy and embedding design across an organisation., 4. Product - Producing provable world-class app-first digital experiences (Outcomes & Impact) The Rewards: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (Osterley) Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers. Key Responsibilities • Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights., • Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions., • Prototype and validate new technical ideas, bringing cutting-edge research into production., • Work with clients to translate insights into actionable strategies that drive growth., • Implement production-level coding practices, including unit testing and documentation., • Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For • 3+ years’ experience working with Python for data preparation, aggregation, and transformation., • Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media., • Proven experience applying ML/statistical methodologies to large datasets (>1TB)., • Experience building NLP and Computer Vision products with engaged user bases., • Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications., • Skilled in explaining technical findings to business audiences in clear, concise English., • Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship.

About Phenome Longevity Phenome Longevity is a UK-based health innovation company redefining preventive healthcare through genomics, microbiome science and personalised medicine. Our mission is to make advanced biological insights accessible and actionable for individuals seeking to understand and improve their long-term health. About the Role We are looking for an experienced Genetic Counsellor or Metagenomics Counsellor with a strong background in clinical genetics, microbiome interpretation and patient communication. The successful candidate will play a key role in helping clients understand their genomic and microbiome test results, supporting them through data interpretation and personalised health planning. Key Responsibilities • Provide one-to-one genetic and metagenomic counselling sessions in person or virtually, • Interpret genomic, metagenomic and microbiome results in collaboration with clinical scientists and the bioinformatics team, • Communicate complex data in a clear and empathetic manner to help clients make informed health decisions, • Support the development of report content and clinical summaries for Phenome Longevity test kits, • Work closely with nutritionists, healthcare practitioners and researchers to ensure integrated and patient-centred care, • Maintain accurate client documentation and adhere to UK data privacy and ethical standards, • Contribute to ongoing research and clinical education projects within the company Requirements • MSc in Genetic Counselling, Genomic Medicine or an equivalent postgraduate qualification, • Registration with GCRB or HCPC preferred, • Experience within NHS Genomic Services, clinical genetics or metagenomics is highly desirable, • Familiarity with rare disease genetics, including diagnostic workflows and patient communication in complex cases, • Strong understanding of genomic sequencing, variant interpretation and microbiome profiling, • Excellent communication and interpersonal skills with a focus on compassionate, evidence-based guidance Preferred Skills • Experience in rare disease analysis, variant curation and clinical report generation, • Background in multi-omics, functional medicine or systems biology, • Familiarity with digital health and teleconsultation platforms, • Interest in longevity science, precision medicine and preventive health technologies Why Join Us Phenome Longevity offers a unique opportunity to be part of an interdisciplinary team that merges genomics, data science and functional health. You will contribute to the creation of a new standard in personalised care where biology and technology come together to empower individuals on their journey to optimal wellbeing.

MERJE are working with a reputable Insurance company who are looking to hire within their Health Insurance Pricing function - with the hire of a Qualified Actuary. As an Actuarial Manager, you will be joining a high performing function that are at the heart of creativity and innovation around the Health insurance sector. You will be contributing and leading tasks around Pricing Strategy and Development based on market conditions and thorough data research. Within this role, you'll be applying yourself with a number of different analytical tools and softwares. In addition to typical Actuarial softwares, we're looking for those with knowledge and skills in Data Science techniques such as Power BI, Python, SQL. This opportunity provides an excellent long term opportunity if you're looking to enhance your Actuarial career, incorporating the inclusion of more data focused techniques. We're looking for Qualified Actuaries based in the South of England (2 days a week in the office). You'll come from a Health or General Insurance background - although we will be looking at those in Life Insurance who have worked specifically in Critical Illness / Medical areas.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Job Purpose The Medical Affairs Capability Manager is responsible for designing, implementing, and delivering capability‑building programs for Medical Affairs teams across global, regional, and local levels. This role works closely with Capability Directors and key stakeholders to understand capability gaps and develop relevant, meaningful learning initiatives. These programs are embedded into everyday ways of working to enhance employee skills, improve performance, and ultimately support better outcomes for patients. Key Responsibilities • Lead the implementation of Medical Affairs capability initiatives, ensuring quality, consistency, and timely delivery., • Partner with Capability Directors to identify capability needs and support program design, delivery, measurement, and sustainability, with a strong focus on:External engagement excellence., • Evidence generation., • Manage stakeholders effectively to ensure smooth deployment of capability programs across regions., • Contribute the Medical Affairs perspective into broader company‑wide capability programs to ensure relevance and impact., • Stay informed on future trends, innovation, and digital advances and incorporate them into learning programs to enhance engagement and effectiveness., • Manage external vendors and partners to ensure:High‑quality deliverables., • Consistent global standards., • Efficient use of budgets (e.g., MSL Leader Coaching, external engagement programs)., • Lead the development and ongoing maintenance of internal capability resource platforms, ensuring content remains current and relevant., • Track and manage program budgets in partnership with Capability Directors, identifying risks and opportunities., • Drive continuous improvement by evaluating program impact and making enhancements to accelerate upskilling and performance improvement., • Build and maintain a network of subject matter experts (SMEs) to support program design at both global and local levels., • Monitor the evolving healthcare and external environment and assess its impact on Medical Affairs capability needs. Basic Qualifications • Minimum 5 years of experience in the pharmaceutical industry., • At least 3 years of experience in project management or a similar operational role., • Strong understanding of regulatory and compliance standards related to promotion and scientific engagement (e.g., IMC)., • Excellent communication skills (written, verbal, and presentation)., • Ability to present confidently to senior leaders and cross‑functional stakeholders., • Strong strategic thinking and problem‑solving capabilities., • Ability to manage multiple priorities and stakeholders across regions., • Experience working on transformational or change initiatives aligned to organizational strategy., • Proven ability to work across different time zones and cultures. Preferred Qualifications • MBA or equivalent advanced degree, • Strong understanding of Medical Affairs functions and activities, • Experience leading capability‑building or organizational change initiatives, • Ability to build relationships based on trust, collaboration, and mutual respect Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Full-stack Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Full-stack Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Experience in front-end development, with expertise in frameworks such as React., • Experience in Python development (e.g., using FastAPI) for backend services., • Comfortable working with modern, cloud-native technologies and continuous deployment practices., • Strong skills in JavaScript/TypeScript and similar., • Understanding best practices for scalable, maintainable code and automated testing., • Curious, collaborative, and passionate about applying technology to improve health outcomes., • Familiarity with agile methodologies and ability to thrive in collaborative, iterative environments., • Experience in AI/ML or life sciences is a plus, but not required - what matters most is a commitment to continuous learning and a desire to make an impact. What You Might Be Doing As an Full-stack Engineer at GSK, you could get involved with: • Developing front-end applications and interactive data visualizations., • Integrating AI/ML components with backend systems and data pipelines., • Building and maintaining cloud-based infrastructure for large-scale applications., • Collaborating with designers and scientists to create intuitive user experiences., • Driving best practices in software development, testing, and deployment. Why Join Our Talent Pool? • Be the first to hear about new full-stack roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

Accounts Receivable Specialist £35,000 - £38,000 per annum + benefits Permanent | Hybrid (3 days office-based) Location: Borehamwood, Hertfordshire No Sponsorship is available for this role B2B with the NHS is essential We’re working with a respected healthcare services provider who needs a seasoned, hands-on Accounts Receivable Specialist to join a brand new, growing finance team in Borehamwood. This is not a “light admin AR” role. This is for someone who can take ownership, handle volume, and drive debt down properly. Billing can be taught to a degree, but strong credit control cannot, and that is the priority here. You’ll join a close-knit, collaborative team that values accuracy, accountability, and straight-talking communication. The wider business is a large corporate environment (circa £800m turnover), so you need to be comfortable working within a structured framework and dealing with high-value, high-volume payments. The Role This hybrid role (max 2 days remote after induction) gives you full ownership of the end-to-end Sales-to-Cash cycle, from invoicing and reconciliations through to credit control and cash allocation. You’ll work closely with internal teams and external funders to protect cash flow and keep the ledger clean. Expect a complex, manual environment with significant volume (around 2,500 bills per month). If you’re not daunted by numbers and you take pride in getting things right first time, you’ll do well here. Key Responsibilities • Take full ownership of end-to-end Accounts Receivable (Sales-to-Cash)., • Lead on credit control activity across NHS and local authority accounts, keeping aged debt tightly managed., • Act as the main point of contact for payment discussions, chasers, queries and dispute resolution., • Negotiate repayment plans where needed and keep detailed, accurate communication records., • Prepare and deliver accurate invoices aligned with contract requirements., • Upload invoices via customer portals or issue directly by email., • Liaise with internal validation teams to confirm billing data and resolve discrepancies fast., • Allocate cash, reconcile accounts, and support month-end close with debtor reporting., • Support audit requirements and maintain compliance with internal controls and external standards., • Contribute ideas to improve processes in a team that’s still building the “best way” of doing things. What We’re Looking For (Essential) • A seasoned AR specialist with extensive credit control experience (non-negotiable)., • NHS B2B experience is essential (local authority billing experience also highly relevant)., • Experience working in a large corporate / high-turnover business., • Comfortable handling high-value payments and high volumes of transactions., • Not daunted by a complex, manual billing environment (approx. 2,500 bills per month)., • Strong Excel skills (reconciliations, large datasets, reporting)., • Confident, personable communicator able to manage multiple stakeholders., • Detail-driven, organised, and able to meet tight deadlines without standards slipping., • You will have done your research and can speak confidently about why this company and role makes sense for you (beyond “it’s healthcare”). Nice to Have • Broader healthcare AR exposure (in addition to NHS billing)., • Process improvement mindset (this team is building and refining ways of working as, • £35,000 to £38,000 salary (depending on the strength of your credit control skillset)., • 33 days annual leave including bank holidays + your birthday off., • Company pension scheme and life assurance., • Wellbeing resources and 24-hour GP helpline., • Ongoing professional development and progression opportunities., • Hybrid working: minimum 3 days in the office, maximum 2 days from home (after induction)., • they scale). What’s On Offer • £35,000 to £38,000 salary (depending on the strength of your credit control skillset)., • 33 days annual leave including bank holidays + your birthday off., • Company pension scheme and life assurance., • Wellbeing resources and 24-hour GP helpline., • Ongoing professional development and progression opportunities., • Hybrid working: minimum 3 days in the office, maximum 2 days from home (after induction). Who This Suits You’re naturally analytical, assertive in the right way, and you take ownership. You’re comfortable working at pace, dealing with complex accounts, and you actually enjoy the challenge of improving how things are done. Personality matters here: they want someone personable who can build strong internal and external relationships while still holding a firm line on debt. If this sounds like the next step in your finance career, send your CV to Lochlan Dolman at or call 07537162494

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced AI/ML Developer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with AI/ML Developers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Experience conducting user research for software or AI applications., • Solid understanding of generative AI and large language models., • Strong programming skills, including testing and debugging., • Familiarity with agile development practices and modern software tools (e.g., Git/GitHub)., • Experience deploying AI/ML-powered applications., • Knowledge of AI/ML evaluation techniques, including safety and robustness testing., • Familiarity with benchmarking and performance evaluation of ML models., • Degree in a quantitative or engineering discipline (e.g., Computer Science, Engineering, Bioinformatics) or equivalent professional experience. What You Might Be Doing As a AI/ML Developer at GSK, you could get involved with: • Designing and implementing safety metrics for generative AI applications, especially those involving language models., • Conducting user research to identify risks, failure modes, and usability challenges in AI-powered systems., • Integrating AI/ML components with frontend, backend, data pipelines, and compute infrastructure., • Writing high-quality, maintainable code and participating in peer code reviews., • Collaborating with data engineers and cross-functional teams to build end-to-end ML pipelines., • Delivering insights from generative AI datasets using ML and data analysis techniques., • Supporting the deployment and monitoring of AI/ML models in production environments. Why Join Our Talent Pool? • Be the first to hear about new AI/ML Developer roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. How to Join If you’re passionate about AI/ML and ready to explore future career opportunities with GSK, please submit your details using the application form below. We’ll keep your details on file and reach out as soon as roles become available. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Back-end Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Back-end Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional experience., • Strong Python skills, with experience in back-end development and unit testing., • Familiarity with generative AI concepts, particularly Large Language Models., • Experience with cloud platforms (Google Cloud preferred), including core web application infrastructure., • Knowledge of agile practices and ability to thrive in collaborative, iterative environments., • Proficiency with modern development tools and workflows (e.g., git/GitHub, DevOps practices), with a mindset of commit early and deploy often., • Understanding of web development best practices, modern design principles, and continuous integration workflows., • Experience with automated testing tools and building robust test suites. What You Might Be Doing As an Back-end Engineer at GSK, you could get involved with: • Backend development for Python-based web applications., • Integration of AI/ML components with backend systems, data pipelines, and compute infrastructure., • Delivering high-quality implementations following best practices, including automated testing and documentation., • Participating in code reviews and collaborating with technical teams across disciplines., • Supporting evaluations and insights on generative AI datasets. Why Join Our Talent Pool? • Be the first to hear about new back-end roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role Overview The Director of Global Congress Strategy in the Global Scientific Communications organization is responsible for driving annual congress planning within a specific therapeutic area of Respiratory. This strategic role is pivotal in developing TA-level congress plans, sponsorship decisions, and scientific narratives to enable the effective execution of all congress-related deliverables. The role ensures all narratives and plans are aligned within the asset and across the TA, partnering closely with Medical and Commercial teams for delivery Key Responsibilities • Lead the annual congress planning process for the assigned therapeutic area, ensuring alignment with the overall medical and commercial strategy., • Develop and drive TA-level congress plans and decision-making, including sponsorship decisions and the creation of scientific narratives., • Ensure all congress narratives and plans are aligned within the asset and across the TA, partnering closely with Medical and Commercial teams to deliver cohesive and strategic congress outcomes., • Establish and maintain collaborative relationships with external vendors and internal stakeholders to ensure delivery of congress plans on strategy., • Provide strategic insights into the appropriate content needed to articulate the narrative within the context of broader medical and commercial strategies., • Deliver medical leadership and consistent excellence in congressing through society relationship management and partnership with local markets and cross-functional partners., • Evaluate and shape congress key performance indicators (KPIs) and share insights with teams to continually refine approaches, priorities, and investments., • Ensure adherence to all relevant codes and system requirements (e.g., ABPI code of practice, GSK Code), particularly with respect to the communication of promotional versus non-promotional information., • Gather and share best practices across global congresses to ensure consistency, high standards, and excellence are maintained across the organiSation., • Stay updated on advancements in congressing to ensure approaches evolve with the external landscape. Requirements • Degree in science, medicine, pharmacy, or a related field., • 7+ years of related experience in scientific communications and/or congress planning and execution, with extensive knowledge of the pharmaceutical congress industry, codes, and practices., • Experience working with Medical and Commercial teams to deliver aligned and impactful outcomes., • Experience developing and implementing strategic plans and narratives, including innovative technology tools to articulate scientific narratives., • Experience cultivating relationships with external stakeholders including physicians, payers, and patients within the specific TA., • Experience working effectively with external vendors and internal stakeholders through excellent communication and relationship-building skills., • Strong analytical skills and the ability to share insights to shape strategic approaches and investments., • Strong project management skills over multiple projects simultaneously, meeting deadlines., • Experience interpreting, analysing, organising, and presenting complex data to a broad range of audiences. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced QA professional seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our QA Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with QA professionals who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • A degree or equivalent qualification in Chemistry, Life Sciences, Engineering, or a related technical discipline., • Alternatively, relevant industry experience in a regulated environment such as pharmaceuticals, biotechnology, or manufacturing., • Experience working in GMP/GLP-compliant environments, with a strong understanding of regulatory standards., • Familiarity with analytical techniques and equipment used in pharmaceutical testing., • Strong attention to detail and a methodical approach to problem-solving., • Excellent communication and interpersonal skills, with the ability to build trust and collaborate across teams., • Comfortable working in fast-paced, dynamic environments with competing priorities., • Computer literacy, including proficiency in Microsoft Office and site-specific systems., • A team-oriented mindset, with flexibility and a proactive attitude toward continuous improvement., • Demonstrated ability to apply GMP knowledge in decision-making and process improvement. What You Might Be Doing As a QA professional at GSK, you could get involved with: • Reviewing and approving quality control data to support the timely release of pharmaceutical products., • Authoring and managing GMP documentation, including SOPs, protocols, and reports., • Supporting inspections and audits, ensuring readiness and compliance with regulatory standards., • Participating in quality events such as deviations, investigations, and change controls., • Providing coaching and guidance to improve performance and drive continuous improvement., • Conducting document control activities, including printing, reconciliation, and archiving., • Collaborating with cross-functional teams to resolve quality issues and enhance processes., • Leading or supporting analytical testing, including techniques like HPLC, Karl Fischer, and dissolution testing., • Maintaining and calibrating analytical equipment, ensuring accuracy and reliability., • Investigating Out-of-Specification (OOS) results and contributing to root cause analysis., • Reviewing manufacturing and packaging documentation for clinical and commercial batches., • Assessing temperature excursions and managing customer complaints in line with quality procedures. Why Join Our Talent Pool? • Be the first to hear about new QA roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. How to Join If you’re passionate about quality assurance and ready to explore future career opportunities with GSK, please submit your details using the application form below. We’ll keep your details on file and reach out as soon as roles become available. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Instrument Technician seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For Instrument Technicians typically provide maintenance services on measurement and control equipment, ensuring compliance with internal and external standards. They support instrumentation breakdowns, assess safety issues, and contribute to the smooth operation of process environments. We want to connect with Instrument Technicians who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Recognised Engineering Apprenticeship in Instrumentation and Process Control, • SVQ Level 3 and/or HNC in relevant discipline (Instrumentation), • Maintaining Measurement and Control Equipment for Instrumentation and/or Electrical Equipment What You Might Be Doing As an Instrument Technician at GSK, you could get involved with: • Maintaining, calibrating, and testing a wide range of measurement and control equipment to ensure safety and quality compliance., • Diagnosing and repairing instrumentation equipment and system faults, escalating where necessary to enhance performance., • Inspecting instruments and control systems to verify correct and safe operation., • Supporting installation, commissioning, and validation of new project equipment., • Accurately recording and reporting maintenance activities for audit and analysis purposes., • Providing coaching and mentoring to apprentices and new technicians., • Ensuring all activities comply with safety procedures and permit systems., • Conducting thorough handovers to communicate job status effectively. Why Join Our Talent Pool? • Be the first to hear about new Instrument Technician roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK: GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

Job title: Clinical Safety Scientist Location: GSK HQ Contract: 6 months Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role Overview Provides in‑depth scientific expertise in the safety evaluation and risk management of assigned GSK assets across clinical development and/or post‑marketing settings. The role is responsible for ensuring scientifically robust review, interpretation, and communication of safety data to support global patient safety and informed benefit–risk decision‑making. Key Responsibilities • Provide scientific leadership in the safety evaluation and risk management of assigned clinical and/or marketed products., • Ensure high‑quality review, analysis, and interpretation of safety data from clinical trials, post‑marketing surveillance, literature, and external data sources., • Identify, assess, and escalate safety issues through established safety review and governance processes, ensuring timely communication to senior management as required., • Make scientifically sound recommendations for the characterization, management, and communication of safety risks across the product lifecycle., • Support global pharmacovigilance and ongoing benefit–risk assessment activities to ensure patient safety worldwide., • Contribute to safety sections of regulatory documents, risk management plans, and responses to health authority inquiries., • Collaborate with cross‑functional partners including Clinical Development, Medical, Regulatory, and Epidemiology to ensure consistent and aligned safety strategy execution. Qualifications & Experience • Advanced degree in Medicine, Pharmacy, Life Sciences, or a related scientific discipline., • Experience in pharmacovigilance, drug safety, or benefit–risk management within a pharmaceutical or biotechnology environment., • Demonstrated understanding of global safety regulations, safety governance, and lifecycle product safety management., • Experience supporting assets in clinical development and/or the post‑marketing environment. Skills & Competencies • Strong scientific and analytical capability in safety data evaluation, • Expertise in pharmacovigilance and benefit–risk assessment principles, • Clear and effective written and verbal scientific communication, • Sound judgment and decision‑making in complex safety situations, • Ability to influence and collaborate effectively within global, matrixed teams Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

Job title: Change & Communications Lead Location: GSK HQ Contract Length: 10 months Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role Overview The Change Management & Communications Lead will be responsible for designing, building, and executing strategic communication and change implementation plans across a number of high‑priority business change programmes within GSK. This is a highly visible role working closely with senior leaders and stakeholders across GSK R&D and Medical organizations, connecting strategic initiatives to deliver enhanced value from evidence and external data. The role will play a critical part in operationalising and embedding key enterprise programmes, including External Data, Epi 2.0, and the Integrated Evidence Strategy (IES) framework, ensuring sustainable adoption and business-as-usual (BAU) transition across global teams. Key Responsibilities Strategic Change & Communications: • Develop and execute end-to-end change management and strategic communication plans for complex, enterprise-wide transformation initiatives., • Act as a thought partner to senior leaders, providing strategic counsel on change readiness, stakeholder engagement, and adoption strategies., • Lead the change and communications portfolio for multiple concurrent programmes, ensuring alignment to enterprise priorities and business outcomes. Operational Integration & Capability Building: • Support the operationalisation and embedding of the Integrated Evidence Strategy (IES) framework across R&D and Medical., • Partner with enterprise and R&D stakeholders to design and develop capabilities, processes, governance, and tools that enable effective adoption and long-term sustainability., • Drive consistent ways of working across matrixed teams, RUs, and Therapeutic Areas (TAs). Business Insight & Analysis: • Provide insight-driven analysis to assess change impact, risks, and adoption readiness., • Use data and stakeholder feedback to recommend targeted actions that enhance programme delivery and change success., • Translate complex concepts related to evidence, external data, and strategy into clear, actionable messaging for diverse audiences. Measurement & Benefits Realisation: • Design, implement, and track metrics and KPIs to measure progress against agreed business change and adoption criteria., • Monitor effectiveness of communications, engagement, and change activities, continuously refining approaches based on results. Requirements • Proven experience in change management, strategic communications, programme/project management, or operations, ideally within a pharmaceutical R&D or Medical environment., • Demonstrated ability to operate at an enterprise level, influencing senior leaders and driving adoption across global, matrixed organisations., • Strong track record of supporting large-scale transformations from design through implementation and BAU transition., • Experience designing and delivering change and communications strategies aligned to business strategy and outcomes. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

Python Developer (AI) Job Title: AI Developer Salary Range: £70,000–£85,000 Location / Working model: London You’ll join an established financial services group at a pivotal moment as they build a next-generation trading and investment platform from scratch. This is a hands-on engineering role suited to someone who enjoys scaling Python services, shaping AI-native workflows, and taking ownership of greenfield delivery. You’ll work closely with senior technologists to design, implement, and refine systems that underpin fast, reliable and compliant trading experiences — ideal for someone who has built modern data, ML or AI-driven products and wants to deepen their exposure to finance. The AI Developer will design and deliver backend components, AI agent infrastructure, and internal tools that make the platform increasingly intelligent, automated, and scalable. Role Highlights – Build and maintain Python-based services enabling AI agent interaction and orchestration – Design APIs, contracts and context interfaces aligned to emerging AI engineering standards – Develop internal tooling to support AI-native workflows, evaluation pipelines, and automation – Apply the latest ML/LLM research to practical product needs within a regulated environment – Contribute to design reviews, code quality, observability, and incident response You Will Need – Strong Python engineering background with experience building scalable back-end services – Solid ML foundations with exposure to LLM integration, RAG, or prompt orchestration – Understanding of model context patterns and AI/ML tool interfaces – Experience with cloud-native delivery (AWS) and containerised systems – Ability to own problems end-to-end and deliver maintainable, production-ready code Why You’ll Love It – Fully greenfield platform with no legacy constraints – Meaningful technical ownership from day one – Financial domain exposure with support to build specialist knowledge – Performance-based bonus and structured progression opportunities – Inclusive culture built around transparency, collaboration, and innovation

Data Scientist – Hedge Fund (New launch long/short equity). A newly launched long/short hedge fund specialising in the global Industrials sector is seeking a Data Scientist to help shape its data-driven investment strategy. The firm combines fundamental research with advanced data science, buildin

We're building the infrastructure that makes autonomous AI safe for enterprise deployment. Not governance theatre. Not compliance checkboxes. Actual technical systems that can monitor, quantify, and govern AI agents operating with autonomy in production environments. If you've been following the trajectory from static models to agentic systems—and the corresponding explosion in risk surface area—you know why this matters now. About governr governr is the AI risk platform for regulated enterprises. We provide complete AI visibility, real-time risk eval and quantification, and audit-ready compliance docs for enterprises deploying agentic AI. We've built the industry's most comprehensive AI risk assessment framework: We're currently in active discussions with tier-1 financial institutions and have secured design partners with leading firms navigating the shift from analytical AI to agentic systems. The market timing is critical: enterprises are deploying agents at scale, regulators are demanding governance frameworks, and existing Third-Party Risk Management (TPRM) platforms have near-zero AI-risk depth. We have an estimated 18-24 month competitive window before large incumbents build comparable capabilities to stay relevant. The Role As an Agentic Developer at governr, you'll build the core systems that monitor, analyse, and govern autonomous AI agents in production. This isn't traditional software engineering with well-worn patterns. You're designing architectures for problems that didn't exist 18 months ago. You'll be responsible for: • Agent Monitoring Infrastructure: Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters, • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems, • Protocol Integration: Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications, • Anomaly Detection: Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do, • Evidence Generation Systems: Build architectures that automatically capture audit trails, decision provenance, and compliance evidence without impacting agent performance Core Requirements (Non-negotiable) Technical Depth: • 3 - 12+ years building production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience: You've deployed models, debugged their failures, and built monitoring around them • System design mastery: You can architect for reliability, scalability, and auditability simultaneously Domain Knowledge: • Understanding of agent architectures: autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts: alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability: instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in ambiguity and define requirements through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups, • Production experience with agents: LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background: Financial services, healthcare, or other domains with compliance requirements, • Security/threat modelling expertise: Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience: Trading systems, fraud detection, or other low-latency critical infrastructure, • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA, OCC, FINRA guidance), • Experience with compliance/audit systems or GRC platforms, • Background in formal verification or theorem proving, • DevSecOps or infrastructure-as-code expertise, • Track record of technical leadership or architecture ownership Who Thrives Here You read AI safety papers for fun. You've built production systems where failure has real consequences. You're excited by the idea of being the first person to solve a category of problems that didn't exist last year. You care about getting it right, not just getting it done. When someone asks "can we monitor that?" your first instinct is to figure out how, not to explain why it's hard. You're comfortable with the early-stage start-up reality: fewer guardrails, more ownership, rapid iteration, and direct impact on company trajectory. You want to define the product, not just implement specifications. You're intellectually curious about the intersection of AI capabilities and regulatory constraints. You find it genuinely interesting that the EU AI Act requires "human oversight" but doesn't define what that means for autonomous agents. You're mission-aligned: You believe AI agents will transform how organizations operate, but only if we solve the governance problem. You want to be the person who solves it. Why Now / Why governr Market Timing: Autonomous AI is moving from research to production. McKinsey estimates $2.6T-$4.4T annual value from agentic AI. 80% of organizations report risky agent behaviours. Regulators are demanding guardrail frameworks. The infrastructure layer doesn't exist yet. We're building it. Technical Challenge: You'll solve problems that have no Stack Overflow answers. Agent-to-agent security. Cascade failure prevention across multi-agent systems. Emergent capability detection. Financial quantification of non-deterministic systems. This is legitimately hard, novel work. Category Leadership: We have 18-24 months before large incumbents build comparable depth. First-mover advantage in category creation is real. You'll help define what "AI governance" means. Team Quality: Co-founders with deep financial services + AI expertise. Advisors including Dr. Ayman Hindy, Marcel Cassard, and leading figures in AI, high frequency risk management and financial regulation. Early team of sharp, mission-driven builders. Learning Curve: You'll gain expertise in cutting-edge AI architectures, enterprise software, regulatory frameworks, and category creation simultaneously. This is one of those roles you look back on as career-defining. Impact Leverage: Every system you build enables safe AI adoption for enterprises managing billions in assets. Your code directly influences whether organizations can deploy autonomous agents responsibly. What We Offer Compensation: very competitive salary + equity in a fast-growing company with clear path to Series A Team: Reporting to Co-Founder Chief Product Officer, working directly with founders on product direction Work Environment: London, New York - focus on outcomes over presence Growth: Ownership of major product areas from day one. Technical leadership opportunities as team scales. Direct exposure to customers, investors, and strategic decisions. Resources: Modern tech stack, freedom to choose tools, Mission: Build the infrastructure that makes autonomous AI safe for society. Not many teams can say their technical work has direct regulatory impact. How to Apply If you're excited about building unprecedented monitoring systems for autonomous agents, working at the intersection of AI safety and enterprise software, and defining an emerging category—let's talk. Send your resume, GitHub/portfolio, and a brief note on what excites you about this problem space to and . Include: • Links to relevant work (code, papers, projects, or systems you've built) • What you're currently reading/learning in the AI agent space • One technical challenge you'd be excited to solve at governr We review applications on a rolling basis and move quickly for strong candidates. First round is a technical conversation with the Co-Founder, not whiteboard hazing. We're evaluating you as much as you're evaluating us. Come with questions about our technical approach, roadmap, or market positioning. The best conversations are mutual discovery. governr is an equal opportunity employer. We believe diverse teams build better products and welcome applications from candidates of all backgrounds. Ready to build the governance layer for autonomous AI? We're ready for you.

You will be responsible for developing automated ETL pipelines, integrating new and alternative datasets, implementing data quality checks, and contributing to the firm’s core data framework while working closely with research and trading teams. Python, Databases/Datalakes, Git. The firm offers a

A Tier 1 technology-led multi-strategy trading firm is appointing a Quantitative Product Strategist into a highly visible, centrally positioned front-office role. This is a discreet search, driven by the continued expansion of the firm’s quantitative analytics platforms across asset classes and trading styles. The role sits within a central quantitative analytics group that partners closely with trading, quantitative modelling, and engineering teams across the firm. The mandate is not to own a trading book or build models in isolation, but to ensure the right quantitative ideas are translated into trusted, usable production systems. This is a genuinely hybrid role, designed for someone who is comfortable operating at the intersection of markets, models, and systems, and who enjoys shaping problems under ambiguity rather than working from fully specified requirements. You will work closely with traders, portfolio managers, and quantitative teams to frame analytical needs, while partnering with engineering groups responsible for live trading, risk, and P&L platforms to ensure correct implementation and prioritisation. This is emphatically not a desk quant, quant research, or pure software engineering role. The value-add is judgement, clarity, and product ownership — not depth in a single vertical or volume of code written. The scope includes ownership and evolution of several front-office quantitative platforms, including: • Risk and P&L analytics used by discretionary trading teams, • User-facing trading and analytics tools, • Core quantitative libraries and their integration into live systems, • New AI-enabled analytics and tooling being rolled out across the firm The role requires constant context switching and close engagement with multiple stakeholders, often under time pressure. Success is defined by correctness, trust, and adoption — not by theoretical sophistication alone. The team operates as a small, senior, low-ego group with significant influence over what gets built and when. While some prototyping or analysis may be required, heavy production development and deep original model research are explicitly not the focus. Requirements • 3+ years’ experience in a front-office or front-office-adjacent quantitative, analytical, or trading-facing role, • Strong quantitative foundation (e.g. quantitative finance, financial engineering, applied mathematics, physics or similar), with credibility in front of traders and quants, • Early-career front-office or front-office-adjacent experience in a quantitative, analytical, or trading-facing role, • Technical fluency with production analytics and data (Python, C++ or similar; SQL and time-series experience a plus), • Familiarity with market data, pricing, risk, and P&L concepts in live trading environments, • Experience working closely with engineering teams to deliver or evolve live systems, • Ability to operate across business, analytics, and technology rather than within a single silo, • Strong communication skills, with the ability to translate between traders, quants, and engineers, • Comfort operating under ambiguity, frequent context switching, and time pressure This search is being conducted discreetly. Further detail will be shared during an initial confidential discussion. To apply, either respond to this advert or send your CV directly to .

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Hardware Infrastructure Engineer (Server Platforms) This role sits within the core infrastructure operations function, supporting mission-critical research and trading systems. If you enjoy owning physical server environments end-to-end and working closely with vendors and data centre teams, this one is for you. What you’ll be responsible for • Ownership of physical server health, lifecycle, and readiness, • Hardware fault investigation and coordination to resolution, • Vendor case management, escalations, and RMAs, • Planning and executing refresh, replacement, and firmware activities, • Working with data centre teams on installs, cabling, and break/fix, • Maintaining asset accuracy, lifecycle status, and documentation, • Supporting capacity and growth planning initiatives Must-Haves • 5+ years in server / hardware / data centre infrastructure roles, • Deep understanding of enterprise server components and diagnostics, • Practical experience with HPE OneView, iLO, and Redfish APIs, • Linux exposure for provisioning and troubleshooting, • NetBox or similar CMDB / asset tools, • Ansible or infrastructure automation experience, • Vendor management and RMA handling experience, • Enterprise hardware platforms: HPE, Dell, Supermicro, Lenovo, • Strong ownership mindset and documentation discipline Nice-to-Have • Experience in low-latency, HPC, or financial environments, • Observability tooling (Prometheus, Grafana, VictoriaLogs), • Firmware lifecycle programs at scale, • Python / Bash scripting, • Capacity planning or refresh program exposure

Founding Machine Learning Engineer £140,000 - £160,000 + Equity 3 days minimum in Central London Opus are hiring on behalf of a fast-growing, Y Combinator-backed start-up that’s redefining how financial data is processed and understood. Operating at the intersection of AI and enterprise infrastructure, this company is building intelligent systems that extract meaning from complex, unstructured documents at scale. Their platform is already trusted by leading firms in the alternative investment space, and they’re now expanding their machine learning team to accelerate innovation. This is not a research role. It’s a high-impact product engineering role in forward-deployed style where your work ships into production and is used by customers daily. Key Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: • Natural Language Processing (NLP), information extraction, and working with large language models (LLMs), • Python programming and major ML frameworks such as PyTorch or TensorFlow, • MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI/CD pipelines tailored for ML workflows, • Utilising AI-enhanced development environments and tools to streamline experimentation and deployment, • Cross-functional collaboration with engineering, product, and business stakeholders, • Agile methodologies and fast-paced product development environments Preferred Qualifications The following will be considered advantageous: • Advanced academic credentials (Master’s or PhD) in computer science or a related field, • Experience in training and deploying LLMs at scale, • Familiarity with cloud infrastructure and distributed computing environments, • Exposure to modern ML tooling such as Modal, Weights & Biases, or Amazon SageMaker, • Knowledge of fine-tuning techniques including LoRA, QLoRA, or other parameter-efficient frameworks Role Overview The successful candidate will be responsible for designing and implementing machine learning solutions that interpret and structure unorganised financial data. This includes: • Developing models for classification, entity recognition, summarisation, and retrieval, • Customising and refining LLMs for specific business applications, ensuring optimal performance and scalability, • Collaborating with data engineering teams to prepare and transform large datasets for model training, • Building robust ML services with monitoring, retraining, and performance tracking capabilities, • Enhancing the organisation’s MLOps infrastructure, including model lifecycle management and evaluation systems, • Partnering with product and engineering teams to embed ML capabilities into core platforms, • Staying abreast of emerging research in LLMs and agentic AI, and applying relevant innovations to production systems, • Supporting team development through code reviews and mentoring junior engineers

Graduate Trade Desk Engineer August 2026 Start Quant Capital is recruiting a Graduate Trading Technology Engineer for a leading proprietary trading firm based in London. The firm combines advanced technology, applied mathematics, and rigorous research to trade global financial markets. Technology is a core competitive advantage, with a focus on performance, automation, and reliability. You will be joining a collaborative environment where traders, researchers, and engineers work closely to solve complex problems in real time. This role blends technical development, analytical problem-solving, and live trading support. You will help ensure trading systems operate smoothly while contributing tools, automation, and process improvements that support quantitative strategies. Working with traders, quants, and engineering teams, you will monitor trading systems, investigate issues, assist with strategy rollouts, and streamline workflows through automation. The role provides early exposure to live trading environments and suits a graduate who enjoys numerical problem-solving, fast-paced decision-making, and building practical technical solutions. Key Responsibilities • Provide technical and functional support to traders and researchers, • Develop and maintain internal tools, automation, and trading-related applications, • Assist with testing, validation, and deployment of new releases and strategy changes, • Analyse system metrics and trading data to identify root causes of issues, • Collaborate with engineering teams to enhance system robustness and performance Requirements • STEM degree from a strong academic institution, • Strong numerical, logical, and analytical skills, • Excellent Excel and data-handling ability, • Interest and some experience in programming or technical problem solving, • Familiarity with Linux or technical systems is beneficial, • Ability to perform effectively in high-pressure, time-critical environments, • Strong interest in financial markets and trading technology Additional Information Location: London Start date: August 2026 Office-based role aligned to trading hours with early starts This position offers an exceptional entry point into a front-office trading environment, providing exposure to traders, quantitative research, and advanced trading systems.

Machine Learning Scientist [Analyst/Associate] About the job As a Machine Learning Scientist on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across diverse asset classes to dynamically optimizing prices under changing market conditions. You’ll be expected to translate complex data into actionable insights and ensure your solutions are not only technically sound but also adopted and delivering measurable business value, supporting deal team members and portfolio company executives. We’re looking for machine learning scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do • Build and deliver AI solutions: Design and implement advanced models and systems as both an individual contributor and as part of cross-functional teams., • Drive impact through execution: Apply a hypothesis-driven approach to design solutions, collaborate with technical teams, and deliver results that create measurable business value., • Work in an agile, fast-paced environment: Rapidly iterate and adapt to changing priorities, using creativity and pragmatism to maximize outcomes., • Leverage modern tools and methods: Develop innovative solutions using contemporary platforms, languages, and frameworks, and package IP into reusable components., • Communicate insights effectively: Translate complex technical concepts into clear, compelling narratives that drive understanding and action across technical and non-technical audiences., • Build trust through delivery: Establish credibility by delivering high-quality solutions, challenging assumptions constructively, and iterating quickly in response to feedback., • Develop broad technical capability: Work across the full data science lifecycle, continuously learning and applying new technologies. Sample project you will work on: • Real estate portfolio valuation: Work on developing advanced valuation models for real estate portfolios using internal and external data sources. This includes building predictive models with uncertainty estimates, improving model performance through rigorous evaluation, and creating data pipelines to support modelling and analytics. You’ll also prototype processes downstream of valuation models, such as optimization approaches, to enhance pricing strategies, collaborating with stakeholders to integrate these solutions into business processes., • Price optimization & forecasting for goods: Develop machine learning models to forecast demand and optimize pricing strategies for goods sold by a portfolio company. You’ll build predictive models that incorporate seasonality and competitive pricing data, while quantifying uncertainty and maintaining model explainability to support robust, transparent decision-making. Your Experience: We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued., • Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modelling workflows., • Model development & deployment: Familiarity with deploying models into production environments, collaborating with engineering teams, and using tools like MLflow or Weights & Biases for experiment tracking and reproducibility. Proof of work in cloud environments, especially MS Azure, is a plus., • Research mindset with business impact: Ability to translate complex problems into tractable modelling approaches. Strong problem-solving skills, intellectual curiosity, and a pragmatic approach to delivering solutions that drive measurable business value., • Collaboration and Communication: Demonstrated experience working in collaborative development environments using tools like Git and Azure DevOps. Comfortable contributing to shared codebases, participating in code reviews, and managing branches and CI/CD workflows. Proven ability to work cross-functionally with data scientists, engineers, and non-technical stakeholders to translate business needs into technical solutions and ensure successful delivery and adoption. About Us: We are a new, but growing team of AI specialists- data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang, Typescript and Kubernetes experience. Python skills would also be a welcome bonus! We’re looking for experience of different types of architectures and understanding of the tradeoffs between them. In this role, you'll be a senior contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. Note: the role is 3-4 days per week in the office in London (based in Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Engineering on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must have: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-have: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realize safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

Senior Machine Learning Engineer Up to 115k Xcede is working in partnership with Faculty, one of the UK’s most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly complex, data-intensive environments. This is a senior engineering role for someone who wants to take ownership of end-to-end AI delivery. You’ll lead the design and implementation of advanced machine learning platforms, taking models from research through to live deployment. Working across multiple client programmes, you’ll shape technical direction, influence architectural decisions, and act as a senior technical voice on mission-critical AI initiatives. You’ll operate at the intersection of engineering, data science, and business delivery — helping organisations turn machine learning into reliable, scalable, and commercially valuable systems. Requirements: • Extensive experience building, deploying, and operating machine learning platforms in production, • Strong background translating data science work into reliable, real-world systems, • Deep hands-on experience with modern ML frameworks and tooling, • Expert-level Python engineering and strong software design skills, • Proven experience building cloud-based platforms e.g. Azure, • Strong background in containerised environments using Docker and Kubernetes, • Excellent understanding of statistical modelling, machine learning theory, and data-driven decision making, • Experience leading technical projects and mentoring engineers

Company Insight: A leading quantitative trading firm is seeking a Data Engineer to join a high-impact data team operating at the core of a large-scale automated trading platform. Data underpins every decision in this environment. This role sits at the intersection of engineering, analysis, and live production, partnering directly with research and trading teams to ensure data flows are accurate, resilient, and research-ready. You’ll work hands-on with diverse datasets, build automation to support real-time systems, and play a critical role in maintaining the integrity of data that drives trading strategies globally. The Role: • Building and automating tools to onboard, classify, validate, and reconcile large, complex datasets, • Analysing and debugging data issues across multi-stage production pipelines, tracing anomalies back to source, • Performing data quality checks and maintaining the reliability of live data feeds supporting trading systems, • Partnering with quantitative researchers to clean, prepare, and featurise data for research and strategy development, • Supporting live trading operations by monitoring data health and resolving time-sensitive production issues, • Working with external data providers, exchanges, and brokers to improve data coverage and robustness Experience/Skills Required: • Experience working hands-on with large datasets to resolve complex, ambiguous issues, • A collaborative approach and comfort working with multiple technical and non-technical stakeholders, • 2+ years’ experience in data engineering, data science, or a related role (with a relevant technical degree), • Strong Python skills, • Experience working with SQL and relational databases, • Comfort operating in a Linux environment, • Exposure to ETL pipelines or production data systems is a plus, • Familiarity with financial or market data is advantageous but not required Pre-Application: • Please do not apply if you are looking for a contract or remote work, • Please ensure you meet the required experience section prior to applying, • Allow 1-5 working days for a response to any job enquiry

Join a world-class team shaping the future of quantitative research and trading. Our client is seeking an academically exceptional Quantitative Developer to be part of their London build-out. This is a unique opportunity to apply cutting-edge engineering and quantitative skills in a highly collaborative environment. You'll work on delivering market data to trading systems, building integrated research and execution frameworks for high-performance predictors, and designing advanced simulation platforms in a cloud-native setting. Expect to partner closely with leading researchers, translating innovative ideas into production-quality code that drives real-world impact. Responsibilities: • Design, develop, and maintain core components of the trading system, • Champion best practices in software engineering across the team, • Build robust testing frameworks for all trading components, • Develop automated, fault-tolerant monitoring and tracking systems, • Proven experience as a Research Engineer, Software Engineer, or Quantitative Developer, • Strong programming expertise in Python and/or C++, • Exceptional academic credentials from a top-tier university, with notable achievements such as Dean's List or equivalent honors

Quantitative Developer – C# / Python London | Full-time The mission Join a leading quantitative research and trading firm using heavy compute and modern engineering to tackle some of the hardest problems in systematic finance. You’ll sit close to the money, turning cutting‑edge research into production systems that run at scale in global markets. The role This is a hands‑on engineering role working side‑by‑side with quants. You’ll design, build and optimise trading, simulation and research systems in C# and Python, with huge emphasis on performance, reliability and clean architecture. What you’ll do • Build and evolve trading systems that run 24/6 with real capital at stake., • Develop modelling and simulation frameworks that quants use to test and refine strategies., • Improve research tooling and workflows so ideas move smoothly from prototype to production., • Push performance and scalability in core services, unlocking new research and trading capabilities., • Take end‑to‑end ownership of projects, from design through to deployment and iteration. What you bring • Strong software engineering fundamentals: algorithms, data structures, architecture., • Commercial experience in C# and/or Python, ideally on complex, high‑performance systems., • Interest in quantitative finance and how engineering accelerates research and trading., • Comfort working closely with stakeholders, prioritising impact and communicating clearly. Why you might care • Work at the intersection of advanced research, serious engineering and real‑world markets., • Industry‑leading compensation, deep technical culture, serious investment in tools, learning and long‑term career growth.

DATA ENGINEER LONDON £50,000 - £60,000 THE COMPANY This pioneering AdTech organization is transforming how out-of-home advertising is measured and optimized across the UK. Backed by industry leaders, they deliver world-class audience insights using GPS data and advanced analytics to help brands place ads in the most impactful locations. As a Data Engineer, you’ll play a key role in shaping the data infrastructure that powers these decisions, working in a mission-driven, collaborative environment. THE ROLE As a Data Engineer, you will build and maintain the data pipelines and infrastructure that underpin audience measurement for out-of-home advertising. Your work will ensure seamless data flow from sources into GCP and Postgres, while supporting the team’s research and analytics efforts. Specifically, you can expect to be involved in the following: • Technical tasks: Managing and optimizing data pipelines using GCP, Terraform, and ProxMox, with a focus on handling sensitive data securely., • Other key responsibilities: Collaborating with data scientists to refine audience insights, ensuring GDPR compliance, and contributing to ad-hoc tasks that improve system efficiency. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: • 2+ years of hands-on experience with GCP (commercial exposure required) and Terraform., • Proficiency in Postgres, with experience managing sensitive data in a secure environment., • Strong communication skills and an interest in the technical aspects of data engineering., • Exposure to Proxmox is highly valued, as is familiarity with GDPR and data protection., • Exposure to Data Science is appreciated, • Experience with Linux is also desirable The successful Data Engineer will receive the following benefits: • £50,000–£60,000 salary, depending on experience., • 3 days hybrid working, with an office located in Central London., • The opportunity to work on cutting-edge audience measurement projects with industry-leading partners., • A collaborative, research-driven environment where your contributions directly impact advertising strategies. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123