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Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. The Financial Services (FS) Consulting business unit provides a diverse range of risk and regulatory compliance services to our clients to help them stay compliant, with the vast web of regulations applicable to the industry. Predominantly clients are banks and insurers but can also include investment firms and payment institutions. We are looking to recruit a talented and high performing individual to join the Prudential Regulation & Risk Management Practice within FS Consulting. The Prudential Regulation & Risk Management Practice provides a number of tailored solutions to support our FS clients with their risk management framework, prudential compliance as well as management of change and technology initiatives around risk and prudential regulations. Typical engagements in the Prudential Regulation & Risk Management Practice include: • Reviewing and refining clients' ICAAP, ILAAP, ICARA, wind down and recovery plans., • Responding to clients' queries on the interpretation and implementation of prudential rules., • Reviewing COREP, FINREP, PRA 110, MIF and other regulatory returns., • Supporting the effectiveness of regulatory change projects., • Supporting assurance on clients' processing of regulatory data., • Supporting the review of firms' prudential risk management capabilities – including reviews of relevant policies and procedures; and, how such risks are identified, measured, monitored, measured, and reported. You will be involved in non-client activities such as assisting with internal projects and research initiatives. We currently have a hybrid working model, so as a consultant you will split your time between working from home, visiting the office, client sites when required. With the potential of travel outside of the UK, depending on government guidelines. As a Consultant, you will be expected to: • Work as part of small and large sized multi-disciplinary engagement teams to deliver the types of engagements listed above., • Gather and analyse information, perform gap analysis, identify areas of improvements and offer value-adding recommendations., • Draft client-specific conclusions and recommendations based on research and project work undertaken., • Support Engagement Managers in managing delivery of client engagements. This includes monitoring and reporting on delivery status, identifying and promptly escalating any issues and risks that could impact delivery and providing guidance and quality review of others., • Develop client relationships, grow networks and assist in identifying and converting engagement opportunities., • Support the development of product offerings and preparation of technical proposals and pitches to clients., • Support in writing publications and producing materials to help others understand the impact of regulatory developments and changing risk management practices., • Coach and develop junior team members., • 2-3 years' experience of undertaking risk, control or prudential reporting responsibilities working either in the FS industry, consulting firm or any of the FS regulators., • Good understanding of products and services within Corporate and Investment Banking, Wholesale and Retail Banking, Investment Services., • Experience or knowledge of reviewing business processes, governance arrangements, control framework, operating structures and supporting IT infrastructures., • Experience or knowledge of one or more of the following:, • The UK prudential regulatory framework, covering existing and forthcoming regulations, specifically, knowledge of the PRA Rulebook, Supervisory Statements, the FCA Handbook and Basel 3.1., • Preparation or review of Internal Capital Adequacy Assessment Process (ICAAP), in particular Pillar 1 capital requirements, Pillar 2 risks, robustness of stress test scenarios; Internal Liquidity Adequacy Assessment Process (ILAAP), Internal Capital Adequacy and Risk Assessment (ICARA), Regulatory Reporting (COREP, FINREP, PRA) and Recovery Plan (RP)., • Preparation or review of Internal Capital Adequacy and Risk Assessment (ICARA) process and reporting under the Investment Firms Prudential Regime (IFPR)., • Good understanding of the PRA's supervisory model – including internal and external risk factors, and risk mitigants., • Knowledge of, and experience in, risk management frameworks, processes, controls and practices in banking and/or investment firms. This may include responsibility for supporting the implementation of risk management practices or supporting the oversight of risks in a Risk Function role., • Holds a Masters' degree qualification or equivalent., • Ability to express ideas with authority and conviction throughout verbal and written communication., • Ability to think creatively, generate innovative ideas, challenge the status quo, and deliver work effectively., • Ability to act as a role model setting high standards of quality., • Project management skills – effective time management, handling conflicting priorities, working well with others in team, managing projects independently., • Interpersonal skills: the ability to build client relationships with a foundation of trust and responsibility., • Analytical skills: the ability to think critically, research and solve problems., • Ability to multitask and work with tight timelines., • Commitment to self-development & learning. We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith. We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential. At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters

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 Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 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.

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 Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 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.

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 Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 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.

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 Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 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.

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 Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 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.

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 Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 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.

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 Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 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.

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 Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 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.

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 Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 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.

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.

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 . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do • Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users, • Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data, • Optimise relevance, latency, and response quality for interactive UI components, • Evaluate and improve models using real-world feedback, analytics and experimentation, • Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications, • Contributes to system architecture, model selection, and deployment strategies, • Provides technical guidance and mentorship to junior members of the engineering team, • Participates in Scrum / agile process, • Participates in on-call support with the rest of the team What you'll bring, • Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production, • Working experience and in-depth understanding of: - Large Language Models (LLMs) • Vector databases and semantic search, • Retrieval-Augmented Generation (RAG) • Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset, • Familiar with cloud services (e.g. AWS Lambda best practices), • Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus:, • PhD in related subjects, • Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics. You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop. What you'll do * Discuss with stakeholders requirements for analysis * Run exploratory data analysis and turn it into questions which can be answered with analytical techniques * Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems * Communicate results clearly and effectively * Take care of unclear and ambiguous requirements * Communicate complex ideas and analyses in a simple way * Work independently on complex projects * Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science * Be able to use diverse data science tools and approaches What we're looking for * A degree or equivalent work experience in data driven field * Ability to use visualization techniques for communicating data and analysis * Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. * R/Python experience * Knowledge and experience of SQL * Ability to work a minimum of 3 days a week in our central london office. Why Product Madness? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

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: Senior Full-Stack AI Engineer Location: GSK HQ Team: Enterprise AI - Data Science UK 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 GSK are seeking a Senior Full Stack AI Engineer with a strong focus on frontend engineering, user experience and product delivery. You will lead the design and implementation of immersive, interactive web experiences that leverage large language models (LLMs) as core product capabilities. In this role you will collaborate closely with product, UX/design, ML research and platform teams to translate user needs into elegant, reliable AI-powered experiences, and drive agile delivery from prototype to production. Key Responsibilities • Deliver highly interactive frontends (involving text based and video based chat experiences) built with modern frameworks like React that integrate LLM-driven features (conversational interfaces, tool-assisted workflows, structured editors, visualizations) to boost marketing productivity., • Enable measurement / analytics to track usage of the app and of LLM features, • Own the end-to-end product experience for LLM-enabled features: collaborate with UX/design to craft flows, run rapid prototypes, and iterate based on user testing and analytics., • Integrate LLMs into the application stack, handling prompt design, response parsing, tool use, chaining, and RAG strategies while balancing latency, cost and reliability., • Implement frontend architectures and state management patterns that scale for complex, real-time, and collaborative UIs (React hooks, Context, Redux/Zustand/Recoil, server-state patterns)., • Build responsive, accessible, and performant UI components and design systems (component libraries, theming, design tokens) to ensure consistent product quality and fast iteration., • Implement real-time and progressive UX patterns (WebSockets, SSE, streaming LLM responses, optimistic updates, incremental rendering) that make AI interactions feel fast and human-centered., • Collaborate on frontend work with UX designers and researchers, follow standard coding conventions, and implement best practices for design, accessibility, testing and observability., • Work with backend and platform engineers to define APIs, ingestion pipelines, vector retrieval, caching and rate-limiting strategies that support robust LLM behavior., • Drive agile delivery: break down features into deliverable increments, run sprint planning, pair with the tech PM on prioritization, and ensure production readiness through CI/CD, feature flags and canary releases., • Define and instrument UX and model-level metrics (engagement, latency, hallucination rates, user satisfaction) and use those signals to prioritize improvements., • Ensure security and privacy are integrated into the UX (PII handling, consent flows, data minimization, redaction and access controls). Minimum Requirements • 6+ years building production web applications with proven ownership of user-facing features; significant experience in frontend engineering and product delivery., • Deep expertise with React (functional components, hooks) and modern frontend ecosystems including CI/CD., • Demonstrable experience building highly interactive, immersive frontends (rich state, animations, canvas/visualizations, streaming UIs or collaborative editing)., • Strong UX sensibility and experience working directly with designers to translate wireframes and prototypes to polished, accessible product UIs., • Hands-on experience integrating LLMs / generative models into applications (OpenAI, Anthropic, local/open-source LLMs): prompt engineering, response handling, safety guardrails, RAG architectures., • Good understanding of how large language models work, including transformer architecture, tokenization, attention mechanisms, decoder/encoder-decoder variants, fine-tuning/few-shot approaches, and common failure modes (hallucinations, bias, context-window limitations)., • Solid backend experience (Node.js/TypeScript, Python, or similar) to collaborate on APIs, authentication, ingestion, and retrieval layers — enough to design pragmatic interfaces and own cross-stack features., • Practical experience building retrieval-augmented generation pipelines (embeddings, vector stores, chunking/indexing)., • Proven track record delivering features in agile teams: sprint planning, incremental delivery, feature flagging, A/B tests and operationalizing metrics., • Strong software engineering fundamentals: testing (unit/integration/E2E), observability, performance profiling, and security-aware development., • Excellent communication skills and experience mentoring engineers and collaborating across product, design and ML teams. Preferred Requirements • Familiarity with LLM orchestration and tools (LangChain, LlamaIndex, Haystack, OpenAI/Anthropic SDKs)., • Advanced visualization/graphics skills or experience building interactive applications, • Experience with design systems and component libraries (Figma workflows, design tokens), • Background in regulated industries (healthcare, pharma, finance) with awareness of compliance and data governance constraints., • Contributions to open-source projects, public talks or technical writing about LLM-enabled UX or frontend engineering. How to Apply Please submit your CV via the application form. If your initial application is successful, one of our recruiters will be in touch. Should you reach this stage, you will likely be required to submit the following in addition to your CV: • One or two recent projects where you led the frontend/UX for an LLM-enabled product (provide links, screenshots, architecture diagrams or repos where possible)., • The primary UX decisions you made and why (trade-offs, accessibility/performance considerations)., • Key technical challenges you faced (model behavior, latency, security) and how you solved them. 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 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 ___ site.

🚀 Full-Stack Product Engineer - AI-Powered Inspections Startup 📍 London Helping a well funded startup (backed by investors behind Stripe, Lime, Discord) revolutionize a billion-dollar industry still running on pen and paper. They're automating industrial inspections with AI - think factories, infrastructure, and critical safety assessments that currently waste billions due to manual processes. The role: • Build full-stack features solving real enterprise problems (TypeScript, Next.js, NestJS), • Own product decisions from user research to deployment, • Work directly with major TIC companies reshaping their operations, • Move fast - ship, iterate, and see immediate impact, • Get hands-on with customers (site visits to plants, factories, real inspections) You have: ✅ Strong full-stack skills (frontend + backend) ✅ Eye for design and product quality ✅ High agency - you figure out the 20% that drives 80% results ✅ Comfort with ambiguity and fast-paced environments Bonus: • Early-stage startup experience, • 0-1 product building (side projects count!), • B2B SaaS or enterprise product experience, • LLM/AI implementation experience Why this matters: This isn't another AI chatbot. You'll build something people genuinely need while working alongside future founders in one of London's best early-stage startup. Pre-Series A timing = massive upside potential 📈 Note: This role is fully in office at the moment as the team are rapidly building out their product. Ready to build? Apply now! #ProductEngineering #AIStartup #FullStack #TypeScript #London #StartupJobs #TechJobs #EnterpriseAI #B2BSaaS

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised experiences that are both simple and beautiful. About the Job – Machine Learning Engineer We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities • Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems., • Collaborate with research engineers to translate experimental models into reliable, maintainable software., • Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs)., • Month 1: Onboard to existing ML codebase and infrastructure; identify technical debt and reliability gaps; ship incremental improvements to model serving latency or pipeline robustness., • Month 3: Own and deliver a major infrastructure component (e.g., feature store, training orchestration, or model registry); improve system observability with logging, metrics, and alerting., • 3–5+ years building and maintaining ML systems in production environments, • BSc or MSc in Computer Science, Software Engineering, or a related field, • Strong software engineering skills: clean code, testing, debugging, version control, and system design, • Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX), • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes), • Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar), • Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt, • Familiarity with recommender systems, transformers, or graph neural networks, • Opportunity to build technology that will transform millions of shopping experiences., • Real ownership and impact in shaping product and company direction., • A dynamic, collaborative work environment with cutting-edge ML challenges., • Competitive compensation and equity in a rapidly growing company.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

Location: London (Paddington until April, then Tottenham court Road) + travel to partner locations in Oxford and Cambridge areas (Hybrid home /1 day per week in-office). Reports to: Chief Technology Officer (CTO) Start Date: March 2026 Employment Type: Contractual 6 months (20 hours with a possibility to go to FTE ) About Marley Health Marley Health is redefining proactive pet care through clinically validated biomarkers, wearable technology, and data-powered diagnostics. Spun out of the University of Oxford and the Royal Veterinary College, we’re building a connected ecosystem for pet health that empowers veterinarians, insurers, and pet parents alike. Why Join Us • Build a product that sets a new clinical standard in pet health., • Work alongside a mission driven, no-ego team focused on execution and excellence., • Make meaningful contributions every day – your work will directly shape our core product., • Join a fast-moving company backed by top-tier investors and world class scientific expertise., • Competitive salary + office space in London + 25 days holiday + company laptop & supporting tech + hybrid. About this role We are looking for an experienced Embedded Software Engineer to join our expanding team and contribute to the development of our sector leading wearable technology. Working closely with our hardware development partners, you will design, implement, and maintain the embedded software that controls our devices, which combine a range of biomarker sensors, wireless connectivity and signal processing algorithms. You will write efficient, modular and well-documented code and implement software updates and patches based on feedback and testing results. You will also debug and troubleshoot software to identify and resolve issues. You will liaise with our partner teams at Oxford University and the Royal Veterinary College, as part of a network of data and engineering specialists to develop our products and ensure high-quality, correctly structured data reaches the cloud for processing and machine learning. This is a technical, delivery focused role in a new, growing business. You will be a doer, comfortable with working in a highly collaborative environment that is changing rapidly and continues to be driven by university-led research to shape its final offering. You should expect to contribute beyond the day-to-day mechanics of software engineering, lending your technical and best-practice expertise and insight as needed to support Marley in achieving its goals. Technical competencies • Proficiency in programming languages such as C/C++ against a range of processor architectures, their SDKs and IDEs., • Strong understanding of embedded systems, hardware-software integration and real-time operating systems (RTOS)., • Familiarity of working with on-device development to support time-aligned data capture from multiple sensors; data transfer (BLE, WiFi, etc.); data pre-processing (e.g. Fast Fourier Transform) and filtering., • Experience of the impact of hardware (MCU) choice on device capability; able to contribute actively to evaluations of MCU option and, in particular, the balance between on-device and in-the-cloud processing capabilities., • Familiar with the use of firmware to store and manage device configuration details., • Track record in code optimisation, in particular to maximise battery life and operating in low power mode., • Knowledge of communication protocols (e.g. MQTT) and device drivers., • Familiarity with software version control (e.g. Git)., • Some exposure to Python (as applied to data manipulation)., • An understanding of cloud technologies and techniques for ingesting and pipelining data., • A self-starter who is self-motivated, proactive, and thrives in an early-stage environment., • Not afraid to roll up your sleeves – you enjoy working directly with the technology and solving real-world problems for real users., • Able to work and communicate effectively across technical and non-technical disciplines, tuning tone and content as necessary., • As a key member of the engineering interface between Marley and some of its key suppliers, a contributor to ensuring the relationship remains effective and aligned to Marley’s goals., • Ability to think strategically while straightening out the details., • Confident to state your view and share your insights but fully commits to a decision once taken., • Motivated by impact and excited to help build a truly novel product from the ground up.

Software Engineer London / Hybrid | Perm Role £80,000 - £100,000 Harrington Starr has partnered with a fast-growing fintech that’s transforming how businesses manage foreign exchange and treasury operations. Their technology enables clients to access institutional-grade execution, automate manual workflows, and gain greater transparency across their financial processes. Handling billions in transactions each year, they continue to expand their product offering and deliver cutting-edge solutions that help clients manage risk more effectively. The Role This is an excellent opportunity for an experienced Software Engineer — ideally with a background in financial technology or FX — to join a high-performing engineering team within a scaling fintech. You’ll be instrumental in developing and enhancing the company’s core trading and treasury systems, building new features, improving performance, and driving integration across their technology stack. Key Responsibilities • Develop and maintain software across the full stack, • Contribute to architecture and design decisions, • Support, optimise, and maintain production code, • Research and integrate new technologies, • Foster a culture of engineering excellence and continuous improvement Key Requirements • 5+ years’ experience working with C#/.NET, • Experience developing front and middle office systems, • Strong SQL skills, • Experience with cloud-native solutions (Azure or AWS), • Knowledge of event-driven, microservices architectures, • Full SDLC experience — from design through delivery and support Key Benefits • Join a fast-scaling fintech building next-generation financial technology, • Work on complex, high-impact systems handling large-scale transactions, • Collaborative, innovative, and growth-oriented team culture, • Hybrid working model with flexibility and autonomy Please apply via the link provided or reach out to me directly to book in a confidential phone call -

We're partnered with a Series A startup creating a new category of AI software that helps companies automate operations by capturing and operationalising their institutional knowledge. The team is engineering-led, with a culture built on technical rigor, ownership, and sustainable impact. This role sits at the intersection of applied AI research and production engineering - a role that is ideal for builders who want to push the boundaries of what's possible with LLMs while shipping real systems that customers depend on. The Opportunity: As AI Engineer, you'll be responsible for the design and deployment of LLM-powered systems that solve genuine operational challenges. Your work will span the full development cycle: from prototyping and experimentation to production deployment, monitoring, and continuous improvement. You'll need to be versatile - you might be refining an evaluation harness; the next, scaling async workflows or investigating why an agent made an unexpected decision in production. Responsibilities: • Design and implement LLM-based systems and agentic workflows that solve real customer problems, • Build robust evaluation frameworks to measure, track, and improve model behavior, • Develop scalable asynchronous systems for AI orchestration and task execution, • Work on RAG pipelines, multi-agent architectures, and production LLM infrastructure, • Collaborate across engineering, research, and product to define what gets built, • Shape AI strategy and contribute to long-term technical direction About You: • Proven experience building and shipping production AI systems (not just prototypes), • Strong foundations in machine learning and deep learning principles, • Hands-on experience with LLMs, agents, RAG systems, or large-scale inference pipelines, • Comfort moving between research papers and production codebases, • Natural curiosity, strong sense of ownership, and drive for continuous improvement Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs.

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are a exceptional engineers and scientists taking a novel approach to accurate database reasoning. About the role This is a founding product engineering role at the intersection of research, backend systems, and user experience. You will: • Build end-to-end product features across frontend, backend, and infrastructure, • Turn research capabilities into usable, reliable, and scalable products, • Work deeply with databases, APIs, and AI systems, • Design systems where correctness, trust, and transparency matter, • Own features from concept to production to iteration, • Think deeply about edge cases, failure modes, and product boundaries, • Help define what “AI-native products” should look like from first principles Required experience • Strong experience shipping full-stack or product-focused systems in production, • Comfortable across frontend, backend, and data layers, • Experience working with APIs, databases, and complex data flows, • Ability to turn ambiguous ideas into real, shipped software, • Strong engineering judgment and product intuition, • High ownership mindset. You build it, you run it, you improve it Why join us • Impact: Shape the first products built on top of a new class of foundation model, • Team: A small, intense, world-class research and engineering group in London, • Founding-level equity + competitive salary: Real ownership, real upside, • Direction: Define both product and engineering foundations from day one Culture • At Native, we look for people with exceptional research and engineering ability, who want to win., • Everyone loves building and is ambitious enough to want to change how the world operates for the better., • We run towards hard problems., • We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that., • If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're looking for an Engineering Manager to lead one of our engineering teams, managing a group of engineers building features that directly impact our customers. This is a people-first leadership role focused on delivery, team performance, and engineering excellence. As our second EM hire, you'll help us continue to embed effective engineering management practices across the organisation. You'll be responsible for your team's delivery cadence, quality, and growth while working closely with Product, QA, Research, and Design to ship great software. This role is not hands-on coding focused. Instead, you'll spend your time on people development, process improvement, and ensuring your team delivers high-quality work consistently and sustainably. Key Responsibilities People Leadership & Development: • Manage and develop a team of engineers, fostering a culture of continuous learning and high performance, • Conduct regular 1:1s, provide coaching and feedback, and support career growth, • Build psychological safety and team cohesion, • Support hiring as the team and company scales, • Create an environment where engineers can do their best work Delivery & Process: • Own your team's delivery, ensuring consistent, predictable output, • Work closely with Product Managers, QA, and Research to scope, prioritise, and deliver work, • Drive continuous improvement in delivery cadence and quality, • Reduce incidents and improve system reliability, • Embed and refine engineering processes that scale with the organisation, • Remove blockers and create clarity for the team Technical Engagement: • Participate in technical scoping and design discussions, • Understand the technical challenges your team faces well enough to know when to escalate or seek help from senior technical staff, • Maintain enough technical awareness to make informed trade-offs between speed and quality, • Contribute to architectural discussions without needing to write the code yourself Cross-functional Collaboration: • Partner with Product to align on roadmap and priorities, • Collaborate with QA to ensure quality standards, • Coordinate with Design on user experience, • Communicate effectively with other Engineering Managers and leadership What We're Looking For Essential: • 2+ years of engineering management experience, ideally in a scale-up or high-growth environment, • Proven track record of improving team delivery cadence and reducing quality issues, • Strong people management skills with experience developing engineers at different career stages, • Experience working in cross-functional product teams with Product, Design, and QA, • Ability to contribute to technical scoping and design without being hands-on in code, • Excellent communication and stakeholder management skills, • Comfortable operating in a fast-paced, evolving environment, • Track record of building sustainable, healthy teams that deliver consistently Desirable: • Experience in SaaS or B2B product companies, • Previous experience as a strong software engineer, • Familiarity with modern engineering practices and tooling, • Experience hiring and scaling engineering teams What Success Looks Like In your first 6 months, you will have: • Built strong relationships with your team and cross-functional partners, • Improved your team's delivery predictability and cadence, • Contributed to reducing incidents and improving quality metrics, • Embedded effective processes for planning, retrospectives, and continuous improvement, • Supported team members' growth through regular coaching and feedback, • Made meaningful progress on at least one significant team improvement initiative Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

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.

Do you want to build AI and data science solutions that directly influence high-value business decisions? Have you taken models from exploration through to production in real environments? Are you ready to work in a small, high-impact team with real ownership and autonomy? This organisation is a global investment firm operating at the intersection of technology, data, and decision-making. They have built an internal data and technology function to support deal sourcing, due diligence, and portfolio insights, using modern data science and emerging LLM/NLP techniques. The team works closely with senior stakeholders and operates like a lean product and research group within a fast-paced commercial environment. They are hiring a Data Scientist (2+ years of experience) to join their London team. This role offers exposure across research, production deployment, and short-form analytical projects, with genuine end-to-end ownership rather than narrow modelling work. Role summary You will work as a generalist Data Scientist, combining strong classical data science foundations with solid Python engineering and familiarity with modern ML/LLM tooling. The role is hands-on and delivery-focused, with opportunities to ship work into production and iterate quickly. Key responsibilities • Build and prototype data science and NLP/LLM solutions, • Take models from exploration to production deployment, • Work across multiple projects supporting commercial decision-making, • Collaborate closely with engineers and non-technical stakeholders, • Maintain high coding standards and clear technical communication Key details • Salary: £60,000–£65,000 base + 10% bonus, • Location: Central London (Bond Street), • Working model: 4 days per week in the office (Mon–Thu), • Tech stack: Python, classical DS, cloud (GCP preferred; AWS/Azure acceptable), LLM/NLP tooling, • Visa sponsorship: Not available Interested? Please apply below.

Be part of something transformative. Join a high-growth, US-backed startup at its most exciting inflection point. Fresh from securing substantial funding and demonstrating proven traction, they are now expanding into the UK market - and this is your chance to get in on the ground floor. What You'll Be Doing: • Develop and maintain applications utilising Next.js / TypeScript., • Own features end-to-end - from user interface through to infrastructure and internal tooling., • Navigate and contribute to diverse codebases across the platform., • Shape product direction and architectural decisions., • Work alongside engineers and AI specialists in a cross-functional environment., • Grow your expertise while sharing knowledge with the team. What We're Looking For: • Growth mindset - You're intentional about self-improvement and continuous learning, • Deep expertise - You've mastered something technical; the specific domain matters less than the depth of skill, • Comfort with ambiguity - You thrive on open-ended challenges and unstructured problems, • Code fluency - You can dive into complex systems and make impactful contributions quickly, • Collaboration style - You work well with others but are equally effective independently Nice to Have: • Experience with modern frontend frameworks (React, etc), • Background in API development or distributed systems For more information, please apply! Research shows that candidates from underrepresented groups often wait until they meet nearly all requirements before applying, while others apply when meeting just 50-60%. If this role excites you and you meet many—but not all—of these criteria, we still want to hear from you. We actively encourage applications from underrepresented talent and are committed to supporting accessibility needs throughout our hiring process.

Senior Python Engineer | London | £100k to £150k + benefits This is a role for engineers who want to work on problems that actually matter. You will be building backend systems that support advanced AI research and deployment decisions. The software you work on influences how complex models are tested, understood, and monitored before they reach the real world. This is serious engineering in a fast moving space, with high expectations around quality, reliability, and judgement. What you will work on • Building and improving backend systems used by internal teams every day, • Working on tools that operate at scale and need to be both fast and dependable, • Helping shape how new systems are designed and brought into production, • Collaborating closely with technical stakeholders to solve ambiguous problems, • Taking real ownership over the software you build Most of the work is Python, but this is not scripting. You will be designing systems that need to be correct, performant, and maintainable under real load. What makes this role different • You are close to the problem, not buried under layers of abstraction, • You work directly with stakeholders and influence how tools are designed, • You will own features end to end, from idea through to production use, • Engineering standards are high, but speed still matters, • This is a role where judgement counts more than dogma What they are looking for • Backend engineers who enjoy complexity and responsibility, • People who care about code quality but know when to move quickly, • Engineers who think in systems, not just features, • Those motivated by the impact of AI and how it is developed Experience with LLMs, agents, cloud platforms, or security is a bonus, not a requirement. This is a career defining role for someone who wants to stay deeply technical and work on problems that will only become more important over the next decade. If you’re looking for a role where you can make tangible impact, work on an interesting product, and be part of an exceptional team, get in touch at .

AI Engineer – LLMs / Applied AI London (onsite) Salary up to £180k + equity We’re working with a fast-growing AI startup building proprietary algorithms that are redefining how complex knowledge work is done. With strong revenue traction, top-tier investors, and a deeply technical founding team, this is a chance to help build a category-defining company from the inside. What you’ll be responsible for: • Designing, building, and deploying production-grade AI algorithms that materially improve output quality in real-world applications, • Owning state-of-the-art evaluation pipelines to benchmark models, guide R&D, and support rapid iteration, • Researching and implementing advanced prompt engineering and LLM interaction techniques, • Working across the stack (primarily Python, but also Postgres and React) to ensure research translates cleanly into customer-facing product, • Moving fast from idea to production, with direct customer feedback loops The environment: • High-ownership, low-ego team of AI researchers and elite engineers, • Strong commercial traction with hundreds of enterprise users globally, • Recently closed a major funding round from top-tier investors, • Ambitious, execution-focused culture with very high engineering standards What we’re looking for: Must-haves: • Deep Python expertise and experience shipping AI systems into production, • Hands-on experience with LLMs, prompt engineering, and modern model architectures, • Proven track record building evaluation frameworks or ML pipelines used in live environments, • Comfort working end-to-end across the stack, • Clear communicator who can reason about complex technical trade-offs, • 4+ years experience total Nice-to-haves: • Publications at top ML conferences (NeurIPS, ICLR, ICML), • Experience with LLM evaluation tooling (e.g. OpenAI Evals or similar), • Strong GitHub presence or technically ambitious side projects What’s on offer: • Salary up to £180k + meaningful equity, • Work directly with a highly technical founding team, • Visa sponsorship and private medical insurance, • London-based, high-performance office environment with meals provided, • Opportunity to help shape a product and company with genuine breakout potential Apply below!

Do you want to work on LLM systems that ship to real users, not just papers? Have you published at top AI venues and want to build in industry full time? Are you ready to join a small, elite team with a genuinely high technical bar? A fast-scaling, YC-backed LegalTech AI company is building GenAI systems across document processing, draft generation and information retrieval. Their platform is already used by hundreds of legal teams globally, and they’re now expanding their AI group as they scale in London and internationally. This is not a generic graduate role. They’re looking for exceptional early-career research engineers who can combine strong academic foundations with practical engineering execution. The role You will work on applied research problems directly connected to production GenAI systems: improving retrieval, reasoning quality, grounding, evaluation, and system robustness across large, complex document corpora. Key responsibilities • Build and iterate on LLM + RAG pipelines over technical/legal documents, • Design evaluation methods to improve correctness, faithfulness, and reliability, • Improve retrieval quality (chunking, ranking, metadata strategies, failure analysis), • Prototype and productionise applied research ideas into product workflows, • Collaborate closely with backend/full-stack engineers to deploy features end-to-end What they’re looking for • New Grad / Early Career, ideally MSc or PhD in CS/ML/NLP (or related), • Strong applied ML research background, ideally with publications in top venues such as:, • NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI (added bonus), • Strong engineering fundamentals in Python, • Comfortable working in real codebases (not just notebooks), • Product-minded: enjoys turning research into shipped systems, • Happy working onsite 5 days per week in Central London Interested? Please apply below.

Product Technician £40,000 - £45,000 | Swanley, Kent | Permanent An established product-based manufacturer is seeking a Product Development Technician to join their innovative engineering team. This forward-thinking company designs and develops cutting-edge safety and technology solutions for commercial and industrial applications. Their products are recognised for quality, performance, and reliability, and they’re committed to continuous improvement through research, testing, and creative engineering. Key Responsibilities • Carry out technical testing, evaluation, verification, and validation of electronic products and systems, • Develop and implement efficient test setups and procedures to enhance accuracy and reliability, • Support or lead product changes, updates, and documentation improvements, • Conduct benchmarking, troubleshooting, and analysis of new and existing technologies, • Support product trials on company and customer vehicles, • Assist in prototype construction, wiring, and rework of production items, • Provide technical support and training to internal teams and customers as required Essential skills and experience: • Experience working with electronics, ideally in the automotive or manufacturing sector, • Understanding of analogue and digital circuits, data signals, and 12/24V systems, • Competence in using test equipment such as oscilloscopes, multimeters, and signal generators, • Strong fault-finding and diagnostic abilities at circuit level, • Confident with Microsoft 365 and general technical documentation, • Excellent communication and teamwork skills, with a methodical and detail-oriented approach, • Flexible and adaptable, with the ability to work to deadlines and manage multiple tasks Package: • £40,000 - £45,000, • Swanley, Kent, • Monday – Friday, 37.5 hours per week, • Discretionary bonus, • Excellent culture and progression opportunities

What you’ll be doing Model Development: Design, train, and optimise machine learning models for user personalisation, including recommendation systems, ranking models, user segmentation, and content understanding, with a strong focus on TensorFlow-based development. Data Pipeline Engineering: Build and maintain scalable data pipelines to support feature engineering and model training across large structured and unstructured datasets, leveraging cloud‑native tooling. Production Deployment: Deploy, monitor, and maintain ML models in production environments, including cloud‑based model serving on GCP. Ensure high availability, strong performance, and continuous model relevance. Experimentation: Lead A/B testing and offline experimentation to evaluate model performance and guide ongoing improvement. Cross‑Functional Collaboration: Work closely with engineering, product, data, and research teams to ensure ML solutions align with product and business goals. Research & Innovation: Stay informed on advances in machine learning, deep learning, and personalisation, and evaluate their integration into existing systems. What you'll bring • End‑to‑end experience across the ML lifecycle: model development, training, deployment, monitoring, and continuous maintenance., • Strong proficiency in Python and ML frameworks, with expertise in TensorFlow (and experience with PyTorch)., • Experience with GCP machine learning and data services (e.g., Vertex AI, Dataflow, BigQuery, AI Platform, Pub/Sub)., • Hands‑on experience with ML training frameworks such as TFX or Kubeflow Pipelines, and model‑serving technologies like TensorFlow Serving, Triton, or TorchServe., • Background working with large‑scale batch and real‑time data processing systems., • Strong understanding of recommender systems, ranking models, and personalisation algorithms., • Familiarity with Generative AI and its use in production environments., • Strong communication skills and analytical problem‑solving abilities.

Software Engineer - B2B2C Health Scale-up | Up to £75,000 + Equity | London (Hybrid – 2 days in office) JavaScript | React | Node.js | TypeScript In Product is partnered with a profitable, growing health tech scale-up operating in the B2B2C space. The business is a trusted partner to leading organisations across the UK and Europe, while their direct-to-consumer products consistently receive top user reviews and are delivering measurable, life-changing behavioural outcomes. Following a period of stability and strong commercial performance, the company is now entering its next phase of growth — with a clear focus on deepening engagement with their core audience and continuing to build products grounded in research, evidence and real user needs. As a Software Engineer, you’ll join a small, experienced engineering team and work within a cross-functional squad alongside a Product Manager and Product Designer. This is a hands-on role where you’ll contribute across the stack, building clean, well-considered software that directly supports customer outcomes. You’ll work iteratively, shipping at pace while maintaining a high bar for quality, collaboration and maintainability. You won’t be operating in isolation - this is a supportive, well-structured environment with clear direction, strong product thinking and a shared sense of purpose. You’ll be a good fit if you… • Have commercial experience working as a Software Engineer in a product-led environment, • Are comfortable contributing across front-end and back-end JavaScript, • Enjoy working closely with Product and Design to understand problems before jumping to solutions, • Like building software that is user-facing, meaningful and measurable in its impact, • Are curious, thoughtful, and proactive about improving how things are built - without needing to be the loudest voice in the room In this role, you will… • Build and maintain features using React, Node.js and TypeScript, • Contribute to technical decisions with support from senior engineers and leaders, • Work collaboratively within a squad to turn research and insight into working software, • Improve existing code and patterns as the product and platform evolve, • Learn from others, share knowledge, and grow alongside a strong team What’s on offer • Up to £80,000 salary plus meaningful equity, • A financially stable business with a strong runway and clear growth plans, • Hybrid working: 2 days a week in the London office to support collaboration, • A culture that values learning, knowledge-sharing and sustainable pace, • The chance to work on products that genuinely improve health outcomes and support long-term behavioural change

Product Designer (12 month FTC) London / WFH to £75k Are you a UI UX Product Designer with a good knowledge of financial trading? You could be joining a growing Digital Wealth Management scale-up that offers a range of investment services to the public via their advanced technology platform which makes smart investing easier and accessible to all. As a Product Designer you will play a pivotal role in shaping intuitive, engaging digital experiences by developing a deep understanding of user needs, behaviours and pain points. Through user research, feedback analysis and data-driven insight, you will inform design decisions and evaluate the impact of design improvements, leading the end-to-end design process for both web and mobile applications, encompassing wireframing, prototyping, visual and interaction design, while continuously optimising usability, accessibility, and overall user engagement. As a champion of design thinking, you will collaborate closely with product managers, developers, marketers, and senior stakeholders to ensure a cohesive, customer-centred experience that aligns with business objectives. You will regularly present concepts and progress to stakeholders, balancing multiple perspectives, and stay current with industry trends, best practices and emerging technologies to drive innovation and maintain a competitive edge. Location / WFH: You'll join the team in London twice a week with flexibility to work from home the other three days. About you: • You're an experienced Product Designer with a strong portfolio showcasing a range of projects with a focus on user-centred design principles, best practices, and responsive design solutions both on web and mobile, • You have previous experience within Fintech, Digital Wealth / Asset Management or Financial Services with a good understanding of trading / financial markets, • You have experience of building, implementing and evolving design systems to ensure consistency and efficiency across digital products, • You can create high-fidelity prototypes using tools such as Sketch, Adobe Creative Suite, Figma or similar and are proficient in creating micro animations / interactions using tools such as Rive o Lottie, • You have a good understanding of front-end development technologies and iOS / Android HIGs to effectively collaborate with developers., • You have excellent communication skills and can articulate design decisions and rationale to both technical and non-technical stakeholders What's in it for you: As a Product Designer you will receive a competitive package - please note this is a 12 month Fixed Term Contract with full benefits: • Salary to £75k, • Health Insurance and wellness plan, • Training and career development opportunities, • Ability to work anywhere in the world for up to 5 weeks per year, • Friendly, diverse culture with regular social events Apply now to find out more about this Product Designer (12 month FTC) opportunity.

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. What was once technologically impossible is now within our grasp. We’re looking for a Senior Full Stack Developer to join our growing development team. What you will do 🚀 • Design and implement a new high-scale system for millions of users., • Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability., • Work on ML model development with our team to build robust data pipelines and deploy ML models., • Analyse large corpora of data and build real-time recommendation systems., • Work with large amounts of data in different modalities (text, video, images, audio), • Work in a very cross-functional team, side by side with mobile developers, product managers, ML engineers, and designers. Essential skills 🙏 • Build high-load applications from scratch., • Deep knowledge of AWS., • Architecture planning and estimation skills (time, users, traffic, money, algorithmic complexity, cache, etc.)., • Architecture scalability and simplicity., • Research skills (new APIs, libraries, services, and their estimations)., • CI/CD automation pipelines., • Proficiency with Terraform and Docker., • SOLID, KISS principles, decomposition principles, and resolving monolith vs. microservices trade-offs., • Experience with SQL and NoSQL databases., • Best practices in building scalable mobile APIs (REST, HTTPS, etc.)., • Good principles of security management (secrets, protocols, etc.)., • Experience with some Python web frameworks (Django, Flask, FastAPI, etc.). Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with real-time databases., • Experience with in-memory databases., • Experience with frontend frameworks., • Experience in developing educational products., • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.)., • Experience (even non-production) with different types of programming languages: interpreted, compiled, with garbage collection, manual memory management, reference counting memory management, etc. What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • A crew all about people and products., • Work from our London office., • Freedom to suggest, implement, and test ideas., • Unlimited learning & development budget., • We also offer substantial relocation assistance to support your move, if required. Interview Process 🧪 • Intro call, • 3 technical interviews, which will all cover, • Problem Solving, • Architecture Design and Product Design, • Domain/Platform Knowledge After all interviews, we would like to invite you to work with us in our London office for 1-2 paid test days. If everything goes well, we will make an offer to the successful candidate.

Deep Learning Engineer About the Company Join a fast-growing AI-driven technology company that’s modernising prediction and decision systems for complex, real-world industries. The organisation builds powerful AI platforms that help partners, particularly in travel and transportation - automate commercial decisions, optimise revenue and personalise customer experiences through deep learning-based forecasting and analytics. With an emphasis on bridging legacy infrastructure with cutting-edge data science, the company’s solutions provide real-time insights, dynamic pricing, and revenue optimising recommendations across large, intricate datasets. Nearly hundreds of global partners rely on this platform to make confident automated decisions informed by advanced forecasting and deep neural networks. Here your work won’t sit in a research silo, your models will directly influence sophisticated, live operational systems. The environment values intellectual curiosity, scientific rigour, and practical impact, offering opportunities to publish and present on advancements that truly matter. Role Overview We’re seeking a Deep Learning Engineer with an exceptional research pedigree, proven expertise in neural networks, and substantial industry experience with time series analysis and forecasting. You’ll empower product teams to push the frontier of AI-driven decision intelligence by developing models that power real-time forecasting, optimisation, and predictive insights on complex temporal data. Key Responsibilities • Design, develop, and deploy advanced deep learning architectures for time series forecasting, decision intelligence, and sequential prediction., • Translate research innovations into robust, production-quality systems that operate at scale and influence commercial outcomes., • Collaborate with cross-functional teams, from ML engineers to product leaders to integrate models into forecasting and optimisation pipelines., • Conduct rigorous benchmarking and experimentation, applying best practices from academic research to real-world data challenges., • Drive publications and presentations in top venues, representing both theoretical innovation and applied breakthroughs. What You Bring Essential: • Extensive research background in deep learning - demonstrated through publications in top-tier journals and conferences (NeurIPS, ICML, ICLR, JMLR, etc.)., • Strong experience with neural network models applied to time series, dynamic forecasting, and complex sequential tasks., • Industry experience implementing and refining forecasting systems in production., • Proficiency in modern ML frameworks such as PyTorch, TensorFlow, or JAX., • Experience with real-time prediction systems, probabilistic forecasting, and uncertainty quantification., • Hands-on expertise with cloud infrastructure and ML-oriented deployment workflows., • Demonstrated ability to collaborate across research, engineering, and product teams. Based in Central London Salary £100,000 - £150,000 +bonus (DEO) Hybrid working

Senior Product Engineer (Python, React, TypeScript) Are you passionate about building world-class products that empower customers globally? Join a fast-paced, venture-backed AI technology company at a pivotal stage of growth! My client are a venture-funded AI startup — already recognised as a $Unicorn and most recently achieving a multi-billion dollar valuation in our latest funding round. Their platform is trusted by tens of thousands of customers worldwide and sits at the forefront of enterprise AI video and communications solutions. As part of their Product Engineering team (400+ across product, engineering, design, and research), you’ll directly shape how our products evolve and deliver real impact to enterprise customers. 🔍 About the Role We are looking for a Senior Product Engineer with a strong background in Python, React, and TypeScript, who thrives in a collaborative and fast-growing environment. 📌 What You’ll Do • Build scalable and maintainable features across our core product using Python (backend) and React + TypeScript (frontend), • Collaborate with cross-functional teams (Product, Design, Research, UX) to define and deliver high-impact product enhancements, • Own components from conception through delivery, ensuring quality, performance, and usability, • Mentor and influence engineering best practices and grow our engineering culture 🛠 What We’re Looking For • 4+ years of professional experience building complex applications, • Strong proficiency in Python and the modern JavaScript ecosystem (React + TypeScript), • Experience with full product lifecycle delivery, • Excellent communicator with a customer-first mindset 🌍 Why Join Us • Be part of a mission-driven company transforming how organisations communicate with AI, • Work with a diverse and growing global team of engineers, • Competitive compensation and equity — success shared across the team, • Opportunity to define and build products used by major enterprise customers worldwide 💡 About the Company This fast-growing AI technology company has raised significant venture capital, has achieved unicorn status, and continues to expand its global footprint. Backed by top venture investors and trusted by leading brands, we are building the future of intelligent video and communications globally. 📩 Ready to build something amazing? Apply now and help shape a new era of product innovation.

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

Data Scientist (Mid-Level) London (Bond Street) – 4 days a week in office (Mon–Thurs) Up to £65,000 + 10% bonus About the Company We’re partnering with a high-performing international investment firm that works closely with ambitious, high-growth businesses to help them scale sustainably and create long-term value. Operating across Europe, the US, and Asia, this organisation combines deep investment expertise with modern technology to make smarter, faster decisions across sourcing, diligence, and portfolio management. Over the past several years, they’ve built an in-house Data Science and AI function that applies advanced analytics, NLP, and large language models to real-world commercial and investment problems. This is a genuinely data-driven environment where technical work directly informs senior decision-making. The Role They’re now hiring a Mid-Level Data Scientist to join a growing London-based Data Science team. This role sits at the intersection of research, production ML, and high-impact short-form analysis, offering exposure to multiple projects rather than a single narrow product. You’ll work hands-on with Python and cloud-based ML systems, contributing across the full data science lifecycle — from early experimentation and proof-of-concept work through to deployment and iteration in production. There’s a strong emphasis on solid engineering fundamentals alongside classical data science skills. This is a great opportunity for a generalist data scientist who wants ownership, variety, and exposure to LLM use cases in a commercial environment. Key Responsibilities • Research and prototype new data science and LLM-driven use cases to support commercial and strategic decision-making, • Apply NLP and language analysis techniques to large, unstructured datasets, • Build, test, and iterate on machine learning models using strong classical data science foundations, • Support the productionisation and deployment of models in a cloud environment, • Contribute to short, high-impact analytical projects supporting deal sourcing and due diligence, • Work across multiple projects and products simultaneously, balancing research and delivery, • Collaborate closely with other data scientists, engineers, and non-technical stakeholders, • Take ownership of components of the data science stack, from experimentation through to live usage Requirements: You’re a technically strong, mid-level data scientist with a solid grounding in core data science principles and a growing interest in modern NLP and LLM-based systems. You enjoy working end-to-end, writing clean, production-ready code, and taking ownership of your work. • Around 3 years’ experience in a hands-on data science role, • Strong Python skills and good software engineering fundamentals, • Solid understanding of classical data science and machine learning techniques, • Experience delivering data science projects end-to-end, from proof of concept to production, • Familiarity with NLP and/or large language models, • Cloud experience (GCP preferred; AWS or Azure also acceptable), • Comfortable working autonomously across multiple projects, • Strong communication skills and a collaborative mindset, • Experience with Transformers, Hugging Face, or modern NLP tooling, • Exposure to agentic or LLM-based frameworks, • Experience building simple front ends or dashboards (e.g. Streamlit), • Background in product-led or financial services environments Please note: This role cannot offer VISA sponsorship.

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. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: • Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment., • Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real., • Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones., • Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining., • Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. We’re Looking For: • 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it., • Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference., • Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies., • Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code., • You document experiments clearly and communicate trade‑offs crisply. Nice-to-Have: • Robotics or autonomous driving experience., • RL for LLMs or robotics (PPO, DPO, SAC, etc.)., • Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization)., • Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions., • Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. What We Offer: • Competitive salary plus participation in our Stock Option Plan, • UK Private Insurance, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free 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

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively., • Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • Hands-on experience in Docker for Production deployment., • Proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred). Nice to Have: • Experience building Agentic applications, • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: • Work in a fully remote environment, • Opportunity to work on cutting-edge AI projects with leading LLM companies Offer Details: • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST, • Employment type: Contractor assignment (no medical/paid leave), • Duration of contract: 2 months; [expected start date is next week], • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) Evaluation Process (approximately 120 mins): • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network. If you are interested in a software engineer role, please ___.

Field Service Engineer, X-ray & CT Imaging Systems No X-ray or Imaging Experience Required - Full and Comprehensive industry recognised training will be provided £53K - £66K Earning Potential (Basic, On-Call and Overtime) + Company Car + Excellent Benefits Package An excellent opportunity for an experienced Field Service Engineer with experience working on electronic or electro-mechanical capital equipment to join a market leading manufacturer of X-ray & CT Imaging Systems. • Basic Salary £45,000 to £50,000, • Company Car, • On Call Allowance Circa £3,000, • Overtime £5,000 to £15,000, • Full Product Training, • Pension, • Healthcare, • Phone, Laptop, • Holidays The Role – Field Service Engineer, X-ray & CT Imaging Systems This market leader seeks to recruit a technically motivated and customer focused Field Service Engineer, responsible for the service, installation and breakdown repair of a wide range of sophisticated X-ray and CT Imaging Systems. Your Background – Field Service Engineer, X-ray & CT Imaging Systems To succeed in this exciting role, you are most likely to have service and repair experience in one or more of the following sectors / equipment areas: • A competent background in a service or maintenance engineering capacity gained within any high value capital equipment environment, • Applications are encouraged from engineers with a broad range of backgrounds, including:, • Imaging, Printing or Pre-Press, • Semiconductor, • Manufacturing, • Maintenance / PLC’s, • Electronics / Electro-Mechanical Equipment, • Laboratory, Medical or Pharmaceutical Equipment, • Ex HM Forces Engineers (Medical and Dental, Weapons Systems, Radar, REME, RAF or Navy electronics), • A qualification in engineering, electrical or electronics is essential, • Applicants are welcome from engineers from a broad base of sectors, as full and comprehensive product training will be provided The Company - Field Service Engineer, X-ray & CT Imaging Systems • Well respected global OEM manufacturer of sophisticated imaging systems, • Their commitment to investment in research and development is second to none in their industry, ensuring that they remain a market leader, • At the core of their business lie product innovation, excellent customer service and good people This vacancy is being advertised by Halo Talent Solutions. Halo Talent Solutions is a trading name of TRS Consulting Services Ltd. The services advertised by TRS Consulting Services are those of an employment agency and / or an employment business.

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 .

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

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 DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 18 global offices in North America, Europe, Australia, Singapore and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities. ABOUT YOUR ROLE Due to rapid growth, we are seeking to expand our Data Science team and we are looking for Data Scientist Interns (end of studies) to be part of our team based in London. The Underwriting team takes action subsequently in modeling, structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients in a few day to a year timeframe. These roles will allow you to gain knowledge of the insurance industry and the emerging risks (natural catastrophes, cyber…), all while collaborating closely with other internal teams (Software, Operations, Legal and Commercial) and our external partners. At the core of our company’s strategy, your missions will focus on : • Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients;, • Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction;, • Collaborating with the business team to understand client needs and issues to further improve our product offering;, • Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools);, • Working autonomously and pragmatically to make appropriate technical decisions with attention to details. Your missions will evolve in the future as Descartes is growing fast and many exciting projects are waiting for you. It's a unique opportunity to take a closer look inside a fast-growing scale up with huge ambitions ABOUT YOU EXPERIENCE & QUALIFICATIONS • Student from academic institutions, universities or engineering schools with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business;, • Keen interest in climate related topics;, • Highly skilled in statistics, probabilities, applied mathematics and machine learning methods;, • Eye for quality and attention to detail;, • Fluency in English (written and verbal communication) is required;, • Proficiency in Python (e.g. pandas, scikit-learn);, • Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes etc);, • Excellent team player able to work under pressure and respect deadlines;, • Strong desire to learn and commitment to the organization’s mission;, • Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment;, • Motivated to help improving businesses’ and communities’ resilience to climate change. WHY JOIN DESCARTES UNDERWRITING ? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Work in a collaborative & professional environment ;, • Be part of an international team, passionate about diversity ;, • Join a company with a true purpose – help us help our clients be more resilient towards climate risks;, • Attractive remuneration according to the profile, meal voucher, 60% transport reimbursement. At Descartes Underwriting, we cherish the value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2: At home technical online test (Github repository), • Step 3: Remote technical interview with a Data Scientist, • Step 4: In-person team interview to meet our team and discover our offices (held remotely if you are abroad)

LLM, RAG & Agentic AI Engineer – Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm’s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design (Insurance-Focused) You will design and deliver production-grade AI systems for insurance clients, including: • LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations, • Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls, • Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation, • Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies, • Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers, • Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability, • Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous insurance challenges into clear, feasible AI solutions, • Assess client data maturity, policy document quality, legacy platforms and security constraints, • Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation, • Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities, • Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences Delivery Excellence, AI Ops & Reliability (Regulated Environments) You will ensure solutions are enterprise-ready and regulator-safe by: • Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias, • Designing monitoring, logging and tracing suitable for regulated insurance environments, • Applying governance, risk and compliance principles (eg audit trails, explainability, access controls), • Supporting controlled releases and operational handover into insurer IT and operations teams, • Ensuring reliability, reproducibility, performance and cost discipline at insurance scale Reusable Assets & Insurance AI Capability Building As part of a consulting-led engineering practice, you will: • Build reusable insurance-specific accelerators, agent patterns and reference architectures, • Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases, • Share emerging research, frameworks and AI trends relevant to the insurance sector, • Influence delivery methodology, technical standards and agentic design patterns for regulated industries Experience & Skills This is a hands-on consulting engineering role. Candidates should bring: • Experience in software engineering, AI engineering or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade, regulated systems, • Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains, • Proven ability to rapidly prototype and validate solutions with business stakeholders, • Experience working directly with clients in consulting, professional services or regulated enterprise environments, • Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Get to Know Us Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. 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 a Senior Applied Scientist 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

Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for a Senior Python Engineer, and we’re hoping it’s you! In this role! You'll help lead and implement the improvement of algorithms, optimising execution, usability, and package architecture of our ML Verification packages. Note that this is a Python code focused role, rather than a Data Science role, so Python programming skills are the priority, where as Machine Learning and Data Science skills are secondary. There will be plenty of opportunity to get involved in machine learning model training, evaluation and deployment, as well as all the associated ecosystems of tools, however the key mission is work magic on our python based tools and packages. We’re looking forward to having you on board! Responsibilities: The position requires a passion for science and engineering, paired with an ability to produce production-ready solutions while working closely with both product and research teams. As a Safe Intelligence Senior Python Engineer, you will: • Play a leadership and mentoring role in Python package and code development including strong modelling of best practice and efficient procedures., • Productise a set of Python packages and tools for use in machine learning applications that build on powerful algorithms developed by the research team., • Contribute towards making verification and robust-learning algorithms scalable and more efficient, and developing a clean, well-organised code-base that supports our goal of making these methods intuitive and easy to use by the wider community., • Work closely with the platform team to interface and containerise the packages and toolkits for scalable deployment., • Stay updated with the latest technologies and trends in Python development and actively contribute to the team's technical knowledge base., • Contribute to Machine Learning related Open Source initiatives. Requirements: The technical requirements for the role are: • Extensive professional experience as a Python-based developer., • Experience with modern Python development techniques and design patterns., • Experience with the development of highly parallelised applications, including memory management., • Experience with widely used tools in data science and machine learning. Developers should be somewhat familiar with libraries like NumPy, pandas, scikit-learn, and PyTorch., • Proficiency in testing approaches and frameworks like pytest as well as automation tools like Github Actions or Travis CI for maintaining code quality and continuous integration/continuous deployment (CI/CD) pipelines., • Advanced proficiency with code maintenance tools and best practice, including Git and configuring workflows., • Experience either contributing to or maintaining Python based open-source projects., • Have a passion for code quality and things done right. Additional beneficial experience includes: • Familiarity with CUDA and optimising highly parallelised GPU-based computations are a plus, • Familiarity with the end-to-end supervised training of neural networks and accompanying MLOps ecosystem are a plus, • Familiarity with Django and related frameworks / tools, • Familiarity with other programming languages and frameworks At a personal level we’re also looking for someone who is: • Passionate about delivering software to realise 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, researchers and other partners., • 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 bring great benefits to individuals and society, but these will 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 rigor 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!