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We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, andtogether we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, andtransport. Our teams operate globally from offices across theUK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Flexible working - We operate in a Hybrid working environment, where you will be required to come into your designated office 2 days per week. This is an interesting and varied role where you will be responsible for designing, developing, and deploying AI enabled solutions on the Azure and wider Microsoft 365 platform. You will utilise Microsoft low code tools such as Copilot Studio, Teams toolkit and the Power Platform to deliver solutions where appropriate, whilst having the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI enabled solutions where appropriate, applying the latest advancements in AI and Azure technologies to solve complex business problems. Confident in deploying and operating a variety of systems to ensure that all environments are available, reliable, secure, and able to meet the demands placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power and wider Microsoft 365 platforms Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions Staying up-to-date with the latest advancements in AI and Azure technologies and incorporating them into projects Providing technical leadership and mentorship to other team members Ensuring best practices in AI development, including data privacy and ethical considerations. Qualifications Qualifications Strong knowledge of the Microsoft stack, particularly Azure Proficiency in programming languages such as Python, C# Excellent problem-solving skills and the ability to work independently and as part of a team Proficient in low code tools such as Power Platform, Copilot Studio and Teams Toolkit Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders A self-starter, happy to work in isolation or as part of a larger team and able to use your own initiative rather than always relying on direction from others Appreciate the importance of high availability and secure systems and infrastructure. Ability to communicate at all levels of an organisation with the ability to work effectively as part of a team A keen interest in technology and the IT market. Any experience of the below is a plus: Experience with DevOps practices and tools, such as Azure DevOps or GitHub Actions. Knowledge of containerization technologies like Docker and Kubernetes. Certification in Azure AI Engineer Associate or similar is a plus. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity - bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

Build the future of brand tracking: from the ground up We've launched a new team to build the next big thing at Tracksuit. It's a 0 1 product, focused on making Tracksuit's brand data accessible to marketing agencies and partners. We already have an initial dream team, with 4 members: A Product Manager A Product Designer A Data Scientist A Principal Engineer Now, we're looking for a Senior Full Stack Engineer (with strong front-end capabilities and a deep interest in generative AI ) to join the team. This is your chance to have massive impact from day one, working across the entire product lifecycle, shaping the MVP, building core architecture, experimenting with AI, and growing the product into a world-class platform. Why this role Is special 0 1 opportunity: This isn't iterating on existing features, this is greenfield, from scratch, customer-driven product development. Product ownership: You'll be deeply involved in product decisions, working closely with design, PM, and data to build something people love. AI-infused: We're leveraging generative AI to accelerate workflows and uncover insights, with Tracksuit's brand data. You'll play a key role in shaping how we integrate AI in useful, elegant ways. Startup energy with strong foundations: At just over 4 years old, we're already working with 500+ brands across NZ, AU, UK, USA and Canada. You'll get startup pace with the stability and reach of a scaling company. What you'll do Own technical delivery from MVP to product-market fit and beyond. Collaborate with product and design on shaping features, flows, and systems. Build delightful, performant interfaces and robust backend services. Contribute to architecture and long-term scalability decisions. Use generative AI tools to power product features and supercharge your workflow. Help evolve the team into a fully-fledged product squad. Be a mentor, collaborator, and culture carrier on the team. What you will bring 5+ years of software engineering experience. Proficiency in TypeScript and modern front-end frameworks (e.g. React). Solid backend engineering skills ( Node.js or similar). Comfort working in ambiguous, fast-changing environments. Experience with or strong interest in applying AI in product development. Product mindset: you care deeply about the user experience. A collaborative, low-ego, growth-oriented approach to work. At just over 3 years old, we're incredibly grateful and excited to be working with over 600 epic brands across AU, NZ, USA, Canada and the UK. Tracksuit's vision is to be used in every strategic growth conversation for the best consumer brands of today and tomorrow. We're doing this by becoming the common language to measure and communicate the value of brand building. We've built beautiful, always-on, radically affordable brand tracking - taking an old-school, $100k+ market research product and making it 10x easier to use and 10x more affordable. We're a tight-knit, supportive, and ambitious team, driven to empower companies to use brand to drive success. Our culture thrives on complete transparency, trust, learning, and constant development and improvement. Underpinning the experience are our great benefits, including: Compensation: Transparent compensation reviewed regularly Employee Share Option Program (ESOP): So that everyone on the team has a share in Tracksuit's success. Progressive health and wellness benefits: Including an annual wellness bonus, access to a premium EAP platform, and 6 weeks of paid annual leave. Generous parental benefits: 12 weeks' paid parental leave for either caregiver, additional sick leave for IVF, gradual return to work. A $1000 personal L&D budget for each Trackstar, plus additional growth opportunities including mentorships, speaking engagements, and travel. Flexible working: We have beautiful offices in Auckland, Sydney, London, and New York. We are an office first work environment, however we understand that life can get messy. We provide flexibility in our approach to working options and will work with you to find the right balance and approach to WFH/in-office work. Most importantly, when you join, you'll receive an epic Tracksuit which reflects our vibe. We are built for speed and comfort, we're fun and informal, and we're practical and ready for anything. Sound like a bit of you? Apply now or reach out directly. We'd love to chat.

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: For airports, for partners, for people. We are CAVU. At CAVU our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody. From the smallest ideas to the biggest changes. Every day here is about creating better travel experiences. From our revenue-accelerating single platform technology, Propel, through to our world-class hospitality venues including 1903 and Escape Lounges - our solutions make travel more seamless and enjoyable for passengers, and more profitable for our clients and partners. We know that to bring your best ideas, you need the space to think, the right support, and the freedom to be your true, authentic self. Whether you're working from our offices, from home, in a lounge, or out on the road, we provide the environment to create, innovate, and transform airport travel. If you're looking for a career where you can make a real impact, bring new ideas to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role: The Data Scientist role at CAVU is an exciting opportunity to be at the forefront of our data-driven transformation. Sitting within our centralised data team, you'll act as an internal consultant across multiple business areas, developing models and data products that shape both operational and commercial decisions. As a key member of the Data Science function, you'll work closely with specialists in Data Engineering, BI, Analytics, and Data Governance to solve new andexciting problems - from customer personalisation models to forecasting and NLP use cases. You'll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices. This is a fantastic opportunity for a curious, solutions-focused data scientist to help build out our capability, working with cutting-edge tools like Databricks, AWS data services, PySpark, and CI/CD pipelines. What's in it for you? You'll be joining a collaborative, supportive team with a real passion for data-led innovation. It's a chance to help shape the future of data science at CAVU, contribute to best-in-class products, and see your work directly influence how we serve customers and partners around the world. If you're excited about problem-solving, experimenting with new ideas, and delivering real business impact - we'd love to hear from you. About you: 2-5 years of experience in Data Science or a related field Strong programming skills in Python and PySpark Strong data science modelling skills across classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience deploying and maintaining ML pipelines within Databricks Comfortable working with AWS data services and modern data architectures Experience with CI/CD pipelines and code versioning best practices Preferred skills: Familiarity with Databricks Asset Bundles (DAB) for CI/CD and workflow orchestration Experience with Harness or similar deployment automation platforms The Perks 25 Days Holiday, with the option to buy up to 10 more, plus 4 flexible bank holidays 10% Company Pension Annual Bonus Scheme 2 Weeks Work From Anywhere MediCash Programme On-site Gym A Host of Flexible Benefits & Discounts ED&I at CAVU We are an equal opportunities employer. We do not discriminate based on religion, race, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We also understand that some demographics may be less likely to apply unless they meet every single requirement listed. If you're reading this and don't tick every box, please still make yourself known to us. We'd love to hear from you. If you require reasonable adjustments to participate in the interview process, please contact us to request assistance Are you ready to reach new heights? Apply via the link.

About Mytos You rarely get the chance to change an entire industry. But that's the position we find ourselves in. Join us, and you'll unleash scientists, accelerate their research and help get cures to patients sooner. We've developed machines to fully automate human cell production - the most manual process in Biotech. Cells are used to discover and develop new drugs, and now they're being cure diseases like Parkinson's and age-related blindness. Mytos will impact cure development across the board. We're live in multibillion dollar biotechs on both coasts of the US, and raised $19m to expand into the market faster, and accelerate our development! Next year, neurons grown on our machines will be going into Parkinson patient brains. We've assembled a world-class team to take on this challenge, with ex-Dyson engineers and Nature-published scientists working hand-in-hand. You can learn more about your potential Mytos teammates here: Team Mytos is backed by Y Combinator, the most successful startup program in the world which produced companies such as AirBnb, Dropbox, and Ginkgo Bioworks. The Role As a Junior/Mid level Software Engineer (depending on experience) you'll be contributing across all areas of our full-stack product based in the Cloud, and our IoT devices that interface with Mytos hardware to manufacture cells. You'll contribute across a variety of technologies and paradigms, leaning how to research, design, implement, maintain, and evolve product functionality giving users powerful tools to customise and monitor cell growth protocols. Your work will directly impact how quickly and effectively new therapies and research tools can be developed, ultimately helping patients worldwide. What You'll Do Collaborate closely with other engineers to deliver end-to-end product functionality spanning experiment scheduling, automated image analysis, and remote operation of our devices. Develop and improve our frontend applications using TypeScript, React, and GraphQL to create intuitive interfaces for complex biological workflows. Build backend services that communicate with our hardware systems and learn about data integrity throughout the cell manufacturing process. Collaborate across disciplines with hardware engineers, biologists, and commercial teams to build reliable and effective systems in record time. Learn and contribute to our testing methods to help us deliver quality software at speed. Learn and contribute to architecture and infrastructure, system performance, and interesting distributed system challenges. Write code that you can immediately see the real-world impact: testing on our prototype machines in our own lab. Up-skill in domains outside software engineering, from donning a lab coat and be trained on the nuances of stem cells, to the basics of fluid mechanics. Be given a lot of autonomy, responsibility, and ownership of product problems and the technical solutions you design and deliver to address customer needs. What We're Looking For (depending on experience level) Are early in your software career and want to join an environment that gives you the chance to grow quickly Have demonstrated technical promise so far in your studies or work Want to work on difficult technical challenges in a field that will define the biggest scientific advancement this century Self-starter attitude with a drive for producing quality work. Care and compassion for customers and colleagues. Experience with full-stack web development using TypeScript or other typed languages. Experience with modern frontend frameworks (React preferred). Experience with backend development and API design (Node.js preferred). Experience working with databases (PostgreSQL and Prisma or similar ORM experience ideal). Our technologies Frontend (Netlify): React, TypeScript, GraphQL, Storybook Backend (AWS & Heroku): NodeJS, TypeScript, GraphQL, MQTT, PostgreSQL, Python, Pulumi IaC Physical Device (on-premise): NodeJS, Typescript, FastAPI, Python, MQTT Firmware: C++, GTest, GMock, Bazel, Platformio Nice-to-Haves: Understanding of distributed systems concepts. Experience with Python for data processing or image analysis. Background or interest in biology, lab automation, or scientific instrumentation. Any experience with regulated environments (GMP, HIPAA, etc.) Any experience with UI/product design processes and tools (wireframes, mockups, looks-like prototypes, etc.). Why You'll Love Working Here Impact: Your work will directly enable the production of cell therapies that can transform patients' lives. Growth: We're solving complex problems at the intersection of software, hardware, and biology-you'll constantly learn and develop new skills. Autonomy: You'll have the freedom to shape our approach to GMP readiness, with support from a talented cross-disciplinary team. Team: Work with the best engineers and scientists in a collaborative environment where diverse perspectives drive innovation. Salary and Benefits Competitive salary with stock options Collaborative team environment with very high potential to learn new skills 32 days holiday (bank holidays, end-of-year closure, and21 days discretionary PTO) Workspace with office, workshop and wet lab facilities in the Imperial College Innovation hub, White City Strong in-person culture with team lunches covered daily when in office Flexible working with core hours (10am to 4pm) to support team collaboration Hybrid working (typically 2-3 days on-site per week) that respects where you do your best work while maintaining overall team efficiency Competitive pension scheme with tax-efficient salary sacrifice option We're building a team that enjoys moving fast, strives for continuous improvement through learning from mistakes, and is passionate about work that contributes to solving real world problems. No GMP experience? No problem! We want someone who is motivated to deliver an innovative product into a regulated space with creative, efficient solutions. If you're excited about solving interesting problems at the intersection of software, hardware, and biology while helping us prepare for the next phase of our growth, we want to hear from you! We currently do not sponsor visa for our junior roles.

Data Engineer / Scientist Department: Consultancy Employment Type: Full Time Location: United Kingdom / Hybrid Description As a Data Engineer/Scientist at Actica, you will have the opportunity to design, build, and maintain data pipelines while developing advanced analytics solutions to unlock business problems for high-profile UK public sector organisations. Your expertise will enable organisations to maximise the value of their data assets through robust data infrastructure and sophisticated analysis, playing a key role in nationally critical projects that make a real difference to people's everyday lives. Locations: London, Guildford, Bristol, M4 corridor Hybrid working Roles and Responsibilities Actica recognises that data engineering, analytics, and data science are distinct but interconnected disciplines. Our data engineers focus on building and maintaining the data infrastructure that enables analytics and data science work, while our data scientists and analysts focus on deriving insights and developing models. At Actica, we're at the forefront of the UK government's AI transformation agenda, seeking skilled data specialists to architect and implement advanced analytics solutions for critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation frameworks while implementing automation that drives government efficiency. You'll collaborate with stakeholders to transform legacy systems, implement data governance frameworks, and ensure solutions meet the highest security standards. Our deep expertise in public sector digital transformation and established presence across defence and government organisations offer unique opportunities to shape the future of UK public services through innovative data-driven solutions. With our strong technical foundation and focus on mission-critical systems, you'll be part of a team delivering nationally significant projects that have a real impact on public service delivery. If you're passionate about applying cutting-edge data science and engineering in secure environments while contributing to the UK's digital transformation agenda, we should discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data requirements Project Responsibilities: You will work on assignments such as: Architecting end-to-end data solutions for major business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Developing real-time data processing systems Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those sectors is desirable, preferably in roles which have used data to solve business problems. The fast-moving nature of the Public Sector technology environment, together with the need to resource multiple, ad-hoc assignments, also requires our data analysts and data scientists to be quick thinkers, proactive and self-motivated - with the ability to apply a structured approach to often unfamiliar subject matter. The following attributes and areas of experience will make you particularly suited to this role with Actica: Coding e.g. expertise in Python or R; Collaborative, team-based development; Cloud analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches and tooling e.g. Hadoop, Spark; Data engineering approaches; Database management, e.g. MySQL, Postgress; Software development methods and techniques e.g. Agile methods such as SCRUM; Software change management, notably familiarity with git; Public sector best practice guidance, e.g. ITIL, OGC toolkit. Additional Requirements: Must be eligible and willing to obtain UK Government Security Clearance. Key Attributes for Success: Ability to engage effectively with stakeholders, including resolving issues and identifying new opportunities. Strong interpersonal and influencing skills. Adaptability to a fast-paced, ever-changing environment. Working Arrangements: Hybrid working model, with an office base in Guildford, Surrey and access to our other offices in London, Swindon and Cheltenham. Typical working week might involve 2-3 days working at clients' premises or other locations and the remainder at home or at one of our offices. Some projects may require up to 5 days per week on-site with colleagues. The practicalities of some project work means that individuals may need to stay away from home during the working week Team-based project environment with opportunities to participate in internal initiatives. Career Development A Mentor will be on hand to provide support and guidance throughout your journey with Actica. You will also work with a Performance and Development Manager, often outside of your project line of control, who will conduct regular reviews based on project feedback to set career objectives and identify training courses which are both relevant to your current project work, and aligned with your planned career progression. Our Commitment to Diversity Actica aims to nurture a diverse workforce through inclusive working practices, promoting equality in our recruitment activities, and by employing candidates on the basis of merit. Discrimination against individuals on the grounds of protected characteristics is not permitted and we take steps to ensure that our staff are made aware of their legal responsibilities when making hiring decisions. We offer a competitive suite of benefits.

Why We Exist At Raylo, we're on a mission to accelerate the move to a circular economy. The only way customers and manufacturers will make that shift is if it's simple and cost-effective - this is where we come in. Our technology platform powers the lease-and-reuse of devices, making them more sustainable, accessible, and affordable. We're building a category-defining marketplace, making premium tech available via subscription for both consumers and businesses. With over 100,000 subscribers in the UK - and growth accelerating - we've proven the demand for a smarter, more sustainable way to access technology. Raylo is a profitable, B Corp-certified company, driven by purpose and backed by leading investors including NatWest, Channel 4 Ventures, Macquarie, Octopus Ventures, and Telefónica. We're also proud of our industry-leading customer satisfaction, with an Excellent 4.5-star Trustpilot rating from over 7,500 reviews. If you're looking to make a real impact and be part of a high-growth, mission-driven team, join us at Raylo. Together, we're not just reducing waste - we're shaping the future of technology in a way that's smarter, more sustainable, and built to last. Our Core Values Be deeply curious - We thrive on innovation through diverse approaches, views, and people. Walk in your customer's shoes - To build the best products and make the best decisions for the long term, we must figure out what our customers need, not just what they want. Focus and execute - We have a big vision, but we believe in nailing the most important problems first. Be gritty - Only gritty teams succeed. Our individual ownership, passion, and perseverance mean we're a team through thick and thin. What to expect Reporting to the Co-Founder and Chief Product Officer, you'll lead a cross-functional team-including Risk Strategy, Frontend, and Backend Engineers on Raylo's Risk Decisioning & Pricing capabilities. Working closely with engineers and data scientists, you'll optimise approval rates and drive sustainable, profitable growth. That means boosting approval rates-finding and accepting more good customers while keeping risk in check-alongside pricing optimisation to improve conversion rates and UX improvements that make the journey seamless. As Raylo's second product hire, you'll have the opportunity to make a major impact. You'll tackle some of our most complex challenges and own our most important proprietary tech. We move fast, ship frequently, and stay focused on outcomes. Your primary focus will be on building the product and proprietary tech, while the Risk Strategy Lead owns analytics, credit risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling scalable, automated credit and fraud decisioning. Product lifecycle ownership: Drive product development from concept to execution, including defining requirements, managing trade-offs, and prioritising technical work. Strategic partnership: Collaborate with the Risk Strategy Lead to ensure alignment between risk strategy, data insights, and the technical implementation of our risk systems. Enhance and refine: Drive improvements to priority risk models , exploring opportunities to leverage LLMs (Large Language Models ) for enhanced credit decisioning, fraud detection, and risk evaluation. Integrate cutting-edge: Incorporate new and innovative fraud data sources to enhance risk assessment and decision-making. Leverage Open Banking: Maximise the use of Open Banking for both consumer and business decisioning to create more informed, data-driven risk models . Ensure compliance: Work with legal and compliance teams to maintain alignment with FCA regulations and other relevant requirements. A/B Testing & optimisation: Implement A/B tests to enhance funnel performance. full-feature Low-cost experimentation: Test concepts with Risk Ops before full-feature development to drive efficiency and impact. Who you are You're a technically minded problem solver with a passion for backend systems and fintech innovation. You enjoy collaborating with diverse teams and translating complex technical challenges into actionable solutions. Key skills & experience: Technical expertise: 5+ years in Product Management with a strong technical background, ideally with a STEM degree or engineering experience. Familiarity with backend system architecture is essential. Domain knowledge: Experience in risk-related areas such as credit risk decisioning, payments, or money laundering prevention. B2B or internal tool expertise in fintech is desirable. Analytical & data-driven: Proficient in tools like Amplitude, with a knack for extracting actionable insights from data. Influence & communication: Exceptional ability to influence engineers and cross-functional stakeholders to drive alignment and deliver results. Problem-solving: Creative, adaptable, and resourceful, with a track record of overcoming technical and business challenges. Nice-to-Have Familiarity with SQL to dive deeper into data and metrics. Experience working in a startup environment, preferably in risk, lending, or payments domains. We're not looking for you to meet every point on this job description, please still get in touch if you think you could add value and do your best work here at Raylo. We'd love to have a chat and see if you could be a great fit. Opportunities & Benefits We are continuously improving and listening to our quarterly employee surveys to provide the best opportunities and benefits for our employees. Share in Raylo's success - Stock options for all employees Get the latest tech - Exclusive Raylo device lease for employees 33 days off, your way - 25 days + 8 bank holidays with full flexibility to use on the days that mean the most to you Invest in your growth - L&D budget to support the skills you value Fast-track your career - Two performance reviews a year Family-first policies - 5 months full pay for primary caregivers, 1 month for secondary caregivers Save big on childcare - Workplace nursery scheme for major cost savings Perks on perks - Perkbox membership with discounts & wellbeing benefits Good times, guaranteed - Optional quarterly socials, plus summer & Christmas parties. Hiring Process What's next? Once you submit your application, our Talent Team will contact you if you have been shortlisted for the role for a Talent Screening call. We set an exceptionally high bar at Raylo, and in return, we will aim to give you the best candidate experience possible. If there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason, please let us know. As an FCA-regulated business, we conduct background checks (DBS and AML) on all successful candidates who are offered a position at Raylo during the onboarding process. Diversity & Inclusion at Raylo At Raylo, we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives, believing they make us stronger.

Location Glasgow, UK The Vacancy Due to an increase in workload Structural Soils , part of the RSK Group , have exciting opportunities for experienced and ambitious Senior EngineeringGeologists to join our expanding team in Glasgow, UK. This position is open to part time and/or flexible working arrangements for the right candidate who wish to be a part of a growing team but wish to work around other commitments. The focus of this role is primarily office based although some site visits may inevitably be required. Responsibilities: Focused on office-based duties in relation to ground investigation projects across Scotland and the UK. Able to project manage multiple factual site investigations to meet commercial, SHEQ and technical requirements, overseeing budgets, programme and resources, adherence to specification and constraints. Display attention to detail, able to peer review logs, reports, SHEQ documentation, test and monitoring data. Liaising with clients, engineering supervisors and subcontractors. Setting up and organising ground investigation works. Able to site manage sizeable factual ground investigations or have an area of specialism within ground investigations. Soil and rock logging to current geotechnical standards, including laboratory scheduling. Report writing and checking. Manage your own time and workload around the demands of the projects. Training and line manager duties for junior staff members Person Specification: Previous UK ground investigation site experience is essential. BSc degree level qualified in Geology, Earth Science, Geography, Civil Engineering, Environmental Geoscience or a related environmental subject is essential An MSc in a related subject is desirable but not essential. A desire to become a key member of the local and national team of engineers through demonstrating excellence in their work. Be able to log samples to BS 5930+A2 technical standards Experienced in water, ground and soil gas monitoring techniques Excellent report writing skills with a keen eye for detail and accuracy Excellent contractual and commercial awareness. Full UK driving licence is essential Salary and benefits: Salary Commensurate on experience. 31 days annual leave (including Bank Holidays), rising to 36 for extended service. (Pro Rata) Life insurance, pension scheme and free private GP service. A flexible benefits programme including the option to buy additional holidays, health cash plan and discounted gym membership, cycle to work scheme, electric car salary sacrifice scheme, plus more. Payment of relevant professional memberships and mentoring to chartership. The RSK Group are an equal opportunity employer RSK will not accept unsolicited CVs from agencies other than RSK PSL or Secondary agencies. About Us Since its establishment in 1964, Structural Soils has evolved into an award-winning national, multidisciplinary, integrated geotechnical and geoenvironmental site investigation company. Owing to our astute personnel and range of equipment, we have the capability and capacity to undertake contracts of any size and scope and in any location. We regularly work on projects across the UK and internationally, serviced by a desk-based department working from offices in Bristol, Castleford, Coventry, Glasgow, Hemel Hempstead, Wigan, Plymouth and Tonbridge. Structural Soils works with a vast number of clients from wide-ranging industries, both private and public. A client may seek advice on house subsidence, or a multinational energy company may require our help in constructing power stations. Our industry-renowned expert staff offer technical, logistical and contractual advice on all aspects of ground investigations. Our technical staff include civil engineers, geologists, engineering geologists, chemists and environmental scientists. Structural Soilsis part of the RSK Group, a leading integrated environmental, engineering, and technical services business providing dynamic, multidisciplinary services to a wide range of sectors. RSK was founded in 1989 and has grown considerably since then. At RSK, we operate as a group of businesses that work together seamlessly, aiming for growth through diversification. Our strategy helps us build a strong and resilient business, capable of weathering external challenges, while also providing greater value to our clients and more opportunities for our employees. Since the beginning, our philosophy has remained the same: employ, develop and reward talented individuals. People are crucial to our company, and we recognise that our success hinges on our colleagues' growth. We're committed to preserving RSK's people-first culture, promoting innovation, and fostering a supportive and caring environment for collaboration. At RSK, we want you to be part of our successes and help you reach your career aspirations. We take pride in offering employees fulfilling and challenging careers by promoting ongoing growth and empowering individuals to excel. We are committed to fostering an inclusive workplace that welcomes individuals from all backgrounds, experiences, and perspectives. We firmly believe that embracing and celebrating the diversity in our workforce makes us a stronger and more innovative company. By providing workplace adjustments, we make it easier for people to confidently explore and pursue our career opportunities and recognise that flexibility is key to fostering a dynamic and thriving workplace.Many of our office-based positions benefit from a flexible working arrangement, allowing our team members to achieve a balance between professional and personal commitments. We actively encourage applications from candidates of all genders, races, ethnicities, ages, neurotypes, religions or beliefs, sexual orientations, and those with disabilities. If you're passionate about making a difference, join us as we work together to build a brighter, more equitable, and sustainable future for all. Do you have what it takes?

We Are Redefining How People Approach Their Health ZOE is the science and nutrition company leading a movement to transform the health of millions. We exist because the food we eat is making us sick. Most of what we are taught about food is wrong. ZOE runs the world's largest nutrition science study to find scientifically proven solutions. Our randomized controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years. ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement. Over 100,000 people rely on ZOE Membership, our personalized nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal. ZOE means life - and you can change your life with food. Visit our career page and become a ZOEntist. About the Team At ZOE, we're on a mission to empower people with the most advanced science and technology to transform their health. Our Snap team is at the heart of this mission, developing AI-driven solutions that make food logging effortless-just by using a camera! If you're passionate about cutting-edge machine learning, building impactful products, and solving real-world problems, this is the role for you. About the Role We're looking for an Lead Machine Learning Engineer to join our team of ML engineers and data scientists, helping to scale our product to millions of users, and working on some complex technical problems. You'll be tackling a range of challenges that will require analytical thinking and keen instincts, as well as an understanding of our domain and how our users behave. You'll work with a cross-functional team including product managers, designers, and front-end engineers to deliver our cutting-edge photo logging product. What You'll Do: Build and scale our photo logging AI product, a core feature for ZOE's members. Work alongside data scientists, software engineers, and domain experts to collect requirements and establish project goals. Evaluate model performance, conduct A/B testing, and iteratively improve model accuracy and efficiency. Work with our platform team and collaborate on hosting, availability and scale challenges. Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow. Solve complex backend problems while collaborating closely with product managers and UX designers to provide a best-in-class customer experience. Write code across our micro-services and data pipelines. Ship in production, preferably daily or more! What makes you a great fit: 7+ years of experience in backend software engineering. 5 years of experience working on a deployed ML or AI product. A strong background in ML, Computer Science, Mathematics, or Statistics-either through a degree or equivalent experience. Experience working on a large scale backend system, dealing with scaling challenges, high availability, or supporting a large number of users. Passionate about LLMs, prompting techniques, and evaluation strategies. Experience in programming languages such as Python or Java. Understanding of cloud platforms (Google Cloud, AWS, Vertex AI, Sagemaker). Bonus points: Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with data analysis or data science. The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you're passionate about ZOE and the opportunity, but don't meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer upskilling opportunities where possible. Compensation Philosophy At ZOE, we are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary - we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company's growth and success. We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognize their individual contributions, and empower them to grow alongside ZOE. Benefits & Perks At ZOE we understand the significant role our benefits play in motivating, inspiring and safeguarding our employees' well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognizing the diverse needs arising from different life stages of our ZOEntists. Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we've got you covered. At ZOE, we continue to build a benefits package that invests in our team members' long-term personal and professional growth and wellbeing, adding to this list as it evolves. Equal opportunities We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Senior Marketing Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our marketing strategy in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Marketing, Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. This role is within our Marketing function within Growth. Join us and be part of shaping our future! What you'll be working on You will work together with other data scientists, analysts and analytics engineers as well as marketing managers on powering our marketing function within Growth. Our key goal is increasing volume and value. Applying your expertise in marketing analytics, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our marketing campaigns and how those insights can inform our marketing strategy Guide and enable the performance marketing and brand team to measure things that matter; initiate or help run geo-lift experiments to keep improving everything we do Build and apply our marketing measurement and forecasting solutions to optimise and drive growth. Drive together with the finance team a unified company-wide understanding of the lifetime value of our new users and how different marketing campaigns are impacting user profitability Liaise with engineers to keep making sure we collect the right marketing measurement data to produce relevant business insights You should apply if: What we're doing here at Monzo excites you! You're passionate about marketing science and understand the causal impact marketing campaigns can have You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well You're commercially minded and can put numbers into business perspective You're as comfortable getting hands-on as taking a step back and thinking strategically You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so You're a team player whom your colleagues can rely on You have solid grounding in SQL and preferably Python You have experience in conducting large scale geo-lift or A/B experiments The Interview Process: Our interview process involves three main stages: Initial Call Technical Interview Final Interview including a case study and collaboration interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on What's in it for you: £80,000 to £90,000 + Stock Options + Benefits ️ We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Have you discussed applying with your manager? Select Where would you like to be based? Select Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Please confirm your UK Right to Work status. Select We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Keeping your data safe is really important to us. Select

Job Description: We are seeking a highly skilled GCP Platform Architect to lead the design and implementation of cloud-based solutions that enhance our analytics capabilities across various business functions, including Supply Chain, Marketing, and Product Development. This role is transformation-funded and therefore has an expected end date of 31st December 2026 What are we looking for? A seasoned technical leader with 8+ years of experience in cloud architecture, specifically with Google Cloud Platform (GCP), and a proven track record of designing scalable and secure cloud solutions. Strong expertise in cloud-native technologies, including Kubernetes, BigQuery, Dataflow, and Pub/Sub, along with proficiency in programming languages such as Python, Java, or Go. Experience in implementing best practices for cloud security, cost management, and performance optimization, ensuring compliance with organizational standards. Demonstrated leadership skills in driving cloud adoption, and delivering impactful projects that align with business objectives with the right architecture and component infrastructure. What will be your key responsibilities? Lead the architectural design and implementation of GCP solutions, ensuring they meet performance, scalability, and security requirements. Collaborate with data engineers, data scientists, and business staCloukeholders to define cloud strategies and roadmaps that support analytics initiatives. Establish best practices for cloud architecture, including governance, security, and operational excellence, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their cloud skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our GCP capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled GCP Platform Architect to lead the design and implementation of cloud-based solutions that enhance our analytics capabilities across various business functions, including Supply Chain, Marketing, and Product Development. This role is transformation-funded and therefore has an expected end date of 31st December 2026 What are we looking for? A seasoned technical leader with 8+ years of experience in cloud architecture, specifically with Google Cloud Platform (GCP), and a proven track record of designing scalable and secure cloud solutions. Strong expertise in cloud-native technologies, including Kubernetes, BigQuery, Dataflow, and Pub/Sub, along with proficiency in programming languages such as Python, Java, or Go. Experience in implementing best practices for cloud security, cost management, and performance optimization, ensuring compliance with organizational standards. Demonstrated leadership skills in driving cloud adoption, and delivering impactful projects that align with business objectives with the right architecture and component infrastructure. What will be your key responsibilities? Lead the architectural design and implementation of GCP solutions, ensuring they meet performance, scalability, and security requirements. Collaborate with data engineers, data scientists, and business staCloukeholders to define cloud strategies and roadmaps that support analytics initiatives. Establish best practices for cloud architecture, including governance, security, and operational excellence, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their cloud skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our GCP capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled GCP Platform Architect to lead the design and implementation of cloud-based solutions that enhance our analytics capabilities across various business functions, including Supply Chain, Marketing, and Product Development. This role is transformation-funded and therefore has an expected end date of 31st December 2026 What are we looking for? A seasoned technical leader with 8+ years of experience in cloud architecture, specifically with Google Cloud Platform (GCP), and a proven track record of designing scalable and secure cloud solutions. Strong expertise in cloud-native technologies, including Kubernetes, BigQuery, Dataflow, and Pub/Sub, along with proficiency in programming languages such as Python, Java, or Go. Experience in implementing best practices for cloud security, cost management, and performance optimization, ensuring compliance with organizational standards. Demonstrated leadership skills in driving cloud adoption, and delivering impactful projects that align with business objectives with the right architecture and component infrastructure. What will be your key responsibilities? Lead the architectural design and implementation of GCP solutions, ensuring they meet performance, scalability, and security requirements. Collaborate with data engineers, data scientists, and business staCloukeholders to define cloud strategies and roadmaps that support analytics initiatives. Establish best practices for cloud architecture, including governance, security, and operational excellence, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their cloud skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our GCP capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled GCP Platform Architect to lead the design and implementation of cloud-based solutions that enhance our analytics capabilities across various business functions, including Supply Chain, Marketing, and Product Development. This role is transformation-funded and therefore has an expected end date of 31st December 2026 What are we looking for? A seasoned technical leader with 8+ years of experience in cloud architecture, specifically with Google Cloud Platform (GCP), and a proven track record of designing scalable and secure cloud solutions. Strong expertise in cloud-native technologies, including Kubernetes, BigQuery, Dataflow, and Pub/Sub, along with proficiency in programming languages such as Python, Java, or Go. Experience in implementing best practices for cloud security, cost management, and performance optimization, ensuring compliance with organizational standards. Demonstrated leadership skills in driving cloud adoption, and delivering impactful projects that align with business objectives with the right architecture and component infrastructure. What will be your key responsibilities? Lead the architectural design and implementation of GCP solutions, ensuring they meet performance, scalability, and security requirements. Collaborate with data engineers, data scientists, and business staCloukeholders to define cloud strategies and roadmaps that support analytics initiatives. Establish best practices for cloud architecture, including governance, security, and operational excellence, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their cloud skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our GCP capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.