4734 jobs found

Scrum Master Our client is a market leader in providing cashless catering, identity management and payment systems to the UK state education sector. Their education solutions are used in thousands of schools across the UK, helping them run efficient meal and nutritional programmes while reducing reliance on cash-based payments. The Role Working as part of the scrum team and reporting to the R&D Manager, this pivotal servant-leader role will ensure the delivery of high-quality software solutions that meet customer expectations and support continued business growth. You will champion agile processes within the development team and wider organisation, taking responsibility for running and improving agile ways of working. You will coach the development team to refine processes, promote accountability, transparency and continuous improvement. This is an established scrum environment with plenty of opportunity to grow, influence and shape the role. Although this position is remote, there will be a requirement to travel to the Birmingham or Edinburgh office when required. Key Responsibilities Challenge the status quo and drive a culture of continual improvement Mentor and coach engineering teams and stakeholders in agile practices Schedule and facilitate agile ceremonies Manage and resolve impediments to ensure sprint goals are met Work with Product Owners and the wider engineering team on backlog refinement and story estimation Manage release planning and ensure stakeholders are aligned and informed Produce sprint and team resourcing reports for senior management Ensure risks, issues, actions, change requests, decisions and dependencies are identified, communicated and managed effectively Work closely with technical functions including architecture, software development, testing, release management, database, network, platform and IT operations Apply an automation and AI-first mindset to streamline processes and save time Use and coach others on generative AI tools for backlog management, reporting and decision support Support the cultural shift towards effective AI usage within the department Skills and Experience Business domain knowledge in education or payment/financial services would be highly advantageous Knowledge of Agile, Lean and Design Thinking principles Experience analysing and documenting complex business processes Strong verbal and written communication skills Ability to build relationships across all levels of a business Proven experience working directly with end users and stakeholders Experience analysing and reporting on team data Personal Characteristics You will be collaborative, open, constructive and comfortable giving and receiving feedback. You will be proactive, team-focused and driven by continuous improvement. You will also bring strong emotional intelligence, good judgement and the ability to work effectively in group situations. Only candidates who are eligible to live and work in the UK need apply.

Warehouse Design & Automation Manager Department: Operations Employment Type: Full Time Location: Overland Park, Morley Description About the team: Our Supply Chain & Operations teams sit at the heart of our recommerce business, ensuring products move efficiently from customers into our warehouses and back out to new homes across Europe. As we continue to grow across multiple markets, we're investing in building a smarter, more scalable warehouse network. This includes improving warehouse design, introducing automation where it adds value, and creating consistent processes that can be replicated across sites. You'll work closely with teams across Supply Chain, Operations, and Technology to design and implement the next generation of our warehouse infrastructure. About the role: As Warehouse Design & Automation Manager, you'll play a key role in shaping how our warehouses operate today and how they scale for the future. Reporting to the Head of Supply Chain & Procurement, you'll lead the design, optimisation, and automation of warehouse layouts and material flows across our pan-European network. Your focus will be on improving throughput, space utilisation, and operational consistency through intelligent warehouse design and the implementation of the right technologies. You'll combine operational insight with technical expertise to ensure our warehouses are efficient, scalable, and ready to support continued growth. Key Responsibilities Key Goals & Objectives: Design and implement standardised warehouse layouts and operational processes across the warehouse network. Improve throughput, space utilisation, and productivity through better warehouse design and automation. Deliver successful automation projects such as conveyors, robotics, or ASRS technologies. Develop scalable warehouse design templates that can be replicated across multiple countries. Provide data-driven insights for warehouse capacity planning and investment decisions. Support operational teams through training and change management when new technologies or layouts are introduced. Key Responsibilities: Audit existing warehouses and redesign layouts to improve material flow, productivity, and capacity. Develop standard warehouse design frameworks and process templates for replication across multiple sites. Lead the specification, selection, and implementation of warehouse automation technologies. Work closely with Technology teams to integrate warehouse operations with WMS, WES, and other digital systems. Conduct capacity modelling, throughput simulations, and ROI analysis for warehouse improvement and automation projects. Support warehouse teams with training and operational change management when implementing new layouts or technologies. Collaborate with Supply Chain, Operations, and Technology teams to continuously improve warehouse performance. Contribute to planning and design for new warehouse sites and network expansion. Essential Skills & Experience: 5-8 years of experience in warehouse design, logistics engineering, or automation project delivery. Strong experience designing warehouse layouts and material flows. Experience implementing or supporting warehouse automation technologies. Proficiency with AutoCAD, Visio, or similar warehouse design tools. Familiarity with WMS systems and warehouse technology integration. Experience delivering multi-site warehouse or logistics projects. Strong analytical mindset with experience in capacity modelling, simulation, or operational analysis. Practical, hands-on approach with the ability to translate design into operational improvements. Proactive, detail-oriented, and collaborative communicator. Experience in e-commerce, fulfilment, logistics, or recommerce environments is a strong plus.

Senior AI Researcher BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments. The Role As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers. You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance. Key Responsibilities Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations. Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won't just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform. Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models. Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements. External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics." Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists. Essential Requirements: PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field. 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments. Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops. Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals). Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks. Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics. Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."

"The AI company that's revolutionizing Hollywood" Flawless is transforming Hollywood with assistive AI. Our tools empower filmmakers to edit, localize, and refine performances while preserving artistic intent. Designed to support, not replace, artists, our technology expands what is possible on screen and gives creators freedom to tell stories with greater impact and reach audiences in new ways. From enabling seamless multilingual releases to eliminating the need for costly reshoots, Flawless solves critical challenges that slow down productions and limit distribution. We are also setting the standard for ethical AI in entertainment. Our Artistic Rights Treasury (A.R.T.) is a rights management solution that protects artists and rights holders, ensuring that innovation moves forward with transparency and respect for creative ownership. What we are building: Research Services builds the infrastructure that enables scientists to train, evaluate, and deploy models at scale. Building the core of Hollywood AI transformation. The team sits at the cutting edge of data systems, machine learning, and high-performance compute-owning the full stack from data ingestion and curation through to distributed training and production inference. This role centers on building and optimizing systems for large-scale multimodal datasets (video, embeddings, metadata), making them fast, reliable, and ready for both research and production. Your Impact: Data Platform for ML Build and evolve a data platform (LanceDB, DataFusion, SQL + vector search) used to curate large multimodal datasets Design systems that index and process thousands of videos using ML pipelines (face detection, quality assessment, tracking, etc.) Optimize data access patterns for training (Arrow, Parquet, Iceberg) ML Training Infrastructure Improve training performance across single-node and multi-node setups Work with PyTorch and Ray to scale data loading and training pipelines Ensure preprocessing and postprocessing pipelines are efficient and reproducible Evaluation & Experimentation Systems Build systems to collect, store, and analyze model outputs (Parquet / Iceberg) Develop tools for dataset inspection and model comparison (including video-based workflows) Model Registry & Lifecycle Design and maintain infrastructure for model versioning, experimentation, and promotion to production Inference Systems Own and optimize inference pipelines using Triton Define request protocols and build model ensembles Improve performance and reliability of production inference You'll Thrive here if: You have a track record of building ML infrastructure or data platforms-not just training models Strong Python backend expertise (e.g. FastAPI or similar) A deep intuition for data pipelines and performance trade-offs (I/O vs compute, batching, memory layout) Solid hands on work with PyTorch (training pipelines, data loading, preprocessing) Practical experience with distributed systems (Ray, DDP, or similar) Proven ability to work with large scale datasets (TB scale or high throughput pipelines) Familiarity with columnar data formats (Arrow, Parquet, Iceberg, or similar) Nice to have: Exposure to video or media pipelines (FFmpeg, encoding, frame extraction) Familiarity with vector search or embedding systems Experience with Triton or production inference systems Frontend experience (React) for building internal tools Why work at Flawless? You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that's caring, creative and collaborative. In addition to this, you'll also receive: Autonomy A hybrid working environment Competitive Salary All permanent employees receive generous stock options I don't meet all the listed requirements-should I still apply? Absolutely! Research shows that women and underrepresented groups often hesitate to apply unless they meet every qualification, but at Flawless, we actively work to break down those barriers. We believe diverse perspectives, experiences, and backgrounds make us stronger, and we are committed to supporting and elevating underrepresented talent. If you're excited about the role, share our values, and believe you can contribute meaningfully, we encourage you to apply-even if you don't meet every single requirement. Your unique skills and perspective matter, and we'd love to hear from you ️

Job Description Job Role: Data Science Associate Manager Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level: Manager - ML8 We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Data Science Associate Manager, you will: Shape Customer and Marketing Experiences w/ Generative AI solutions Be at the forefront of the industry - creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always on enterprises. Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients. Support the development of data platforms, data products, and capabilities that empower analytics and AI teams. Assist senior leaders in shaping elements of the strategic direction for practice's data science and data engineering ecosystem. Help assess generative AI proposals by reviewing feasibility, data requirements, model considerations, and integration with existing technology stacks. Collaborate with digital teams, architects, and stakeholders to support & lead the design of enterprise AI and data science solutions. Deliver Real World Business Impact Drive and support real world solutions into production that drive measurable business value for our clients. Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career Become an integral part of our team with the credibility, expertise, and insight clients depend on. Develop your skills with our world class training programmes. Drive your career progression through our structured career development programs. Work with industry partners to expand your exposure to modern data science tools and enterprise AI technologies. Collaborate with Global Brands Work with leading global brands and household names on impactful data science and AI use cases. Support the creation of reusable data science assets, feature stores, model templates, and best practice frameworks. Consult on complex analyses and advanced machine learning methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM based and data science driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification In this role you will: Define and Deliver Customer Centric Data Strategies Translate business needs into data science and analytics requirements, supporting the development of scalable data pipelines and model ready datasets. Work with senior architects and data science leaders to help define AI and data strategies aligned with client objectives. Contribute to the development and delivery of LLM based and ML based solutions that improve customer and marketing outcomes. Lead Generative AI Innovation and Prototyping Support early stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks. Act as a knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders. Deploy and Scale AI Solutions Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes. Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments. Work with engineers to support the deployment of machine learning algorithms that deliver tangible business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment. Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing. Drive the creation of reusable data science assets, frameworks, and best practices. Assist in applying advanced machine learning techniques to solve complex business challenges. Lead Across Industries and Teams Support the delivery of AI driven customer and marketing transformations across industries. Help communicate insights and contribute to strategic discussions with clients and internal teams. Share data science knowledge and collaborating on best practices practice. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

Introduction We're WorldFirst, an international payments business helping move money around the world. We became part of Ant Group in 2019, accelerating our mission to create the world's best platform for international trade by combining WorldFirst's products with Ant's solutions aimed at enabling the digitalization of the modern services industry globally. We have a shared purpose 'to make it easy to do business anywhere.' Together, we are advancing our shared aim of bringing innovative, inclusive and affordable services to small and medium-sized businesses and online merchants in the rapidly growing area of cross border trade. Role Overview We are building the world's most developer friendly Global Card Issuing Platform. We are looking for a Senior Product Manager to own the enterprise grade infrastructure that allows clients to launch card programs anywhere in the world through a single integration. You will be responsible for a unified Global API and SDK suite that abstracts the complexity of regional payment networks. Whether a client is launching in Europe, North America, or APAC, your product will provide a consistent, white label experience. You will drive both the technical "how" (API/SDK design) and the strategic "where" (global expansion and regional issuing setups). What you'll do: Unified Global API Strategy: Design and maintain a single, polymorphic API architecture that supports card issuance across multiple jurisdictions, ensuring developers don't have to rewrite code for each new market. Global-First SDKs: Lead the development of White label SDKs (iOS, Android, Web) that provide high performance, customizable UI components for card management, activation, and security (3DS/SCA) globally. Market Expansion & Network Integration: Lead the "boots on the ground" product discovery for new regions. Identify, negotiate, and integrate with local Sponsor Banks, Processors, and Card Schemes (Visa/Mastercard/Local Schemes) to expand our footprint. BaaS & White-label Orchestration: Manage the multi tenant architecture that allows enterprise clients to deploy fully branded financial products while ensuring data residency and regional compliance (e.g., GDPR, CCPA). Technical Product Specification: Create deep technical documentation for global edge cases, such as cross border transaction routing, multi currency ledgering, and localized authorization hooks. Enterprise Solutioning: Work with global tier 1 enterprises to understand their cross border needs, translating them into scalable features on the global roadmap. What we're looking for: Experience: 5+ years in Technical Product Management with a heavy focus on Fintech, Payments, or BaaS. Global Infrastructure Mindset: Proven experience building products that operate across multiple regions. You understand how to build a core platform that handles 80% of global needs, with 20% regional modularity. API & SDK Expertise: Expert-level knowledge of RESTful API design and developer experience (DX). Experience shipping SDKs that simplify complex frontend flows (e.g., card provisioning to Apple/Google Pay). Deep Payment Knowledge: Understanding of the global "four-party model," ISO 8583/20022 messaging, and the nuances of regional authorization and settlement. Strategic Execution: Ability to navigate the complexity of local regulations while maintaining a fast-paced, global product roadmap. Communication: Exceptional English communication skills, capable of influencing both London-based stakeholders and global engineering teams.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title: Lead Data Engineer Company Description: LightWork AI - VC-backed AI startup building the property management operating system Job Description: As the first senior data hire at LightWork AI, you will architect the data backbone for Felicity, an AI assistant automating 80-90% of property management workflows. You will design scalable pipelines, vector databases, and ML infrastructure, moving the company toward revenue in 2026 within a £33B market undergoing massive structural automation. Location: London, UK Why this role is remarkable: Rare opportunity to join as the foundational data lead, owning the entire architecture and strategy for a high-growth AI startup with 14,000 units already in pilot. Work directly under the Head of Engineering, Spyridon Katsoulis, who previously scaled a 140-person data department and led a $35M Series B. High-impact environment where your work directly enables an AI product that automates 75% of administrative tasks in a massive, underserved industry. What you will do: Architect and build scalable real-time and batch data pipelines to support core AI products and operational workloads. Design and optimize systems for vector search, retrieval-augmented generation (RAG), and machine learning data workflows. Establish engineering standards for data reliability, observability, and governance while mentoring the future data team as the company scales. The ideal candidate: 7+ years of experience in data or backend engineering with a proven track record of building distributed data systems from scratch. Deep technical proficiency in Python and hands-on experience with PostgreSQL, NoSQL, and vector databases like Qdrant or Milvus. Strong architectural thinker who thrives in fast-moving startup environments and has experience with modern frameworks like Airflow, Kafka, or Spark. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? The Role Bringing AI decisions alive for our users is the role of our Product Designers. You'll be working predominantly on researching, designing and helping to craft new and exciting experiences for our suite of AI products. You'll join a strong cross-functional team of experienced product managers, product designers and technical specialists including machine learning (ML) engineers, data engineers and software engineers. In this role, you'll have the opportunity to shape some of our most important products and directly impact how our customers operate their businesses using AI. The Team As a Product Designer, you'll join the Product organisation within Peak. This is a multidisciplinary product team full of smart, diverse and inquisitive people on a mission to create a ground-breaking product. You will join the Product team and will need to collaborate right across Peak, from data science to customer success to sales to advocate for the user Key Responsibilities: Deliver excellent design - You will need to become an expert in our customer's problems. You'll lead/participate in research to understand our customers' needs. You'll use your expertise in both UX and UI to partner with the rest of your team and deliver quality, polished outcomes for our customers. Collaborate broadly - As a SaaS business in the fast-moving AI space, we need to stay flexible to our customer needs. This means you'll need to work closely with customers, product managers, engineers, commercial teams and other stakeholders to define design strategies that align with business objectives, user needs and technological considerations. You'll lend your expertise to our delivery teams when their needs align with broader product requirements. Develop customer empathy - You will need to become an expert in our customer's problems. You'll lead/participate in research to understand our customers' needs. You'll use your expertise to partner with the rest of your team to discover and define customer problems, prioritising key issues as you go. Always testing and validating design concepts with users. Own design standards - We have developed design systems and associated components to improve the quality and consistency across products. As a member of the team, you'll need to actively support the maintenance and development of these systems alongside your fellow Product Designers. Know your craft - You'll be joining a dynamic team of experts and you'll need to be a strong voice for best practices around your craft, from tools and user research, to accessibility and systems thinking, and you'll need to continually keep on the cutting edge of the product design universe. Skills & Experience We are building a world-class product team in the UK and India and are looking for a first-principles thinker with excellent design skills, and the ambition to work on a cutting-edge product. You'll need: Strong experience of delivering both UI and UX for B2B software products. Understanding and application of design thinking principles The ability to empathise with user feedback and turn those into design solutions. Practical experience with UX research tools and processes Top class practical product design skills and experience with common design tools. We use Figma. Passionate about good design, with great attention to detail, quality and accuracy. Strong communication skills. Able to engage, empathise and collaborate with others. Great storyteller: you'll need to rationalise your design decisions and our wider product decisions by taking your stakeholders on the journey with you. Proactive and self-motivated mindset. Excellent time management skills. A naturally inquisitive and problem-solving mindset Advantageous Skills and Experience Experience in a B2B start-up or scale-up environment, take new products from concept to market Worked in an agile product development environment previously. A design qualification (degree, qualification or online course). Any familiarity with the technology we use (AI, Gen AI, data analytics cloud tech) or the industries we serve (retail, CPG, manufacturing) is advantageous, but not essential. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.

Clean Water Network Modellers/ Engineers page is loaded Clean Water Network Modellers/ Engineerslocations: GB.Bristol.The Hub: GB.Birmingham - Chamberlain Squaretime type: Full timeposted on: Posted Todayjob requisition id: R-151366 Job Description OverviewYou might know us for the great work we do across our wide variety of projects. We're proud to say it's thanks to our people's diversity of thought, expertise, and knowledge. And when you join us, you'll be a part of this genuinely collaborative environment, where everyone's voice is valued and treated equally.We're passionate about what we do, and we have a thriving team culture, simply put, this a great place to be. So, when it comes to your life outside of work, ask us about our flexible and remote working policies designed to help you get the most out of life.Our collaborative and multi disciplinary team is one of the largest in the UK, providing water and wastewater infrastructure services alongside drainage design, SuDS and surface water management. Our wide variety of clients span across the UK and internationally and include water companies, local authorities, highways / rail authorities, and developers.It's'an exciting time to be working for our UK Water business with unprecedented investment in the water industry. Due to continued growth in the workload of our successful Water business, we seek to recruit Clean Water Modeller/Engineers across our UK offices to support of our service delivery to support our client requirements. Our teams work flexibly, and all of the UK offices listed under this vacancy are possible home offices for these opportunities. You will join a team of engineers, modellers, geographers, GIS specialists and technicians and play a key role in delivering to a range of Clients including Water Companies, Local Authorities, developers with the potential to get involved with international projects.We aren't just engineers, environmental professionals, or consultants. We're pioneers, constantly innovating and pushing boundaries to tackle some of the world's most pressing challenges - especially when it comes to water. From enhancing our beautiful rivers and urban landscapes to building sustainable cities in the harshest environments - our Networks & Drainage Solutions (N&DS) team is at the forefront.Over the next 10 years, we plan to expand the practice rapidly to meet our clients' objectives. We're developing enhanced training courses to accelerate our staff resource capability. It means great futures for both new and experienced colleagues.The opportunities in our practice to grow as an individual are immense. You'll receive mentorship from the outstanding leaders we have within the team.From day one your personal development plan puts you in the driving seat of your career and you'll be supported to go as far as you want to go. Your role Development of computer models to investigate water network issues and investment needs and generation of outline solutions. Analysis of data. Supporting the development of engineering solutions and advising to our clients to help them make better asset investment decisions. Support development of reports and other project deliverables. Prepare (and adhere to) health and safety risk assessments. Support in the development of tender responses and fee estimates at higher grades. Supervising and developing staff and providing guidance to support their professional development at higher grades. Contributing towards technical innovation. About you This role will involve working on feasibility studies, using computer analysis typically to support water network improvement projects, liaison with clients, contractors, stakeholders and other professional bodies. Outputs will typically be in short reports to outline the approach taken and findings from the investigation. Desirable requirements include: Understanding of UK Water Industry and regulatory issues. Experience in Clean water modelling and distribution networks. Building and calibrating network models. Using network models for planning, operational and design purposes. Management of Detailed Zonal Studies delivery, Pressure Management and DMA Design. Experience with Synergi, InfoWorks WS, EPANET, InfoWater and other modelling software. For the more senior roles, varying levels of experience in model usage, hydraulic analysis, solution development and technical leadership are required to match the specific position as well as. Expertise using Synergi, InfoWorks WS, EPANET. Proven track record in coordinating and delivering technically excellent projects. Ability to check the work of others to provide quality assurance and drive continuous improvement in work delivered to the client. Implementation of industry leading solutions and development of innovative solutions. Management and technical supervision of a team of clean water modellers. Supervision of report writing and check and review of outputs. Desirable Qualifications BSc/BEng/MEng degree level: Geography, GIS, Science, Engineering related subject or equivalent considered with appropriate professional qualifications at the senior levels. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. About AtkinsRéalisWe're , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. Worker Type Employee Job Type Regular At AtkinsRéalis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in Snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.

Who We Are Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches. Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla's customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers. Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together. What You'll Do As a Senior Analytics Engineer in the Data Analytics team, you'll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products. Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business. Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same. Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements. Deliver, and enable others to build, well defined, transformed, tested, documented, and code reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self serve, analyse, and build products and services upon it, getting reliable, consistent results. Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams. Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration). We're looking for someone who: Has experience setting up & developing dbt architecture using CI/CD practices (essential) Is highly proficient with SQL and data modelling best practices for optimising performance (essential) Has previously worked with visualisation tools such as Tableau or PowerBI (essential) Is confident collaborating and communicating with non technical stakeholders (essential) Has experience integrating dbt with other tools in the modern data stack (essential) Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential) Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable) Where You'll Be At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You'll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all Zoopla days in the office together plus a third in office day of your choosing. Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you'll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 25 days annual leave + extra days for years of service Day off for volunteering & Digital detox day Festive Closure - business closed for period between Christmas and New Year Cycle to work and electric car schemes Free Calm App membership Enhanced Parental leave Fertility Treatment Financial Support Group Income Protection and private medical insurance Gym on site in London 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary

A cutting-edge AI startup in London is seeking a Lead Data Engineer to be the first senior data hire. You will architect scalable pipelines and ML infrastructure, driving automation in the property management sector. This role offers strong growth potential, working under experienced leadership and impacting a massive industry with your technical expertise. Ideal candidates will have substantial experience in data engineering, particularly with Python and distributed systems.