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Overview Location: London Other locations: Primary Location Only Date: 7 Oct 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager - Data Engineering - Databricks Architect London/ Edinburgh The opportunity The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Senior Manager to lead on developing our Data Engineering Capability with an initial focus on Databricks. This is a senior architecture role and will require an individual with an exceptional track record of delivering data transformation programs in the Financial Services sector. The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together: Data Architecture & Engineering - Focusing on next generation data solution architecture design and implementation Data Management & Strategy - Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also help them design and implement modern data visualisation and reporting solutions Your key responsibilities Lead the design and implementation of scalable data architecture solutions using Databricks on Azure. Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance. Demonstrate prior experience in standing up and operationalizing Databricks platforms, including workspace setup, cluster configuration, and CI/CD integration. Lead and execute large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity. Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake, Apache Spark, and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance, lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning, cost optimization, and security hardening of Databricks on Azure. To qualify for the role, you must have A track record of delivering large Databricks data transformations & appropriate Databricks industry certifications A deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs Experience of building high performing teams and exceptional leadership and interpersonal skills Deep understanding of the emerging technology trends including adoption of cloud-based technologies and advance data technologies with a clear perspective on where the market is going. Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects and manage quality and risk Ability to engage with senior stakeholders and manage large cross functional projects Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered Exceptional storytelling, communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients. Previous consulting experience will be greatly valued A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path. What we look for We are looking for highly motivated individuals who are passionate about AI, Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our AI & Data team is looking forward to hearing from you. What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance Please note: Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters! EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

The Automated Trading Strategies (ATS) group is responsible for systematic trading across FX, Rates, Commodities, and Credit markets. The team is responsible for a broad scope including the design and implementing of cutting edge proprietary quantitative models that drive our automated trading systems (pricing, risk management and execution), the oversight of day-to-day risk and operations, and the optimization Franchise client liquidity offering in a data-driven manner. Job Summary As an Associate AI\ML Researcher within Automated Trading Strategies team, you will accelerate our efforts on applying latest AI\ML methods on systematic trading strategy R&D. As part of a small focused team with minimal bureaucracy, you will have great independence to pursue the research directions you think would be most impactful. You are enabled with enough computational resources, and supported by excellent data and engineering teams to realize your vision. Your work will be deployed directly into production trading with P&L responsibility. The field is complex and often requires creative problem-solving, but it's also a great chance to learn and grow professionally. You will be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made. You will be part of a fast-growing effort and have the opportunity to have a holistic view of market making & exchange trading, including alpha generation, portfolio construction/optimization and trade execution algorithms. This position does not require prior finance knowledge or experience. Candidates with experience in technology, AI or research institutions are strongly encouraged to apply. Job Responsibilities Apply AI\ML model to find predictive pattern from large dataset Integrate prediction model into existing strategies or setup new one Contribute to team's AI\ML libraries as well as production algo system Required qualifications, capabilities, and skills Experience in machine learning and deep learning research for any domain Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent Strong engineering skills valued, efficiency in other languages (Java/C++/C#) beyond Python Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.

About the team Q-CTRL's Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modelling, and modern Bayesian estimation and signal processing techniques. The Quantum Sensing Research and Quantum Sensing Engineering teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focussed on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact. About the role This role aims to perform essential research and development into next generation quantum sensors. The role will be working on control solutions, control system development, and classical and quantum sensor fusion algorithms to enhance the performance of real-world quantum sensors using atom interferometry. This will involve developing novel simulation tools and partnering with experimental physicists to perform data analysis for assessing sensor performance in real-world environments and demonstrating your new methods function. Additionally, you will contribute to the efficient and effective functioning of Q-CTRL. This will sometimes include helping out regardless of boundaries of responsibility to help us achieve our mission of making quantum technology useful. What you'll be doing: Perform essential research and development into novel quantum control solutions and sensor fusion algorithms to enhance the performance of real-world quantum sensors (including atom interferometers and magnetometers). Develop theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real-world environments. Analyse sensor performance in realistic environments and apply optimization and machine learning techniques for performance enhancement. Work closely with our quantum control engineers, experimental physicists, and sensor hardware specialists to deploy your developed quantum control and sensor fusion protocols on real quantum sensor hardware. Collaborate with your colleagues in the Quantum Sensing (Modelling) Team, the Quantum Sensing Division, and the company more broadly. Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts). Other duties within the Employee's skills and experience, or with reasonable training. Ideally you'll have: A PhD in Physics, Engineering or a closely related discipline. Experience in the theory, numerical modelling, and/or optimization of one or more of the following: Atom interferometry, Cold and/or ultracold atomic systems, Quantum sensing in warm atomic vapours, Pulse-level optimisation and quantum control techniques. Strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry. Bonus points if you have (but not essential): Expertise with Python programming language for scientific computing. Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams. Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms. About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you!

About The Role Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in Berlin, London and New York City. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services and insurance industry. We are looking to build on this success by growing our sales team, professionalizing our go-to-market, and acquiring more customers. That's where you come in. As a Senior Solutions Engineer, you are core to our mission of transforming our customer's decisioning infrastructure - helping them optimize and automate complex, critical business decisions using state-of-the-art technology, including the latest advances in AI You will work in partnership with Taktile's Sales Team and are making sure our customers get value from Taktile throughout their entire lifecycle. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about cutting-edge technology, stay up to date on the latest AI developments, and have a few years of hands on experience with Python, APIs, and modern AI models in customer-facing environments - all while thriving in a an awesome team that empowers you to grow, then we think you'll love this job! About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You have intermediate-level Python skills and are comfortable writing, testing, and debugging code in customer-facing or production adjacent environments. You are curious and customer centric. You enjoy learning about our customers' and prospects' businesses and helping them solve challenges. You are able to plan and manage project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers and prospects. You have excellent written and spoken English. What You'll Do You discover and translate customer's strategic priorities and problem statements into high impact use cases leveraging Taktile during the sales process and throughout the entire customer value journey including adoption, expansion and renewal. You lead the design and execution of proof of value projects that combine customer data, ML/AI models, and Taktile's platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production grade integrations and workflows. You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You lead proof of value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C level executives. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code, and committed to providing an excellent experience and fast time to value to Taktile's customers. You work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You create re usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. You lead the discovery for new use cases and implement them on the platform to assess product solution fit. You provide feedback to our product team and share results of your discovery with go to market functions. Ideal, But Not Required Live for Customer Value: You have at least 3-5 years of experience working within Enterprise/"high touch" Solution Engineering, as a technical Customer Success Manager/Engineer in a B2B SaaS company or as (Technical) Senior Consultant. Technical expertise: You have a general understanding of REST APIs (design, integration, authentication) You have experience building, tuning, or deploying ML models (e.g., scikit learn, XGBoost, PyTorch, TensorFlow) in production settings Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus. You are comfortable explaining how a model works to both a technical stakeholder such as a CTO and domain experts such as Credit Risk Managers You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). Our Offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top of market equity and cash compensation package Get access to a self development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile helps financial institutions make smarter, safer decisions with the power of AI. Our software gives teams the tools to automate complex decisions - like who to onboard, how to underwrite, or when to flag suspicious activity - with full visibility and control. By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision making in real time as markets, customer behavior, and risks evolve. Our mission is to build the world's leading platform for automated decision making in financial services - setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast growing startups and enterprise leaders. Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger Global, along with the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath - we're building a world class organization across all functions and levels to power the next generation of AI driven decision making in financial services.

City London Country United Kingdom of Great Britain and Northern Ireland Division Department Payments Description Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore and Sydney. We have raised more than $500m in funding and are now valued at $2.7bn. Our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture enabling our team to produce the best work in the industry, ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the most generous employee share package in the industry. Global Finance Magazine named us one of the world's most innovative fintechs, and the Financial Times recognised us as one of Europe's fastest-growing companies in 2023. The Vault Expansion team at Thought Machine is responsible for shaping and delivering the product strategy to enable Thought Machine to better serve banks currently facing challenges with older, "bank-in-a-box" platforms. As the Product Manager in the Vault Expansion team, you will be responsible for building a portfolio of products that complete the Vault Platform, offering clients seamless experiences, and value adding functionality beyond Vault Core and Vault Payments. You'll own the roadmap and delivery of products and applications in the Vault Expansion portfolio, and work closely with Go-to-Market and Engineering leadership to drive revenue and product delivery. You will work cross-functionally with partnerships, compliance, legal, and partner product teams to build key use cases to delight our clients. This role is suited to someone who can wear many hats. You will primarily be responsible for defining, building, and delivering products working in lockstep with the Vault Expansion engineering team, however you will also be expected to support our GTM and marketing teams to build lead generation campaigns, join client calls and help pitch and sell future products, work with sales engineers to define compelling demos, and managing key product partnerships to augment the product offering. Duties Own the roadmap: work alongside an engineering team to define a product strategy and roadmap that achieves the highest level of product quality and supports our clients' ambitions. Drive growth and adoption: Partner with GTM teams to bring our products to market and ensure we see adoption and growth. Be the voice of the customer: you will represent the customer internally - collecting and capturing feedback, pursuing the highest levels of quality and enabling engineering teams to be laser focused on solving customer problems. Champion insight: relentlessly seek out customer problems, develop deep understanding of our customers' needs, plans and technology and industry trends in the market to ensure the Vault Platform continues to help clients innovate. Be a Product Evangelist : champion the Vault Platform and Expansion products externally and within Thought Machine, clearly communicate the scale of the ambition within our product vision and the new functionality that will excite and delight our clients. Develop best practices: help drive Product Management best practices and processes - working with Engineering Managers and teams to ensure adoption and alignment across Vault Payments. Innovate: Discover net-new opportunities for our business and lead them from nascent stages to maturity. Requirements 5+ years of product management experience in a product-led technology company. A proven track record of building and launching new products into market. Able to think from first principles, debate ideas and rapidly learn new concepts. Strong client-facing interpersonal skills and equally strong ability to engage in technical conversations. Comfortable working with API-driven products or infrastructure. A keen eye for UI/UX design, and working with wireframing tools like Figma. Previous experience working in regulated industries such as banking or financial services. Previous experience as a software engineer or similar technical roles. Previous experience building enterprise software products. Previous experience building brand new products or working in a startup environment. Highly competitive salary Pension plan (match up to 5%) Life insurance - three times annual salary Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid) Shared parental leave (matched to our maternity leave for the same point in time) 25 days holiday and bank holidays Electric car scheme Season ticket loan Access to outstanding learning materials and courses Sports and hobby clubs, subsidised by Thought Machine All the latest tech you need Start the day properly with fresh fruit and cereals Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks A talented and experienced team as your colleagues An environment where we encourage learning and progress Two charity days a year Weekly food pop-up Highly competitive salary Pension plan (match up to 5%) Life insurance - three times annual salary Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid) Shared parental leave (matched to our maternity leave for the same point in time) 25 days holiday and bank holidays Flexible working hours Cycle-to-work scheme Electric car scheme Season ticket loan Access to outstanding learning materials and courses Sports and hobby clubs, subsidised by Thought Machine All the latest tech you need Start the day properly with fresh fruit and cereals Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks A talented and experienced team as your colleagues An environment where we encourage learning and progress Two charity days a year Weekly food pop-up Thought Machine is committed to making a measurable positive impact on people's everyday lives. We are an equal-opportunity employer and value diversity at our company. We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.

A global lifestyle brand is seeking a Data Science Manager to enhance CRM personalisation through advanced machine learning techniques. This role requires strong skills in recommendation systems and deep learning, along with proficiency in Python and cloud platforms. You will lead the development of predictive models and work with various teams to improve customer engagement. The position is hybrid, requiring 2-3 days per week in the Central London office.

Improve the safety, efficiency, and sustainability of the operations that power the global economy. Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: We are looking for an exceptional Senior Product Manager to take a key role within one of our largest and fastest-growing businesses: Video-based Safety. Safety is not just a feature; it is the core platform differentiator and a critical reason why customers choose Samsara. This role is at the cutting edge of Applied AI and Computer Vision, operating at an incredible scale. Your team will be the driving force behind the next generation of our AI-powered features, which leverage trillions of data points from our fleet to proactively identify driving risks, prevent accidents, and save lives. This is a chance to move beyond incremental optimization and ship a product that defines the future of AI in industrial safety. You will own the vision, roadmap, and execution for a major new initiative within the Safety organization. If you are a technical PM motivated by massive ML/CV engineering challenges that have clear, positive societal outcomes, this is your opportunity. To better understand the scale and mission of this team, we encourage you to review the Samsara Cameras product overview here , and watch our SVP of Safety, Johan Land, discuss our AI-powered safety platform here . You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact-helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. In this role, you will: Define and own the end-to-end product strategy for a major new area within Video-based Safety, acting as the entrepreneurial CEO of your product line. Lead the development cycle of real-time AI/ML models, from ideation and data strategy to model deployment and iteration on connected devices at massive scale. Identify, design, and take to market innovative solutions that drive measurable safety outcomes, working across Design, Engineering, and Go-to-Market teams. Develop a bold, long-term vision for your product area, while consistently maintaining the ability to dive into execution details and unblock complex technical challenges. Champion, role model, and embed Samsara's cultural principles as we scale globally. Minimum requirements for the role: 7+ years of progressive product management experience with a visible history of successfully launching and scaling technically complex products. Prior experience shipping features that rely heavily on Machine Learning, Computer Vision (CV), or large-scale IoT data processing. Strong technical acumen that enables you to establish immediate credibility with engineers; comfortable engaging in technical trade-off discussions regarding model architecture, training, and deployment. A bias-to-action and hands on experience delivering tangible business outcomes in a fast paced, high growth environment. Excellent communication skills, comfortable and effective presenting strategy and results to customers and senior executive leadership. Undergraduate or graduate degree (MS, PhD, or MBA) in Computer Science, Engineering, or a related technical field. An ideal candidate also has: Experience defining the product roadmap for hardware/software integrated systems or SaaS products that manage physical assets. A deep understanding of data quality, labeling pipelines, and MLOps best practices in a production environment. Proven ability to define key performance indicators (KPIs) for ML-driven products and use data science to measure model efficacy and business impact. At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in or ' greenhouse mail.io'. For more information regarding fraudulent employment offers, please visit our blog post here . Samsara's Mission Improve the safety, efficiency, and sustainability of the operations that power the global economy.

The MarTech Strategy Manager role is the strategic backbone of our marketing data ecosystem - a unique hybrid of Strategist, Analyst, Architect, and Builder. You will be the driving force behind the marketing technology stack, bridging vision with technology to enable data-driven decision-making, streamline operations, and deliver superior customer experiences. This role is ideal for a proactive leader who not only masters the technical foundations of modern MarTech but also thrives on navigating complex infrastructures and the cookieless landscape with creativity and confidence. Your expertise and a close collaboration with IT and other key functions will be crucial in ensuring the strategic application, robust architecture, and meticulous governance of MarTech and Consumer Data to significantly drive marketing efficiency and measurable business outcomes. Martech Leadership Act as a strategic liaison between Marketing, IT, Data Engineering, UX, and Commercial teams to align business objectives with technology evolution. Design, own, architect, optimize, and evolve the marketing technology stack with a focus on scalability, segmentation, acquisition, personalization, attribution, and customer lifetime value use cases. Oversee system integrations, API design, platform configurations, lifecycle maintenance, integrated dashboards, AI experimentation in strict adherence with governance standards. Lead technology evaluation and vendor selection aligning with key stakeholders and identifying opportunities for innovation and capability expansion. Develop robust data and analytics frameworks, informative dashboards, and comprehensive KPI measurement plans to track the performance of the MarTech stack and marketing programs. Define and oversee the data and personalization strategy within the CDP, enabling data enrichment via 2nd party data, Business Intelligence, MMM and MTA, CLV modeling, consumer profiling, advanced and predictive analytics, and automated media activation. Troubleshoot technical and process issues, translating complex requirements into clear actions and communicating trade-offs across teams. Strategy, Thought Leadership & Innovation Research market trends, emerging technologies, and AI advancements to recommend high-impact opportunities and future-proof the MarTech ecosystem. Develop playbooks, documentation, and internal training to elevate MarTech literacy across teams and global markets. Help define business processes and guide teams in leveraging platforms to drive operational efficiency and marketing effectiveness. Job Profile Master Degree in computer science, business informatics, information systems, digital marketing, data analytics or closely related fields; +7 years of experience across Data Strategy, Data Engineering and Data Architecture and also Marketing data specifically across DSP, CRM, DMP, and CDP. Proven expertise with Databricks, GCP, dbt, Snowflake, Salesforce, Azure, or similar Strong analytical skills, segmentation, data visualization (Looker). Strong understanding of marketing ecosystems - media, adtech, social, website, search, identity solutions, tag management, Apps. Expertise with APIs, machine learning, LLMs and Agentic AI Excellent client facing skills, with the ability to translate complex technical details into business value Strategic, self-motivated and comfortable operating in an emerging practice area Knowledge of privacy and compliance frameworks in a cookieless MarTech setup Preferable work experience within an agency, martech/adtech company or consultancy Strong oral and written communication skills (English a must, Italian a plus); We are an Equal Opportunity Employer, we reject and condemn any form of discrimination including discrimination based on age, gender, sexual orientation, health, race, nationality, cultural background, political opinions and religious beliefs, and membership of associations and trade unions.

This isn't your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We're aiming to become Germany's second bootstrapped unicorn. Almedia is already Europe's fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 60 million users for engaging with our advertisers' products. We are offering a new way to acquire users for the biggest companies in the world. At Almedia, you'll: Own way more, way earlier - you'll be trusted with responsibility fast. Push harder, get further - this isn't a 9-5. We highly reward intensity. Join a rare environment - you will work with ambitious high-speed, high-ownership people. Fully present - we're 5 days a week in the office to build the energising momentum we need. Senior Engineer - Machine Learning & Pricing You'll help design, build, and optimise the systems that power Almedia's pricing logic, machine learning models, and data-driven growth experiments. Your work will support turning complex behavioural and market data into real-time, intelligent pricing systems that improve user engagement and drive revenue. Types of Problems You'll Be Solving Build and scale dynamic pricing algorithms that respond to real-time user behaviour and market signals Assist in designing and deploying ML models that predict user value, engagement, and conversion probability Contribute to experimentation frameworks for testing and optimising pricing strategies Support the creation of data and ML pipelines integrated with backend services Help improve model reliability, monitoring, and performance across production environments Your Role Take ownership of tasks within the design, development, and deployment of ML and pricing systems Collaborate with data scientists, backend engineers, and product teams to integrate models Assist in setting up frameworks for model versioning, evaluation, and retraining Contribute to refining architecture and processes for scalability, accuracy, and maintainability Learn from senior engineers and participate in discussions about technical direction You Have Experience building or supporting ML-driven systems in production Strong knowledge of Python, data processing, and system design Exposure to experimentation, dynamic pricing, or predictive modelling Solid understanding of SQL and cloud environments (AWS or GCP) Ability to collaborate across engineering, product, and data science teams Willingness to take ownership of your work and grow into larger responsibilities Bonus Points For Hands on experience with ML model training, deployment, and monitoring pipelines Exposure to pricing, auction, or optimisation systems Background in adtech, gaming, or performance marketing environments Passion for data driven decision making and automation Why Almedia? Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one. High Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar. Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector. You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit. What you'll do: Technical Leadership and Delivery Provide hands-on technical guidance for complex, high-priority projects (40% of your time). Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit. Advise on solution architecture, advanced modelling and engineering best practices. Identify and implement new tools and processes to enhance delivery quality. Team Leadership and Strategy Define and champion the technical vision for our professional and financial services clients. Lead recruiting, team structure, and professional development for technical staff. Collaborate with the Business Unit Director on commercial strategy and project resourcing. Business Development Act as a technical authority in client meetings to secure and expand market opportunities. Create and share technical thought leadership through conferences, articles, and other media. Identify new market opportunities and technologies. Who we're looking for An experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery. Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services. Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals. Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes. Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders. A proven interest in and ability to mentor and develop team members. A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

At RemoteStar, we're currently hiring for one of our client based in Spain. Fixed-term contract ending in June 2026 Hybrid (3 days/week onsite) About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Required Qualification Bachelor's or master's degree in computer science, Engineering, or a related field. Mid or Senior:4+ years of experience as an ML/LLM engineer in public cloud platforms. Proven experience in MLOps, LLMOps, or related roles, with hands on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring. Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering. Expertise in model parallelism in model training and serving, and data parallelism/hyperparameter tuning. Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM. Expertise in with generative AI applications and domains, including content creation, data augmentation, and style transfer. Strong understanding of Generative AI architectures and methods, such as chunking, vectorization, context based retrieval and search, and working with Large Language Models like OpenAI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc. Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre. Experience with Perfect English, Spanish is a plus. Great communication skills and a passion for working collaboratively in an international environment. Preferred Qualifications Experience in training "Mixture-of-Experts

About the role AI Delivery Leads are expected to work in small teams of Tomoro and client engineers to design, build, and deploy AI applications. Our delivery teams solve complex and technical design challenges, ensuring smooth transitions from development to deployment, and act as a vital link between technical and non-technical stakeholders. The role involves leading project delivery, mentoring colleagues, and staying updated with AI advancements. Delivery leads are critical in ensuring our AI solutions are reliable, ethically compliant, and rigorously tested. We do not expect every successful candidate to have experience in all of these areas. We encourage you to apply if the role excites you and you believe you can demonstrate a combination of the following capabilities. Business Application Design Co-creating cutting-edge applied AI business solutions with clients and colleagues that will realise meaningful value with a feasible route to reality. Solution Design Supporting and prototyping AI solutions and building engineering teams who can realise designs at scale - you know the best designs are working prototypes and want to use these as a basis for an engineering team. Delivery Problem Solving Solving complex delivery problems that arise during the development and scaling of AI solutions. You'll help connect the dots to realise route to live for our clients and be the primary translator between engineers and non technical stakeholders. Delivery Leadership Providing delivery guidance and leadership within the team, including mentoring junior colleagues and contributing to skill development. Continuous Learning and Adaptation Staying updated with the latest developments in AI, machine learning, and related technologies to continually enhance the quality of solutions offered. Ethical Consideration and Compliance Upholding and actively contributing to ethical standards in AI development, including considerations for data privacy, bias minimisation, and regulatory compliance. Helping to expand our knowledge on this subject and driving ethical ways to implement AI. Senior Client Relationships Building robust, trusted relationships with senior business and technical clients. We aren't a company of body shop engineers - we constructively challenge our clients to help them become AI leaders in their field. Delivery Stewardship across a Portfolio of Projects You may work across multiple accounts or projects simultaneously, amplifying your impact through effective team leadership. Your ability to juggle various responsibilities will be key to the success of our projects. Indicators you'll be a good fit Background in product and delivery management You have 4+ years of experience in delivering software solutions for enterprise. Strong experience leading teams to design and develop production grade solutions in enterprise, involving: Python application development Building microservices Data technologies Large language models Strategic thinker and team leader You get as much joy from managing and leading teams as you do from developing solutions. You can demonstrate successful experience in both hands on engineering and owning outcomes from inception to completion. Standard setter You set high standards of technical excellence for yourself and your teams, providing guidance, identifying areas for improvement, and constantly striving towards better coding practices. AI translator You are comfortable explaining concepts and approaches to senior business leaders and both technical and non technical audiences. Coach, mentor and educator You have a history of supporting the professional development of engineers, creating a supportive environment which encourages learning and growth. You are committed to sharing knowledge and driving collective improvement across Tomoro and our clients' organisations. Engineering First mindset You know nothing happens without engineers writing great code, and the role of a delivery lead is an enabler for our engineers to continue doing what they do best. Innovator and thought leader You proactively stay up to date with the latest developments in AI technology, connecting the dots and devising ways to apply new tools and techniques to real world problems faced by Tomoro and our clients. You contribute to the organisation's knowledge base and assets and are developing a reputation in the market for your insights and expertise. Package Salary range of £70,000 - £100,000 + EMIs Opportunity to join our Enterprise Management Incentive Scheme, providing you with share options to benefit from the success of the business as we grow Holiday entitlement of 25 days + bank holidays Aviva Private medical insurance Medicash wellness cash plan to help cover the cost of everyday healthcare needs Life Policy Employee Assistance Programme with access to 24/7 helpline for in the moment support from qualified BACP counsellors Company pension Access to exclusive discount & savings platforms Location Hybrid working policy. Depending on the client and project requirements, you should remain flexible and willing to travel to client offices up to three days a week.