Victrays

Data Governance Lead at EDF Trading - London, United Kingdom Data Governance Lead at EDF Trading - London, United Kingdom Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! When you join EDF Trading you'll become part of a diverse international team of experts who challenge conventional ideas, test new approaches and think outside the box. Energy markets evolve rapidly so our team needs to remain agile, flexible and ready to spot opportunities across all the markets we trade in: power, gas, LNG, LPG, oil and environmental products. EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it's experience that makes us leaders in the field. Energy is what we do. Most of all, we value our people. Become part of the team and you will be offered a great range of benefits which include hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessment, corporate gym memberships, electric car lease programme, childcare vouchers, cycle to work scheme, season ticket loans, volunteering opportunities and much more. We even provide free fruit to keep you healthy. Gender balance and inclusion are very high on the agenda at EDF Trading so you will become part of an ever-diversifying family of around 800 colleagues based in London, Paris, Singapore, Tokyo and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business. Who are we? We are EDF Trading, part of the EDF Group, a world leader in low-carbon sustainable electricity generation partnered with JERA, one of Japan's largest utilities; the perfect organisation at which to begin or progress your career in the commodities sector. Join us, make a difference and help shape the future of energy. Job Description: The Data Management team is part of the Data Team which works very closely with the Front Office and is the centre of master data management, data quality and control with direct responsibility over the development and maintenance of EDF Trading's data assets. Position purpose The Data Management team is looking for a Data Governance Lead to manage a team of analysts and work with the product team for defining requirements for Data Governance products and processes (i.e. Data Quality tool, Data Catalogue, APIs, Access Controls and policy documents.) as well as coordinating and overseeing the work done by the departments involved. The Data Governance Lead is expected to have leadership and project management skills, and extensive experience of working with data governance frameworks and tools within a cloud environment. They will assume responsibility for the planning and implementation of all data governance initiatives. The suitable candidate will have experience with SQL databases along with data modelling, data scraping, ETL, scripting and data support as well as direct experience implementing data governance initiatives within cloud platforms e.g. DataBricks This is a hands on role that additionally requires definition and documentation of data processes involved, guidelines, procedures and material for the customer. It requires understanding of data processes and analysis as well as willingness to learn about new technologies and big data tools. Main responsibilities Own the data governance roadmap and drive meaningful improvements in EDFT's ability to securely ingest, monitor, explore and govern our data. Formulate requirements for the products developed by the Technology team based on customer needs (Data Catalogue, API Layer, Data Quality Tool, etc.) Liaise with Data Consumers to understand their needs for data usage and access and translate these into technical requirements Line manage a small team of governance analysts, prioritize workloads and own the delivery of all data governance initiatives in line with plan Select use cases from the Data Consumers and validate the requirements Perform system analyses and testing to determine appropriate functionality of the features developed and to ensure that suitable controls are in place Coordinate and lead work to complete milestones agreed with the Data Platform team as well as the Data Operations and Data Stewards Design, develop, test, implement and support innovative and optimal data solutions within both existing and new systems. Participate in broader architectural discussions ensuring robust data governance principles are adhered to and suitable processes and tooling are in place Design and specifications development for migration from legacy system to the new developed products Ensure solutions are implemented correctly, properly documented and easily supported by the team. This list is not exhaustive and may include other tasks assigned by the manager. Required Skills and Experience Experience with requirements gathering (i.e. interaction with business users, technical developers), technical and functional specifications for products built in-house (i.e. data catalogue, data quality tool, data storing, retiring data, etc.) Experience with testing methodologies for end to end development process of in house built products. Experience working with relational and non relational database technologies Leadership and Project Management skills required with the ability to shift between strategic planning and technical implementation Hands on experience working with unified analytics platforms such as DataBricks, GCP, AWS and familiarity with the available data governance tools. Good knowledge on SQL databases Experience in data quality monitoring, ideally with event streams such as NiFi/Alteryx or similar Good knowledge of data architecture and data modelling, as well as tools used to support these processes e.g. data catalogues, data quality tooling, data lineage monitorin Experience working with JIRA, AzureDevops or other project management tools Takes ownership of any issues that come up and facilitates their resolution quickly using own initiative while managing expectations. A thirst for the latest technologies and automation coupled with a curiosity to research and innovate on new approaches A flexible approach and a willingness to move between multiple tasks and take on more responsibilities Interest in energy trading and willingness to work across the business on understanding the needs of different teams Able to multitask, switch focus and prioritise own tasks being comfortable to work under pressure with demanding front office users Desirable Skills and Experience Data Catalogue tools and implementation Alteryx/NiFi Familiarity with data visualization tools e.g. PowerBI or Tableau Data extraction and manipulation languages e.g. SQL, Python Knowledge of statistical software and packages such as R, Matlab, Pandas, NumPy or SciPy Experience with algorithmic trading systems and low latency trading Knowledge of financial markets is desirable but experience of working in other "big data" or HPC environments is equally valid. By joining you agree to with our Privacy Policy and provide consent to receive updates from our Victrays.

Customer Engineer, Infrastructure Modernization, UKI at Google - London, UK; Manchester, UK Customer Engineer, Infrastructure Modernization, UKI at Google - London, UK; Manchester, UK Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience with container runtime environments, such as Google Kubernetes Engine/Cloud Run, or similar. Experience with frameworks for deep learning (e.g., PyTorch, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs) and using machine learning APIs. Experience engaging with and presenting to technical stakeholders and executive leaders. Experience in migrating applications and services to cloud platforms. Preferred qualifications: Experience with security concepts such as encryption, identity management and access control. Experience with networking concepts such as software-defined networking, routing, virtual private networks, load balancers and firewalls. Experience building and maintaining customer relationships, with excitement for building Greenfield territories in enterprise accounts. Knowledge of backup and disaster recovery solutions, encompassing strategy, implementation, and maintenance to ensure data integrity and business continuity. Knowledge of developing scalable architectures using microservice frameworks, API management and PaaS. About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. The Google Cloud UKI Platform team empowers customers, from developers to government agencies, to innovate with secure, scalable cloud technology, spanning infrastructure to applications. As part of this rapidly growing, entrepreneurial team, you'll be crucial in understanding customer requirements and shaping how businesses connect through technology with customers, employees, and partners. As a Customer Engineer for our Platform Practice team, you'll be a trusted technical advisor, guiding customers to design, deploy, and optimize their Google Cloud environments. Your focus will be on smooth migrations and developing new use cases leveraging our AI-optimized infrastructure. You'll work closely with Go-to-Market, Product, and Engineering teams to maximize customer infrastructure investments and accelerate Google Cloud growth. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work to identify and qualify business opportunities, understand key customer technical objections and develop a strategy to resolve technical blockers. Guide customers through assessments of existing environment(s) and provide recommendations on a prioritization roadmap for infrastructure and application modernization and migration to Google Cloud. Leverage in-depth enterprise infrastructure modernization expertise to support our customers, including technology advocacy, product and solution briefings, proof of concepts and working directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Help customers understand and incorporate AI accelerators into their overall cloud strategy by incorporating Google Cloud AI optimized infrastructure. Be responsible for business and workload acceleration on infrastructure products and solutions for Google Cloud.

OurAI Platform team drives the success and innovation of Miro's AI-powered product vision. We are responsible for building the internal platform, tooling, and APIs that enable Miro's product teams to seamlessly integrate and scale AI use cases. Our mission is to establish a robust and flexible technical foundation for AI innovation, enabling internal teams to move faster, build responsibly, and deliver world-class AI features to our users. About the Role As aBackend Engineer in our AI Platform team, you'll play a crucial role in building and scaling the core that powers AI across Miro. You will help lay the technical foundation for how Miro builds, deploys, and serves AI/ML capabilities-supporting tens of millions of users as we evolve into an increasingly intelligent product. You'll work on internal tools that empower teams to experiment with and ship AI features quickly and responsibly, and data pipelines for AI use cases. This is an exciting opportunity to shape how AI is built and adopted across the company. What you'll do Design, develop, and maintain backend services that support model training, inference, and experimentation Develop tooling that improves reliability, reproducibility, and speed of AI development and deployment across Miro Contribute to system architecture and infrastructure choices with a focus on scalability, performance, and maintainability Build scalable and efficient data pipelines to power AI insights and quality improvements Help shape and drive technical strategy for Miro's AI platform Maintain high code quality through testing, code reviews, and automation What you'll need 4+ years of backend engineering experience Strong experience with Python, Java or Kotlin in production environments Experience designing and maintaining scalable servicesFamiliarity with modern AI providers (AWS Bedrock, Open AI, Anthropic, etc) Proficiency in modern development practices (CI/CD, observability, test automation) A passion for building tooling that accelerates innovation Strong ownership mindset and collaborative approach to problem-solving Experience with ML Ops Experience working in a product-led company or supporting AI in end-user features Understanding of AI/ML concepts such as model training, validation, and evaluation metrics What's in it for you Competitive equity package Health insurance for you and your family Lunch, snacks and drinks provided in the office Wellbeing benefit and WFH equipment allowance Annual learning and development allowance to grow your skills and career Opportunity to work for a globally diverse team About Miro Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 90M users worldwide, including 99% of the Fortune 100. Miro was founded in 2011 and currently has more than 1,600 employees in 12 hubs around the world. We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you! Check out more about life at Miro: At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro's mission - Empower teams to create the next big thing - is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in, and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.

A global restaurant brand seeks a Senior Technical Analyst in London to revolutionize observability and AIOps capabilities. The role involves acting as a liaison between technology stakeholders and AIOps teams, implementing AI-driven solutions, and managing data pipelines. Candidates should have expertise in AIOps platforms and cloud-native technologies such as Docker and AWS. Strong analytical skills are essential for addressing IT challenges and optimizing system performance.

A prominent financial technology company in the UK is seeking a Lead Salesforce Administrator with over 7 years of experience to enhance our Salesforce ecosystem across various clouds. This role entails collaborating with cross-functional teams to implement robust solutions and optimizing workflows. Ideal candidates should possess strong project management skills and a deep understanding of CRM architecture. The position offers a dynamic work environment and opportunities for professional growth.

A leading health tech company in London is looking for a Data Science Lead to head their Predictive Growth Optimization team. This pivotal role will involve developing and implementing machine learning models that significantly influence user acquisition and marketing strategies. The ideal candidate will have over 7 years of applied ML experience and will lead a team of engineers. The firm offers competitive salaries, professional growth opportunities, and meaningful workplace benefits, all aimed at ensuring great health outcomes for users.

A leading technology company is looking for a Customer Engineer in Infrastructure Modernization to join their UK team. The role requires extensive experience (10 years) in cloud native architecture, along with knowledge of deep learning frameworks and experience in client-facing environments. Responsibilities include guiding customers through their cloud journey, strategizing on technical blockers, and ensuring smooth migrations. This position offers an opportunity to work closely with various teams to enhance Google Cloud products and solutions.

A leading tech company in London is looking for a Forward Deployed Software Engineer to develop applications leveraging advanced physics AI models. This role involves collaborating with cross-functional teams to address customer challenges and deliver impactful solutions. The successful candidate will have a strong background in software engineering, be solution-focused, and possess the ability to engage proactively with customers. Benefits include equity options, a flexible hybrid work setup, and a supportive workplace culture.

Forward Deployed Software Engineer at PhysicsX - Shoreditch, London PhysicsX is a deep tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high fidelity, multi physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations-empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Role Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you'll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We're looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to solve these problems. Who We're Looking For Technical ability: Solve hard problems across a wide range of engineering disciplines. A background in Mechanical Engineering or similar is a plus. Solid foundation in software engineering, API design, and deploying applications to production is desired. Proactivity & high ownership: Drive impact for our customers. Be a go getter, naturally inclined to find problems and solve them end to end. Own responsibility to get things done and pick up the skills needed to solve novel problems quickly. Solution focused: Build tools that customers need, not just the ones they want. Be customer obsessed and work alongside customers to understand their problems and build applications that change how they do engineering. What a day might look like Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front end engineers to shape the UX in line with customer needs. Design end to end applications: shape tools that are impactful for customer teams, construct low lift prototypes, ship them directly to customers, and rapidly iterate on user feedback. Backend development: build and maintain RESTful APIs (FastAPI) and microservices in Python to serve large physics models. Deploy applications to the cloud (Helm, Kubernetes, Terraform, AWS/Azure). PhysicsX development: distill complex solutions into fundamental components, pitch and execute new features on top of our core platform, and drive the direction of PhysicsX to solve ever harder problems. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage. Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically under represented groups to apply.

Senior Technical Analyst - McDonald's Corporation, London, United Kingdom Company Description McDonald's growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald's will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway. McDonald's Global Technology is here to power tomorrow's feel-good moments.That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time.Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant.We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced. Check out the McDonald's Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy. Job Description McDonald's is on an exciting journey to revolutionize our observability and AIOps capabilities. Our mission is to transform data into actionable insights and drive operational excellence across our organization. We are seeking a dedicated team member who will play a pivotal role in bridging the gap between our technology stakeholders and the observability and AIOps teams. In this role, you will act as a crucial liaison, representing the voice of technology during the development of processes and governance frameworks that will bring our new function to life. Your expertise in IT operations and observability, combined with your excellent communication skills, will be essential in informing the design of critical capabilities such as incident management, monitoring, and automation. You will ensure that future state processes are aligned with both upstream and downstream teams across the tech ecosystem, fostering a collaborative and cohesive environment. Responsibilities Automation: Implement AI-driven automation to enhance the efficiency of IT operations. Monitoring and Maintenance: Utilize AIOps tools to monitor systems, detect anomalies, and predict potential issues before they impact operations. Data Pipeline Management: Develop and maintain ETL pipelines within Cribl to ensure data collection and processing. Collaboration: Work closely with development, operations, and observability teams to integrate AI solutions into the everyday workflow. Incident Management: Employ AIOps for proactive incident management and resolution. Performance Optimization: Continuously optimize system performance using AI insights and recommendations. Qualifications Technical Skills Required: AIOps Platforms: Familiarity with platforms such as Moogsoft, BigPanda, or IBM Watson AIOps. Cloud Native Expertise: Experience with Docker, Kubernetes, AWS, Google Cloud, or Terraform. Machine Learning: Understanding of machine learning concepts and frameworks. Problem-Solving: Strong analytical and problem-solving skills to address complex IT issues. Additional Information At McDonald's we arePeople from allWalks ofLife People are at the heart of everything wedo,and they make the McDonald's experience.We embrace diversityand arecommitted to creating an inclusive culturethat means people can be their best authentic self in our restaurants and offices, which helps us to better serve our customers. Wehave a strong heritage of diversity and representation within our communities, which we are proud of. The diversity of our people, customers, Franchisees and suppliers gives us strength. Wedo not tolerate inequality, injustice or discrimination of any kind. These are hugely important issues and a brand with our reach and relevance means we have a very meaningful role to play. We also recognise our responsibility as a large employer to continue being active in our communities,helping to develop skills and drive aspirationsthat will help people to be more aware of the world of work and more successful within it, whether with McDonald's or elsewhere."

Lead Salesforce Administrator, Europe at Circle - United Kingdom Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data - globally, nearly instantly and less expensively than legacy settlement systems. This ground-breaking new internet layer opens up previously unimaginable possibilities for payments, commerce and markets that can help raise global economic prosperity and enhance inclusion. Our infrastructure - including USDC, a blockchain-based dollar - helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology. What you'll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible and diverse work environment where new ideas are encouraged and everyone is a stakeholder. What you'll be responsible for: You will play a critical role in driving the effectiveness of our Salesforce ecosystem across Sales Cloud, Service Cloud, and Experience Cloud in the Europe region. As a key member of the Revenue Operations team, you will partner closely with cross-functional stakeholders to deliver scalable solutions, streamline complex workflows, and ensure Salesforce is a high-performing, reliable foundation for our go-to-market teams. What you'll work on: Build, maintain, and optimize Salesforce Flows, validation rules, custom fields, and automation to support end-to-end revenue operations Translate business requirements into scalable technical solutions across Sales Cloud, Service Cloud, and custom objects Configure and manage Experience Cloud to support seamless Help Center experiences for both internal and external users Manage the end-to-end lifecycle of Salesforce enhancements, including intake, testing, communication, and deployment Collaborate with cross-functional teams on workflows supporting onboarding, sales processes, partner programs, and customer care Support and manage integrations with tools such as HubSpot, Gong, DocuSign, and others Contribute to the Salesforce roadmap by prioritizing requests, managing backlogs, and driving key projects in partnership with the Revenue Operations team Apply agile project management practices such as sprint planning, documentation, retrospectives, and status updates Manage declarative configurations and, where needed, grow into APEX, SOQL, or custom development to support complex solutions What you'll bring to Circle: Core Requirements 7+ years of hands on Salesforce administration experience, including Sales Cloud, Service Cloud, and Experience Cloud Proven ability to design and implement scalable Flows and automation in Salesforce Experience configuring Help Center or Experience Cloud sites and managing user permissions Deep understanding of CRM architecture, data models, and permissioning best practices Strong project management and communication skills to manage timelines, backlogs, and stakeholder needs Experience/familiarity with Slack, Apple MacOS and GSuite. Familiarity with generative AI models (ChatGPT, Gemini, etc.) and crafting effective prompts Preferred Requirements Additional certifications such as Platform App Builder, Advanced Admin, or Experience Cloud a plus Curiosity and technical proficiency, with interest or experience in APEX, SOQL, or Git-based version control Exposure to Lightning Web Components (LWC) in a business setting Background supporting go-to-market functions in a regulated or FinTech environment Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

A leading energy company seeks a Data Governance Lead in London. This role involves managing a team, driving data governance initiatives, and collaborating with the product team to ensure high quality data management. The ideal candidate will have solid experience in SQL databases, data governance frameworks, and cloud environments. This position offers flexible working arrangements and a comprehensive benefits package, highlighting the company's commitment to innovation and teamwork.

Data Science Lead at Flo Health - London 400M+ downloads. 75M+ monthly users. A decade of building - and we're still accelerating. Flo is the world's health app on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 - and we're not slowing down. With 6M paid subscribers and the highest rated experience in the App Store's health category, we've spent 10 years earning trust at scale. Now, we're building the next generation of digital health - AI powered, privacy first, clinically backed - to help our users know their body better. The job We're not chasing a product - market fit. We've found it. Flo is used by 1 in 4 women aged 18-44 in the US. Last year, $200M raised. Earlier this year: 8.6M new installs, 2.8M user jump. That kind of scale doesn't just happen. It's engineered - and increasingly, it's predicted. That's where you come in. We're hiring a Data Science Lead in London to build and lead our Predictive Growth Optimization team - pioneering ML models that power our user acquisition strategy, predict lifetime value, and optimise our $25M+ annual marketing spend across channels. This role owns the strategy, development, and continuous improvement of Flo's pLTV system - a mission critical model reused across UA, AdTech, personalization, and financial forecasting. You'll balance hands on technical leadership with people management, building production systems that directly impact our growth trajectory. What you'll do Lead & develop a team of 4+ ML and Backend engineers - hiring, mentoring, and setting technical direction Own pLTV strategy - architect and evolve our core predictive lifetime value models that inform millions in UA decisions Build production ML systems - from MMM algorithms to real time forecasting models handling millions of daily predictions Drive cross functional impact - partner with Growth, Product, and Finance to translate business problems into ML solutions Shape technical architecture - guide MLOps infrastructure, monitoring, and rapid iteration cycles Stay hands on - contribute to modeling, architecture decisions, and technical problem solving as needed What you bring Technical Leadership 7+ years applied ML experience building and deploying models in production 4+ years managing technical teams (ML engineers, data scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable translating business requirements into technical roadmaps Strong communication skills - can explain complex models to executive stakeholders Production ML Systems Experience deploying ML models at scale (millions+ predictions/day) Knowledge of MLOps practices: model versioning, monitoring, automated retraining Understanding of data engineering fundamentals and cloud platforms Nice to have Experience with Marketing Mix Modeling, attribution, or ad tech Background in consumer tech, mobile apps, or health tech Knowledge of privacy preserving ML techniques and A/B testing methodology How we work We're a mission led, product driven team. We move fast, stay focused and take ownership - from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You'll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here's what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo's performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same sex and adoptive parents Accelerated professional growth through world changing work and learning support Flexible office + home working, up to 2 months a year working abroad 5 week fully paid sabbatical at 5 year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role - nothing else. We're proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants. Join now and stay informed with weekly updates on new AI tools and breaking AI news! By joining you agree to with our Privacy Policy and provide consent to receive updates from our Victrays.

Customer Engineer, Infrastructure Modernization, UKI at Google - London, UK; Manchester, UK Customer Engineer, Infrastructure Modernization, UKI at Google - London, UK; Manchester, UK Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience with container runtime environments, such as Google Kubernetes Engine/Cloud Run, or similar. Experience with frameworks for deep learning (e.g., PyTorch, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs) and using machine learning APIs. Experience engaging with and presenting to technical stakeholders and executive leaders. Experience in migrating applications and services to cloud platforms. Preferred qualifications: Experience with security concepts such as encryption, identity management and access control. Experience with networking concepts such as software-defined networking, routing, virtual private networks, load balancers and firewalls. Experience building and maintaining customer relationships, with excitement for building Greenfield territories in enterprise accounts. Knowledge of backup and disaster recovery solutions, encompassing strategy, implementation, and maintenance to ensure data integrity and business continuity. Knowledge of developing scalable architectures using microservice frameworks, API management and PaaS. About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. The Google Cloud UKI Platform team empowers customers, from developers to government agencies, to innovate with secure, scalable cloud technology, spanning infrastructure to applications. As part of this rapidly growing, entrepreneurial team, you'll be crucial in understanding customer requirements and shaping how businesses connect through technology with customers, employees, and partners. As a Customer Engineer for our Platform Practice team, you'll be a trusted technical advisor, guiding customers to design, deploy, and optimize their Google Cloud environments. Your focus will be on smooth migrations and developing new use cases leveraging our AI-optimized infrastructure. You'll work closely with Go-to-Market, Product, and Engineering teams to maximize customer infrastructure investments and accelerate Google Cloud growth. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work to identify and qualify business opportunities, understand key customer technical objections and develop a strategy to resolve technical blockers. Guide customers through assessments of existing environment(s) and provide recommendations on a prioritization roadmap for infrastructure and application modernization and migration to Google Cloud. Leverage in-depth enterprise infrastructure modernization expertise to support our customers, including technology advocacy, product and solution briefings, proof of concepts and working directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Help customers understand and incorporate AI accelerators into their overall cloud strategy by incorporating Google Cloud AI optimized infrastructure. Be responsible for business and workload acceleration on infrastructure products and solutions for Google Cloud.

A tech company in Greater London is looking for a talented Backend Engineer to join their AI Platform team. The role involves designing and developing backend services for AI capabilities, ensuring reliability and scalability. Ideal candidates will have over 4 years of experience in backend engineering, particularly with Python or Java. This is a chance to work in a diverse environment with opportunities for personal growth, good benefits, and a collaborative team culture.

A leading technology company is looking for a Customer Engineer in Infrastructure Modernization to join their UK team. The role requires extensive experience (10 years) in cloud native architecture, along with knowledge of deep learning frameworks and experience in client-facing environments. Responsibilities include guiding customers through their cloud journey, strategizing on technical blockers, and ensuring smooth migrations. This position offers an opportunity to work closely with various teams to enhance Google Cloud products and solutions.

A leading travel technology company in London is looking for a Creative Technologist to join their team. This role focuses on integrating innovative technologies into marketing strategies, transforming workflows through AI and automation. Candidates should have experience in creative technology and a passion for exploring new tools and processes. Responsibilities include developing various creative assets and ensuring project efficiency. This position offers a competitive benefits package and a flexible work environment.

Integrations Project Manager at Constructor - London, England, United Kingdom - Remote About Us Constructor is the next-generation platform for search and discovery in ecommerce, built on a unique GPT-based architecture made specifically for commerce. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences, from search, to recommendations, to AI Shopping Agents and everything in between. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, Under Armour, home24, Birkenstock and The Very Group. Constructor is a U.S. based company that has been in market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. About the Position The Project Manager, Customer Integrations will be responsible for orchestrating all aspects of our customer integration process improvement initiatives. This includes: Process Analysis & Optimization: Thoroughly understand, map, and analyze existing customer integration processes from end-to-end. Identify critical gaps, bottlenecks, redundancies, and areas of waste within current integration workflows. Develop and implement strategies to improve process efficiency, reduce manual effort, and minimize integration timelines. Lead the initiative to standardize customer integration pathways, creating clear, repeatable, and scalable processes. Develop and maintain a comprehensive customer integration playbook, including process flows, best practices, common integration patterns, and recommended solutions. Identify and document common ways of integration, enabling the team to provide proactive and efficient recommendations to customers. Cross-Functional Alignment & Collaboration: Act as the central point of contact for all customer integration-related projects and process improvements. Foster strong alignment and build collaborative relationships with various internal teams, including Sales, Engineering, Product Management, Technical Support, and Customer Success. Clearly define roles, responsibilities, and handoffs to ensure smooth execution and reduce duplicated work or team dependencies. Facilitate regular meetings and communication channels to ensure all stakeholders are informed and aligned. Proactively identify patterns, trends, and common challenges in customer integrations to inform process improvements and potential product enhancements. Establish metrics and reporting to track the effectiveness of integration processes and identify further opportunities for optimization. Champion a culture of continuous improvement within the integration ecosystem. Project Management: Lead Customer Integration teams' meetings (e.g., standups) to ensure continuous collaboration. Manage all phases of integration improvement projects, including planning, execution, monitoring, and reporting. Develop project plans, define scope, set timelines, and manage resources effectively. Track project progress and provide regular updates to stakeholders. Requirements Demonstrated experience in project management, particularly with data integration and technical solutions (3+ years preferred). Demonstrated ability to lead cross-functional teams and influence stakeholders without direct authority. Strong technical acumen, with the ability to communicate effectively with engineers and non-technical stakeholders. Proven experience in mapping complex processes, identifying inefficiencies, and implementing successful process optimization initiatives. Proven success in managing complex data integration projects, ideally in eCommerce, SaaS, or System Integration environments. Experience in cross-functional leadership, aligning teams with varying priorities and technical expertise. Experience with data tracking, catalog management, and API integrations is a plus. Familiarity with data ingestion, health monitoring, and alerting tools is a plus. Strong problem-solving skills and the ability to lead technical initiatives from concept to implementation. Excellent communication and stakeholder management abilities. Ability to thrive in a fast-paced environment and adapt to changing project needs. Familiarity with project management tools and agile methodologies. Commitment to continuous learning and process improvement. ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year Fully remote team - choose where you live ️ Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Work with smart people who will help you grow and make a meaningful impact This position is fully remote - Constructor.io is a remote-first company. Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.

A leading data and AI company in London is seeking a Big Data Solutions Architect to address customer big data challenges. The ideal candidate will have a strong background in data engineering, cloud technologies, and experience with distributed computing using Apache Spark. You will guide strategic customers on their big data projects and provide exceptional support and solutions. The role requires 30% travel to clients.

Software Engineer, Python at DRW - London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is seeking an exceptional Software Engineer responsible for designing and developing tools and infrastructure used by Traders and Quantitative Researchers. In this role, you will be collaborating with people across the firm to provide cutting edge technology solutions that expand our existing trading platform, all while promoting software engineering best practices. You will be presented with an opportunity to work on high profile projects that have an impact across the organization. Responsibilities Manage the day to day technology requirements of our proprietary trading systems. Accelerate trading and research analysis workflows by utilizing and expanding on DRW's in house infrastructure and improve productivity. Evaluate new technologies and identify/deprecate legacy code to improve on the current technological stack. Collaborate with other engineers, traders, and researchers to design custom frameworks or end user solutions. Write performance sensitive code and user friendly APIs to facilitate access to our in house data analysis infrastructure. Lead design discussions and conduct code reviews to maintain high standards and quality of written code. Requirements Bachelor's or Master's degree in Computer Science or related Engineering discipline. 5+ years of experience building demanding, live systems in Python. In depth knowledge of Python and keeps up with current standards (3.8 onwards). Up to date knowledge of the Python ecosystem: third party libraries, packaging in built Python libraries. Knowledge of concurrent programming a major plus. Solid understanding of data structures. Strong verbal and written communication skills. Familiarity with GitHub Actions. Familiarity with Linux. Ability to mentor others and lead small projects. Ability to work with tech staff and end users that are located globally. Experience in the trading industry. Knowledge with Anaconda. Familiarity with the scientific Python stack (pandas, numpy, scipy, TensorFlow). For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at