33 jobs found

About StackOne: StackOne is the AI Integration Gateway for SaaS products and AI Agents. Backed by GV and Workday Ventures ($24M raised), we help builders of SaaS platforms and AI Agents orchestrate hundreds of scalable, accurate, and enterprise-grade integrations. Our platform combines 25,000 pre-mapped actions on 200 connectors, an AI-powered integration development toolkit, plus security by design: a real-time architecture, managed authentication and permissions, and end-to-end observability. Join us on our fast trajectory to build the future of agentic integrations. About the role We're looking for a Senior Platform Engineer to own how StackOne is built, shipped, and run, as we scale across our own cloud and into our customers' clouds. You'll own the infrastructure behind the platform, our deployment pipeline and developer tooling, and how we package StackOne to run inside customers' own AWS, GCP, or Azure accounts. It's a hands on role with broad scope. You write code and tooling, you own the IaC other engineers depend on, and you set the standard for how every new repository gets deployed and secured. You'll report directly to the CTO and work closely with our Security Engineer and tech leads. Responsibilities Own our infrastructure at scale: the AWS estate today (ECS Fargate, Aurora, ElastiCache, MSK, OpenSearch, Lambda, KMS) and the AWS CDK to Terraform migration. Keep it reliable, observable, and cost aware. Build out the deployment pipeline as we consolidate toward a monorepo: the CI/CD that ships every service, plus an automated end to end testing harness with incremental (affected only) testing that stays fast as we grow. Ship into customers' own clouds (self hosted / BYOC): the Terraform modules, container images, runbooks, and documentation for internal teams and customers. Own the release and upgrade path for self hosted customers: versioned, signed releases, a supported version policy, and a call home for usage and version reporting. Set the standard for new repositories: partner with the Security Engineer and tech leads so new projects (product, internal tools, and vibe coded prototypes) ship secure and deployable from day one. Templates and golden paths, not gate keeping. Raise reliability: SLOs, observability, and incident response. Make the system easy to operate when something breaks at 3am. Treat infrastructure as a product: paved roads and self serve tooling so product engineers ship without waiting on you. Use AI in the workflow: lean on LLMs and agents for IaC generation, test scaffolding, and runbook drafting, with guardrails you trust. What we're looking for 4+ years in platform, infrastructure, SRE, or DevOps, with hands on AWS at scale: ECS/Fargate, RDS/Aurora, Lambda, networking, IAM, KMS. Deep IaC ability: Terraform and/or AWS CDK, comfortable owning modules other teams build on. Strong CI/CD and monorepo build experience: caching and incremental/affected only test execution. You've made a slow pipeline fast. Strong coding in TypeScript, Python, or Go. You build tooling, not just YAML and configs. Containers in production (Docker); Kubernetes a plus. Security minded: you bake secure defaults into pipelines and repo templates, and partner with security rather than routing around it. A clear writer: docs and runbooks that internal engineers and external customers can follow. End to end ownership: you scope, ship, and measure, and automate instead of running manual checklists. Nice to have Shipping software into customers' own cloud or on prem (BYOC / self hosted), or a platform like Nuon, Replicated, or Omnistrate. Multi cloud (GCP or Azure) IaC, and exposure to Temporal, Kafka/MSK, ClickHouse, or OpenSearch. Our stack Cloud & infra: AWS (ECS Fargate, Aurora Postgres, ElastiCache, MSK, OpenSearch, Lambda, S3, KMS, CloudFront, WAF), Cloudflare (Workers, WAF) IaC: AWS CDK today, migrating to Terraform Data & messaging: Postgres, Redis, Kafka, OpenSearch, ClickHouse CI/CD: GitHub Actions Observability & analytics: Datadog, Sentry, Metabase Languages: TypeScript (Node.js), Python Benefits Meaningful share options (EMI) 25 days holiday + 1 additional day per year of tenure Private health insurance, including dental & optical £15/day London office lunch budget, up to £120/month £1,000 home office setup + £500/year top up Annual team offsite to sunny spots Join one of Europe's fastest growing startups Work with a veteran team of ex Google, Microsoft, Oracle, Coinbase, JP Morgan and more Health, fitness and gift card discounts; Cycle2Work and Electric Cars scheme London (hybrid, 2 days/week) preferred; open to remote within the UK We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Join Our DevOps Team! As we grow and take on exciting new challenges, we're on the lookout for exceptional DevOps Engineers to join our team. Our goal is to build a high performing group of DevOps engineers who thrive on innovation and excellence. If you're passionate about cloud technologies, and building scalable solutions, we'd love for you to be part of shaping the future of our products. Senior DevOps About us Mad Devs is a full stack team specializing in developing and administering large scale IT products across various industries. Many of our products are used in Europe, the USA, and Southeast Asia. We are passionate about tackling complex challenges and delivering innovative solutions that make a significant global impact. What will need to do: Identity, SSO & Access Management SSO & IdP - configure and maintain SSO integrations (SAML, OIDC, SCIM) across our SaaS stack, and keep our identity provider clean and well governed. Account management - provision, modify, and deprovision accounts across productivity and engineering tools; manage groups, roles, and permission boundaries. Access requests - triage and fulfill access requests with appropriate approvals; document why access was granted and review it on a regular cadence. Onboarding & Offboarding Onboarding - equip new hires with the accounts, tools, hardware, and access they need before day one, and walk them through it. Offboarding - execute clean, auditable offboarding: revoke access, recover assets, preserve data per policy, and close the loop with people ops. IT Administration & Productivity Systems Day to day admin - administer Google Workspace, Slack, identity providers, MDM, password managers, and the rest of our SaaS productivity stack. Internal support - be the first line of help for employees with IT issues; resolve, elevate, and document. Security Controls & Monitoring Controls - enforce baseline security configurations across SaaS apps, endpoints, and identity (MFA, conditional access, least privilege). Monitoring - watch our security tooling for anomalies and alerts; investigate, triage, and elevate as needed. Compliance support - help keep us audit ready by maintaining clean records of access, changes, and reviews. Automation & Scripting Light coding - automate the parts of the job that should be automated. Expect to write Python, Bash, or TypeScript glue code, hit SaaS APIs, and build small internal tools. Continuous improvement - improve the systems and runbooks you inherit; if a process is painful or manual, fix it. It will be a plus: Experience with an identity provider such as Okta, Google Cloud Identity, etc. Hands on experience administering Google Workspace and a chat platform (Slack/Teams) Experience with SaaS security tooling, SIEM, or endpoint detection (e.g., CrowdStrike, SentinelOne, Sumo Logic, Datadog) Familiarity with compliance frameworks such as SOC 2, ISO 27001, or HIPAA Comfort with infrastructure as code or configuration as code (Terraform, Ansible, or similar) Exposure to cloud platforms (AWS, GCP, or Azure) and basic IAM in those environments Prior experience in a startup or other fast moving environment Requirements: 0-3 years in IT engineering, IT operations, systems administration, or a similar role (internships and substantial side projects count) Working knowledge of SSO and identity concepts: SAML, OIDC, SCIM, MFA, and the difference between authentication and authorization Comfort in a terminal and with at least one scripting language (Python, Bash, or similar). You should be comfortable writing code, testing it, and committing it using git A security first mindset: you understand least privilege, you don't share credentials, and you take audit trails seriously Strong written communication. You can explain a fix to a non technical teammate and document a process so the next person doesn't have to ask A bias toward ownership. When something breaks, you don't wait to be told; you investigate and follow through Availability to work hours that overlap with the US Central Time (CST) zone (at least 4-5 hours of daily overlap with the team) English and Russian at B2 level, for communication with stakeholders and team Location: any, except Russia and Belarus Why Join us At Mad Devs, you will be part of a company that values creativity, strategic thinking, and continuous improvement. You will work on meaningful projects that impact millions of users worldwide alongside a talented and supportive team. By joining our team, you will have the opportunity to make a real impact, grow your career, and contribute to developing cutting edge solutions in the world of backend engineering. Remote first culture Long term projects Salary in dollars Professional communities Onsite business trips Paid conferences

Why join Safeguard Global? We want to help you "work in any way" - that means making time for family, commitments, and life outside of work so that you can have the best of both worlds. When you own what you do and are driven to deliver, you have the flexibility to decide where and how you work. Our roles aren't just remote and hybrid first - they break free from the traditional ways of doing things, paving a way for a job that works for you. How you will make a difference: Imagine shaping the future of how data drives business decisions and AI innovation. As our Senior Data Engineer, you'll help build a cutting-edge data mesh platform that empowers teams with scalable, reliable, and high quality data. You love getting deep into architecture and tooling, but you also understand the bigger picture, how data transforms into real business value. In this role, your work will directly influence how product, analytics, AI, and business teams use and trust their data every day. Build, maintain, and optimize end to end data pipelines using dbt, Python, PySpark, Polars, and SQL. Operate and enhance our AWS data infrastructure, including Glue, Athena, S3, and supporting tools. Design and evolve Apache Iceberg tables, managing schema evolution, partitioning, compaction, and efficient storage. Drive data quality, observability, lineage, and monitoring across the entire data platform. Translate business and analytical needs into scalable, maintainable, and high performing data solutions. Collaborate with data scientists, analysts, engineers, and product teams to deliver clean, trusted datasets and APIs. Contribute to the ongoing evolution of our data mesh, developing new patterns, enhancements, and architecture improvements. Build AI/ML ready data environments and datasets that enable intelligent products and predictive insights. Document systems, design decisions, and processes to ensure clarity, consistency, and smooth onboarding. What will make you stand out: Hands on experience in data engineering, data infrastructure, or platform roles. Deep expertise with dbt, Python, and SQL, building reliable and scalable pipelines. Extensive experience with AWS services: including Glue, Athena, S3, IAM, and related tools. Proven production experience with Apache Iceberg or similar table formats / lakehouse technologies. Skilled in PySpark and/or Polars for processing large scale datasets efficiently. Track record of designing scalable, modular data architectures that evolve with business needs. Exceptional communicator, able to translate complex technical concepts for diverse stakeholders. Thrive in fast paced, dynamic environments, adapting to shifting priorities with ease. Confidence in mentoring or guiding junior engineers, fostering team growth and knowledge sharing. Experience building data systems for AI/ML applications, bringing models and analytics to life. Familiarity with pipeline orchestration patterns and best practices, streamlining workflows. Hands on exposure to infrastructure as code tools like Terraform or CDK, helping automate and scale infrastructure. Experience with data cataloging, lineage, or governance tools, improving trust and visibility across datasets. Experience with real time or streaming data pipelines, adding speed and responsiveness to data flows. Who we are and what we do: Safeguard Global is global. With offices worldwide and a workforce in 50+ countries, we enable global expansion without the risk by helping 1,500+ customers to hire, manage, and pay their employees in nearly 190 countries. It's all about people! Join us to meet diverse folks, explore new cultures, and connect with amazing talent from around the globe. Our Global Benefits: Autonomy and Flexibility - Remote first, with the flexibility to include life needs like school runs and gym breaks in your schedule while maintaining a high standard of work. Generous leave - Competitive leave package including paid bonding leaves for new additions to your family. Make a difference - 2 paid charitable days off to contribute to causes you believe in. Corporate bonus/SIP - All Guardians are eligible for our annual bonus scheme or sales incentive plan. International environment - Grow your network internationally and collaborate across the world. Human centered culture - We emphasize the people factor in everything we do, ensuring your ideas reach leaders and your contributions receive recognition. Learning - We support your continuous growth by providing access to 2 learning platforms. At Safeguard Global, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and Guardians.

We are seeking a Senior Enterprise Architect (AI Focused) to lead our enterprise AI strategy and drive the design of scalable, cloud native AI solutions. The role focuses on agentic AI, multi agent systems, RAG architectures, and enterprise AI integration aligned to business goals. It establishes best practices for AI architecture, orchestration, governance, and responsible AI, partnering with cross functional teams to deliver secure, production grade solutions across the organisation. The working model is hybrid: 3 days working from home per week, based in the London office, open to UK remote candidates. Key Responsibilities Define and lead the enterprise AI architecture strategy, aligning agentic AI capabilities with business goals Design and govern scalable AI architectures, including multi agent systems, data pipelines, and model lifecycle management Drive adoption of agentic AI frameworks and establish best practices for orchestration, tool usage, and system integration Architect and oversee RAG based solutions, ensuring effective retrieval pipelines, embedding strategies, and knowledge integration Lead integration of AI solutions across enterprise platforms, APIs, and third party services Establish standards for prompt engineering, multi step orchestration, and agent behaviour design Ensure robust governance, including security, compliance, auditability, and responsible AI practices Collaborate with engineering, data, and business teams to deliver production grade AI systems Provide technical leadership across cloud native AI platforms, particularly within Azure ecosystems Mentor teams on AI architecture patterns, emerging technologies, and implementation strategies Must Have Skills & Experience Agentic AI Frameworks: LangChain, LangGraph, Microsoft Agent Framework (formerly AutoGen / Semantic Kernel), CrewAI Databases: SQL (e.g., PostgreSQL) for configuration & operational data; NoSQL vector databases (e.g., Azure Cosmos DB) for embeddings & retrieval Azure Platform: Azure AI Foundry, Azure OpenAI Service, Azure AI Services, Azure App Service, Azure AI Technologies RAG Architectures: chunking strategies, embedding models, retrieval pipelines Python for agent development, ML techniques, APIs Prompt engineering, system prompt design, tool/function calling patterns, multi step orchestration API Integration: calling and orchestrating third party APIs for agent tool use Knowledge of C# API development and DevOps CI/CD pipelines (Azure DevOps or GitHub Actions) Docker, Infrastructure as Code (Terraform or Bicep) Frontend integration: Angular or React for agent facing UIs or dashboards MCP (Model Context Protocol) integration; MCP Apps for interactive UI components Observability & evaluation: LangSmith or similar tracing/evaluation tools; streaming & real time responses (SSE, WebSockets) Testing non deterministic AI outputs, evaluation strategies, golden datasets, regression testing Cost management & token budgeting, caching strategies Multi agent orchestration: collaborative agent systems with delegation and handoffs Fine tuning / model customization for domain specific use cases Authentication & identity: OAuth, managed identities; logging & audit trails for compliance and traceability Experience with additional LLM providers beyond Azure OpenAI (e.g., Anthropic, open source via Ollama/vLLM) Graph databases (Neo4j or similar) for knowledge graph backed agents; message queues & event driven architecture (Azure Service Bus) Security & guardrails: content filtering, prompt injection mitigation, PII handling API design: REST or GraphQL for exposing agent capabilities Benefits Hybrid working model - 3 days from home per week, based in London office (remote accepted within UK) 25 days of annual leave plus bank holidays; 6 early finish days per year as part of Flexi scheme Private medical insurance and health cash plan for employees and families Competitive personal pension plan and tuition reimbursement schemes Income protection plans and generous parental leave and support perks Flexibility to work from anywhere in the world for two weeks a year

The Role Aveni is building next-generation AI systems for UK financial services, where safety, compliance, and trust are non-negotiable. We're hiring a Senior Software Engineer to work on AI and agentic platform capabilities that power intelligent, automated workflows for financial services. This is a high-impact role building foundational technology that underpins Aveni's AI-first strategy. What You'll Be Doing Build Production-Grade Systems Design and implement scalable Python services powering AI-driven workflows Develop resilient, observable systems with strong error handling and compliance traceability Work within a serverless, event-driven AWS architecture Own Delivery End-to-End Take ownership of features from design through to production Collaborate with Product, AI Platform, and Compliance teams Contribute to sprint planning, estimation, and delivery Shape AI & Agentic Systems Build intelligent workflows using LLMs and agentic architectures Integrate AI models into production systems Design guardrails, policy enforcement, and behavioural monitoring for AI agents Mentor & Elevate the Team Support and guide junior and mid-level engineers Lead code reviews and promote engineering best practices Contribute to documentation, demos, and knowledge sharing Drive AI-Augmented Engineering Use AI coding tools to accelerate development and improve quality Requirements What We're Looking For Must Have Strong Python expertise in production environments Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge) Experience working with LLMs or AI/ML systems Strong understanding of APIs, async systems, and scalable architecture Nice to Have Experience with AI safety, guardrails, or policy enforcement Background in agentic systems or autonomous workflows Experience in financial services or regulated environments Familiarity with Node.js / TypeScript, Terraform or CDK Knowledge of observability tools and ML fundamentals You'll Thrive If You Are Pragmatic and able to balance speed with long-term quality Curious about AI, especially safety and responsible usage Comfortable working in a fast-moving scale-up environment A strong communicator who can explain complex ideas clearly Passionate about mentoring and raising team standards This role offers a clear path into Staff or Lead Engineer positions Drive architectural decisions across multiple teams Own complex, cross-cutting AI systems Benefits at Aveni. What you'll love: Remote-first working across the UK 34 days holiday (including flexible bank holidays) and your birthday off Company-wide off-sites Optional Personal Development Plan Flexible benefits platform Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions)

Open to candidates legally eligible to work in Germany, Greece, Poland or Italy. The Purpose of the Role The External Relations (ER) department was created in February 2020 and is comprised of 3 main but complementary functions: Private fundraising, Communications and Policy & Advocacy. The ER department is three years into a 5 year ground breaking and ambitious global strategy that will improve IRC's ability to 'punch above its weight' in private income, advocacy and brand awareness. We are seeking a skilled and versatile Data Engineer to join our dynamic analytics team, which includes data scientists and analysts. In this role, you will leverage your expertise in both analytics engineering and machine learning operations (ML Ops), as well as infrastructure design and deployment, to build, maintain, and optimize the systems and tools that support our data pipelines, machine learning workflows, and business intelligence reporting. Major Responsibilities Support the entire workflow of the ER data model: data pipeline development, ELT performance, timely loading of data sets, and maintenance of data models via the use of monitoring, testing, and automation. Collaborate with analysts, data scientists, and ER stakeholders to understand the opportunities to develop well defined, integrated, production quality, and re usable data models in SQL using dbt, ensuring data quality. Collaborate with data scientists to build and automate end to end ML pipelines, from data preparation to model deployment and monitoring, including designing, implementing, and maintaining MLflow based workflows for model tracking, versioning, and deployment. Apply software engineering practices when creating new data models to ensure data quality & standardisation across our pipelines, and ML and BI tools. Employ comprehensive testing and documentation practices. Drive clear requirements documentation and contribute to code review. Identify and execute internal process improvements, including re designing infrastructure for greater scalability and automating manual processes. Act as a technical expert to the rest of the ER analytics team to mentor analysts and improve analytics engineering as a practice across all ER analytics (query development, extending data models, software development practices, PowerBI data modelling governance, ML Ops). Contribute to continuously clarifying, simplifying, and otherwise improving the conceptual foundations of ER Analytics data models; develop and maintain conceptual data model artifacts including readme level documentation, model diagrams, prototypes, change notices, etc. Collaborate with engineering team, analysts, and business users to implement new ELT pipelines, data infrastructure improvements, and integration of new ER and cross IRC data sets and other data consumption assets. Partner with the Associate Director, Analytics Engineering to evaluate data stack improvements. Support other analytics tasks as needed. Required Skills and Competencies (Minimum Criteria) Curiosity to explore complex and ambiguous problems and deliver structured analytics solutions. 4+ years working in the field of data and analytics. At least 2+ years of professional experience manipulating large scale data, using both Python and SQL (nested data structure manipulation, windowing functions, query optimisation, data partitioning techniques). Strong experience with data pipeline management technologies (e.g. Airflow, dbt), dependency checking, schema design, and dimensional data modelling. Strong experience with ML model management tools, such as MLflow. 2+ years of experience with cloud based data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure). Knowledgeable and passionate about the 'modern data stack'. Strong adherence to data ops best practices, including version control (e.g., GitHub), and data testing. Independent worker with strong attention to detail & commitment to a high standard of work product. Ability to communicate technical concepts to non technical stakeholders and translate business needs into technical requirements. Desire to work in a multi cultural environment and collaborate with people from different backgrounds and experiences. Nice to Haves Familiarity with Salesforce or similar CRM technology. Experience owning dbt in a high growth organisation, including deploying capabilities such as utils, packages, tests, snapshots, and incremental tables. Experience in Snowflake and Databricks. Exposure to Microsoft BI tooling: PowerBI, Power Query and DAX/MDX scripting language. Understanding of infrastructure as code (Terraform, CloudFormation) and CI/CD pipelines for ML/AI workflows. Experience with distributed data processing frameworks such as ApacheSpark or ApacheKafka is a plus. Working Environment Standard office working environment. This role may require working remotely full or part time, and part time remote employees may be required to share workspace. Standard Responsibilities Promote and actively participate in initiatives and efforts to build team engagement, inclusion and cohesion in the IRC London office. Foster ongoing learning, honest dialogue and reflection to strengthen safeguarding and to promote IRC values and adherence to IRC policies. Benefits and Pay Range UK: Narrowing the gender gap - flexible hours (when possible), enhanced maternity/adoption leave and pay and gender sensitive security protocols. Fixed term until June2027 with the possibility of going permanent. Pay ranges: UK £54,350 - £65,800; Germany €58,000 - €62,000. Equal Opportunities & EEO Statement IRC UK strives to be an equal opportunities employer. IRC UK is committed to equality of opportunity and to non discrimination for all job applicants and employees, and we seek to ensure we achieve diversity in our workforce regardless of gender, race, religious beliefs, nationality, ethnic/national origin, sexual orientation, age, marital status or disability. IRC UK welcomes applications from all candidates, including under represented groups and refugees who have the right to work in the UK. IRC UK will ensure that individuals with disabilities are provided with reasonable adjustments to participate in the job application and/or interview process, and for essential job functions if appointed to a role. Please note that the recruitment process will involve online screenings and interviews. For assistance, contact the IRC UK HR team.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advanced Development team at Roku pushes beyond today's product lines to invent the next generation of intelligent and generative media systems. We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalized across millions of Roku devices. This is a rare environment - a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps. Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision - people who challenge convention, embrace ambiguity, and build what's never been built before. It's a collaborative, low-ego, ownership-driven culture built on trust and curiosity. We're seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision - someone who thrives where research meets production. About the Role As a Senior Applied Machine Learning Engineer, you'll help design, build, and deploy the systems that make media smarter. You'll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence. You'll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment - and seeing your work directly influence how audiences experience Roku's content and advertising ecosystem. What You'll Be Doing Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services Integrating services from other teams around the company, while also providing reusable ML services to others Evaluating and providing feedback on new platform technologies provided by internal teams Working with QA teams to address bugs and contribute to automation and quality assurance We're Excited If You Have A Master's degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field Strong background developing applied machine learning systems using PyTorch or TensorFlow Expertise in image processing, computer vision, or natural language processing Experience using AWS, GCP, or Azure for storing data, training, and serving models Proven ability to evaluate models and communicate insights effectively Experience building APIs with frameworks such as GraphQL or REST Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow Hands on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Privacy Information We and our partners are using tracking technologies to process personal data in order to improve your experience. You may always exercise your consumer right to opt-out. For detailed information about personal information we collect and third parties having access to it, please select 'More Information' or refer to our privacy policy.Software Engineer Intern page is loaded Software Engineer Internremote type: Hybridlocations: United Kingdom - London Officetime type: Full timeposted on: Posted Todayjob requisition id: JR100496Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities - from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era - boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It's how we stay driven, supportive, and always one step ahead as AI reshapes our world. As a Data Platform Engineer Intern, you will help build the backbone of our data infrastructure. You'll dive into the world of high-throughput distributed systems, learning how we manage massive data flows using Kafka, Snowflake, and Terraform. This is a hands-on opportunity to move beyond classroom theory and see how global-scale data platforms operate in production. How You'll Spend Your Time: Learning & Building: Collaborating with senior engineers to help maintain and scale our Kafka clusters (Confluent and AWS MSK). Infrastructure as Code: Gaining exposure to Terraform by helping us automate and manage our cloud infrastructure. Code Contribution: Writing clean, testable code primarily in Go, with opportunities to work in Python or TypeScript. Observability: Helping us monitor our data pipelines and troubleshooting issues to ensure our systems stay performant and reliable. Team Integration: Participating in code reviews and agile ceremonies, learning the "Snyk way" of deploying high-quality software via CI/CD. Growth: Engaging with a global cohort of interns to build professional skills and network across our engineering organization. What You'll Need: Foundational Coding Skills: Familiarity with at least one programming language (we use Go, Python, and TypeScript). Curiosity for Infrastructure: An interest in how data moves through a system-concepts like message queues, databases, or cloud computing excite you. Problem-Solving Mindset: A proactive attitude and the desire to understand the "why" behind complex distributed systems. Collaborative Spirit: Strong communication skills and a "team-first" mentality. Academic Path: Currently pursuing a degree in Computer Science, Engineering, or a related technical field (or recently graduated). We'd be Lucky if You: Have played around with Docker or Kubernetes in personal or school projects. Have a basic understanding of what Kafka or Snowflake does. Are passionate about automation and "Infrastructure as Code" concepts. We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers Health benefits, employee assistance plans, and annual wellness allowance Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances

What's Exciting About the Role Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You'll be hands on with day to day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on prem and in AWS Cloud. Beyond keeping the lights on, you'll play a key role in building the data pipelines-of which Kafka is a core component-that power Verifone's new AI, machine learning, and analytics initiatives. You'll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more-so you'll grow well beyond a single technology niche. Hybrid role is open to hiring candidates located in: Bucharest, Romania Ashford, United Kingdom Riga, Lativa Warsaw, Poland Key Responsibilities Kafka Operations & Reliability Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high throughput, fault tolerant messaging and event streaming pipelines. Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA). Handle day to day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing. Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks. Scripting, Automation & DevOps Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency. Design, implement, and maintain robust CI/CD pipelines for patching automation. Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar. Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes. Data Pipeline Development Build and optimize end to end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases. Collaborate with development teams to implement best practices for data flow, security, scalability, and performance. Continuously identify and implement improvements to the software development lifecycle (SDLC). Cloud & Infrastructure Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.). Support cloud migration tasks and assist in moving workloads between on prem and cloud environments. Required Qualifications / Skills 4+ years of overall engineering experience with 2+ years of hands on experience supporting Kafka infrastructure in a large scale production environment. Kafka Producer/Consumer microservices concepts and Kafka distributed architecture. Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk. Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil. CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred). Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch). Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices. Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure). Strong communication and presentation skills with emphasis on executive communication. Flexible with regards to working shifts; on call and weekends. Preferred Skills (Highly Desired) Data Engineering & Pipelines Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration). Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.). Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks. Database & Caching Technologies Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases. Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals). MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore). Infrastructure & Security Container/Kubernetes familiarity (deployments, stateful workloads, storage classes). On prem experience (VMware/KVM, storage, networking). Security fundamentals: least privilege, secrets management, encryption in transit/at rest concepts. Experience working with PCI (Payment Card Industry Data Security) standards. What We Offer Direct impact on Verifone's global payment infrastructure-your work keeps billions of transactions flowing reliably every year. Ground floor involvement in building the data pipelines that will drive Verifone's AI, machine learning, and analytics strategy. Hands on participation in a Kafka to Kubernetes migration-a resume building modernization project from day one. Multi technology exposure-Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake-so you grow as a well rounded platform engineer, not a single tool specialist. Mentorship from senior engineers and Kafka architects with deep production experience. Clear career progression path from mid level to senior and lead engineer. Funded certification paths-Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA-plus budget for courses and technical conferences. Hybrid/remote working flexibility with a collaborative team culture. Competitive compensation with performance based incentives. Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Senior DevOps Engineer Europe Senior DevOps Engineer Fully Remote Web3 / DeFi Infrastructure Revive Recruitment is partnering with a high-growth, product-led Web3 company building next-generation decentralised trading infrastructure. This is a senior, hands on DevOps role with real ownership over mission critical, low latency systems operating at scale. If you love automation, reliability engineering, security and performance and want to help shape the future of decentralised finance, this one's for you. What you'll do Design, build and maintain cloud native infrastructure using Infrastructure as Code (Terraform / Pulumi) Own and continuously improve CI/CD pipelines across backend, frontend and smart contract codebases Implement monitoring, observability and alerting to maximise uptime and catch issues early Optimise infrastructure for latency sensitive, high throughput workloads Lead on security best practices across cloud, CI/CD and runtime environments Define incident response, disaster recovery and post mortem processes Balance performance and redundancy with ongoing cost optimisation Document systems, create runbooks and mentor engineers, embedding a strong DevOps culture What you'll have 8+ years' experience in DevOps / SRE / Infrastructure Engineering Deep hands on experience with AWS and/or GCP Strong Infrastructure as Code background (Terraform, Pulumi or similar) Expert knowledge of Docker & Kubernetes Proven experience building and owning CI/CD pipelines Strong monitoring & observability experience (Prometheus, Grafana, ELK, OpenTelemetry) Solid security foundations (IAM, KMS, Vault, secrets management) Scripting skills in Python, Bash, Go or similar Experience running production, high availability systems Nice to have Web3 / blockchain infrastructure or node operations Low latency trading or real time financial systems Service mesh (Istio / Linkerd) Zero downtime deployment strategies (blue green, canary) What's in it for you Fully remote role with a highly skilled, senior engineering team Real ownership over core infrastructure, not just keeping the lights on Exposure to cutting edge DeFi / Web3 technology Competitive salary plus token based equity (sliding scale) Opportunity to influence architecture, tooling and long term technical direction Fast moving, no bureaucracy environment with an ambitious roadmap Hiring process Hiring Manager interview Technical interview Deep dive technical interview Final interview with Founder / CEO Interested or know someone who'd be a great fit? Get in touch directly or tag them below - candidate referrals warmly welcomed.

Project Contractor Senior Data Engineer, Anti-Fraud Technology Manchester OR London Contract Purpose Technology, at the forefront of cybersecurity Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients' funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe. In this role you will: Be creative with solutions for business needs, it's important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions. Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems. Build ELT pipelines, from source to presentation of data to our internal customers. Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle. Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience. Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes. Own the deployment and operations of the system across environments from development, test, and through to production. Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective. Qualifications we're looking for: A bachelor's degree in computer science, STEM or related discipline is a plus, but not strictly required. Experience as a data engineer. Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred). Proficient using transformation tools such as PySpark/Pandas. Knowledge and practice of graph databases is preferred but not required. Key responsibilities/ Skills and experience Familiarity using data quality frameworks, ie. Great Expectations. Experience building cloud infrastructure using IaC (CloudFormation/Terraform). Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency. Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels. An understanding of agile software development methodology, with scrum framework experience preferred. A desire to continuously learn and develop yourself in both technical and non-technical skillsets. Working at Vanguard We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday. Why Vanguard? Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. It's what we stand for: value to investors. Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Project Contractor Senior Data Engineer, Anti-Fraud Technology Manchester OR London Contract Purpose Technology, at the forefront of cybersecurity Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients' funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe. In this role you will: Be creative with solutions for business needs, it's important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions. Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems. Build ELT pipelines, from source to presentation of data to our internal customers. Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle. Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience. Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes. Own the deployment and operations of the system across environments from development, test, and through to production. Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective. Qualifications we're looking for: A bachelor's degree in computer science, STEM or related discipline is a plus, but not strictly required. Experience as a data engineer. Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred). Proficient using transformation tools such as PySpark/Pandas. Knowledge and practice of graph databases is preferred but not required. Key responsibilities/ Skills and experience Familiarity using data quality frameworks, ie. Great Expectations. Experience building cloud infrastructure using IaC (CloudFormation/Terraform). Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency. Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels. An understanding of agile software development methodology, with scrum framework experience preferred. A desire to continuously learn and develop yourself in both technical and non-technical skillsets. Working at Vanguard We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday. Why Vanguard? Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. It's what we stand for: value to investors. Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What's Exciting About the Role Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You'll be hands on with day to day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on prem and in AWS Cloud. Beyond keeping the lights on, you'll play a key role in building the data pipelines-of which Kafka is a core component-that power Verifone's new AI, machine learning, and analytics initiatives. You'll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more-so you'll grow well beyond a single technology niche. Hybrid role is open to hiring candidates located in: Bucharest, Romania Ashford, United Kingdom Riga, Lativa Warsaw, Poland Key Responsibilities Kafka Operations & Reliability Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high throughput, fault tolerant messaging and event streaming pipelines. Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA). Handle day to day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing. Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks. Scripting, Automation & DevOps Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency. Design, implement, and maintain robust CI/CD pipelines for patching automation. Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar. Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes. Data Pipeline Development Build and optimize end to end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases. Collaborate with development teams to implement best practices for data flow, security, scalability, and performance. Continuously identify and implement improvements to the software development lifecycle (SDLC). Cloud & Infrastructure Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.). Support cloud migration tasks and assist in moving workloads between on prem and cloud environments. Required Qualifications / Skills 4+ years of overall engineering experience with 2+ years of hands on experience supporting Kafka infrastructure in a large scale production environment. Kafka Producer/Consumer microservices concepts and Kafka distributed architecture. Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk. Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil. CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred). Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch). Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices. Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure). Strong communication and presentation skills with emphasis on executive communication. Flexible with regards to working shifts; on call and weekends. Preferred Skills (Highly Desired) Data Engineering & Pipelines Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration). Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.). Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks. Database & Caching Technologies Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases. Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals). MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore). Infrastructure & Security Container/Kubernetes familiarity (deployments, stateful workloads, storage classes). On prem experience (VMware/KVM, storage, networking). Security fundamentals: least privilege, secrets management, encryption in transit/at rest concepts. Experience working with PCI (Payment Card Industry Data Security) standards. What We Offer Direct impact on Verifone's global payment infrastructure-your work keeps billions of transactions flowing reliably every year. Ground floor involvement in building the data pipelines that will drive Verifone's AI, machine learning, and analytics strategy. Hands on participation in a Kafka to Kubernetes migration-a resume building modernization project from day one. Multi technology exposure-Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake-so you grow as a well rounded platform engineer, not a single tool specialist. Mentorship from senior engineers and Kafka architects with deep production experience. Clear career progression path from mid level to senior and lead engineer. Funded certification paths-Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA-plus budget for courses and technical conferences. Hybrid/remote working flexibility with a collaborative team culture. Competitive compensation with performance based incentives. Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

A leading consulting company seeks Senior Software Developers/Engineers with extensive experience in Python and Machine Learning for a strategic project. Responsibilities include working with a dynamic team and developing complex applications. Candidates should have 7-10 years of proven experience and must demonstrate integrity and trustworthiness. The role offers a competitive daily rate ranging from £500 to £2000, with possibilities for remote work and permanent placement.

Lead ML Engineer page is loaded Lead ML Engineerremote type: Hybridlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Role Purpose As a Lead Machine Learning Engineer (MLE) at Hiscox, you will shape and scale our Machine Learning Engineering capability and ensure the successful deployment and operation of ML in production. You will lead the MLE sub-chapter, line manage Machine Learning Engineers, and partner closely with the Head of Data Science, the Data Science sub-chapters and Platform/Group teams to enable scalable, reusable, and well-governed ML solutions.You will be accountable for the MLOps platform, ensuring it is reliable, secure, and continuously evolved and for ensuring our business unit ships ML to production in a scalable way that is reusable across value streams, enabling efficient model maintenance, monitoring, and lifecycle management. Combining deep technical expertise with leadership, you will set standards, uplift capability, and enable squads to deliver robust, production-grade ML systems. Key Responsibilities People Leadership o Manage and grow talent: Set objectives, conduct performance reviews, and guide career progression for the MLE sub chapter.o Foster a strong engineering culture: Promote collaboration, psychological safety, and high standards of quality and reliability.o Provide coaching and mentorship: Support technical and professional development of Machine Learning Engineers. Strategic Capability Development o Define and evolve chapter strategy: Align sub-chapter goals with chapter and organisational objectives.o Shape technical direction: Establish standards for ML engineering, deployment patterns, and MLOps.o Drive upskilling and cross skilling: Build capability in production ML, platform usage, and software engineering best practices. Technical Enablement & Platform Ownershipo Own and evolve the MLOps platform: Ensure it is reliable, secure, and scalable, in partnership with Group and Platform teams.o Enable scalable and reusable ML delivery: Ensure ML solutions for the business unit are deployable across value streams and efficient to operate.o Lead technical spikes and proof of concepts: De risk architectural decisions and explore new tools and approaches. Governance & Standards o Ensure compliance, security, architecture, and operational standards.o Define guardrails for production ML systems: Covering deployment, monitoring, retraining, and decommissioning in collaboration with Data Science. Collaboration & Influence o Partner closely with the Data Science sub-chapters and delivery team to ensure effective handover from experimentation to production.o Represent Machine Learning Engineering in strategic forums: Advocate for platforms, tooling, and scalable ML practices. What You'll Bring Bachelor's/Master's in Computer Science, Engineering, or a related quantitative field (or equivalent experience). Experience as a Senior/Lead Machine Learning Engineer delivering production ML systems at scale. Solid understanding of core data science concepts, including supervised and unsupervised learning, feature engineering, and model evaluation. Working knowledge of statistical concepts and model evaluation techniques sufficient to review, validate, and productionise data science work. Proven line management and/or technical mentorship of engineers; building capability and setting standards. Demonstrated ownership of MLOps platforms or critical ML services, including CI/CD, model serving, monitoring, and incident management. Proven ability to design, implement, and operate technical frameworks for evaluating the commercial impact of machine learning systems in production. Effective collaboration with Data Scientists across the end-to-end ML lifecycle. Experience working in Agile, cross-functional squads. Insurance or financial services experience is a plus but not essential. Technical Skills Strong Python in a machine learning engineering context, with solid software engineering fundamentals (OOP, testing, design patterns). Production ML systems: Experience deploying, monitoring, and maintaining ML models in live environments. Cloud & infrastructure: Hands-on experience with a major cloud platform (GCP, AWS, or Azure), including containerised deployments. MLOps & CI/CD: Experience with CI/CD pipelines, Git-based workflows, and Infrastructure as Code (e.g. Terraform). Operational excellence: Understanding of API operations, monitoring, logging, and reliability considerations for ML services. Data & integration: Working knowledge of SQL and integrating ML services into wider data and application ecosystems.This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high-performing sub-chapter, and influence strategic decisions, while staying close to the craft you love. You'll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward-thinking environment. Work with amazing people and be part of a unique culture If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advanced Development team at Roku pushes beyond today's product lines to invent the next generation of intelligent and generative media systems. We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices. This is a rare environment - a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps. Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision - people who challenge convention, embrace ambiguity, and build what's never been built before. It's a collaborative, low-ego, ownership-driven culture built on trust and curiosity. We're seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision - someone who thrives where research meets production. About the Role As a Senior Applied Machine Learning Engineer, you'll help design, build, and deploy the systems that make media smarter. You'll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence. You'll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment - and seeing your work directly influence how audiences experience Roku's content and advertising ecosystem. What You'll Be Doing Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services Integrating services from other teams around the company, while also providing reusable ML services to others Evaluating and providing feedback on new platform technologies provided by internal teams Working with QA teams to address bugs and contribute to automation and quality assurance We're Excited If You Have A Master's degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field Strong background developing applied machine learning systems using PyTorch or TensorFlow Expertise in image processing, computer vision, or natural language processing Experience using AWS, GCP, or Azure for storing data, training, and serving models Proven ability to evaluate models and communicate insights effectively Experience building APIs with frameworks such as GraphQL or REST Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. Group role reporting to the IT team The role will focus on AI/ML infrastructure for various group use cases from proprietary models training to efficient 3rd party tool running environments etc. This role will be working with all Group central teams (Marketing, Finance, HR, AI, IT). Role Overview You will build and maintain the high-performance infrastructure required to train and deploy AI models that impact millions of players in real-time, as well as improve productivity of everyone at Tripledot. You will serve as a bridge between the technical solutions that are created by our teams and our live game engines, as well as creating and maintaining infrastructure for internal IT needs. Within the group AI functions you'll be working with other AI / ML engineers, data engineers, analysts and product owners. Within the various studios and other central teams, you will interact with data, engineering, and product teams. Within group IT, you'll partner with Engineering, TechOps, and Security to deliver the infrastructure and tooling that powers our central business functions: gaming, finance, marketing, legal, people ops, and beyond. The first initiative you'll be taking part of is the expansion of a data/ML Platform to support ML engineers and data scientists to easily deploy their solutions, and enabling delivery of key projects like LTV and Ads Optimization. Key Responsibilities Improve and maintain a scalable, speedy and reliable data and ML platform to support AI/ML initiatives within group AI, ensuring models move seamlessly from research to production. Support group IT to provide reliable access to open source AI models and ensure safe reliable access to AI productivity tools. Create and maintain proper monitoring and alerting tools to ensure our systems can provide the correct SLA and SLOs defined by the stakeholders. Implement and advocate for engineering best practices, including CI/CD, infrastructure as code like Terraform, usage of version control, testing, observability, while keeping costs in mind. Ensure standardized cross-studio access & security to enable timely data access and ingestion (AWS and Google Cloud). Enable the teams with different environments for testing new setups, tools, without disrupting the day-to-day operations of the team and production workflows. Track usage for all our deployed applications, and identify areas of improvement, making the best use of resources. Keep up with the relevant technologies, best practices, especially related to AI productivity tools, continuously emerging in the industry. What we are looking for 5+ years in the industry as a DevOps, SRE Engineer or or Platform Engineer, ideally in gaming, mobile apps, or other high-scale digital products. Strong hands on experience with Kubernetes in production - not just running workloads on it, but operating it. Cost aware infrastructure decision making. Solid Terraform (or OpenTofu) experience, with a track record of keeping IaC sustainable as it grows. Proven experience in delivering data and AI/ML solutions in production for both AWS and a working knowledge of GCP or willingness to come to speed quickly. Bonus if this experience is within the gaming industry. Comfortable owning CI/CD pipelines with common tools (GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar). Hands on experience with cloud and Kubernetes security fundamentals, IAM/RBAC, secrets management (ex. Vault, AWS Secrets Manager, External Secrets), network policies, and integrating security checks into CI/CD pipelines. Strong instincts for observability, monitoring, and alerting, you've built dashboards and alerts that teams actually rely on, and you know the difference between a useful page and noise. Hands on with tools like Prometheus, Grafana, Datadog, CloudWatch, or similar. Solid incident response experience. The current data and AI/ML stack uses open source tools like Airflow, Trino, Spark, and Kubeflow. Familiarity with deploying these tools, as well as tweaking them for improved performance, is a bonus. Understanding of ML Ops best practices and common architectures is also a bonus. Hands on knowledge of Python and/or other scripting languages. Experience creating infrastructure for both traditional and modern agentic data intensive systems is a bonus. Focus on innovation, coupled with a mindset of continuous learning and curiosity to explore emerging AI technologies. The successful candidate will have an agile, hands on approach to prototyping and validation, and ability to Get Stuff Done in a fast paced environment. Excellent communication and collaboration skills necessary for working effectively with both technical and non technical teams. Understanding how to drive results with key business stakeholders. You will be part of a fun mobile gaming company aiming to embrace the future of AI driven creativity and exploring where the industry is moving. You will be instrumental in shaping the backbone of the AI/ML and IT systems that will power solutions that will spread throughout the whole group. You will operate in an environment that values an experimental mindset, focusing on learning opportunities and pioneering generative game creation. Working at Tripledot (in London) 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year. Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 20 days fully remote working: Work from anywhere in the world, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Recent highlights have been: Thames River Cruise, London Dungeon and Summer Parties in Regents Park. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. Life Assurance & Critical Illness Cover: Financial protection for you and your loved ones. Health Cash Plan: Benefit from a health cash plan that contributes to your medical expenses. Dental Cover: Flash your best smile with our dental cover. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program subject to policy Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Cycle to Work Scheme: Make the most of our Cycle to Work Scheme for a green and healthy commute. Pension Plan: Secure your future with our contributory pension plan.

UNITED KINGDOM, REMOTE / FULL-TIME We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems - at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self funded (although now venture backed) we are driving a huge market shift in off grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving. Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start! Extremely self motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do! Fun! We need to enjoy what we do, while still being proud about the quality of our work. Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring. Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner. Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long term technical direction of the Logiq platform and products, which provide real time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: Design and develop full stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate). Design and implement RESTful APIs and event driven systems. Maintain, extend and improve optimisation, alerting and forecasting models. Implement and maintain CI/CD pipelines. Ensure high quality code through peer reviews, automated testing, documentation and adherence to software development standards. Take ownership of the technical architecture and engineering processes. Collaborate closely with a small startup team. To thrive in this role: We expect you to: Be comfortable with variety and shifting priorities. Early stage companies require adaptability, and you'll be working across very different types of tasks. Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions. Balance quality with speed. Early stage work requires knowing when "good enough" is better than "perfect but late". Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried ?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: Full stack: Proven experience in full stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend. Cloud architecture design: Proven experience in scalable cloud architecture design. API design: Solid understanding API design (REST & GraphQL). SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases. AWS: Familiarity with the AWS Serverless stack and event driven architectures. Customer Mindset: We value engineers who have a strong product and customer centric mindset. Communication: Excellent communication and collaboration skills to explain ideas clearly. Collaborative and low ego approach: You contribute positively to team culture and work well with others. Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process. DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment. AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: Experience in developing high scalability systems Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB. Experience with integration of 3rd party systems Experience with statistical modelling, ML optimisation & forecasting Strong data analytics skills Experience in early stage start ups, consulting, or high growth environments where you've navigated ambiguity and taken initiative Experience working on (renewable) energy products or telemetry producing systems Location: United Kingdom, Remote full time . click apply for full job details