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At Intercontinental Exchange (ICE), we engineer technology, exchanges and clearing houses that connect companies around the world to global capital and derivative markets. With a leading-edge approach to developing technology platforms, we have built market infrastructure in all major trading centers, offering customers the ability to manage risk and make informed decisions globally. By leveraging our core strengths in technology, we continue to identify new ways to serve our customers and transform global markets. At Intercontinental Exchange (ICE), we engineer technology, exchanges and clearing houses that connect companies around the world to global capital and derivative markets. With a leading-edge approach to developing technology platforms, we have built market infrastructure in all major trading centers, offering customers the ability to manage risk and make informed decisions globally. By leveraging our core strengths in technology, we continue to identify new ways to serve our customers and transform global markets. ICE is seeking a Senior Data Engineer who will be responsible for design and optimise SQL queries, develop stored procedures, and participate in the migration and modernisation of legacy applications to support ICE Derivatives and ICE Mortgage. The candidate should have a strong background in SQL and scripting. • Provides Snowflake-based data warehouse design and development for projects involving new data integration, migration, and enhancement of existing pipelines., • Designs and develops data transformation logic using SQL, Snowflake stored procedures, and Python-based scripts for ETL/ELT workloads., • Builds and maintains robust data pipelines to support reporting, analytics, and application data needs., • Creates and maintains Snowflake objects like tables, views, streams, tasks, file formats, and external stages., • Participates in project meetings with data engineers, analysts, business users, and product owners to understand and implement technical requirements., • Writes technical design documentation based on business requirements and data architecture principles., • Develops and/or reviews unit testing protocols for SQL scripts, procedures, and data pipelines using automation frameworks., • Completes documentation and procedures for pipeline deployment, operational handover, and monitoring., • May mentor or guide junior developers and data engineers., • Enable real-time and batch data processing architectures that support AI-driven analytics, recommendations, forecasting, and intelligent automation., • Optimise cloud data platforms for AI scalability, including data lakehouse architectures, semantic layers, and high-performance data retrieval patterns., • Stays current with Snowflake features, best practices, and industry trends in cloud data platforms., • Performs additional related duties as assigned., • 5+ years of professional experience in data engineering or database development., • Strong Hands-on experience:, • Writing complex SQL queries and stored procedures, • Database stored procedures, functions, views, and schema design, • Using Streams, Tasks, Time Travel, and Cloning, • Proficiency in database performance tuning and performance optimisation — clustering, warehouse sizing, caching, etc., • Experience configuring external stages to integrate with cloud storage (AWS S3, Azure Blob, etc.)., • Experience writing Python/Shell scripts for data processing., • Expert knowledge of Snowflake (Tidal is an added advantage)., • Proficiency in using Git and working within Agile/Scrum SDLC environments., • Familiarity working in a Software Development Life Cycle (SDLC) leveraging Agile principles., • Excellent analytical, decision-making, and problem-solving skills., • Ability to multitask in a fast-paced environment with a focus on timeliness, documentation, and communication with peers and business users., • Strong verbal and written communication skills to engage both technical and non-technical audiences at various organisational levels., • Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience). #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As a Staff Software Engineer for the Data Enrichment Platform, you will own the technical vision for the systems that enable Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. You will shape a platform that processes petabytes of driving data, operates across large GPU fleets and supports dozens of model engineers. Working across model engineering, infrastructure, compute and data teams, you will create dependable, self-service capabilities that improve model quality while reducing cost and operational effort. • Define the technical vision and architecture for Wayve’s end-to-end Data Enrichment Platform., • Lead the development of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues., • Build scalable and reliable systems for large-scale inference, automated evaluation, model monitoring, active learning and retraining., • Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability and cost across petabyte-scale datasets and large GPU fleets., • Make effective build, buy, reuse, integrate, consolidate and replace decisions as Wayve’s requirements and the technology landscape evolve., • Establish clear technical boundaries and working relationships across AI Platform, infrastructure, compute, storage, data and model-engineering teams., • Remain hands-on while leading cross-team delivery, mentoring engineers and driving the adoption of reusable, self-service platform capabilities., • Define measurable service levels and success metrics covering platform reliability, throughput, cost, automation and adoption. In order to set you up for success as a Staff Software Engineer for the Data Enrichment Platform at Wayve, we’re looking for the following skills and experience. • Experience owning the long-term technical direction and measurable outcomes of a complex, multi-system platform or capability., • Strong production software-engineering experience in Python, including building maintainable, tested and observable backend services, APIs and data-processing systems., • Deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads., • A track record of productising internal platforms for broad adoption, with a focus on reliability, usability and self-service., • Excellent architecture and technology judgement, combined with the ability to remain hands-on and lead delivery across organisational boundaries., • Strong communication and influencing skills, with experience mentoring senior engineers and aligning multiple technical teams., • Experience with workflow-orchestration technologies such as Flyte, Airflow, Dagster or Argo., • Experience building large-scale batch-inference or ML-platform systems, including model deployment and model registries., • Knowledge of Spark, Databricks, Ray or comparable distributed-compute technologies., • Experience with annotation or dataset-catalogue platforms, including metadata, provenance, versioning, lineage and quality control., • Experience with Kubernetes, GPU infrastructure and cost-aware cloud architecture., • Experience implementing continuous evaluation, model-quality monitoring, active-learning or automated retraining workflows., • Experience designing or operating production platforms for robotics or computer-vision workloads, with an understanding of how data, annotation, inference, evaluation and monitoring fit together. Relevant workloads could include object detection, depth estimation, segmentation, tracking, sensor data or 3D models; computer-vision research expertise is not required. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. #J-18808-Ljbffr

1 week ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Job Title: Lead DevOps Engineer - SaaS Product (MS Azure) Type of employment: Permanent, Full-Time, Remote. Location: This is a remote role based either in the UK, Bulgaria or Portugal. You need to currently based in either of these locations and have the rights to work without visa sponsorship. We are unable to offer visa sponsorship for this position. About ZigZag Global We are Returns! We're an award-winning eCommerce returns business founded in 2015 by our CEO, Al Gerrie. We live to push boundaries of smarter returns, and we want a thriving retail world where every customer experience is both delightful and considered, everything we buy can be loved and re-loved and preserving our planet is part of the fabric of how we shop. Today, more than 200 companies across 130 countries use our SaaS platform to help reduce the cost, friction, and impact of returns. Part of our leading enterprise retail clients include Zara, Superdry, New Look, Boden, Selfridges, Sports Direct, The Hut Group, Swarovski, not to forget the Whitelabel partnership with the world's biggest logistics businesses like DHL, Evri, and FedEx. In March 2021, ZigZag was acquired by Global Blue, an industry leader in tax free shopping. Strengthening our reach across the global retail industry and allowing us to continue to do what we do best, help retailers manage and re-sell their returns. At ZigZag, we embody a set of values that lies at the core of our workplace culture. Our dedication to the Start-up Spirit, Human Heart and Grown-up Mindset defines our collaborative spirit and shapes our collective success. Passionate and Collaborative Minds Wanted: You'll join a brilliantly diverse group across Europe. We believe a business is strongest when its teams are both inclusive and diverse. We recognise and aim to challenge everyday biases, remove obstacles to inclusion and ensure all our people can thrive and be themselves. If you are passionate about making a positive impact, caring for both colleagues and clients, and embracing a collaborative mindset, we invite you to apply. Join us in building a workplace where every contribution matters, and each team member feels a profound sense of belonging and value. Requirements Position Overview: We are in search of a Lead DevOps Engineer who resonates with our Purpose, Vision, and Values and is eager to contribute to a team where these principles are more than words - they guide our actions. Your commitment to fostering positive relationships, whether with colleagues or customers, will help create an environment where everyone feels appreciated and valued. As a Lead DevOps Engineer joining our small, remotely distributed DevOps Team. The DevOps Team is part of, and works closely with, the wider Platform team to design, implement, maintain and support ZigZag's Infrastructure and application architecture to support and enhance the infrastructure and deployment processes of our SaaS product hosted in Microsoft Azure. Working in a dynamic environment, you'll contribute to our grown-up mindset by implementing scalable and resilient solutions. Application Support Technology Stack • Cloud Platforms: AWS, Azure, • Databases: SQL Server, MongoDB, CosmosDB, mySQL, • APIs & Integrations: RESTful APIs, GraphQL APIs, SOAP APIs, Postman, Swagger, • Scripting & Automation: Python, Bash, PowerShell Key Responsibilities: • Infrastructure Management: Lead the DevOps Team to: • Design, implement, and maintain scalable and secure infrastructure solutions on Microsoft Azure, on a hybrid environment (Window/Linux) using Kubernetes, docker, Cosmosdb, SQL Server, embodying our startup spirit of innovation and adaptability, • Manage Azure resources with a grow-up mindset, prioritizing scalability, reliability, and cost-efficiency, • Monitor system performance, ensuring the satisfaction of our users and stakeholders by proactively addressing issues and optimizing performance., • Continuous Integration and Deployment: Lead the DevOps Team to: • Implement and maintain CI/CD pipelines on Azure DevOps and ArgoCD with a startup spirit of agility and iteration, automating processes to accelerate software delivery, • Collaborate closely with development teams, embodying our grow-up mindset to optimize release cycles and improve deployment efficiency, • Ensure the human heart of our team members is nurtured by fostering a culture of collaboration, learning, and empowerment through streamlined deployment processes, • Configuration Management: Lead the team to: • Implement configuration management solutions with flexibility and adaptability, using tools like Terragrunt, Terraform, Ansible ARM, • Manage infrastructure as code, promoting consistency and reliability across environments to support our expanding operations, • Foster a human-centric approach by prioritizing ease of use and accessibility in configuration management processes, empowering team members to contribute effectively, • Monitoring and Alerting: Lead the DevOps Team to: • Implement monitoring solutions with a startup spirit of innovation, leveraging cutting-edge tools to track system health and performance, • Configure logging and alerting systems, to ensure proactive detection and resolution of issues to maintain high availability and reliability, • Prioritize the well-being of our team members by optimizing monitoring tools and processes to minimize alert fatigue and promote a healthy work-life balance, • Security and Compliance: Lead the DevOps Team to: • Implement security best practices with resilience and adaptability, protecting infrastructure and data in accordance with industry standards, • Conduct regular security assessments with a grow-up mindset, addressing vulnerabilities and ensuring compliance with regulations such as GDPR and SOC 2, • Foster a human-centric approach to security by promoting a culture of awareness and accountability, empowering team members to prioritize security in their daily activities, • Collaboration and Knowledge Sharing: Lead the DevOps Team to: • Collaborate with cross-functional teams with innovation and creativity, aligning infrastructure and deployment processes with business objectives, • Share expertise and best practices, fostering a culture of learning and continuous improvement across the organization, • Prioritize the human heart of our team members by promoting inclusivity and empathy in collaboration and knowledge-sharing activities, ensuring every voice is heard and valued What you'll need to be successful: • Bachelor's degree in Computer Science, Engineering, or a related field, • Extensive experience in a DevOps or infrastructure engineering role, • Strong proficiency in Microsoft Azure cloud services and architecture, • Experience with containerization technologies such as Docker and Kubernetes, • Good understanding on helm and GitOps tools like ArgoCD and Flux, • Proficiency in scripting and automation using languages like PowerShell, Bash, or Python, • Hands-on experience with CI/CD tools like Azure DevOps, GitHub Actions or GitLab CI, • Practical experience with Grafana, Prometheus and/0r other monitoring tools, • Solid understanding of networking, security, and compliance principles, • Excellent problem-solving and troubleshooting skills, • Strong communication and collaboration skills, with the ability to work effectively in a team environment, • Experience of motivating and leading a team of technical engineers, • We before Me Collaboration: Prioritize collective success over individual achievements, demonstrating a "We before Me" attitude in collaborative projects and team goals, • Tenacious Problem-Solving: Exhibit tenacity in addressing challenges, embodying the value of "Be Tenacious" by persistently seeking solutions and overcoming obstacles Benefits • Competitive holiday allowance, plus bank holidays + an additional day of holiday after every full year of service (up to 5 additional days), plus a bonus day off for your birthday, • Flexible working options, • Healthcare insurance (location specific), • Home office equipment budget, • Annual L&D budget and time to utilize it, • Employee referral bonus scheme, • Summer working hours, • Food vouchers (location specific), • Mental health support For a detailed breakdown of our benefits based on location please click here ZigZag Careers Page If you are interested, please send your CV in English. Your application will be reviewed with strict confidentiality. Only the short-listed candidates will be contacted for an interview. Providing your personal data, you explicitly agree that it will be processed for the purpose of recruiting and for the purpose of the possible signing of a labour contract and will be stored and operated by "ZigZag Global" EOOD in their capacity of the personal data controller and personal data processor in accordance with the effective legislation. Please have in mind that with this you give permission for your resume to be shared with other parties of the ZigZag Global Group. • Mid-Senior level, • Full-time, • Management and Manufacturing, • Non-profit Organizations and Primary and Secondary Education Referrals increase your chances of interviewing at ZigZag Global by 2x Get notified about new DevOps Manager jobs in London, England, United Kingdom. Greater London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 months ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 day ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 months ago London, England, United Kingdom 6 months ago Greater London, England, United Kingdom 4 days ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 day ago London, England, United Kingdom 1 week ago Tottenham, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 days ago London, England, United Kingdom 1 week ago Greater London, England, United Kingdom 2 days ago Windsor, England, United Kingdom 1 week ago London, England, United Kingdom 2 days ago City Of London, England, United Kingdom £75,000.00-£85,000.00 1 week ago Staines-Upon-Thames, England, United Kingdom 6 days ago London, England, United Kingdom 2 weeks ago We’re unlocking community knowledge in a new way. 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Law firms lose valuable time and revenue to billing inefficiencies. We’re addressing that. Our AI-powered solution enables law firms to successfully invoice for more of their time, reduce lawyer administration, and simultaneously improve the client experience. The market potential is huge. Legal spend in the English-speaking world exceeds £350bn and one in three e-Billed invoices is rejected — a leakage measured in tens of billions annually. A legal tech startup founded by two second-time legal tech operators, Antidote is already working with leading firms. Antidote is looking for a Software Engineer to help us scale the platform that sits at the heart of our product. You’ll join a small, senior engineering team where your code ships quickly and visibly — there is no queue between what you build and what our customers use. This is a role for someone early in their career who wants to move faster than a larger company would allow. You’ll work with the CTO and other engineers on services that ingest, interpret, and validate legal billing data at scale. Predominately working on our services layer, you will go where the work is from React our NextJS app to Terraform infrastructure changes. LLMs form a key part of our product and there will be opportunities to work across the full back-end stack from middleware, through to prompts and evals. We also expect our engineers to build with coding agents. We predominantly use Claude Code, and engineers are free to work in Cursor, IntelliJ, or another approved IDE alongside it. The important part is how you code in conjunction with AI and how you make sure you understand and guide the output. • Design, build, test, and deploy production services that process legal billing data for our law firm customers, • Build and improve LLM-powered features — writing and iterating on prompts, structuring model inputs and outputs, and handling the failure modes that come with them, • Develop evaluation suites and test datasets, • Develop and maintain APIs and integrations connecting Antidote to firms’ practice management and e-Billing systems, • Work with relational data — modelling and performance, • Own your work end to end, from ticket through code review to production and monitoring, • Contribute to planning and technical design discussions, • Use coding agents as part of your day-to-day workflow, • Investigate and resolve production issues, communicating clearly with technical and non-technical colleagues, • At least 2 years’ experience writing production code in a commercial environment, ideally in Java or Python, • Solid grounding in software engineering fundamentals — version control, code review, testing, and debugging, • Experience working with relational databases such as PostgreSQL, MySQL, or SQL Server, • Comfortable building or consuming REST APIs and integrating systems that weren’t designed to talk to each other, • Genuine interest in building with LLMs — no prior professional experience needed, but this will be a large part of the job, • Genuine appetite to learn — our stack will keep changing and we expect you to grow with it, • Clear communicator, happy to ask questions early and flag problems honestly, • Self-directed enough to make progress without daily direction, in a team without heavy process, • Right to work in the UK — we are unable to sponsor this role, • Any hands-on work with LLM APIs — OpenAI, Anthropic, or similar — or with more traditional ML such as classification, NLP, scikit-learn, or PyTorch. Commercial experience, open source, or a side project you can talk us through all count, • Exposure to evaluating model output — building eval sets, scoring approaches, or anything that turns “it seems better” into a number, • Experience working with coding agents — Claude Code, Cursor, or similar, • Exposure to cloud platforms, particularly AWS, and infrastructure-as-code tools such as Terraform, • Experience working in a startup or early-stage product environment, • Interest in legal tech, fintech, or compliance-adjacent SaaS products, • A STEM degree. Ideally a 2:1 or above in Maths, Physics or Computer Science or equivalent, • Ownership — real responsibility for services in production, far earlier than a larger company would give you, • Mentorship — close working relationship with an experienced CTO and senior engineers who will invest in your development, • Culture — realistic expectations of our team; we work hard but understand you have a life, • Transparency — at the heart of our product and a core team value; we share our vision, ideas, and are open to yours, • Training — we’ll support you to get the skills you need to excel, • Sociable — a team that genuinely gets along with a shared vision, • Vision — huge market potential, led by founders with deep legal tech expertise, • 25 days annual leave, • Pension, optional medical insurance, • Stock options based on salary The role is UK based, working from our office in Holborn two days a week with the rest of the week remote. We know that doesn’t suit everyone — if a more remote arrangement would work better for you, tell us and we’ll discuss it. What matters to us is that you can get to London regularly enough to build proper relationships with the team. #J-18808-Ljbffr

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7. As a Trading Systems Engineer, you'll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment. Responsibilities • Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks, • Troubleshoot hardware and software issues across the stack, • Design and implement system installations and upgrades, • Deploy, configure, and test internal and external applications, • Remain unfazed by production-critical issues, resolving them quickly and efficiently, • Benchmark and tune the performance of the trading stack, • Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation, • Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed Qualifications • 7+ years of relevant experience supporting a live production environment (especially trading), • Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications, • Knowledge of Debian/Ubuntu is desirable, • Proficiency with configuration management tools, particularly SaltStack - strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable, • Advanced programming experience focusing on automation and integration; Python is strongly preferred, • Advanced shell (bash) scripting experience, • Significant experience managing and debugging production trading services, • Strong cross-functional communication and organization skills, • Proven ability to manage assigned projects efficiently, ideally using JIRA, • Architect-level cloud experience in AWS or GCP is desirable, but not required This job is accepting ongoing applications and there is no application deadline. The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company's retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization - from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you. Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended. #J-18808-Ljbffr

Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams [based in London, New York, Charlotte, Atlanta, Bengaluru, Japan and remote] work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services. Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company. We are seeking a Senior Data Engineer to join our Data & AI team. You will work within multidisciplinary project teams across a range of client engagements, contributing to the design and development of robust data infrastructure, data pipelines, and scalable data solutions. You think strategically, are comfortable with open-ended data problems, and can contribute meaningfully to client conversations about data architecture, modernization, and AI readiness. The ideal candidate is technically grounded, consulting-minded, and equally comfortable navigating ambiguity, working across disciplines, and communicating clearly with stakeholders at all levels. Travel for client and stakeholder meetings may be required depending on engagement. • Design, develop, and optimize data pipelines and data infrastructure across a range of client engagements., • Contribute to data modeling, master data management, and taxonomy standardization across complex, multi-system environments., • Build and test API integrations and prototypes, including working with static data exports and mock stubs in early-phase delivery contexts., • Document data governance artefacts - data domains, critical data elements, quality rules, and data lineage - and support clients in building data governance capability., • Reverse-engineer legacy systems and extract business logic from poorly documented codebases, complex spreadsheet models, or fragmented data structures., • Collaborate with architects, designers, product managers, and client stakeholders to align data solutions with broader digital product and platform goals., • Contribute to AI readiness assessments - evaluating data coverage, quality, schema consistency, and lineage to identify gaps and support remediation., • Perform code reviews, mentor junior team members, and contribute to best practices across the Data & AI team., • Communicate data architecture and pipeline design clearly using schemas, data flow diagrams, and visual artefacts, for both technical and non-technical audiences., • 5+ years of data engineering experience, including delivery in a consulting or client‑facing environment., • Proficiency in Python and SQL for data wrangling, transformation, and pipeline development., • Experience in data modeling — designing master data schemas and drafting unified taxonomies across fragmented source systems., • Master Data Management (MDM) experience: cleansing, mapping, and standardizing inconsistent data into a governed structure., • Experience building ETL/ELT pipelines and working with cloud data platforms (AWS, Azure, or GCP)., • Experience documenting data governance artefacts and contributing to data governance frameworks., • Ability to reverse‑engineer legacy systems and extract business logic from poorly documented codebases or complex Excel/VBA models., • Strong communication skills — able to translate technical decisions clearly for both technical and non‑technical stakeholders., • Comfortable operating in ambiguity and structuring a path forward without perfect requirements., • Willing and able to ramp on new technologies as client engagements evolve., • Familiarity with Microsoft Azure services (Azure SQL, Cosmos DB, Azure DevOps)., • Experience with API mock development or prototyping in early‑phase delivery contexts., • Experience with ERP or supply chain data structures., • Experience modernizing legacy integrations (SOAP/WCF to REST)., • Database consolidation or migration experience (SQLite, MSSQL, or cloud databases)., • Familiarity with modern orchestration and transformation tools (Airflow, dbt, Dagster, Prefect)., • Background in manufacturing, engineering, or cost modelling domains., • Familiarity with enterprise integration platforms such as MuleSoft., • Experience with machine learning or predictive analytics frameworks. We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points‑of‑view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels. • Continuing education opportunities, • Flexible PTO and work‑from‑home policies, • Pension, • Health and dental benefits, • Company lunches, company outings, along with a lot of snacks, • Health and wellness programs, • Other location specific perks (just ask!) #J-18808-Ljbffr

Eeze is a leading innovator in the iGaming industry, specialising in the design, development, and delivery of live casino games. As we expand our operations in the European market, we are committed to pushing the boundaries of gaming experiences, offering cutting‑edge, immersive live casino games that are tailored to the unique needs of our clients and their audiences. Our work culture promotes collaboration, creativity, and innovation, all while encouraging a startup mindset. As a DevOps Engineer, you will play a critical role in streamlining our development processes, ensuring smooth deployments, and maintaining the resilience and security of our infrastructure. You will work closely with cross-functional teams, implementing cutting‑edge solutions to optimise software development lifecycles and ensure high availability, performance, and compliance of our platforms. This role demands a high level of technical expertise in cloud infrastructure, automation, and containerisation, as well as an ability to quickly resolve complex issues under pressure. You will be responsible for overseeing global cloud infrastructure, implementing scalable CI/CD pipelines, and managing Kubernetes clusters, among other key responsibilities. The ideal candidate will have a deep understanding of AWS technologies and experience in automating infrastructure to maintain agility in a fast‑paced environment. • CI/CD Pipeline Implementation: Architect, develop, and optimise automated Continuous Integration/Continuous Deployment (CI/CD) pipelines using industry‑standard tools (Jenkins, GitLab, Argo). Ensure pipelines follow best practices to expedite software releases, while maintaining high‑quality standards and minimizing risks., • Container Orchestration: Manage, maintain, and scale Kubernetes and Docker clusters across various jurisdictions with different regulatory requirements, ensuring that platforms remain secure, compliant, and efficient., • Infrastructure as Code (IaC): Design, automate, and manage AWS infrastructure using Terraform, adhering to infrastructure‑as‑code principles to enable fast, repeatable, and consistent provisioning of environments. Ensure cloud resources are highly scalable, reliable, and optimized for cost., • Incident Management & Troubleshooting: Serve as a third‑level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity., • Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities to increase efficiency., • Cloud Infrastructure Management: Oversee the management of global cloud infrastructure (primarily AWS) to ensure seamless integration, scaling, and resilience. Maintain services like AWS EC2, ECS, EKS, VPC, and Transit Gateways., • UAT Environment Management: Build and maintain high‑quality User Acceptance Testing (UAT) environments to ensure that pre‑production testing mirrors production environments, allowing rigorous and reliable software validation before live releases., • Monitoring & Maintenance: Perform daily monitoring and maintenance of infrastructure and services to ensure maximum availability, performance, and security. Proactively identify potential issues and implement preemptive solutions., • On‑call Support: Participate in a rotating on‑call schedule, providing expert support to resolve urgent incidents and ensure that systems are operational 24/7., • Minimum of 5 years in a DevOps Engineer or similar role, with proven experience managing CI/CD pipelines, cloud infrastructure, and containerised environments., • CI/CD Expertise: Hands‑on experience with CI/CD tools and methodologies such as Jenkins, GitLab, ArgoCD, and Nexus. Demonstrated ability to implement fully automated, reliable, and scalable CI/CD solutions., • Infrastructure Automation: Proficient in using Terraform or similar Infrastructure‑as‑Code tools to automate the provisioning, configuration, and management of cloud resources.Cloud & AWS Knowledge: Strong experience with AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus., • Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale., • Database Familiarity: Solid understanding of database systems such as Oracle, PostgreSQL, MongoDB, with an ability to optimise their integration into cloud‑native infrastructure., • Scripting & Automation Tools: Proficiency in scripting languages like Python, Bash, or similar., • Experience with automation tools like Unusable for automating infrastructure tasks., • Troubleshooting Skills: Strong problem‑solving abilities, with a demonstrated capacity to troubleshoot and resolve complex technical issues efficiently under pressure., • Collaboration & Communication: Excellent verbal and written communication skills, with the ability to work independently and as part of a cross‑functional team spanning multiple locations (Malta, London, and Romania). #J-18808-Ljbffr

London, UK Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. As a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. • Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity, • Architect, build, and productionize core components of our AI platform – including:, • LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.), • Agentic frameworks, • Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use, • Enforce technical discipline and operational excellence for all of our AI products, • Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement, • Lead the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry, • Partner with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly, • Extensive professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes, • Proven track record of owning and shipping complex, production-grade systems., • Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI, • Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team, • A strong bias for action, with a passion for shipping rapidly and iterating with feedback, • BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience, • [Preferred] Specific experience with LLMs and agentic systems, • [Preferred] Hands‑on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow, • [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs, • [Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance is a plus Our Values • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes., • Build Together - Collaborate to unlock the best solutions. Deliver lasting value., • Champion Our Clients - Exceed client expectations. Our clients’ success is our success., • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry., • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 07/31/2029 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: • Alcohol or other substance use disorder (not currently using drugs illegally), • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS, • Blind or low vision, • Cancer (past or present), • Cardiovascular or heart disease, • Celiac disease, • Cerebral palsy, • Deaf or serious difficulty hearing, • Diabetes, • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders, • Epilepsy or other seizure disorder, • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome, • Intellectual or developmental disability, • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD, • Missing limbs or partially missing limbs, • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports, • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS), • Neurodivergence, for example, attention‑deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities, • Partial or complete paralysis (any cause), • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema, • Short stature (dwarfism), • Traumatic brain injury PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete. #J-18808-Ljbffr

Converge is a climate and construction technology startup that builds AI and sensors to digitise and decarbonise concrete construction. Concrete is the most consumed material on the planet, and represents 8% of global carbon emissions. By leveraging smart sensors embedded in the material, Converge has built one of the world’s largest dataset on concrete performance. This sensor data powers new foundation models for material optimisation. Converge is backed by leading climate tech and impact investors and has raised over £40m to deliver on this mission and vision to build the future. The Role - Research Engineer Duration - Up to 6 months We are looking for a highly skilled researcher with a strong background in electrical engineering, experimental physics or related discipline to support our concrete technology team with an exciting frontier research project focused on novel methods for material behaviour characterisation. This is your chance to work on a cutting edge project with meaningful impact on the way the world measures concrete, the most used man-made material in the world. About You As a Research Engineer, you’ll contribute to: • Designing, assembling and testing an experimental laboratory setup for material characterisation., • Programming lab instruments and setups for automated material testing e.g. automating instrument control, signal acquisition, and data logging., • Conducting research experiments and iterating on experimental setups., • Scaling setups for large scale multi-instrument experiments., • Documenting configurations, experimental results, and system architecture. Requirements We are looking for a postdoctoral researcher or final-stage PhD student in electrical engineering, experimental physics, or a related discipline with: • Proven track record conducting deep research and designing experiments, • Experience designing and building laboratory setups using benchtop equipment and/or custom electronics to achieve experimental goals, • Strong familiarity with benchtop lab equipment e.g. oscilloscopes, function generators etc…, • Experience with mixed-signal electronics and circuit design, • Hands-on experience with microcontrollers, multiplexers, data acquisition, and signal processing., • Strong experience programming, scripting, and automating experimental setups for data collection (e.g. using Python, LabView or other), • Experience with large scale experimental setups which include multiple instruments working in parallel Benefits • Salary: Competitive, • A collaborative, dynamic and hybrid work environment., • An array of Convergian led clubs you can join from running to board games, and in person events throughout the year so you can have a chance to learn more about your fellow Convergians., • A fun, inclusive workplace that celebrates diversity in all its forms, and where everyone can bring their whole selves to work and be treated fairly, equitably and respectfully. Job posting details for PhD Placement Opportunity Embedded Sensing in Concrete at Converge in London England United Kingdom. . ClimateTechList gathers 9,000+ job openings from over 523 climate tech companies and updates them daily. #J-18808-Ljbffr

Role Overview A core member of Cboe's global infrastructure organization, the NOC Engineer is a highly technical, hands-on engineer responsible for supporting, operating, and improving the reliability, performance, and fairness of network connectivity across all trading platforms to include on-premises and cloud environments. This role is designed for experienced network technologists who combine deep networking fundamentals with foundational cloud engineering capabilities, modern automation, AI-assisted tooling, and software-driven operations. Cboe's network function operates as a multi-tier, customer-focused engineering team that bridges Network Engineering, Cloud Engineering, Security Engineering, Systems Engineering, and the Trade Desk. NOC Engineers provide world-class technical support while also acting as true engineers — employing complex troubleshooting, customer connectivity onboarding, real-time monitoring, incident response, change execution, and escalation management for a highly distributed, latency-sensitive global network spanning both physical infrastructure and cloud platforms. A defining element of this role is its strong emphasis on AI-enabled operations and automation. NOC Engineers actively design, build, and maintain intelligent tooling using Claude Code, Python, and APIs to modernize alerting, accelerate root cause analysis, reduce mean time to repair (MTTR), and eliminate repetitive operational work. A strong understanding of API-driven automation is a core requirement, and experience building or operating agent-based automation is considered a strong differentiator. This role is expected to contribute directly to the evolution of a next-generation, software-driven network, and cloud operations function. NOC Engineers work independently with minimal supervision, collaborate directly with customers' network engineers and internal infrastructure teams, and serve as escalation points for junior staff. Candidates must be comfortable supporting critical infrastructure during extended shifts and participating in an on-call or escalation rotation as required. Success in this role requires technical depth across routing, MPLS, firewall technologies, and packet-level troubleshooting, as well as working knowledge of core cloud infrastructure concepts (compute, networking, storage, and IAM) within AWS. Strong operational judgment, communication skills, and the ability to translate complex telemetry and packet-level data into clear, actionable outcomes for both technical and non-technical stakeholders are equally essential. This role operates on a structured shift schedule to support Cboe's global follow-the-sun coverage model. Shifts are structured on a Wednesday–Sunday or Friday–Tuesday basis to ensure overlapping regional support and continuous weekend coverage. Schedules may also adjust periodically throughout the year in alignment with daylight saving time changes across regions. Major Job Duties Customer Connectivity Engineering & Network Provisioning – 25% • Configure and deploy production network changes to edge routing, customer-facing infrastructure, and cloud network constructs (e.g., VPCs, subnets, routing tables, security groups, and transit gateways) as well as Palo Alto VPN connected clients., • Apply foundational cloud engineering practices to provision, validate, and document cloud-hosted connectivity components in support of customer onboarding and infrastructure changes., • Partner with customer network engineers and internal data center and cloud teams to test and validate trade entry and market data connectivity across on‑prem and cloud platforms., • Participate in internal and industry‑wide testing events, including scheduled weekend change windows and customer certification activities., • Support internal and external ticket queues for network and firewall connectivity requests spanning colocation, backbone, and cloud environments., • Providing advanced support and configurations of network protocols such as: BGP, OSPF, MPLS, PIM Sparse Mode, HSRP and other common networking protocols. Customer Support & Communications – 15% • Provide expert technical support and guidance to customers and sales coverage teams regarding Cboe network connectivity and access models., • Staff the NOC Hotline and manage inbound support tickets, delivering timely, clear, and professional customer communications., • Proactively communicate planned maintenance, infrastructure changes, and project milestones to affected firms., • Participate in a rotational on-call schedule to support the global trading environment during non-staffed hours. Real-Time Monitoring & Incident Response – 20% • Proactively monitor global customer connectivity, market access paths, and back-end trading infrastructure in real time during trading hours., • Analyze network telemetry, interface error conditions, packet loss, TCP retransmissions, and statistical alarms to detect and remediate issues before customer impact., • Monitor availability of public-facing Cboe services and elevate technical incidents according to defined operational procedures., • Drive rapid incident response to minimize MTTR while maintaining accurate situational awareness and communication. Escalation & Advanced Troubleshooting – 15% • Collaborate closely with Network Engineering, Cloud Engineering, Systems Engineering, internal infrastructure teams, and external vendors to diagnose and resolve advanced network, cloud, and market data issues., • Apply foundational understanding of cloud infrastructure (AWS networking, routing, security controls) to assist in scoping and resolving hybrid connectivity issues., • Lead structured technical investigations and contribute materially to incident resolution and service restoration. Automation Enhancements & Development – 15% • Design, build, and maintain operational automations using Python, API‑driven integrations, and Claude Code across monitoring, alerting, ticketing, and network telemetry systems., • Leverage cloud-native services (e.g., AWS, CloudWatch, or equivalent) where appropriate to extend automation coverage into cloud-hosted infrastructure., • Develop and maintain Grafana dashboards to visualize SNMP and telemetry data, including cloud metrics — enabling faster fault isolation and more effective troubleshooting., • Extend and finetune the monitoring stack to onboard new devices and data sources, including custom metrics, collectors, and dashboards., • Build tooling that strengthens root cause analysis, predictive monitoring, and data‑driven operational decision‑making within the NOC. Packet Analysis & Problem Management – 10% • Respond to customer multicast gap claims and complex market data integrity inquiries., • Perform packet captures and deep packet inspection using tcpdump/Corvil or equivalent platforms to analyze traffic behavior and explain observed anomalies., • Produce clear technical findings and contribute to root cause analysis and long-term problem management initiatives. The Ideal Candidate Has • A High School Diploma, GED, or technical/vocational education; Bachelor's degree preferred in Computer Science, Computer Engineering, Software Engineering, Business, Financial Services, Communications, or a related discipline, • One or more relevant technical certifications, such as:, • Cisco or AWS Associate (or higher‑level) certification, • CompTIA Network+ and/or Security+, • Corvil Certified Administrator or Expert, • Experience with API based development for Network Automations Work Arrangement • Location: London, United Kingdom (Mostly On-Site), • Type: Full-time, 6-month fixed-term contract, • Schedule: Four day in office work model; structured shift schedule on Wednesday–Sunday or Friday–Tuesday basis to support global follow-the-sun coverage #J-18808-Ljbffr

Shield AI seeks a Systems Engineer, Autonomy & Software to tackle complex systems engineering challenges for autonomous defense systems. The role sits at the intersection of systems, software, and autonomy, translating mission needs into clear requirements and architectures. You will collaborate with cross-functional teams to define interfaces and verification strategies, and to develop software components in C++ and Python while maintaining a deep understanding of autonomy and software #J-18808-Ljbffr

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: • Creating custom AI applications that will impact millions of citizens, • Generating high-quality training data for national LLMs, • Upskilling and advisory services to spread the impact of AI, • Build reinforcement learning and post-training data pipelines that power frontier model development, • Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers, • Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy, • Ship tools that accelerate the growth of new qualified contributors on Scale's platform, • Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted, • Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale, • Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy, • Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks, • Develop new AI infrastructure products to visualize, query, and explore Scale data, • Build a customer service RAG application that handles thousands of questions a day, • Integrate a cutting-edge ML model that predicts churn into a customer's retention system, • A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics), • Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating, • Previous Product/Software Engineering internship experience, • Track record of shipping high-quality products and features at scale, • Experience building systems that process large volumes of data, • Experience with Python, Typescript, React, and/or MongoDB Please reference the job posting's subtitle for where this position will be located. • Hands‑on experience with LLMs, evaluations, or agentic systems — whether from internships, research, or personal projects, • Open source contributions or a portfolio of shipped side projects Our credos shape how we make decisions and work as a team: • Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve, • Team Flow — ideas, energy, and support move freely across teams; optimize for the whole, • Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage, • Find the 20% — find the inputs that drive the outcomes and execute them completely, • Write the Market — our research puts us at the frontier, and we bring our partners there first, • Three Moves Ahead — consider the consequences of consequences, and plan accordingly PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Scale AI’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability. A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your "major life activities." If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: • Alcohol or other substance use disorder (not currently using drugs illegally), • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS, • Blind or low vision, • Cancer (past or present), • Cardiovascular or heart disease, • Celiac disease, • Cerebral palsy, • Deaf or serious difficulty hearing, • Diabetes, • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders, • Epilepsy or other seizure disorder, • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome, • Intellectual or developmental disability, • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD, • Missing limbs or partially missing limbs, • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports, • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS), • Neurodivergence, for example, attention‑deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities, • Partial or complete paralysis (any cause), • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema, • Short stature (dwarfism), • Traumatic brain injury #J-18808-Ljbffr

Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem. Our mission is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world, supporting the entire trading lifecycle. At Talos, you’ll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe every member of our team brings invaluable insights and abilities that drive Talos forward. In our pursuit of excellence, we foster a culture of trust, integrity, collaboration, and mutual growth. We are a tight-knit yet globally distributed team of highly experienced engineers and business leaders, with hubs in New York, London, Singapore, and Cyprus. You’ll be part of a hybrid-friendly environment where your unique talents and insights will play a crucial role in building something extraordinary. Talos is seeking a Technical Solutions Engineer to lead technical implementations and connectivity integrations for institutional clients and trading counterparties. This role sits at the intersection of client services and technical integration. You will manage end-to-end onboarding of exchanges, liquidity providers, and institutional clients onto the Talos platform, ensuring seamless connectivity and successful deployment of our trading infrastructure. This is not a production support role. It is an implementation-focused position requiring structured project execution, technical fluency, and proactive client leadership. Own the end-to-end onboarding process for clients and trading counterparties, from kickoff through successful production deployment. Lead technical integrations involving APIs, FIX connectivity, and platform configuration. Partner with Sales, Account Management, Engineering, and external stakeholders to deliver implementations on schedule. Manage onboarding timelines, track milestones, and communicate progress to internal and external stakeholders. Configure and validate client environments across Talos’ modular trading and portfolio systems. Troubleshoot integration issues and coordinate resolution with internal engineering teams. Develop and maintain onboarding documentation and integration best practices. 3+ years of experience in client onboarding or implementation within capital markets or financial technology. Strong client-facing communication skills with the ability to lead stakeholders through structured implementation processes. Experience working with institutional trading systems, market connectivity, or financial infrastructure. Working knowledge of SQL and command line environments. Familiarity with configuration management, source control, and basic scripting (Python preferred). Exposure to FIX protocol, REST APIs, and JSON-based integrations. Strong organizational skills and ability to manage multiple concurrent implementations. Experience onboarding clients to trading, OMS, EMS, or portfolio systems. Understanding of capital markets workflows and electronic trading infrastructure. Experience coordinating integrations across exchanges, liquidity providers, or institutional counterparties. Check out these videos and links to learn more about Talos and our culture! Spotlight Article: Talos Snapshot by DRW Podcast: 2023 episode with co-founders Anton & Ethan Website: Explore Talos: Products, Investors, Team & More Case Studies: Real world examples of client solutions Awards: Talos Wins Hedgeweek Global Digital Assets Award 2024 Culture: Award-winning, Forbes-listed, low-attrition team Andreessen Horowitz re: Talos: "The company best suited to drive institutional adoption is one that understands traditional capital markets deeply and is forward-thinking enough to fully grasp the promise of crypto. Talos is that company." You will also enjoy a comprehensive array of competitive benefits, regardless of your location, within our warm, welcoming, and ambitious company culture. Some of our benefits include: Retirement plan contributions Unlimited Vacation + a PTO bonus: Employees that take 15 days of vacation, with 5 days being consecutive, receive a $2000 USD bonus. Bonus and stock ownership Medical, dental, and vision insurance Paid parental leave for 20 weeks, after 1 year of service Global offsites and team outings A one-time stipend towards at-home office set-up for all employees A wellness credit of $50 accrued monthly, to go towards things like gym memberships, ski-passes, and work out classes. A lunch credit of $25 USD towards lunches for days in-office Donation matching up to $100 USD annually Other in-office perks: Catered lunches on Tuesdays, snacks, and drinks Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . #J-18808-Ljbffr

Associate Solutions Engineer – United Kingdom Training Location: London Year 2 location: UK–Bedfont Lakes Target Start Date: March 1, 2027 You will train alongside a diverse cohort of high‑calibre individuals from across the EMEA Region, building a rich professional network and long‑lasting friendships. This hub‑based environment provides a “safe‑to‑fail” setting where you can master your craft through AI customer simulations and mentored on‑the‑job activities. Throughout the program, you will collaborate with Cisco Associate Sales Representative(s) to provide technical solutions that drive business outcomes. You will expand your expertise across Collaboration, Security, Networking, and Cloud to bridge the gap between technical requirements and business value. You will learn from industry experts and dedicated coaches using our own leading‑edge technology. To support your growth, you will be paired with a mentor—an alumnus of the Cisco Sales Associate Program—who has successfully navigated the program. Supported by a team committed to your success, you will earn industry‑standard certifications and gain the expertise required to thrive in elite technical sales opportunities across our global organisation. The CSAP Graduate Program is a 12‑month global accelerator designed to develop high‑potential individuals into Technical Sales Champions. Built on a model of Education, Exposure, and Experience, the program offers a clear progression: • Month 1–3: Participate in immersive Bootcamp training and foundational technical skill‑building., • Month 3–12: Complete three rotational assignments for real‑world technical sales experience., • Beyond 12 months: Transition into a Solutions Engineer role to discover, demonstrate, and design solutions for complex customer challenges. Our learning philosophy prioritises experiential growth, with the majority of your development occurring through coached, real‑world practice within a hub‑based cohort of peers. This immersive approach ensures you grow and learn through direct application rather than in isolation. A key part of this Program is our AI‑First Mandate. As an Associate Solutions Engineer (ASE) in our Global Sales Enablement & Acceleration team, you will build strong AI skills by using advanced learning platforms and artificial intelligence to design technical solutions and improve strategic decision‑making. This trajectory is designed for those looking to outpace the traditional career curve! Through quarterly competency checkpoints, high‑performers can validate their skills and fast‑track into further technical roles before the program concludes. Upon successful completion of the 12‑month Early In Career (EIC) program, as a Solutions Engineer (SE) you will join our Global Virtual Engineering (GVE) team. GVE is a best‑in‑class technical presales organisation that provides software and Solutions Engineering services to customers, partners, and internal sales teams. You will discover, demonstrate, and design solutions to address complex customer challenges. • You hold a technical degree (Engineering, CS, STEAM) or come from a non‑traditional background with real‑world proof of technical curiosity—like a home lab, certification, or side project—and possess the skills to turn complexity into clarity., • Fluent in English and the primary language of the country for which you are applying., • Legally authorised to work in the country of hire without company sponsorship., • AI‑native mindset with a high degree of learning agility; passionate about networking and software (Java/Python) and eager to use AI to automate and innovate the engineering process., • High emotional intelligence with the ability to navigate a matrix‑based organization, influencing stakeholders and collaborating within a hub‑based cohort to drive team success., • Analytical resilience, capable of maintaining focus and creativity when solving sophisticated technical hurdles or translating complex requirements into tangible business value., • Confident communicator who can deconstruct “black box” technologies into simple, persuasive narratives for diverse audiences. #J-18808-Ljbffr

Stream was founded with the mission to provide fair financial tools to the everyday worker. Offered through destination employers like Greene King, Bupa, Burger King, Asda and the NHS, our award-winning platform helps over three million people to earn, learn, save, spend and borrow on their own terms, all in one smartphone app. Stream is unique: VC backed and growing at scale, but with a social conscience. Some of the world's leading impact funds were our founding investors, and we operate on a social charter, which means every product and service we create must measurably improve financial wellbeing. You’d be joining a team of over 300 passionate, ambitious people across Europe and the USA, building a category-defining product, and united by that same mission. The Financial Crime analyst role is part of our Financial Crime team. The Financial Crime Analyst is responsible for reviewing Know Your Customer (“KYC”), Anti-Money Laundering (“AML”), Transaction Monitoring and fraud due diligence checks on our customers and their transactions to ensure compliance with all applicable laws and UK regulations and to safeguard Stream against financial crime risk. The Financial Crime Analyst will report into our Financial Crime Manager and work closely with our MLRO and Compliance teams. Working with our Solutions Team and Delivery Managers to architect, develop, and test code that integrates with third-party payroll, HR and WFM systems Support the onboarding of new clients by configuring them onto existing integration frameworks Maintain and enhance the current integrations platform, driving broader system-level optimisations Within the first 6 months you’ll have developed a strong understanding of our domain, integrated multiple clients as the lead engineer, and contributed to the technical evolution of the integrations platform. The key technologies we use are Claude Code, Python, PostgreSQL, Snowflake and AWS. Minimum 2 years of KYC, financial crime or anti-money laundering experience within a Fintech or financial services firm. Knowledge of UK regulatory frameworks related to financial crime (e.g., AML, KYC, Fraud and Sanctions regimes). Experience managing transaction monitoring and screening alerts across multiple financial products (Card, Loans and Savings). Proficiency in using financial crime detection tools and software (Onfido, ComplyAdvantage, DowJones, CIFAS) and open source intelligence. Understanding of and interest in Fintech, consumer credit, savings, and financial services regulation desirable. Ability to collaborate effectively with cross-functional teams and external partners. Excellent analytical, communication and organisational skills. Ability to maintain strict confidentiality. Ability to work from our London office 3 days a week, blending with remote work. Dependent on experience and seniority, ranging from £40,000 to £55,000, plus an equity vesting schedule in one of the world's fastest growing FinTechs. 25 Days Annual Leave in addition to public holidays (up to 5 day rollover), as well as flexible time off allowances for any ad-hoc childcare/family/caring needs. 24 weeks' paid Maternity Leave and 4 weeks paid Paternity Leave for employees with over 12 months service. Special Leave for In Vitro Fertilisation (IVF) and other fertility treatments. Sabbatical scheme. Paid leave to volunteer. Private Healthcare including comprehensive mental and physical healthcare. Salary sacrifice to pension, as well as bonus exchange to Pension: reap even more rewards of any bonus by paying into your pension & save on Tax and NI + added compound growth. Enjoy savings with our electric vehicle salary sacrifice scheme. Season Ticket Loan. Access to Salary Sacrifice Schemes via ThanksBen: THE Benefits marketplace. Choose the benefits you want, when you want. Pay less tax, receive more value, including: Workplace nurseries, Cycle to Work, Home and Tech Scheme and more. The best benefit of all, access to Stream! At Stream we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Stream is an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, or veteran status. #J-18808-Ljbffr

At Firstup, our mission is to improve the employee experience at every moment that matters, large and small. As the communication pipeline for the world's workforce, we now serve 40 of the Fortune 100 companies, reaching and connecting more than 17 million employees daily. Our employees are experts in the employee experience, workforce communications and technology. Joining Firstup means joining a movement to make work better for every worker. As the world's first intelligent communication platform, Firstup meaningfully engages employees at every moment from hire to retire, and delivers engagement insights to help companies support, promote and retain their talent. Our movement has taken root and is evident in our world-class customer base. Now we need your help. Ready to make a difference in the world? The Senior Data Engineer will design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines. This role requires deep expertise in SQL, query acceleration, and applying GenAI to both engineering workflows and data/analytics interfaces. They will partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture. • Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed., • Build and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques to make data more accessible across the business., • Use GenAI coding tools and practices in daily development to improve code quality, testing, and delivery speed., • Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack., • Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support., • Support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams., • Document and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management., • Bachelor's degree in Computer Science or related field, or equivalent professional experience., • 8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines., • Experience working with and maintaining multi-tenant SaaS experiences., • Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics., • Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino., • Expertise writing, optimizing, and analyzing SQL., • Hands-on experience building and operating distributed data platforms on AWS or GCP., • Hands-on experience with streaming platforms such as Kafka and Spark., • Experience scaling data modeling and warehousing., • Proficiency in python., • Experience with Cube or other semantic layers., • Experience with scheduling tools such as Airflow., • Familiarity with the BI tool Metabase., • Proficiency in Ruby on Rails, React, or other adjacent languages. Because you care - about people, the work you do, and the connections you make. Work is such a large part of life; it only makes sense to make it awesome. If you want to engage brilliant minds in a high-growth and inclusive environment where ideas are rewarded regardless of who they come from, join us. This is a rapidly changing space so if you thrive on ambiguity, are hungry for a challenge, and have the guts to speak your mind, you could be a perfect fit. We offer an excellent PTO program, great health benefits, a casual and friendly environment, remote work, and a leadership team who truly believes in your growth - both personally and professionally. Firstup is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, protected disability, veteran status or any other protected status in accordance with applicable federal, state or local laws. #LI-TM1 #LI-Remote #J-18808-Ljbffr

About Augur Augur transforms legacy sensor systems into real-time operational intelligence. We help organisations act before threats escal… privacy-first by design. Our platform connects to existing cameras and sensors to detect threats, retrace events, and surface real‑time insights – all without replacing a single device. Augur helps teams reduce risk, cut costs, and grow revenue through better visibility, faster decisions, and fewer blind spots. Our culture is built on a foundation of radical candor and mutual trust. We recognise that being an industry leader requires more than just building exceptional products – it requires empowering a team of exceptional people. Individually, we operate with high autonomy; collectively, we’re unified by a shared drive to achieve our mission through a commitment to excellence. We're looking for a Robotics Engineer to join our growing technical team in London and take ownership of the integration of a new counter‑UAS initiative. This role sits at the intersection of robotics, machine learning and systems engineering, and you'll own the integration across all three. You'll prove out the concept, build the prototype, and take it into trials, working closely with product partners and other stakeholders along the way. The role is highly interdisciplinary, so we're less concerned with ticking every box than with finding someone motivated, curious, and willing to learn. Across the project, you'll draw on areas such as: Machine learning and computer vision Sensors and camera modelling State estimation and sensor fusion Control theory Modelling and simulation Low-level programming and hardware/software integration We don't expect you to be an expert in all of these. If you're strong in some and excited to grow into the rest, we'd like to hear from you. A degree in robotics, electrical engineering, computer science, mathematics or a related field - or another engineering background backed by hands‑on hardware/software integration work. Strong programming skills in a low‑level language (C, C++ or Rust), plus Python. A working understanding of modern computer vision, including object detection and tracking, and experience training, optimising, and deploying models for real‑time or resource‑constrained use. Hands‑on experience with state estimation and sensor fusion - using techniques such as Kalman filtering and factor graphs to combine noisy sensor data into reliable estimates - and with the problems they underpin, such as SLAM. A solid grasp of sensors and how to model them: you understand how real sensors behave, particularly cameras, and can represent them with appropriate models (e.g. camera and distortion models). Self‑directed initiative: you can take an unfamiliar problem, get up to speed through your own research, and clearly document and share your findings so others can build on them. Strong communication skills: you can explain technical work clearly and work effectively with external partners and suppliers. A working knowledge of control theory, particularly designing and tuning PID controllers for closed-loop systems. Experience developing and testing systems before committing to hardware, from numerical modelling through to 3D simulation. Familiarity with RF and RF‑based sensing, including how RF sensors and sensor arrays work. Accessibility and inclusivity At Augur, our culture is built on radical candor and mutual trust. To solve the complex, physical‑world problems our customers face, we need a team that thinks differently. Whether you’re self‑taught, have a non‑traditional background, or are returning to the workforce, if you have the grit and the experience we’re looking for at Augur, we’d love to hear from you. We are committed to fostering a diverse workplace and ensuring an accessible hiring experience - please let us know if you require any accommodations during the interview process to help you do your best work. #J-18808-Ljbffr

If you're seeking a career where innovation meets impact, you've come to the right place. As a global leader, Sovos is transforming tax compliance from a business requirement to a force for growth while revolutionizing how businesses navigate the ever-changing regulatory landscape. At Sovos, we're dedicated to more than just solving compliance challenges – we're committed to making a positive and lasting difference in everything we do. Our teams operate on the modern edge of digital technology, working not only to solve complex business challenges but also to enrich our personal, professional, and local communities. Our purpose-built systems provide the tools you need to thrive in a world where governments demand increased visibility, faster reporting and greater control over business processes. Excited about the possibilities? So are we! We're focused on hiring the right people, not just the "right" resume. It's not about what you've done elsewhere; it's all about what you’re capable of doing here. At Sovos, we're building a world-class financial data platform to support a global tax compliance leader -- and the Senior Data Engineer is the foundation it all runs on. In this role, you'll own the full pipeline stack: from ingestion through transformation, all the way to the finance‑trusted, close‑ready outputs that Financial Planning and Analysis (FP&A), Accounting, and leadership rely on to make critical decisions. You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our topline data chain, and you'll be the person the team counts on when something needs to be fixed before close. This isn't just plumbing -- it's high‑visibility, high‑ownership engineering work with a direct line to business impact. You'll also play a key role in shaping how AI consumers interact with structured financial data, treating them as first‑class stakeholders alongside finance teams. • Design and build the Snowflake schema and dbt model architecture for the topline data chain: Billing, Annual Recurring Revenue (ARR), Deferred Revenue, Revenue Recognition (Rev Rec), and Close Pack, • Deliver ingestion and transformation models with full test coverage and documentation across all assigned use cases, • Own pipeline reliability through financial close -- monitor, alert on, and recover from failures; serve as the primary on‑call escalation point, • Establish data quality standards, dbt testing conventions, and Snowflake governance patterns for the broader team, • Partner with the Analytics Engineer on business‑layer model design to ensure technical outputs map accurately to finance requirements, • Extend the dbt model layer to cover operating expenses (OPEX), cost of goods sold (COGS), commissions, and ASC 340‑40 capitalized software as scope grows, • Write dbt YAML documentation – table descriptions, column definitions, and grain statements – as a first‑class production deliverable, recognizing that documentation quality directly determines AI answer accuracy, • Own row‑level security and model freshness SLAs for real‑time AI queries, treating AI consumers as first‑class stakeholders alongside finance, • 5-8 years of experience in data engineering, with a track record of building and maintaining production pipelines and dbt projects at scale, • Advanced SQL skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi‑source financial queries, • Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers, • Snowflake proficiency: roles, warehouses, governance, masking policies, and row‑level security -- not just querying, but owning the environment, • Experience supporting financial close cycles, including on‑call ownership of pipeline failures; understands what WD1 means and why it matters, • Fluency in the revenue data chain (Billing, ARR, Deferred Revenue, Revenue Recognition, Close Pack) with the ability to engage finance stakeholders directly on data discrepancies, • Strong communication skills: able to explain technical trade‑offs to non‑technical audiences and write documentation that finance analysts can use to validate outputs, • Preferred: Experience integrating CRM/ERP systems (NetSuite, Salesforce, or similar) into a warehouse layer, including ELT patterns, API pagination, and incremental loads, • Preferred: Python for pipeline scripting and orchestration, • Preferred: Cloud infrastructure experience: Azure (App Service, Azure Active Directory (AD), Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals, • Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data, • Preferred: Background in B2B SaaS metrics: ARR, gross revenue retention (GRR), net revenue retention (NRR), churn, and deferred revenue, • Preferred: Familiarity with data governance practices: PII handling, access control, and GDPR basics, • Nice to Have: RAG architecture, hybrid retrieval strategies, or prompt engineering experience, • Nice to Have: MLOps or ML pipeline experience, • Nice to Have: Domain knowledge in compliance, tax technology, or e‑invoicing, • Due to client contractual obligations, the successful candidate will be asked to clear a background check upon hire., • 30 days holiday (plus 8 days Bank Holiday), • Health insurance, • Dental insurance, • Life insurance, • Critical illness insurance, • Income protection, • Mental wellbeing support, • Global Meeting Free Days, • Award Winning Career Development and Training opportunities, and more! Sovos is an equal opportunity employer committed to providing an environment that celebrates diversity and where equal employment opportunities are available to all applicants and employees. We do not discriminate against race, color, religions, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic provided by law. At Sovos, all employees are encouraged to bring their whole selves to work. Sovos is a global provider of tax, compliance and trust solutions and services that enable businesses to navigate an increasingly regulated world with true confidence. Purpose‑built for always‑on compliance capabilities, our scalable IT‑driven solutions meet the demands of an evolving and complex global regulatory landscape. Sovos' cloud‑based software platform provides an unparalleled level of integration with business applications and government compliance processes. More than 100,000 customers in 100+ countries -- including half the Fortune 500 -- trust Sovos for their compliance needs. Sovos annually processes more than three billion transactions across 19,000 global tax jurisdictions. Bolstered by a robust partner program more than 400 strong, Sovos brings to bear an unrivaled global network for companies across industries and geographies. Founded in 1979, Sovos has operations across the Americas and Europe, and is owned by Hg and TA Associates. For more information visit and follow us on LinkedIn and Twitter. #J-18808-Ljbffr

ExTrac is a decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight. Our ambition is to become the analytical backbone that organisations rely on when geopolitical uncertainty becomes an opportunity or a strategic risk. More at extrac.ai. We are looking for a Software Engineer to join ExTrac's AI team, building Co-Analyst and the analytical AI features around it. Co-Analyst is a user-facing multi-agent system that works alongside intelligence analysts to research and write reports. A planning loop decomposes an analyst's question, fans work out to sub‑agents, and assembles the results into a report where every claim traces back to the chunk of source it came from. Underneath sits hybrid retrieval over a large unstructured corpus: analyst intent translated into structured filters, combined with keyword and dense vector search, across multiple languages and media types. The agent work is the centrepiece but not the whole job. In a single quarter the work spans agent orchestration, retrieval, graph analytics, and long‑running streaming pipelines, alongside the services and databases underneath them. You will own well‑defined features and components end to end across a Python and Go codebase, working alongside senior engineers who set technical direction, the data team who own the ingestion pipelines, and a research‑focused ML team who train and evaluate the models we integrate and serve. The loop is short: product brings an idea, often recent and unproven, and our job is to spike an implementation and take it to a production feature. New features land close to weekly. This hire exists to add capacity on the AI team's hard problems: an engineer who can independently deliver well‑scoped features and components, and who is building towards owning more of the system end to end. Agentic and analytical AI features Build and improve components of the agent loop itself: context assembly, tool selection, and sub‑agent orchestration, with guidance from senior engineers on the team. Build the analytical AI features that sit alongside it, from network construction through to the summaries analysts read. Help prove that changes are improvements, running experiments against live analyst traffic behind feature flags. Contribute to agreeing what "better" means for a capability, and flag honestly when the evidence says a promising approach is not working. Work with embeddings as more than a retrieval concern. The same vectors drive network construction and community detection. Work within a model‑agnostic design, swapping models and embeddings on the back of the ML team's evaluations rather than being locked to one. Service design and delivery Take a well‑defined problem, clarify requirements with your lead or a senior engineer, and ship it to production with regular check‑ins rather than close oversight. Own features and components end to end within a single system, contributing to system design and architecture discussions and taking on more of the design work as you build context. Build and maintain APIs used by internal teams and customers, following established contracts and versioning conventions. Work with the storage layer as a design concern rather than an implementation detail: schema, indexing strategy, and access patterns, across relational, document, and vector stores. Production engineering Build and operate supporting services across Python and Go, with growing ownership of design, deployment, and operations as you build track record. Help hold agent workflows to production standards for latency, cost, and reliability, in a system where non‑determinism is a given. Build and operate long‑running streaming pipelines, including the caching and recovery behaviour that makes them survivable. Working with analysts, product, and the ML team Work directly with the analysts who use our products, turning what they hit in practice into changes in the system. Iterate quickly against a live stream of product requests, flagging where they collide with longer‑horizon capability work. Partner with the ML team on agentic approaches, helping take proven concepts to production and working through the engineering, performance, and reliability problems a research implementation does not have to. Help integrate and serve the models they train, and contribute to the production infrastructure their evaluation frameworks run on. You have built and worked on production backend systems, and you want to keep doing that. You will spend more of your time in Python and Go services, databases, and APIs than in a prompt file, and you know the difference between something that demos well and something that holds up under production load, latency, and cost. You can work independently on well‑defined problems, and know when to flag ambiguity or ask for input rather than guessing. When the obvious approach fails, you look for another one before escalating. You are curious about agentic frameworks and comfortable working without one. Experience with them is useful, but we build most of our own orchestration, because off‑the‑shelf abstractions have not survived our requirements around evaluation, control, and production performance. You can take a recent technique or paper, help spike an implementation, and reason clearly about whether it is worth taking further. You do not trust a change until you have measured it. Reaching for the evaluation is instinct rather than afterthought. You actively seek feedback and act on it, and you look for opportunities to pair with and learn from the engineers around you. You want to work on things that matter. Our software sits underneath decisions taken by governments, defence organisations, and institutions operating where being wrong or late carries real consequences. Grow into full ownership. Strong performance means owning larger features and whole services end to end, writing the technical designs others build on, and leading reviews rather than only taking part in them. That is the path to Senior, and it is a path we will actively work with you on. Breadth rather than a narrow track. The work follows the problem, which means agent orchestration one month and pipeline, retrieval, or infrastructure work the next. Engineers here have the opportunity to build depth across several areas rather than being funnelled into one. Work on a class of system nobody has settled yet. There are established patterns for running web services and for training models. There are none yet for operating agentic systems in production: controlling cost and latency, making non‑deterministic behaviour dependable, and knowing when a change is genuinely an improvement. You will be helping work those out, and that experience is still rare. Take on a different class of problem. Making our systems work inside FedRAMP environments is a major upcoming project, and engineering under that kind of constraint is a skill set that stays with you. Due to the nature of our work and the clients we support, applicants must be eligible to obtain UK security clearance. We are currently only able to consider applicants who are nationals of a NATO member state, Australia, or New Zealand. 2+ years of professional software engineering experience, with demonstrated ability to build and ship production‑grade services with solid test coverage, and experience owning features or components end to end within a larger system. Proficiency in building services in Python, with working knowledge of Go or the ability to pick it up quickly. Some exposure to agentic systems, LLM applications, or retrieval running in production, or clear evidence you would pick them up fast. A good understanding of distributed systems and databases, including writing asynchronous code that performs under load. Experience with cloud infrastructure and the CI/CD pipelines around it. Comfortable working with trunk‑based deployment. Comfortable being handed a symptom rather than a diagnosis. Given a suspected memory leak, you would profile it, find the cause, and fix it, asking for support when you get stuck. Able to take a well‑defined requirement and scope a technical approach from it, asking clarifying questions up front rather than assuming. You communicate clearly in writing and can produce documentation colleagues can follow, and you look for a way through rather than concluding something cannot be done. Breadth and curiosity across the stack: an interest in deployment pipelines, database behaviour, security and AI guardrails, and in validating analytical outputs and feeding analyst feedback into requirements. You pick up unfamiliar tools quickly rather than needing prior expertise in a specific one. Desirable Experience with retrieval systems and large-scale vector database performance (Elastic). Experience with graph or network analysis at scale. Experience building retrieval or analysis that works across multiple languages. Experience with infrastructure as code, streaming pipelines, and search infrastructure. Experience operating multi‑tenant systems where data isolation is a hard requirement. Experience working in compliance‑constrained environments. A significant upcoming project is making our systems work within FedRAMP environments. Initial Intro Interview with Hiring Manager - 30 Minutes Technical Assessment - 1 hour Competency‑based Interview - 1 hour Founder interview - 30 Minutes Competitive salary based on skills and experience. A generous benefits package, including Private Medical Health Insurance and enhanced pension contributions. Enhanced parental leave and a workplace nursery scheme. £500/year education budget with more expensive items (like conferences) covered with manager approval. 33 days of leave across the year inclusive of bank holidays. Flexible working. The team is typically in our central London office two days a week, and you are welcome to come in up to five. ExTrac AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. ExTrac AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing open role within our organisation. Please be advised that we may use artificial intelligence‑driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position but all hiring decisions will be made by a member of our team. #J-18808-Ljbffr

IFM Investors is a global asset manager, founded and owned by pension funds, with capabilities in infrastructure equity and debt, private equity, private credit, real estate and listed equities. Our purpose is to invest, protect and grow the long-term retirement savings of working people. We believe healthy returns depend on healthy economic, environmental and social systems - and these are evolving on a scale never experienced before. To find opportunity, build value and meet the needs of future generations, you need scale, skill and expertise. That’s what IFM Investors has built up over 30 years. With assets under management of approximately $291.1 AUD billion (at 30 June 2026), we prioritise the interests of over 883 institutional investors worldwide. IFM operates from 17 offices across Australia, Europe, North America and Asia. For more information, visit ifminvestors.com . At IFM, you’re not just part of an investment company – but an invested one. We see the work we do as the chance to take sustainable, responsible steps forward for millions of people around the world. So, we have made sure to create a workplace that’s inclusive, accountable and collaborative. Where you’re given the opportunities to make a meaningful contribution and grow your skills. All while feeling valued and supported for who you are and what you bring to the team. Along with the chance to make a meaningful, positive difference from day one, we offer a competitive salary and generous leave entitlements. Our hybrid and flexible approach can vary by team and role, it is built around trust. We encourage our people to manage their work life rhythm in a way that works best for them and their teams. Our Clients & Strategy team covers Business Development, Investor Relations, External Relations, Sustainable Investment and Brand, Marketing & Communications, including Internal Communications. It is responsible for all communications to investor prospects, existing investors and their asset consultants, as well as a broad range of other stakeholders, including governments and media. The AI Growth Engineer will sit within Marketing, Brand & Communications and work across Clients & Strategy to identify, build and scale practical AI-enabled solutions that improve client outcomes, commercial effectiveness, employee experience and operational efficiency. This is a hands‑on builder and strategist role. The role will help C&S move from AI ideas and pilots to real workflow change by partnering with teams to reimagine processes, design use cases, build prototypes and minimum viable solutions, and support adoption into day‑to‑day ways of working. The role will work across MB&C, Global Client Solutions, Sustainable Investment, Product Strategy & Innovation, Global External Relations and other relevant C&S teams. It will convert business problems into AI‑enabled workflows, using approved enterprise platforms and tools such as Microsoft Copilot, Copilot Studio, Power Platform, Power Automate, Power BI, Microsoft Fabric and other approved AI and automation tools. The role will also support the C&S AI Innovation Forum, build AI fluency across C&S, maintain a pipeline of AI opportunities and ensure AI solutions are developed responsibly, securely and in line with IFM governance, privacy, compliance and risk settings. • Experience working in AI, automation, data, digital transformation, product management, marketing technology, analytics, workflow redesign or a related field., • Proven ability to translate business problems into practical AI, automation or data-enabled solutions., • Experience building or configuring AI-enabled tools, agents, workflows, dashboards or automations using low-code, no-code or technical platforms., • Experience designing and delivering pilots, prototypes or minimum viable products in a business environment., • Strong understanding of how AI can improve business processes, knowledge management, reporting, client insight, content workflows, productivity and decision support., • Experience working with senior stakeholders to define problems, design solutions and measure outcomes., • Comfortable operating between business teams and Technology, with the ability to explain technical concepts clearly to non-technical audiences., • Strong understanding of responsible AI principles, including data privacy, bias, accuracy, governance, transparency and human accountability., • Desirable: experience in financial services, asset management, professional services or another regulated environment., • Desirable: experience with Microsoft Copilot, Copilot Studio, Power Platform, Power Automate, Power BI, Microsoft Fabric, APIs, prompt engineering, agentic AI workflows, Python or SQL., • Bachelor’s degree or equivalent experience in a relevant field such as technology, business, data, marketing, computer science, engineering, digital transformation, analytics or innovation., • Desirable: qualifications or certifications in AI, data analytics, automation, product management, agile delivery, Microsoft Power Platform, Microsoft Fabric, responsible AI or digital transformation., • C omputer science, engineering, digital transformation, analytics or innovation., • Understanding of how MB&C supports commercial outcomes, client engagement, reputation, brand positioning and business growth., • Understanding of how C&S teams create value through client relationships, product development, sustainability, market insight, communications and commercial execution., • Ability to connect AI opportunities to practical business outcomes, including improved speed, quality, consistency, client insight, productivity and decision support., • Interest in private markets, institutional investors and long-term capital., • Understanding of working in a regulated environment, including the need for strong governance, human judgement and careful handling of data., • Understanding of workflow automation and process orchestration., • Practical understanding of AI tools, large language models, prompt engineering and AI-enabled workflows., • Experience building solutions with low-code or no-code platforms., • Studio, Power Platform, Power Automate, Power BI or similar tools., • Working knowledge of Microsoft 365 and the Microsoft ecosystem, including Copilot, Copilot, • Familiarity with data quality, data governance, structured and unstructured data sources., • Ability to design, test and refine AI outputs for accuracy, usefulness and usability., • Understanding of responsible AI, including privacy, security, bias, hallucination risk, transparency and human review., • Desirable: Microsoft Fabric, APIs, data integrations, Python, SQL, vector search, knowledge bases, retrieval-augmented generation, CRM, martech and client intelligence platforms #J-18808-Ljbffr

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialized hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware‑aware AI algorithms and AI‑aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower‑level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence‑ and graph‑based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you! • Generate AI/ML ideas, design experiments, implement them & evaluate results., • Prepare, submit & present your work to AI conferences and workshops., • Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports., • Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware. Essential: • Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry)., • Python programming in a modern deep learning framework, e.g. PyTorch or JAX., • Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling., • Capable of designing, executing and reporting from ML experiments., • Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton., • Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling., • Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: • Mathematics skills to support the above: calculus, probability theory and linear algebra., • Experience submitting papers to international scientific conferences or workshops. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications #J-18808-Ljbffr

At HIVED, we’re steamrolling forward as one of Europe’s fastest growing startups, and our momentum shows no signs of slowing. At HIVED, we’re steamrolling forward as one of Europe’s fastest growing startups, and our momentum shows no signs of slowing. Based in London, we are a climate and logistics start-up building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. In an ever-growing industry where unreliable service has long been the norm, HIVED has been built from the ground-up to meet the demands of modern consumers and disrupt parcel delivery. A tech company at heart, our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers, we are constantly working to improve this customer experience that makes us deliver better. Already trusted by leading international brands such as John Lewis, Nespresso, Uniqlo, H&M brands and more, we are solidifying our position as the leaders in Europe to tackle this growing market. Our tight-knit team is made up of ex-Revolut, Bain, HelloFresh, ASOS, Apple and Google employees, and we are backed by some of Europe’s leading investors and VCs in climate-tech, logistics and mobility including Planet A Ventures, Maersk Growth, Pale Blue Dot VC, Eka Ventures, NordicNinja VC and the British government. We’re passionate about driving innovation and redefining the future of delivery. We are looking for a Lead Engineer to take ownership of one of HIVED’s highest-impact technical domains: the planning pipeline that powers supply-demand matching, parcel distribution, and routing optimisation. As part of HIVED’s Routing Squad, you’ll lead the team tackling some of the most complex and intellectually demanding problems in computer science — building systems that decide how parcels move through the city efficiently, reliably, and at scale. This is a rare opportunity to combine deep engineering expertise, optimisation thinking, and real-world domain understanding to shape a core strategic advantage for HIVED. You’ll own the technical direction of the squad, set a high bar for engineering quality, and lead a team of engineers working closely with data scientists, analysts, product, and operations. Your work will have a direct and visible impact: better routing, stronger planning capabilities, more efficient operations, and a delivery network you can see improving in the city around you. • Lead the Routing Squad across technical strategy, delivery, team leadership, and execution of squad goals., • Own the technical direction for systems supporting routing optimisation, supply-demand matching, parcel distribution, forecasting, and planning., • Translate business priorities and operational needs into clear technical strategy, measurable outcomes, and pragmatic execution plans., • Guide architecture and system design for scalable, reliable, production-grade optimisation and planning systems., • Work closely with optimisation engineers, backend engineers, data scientists, analysts, product, and operational stakeholders to turn complex problems into shipped solutions., • Lead the exploration and evaluation of new approaches across routing, scheduling, optimisation, forecasting, and distributed systems., • Set and uphold a high engineering bar through technical reviews, architectural guidance, mentoring, and accountability for maintainable software., • Manage, coach, and develop engineers in the squad, including hiring, performance management, development planning, and resourcing., • Foster a culture of curiosity, ownership, high performance, and continuous learning within the team., • 5+ years of software engineering experience, including backend or distributed systems development., • Experience leading engineers, either as a people manager or as a senior technical leader with meaningful ownership over team delivery., • Proven ability to translate complex, ambiguous business or operational problems into robust technical solutions., • Strong system design and architectural skills in distributed, production-grade environments., • An appetite for hard optimisation problems — especially routing, scheduling, forecasting, supply-demand matching, or other constraint-heavy domains., • Strong analytical thinking and the ability to combine technical depth with practical judgement., • A track record of setting high engineering standards and helping teams consistently meet them., • Experience working cross-functionally with product, operations, data scientists, analysts, and senior leadership., • Strong ownership mindset: you care about the strategy, the system, the team, and the real-world outcome., • Experience with routing, scheduling, optimisation, forecasting, logistics, mobility, or marketplace systems., • Experience productionising algorithms, solvers, models, or data-heavy decision systems., • Familiarity with optimisation techniques such as linear/integer programming, constraint programming, heuristics, or solver-based approaches., • Experience working in a fast-scaling operational environment where software has a direct physical-world impact., • Backend languages: Python, Go, • Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB, • Data tooling: GCP, BigQuery, Looker, Looker Studio, • Observability: Loki, Tempo, Grafana, Prometheus, • Event-driven architecture and domain-driven design, • Intro call with the hiring manager, • Live coding challenge solving a problem, • A take home case study, followed by a discussion, • On-site interview at our Shoreditch HQ (role and culture), • We Are Kind - Kind to the planet, our team and our partners. We listen with purpose, leave our egos at the door and aren't afraid to make difficult decisions. We must never confuse kindness with being "nice" - it requires us to be fair, consistent, honest, thoughtful and compassionate., • We Are Tenacious - We fight every day to keep the customer promise, for every parcel entrusted to us. No matter how hard it gets or whatever stands in our way, we are relentless in our pursuit of excellence., • We Are Curious - We never settle, constantly challenge convention and are never afraid to ask why. We believe there is always more to learn, always a better way, and that we're always only just getting started. We never fight the urge to be inquisitive, to understand the world around us and to explore where others might not., • We Are Resourceful - Our planet's resources are scarce and our future depends on our ability to use them wisely. Waste is the enemy. We strive to do more with less, be more efficient and make the most of what we have., • Dynamic hybrid working environment with a diverse and driven team, • Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role, • 25 days of holiday allowance plus public holidays, • 1 Birthday Day Off + 2 Tenure-Based Additional Days Off, • Subsidised Private Medical Insurance including dental, vision & mental health therapy, • Bi-annual performance reviews and tailored development plans, • Competitive salary + EMI options scheme, • Annual compensation review, • Team lunch provided once a week, • Quarterly team socials and annual sports day (HIVED Olympics), • Enhanced maternity/paternity/adoption policy as day 1 right, • Community volunteer days, • Cycle to work scheme, • Dog friendly office and depots, • MacBook Air or Windows Laptop (depending on your preference), • Meet the team in 60 seconds: Behind the scenes with HIVED, • HIVED is B Corporation certified, • HIVED is #7 on The Sunday Times Tech 100, • Read how HIVED raised $42M to transform parcel delivery with AI and all-electric logistics network, • Check the Impact Reports for 2024 and 2025, • Keep up with HIVED here #J-18808-Ljbffr

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. We are building out the next generation of our proprietary electronic trading platform — a greenfield, event‑based trading and market data system covering pricing, execution, and risk management — and we are looking for a senior C++ engineer to help lead that effort. You will design and build the systems our trading desks depend on every day: ultra‑low‑latency execution engines, market data pipelines, order and risk management, and direct connectivity to the world's major futures and commodities exchanges. This is a hands‑on senior role on a small team with broad ownership across the trading stack — the code you write goes to production and trades real markets. • Lead the design, implementation, and deployment of DV Commodities' core C++ trading platform: execution, order management, market data, pricing, and risk., • Design and maintain direct exchange connectivity — order entry gateways and feed handlers for venues such as CME (iLink 3 / MDP 3.0), ICE, and other futures and commodities markets., • Drive microsecond- and nanosecond-level performance work: lock‑free data structures, cache‑aware design, kernel‑bypass networking, CPU pinning and NUMA tuning, and rigorous latency measurement., • Work directly with trading desks on new feature requests, pricing, and execution algos, and with quants and developers on cross‑functional teams to troubleshoot and solve complex problems., • Build high‑performance components for both simulation and live trading., • Own systems end to end — design, implementation, testing, deployment, and production support in a live trading environment., • 7+ years of professional C++ development, with deep command of modern C++ (17/20), templates, move semantics, memory models, and concurrency., • Proven experience building low‑latency, high‑throughput, multi‑threaded systems for quantitative trading — ideally at a proprietary trading firm, market maker, hedge fund, or exchange., • Strong knowledge of how exchanges work: order types, matching engine behavior, market micro‑structure, and native exchange protocols (e.g., iLink/MDP, native ICE, FIX/SBE)., • Direct experience with futures and/or commodities markets; energy markets (crude, refined products, natural gas) and swaps a strong plus., • Systems‑level fluency: Linux/Unix environments, git, TCP/UDP and multicast networking, kernel‑bypass stacks (Onload, VMA, DPDK, or similar), and performance profiling., • Experience with distributed systems, large data sets, and SQL, NoSQL, or tick databases., • Ability to program in a scientific computing environment (Python/NumPy/pandas) for research and tooling., • Strong verbal and written communication skills; sound judgment in production trading environments., • Bachelor's degree or higher in CS, Engineering, or another technical discipline, or equivalent practical experience. DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

A leading global asset manager, responsible for assets under management across energy, precious metals, agriculture, FX, absolute return, multi-asset and specialist investment strategies. Are looking to hire an Infrastructure engineer to work within their current desk support team. As an infrastructure engineer, you will support the day-to-day operation and evolution of a large-scale enterprise infrastructure environment. The role sits within a technology team responsible for maintaining a hybrid infrastructure estate spanning Azure cloud services, Microsoft enterprise platforms, and on-premise VMware environments. You will play a key role in ensuring the stability, performance, and scalability of the infrastructure that supports multiple front-office teams, while also contributing to longer-term infrastructure initiatives such as data centre migration and modernisation projects. The Infrastructure Engineer will be responsible for supporting the day-to-day operational running of a large enterprise infrastructure environment, working across both Azure cloud platforms and on-premise infrastructure. As an Infrastructure Engineer, the role will involve provisioning and managing infrastructure for multiple front-office teams, ensuring environments are reliable, secure, scalable, and aligned with business requirements. The Infrastructure Engineer will maintain and support a large Azure environment, including identity management, authentication services, and enterprise applications, while working extensively across the Microsoft technology stack, such as Microsoft 365, Exchange, and Entra ID (Azure Active Directory). A key responsibility of the Infrastructure Engineer will be monitoring system performance metrics such as CPU utilisation, disk capacity, and overall infrastructure health, ensuring optimal uptime, stability, and operational efficiency. The Infrastructure Engineer will also contribute to ongoing infrastructure improvement initiatives, including a strategic data centre migration to an externally managed environment, helping to modernise the infrastructure estate while reducing operational overhead. Working closely with internal technology and network teams, the Infrastructure Engineer will ensure that infrastructure services continue to support critical applications, business operations, and long‑term technology strategy. 📍Closest station - Tower Bridge station, Three days a week 💰 Up to £85,000 base salary per annum + bonus • Three to five years of experience working in the infrastructure environment, • Experience with scripting and automation using PowerShell and/or Python, with the ability to develop scripts to support infrastructure management, automation, and operational efficiency across cloud and on-premise environments, • Experience supporting enterprise infrastructure environments across Azure and VMware, • Strong understanding of Microsoft enterprise platforms and identity services, • Knowledge of infrastructure performance monitoring and capacity management, • Ability to work across BAU operational support and infrastructure improvement projects If you are interested in this Infrastructure Engineer role, please apply with your recent CV or reach out to me directly on #J-18808-Ljbffr

At the company, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! We're seeking a Senior Data Engineer to work across the full stack of the company AI applications. You will build transformative AI capabilities from the ground up, from model integration and prompt engineering to contributing to the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems. You will build user-facing AI features that can be used in real-time, directly impacting how businesses plan and make decisions. This role requires both a strong foundation in machine learning and excellent data engineering skills, offering a unique opportunity to grow at the intersection of AI and enterprise software. • Contribute to the data architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production environments., • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments., • Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering and RAG implementation., • Design and build the retrieval and knowledge layer powering our RAG and agentic workloads, such as vector databases, graph databases, knowledge graphs, hybrid search, and embedding pipelines., • Help design the knowledge graph that captures the semantics of customer models, metrics, hierarchies, and relationships., • Build the data plane for evaluation and continuous improvement, working with cutting-edge conversational and agentic AI technologies., • Engineer the feature and context pipelines that feed forecasting and anomaly-detection models at customer scale, balancing batch and streaming patterns., • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics., • Extensive data engineering experience with a track record of delivering complex projects., • Hands‑on experience building and shipping AI/ML products in production., • Practical experience with LLM‑based systems: RAG architectures, embedding pipelines, prompt and response logging, and evaluation frameworks., • Hands‑on expertise with vector databases, graph databases, and knowledge graphs., • End‑to‑end exposure to the model development lifecycle, including experience training and deploying ML models in production environments., • Solid knowledge of LLM APIs, prompt engineering, and conversational AI patterns., • Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments., • Proficiency in Python and modern software development practices (testing, code review, CI/CD)., • Hands‑on experience with cloud‑native ML infrastructure platforms., • Knowledge of vector databases (e.g., Pinecone, Weaviate, Qdrant) and embedding models., • Experience with model serving frameworks (e.g., vLLM, TensorRT, Ray)., • Background in forecasting, planning, or analytics applications., • Experience with A/B testing and experimentation frameworks for AI features., • Experience with model observability tools (e.g., LangSmith, W&B, MLflow). We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of the company. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. the company does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person., • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from the company would come from an ----- email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of the company, please send an email to ----- before taking any further action in relation to the correspondence. Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications. #J-18808-Ljbffr

We're looking for a Senior Software Engineer to join Wayve's Data and Orchestration team in London, working on the platforms that power our data engineering, orchestration and inference workflows at scale. This team builds the infrastructure that enables partner teams to ingest, process and transform high-volume data from external vendors, vehicle fleets and customer programmes, while ensuring systems are reliable, efficient and easy to use. A key focus for the role will be the evolution of Wayve's data pipeline platform, including the revamp of our existing Harness system and the development of a new DAG-based orchestration system designed for our vehicle fleet's next generation data volumes. You'll have the opportunity to help shape foundational infrastructure used across the company, supporting high-priority data runs, batch inference, evaluations and business-critical incident response. • Design, build and evolve scalable data pipeline and orchestration infrastructure for Wayve's next-generation autonomous driving data platform, • Contribute to the revamp of the existing Harness system and the development of a new DAG-based workflow platform, • Build tooling and libraries that make data ingestion, processing, inference and evaluation workflows simple, reliable and consistent across teams, • Ensure the platform can run hundreds of parallel pipeline steps efficiently, with correct outputs, no conflicts and effective resource prioritisation, • Support batch inference and performance optimisation workflows, helping teams run evaluations in a cost-effective and scalable way, • Improve platform reliability, quality and usability, including incident response workflows aligned to business-defined SLOs, • Collaborate with partner teams to understand their pipeline requirements and provide the underlying infrastructure that enables them to move quickly In order to set you up for success as a Senior Software Engineer in Data and Orchestration at Wayve, we're looking for the following skills and experience. • 7+ years of professional experience in software engineering or a related technical field., • Strong software engineering fundamentals, with experience designing, building and maintaining production-grade systems., • Solid Python programming skills, • Good understanding of software engineering best practices, including unit testing, integration testing, test-driven development and data-driven development, • Experience working with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing, • Familiarity with distributed event streaming platforms such as Apache Kafka, • Understanding of database principles and consistency models, including concepts such as eventual consistency, strong consistency and distributed data systems, • Familiarity with traditional databases or data warehouses such as Postgres, ClickHouse or column-oriented databases, • Experience in data engineering, data platforms, workflow orchestration or pipeline infrastructure, • Experience with machine learning infrastructure, inference systems or ML performance optimisation, • Exposure to large-scale batch processing, compute scheduling or resource prioritisation, • Experience with tools or frameworks such as Ray, Flyte or Spark, • Experience building shared libraries, developer tooling or internal platforms used across multiple teams #J-18808-Ljbffr

Mimica is an AI-powered process intelligence platform enabling enterprises and individuals to reclaim their most precious resource: time. We've all seen repetitive tasks and redundant processes quietly drain productivity and creativity. Not because companies don’t want to become more efficient, but because they don’t know where to start. At the click of a button, Mimica identifies every process improvement and agentic AI opportunity across an enterprise. Our software turns everyday work into data-backed decisions, helping companies remove process bottlenecks, automate the right tasks, and upskill teams with precision and confidence. We’ve raised $26 million in Series B financing and are scaling fast. Backed by investors including Khosla Ventures and Paladin Capital, our proprietary AI technology is trusted by Fortune 500 companies to accelerate transformation. Mimica is recognized as a Top 100 AI Start-up by Accel and an industry Leader by the Everest Group. Behind our platform is a team of exceptionally talented people, remote-first and globally distributed across 16+ countries. We're looking for curious, collaborative people excited to solve complex problems. You'll join a fast-paced environment built on high ownership, bottom-up thinking, and transparent, open communication – helping some of the world's leading organizations transform the way work gets done with AI. We’ve achieved strong product-market fit and are now scaling with intention. You’ll join a 45-person team of Senior+ engineers and Product leaders who prioritise product impact over mere headcount. We have 8 cross-functional teams, including a dedicated Platform team focused on infra & developer experience. We started building proprietary ML before the LLM boom, so we don't just consume models - we train them from the ground up. We prioritise customer needs first We work in small, project-based teams We have flexibility in terms of the problems we work on We own the full lifecycle of our projects We avoid silos and encourage taking up tasks in new areas We balance quality and velocity We have a shared responsibility for our production code We each set our own routine to maximise our productivity In this role, you will own and support the development of backend systems that interface with ML models. You will build apps and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services. We are currently looking for Engineers to join one of our teams: Maker Team , a team responsible for building out the automation engine, as one of its founding members. We're building a new product from scratch, and that means being a part of the design of its architecture, experimentation, and development. Miner Team , whose goal is to enable rapid and accurate labelling and segmentation of data in the Miner product through automation and ML methods. You will support the automation and scalability of the existing ML systems that back up our Miner product. Data Intelligence Team , whose goal is to provide ML-enriched data for downstream tasks and ensure user data privacy. You will support our data orchestration and processing pipeline, as we build with scalability in mind. In all cases, we're looking for a Lead/Staff-level engineer to join the Python Chapter, who will have the opportunity to shape our technical direction, architecture, processes, and culture, and to level up the team and Chapter in development practices. Write Python applications that are resilient, robust, and integrate well with other apps in aservicearchitecture. Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test Developing observability for new and existing ML applications and GenAI/LLM integrations , making use of the Grafana Stack (Prometheus, Loki, Tempo) Develop integrations and services that communicate with Google Services. Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models Being responsive to incidents regarding ML applications - including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU utilisation Documenting procedures and guides to facilitate knowledge sharing and help other engineers level up through pairing and mentoring Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow. At least 8 years of experience and above as a Software Engineer, and previous Lead/Staff/Principal level of responsibilities. Strong proficiency with Python and Backend-Engineering Strong experience with async/concurrent programming Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring Strong skills in building maintainable tests Strong experience with observability and tracing. Knowledge of best practices for performance optimisation, memory management. Experience mentoring others, especially in good software development practices, patterns, and fundamentals. Drive to continually develop your skills, improve team processes and reduce technical debt. Fluency in English and ability to effectively communicate abstract ideas, complex concepts and trade-offs. Having been a founding/early member of an Engineering team Experience working within a fast-growing Scale-up environment – delivering value quickly and iteratively Experience with GCP You're not a Junior or Mid-level engineer. While we value mentoring, coaching, and curiosity, at this stage, we're looking for Senior+ Engineers to help lay a solid foundation before expanding to junior engineers. You use Python, but you're not familiar with its fundamentals. In this role, we're looking for people who can set standards, have seen good practices and can explain and defend technical options. You don't have experience with complex architectures. We have a high technical bar, as we're building with scalability in mind, so this role would not be a good fit if you have a shallow understanding of architecture and networking of data-intensive applications. Stage 1 | Recruiter Screen with Technical Recruiter Stage 2 | Take-home Challenge (async) + Follow-up (Live) - with Engineering Manager + colleague in an equivalent role Stage 3 | System Design (Live) - with Engineering Manager + someone you'd work closely with. Stage 4 | Founders/Behavioural Interview - with TL + Co-founder/CTO This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas within a UTC-7 to UTC+3 timezone. Generous compensation + stock options - aligned with our internal framework, market data, and individual skills. Distributed work: Work from anywhere - fully remote, in our hubs, or a mix. Company-issued laptop, remote setup stipend, and co-working budget Flexible schedules and location Ample paid time off, in addition to local public holidays Enhanced parental leave Health & retirement benefits Annual learning & development budget Annual workaways and regular virtual & in-person socials Opportunity to contribute to groundbreaking projects that shape the future of work Note : Some benefits may vary depending on location and role #J-18808-Ljbffr

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas. As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role G-Research is a fast‑growing, software‑driven organisation where data is at the heart of everything we do. We are looking for an experienced Database Platform Engineer to join our Data Services team. In this role, you will help design, build and operate the mission‑critical database platforms that underpin research, a global platform and business operations. This role focuses on providing highly available, performant and secure data services. Our environment spans multiple database technologies – PostgreSQL, Microsoft SQL Server, MySQL, and CockroachDB – deployed across both on‑premises infrastructure and the cloud (AWS). The role is highly collaborative, working with research and engineering stakeholders to deliver performant, resilient and secure database services at scale. • Building, operating and scaling distributed database services across on‑premises and AWS environments, • Supporting large-scale deployments of PostgreSQL, Microsoft SQL Server, MySQL and CockroachDB, ensuring high availability, disaster recovery and performance, • Contributing to the design and implementation of automation for database provisioning, upgrades, replication and monitoring using Python, Ansible and Terraform, • Driving improvements in performance tuning, query optimisation, indexing strategies and storage design, • Collaborating with application and research teams to design and deliver database solutions that meet demanding scalability and latency requirements, • Participating in the out-of-hours rota to provide support for critical systems, • Staying up to date with industry trends and emerging database technologies, helping evaluate their applicability, • Defining SLAs, KPIs and monitoring strategies to ensure platform reliability, security and service excellence, • Proactively identifying and resolving stability, security and capacity issues across the platform, • Strong experience with relational database platforms such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar, • Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning, • Hands‑on experience running databases at scale, • Proficiency with Linux and Python for automation, • Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar, • Experience deploying and running services in containerised or Kubernetes environments, • Understanding of AWS services relevant to data platforms such as RDS, Aurora, S3, EC2 or EKS, • Familiarity with modern observability stacks such as Prometheus, Grafana, Elk or OTel, • Desirable: experience with cloud‑native and distributed SQL databases such as Aurora, YugabyteDB or TiDB, • Desirable: knowledge of data streaming and integration tools such as Kafka, Debezium and CDC pipelines, • Desirable: experience with security and compliance in database environments, covering encryption, auditing and RBAC, • Desirable: familiarity with DataOps practices and collaboration with Data Engineering teams, • Highly competitive compensation plus annual discretionary bonus, • Lunch provided (via Just Eat for Business) and dedicated barista bar, • 35 days’ annual leave, • 9% company pension contributions, • Informal dress code and excellent work/life balance, • Comprehensive healthcare and life assurance, • Cycle‑to‑work scheme, • Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas‑driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world‑beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment. #J-18808-Ljbffr

• Must hold active clearance – SC or MoD DV, • Up to £95k DoE plus bonus, • 4 days on site in Brentford – future expensed travel to client site in Cambridge, • Strong experience across MLOps, ML infrastructure and production AI systems We are recruiting a Senior AI/ML Engineer with strong MLOps and ML infrastructure experience for a highly technical AI organisation delivering advanced computer vision and machine learning technologies across Defence, Security and other high-performance environments. You’ll work alongside AI researchers, software engineers and technical leadership to take cutting-edge machine learning research from R&D through to reliable, production-ready systems. The role offers the opportunity to work on challenging AI applications deployed across both large-scale cloud environments and edge platforms. You will design, build and maintain the infrastructure that powers advanced AI systems from research through to production. You’ll develop distributed training pipelines, build ML lifecycle infrastructure, optimise models for deployment and support reliable AI systems across cloud and edge environments. • Strong Python/PyTorch and ML infrastructure experience, • Experience with distributed ML training using Ray, DeepSpeed or PyTorch Lightning, • Strong MLflow, model registry and ML lifecycle experience, • Experience with TensorRT, ONNX, quantisation and model deployment, • Strong Docker, CI/CD and GitHub Actions experience, • Experience with Prometheus/Grafana monitoring and production observability, • Cloud/edge AI deployment, with NVIDIA Jetson/DeepStream highly desirable, • Knowledge of Kubernetes, Kubeflow, Metaflow and Kafka advantageous, • Computer vision, aerial/satellite/ISR experience highly beneficial MLOps / MLOps Engineer / ML Infrastructure / ML Platform / AI Engineer / Machine Learning / ML / Python / PyTorch / Ray / DeepSpeed / PyTorch Lightning / MLflow / TensorRT / ONNX / Docker / Kubernetes / CI/CD / GitHub Actions / Prometheus / Grafana / Metaflow / Kafka / NVIDIA Jetson / DeepStream / Edge AI / Computer Vision / Deep Learning #J-18808-Ljbffr

Experience: 1–3 years of relevant experience through internships, academic projects, research, freelance work, or professional roles Location: [Location / Hybrid / Remote] Reports to: Agentic AI Architect / Senior Forward Deployed AI Engineer NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners—uniquely focused on enabling enterprises to adopt AI they trust and that delivers lasting business value. NewRocket is also a proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls. As an early-career AI Engineer at NewRocket, you will have the opportunity to learn and apply these emerging enterprise AI practices while helping build practical solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, and business workflows. We #GoBeyondWorkflows to create new kinds of experiences for our customers. NewRocket is seeking a hands‑on AI Engineer – Campus and Graduate Level to support the design, development, testing, and deployment of AI‑enabled solutions for enterprise clients. This role is ideal for an early‑career engineer with foundational experience in software development, data, and generative AI who is eager to work on practical, high‑impact applications of AI—including Claude‑powered applications, agentic workflows, intelligent automations, retrieval‑augmented generation (RAG), and ServiceNow‑based solutions. You will work closely with AI engineers, product managers, data scientists, platform teams, and client‑facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use‑case discovery and proof‑of‑concept development through production rollout, evaluation, monitoring, and continuous improvement. Travel to clients and conferences as needed. • Assist in building, testing, maintaining, and documenting AI‑enabled applications, workflows, and reusable accelerators., • Develop prototypes and proof‑of‑concepts using generative AI, large language models (LLMs), including Claude and other model providers as appropriate, RAG, APIs, and workflow automation tools., • Support the development of agentic AI solutions that can use enterprise context, call approved tools or APIs, and help orchestrate enterprise processes., • Assist with prompt and context engineering, including instruction design, examples, structured inputs, response formatting, and output constraints., • Help build AI applications using structured outputs, tool use/function calling, human‑in‑the‑loop review, and workflow orchestration patterns., • Help integrate AI capabilities with enterprise platforms, including ServiceNow, where applicable., • Write clean, maintainable, secure, and well‑documented code following engineering best practices., • Support data preparation, document ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing activities for AI solutions., • Assist with RAG solutions that ground AI responses in authorized enterprise knowledge sources and data., • Help assess model and workflow performance across accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience., • Assist with the development of test cases, evaluation datasets, monitoring approaches, and feedback loops for AI applications., • Support techniques that improve reliability and user trust, such as output validation, citation or source‑grounding patterns, fallback handling, confidence thresholds, and escalation workflows., • Identify issues, document findings, and contribute to iterative improvements across AI prototypes and production solutions., • Apply responsible AI principles in the development and testing of AI solutions, including awareness of model limitations, hallucinations, bias, privacy, and appropriate human oversight., • Help implement safeguards for sensitive data, access controls, authorized data use, prompt‑injection risks, and unsafe or unintended tool execution., • Support human‑in‑the‑loop workflows for sensitive, high‑impact, low‑confidence, or exception‑based AI decisions., • Document solution behavior, known limitations, test results, and operational considerations for internal teams and client stakeholders., • Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams to translate business needs into technical solutions., • Participate in requirements gathering, solution‑design sessions, sprint planning, code reviews, and retrospectives., • Support client‑facing teams with technical research, demos, proof‑of‑concept development, and implementation activities., • Communicate technical concepts, solution behavior, and findings clearly to both technical and non‑technical stakeholders., • Contribute to internal documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge‑sharing sessions., • Stay current on emerging AI technologies, frameworks, Anthropic and Claude capabilities, and enterprise use cases., • Complete relevant Anthropic training, partner enablement, and technical education opportunities as available through NewRocket’s partnership., • Research opportunities to apply generative and agentic AI to improve operational efficiency, employee experiences, customer service, knowledge management, and enterprise workflows., • Contribute ideas for new AI capabilities, reusable intellectual property, Agent Packs, accelerators, and product enhancements., • Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline., • 1–3 years of relevant experience through internships, co‑ops, research, freelance work, academic projects, or professional roles., • Experience with one or more programming languages, preferably Python, JavaScript/TypeScript, Java, or similar languages., • Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud‑based applications., • Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts., • Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation., • Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services., • Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment., • Strong problem‑solving skills, curiosity, attention to detail, and willingness to learn in a fast‑paced environment., • Ability to communicate technical concepts clearly to both technical and non‑technical stakeholders., • Experience building AI, automation, chatbot, workflow‑based, or data‑driven projects through coursework, research, internships, hackathons, or personal projects., • Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude‑focused implementation guidance., • Experience using LLM APIs to build conversational AI, document‑processing, summarization, search, knowledge‑assistant, or workflow‑automation applications., • Understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool use, or human‑in‑the‑loop workflow design., • Familiarity with ServiceNow, including platform development, workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer., • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud., • Familiarity with Model Context Protocol (MCP) concepts, secure API integration patterns, or connecting AI applications to enterprise tools and data sources., • Experience working in an agile software‑development environment., • Interest in enterprise consulting, digital transformation, and applying AI to real‑world business challenges., • Hands‑on experience building enterprise‑grade generative and agentic AI solutions, including Claude‑powered applications where appropriate., • Exposure to Anthropic‑aligned practices for prompt and context engineering, RAG, tool use, structured outputs, model evaluation, and responsible AI., • Experience across the end‑to‑end lifecycle of AI product and solution development—from discovery and prototyping to deployment, monitoring, and continuous improvement., • Mentorship from experienced AI, engineering, product, ServiceNow, and consulting professionals., • Opportunities to contribute to client‑facing proofs‑of‑concept, reusable AI accelerators, Agent Packs, and production implementations., • A strong foundation for a career in AI engineering, software development, data science, enterprise technology consulting, or AI product development. NewRocket is committed to a diverse and inclusive workplace.We value and celebrate diversity, believing that every employee matters and should be respected and heard.We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.For individuals with disabilities who would like to request an accommodation, please contact . #J-18808-Ljbffr

Salary: up to 65,000 GBP year/gross (depends on the seniority level). Monta powers the EV charging ecosystem. With 300,000+ monthly users and millions of charge sessions every month, our platform accelerates the electrification of mobility. This is a fast-moving place. The problems are hard, the pace is quick, and the bar is high. If you like real ownership, figuring things out, and seeing the direct impact of your work, you'll do well with us. AI is built into how we work. It helps us ship faster, make better decisions, and stay lean. Everyone at Monta is expected to use AI tools thoughtfully - and to find smart ways to use them to move the work forward. Our principles keep us grounded: Build Together & Finish, Sweat the Details, Customer First, and Aim for the Moon. The best part of Monta is the people - sharp, ambitious, and good to be around. You'll be challenged, supported, and trusted to deliver. We're looking for a GTM / Sales Operations Engineer who’s ready to roll up their sleeves, take ownership, and build with us - through the grind and the wins. We don't need someone to keep our CRM tidy. We need someone to build the machine underneath our go-to-market. You'll own end-to-end GTM execution, from the moment a lead or signal lands, through routing, enrichment, and sales handoff, all the way to quote-to-cash, building the connected system that turns demand into revenue. Our Marketing Ops team is strong and owns the demand-generation engine; you'll partner with them at the handoff, not rebuild what they run. Keeping the stack healthy is table stakes. Inventing what runs on top of it is the job. If your instinct when you see a manual process is "I could build something that does this ten times better," keep reading. GTM systems, from scratch • Design and build the systems that carry a deal from first signal to closed-won: enrichment waterfalls (think Clay), lead-to-account matching, routing, sales handoff, and quote-to-cash flows in DealHub, • Build signal-based outbound and account prioritisation so Sales spends its time where it's most likely to convert, • Wire our tools together with APIs, no-code, and code where it's the right call - HubSpot, DealHub, Gong, our data warehouse, and whatever we adopt next, • Prototype AI and agent workflows that do real work: automated research, QA, data cleaning, drafting, routing - and ship the ones that prove out Experiments that move revenue • Spot where we're leaving money or time on the table, then build the system that fixes it - not just a report telling us it's broken, • Run fast experiments, measure them honestly, kill what doesn't work, scale what does, • Bring ideas we haven't thought of. You'll have the room to try them. The foundation that makes it all reliable • Keep the revenue stack healthy: clean data, working integrations, sensible pipelines and permissions. This is the ground everything stands on, so it has to be solid., • Document what you build so the team can trust it and run with it, • Build dashboards and alerts that give the revenue team real visibility - and flag problems before they cost us End-to-end execution, with the right owners • Own the seam with Marketing Ops: they run demand generation, campaigns, and lead nurture - you build the routing, enrichment, and sales-ready plumbing that picks up where their systems hand off. End-to-end GTM execution is a shared sport, and this handoff is where it's won or lost., • Partner with the Director of Revenue Operations and the wider RevOps, Sales, and CS teams - not as a request queue, but as the person who turns "we wish we could..." into a system that does it, • Onboard and enable the team on what you build, • By month 3 - you know our stack cold, you've fixed the highest-friction thing you found, and the team already comes to you first., • By month 6 - you've built at least one net-new system that's generating or accelerating pipeline, and it's running without you babysitting it., • By month 12 - a meaningful chunk of our GTM motion runs on systems you designed. We can't imagine how we operated before them., • Evidence you've built things. Automations, integrations, scrapers, agents, internal tools, clever hacks, whatever it is, you've made systems that didn't exist before and put them into real use. Tell us about them., • A systems thinker who sees processes as things to be redesigned, not just maintained, • Genuinely comfortable stitching tools together - APIs, webhooks, no-code builders, and light scripting (Python, JS, SQL) where it earns its place, • Strong HubSpot fluency - you can go deep, not just click around, • Real attention to detail and a low tolerance for messy data, because your systems are only as good as what flows through them, • A self-starter who owns the outcome, not just the ticket, • Clear communicator who's at home with both commercial and technical people, • Fluent with AI tools (ChatGPT, Claude, Copilot, Gemini, Notion AI) and already using them to move faster, bonus points if you've built AI into operational workflows (automated QA, AI-driven dashboards, agents), • Bonus: hands-on with DealHub, Gong, Clay, or similar revenue tech. Useful, not essential, we'd rather have a builder who learns our tools than a tool operator who can't build., • Impact, not easy mode - your work matters, and you'll feel it every day., • Ownership from day one - we don't micromanage, we expect you to deliver., • The grind is real - priorities shift, and flexibility is sometimes needed to get things across the finish line. But so are the rewards: impact, growth, and a team that has your back., • The people are extraordinary - talented, driven, and fun to work with. You'll be challenged, supported, and inspired in equal measure., • A yearly education budget and extra days off to use it., • A friendly and social company culture with movie nights, Friday bars, pub crawls, and more., • Free lunch every day., • Pension & health coverage to keep you secure for today and tomorrow., • Paid parental leave to support life's big moments., • Warrants program - be part of our growth story., • Flexible working hours; as long as you're at key meetings and delivering great work, we trust you to manage your schedule. To succeed in this position, your spoken and written English skills need to be proficient. Since Monta is a globally active company, you'll be communicating often and regularly with our co-workers and partners around the world, making your professional English knowledge essential. Find out more by visiting uk/careers/. #J-18808-Ljbffr

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering. As an experienced engineer you will: • Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they., • Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight., • Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work., • Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems., • Play an active role in hiring, mentoring and career development of other engineers, • Raise the bar for technical standards, performance, reliability, and operational excellence, • Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created, • Significant, demonstrated impact that your work has had on the product and/or the teams, • Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working), • You will have experience with Distributed systems, • 2+ years of experience as the primary technical leader for a team, • Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. • Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best., • Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Find Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

Who We Are: IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and event management. It powers growth of revenues, fanbases and IP for more than 250 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, World Rugby, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company. TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. Working Conditions Permanent Position, Mon-Fri, 9am-5pm This role is based at our facilities in Stockley Park, Uxbridge, with hybrid working options where applicable. You may be required to work unsociable hours, including occasional weekends or on-call rotations, to support live operations and critical systems. Occasional travel may be required depending on project and client needs. IMG is looking for a Site Reliability Engineer to help design, build, operate, and continuously improve resilient, secure, and highly available platforms that underpin our digital, cloud, and broadcast-adjacent services. This role is suited to someone who combines strong infrastructure and software engineering capability with an operational mindset, and who can help embed reliability engineering practices across systems that support live, business-critical environments. The successful candidate will play a key role in improving service reliability, observability, incident response, automation, and disaster recovery readiness across IMG platforms, while working closely with engineering, operations, and project stakeholders. • Design, build, and maintain reliable, scalable infrastructure and platform services across on-premises and cloud environments., • Improve service availability, latency, performance, and operational efficiency through engineering-led reliability practices., • Build and enhance observability across services and infrastructure, including monitoring, logging, alerting, dashboards, and service health indicators., • Define and maintain SLIs, SLOs, alerting standards, and operational runbooks for critical services., • Automate infrastructure provisioning, configuration, deployment, and recovery processes using Infrastructure as Code and scripting., • Partner with software, platform, broadcast engineering, and operational teams to improve release quality, resilience, and supportability., • Act as an escalation point for production incidents, leading or supporting rapid diagnosis, mitigation, communication, and post-incident follow-up., • Drive root cause analysis and corrective actions following incidents, with a focus on prevention and continuous improvement., • Support the design, testing, and documentation of high availability, backup, failover, and disaster recovery arrangements., • Help enforce security, access control, patching, and operational best practices across infrastructure and services., • Optimise system capacity, cost, and performance across environments., • Produce and maintain clear technical documentation, operational procedures, and support handover materials., • Support live event and critical operational workflows where reliability, rapid response, and stakeholder communication are essential., • Contribute to technical planning for new services, migrations, and platform enhancements, ensuring resilience is designed in from the start., • Improve reliability, stability, and recoverability of IMG’s platform services., • Reduced mean time to detect and resolve incidents through better observability and response processes., • Higher levels of automation across provisioning, deployment, remediation, and operational support., • Clearer operational ownership, documentation, and service standards across critical environments., • Stronger resilience for live and client-facing workflows through tested failover and recovery approaches., • Proven experience in a Site Reliability Engineer, DevOps Engineer, Platform Engineer, or similar role., • Strong knowledge of Linux and operating system fundamentals., • Strong hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud., • Experience with containerisation and orchestration technologies such as Docker and Kubernetes., • Strong experience with CI/CD tooling and modern software delivery practices., • Hands-on experience with Infrastructure as Code tools such as Terraform or CloudFormation., • Experience with monitoring, logging, and alerting tooling, and with designing actionable observability solutions., • Solid understanding of networking, security, system architecture, and distributed systems principles., • Strong scripting or programming capability in Python, Bash, or similar languages., • Experience working in high-availability, live production, or other business-critical operational environments., • Strong troubleshooting skills, calm decision-making under pressure, and a continuous improvement mindset., • Excellent communication and collaboration skills, including the ability to work effectively with technical and non-technical stakeholders., • Supporting media, broadcast, streaming, or live event platforms., • Familiarity with incident management, postmortem practice, and error-budget based operational models., • Experience with resilience engineering, multi-site failover, and disaster recovery testing., • Exposure to event-driven or low-latency systems, media transport, or hybrid on-prem/cloud architectures., • Understanding of compliance, operational risk management, and support processes in client-facing environments., • Proactive and ownership driven., • Methodical, analytical, and detail oriented., • Comfortable operating in fast-moving, high-pressure environments., • Pragmatic in balancing engineering excellence with operational needs., • Collaborative, service oriented, and committed to raising reliability standards across teams., • Business Acumen – Understanding financial drivers, interpreting business data, aligning decisions to strategic outcomes, • Operational Excellence – Driving efficiency, governance, and continuous improvement in delivery & operations, • Innovation Mindset – Cultivating curiosity, experimentation, and forward-looking capability development, • Leadership & Collaboration – Inspiring others, building trust, and enabling collaboration across teams TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee’s or applicant’s race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use. #J-18808-Ljbffr

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model - which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The UK Value Engineering team is responsible for our largest Fortune500 customers and owns their transformation journey by working on the very frontier of what’s possible with Data and AI. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis data & AI platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. As a Senior Value Engineer you are spearheading our mission of data-driven business transformation with our customers by owning their end-to-end value journey. You are their trusted technology & business advisor, helping organisations achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, helping organisations understand where Celonis fits into their IT landscape and AI strategy, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. Your skillset combines a strong understanding of technology at both strategic and practical levels with consulting skills around strategic thinking and program management. • Discover and translate customers’ strategic priorities into high-impact Celonis use cases, • Advise organisations on how Celonis’ platform fits into their existing IT landscape and AI strategy, • Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers, • Use hands-on tech skills (SQL/Python) to build out (AI) prototypes to bring the Celonis platform to life for new audiences, • Communicate the value opportunity and strategic roadmap to C-Level executives., • Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement, • Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives, • Present results and realized value to senior management and C-level executives, • Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing, • Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion, • Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP), Hands-on SQL and/or Python skills, experience in collaborating with IT teams, experience developing dashboards and automations in tools like PowerBI or RPA, knowledge of and experience with AI-powered solutions. Live for Customer Value: Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise. Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible. Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English and sovereign appearance. Business Domain Expertise: Understanding of the Finance and/or Supply Chain domain as well as strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation) Industry Expertise: Ideally expertise in one or more industries (e.g. Manufacturing, Automotive, Consumer, Retail, Pharmaceuticals, Chemicals) and the ability to develop a deep understanding of industry trends and strategic opportunities Degree: Engineering, Computer Science, Mathematics, Business Analytics or a comparable technical degree • Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations., • Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants., • Unrivaled Family Support: Benefit from our inclusive parental leave policy-24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment., • Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration., • Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform., • Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance., • Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually., • Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued., • Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand - turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more. #J-18808-Ljbffr

Overview In this Analytics Engineer role, you will transform raw warehouse data into analytics-ready data marts to support cross-domain reporting and decision-making. You’ll shape modeling standards and the semantic layer while enabling trusted insights through Looker, Power BI and Tableau. The position operates in a hybrid, consumer-facing business with a strong emphasis on data quality and measurable impact. You will work closely with product and commercial teams to modernise the data stack and drive analytics maturity. Pay / Benefitshybrid workinginvestment in learning and developmentsupportive, collaborative data cultureimpactful, cross-functional projects ResponsibilitiesDesign and build Kimball-style dimensional models and gold layer marts using dbtDevelop and maintain performant, tested dbt pipelinesCollaborate with Data Engineers to optimise upstream data structures and handoffsImplement data quality testing with dbt tests and expectationsDefine and maintain a consistent semantic layer across BI toolsTranslate schemas into business concepts like customers, campaigns, sessions, revenueOwn documentation including data dictionaries, ERDs, and semantic definitionsContribute to migrating legacy warehouses to Snowflake-based modelsRefactor legacy logic into dbt-driven transformationsTackle medium-term projects (6–9 months) to align legacy stacks with modern standards Key requirementsStrong SQL experience with Redshift or BigQuery; exposure to Snowflake or other modern warehouseProven experience building production dbt models, tests, and environmentsSolid understanding of dimensional modelling and Kimball principlesExperience with semantic or metric layersPython experience for analytics or data engineering tasksExperience with BI tools such as Looker and Power BIExperience in agile teams using Git-based workflowsCollaborative mindsetAttention to data quality and detailProactive communication across cross-functional teamsSQL (Redshift/BigQuery; Snowflake exposure)dbt (models, tests, pipelines)Dimensional modelling (Kimball)

Overview As a Software Engineer at Lyst, you will help build core products used by millions of users worldwide, working with cross-functional teams to deliver scalable features. You’ll contribute to systems that power data ingestion, the website, and universal checkout, shaping the user experience for a top fashion platform. The role offers exposure to Python/Django, microservices, and data-driven product initiatives, with opportunities to mentor and share learnings. You’ll operate in a fast-moving, collaborative environment that values impact and technical excellence. Pay / BenefitsTwice monthly internal engineering meetupsPaid conference attendanceClothing allowanceInternal training opportunitiesDesk beer FridaysWell stocked kitchen and fridge ResponsibilitiesCollaborate with engineers, data scientists, designers and product managers to develop new features and execute product strategyDesign and evolve systems to detect external fashion trends and scale international paymentsContribution to APIs and services supporting data ingestion, website, and checkoutOwn architectural decisions within a microservices-oriented stackDrive user-centric improvements to the customer experienceEngage with open-source projects and internal tooling development Key requirementsExperienced software engineer with a track record of solving large challengesStrong in Python (Django) and related stackExperience with large-scale architecture and microservicesCollaboration with data science teams and cross-functional partnersCommercial mindset focused on business objectives and user experienceMentored teams or led engineering initiatives is a plusCommercial mindsetMentorship and willingness to share knowledgeCross-functional collaborationPythonDjangoPostgreSQL

As the UK’s most successful omni-channel retailer, e-commerce is a key part of our business - we run two of the busiest websites in the UK, driving a significant proportion of our sales. Our engineering practice includes 80+ teams, working on everything from Cloud platforms to mobile apps, from e-commerce functionality to machine learning. Take a quick look at our Engineering best practices, hear our engineers talk about their experience and opportunities to learn and grow, and check out our Tech stack. Reach out if you have any questions. Visit - engineering-jobs/ At a glance: Expected Salary: up to £100,000 (depending on experience) Contract type: Permanent Flexible Working: This is a hybrid working role; therefore, your time will primarily be split between working from home (in the UK) and our London Head Office. However, there will also be an expectation to visit other locations as the need arises. Our Engineering team currently works from the office roughly twice a week to connect and, on a more ad‑hoc basis, to attend key meetings, but again the frequency is dependent on the business needs. Our offices are open five days a week for those who prefer to work from the office more regularly. This is an opportunity to work as a Senior Platform Engineer within a cross‑functional Agile development team building our Partnership Data Platform (PDP) on Google Cloud and Snowflake. You will be working collaboratively with other highly skilled Engineers creating and improving this cloud‑based platform that is used by the Data teams building complex, mission‑critical solutions. The vision for PDP is to embed data‑driven decision‑making and analytics at scale, across the Partnership. We recognise the importance of data and are backing a significant investment in developing the platform. The team takes a “paved road” approach to provide features that benefit the many Engineers that utilise the platform, by evolving its capabilities and tailoring them to both Our Business and Engineering needs. As a Senior Engineer, you will have responsibility for the development approach and will strongly influence how the platform evolves to meet business needs. You will also use your knowledge of Engineering to support the shaping of new projects and support the professional development of less experienced developers. You will work with a diverse range of technical and non‑technical stakeholders, which will require strong communication skills. There are opportunities to become a people manager for your fellow engineers if that is something that appeals to you. Excellent Software Engineering skills with a track record of working in teams delivering flexible cloud‑based infrastructure solutions that are scalable, secure and performant. Successful candidates will have a passion for using technology to deliver outstanding and innovative solutions. • Experience working with Google Cloud Platform or another major cloud provider., • Managing infrastructure as code, with a Software Engineering mindset., • Use of languages such as Python to automate configuration and extend platform services., • A solid grounding in designing and building systems for reliability and security., • Well‑versed in the Continuous Integration/Continuous Delivery practice, and experience of using supporting tools to help it work effectively for many Engineers., • Comfortable working within an Agile development team and open to pair programming., • Extensive experience leading, coaching and mentoring individuals/teams., • Experience with generative AI tools and techniques to enhance development and productivity., • GCP (e.g. IAM, Cloud Run, GKE, Cloud Storage, VPC networking), • Snowflake Data Platform, • Terraform, • Gitlab CI, • Familiarity with SQL, • Docker and Kubernetes, • Apache Airflow, • Observability tools – especially those relevant to Data Platforms, • DBT, • Informatica. Pay: £62,900.00 - £115,000.00 Annual Contract Type: Permanent Hours of Work: 35 Job Level: Partnership Level 6 Where You'll Be Working: London Central Office, 1 Drummond Gate, London, , SW1V 2QQ Closing Date: October 11, 2026 We’re the largest employee owned business in the UK and home of our cherished brands, John Lewis and Waitrose. We’re not just employees, we’re Partners, driven by our purpose to build a happier world. As we look to our future, there’s never been a more exciting time to join us. We’re ruthlessly focused on being brilliant at retail. We continue to innovate, adapt and diversify. Never Knowingly Undersold on price, quality and service in John Lewis and passionately serving food‑lovers in Waitrose. As Partners we all share the responsibility of ownership and in its rewards. We use our voices to contribute to our success, working together through the good and challenging times, holding true to our behaviours and treating everyone with kindness and respect. We all own making the Partnership somewhere we belong. Embracing our differences and creating an environment where we’re free to be ourselves and can THRIVE. Growing ourselves individually, and as a collective. As Partners, we make all the difference. And, we all own it. It’s important to note that some of our roles are subject to pre‑employment vetting (which may include DBS checks for successful candidates). If required, you’ll be informed and provided with information about vetting during the recruitment process and we encourage you to complete any vetting documents quickly to avoid delays. Any DBS checks required will be carried out by a third‑party registered body and financial probity checks may also be required for some of our roles. We also recommend that you apply as soon as possible as vacancies can close early if we see a high number of applicants. We want all of our Partners to have a good work‑life balance and we support flexible working. This might mean flexible or compressed hours, job sharing or shorter hour contracts, where possible. Please discuss this further with the hiring manager during your interview. At the John Lewis Partnership we’re not just employees; we’re co‑owners, and that’s why we’re called Partners. Being a Partner means not only do we all collectively share the responsibilities of being the UK’s largest employee‑owned business, but we also share in its rewards and successes. It’s this ownership model that makes the Partnership a very unique place to work. #J-18808-Ljbffr

Client Server Limited in London is seeking a Python Developer / Engineer (SQL ETL) to build and optimise the data platform, focusing on data quality, reliability, and scalable ETL workflows across microservices and databases. You will maintain infrastructure, including IaC, monitoring, disaster recovery, and operate the platform in a fast-paced hedge fund environment with strong bonus potential. #J-18808-Ljbffr

We're supporting a large-scale Workday HCM implementation and are looking for several experienced Data Engineers to join the programme immediately. This is a hands-on role working alongside senior stakeholders and delivery partners to support data migration, transformation and integration activities, helping ensure the successful delivery of a critical HR transformation programme. • Supporting data migration and transformation activities for a Workday HCM implementation, • Designing and building data pipelines and ETL processes, • Extracting, cleansing, transforming and loading data into Workday, • Working closely with business, HR and technology stakeholders to resolve data quality challenges, • Supporting data validation, reconciliation and testing activities, • Collaborating with implementation partners and programme teams to meet delivery milestones, • Helping establish robust migration and governance processes, • Strong Python development experience, • Proven Data Engineering experience on enterprise-scale programmes, • Deep SQL and relational database expertise, • Strong ETL development and data transformation experience, • Experience working on complex data migration programmes, • Strong stakeholder engagement and problem-solving skills, • Previous Workday implementation experience, • Experience supporting HR, HCM or workforce-related data migrations, • Exposure to large-scale transformation programmes, • Cloud platform experience (AWS, Azure or GCP), • ASAP start required, • Hybrid working (details to be confirmed) This is an opportunity to join a significant Workday HCM transformation programme, working alongside experienced delivery teams on a large-scale data migration and modernisation initiative. #J-18808-Ljbffr

Join a growing technology consultancy specialising in driving AI and machine learning adoption across the UK government sector. You’ll play a key role in building sophisticated software and data solutions, combining hands‑on engineering with technical leadership to help deliver secure, scalable technology with real‑world impact. • Package: £75,000 basic salary + annual performance bonus and perks, • Design, build and deploy scalable full‑stack software solutions across front‑end, back‑end and data engineering., • Develop high‑quality APIs, backend services and complex data pipelines with performance and reliability in mind., • Work extensively with Python, TypeScript and SQL across a variety of applications and integrations., • Support the delivery of technology solutions helping public‑sector organisations adopt AI and machine learning effectively., • Deploy and maintain applications within cloud environments such as Azure and GCP., • Use Docker and Linux to support reliable application deployments, including containers, storage, volumes and permissions., • Review code and pull requests, maintaining strong standards around security, testing and maintainability., • Design and optimise database solutions to protect data integrity and improve application performance., • Troubleshoot complex technical challenges and continuously improve existing platforms and services., • Mentor junior engineers and help establish strong engineering practices across the wider team., • Communicate technical decisions, project progress and outcomes clearly to technical and non‑technical stakeholders., • Contribute to technical planning, identify potential risks and recommend new technologies or approaches., • Strong commercial experience as a Full‑Stack Developer or Software Engineer working on complex applications., • Advanced Python and TypeScript skills, with experience using frameworks such as FastAPI, Pydantic, Node.js, Express or Next.js., • Strong React experience and confidence building sophisticated, user‑friendly front‑end applications., • Strong SQL and database experience, including performance optimisation and data integrity., • Hands‑on knowledge of cloud deployments, ideally Azure or GCP., • Confident working with Docker and Linux‑based environments., • Advanced Git knowledge, including branching, merging, pull requests, code reviews and collaborative workflows., • Experience with CI/CD practices and automated testing., • Comfortable reviewing other developers’ code and maintaining high engineering standards.Strong stakeholder communication skills, including presenting complex technical concepts clearly., • Experience mentoring or supporting less experienced engineers., • Excellent problem‑solving, organisation and attention to detail., • Competitive compensation package with an annual performance bonus., • 26 days’ annual leave, plus bank holidays and your birthday off., • Enhanced family leave., • £1,000 annual learning and development budget., • Hybrid working with just one day per week in the Shoreditch office., • Work remotely from anywhere in the world for up to four weeks each year., • Choice of a high‑spec Windows machine or MacBook., • Exposure to meaningful AI and machine learning projects across the UK government sector., • Plenty of autonomy and the opportunity to work across different technologies and technical challenges., • Supportive, entrepreneurial culture with regular team socials, free snacks and drinks., • Opportunities to develop your technical leadership while remaining hands‑on. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! We are building a new team from the ground up to develop the first generation of verification and validation infrastructure - both hardware and software - including automated Hardware-in-the-Loop (HIL) systems with sensors and vehicle system emulation. As a HIL System Engineer, you’ll lead the design, deployment, and continuous improvement of scalable and modular HIL benches that support end-to-end system integration and validation across multiple vehicle platforms. You’ll own the full lifecycle of HIL benches - from requirements gathering and hardware integration to commissioning and workflow improvement. You’ll work closely with cross-functional teams including software, hardware, and system validation to ensure HIL systems are reliable, configurable, cost-efficient, and always ready to support fast paced releases. We are looking for engineers with experience in system design, hardware/software system integration, operations, and cross-functional collaboration. • Architect modular, configurable, and cost-effective HIL bench designs for platform integration and validation, • Consolidate system and test requirements from stakeholders to define HIL design, • Select and integrate off-the-shelf and custom components, e.g., GPIO module, FPGA board, signal conditioning module, power supply, • Collaborate with supply chain, program management, hardware, facility teams to ensure procurement, build and lab readiness, • Own the commissioning workflow for all benches and lead continuous improvement to reduce build and bring up time, • Collaborate with other HIL engineers to integrate sensor emulation, automation, configuration management, • Contribute to infrastructure that scales with future test demands and evolving hardware/software platforms, • Lead HIL bench issue resolution and root cause analysis You are passionate about architecting hardware-software test systems that enable scalable and high reliability open-loop and closed-loop testing. You enjoy bridging hardware, software and system engineering within the test validation workflow, and thrive in fast-moving and cross-functional environments. You care about reliability, scalability, and efficiency - and are committed to delivering test platforms that others can count on. You bring a mindset of continuous improvement and take ownership of processes and HIL bench products. • Bachelor’s or Master’s degree in System Engineering, Electrical Engineering, Mechatronics, or a related field, • 5+ years of hands-on experience, designing and managing HIL systems and test benches in autonomous vehicle, robotics, aerospace, or similar industries, • Solid understanding of system integration, ECU communication protocols, • Experience selecting and integrating components such as dSPACE/NI/Vector modules, media converters, power supplies and DAQ hardware, • Strong background with diagnostic tools including but not limited to Vector, Kvaser, • Proficiency in Linux or Unix based operating systems, command line tools, • Proven experience in system debugging, issue resolution, and root cause analysis across hardware/software integration, with the ability to drive issues to closure and implement preventative improvements, • Proven ability to collaborate with cross-functional teams and lead others to solve technical problems even when you don’t manage them, • Strong systems engineering fundamentals across full product life cycle, from system architecture, operation to decommission, • Excellent cross-functional communication skills, • Experience with autonomous systems including robotics and/or autonomous vehicles, • Exposure to vehicle dynamics modeling or closed-loop HIL testing, • Strong programming/scripting skills in Python, C/C++, or MATLAB/Simulink, • Proficiency with agile development tools and environments (Jira, Jama, etc), • Familiarity with automotive software development requirements and standards, such as ASPICE ,ISO 26262 and ISO 21448 (SOTIF) , with automotive HIL SW and HW products e.g. from Vector and dSPACE and with automotive SW architecture such as AUTOSAR This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. #J-18808-Ljbffr

Overview Senior Software Engineer to build and support a diverse tech stack powering global crypto trading. You will collaborate with traders and quants to design robust systems spanning trading, exchange connectivity, and monitoring, aligned with core infrastructure services. You’ll work on 24/7 operations, tackling high-performance, mission-critical applications across multiple exchanges and regions. This role offers impact in shaping the trading stack and accelerating systematic market-making in digital assets. ResponsibilitiesCollaborate with the cryptoassets team to support 24/7 global trading operationsArchitect and build software systems including trading, exchange connectivity, and monitoring solutionsLeverage Python, Java, and other languages to deliver development tasksPerform unit, functional, and integration testing for reliability and performanceMaintain legacy code while delivering new development projectsFoster collaboration among traders, researchers, and software engineers Key requirementsDesign, develop, and support mission-critical, high-performance applicationsStrong experience in C++, Rust, Java, and PythonExperience with network communication (multicast, WebSockets)Knowledge of inter-process messaging, microservices, and API designFamiliarity with functional programming and immutable designExperience with trading systems is desirableExcellent oral and written communication skillsBachelor’s degree in Computer Science or equivalentstrong communicationteam collaborationproblem-solvingC++RustJava

Company DescriptionPublicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith, as well as global accelerator PMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings from CJ, Epsilon and Influential. A key business solution of Publicis Groupe, Publicis Media’s digital-first, data-driven global solutions deliver client value and drive growth in a platform-powered world. It is present in over 100 countries with over 23,000 employees worldwide. Performics is the Performance Centre of Excellence within Publicis Groupe, delivering technology, data, and AI-driven marketing solutions for global brands. OneSuite is our unified marketing intelligence and automation platform powering agentic workflows, data processing, analytics services, and channel automation across Search, Social, Programmatic, Commerce, and Measurement. Backend engineering is foundational across all OneSuite — providing the APIs, integration layers, orchestration runtimes, and backend systems that power every charter, from Agent Studio to AOE, DFP, Channels, and SRE. We are seeking a Senior Backend Engineer (Individual Contributor) to lead the design, development, and evolution of backend systems across OneSuite. This is a hands‑on engineering role — you will write production‑grade code, solve complex distributed systems problems, shape backend patterns, and guide other engineers through technical influence (not supervision). As a Senior IC, you will help define service architecture, enforce engineering best practices, and collaborate across multiple charters to ensure OneSuite’s backend systems are scalable, reliable, secure, and performant. Backend Architecture & System Design • Architect distributed backend services and APIs using Python, FastAPI, Node.js, or equivalent frameworks., • Design modular, observable, and scalable backend components for orchestration, data services, and platform integrations., • Define patterns for microservices, domain boundaries, caching, queuing, resiliency, and error handling., • Build robust service‑to‑service communication mechanisms (REST, gRPC, event‑driven patterns)., • Implement secure authentication, authorization, rate limiting, and multi‑tenant access controls. Hands‑On Backend Development • Write high‑quality, maintainable, production‑ready code., • Integrate with external APIs (marketing platforms, cloud services, internal microservices)., • Build and maintain CI/CD pipelines and infrastructure‑as‑code environments., • Lead code reviews, mentor engineers, and ensure high engineering standards., • Contribute to platform SDKs, internal libraries, and backend frameworks used across charters. Performance, Reliability & Observability • Implement tracing, structured logging, metrics, dashboards, and alerting., • Optimize services for latency, concurrency, throughput, and cost efficiency., • Ensure system reliability through automated testing, load testing, error budgets, and resiliency strategies., • Partner with SRE to define SLIs/SLOs and improve platform‑wide reliability. Cross‑Functional Collaboration • Work closely with Studio, AOE, DFP, Channel, and SRE teams on shared backend designs., • Collaborate with Product Managers and UX research teams to translate requirements into backend capabilities., • Align architecture decisions across charters to ensure consistency and maintainability., • Demonstrable backend engineering experience, with architectural ownership over services or distributed systems., • Expertise in Python, FastAPI, Flask, or Node.js and modern backend development patterns., • Strong understanding of microservices, concurrency, async programming, and event‑driven architectures., • Proficiency with SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis, MongoDB)., • Hands‑on experience with Docker, Kubernetes, and cloud platforms (AWS or GCP)., • Strong CI/CD experience using GitHub Actions, Jenkins, Argo, or similar tools., • Deep knowledge of observability practices — logs, metrics, traces, performance analysis., • Proven ability to write clean, testable, well‑structured production code., • Experience with streaming or queuing systems (Kafka, Pub/Sub, SQS)., • Familiarity with AI/LLM systems (AOE integration), though not required across all charters., • Knowledge of data engineering patterns or ETL/ELT workflows., • Prior experience with API gateway architectures, caching layers, or service meshes., • Exposure to cybersecurity best practices and secure service design. Publicis Groupe has fantastic benefits on offer to all of our employees. In the UK, in addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plan, we also offer: • WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year., • REFLECTION DAYS – Two additional days of paid leave to step away from your usual day‑to‑day work and create time to focus on your well‑being and self‑care., • HELP@HAND BENEFITS 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching., • FAMILY FRIENDLY POLICIES We provide 26 weeks of full pay for the following family milestones: Maternity, Adoption, Surrogacy and Shared Parental Leave., • FLEXIBLE WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF You are entitled to an additional day off for your birthday, from your first day of employment., • GREAT LOCAL DISCOUNTS This includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre. Full details of our benefits will be shared when you join us! Publicis Groupe operates a hybrid working pattern with full‑time employees being office‑based three days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process. #J-18808-Ljbffr

Urgent Network Automation Engineering opportunity - Quant Trading - London - Inside IR35 • Looking for a top tier Network Automation Engineer who has a solid background in Software Engineering, • The philosophy is to automate everything, you will be adept at building IaC solutions using Python or similar, • You'll also have experience building API's and tools that make the network scalable, • Alongside this, you'll bring a dep understanding of networking fundamentals including firewalls, protocols, routing & switching etc., • Any background with Platform tools such as Puppet, Ansible, Terraform etc. will also be utilised very well This is an initial 12 month contract with 36 months of projects pipelined right now. #J-18808-Ljbffr

Certain Advantage is seeking an Automation Developer in London to design, build and maintain our automation ecosystem. The role requires hands-on experience with CI/CD pipelines, IaC tooling, and Ansible/AAP, delivering secure, scalable automation across production systems. The successful candidate will collaborate with cross-functional teams, implement automation standards, and produce documentation while operating within a hybrid work model with onsite days. #J-18808-Ljbffr

We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas. As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. G-Research is going through an exciting period of growth in our colocation and low-latency platform. As part of our transformation, we are looking for a highly-skilled network automation engineer to join our Colo Infrastructure team. The team manage a highly available colocation network. You will design and build automation solutions that enable rapid deployment of new infrastructure and efficient management of existing infra whilst maintaining reliable operations. Key responsibilities of the role include: • Building and evolving automation frameworks for network provisioning and lifecycle management, • Developing infrastructure-as-code solutions using Python, Ansible, Terraform and Jinja2, • Integrating network automation into CI/CD pipelines for reliable, repeatable deployments, • Creating APIs and self-service tooling for engineering teams, • Implementing observability and telemetry solutions for performance and reliability, • Partnering with network, platform and security teams to deliver resilient, scalable systems, • Contributing to incident response and production reliability, • On-call responsibilities for the most critical parts of the infrastructure We’re looking for a skilled network engineer with technical experience of managing high-performance, low-latency, scalable and resilient network infrastructure solutions. The ideal candidate will have the following skills and experience: • Confident with Python and solid engineering fundamentals across testing, version control and CI/CD, • Experience with infrastructure-as-code and automation tools such as Ansible, Terraform and Jinja2; also must have experience leveraging AI tools, such as Claude Code, • Familiarity with Docker and Kubernetes, • Exposure to monitoring, observability or telemetry in distributed systems, • Pragmatic problem solver who can operate in ambiguity and take ownership, • Comfortable working in collaborative, fast-paced engineering teams, • Deep understanding of networking fundamentals and ideally experience in network engineer in financial markets, • Highly competitive compensation plus annual discretionary bonus, • Lunch provided (via Just Eat for Business) and dedicated barista bar, • 30 days’ annual leave, • 9% company pension contributions, • Informal dress code and excellent work/life balance, • Comprehensive healthcare and life assurance, • Cycle-to-work scheme, • Monthly company events . #J-18808-Ljbffr

At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating insurance; We're leading the AI evolution in insurance For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook. We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives. You'll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers. Do not take our word for it. Read what Zegons say about us on Glassdoor. If you're ready to build the future of insurance, we're hiring. Location Portugal | Compensation package €35,000 - €50,000 base + Bonus + Share Options + Benefits | Ways of working remote with quarterly visits to our London office We're looking for a Data Engineer to join our data engineering function, helping to build and maintain the data platform that powers Zego's ambitious growth. This is a hands-on technical role. You'll build and maintain scalable, reliable, and secure data pipelines, working within an established platform and architecture. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable. AI is central to how we work at Zego, and that extends to engineering. You'll be encouraged to use AI tools to move faster, automate the routine, and focus your time on the problems that matter most, while staying thoughtful about where and how they add value. You'll learn from experienced engineers across the team, and you'll be encouraged to grow your technical skills while contributing to high-quality, well-tested work. Technical Delivery • Build, maintain, and improve data pipelines and related systems., • Follow and help uphold best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code., • Take part in code reviews and team knowledge sharing. Platform & Data • Build and maintain data pipelines, warehouses, and streaming systems within our existing architecture., • Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases., • Contribute to improvements in our data systems and tooling. Collaboration & Delivery • Work with teams across the business to understand requirements and turn them into reliable technical solutions., • Help identify opportunities for optimisation and tool improvements., • Deliver against the technical roadmap for data engineering. What you will need to be successful • Experience: 2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments., • Technical Skills:, • Experience building and operating ETL/ELT pipelines., • Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar technologies is expected)., • Collaboration: Ability to work effectively with teammates and stakeholders., • Problem-Solving: Pragmatic approach to balancing quality with delivery needs., • Growth Mindset: Eagerness to learn, take feedback, and grow your technical skills., • You work AI-first. You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait to be trained will find this uncomfortable. Nice to Have: • Familiarity with Data Mesh or Lakehouse architectures., • Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis)., • Exposure to ML engineering pipelines or MLOps frameworks. Pay Transparency At Zego, we are committed to pay transparency and equal pay practices. In compliance with EU pay transparency regulations, we proactively disclose salary information for all open positions to ensure fairness and clarity in our recruitment process. We believe transparency builds trust and helps candidates make informed decisions about their careers with us. Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our office (central London or Halifax) weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it. We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year. Here is what the last one looked like. • Market-competitive salary, benchmarked against your function and reviewed every year., • Annual performance bonus, linked to company performance and your contribution., • Share options, a real stake in the company and a share in the future you build, • Private medical insurance., • Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new., • Cutting-edge systems and tools, so you always have what you need to drive your impact. Ready to do the most impactful work of your career? We want to hear from you. Zego, leading the AI evolution in insurance. We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. #J-18808-Ljbffr

We are seeking a highly skilled and innovative Lead Agentic AI Engineer to join our team and drive the design, development, and deployment of production‑grade generative AI and agentic solutions using Microsoft technologies. This role is ideal for a technically strong engineer who has hands‑on experience building AI solutions, orchestrating agentic workflows, implementing evaluation frameworks, and taking solutions into secure, scalable, and cost‑optimised production environments using platforms such as Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio. • Take ownership of technical solution design and architecture decisions, bringing clarity from ambiguous client requirements, • Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices, • Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments, • Lead end‑to‑end solution delivery, from discovery and design through implementation, deployment, and handover, • Make clear technical design decisions that support scalability, reliability, security, and maintainability, • Lead and mentor junior team members, helping them deliver high‑quality outcomes and grow their technical capability, • Collaborate effectively with cross‑functional teams in agile environments, • Manage technical stakeholders and client conversations, translating business needs into practical AI solution designs, • Support or lead pre‑sales activities, including solution shaping, technical estimations, demos, proposals, and client discussions, • Lead implementation during delivery, ensuring the proposed solution is built to the agreed architecture and quality standards, • Hands‑on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral, • Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi‑agent patterns, • Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance, • Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost, • Experience deploying AI solutions into production with focus on cost optimisation, scalability, observability, security, and governance, • Experienced in using Microsoft GenAI ecosystem, including M365, Copilot Studio, Azure AI Foundry, and Microsoft Agent Framework, • Proficient in Python and production‑quality code practices, • Strong understanding of software engineering principles, architecture patterns, and delivery best practices, • Experience with API development using frameworks such as FastAPI, Flask, or Django, • Knowledge of Docker, containerised deployments, CI/CD, and cloud‑native delivery patterns, • Experience building, deploying, and evaluating multi‑agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations, • Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A, • Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness, • Confidence contributing to pre‑sales while also being able to lead implementation during delivery, • Curiosity and motivation to stay current with the latest advancements in GenAI, agentic AI, and AI engineering frameworks, • Bachelor’s degree in Computer Science, Data Science, or a related field, • Microsoft certified i.e. Azure AI Apps and Agents Developer Associate or Agentic AI Business Solutions Architect #J-18808-Ljbffr