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Overview A global enterprise organisation is looking to hire a Full Stack Engineer / Technical Lead to drive the design and delivery of an internal AI-enabled platform focused on workflow automation and support operations. This role blends hands-on engineering with technical leadership, owning delivery across frontend, backend, APIs, and AI-driven workflows at scale. The Opportunity You will lead the build of an end-to-end internal platform used by employees to manage workflows, automate tasks, and enhance operational efficiency. This includes designing and implementing AI-powered workflows (e.g. automated support, task resolution, and intelligent routing) integrated with enterprise systems. Key Responsibilities Technical Leadership & Architecture • Define end-to-end architecture across frontend, backend, APIs, and AI-driven workflows, • Make architectural decisions aligned with enterprise standards and best practices, • Mentor engineers and provide hands-on technical guidance, • Ensure performance, scalability, security, and resilience Full Stack Engineering • Build user-facing applications for internal users and support teams, • Develop backend services, APIs, and workflow engines, • Design and implement AI-powered workflows using LLMs, • Build features such as chat interfaces, task automation, and case management, • Implement guardrails, error handling, fallback logic, and human-in-the-loop processes Delivery Ownership • Own delivery from design through to deployment, • Work with product and business stakeholders to define requirements, • Lead agile ceremonies and delivery planning, • Manage risks, dependencies, and technical challenges Integration & Platform Enablement • Integrate with enterprise systems (e.g. identity, ITSM, collaboration tools), • Implement secure authentication, RBAC, and auditing, • Support production release and operational readiness Governance & Stakeholder Communication • Ensure compliance with internal governance and security standards, • Communicate decisions and progress to technical and non-technical stakeholders, • Contribute to engineering best practices Core Requirements • Strong full stack development experience (frontend + backend), • Proficiency in Python, Node.js, or Java, • Experience building production-grade APIs and web applications, • Experience leading technical delivery in agile environments, • Strong API design, system design, and architectural skills, • Understanding of LLM APIs, prompt engineering, and AI workflows, • Strong knowledge of security, authentication, and secure coding, • Experience working in enterprise or regulated environments Preferred Experience • Experience integrating with ITSM tools (e.g. ServiceNow, Jira, Zendesk), • Experience with collaboration platforms (e.g. Slack, Teams), • Experience building internal platforms or enterprise tools, • Exposure to financial services or regulated industries, • Experience with cloud-native architectures and CI/CD Working Model • Hybrid working (typically 3 days on-site) Compensation • Competitive contract rate, • Flexible depending on scope and experience

We are looking for Consultant with strong hands-on experience in a building and supporting reconciliations on TLM Premium 2.5 or higher version platform. The candidate, expected to have good knowledge on various types of the reconciliation controls (Nostros, Depos, Inter Accounts, Intersystem, FOBO, FOCL) for the various Capital Markets asset classes, which will be required to understand business and build recs for the same. Candidate must have – Reconciliation build experience using TLM Premium 2.5 or higher. Strong Oracle database development skill. Hands on experience on the Unix Shell scripting commands Production Support experience is good to have. Exposure to any reporting tool (BIRT, Crystal / SAP BO etc.) UNIX Solaris, Linux Shell scripting (bash/Vi Editors / PowerShell) What you will do: • The candidate, expected to perform comprehensive requirement analysis, development, testing (UNIT / SIT / UAT) and implementation of the reconciliations on the Recs platform TLM Premium 2.5 or Higher into production environment., • Expertise in Smart stream TLM tool with hands on experience On TLM premium 2.5 or higher version., • Should have detailed hands-on experience With TLM TOOLS as SMART STUDIO/ Smart Schema/ Recon Admin/ web Connect/ Control &CT tools., • Expertise in Oracle (Specially TLM tables knowledge)/ good hands on write sql stored procedure., • TLM database table linkages, for analyzing production issue from the backend., • Expertise in the exception management and breaks allocation automation on the TLM platform, • Expertise in Unix shell scripting should be well versed with the most frequently used UNIX commands and the Vi Editor., • Well versed in TLM services/ usage & logs validation for debugging., • Develop stored procedures, triggers and functions for recs and end-user reports using Oracle database., • Production Support will also be one of the responsibilities of the team, which goes on a rotational basis., • Must have knowledge of Oracle Database Troubleshooting, using profiler, database backup procedures., • Should have environment knowledge like troubleshooting windows issues, understanding Unix logs and Linux/Unix Solaris services knowledge, patching, server maintenance, application installation, building environments, security patching, network maintenance., • Should have exposure to Agile and DevOps culture., • Very good communication skills to convey clear details to end users/ clients for any challenges faced during build or testing., • Knowledge of automated deployment tools will be an added advantage. What you will need to succeed in the role: • Advance knowledge working with TLM TOOLS as SMART STUDIO/ Smart Schema/ Recon Admin/ web Connect/ Control &CT tools., • Solid SQL experience on Oracle Database and its performance optimization, • Understand complex DB objects – stored procedures, database views, triggers, and database structure., • Ability to write complex SQL queries – joins, updates, scripts for analysis etc., • Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement., • Re-engineering the business processes and building short relationships with business and operations., • Good understanding of Capital Markets, Trade Lifecyle of the various Asset classes, which assist in building better reconciliation controls on the TLM Premium recs platform. What additional skills will be good to have? • Knowledge of cloud concepts and cloud architecture, different types of cloud computing (preferably GCP)., • Exposure to any Reporting/Analytics tool like BIRT, Crystal/SAP BO/Qliksense/Qlikview etc., • Knowledge of DevOps principles & tools like GitHub/Jenkins, Jira, Confluence., • Any programming language experience Python, JAVA., • Scripting knowledge on the VB, Perl, PowerShell

Senior Data Engineer Location: Remote with visits to our Sheffield HQ a minimum of 6 times a year Twinkl is on an exciting journey to redefine how we serve our global teaching community through data. We're building a world-class data engineering function to power the next generation of our data platform, with modern tools and practices at our core. As a Senior Data Engineer, you will be a key contributor in building and maintaining the robust data systems that power our analytics and operational needs. You’ll work across our data platform from batch processing to event streams, ensuring our solutions are scalable, maintainable, and deliver real value to our users. Data Engineering Team You'll have the opportunity to work with modern data engineering tools and practices, while learning from experienced engineers. We offer the freedom to work in whatever way suits you best - whether that's remote, in our Sheffield office, or a mix of both. You're encouraged to contribute to architectural decisions, take ownership of key platform components, and develop your skills across the full data engineering spectrum. With our focus on impact over hours worked, you'll be part of a team that values pragmatic solutions and continuous learning, working on projects that make a real difference to educators worldwide. • We embrace modern data engineering practices and tools, • We champion learning and development, • We believe in empowering engineers to drive technical decisions, • We focus on impact and outcomes over process What will you be doing? As our Senior Data Engineer, you will: • Pipeline Development: Design, build, and maintain scalable data pipelines that move data efficiently across the organization., • Data Modeling: Optimize data models from ingestion through to presentation layers to ensure high performance., • Best Practices: Contribute to and uphold high standards for code quality, testing practices, and CI/CD workflows., • Collaboration: Work closely with data scientists, analysts, and stakeholders to translate business requirements into technical solutions., • Data Integrity: Implement data quality frameworks and documentation to ensure our data is reliable and discoverable., • Problem Solving: Turn complex data requirements into clean, maintainable code., • Continuous Improvement: Identify opportunities to utilize AI and automation to improve the development lifecycle and increase platform stability., • Knowledge Sharing: Peer-review code and mentor mid-level/junior data engineers, fostering a culture of technical excellence. What do we need from you? • Minimum 3 years experience working in Data Engineering/Analytics Engineering or within data teams, • Minimum 2 years of experience with a modern data platform such as Databricks or Snowflake, • Knowledge of different data architecture patterns and how and when to implement them, • Knowledge of data modeling and warehouse design, • Minimum 3 years experience with SQL and Python, • Experience with version control and CI/CD, • Experience implementing data quality and testing approaches in a modern data platform, • Experience implementing testing and deployment patterns for modern data pipelines Most importantly, you should: • Be curious about how things work and always looking to learn more, • Care about building reliable systems that make other people's jobs easier, • Understand that sometimes "boring" technology is the right choice, • Get satisfaction from cleaning up messy data problems, • Want to work somewhere where you can have real impact, not just maintain the status quo What’s in it for you? • A friendly, welcoming and supportive culture. We believe work should be fun and always put people before process, • Flexible working with fully remote and hybrid working options - early bird or night owl? No problem - our flexible working policy helps you work the hours that suits you best, • 33 days annual leave per year, pro rata. You decide which public holidays to recognise. After 2 years of employment, your annual leave entitlement will accrue year on year up to 38 days annual leave, • An additional day of annual leave, a Me Day, to take time for yourself, • Charity day to volunteer and support a registered charity of your choice, • Westfield Health (including Health Club discount and Westfield Rewards discount and cashback), • Learning and Development opportunities, with opportunities for internal mobility across various departments / areas of the business, • 4 x annual salary death in service life assurance, • Enhanced pension after long service, • Enhanced parental and adoption leave after long service, • Quarterly awards designed to reward and recognise our wonderful Twinkl employees, • Seasonal events for all UK employees so you can catch up with your new colleagues in person, • Twinkl Subscription How do we make it happen? We like to keep things simple and clear, after an initial chat with our TA Partner the process is: • Initial 30 minute chat with one of our Head of Data Engineering so you can get to know more about the role., • 60 minute technical interview - we’ll go over your tech test and talk about it in more detail. Then we’ll do a few competency based questions. You’ll also have the opportunity to ask questions about the role and Twinkl and get to know why the data team is a really exciting place to work., • 60 minute behaviours interview - where we'll do some competency based questions and you’ll also have the opportunity to ask questions about the role and Twinkl and get to know why the data team is a really exciting place to work., • That’s it, we’ll review everything and let you know, either way you’ll be given feedback about your interview because we believe constructive feedback is always important. At Twinkl, we encourage diversity, and our doors are open to everyone. We're committed to creating an inclusive workplace for all. If you need any adjustments during the application process to showcase your abilities, please let us know. We're here to support you on your journey.

This role sits within a major UK Defence digital transformation programme, driving the design, build and demonstration of AI/ML proof-of-concepts across sensitive mission data, legacy estates and modern cloud platforms. The environment is heavily aligned to Oracle technologies, so experience with Oracle’s cloud-native AI stack is strongly desired (but not essential). Key Responsibilities/Experience • Design, prototype and deliver AI/ML PoCs (RAG pipelines, LLM-powered services, agent-based automation, generative use cases) aligned to Defence workflows and mission needs., • Build high-performance backend components to support AI workloads, including retrieval layers, vector pipelines, inference services and integrations with platform-native AI capabilities., • Engineer, fine-tune and optimise ML/LLM models for training, inference, latency and cost efficiency in secure cloud environments., • Oracle AI stack (OCI Language, Vision, Speech, Generative AI, AI Agents) to build demonstrators aligned to programme objectives and operational scenarios., • Ensure all AI solutions comply with MOD security constraints, cloud governance, auditability requirements and responsible-AI principles., • Work closely with data engineering teams, application/integration specialists and security SMEs across a geographically dispersed programme delivery organisation., • Contribute to SDLC processes (Agile/Iterative), including JIRA-managed workflow tracking and stakeholder playback sessions. Essential Skills • Strong backend engineering background delivering high-scale systems with AI components (Python/Java, RAG frameworks, vector databases, API engineering)., • Demonstrable experience fine-tuning and optimising LLM/ML models and associated training/inference pipelines., • Solid understanding of cloud security patterns and guardrails in regulated environments., • Ability to communicate complex AI concepts to senior Defence stakeholders with varying technical backgrounds., • UK Citizen with SC (minimum) or able to obtain clearance. Desirable • Knowledge of Oracle ADW, OAC, Fusion or Integration Cloud., • Hands-on experience with OCI AI Services and Oracle’s emerging AI ecosystem., • Prior experience in Defence, Central Government or other highly regulated sectors.

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Basic Qualifications (BQs): • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Other Qualifications (OQs): • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Cloud Native DevOps Engineer – AWS (SC Cleared) UK Wide Up to £85,000 + Benefits Hybrid Ready to work on mission-critical cloud programmes using cutting-edge AWS technology? We’re hiring multiple Cloud Native DevOps Engineers to join a high-performing team delivering secure, scalable solutions across major UK clients. What you’ll have the opportunity to do as a Cloud Native DevOps Engineer • Build and manage AWS environments, • Develop Infrastructure as Code (Terraform / CloudFormation), • Create and maintain CI/CD pipelines, • Deliver cloud solutions in Agile teams, • Monitor and optimise performance and security, • Work across secure, enterprise environments About the Candidate • Strong AWS hands-on experience, • Experience with IaC tools (Terraform preferred), • CI/CD pipeline experience (Jenkins, GitLab CI etc.), • Docker / Kubernetes knowledge, • Scripting skills (Python, Bash or PowerShell), • Understanding of networking, security and monitoring What’s in it for you? • Salary ranging from £65,000 to £85,000, • Hybrid working model, • Opportunity to work on long-term, high-impact cloud programmes, • Career progression, • Comprehensive benefits package To hear more about the Cloud Native DevOps opportunity Contact Daire McIlhatton at daire.mcilhatton@ansonmccade.com

Information about the Organization: Eruditus and its sister company Emeritus provide Private Online Courses (SPOCs) to students all over the world. We have partnered with top schools across the globe, such as Columbia Business School, The Tuck School of Business at Dartmouth, MIT, Wharton, London Business School, Cambridge, and UC Berkeley Haas School of Business, to provide condensed, intense, practical, and convenient programs, which can either be conducted completely or partially online. EMERITUS enables working professionals who cannot enroll into full-time courses to access a top-tier, affordable education that will give them the skills needed to be the business leaders of tomorrow. The Emeritus and Eruditus global team include 1,000+ employees located in the US, Dubai, Mexico, India, China, and Singapore. Information about the Learning Facilitator role: Emeritus is seeking a Program Facilitator in RAG and Context Engineering: Designing and Building Production-Grade AI Systems for MIT xPRO. The Program Facilitator should function as both: a technical subject matter expert (SME), and a learning support partner capable of helping learners apply complex concepts in practice, through the 8-week online program. The facilitator must have industry experience and demonstrated knowledge of the course subject area; They will guide learners through complex topics, requiring significantly more than general familiarity with AI tools. The Facilitator should have hands-on experience building or working with retrieval-aware AI systems and enough practical depth to support live labs, troubleshoot learner challenges, and guide architectural reasoning throughout the program This is a great role for someone who wants work flexibility and the chance to diversify their resume with consultancy and teaching experience. This is an independent contractor position in a remote setting. Key Responsibilities of the Program Facilitator include but are not limited to: • Facilitate weekly office hours and moderate required discussion boards., • Facilitate lab sessions weekly., • Moderate and guide learner engagement during faculty live sessions., • Support learners in synthesizing live session content delivered by the faculty (e.g., AI tools in cybercrime, GRC frameworks, deepfake detection)., • Assist with capstone assignment challenges., • Collaborate with academic delivery managers to improve engagement and comprehension., • Monitor learner progress and provide support or escalation as needed. Qualifications for the role: • 10+ years of extensive work experience as an Applied AI Consultant, Solutions Architect, Developer Educator, Technical Product Manager, Search/Retrieval Engineer or AI/ML Bootcamp Instructor., • A bachelor’s degree is required; plus, a master’s degree is preferred in one of the following fields: engineering, artificial intelligence, machine learning or any related fields., • Hands-on experience building or experimenting with Retrieval-Augmented Generation (RAG) systems., • Experience working with LLM APIs (e.g., OpenAI, Anthropic, OpenRouter, Gemini)., • Experience implementing or testing AI-powered applications., • Familiarity with vector databases, embeddings, semantic search, and retrieval workflows., • Experience evaluating LLM outputs and diagnosing system failures., • Experience supporting technical learners in applied or project-based environments., • Solid experience with Large Language Models (LLMs) how they work conceptually, limitations, prompt engineering strategies, context windows and tokenization and trade-offs across different model providers., • Solid experience with Retrieval-Augmented Generation (RAG), RAG architecture, retrieval pipelines, chunking strategies, embeddings, vector search, hybrid retrieval, reranking and retrieval quality trade-offs., • Solid experience with Evaluation and System Diagnosis, evaluation frameworks, benchmarking approaches, qualitative and quantitative evaluation, retrieval metrics, output quality assessment, failure analysis, and iterative system improvement., • Solid experience with Agentic and Tool-Based Systems, AI agents, orchestration concepts, tool calling, memory systems, retrieval-aware agents, and multi-step workflows., • Strong knowledge with APIs and Technical Workflow Support, API-based workflows, Python notebooks/scripts, environment setup, debugging common technical issues, JSON structures, and reading technical documentation., • Experience supporting executive or mid-career professionals in continuing education is highly preferred., • Excellent communication, facilitation and interpersonal skills with an ability to listen effectively, respond appropriately, and maintain a mutual comfort level while working with a diverse population., • Ability to translate technical content into actionable insights., • Empathetic and learner-centered approach., • Comfortable in an online environment, navigating LMS platforms (Canvas), Zoom, Slack, or similar environments., • Strong organizational and time-management skills to manage weekly cycles of engagement and support. Program Description and Context: The RAG and Context Engineering: Designing and Building Production-Grade AI Systems program from MIT xPRO is an eight-week learning journey that equips participants to design, evaluate, and deploy retrieval-aware large language model (LLM) systems that perform reliably in real-world environments. In eight weeks, this program will provide participants with expertise in evaluation discipline, system auditing, retrieval-augmented generation (RAG) design, and the core principles that determine whether LLM systems succeed or fail in production. • Duration: 8 weeks (estimated learner commitment: 4–5 hours/week)., • Structure: Blend of asynchronous Canvas activities and live Zoom sessions., • Target Audience: Mid- to senior-level professionals and technical leaders seeking to build end‑to‑end RAG and LLM systems. Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal or state laws.

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! Чтобы повышать качество продуктов и выводить их на новый уровень, мы строим AI-first-культуру внутри инженерных команд: разрабатываем агентные воркфлоу, внедряем новые инструменты, измеряем прирост скорости — и в особенности следим за качеством результата. Поэтому мы ищем сильнейших экспертов, которые готовы внедрять и развивать AI практики внутри команд. Если ты работаешь с Unity, но хотел бы попробовать свои силы в С++, мы готовы тебе помочь. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте), включая внедрение и масштабирование AI-практик;, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (_);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI: Claude, Cursor, Codex с настроенными правилами репозиториев, растущим каталогом специализированных скиллов и агентских режимов под конкретные задачи. MCP-интеграциями с внутренней инфраструктурой (GitHub, Asana, Amplitude и тд). Агентские воркфлоу покрывают весь цикл: от генерации игровых элементов и автотестов до автоматического создания и ревью PR. Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года;, • Понимание AI-инфраструктуры, современных инструментов и умение встраивать их в процесс разработки. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт разработки мобильных казуальных игр. Как мы работаем с AI: • AI — стандарт инженерной работы в команде, а не опция. Используем ежедневно в разработке: от декомпозиции задач, навигации по кодовой базе до генерации и рефакторинга кода., • Ответственность за результат всегда остаётся за инженером. Любой сгенерированный код проходит те же проверки, что и написанный вручную: ревью, тесты, quality gates и валидацию в контексте продукта., • AI усиливает инженера, а не заменяет его. Мы ожидаем, что с помощью AI инженер сможет быстрее двигаться по задачам, брать на себя больший объём работы и эффективнее решать сложные проблемы., • Делимся рабочими практиками внутри команды. Хорошие сценарии использования AI, удачные подходы, правила работы с репозиторием и агентные воркфлоу становятся частью общей инженерной среды., • Постоянно улучшаем подход. Инструменты быстро меняются, поэтому мы ожидаем интереса к новым возможностям AI и готовности предлагать улучшения, если они реально повышают скорость и качество разработки. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера. Мы предлагаем: Гибкость в работе: Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся на результат, а не на место или способ выполнения задач. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Поддерживаем здоровый образ жизни и компенсируем покупку спортивных абонементов и подписку на фитнес-приложения. Развитие и обучение: • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Компенсируем изучение иностранного языка. Ивенты и мерч: • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (_). Вы можете отправить запрос в отношении ваших персональных данных по адресу: job@playrix.com.

💰 Up to £600/day | 6 months | Remote | Immediate Start I'm hiring for a Senior Python Engineer for an initial 6-month contract. The role is ideal for engineers who enjoy owning features end-to-end while spending the majority of their time building scalable backend services and APIs. This is a highly product-focused environment where contractors can make a genuine impact quickly, working closely with an established permanent engineering team. 📌 Key Information • 💰 Up to £600/day (INSIDE IR35), • ⏱️ 6 month initial contract, • ⚡ 1-stage interview process, • 🏠 Remote, • 🚀 Immediate starts available, • 📈 Potential for long-term extensions or permanent conversion 🛠️ Tech Stack / Environment • Python (core backend focus), • TypeScript + React (for fullstack feature ownership), • AWS, • API development, • Modern cloud-based product environment, • Collaborative scaleup engineering culture 🎯 What They’re Looking For • Strong Python backend engineering experience, • Comfortable owning API and service-layer development, • Ability to contribute across the stack when needed using React / TypeScript, • Experience working in product-led, fast-moving environments, • Engineers who can ramp quickly and deliver from day one They’re moving quickly, with interviews taking place this week, and can get people started within the next few weeks.

Senior Backend Engineer | Senior Software Engineer | Python | Remote UK 💰 £90,000 - £110,000 🏠 Fully Remote (UK) 💻 Python, Flask, AWS, PostgreSQL, Docker 🚀 High-growth consumer platform scaling rapidly We’re partnered with a high-growth consumer tech platform looking to hire a Senior Backend Engineer into a fast-moving product engineering team. The business has already scaled to hundreds of thousands of users and is continuing to grow quickly, with engineering at the centre of that growth. They’re building modern, real-time user experiences with a strong emphasis on speed, product quality, and continuous improvement. This role sits within a backend-focused team responsible for powering core customer experiences across web and mobile platforms. You’ll be building APIs, backend services, and scalable systems within an environment that ships to production daily. The stack is primarily Python on AWS, using technologies including Flask, PostgreSQL, Docker, Terraform, and cloud-native infrastructure. Strong backend engineering fundamentals are more important than exact stack match. What they’re looking for: • Strong backend engineering experience with Python, • Experience building and maintaining APIs, • Good understanding of scalable systems and backend architecture, • Cloud experience (AWS ideally), • Product-minded engineers who enjoy ownership and moving quickly, • Comfortable operating in fast-paced environments Why it’s interesting: • Fully remote engineering team, • High ownership environment with real product impact, • Modern backend/cloud infrastructure, • Strong engineering culture with continuous deployment, • Consumer product used at significant scale If you’d be interested in hearing more, feel free to reach out directly. Senior Backend Engineer | Python Engineer | Backend Developer | Remote UK

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Senior Cloud Migration Engineer Experience Level: 7+ years Employment type: Full Time Location: Remote (UK) What you will do: As a Senior Cloud Migration Engineer at Quantiphi, you will be instrumental in our Platform Engineering team, leading the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for our clients. This role requires experience in workload migration from on-premise datacenter environments to AWS, enabling clients to leverage the full potential of cloud capabilities. Basic Qualifications (BQs): Cloud Migration Expertise: • Understanding of different Migration approaches (Rs) with recent experience., • Experience with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures., • Previous work experience with tools like Cloud Endure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS). Good to have understanding of Database servers., • Expertise in AWS services, including EC2, S3, auto-scaling, Landing Zone, and Control Tower., • Proficiency in using AWS Migration Evaluator and Portfolio Assessment tools to analyze migration strategies., • Well-versed in service-oriented architecture and cloud-based web services architecture, design patterns, and frameworks., • Good understanding of Windows or Linux OS. Experience with troubleshooting Linux/Windows OS issues while migrating. Good to have handled Database server migrations also., • Strong knowledge of cloud-related services such as compute, storage, network, and messaging (e.g., SNS, SQS). Networking Skills: • Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect., • Experience with configuring Application Load Balancers (ALB) for effective traffic management. Automation and Deployment: • Proficient in scripting languages such as Python and Bash for automating migration tasks and processes., • Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform., • Strong understanding of IaC practices using tools like Terraform, CDK, and CloudFormation Templates., • Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers. Security and Compliance: • Strong understanding of AWS security best practices, including setting up IAM roles and policies for secure access., • Knowledge of compliance requirements relevant to data handling and migration processes. Configuration Management / Scripting and Programming: • Hands-on experience with scripting and programming languages such as Bash, Python, Core Java, and Scala., • Previous work experience on Configuration management and using tools like Ansible, Chef, Puppet, AWS SSM, etc. Other Qualifications (OQs): • Familiarity on-prem VMware ecosystem such as vSphere, vCenter, ESX, NSX., • Familiarity with vMotion, VM Export/Import and integrating with AWS., • Skills in monitoring cloud infrastructure and application performance using tools like Amazon CloudWatch., • Experience in optimizing database queries and application performance following migration., • Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer)., • Experience with relational SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Ability to build and manage container hosting platforms using Docker, Kubernetes, AWS EKS., • Familiarity with systems management and automation tools like Puppet, Chef, and Ansible., • Experience working in an Agile and DevOps environment. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Lead Data Engineer - Outside £600p/d | 3-6 month | Lead a Data Engineering function | HealthTech | Python, Spark, Data Bricks, AWS, Azure | Remote UK based G.Digital have exclusively partnered with an exciting HealthTech business looking to hire a Lead Data Engineer to help kick off a build of a brand-new Data Engineering function from the ground up. This isn’t your standard contract its a leadership role so definitely won’t suit everyone... 👀 🔥 Initially, you’ll be hands-on delivering a critical Data Engineering project expected to run for the first 3–6 months 🔥 From there, you’ll have the autonomy to define what the Data Engineering capability looks like moving forward, tooling, architecture, strategy and team build included 🔥 Huge opportunity to genuinely influence engineering direction within a scaling business What they’re looking for 👇 😍 Strong hands-on Data Engineering experience across Python, Spark, SQL and PySpark 😍 Experience working with hyperscaler cloud platforms such as AWS, Azure or GCP 😍 Exposure to modern tooling including Databricks, Microsoft Fabric and PowerBI 😍 Previous experience building, leading or mentoring Data Engineering teams What’s in it for you? 👇 📍 Day Rate £600p/d | Outside ir35 📍 Remote - Must be UK based 📍 Opportunity to kick off a greenfield build Interested? Drop me a message or email: 📩 p.rainford@g-digital.co.uk #DataEngineering #LeadDataEngineer #HealthTech #Databricks #AWS #Azure #Python #Spark #Hiring

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! Чтобы повышать качество продуктов и выводить их на новый уровень, мы строим AI-first-культуру внутри инженерных команд: разрабатываем агентные воркфлоу, внедряем новые инструменты, измеряем прирост скорости — и в особенности следим за качеством результата. Поэтому мы ищем сильнейших экспертов, которые готовы внедрять и развивать AI практики внутри команд. При этом опыт работы на С++ и/или в геймдеве совсем необязателен: у нас отличная система адаптации для комфортного перехода новичков с Unity и из других индустрий. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте), включая внедрение и масштабирование AI-практик;, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (_);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI: Claude, Cursor, Codex с настроенными правилами репозиториев, растущим каталогом специализированных скиллов и агентских режимов под конкретные задачи. MCP-интеграциями с внутренней инфраструктурой (GitHub, Asana, Amplitude и тд). Агентские воркфлоу покрывают весь цикл: от генерации игровых элементов и автотестов до автоматического создания и ревью PR. Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года;, • Понимание AI-инфраструктуры, современных инструментов и умение встраивать их в процесс разработки. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт разработки мобильных казуальных игр. Как мы работаем с AI: • AI — стандарт инженерной работы в команде, а не опция. Используем ежедневно в разработке: от декомпозиции задач, навигации по кодовой базе до генерации и рефакторинга кода., • Ответственность за результат всегда остаётся за инженером. Любой сгенерированный код проходит те же проверки, что и написанный вручную: ревью, тесты, quality gates и валидацию в контексте продукта., • AI усиливает инженера, а не заменяет его. Мы ожидаем, что с помощью AI инженер сможет быстрее двигаться по задачам, брать на себя больший объём работы и эффективнее решать сложные проблемы., • Делимся рабочими практиками внутри команды. Хорошие сценарии использования AI, удачные подходы, правила работы с репозиторием и агентные воркфлоу становятся частью общей инженерной среды., • Постоянно улучшаем подход. Инструменты быстро меняются, поэтому мы ожидаем интереса к новым возможностям AI и готовности предлагать улучшения, если они реально повышают скорость и качество разработки. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера. Мы предлагаем: Гибкость в работе: Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся на результат, а не на место или способ выполнения задач. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Поддерживаем здоровый образ жизни и компенсируем покупку спортивных абонементов и подписку на фитнес-приложения. Развитие и обучение: • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Компенсируем изучение иностранного языка. Ивенты и мерч: • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (_). Вы можете отправить запрос в отношении ваших персональных данных по адресу: job@playrix.com.

Lead AI Architect | Permanent | UK-Based | Public Sector 🔒 Security Clearance Notice: This role requires candidates to hold or be eligible to obtain UK Security Clearance (SC). Due to the nature of the projects, you will need to be British. These projects are UK eyes only. Are you building AI that actually matters? This isn't another POC role. We're looking for a Lead AI Architect to design and deliver production-grade AI systems for some of the UK's most high-profile public sector programmes — where the stakes are real, and the impact is measurable. What you'll do • Architect end-to-end AI systems (GenAI and traditional ML) built for production, not the lab, • Own the full technical lifecycle: model selection, deployment, MLOps, evaluation, and monitoring, • Deploy across cloud platforms (AWS Bedrock, Azure AI Foundry, GCP) and self-hosted GPU infrastructure, • Implement observability, security guardrails, and responsible AI frameworks from day one, • Lead cross-functional engineering teams and translate client needs into clear technical roadmaps, • Communicate with both engineers and senior stakeholders — and know when AI isn't the right answer What we're looking for • Proven track record delivering production AI/ML and GenAI at enterprise scale — real impact, not just prototypes, • Expert Python with hands-on experience in PyTorch, TensorFlow, LangChain, LangGraph, RAG pipelines, and LLMs, • Solid MLOps/LLMOps fundamentals: CI/CD for ML, model governance, and evaluation frameworks, • Broad cloud experience across AWS, Azure, and GCP — cloud-agnostic candidates preferred, • Background in a complex, regulated domain (public sector, defence, healthcare, or finance all relevant), • Strong leadership and stakeholder management skills No minimum education requirement — we care about what you've shipped, not what's on your CV. Demonstrate your expertise through experience, open source contributions, or a strong project portfolio. Sound like you? Apply below or get in touch directly.

Job Title: Junior Python Developer Location: UK Experience: 2–4 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. We are looking for a motivated Junior Python Developer to join our development team. The candidate will be responsible for writing clean and efficient Python code, developing backend applications, debugging issues, and collaborating with cross-functional teams to deliver scalable software solutions. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills., • Write, test, and maintain Python applications, • Develop REST APIs and backend services, • Debug and troubleshoot application issues, • Work with databases and third-party APIs, • Collaborate with developers, designers, and QA teams Requirements : • Basic knowledge of Python programming, • Familiarity with SQL and databases, • Understanding of OOP concepts, • Knowledge of Git/GitHub, • Good problem-solving and communication skills Qualifications : • Bachelor’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Senior Full Stack Developer TypeScript, React, Python, Django Prior start up or scale up experience required (Remote Europe) We’re looking for a Senior Full Stack Developer to take ownership of core product areas within an AI-powered creative platform used in real-world production environments. What we’re looking for: • 6+ years of professional engineering experience, • Strong full stack background: TypeScript, React, Python, Django, • Experience designing scalable systems and making architectural decisions, • Background in product-driven or start-up environments, • Bonus: experience with generative AI tooling or creative software What you’ll do: • Lead end-to-end delivery of generative AI features and user experiences, • Own and evolve backend architecture, APIs, and data models (Python, Django), • Build and scale complex, high-performance React applications (TypeScript), • Work hands-on with LLMs and image generation models, • Partner closely with product and growth to shape roadmap and execution Why join: • High ownership and technical influence, • Cutting-edge AI and generative visuals, • Fast-moving, impact-driven environment, • Clear opportunities for technical leadership and growth

You will contribute across the full project lifecycle, from early-stage development through to operations, by: • Building and refining simulation models for key components such as wind turbines, plant controllers, and grid interfaces (HVAC/HVDC systems, FACTS devices where relevant), • Carrying out power system assessments in PSS/E, including steady-state, fault, and dynamic performance studies, • Running detailed EMT simulations in PSCAD to analyse system behaviour under disturbances, switching events, and control interactions, • Handling OEM and vendor models, ensuring correct setup, validation, and ongoing management, • Producing structured, high-quality technical documentation suitable for both internal review and external compliance requirements, • Interpreting study results, identifying risks, and proposing practical engineering solutions, • Ensuring consistency with established engineering standards, methodologies, and QA processes You must hold the below Academic background in Electrical or Power Engineering, or equivalent practical experience Around 5+ years of hands-on PSCAD experience focused on EMT analysis Solid working knowledge of PSS/E for network and dynamic studies Experience dealing with third-party/OEM models, including parameterisation and validation Familiarity with automation tools or scripting (e.g. Python, MATLAB) to improve workflow efficiency

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

Pivotal Partners is exclusively partnered with a Series D ($1.1B) AI company defining the AI Software Development space. Backed by top-tier investors and founded by a deeply technical team (ex-Scale AI, Cursor, Modal, Google DeepMind, and Waymo), the company is already valued at $12B. With technical deployment and customer impact at the core of the GTM strategy, this Forward Deployed Engineer role is critical to how the product gets adopted, expanded, and defined in the real world. Location: London, England Role: Forward Deployed Engineer (FDE) As a Forward Deployed Engineer, you will own the technical success and real-world application of the platform across a number of our largest customers. This is a highly strategic, customer-facing engineering role focused on building, deploying, and iterating on solutions... not support. You’ll work directly with senior stakeholders (engineering, product, and leadership) to turn ambiguous problems into production-grade systems that influence real decisions. Why this role: • Opportunity to join and work with leading engineers from Anthropic, OpenAI, Palantir and Scale AI., • Highly technical role with direct exposure to real-world outcomes, • Work sits at the intersection of engineering, product, and strategy, • Genuinely new problem space — no established playbooks, • High ownership and autonomy from day one If you're an Software engineer/Full Stack Engineer who wants to move closer to the problem, the customer, and the decision making itself, this is worth a conversation. Responsibilities: • Own the technical relationship for a portfolio of enterprise customers, • Scope and break down ambiguous, high-impact problems into solvable components, • Design and build production-grade systems (APIs, data pipelines, integrations), • Deploy solutions into real-world workflows that directly influence decision-making, • Act as a trusted advisor to senior engineers, architects, and executives, • Translate customer use cases into actionable product and engineering insights, • Partner closely with Product and Engineering to shape roadmap and capabilities, • Help define and scale how this technology is applied across industries Requirements: • MUST HAVE A STEM degree, • Strong software engineering fundamentals (Python, TypeScript, or similar), • Experience building backend systems, data pipelines, or distributed systems, • Comfortable working with APIs, integrations, and modern infrastructure, • Ability to operate in ambiguous, fast-moving environments with minimal structure, • Strong communication skills across both technical and non-technical audiences, • Experience in customer-facing technical roles (FDE) is beneficial but not required

FIELD SERVICE ENGINEER - PERMANENT POSITION We are currently recruiting for a hands-on Field Service Engineer to support the deployment, maintenance, and optimization of an advanced vision-based Real-Time Location System (RTLS) across customer sites throughout the UK logistics sector. This customer-facing role combines installation, commissioning, fault finding, and ongoing technical support for cutting-edge AI-powered camera systems designed to improve operational safety and productivity in industrial environments. As a Field Service Engineer, you will work directly on customer sites, carrying out equipment installation, system configuration, diagnostics, preventative maintenance, and troubleshooting activities. You will act as a key technical contact for customers, ensuring systems operate reliably while delivering a high standard of service and support. The role offers exposure to advanced technologies including computer vision, AI-driven tracking systems, industrial networking, and safety solutions. You will work closely with internal engineering, product, and commercial teams, providing valuable field feedback to support continuous product improvement. This is a varied and highly practical role involving regular UK travel, customer interaction, and opportunities for long-term technical development as the business continues to grow. Key Responsibilities: • Install, configure, test, and commission RTLS hardware and software systems at customer locations., • Carry out on-site fault finding, diagnostics, and repairs to ensure maximum system uptime., • Provide first-line and second-line technical support to customers both remotely and on-site., • Perform preventative maintenance, system health checks, and performance optimisation activities., • Support customer training and handovers following installation and commissioning., • Work closely with customers to resolve technical issues quickly and professionally., • Assist with system upgrades, software updates, and configuration changes., • Complete service reports, installation documentation, and technical records accurately., • Support technical demonstrations and occasional trade show or customer event activities., • Collaborate with engineering and product teams to escalate recurring issues and provide field feedback., • Ensure all work is completed in line with health & safety and site compliance requirements., • Travel regularly across the UK to support customer sites as required. Skills & Qualifications: • 2+ years of experience in a Field Service Engineer, Service Technician, Installation Engineer, or similar technical role., • Degree, HNC/HND, apprenticeship, or equivalent qualification in Engineering, Electronics, Electrical Engineering, Mechatronics, or a related discipline., • Strong hands-on electrical, electronic, or electro-mechanical troubleshooting skills., • Experience working with industrial systems, CCTV/camera systems, networking, automation, or related technologies would be advantageous., • Interest in technologies such as computer vision, AI systems, RF technologies, and industrial safety applications., • Ability to diagnose and resolve technical faults independently in customer-facing environments., • Strong organisational and time-management skills with the ability to manage multiple service activities., • Comfortable working independently and travelling regularly to customer sites., • Excellent communication and customer service skills., • Good working knowledge of IT systems and networking principles., • Experience with Linux and Python would be beneficial but not essential., • Full UK driving licence and willingness to travel extensively across the UK., • Fluent in English, both written and spoken. The Offer: • A permanent, full-time employment contract, • A salary & benefits package commensurate with experience Please send over your CV to tom.walker@vividresourcing.com or call me on +32 (0) 3 318 00 74. As always, we are open to recommendations, so please feel free to pass this on to other suitable candidates.

Fully remote, UK-based £400 – £500 per day (Outside IR35) 3–6 Month Contract About Esenda Esenda powers over £1.5bn of inbound and outbound payments annually, in the education space - from tuition and catering fees to supplier payments and payroll. We’re a revenue-generating startup with strong product-market fit, and we’re growing fast. Join us now and you’ll work on impactful features that directly shape our platform and make a real difference to our customers. What you’ll do • Design, build, and ship reliable backend services and APIs in Python (Flask) that power core product functionality., • Own features end-to-end: data modelling (Postgres), API design, testing, production rollout and ongoing improvements., • Help uphold strong engineering standards through thoughtful code reviews, testing discipline, clean architecture, and pragmatic decision-making., • Improve service reliability and operability: monitoring, alerting, logging, runbooks, and reducing on-call toil over time., • Work closely with the technical team to scope product ideas, focused on delivering customer-facing outcomes (not just “tickets”)., • Contribute to delivery practices: CI/CD improvements, incremental shipping, and maintaining a high-quality codebase. What we’re looking for • 5+ years experience building and operating production backend systems., • Strong experience with Python, and hands-on use of Flask (or similar frameworks)., • Solid understanding of Postgres (schemas, migrations, query performance, transactions)., • Experience designing and maintaining APIs (REST; event-driven experience is a plus)., • Comfortable shipping in cloud environments—ideally AWS—and working with modern CI/CD pipelines., • A strong quality mindset: you care about maintainability, security, reliability, and clear documentation. Bonus points for • Payments/fintech knowledge (reconciliation, idempotency, auditability, ledger concepts)., • Experience with distributed systems patterns (queues, background jobs, retries, rate limiting)., • Security experience (threat modelling, OWASP-style concerns, secure API design)., • Familiarity with Terraform. Our stack • Backend: Python, Flask, • Data: Postgres, • Cloud: AWS, • Edge: Cloudflare, • Infrastructure as Code: Terraform, • Delivery: CI/CD, automated testing, observability tooling How we work • Pragmatic, high-ownership teams with a bias to shipping, • Clear communication, strong collaboration, and continuous improvement, • Code reviews and sensible standards that keep quality high without slowing delivery

Some engineering roles are about building something entirely new. Others are about taking a product that already solves real problems at scale and helping shape what comes next. This sits firmly in the second category. We’re working with a SaaS business operating in the information security, compliance and governance space. Their platform helps organisations navigate complex standards and regulatory requirements, replacing fragmented spreadsheets and manual processes with something structured, auditable and scalable. They’ve already built a product with market traction, an established customer base, and a platform used by organisations where trust, security and compliance matter. Now the challenge becomes how that platform evolves technically as both regulation and technology continue to shift. AI is a big part of that. As organisations adopt AI more aggressively, the conversation moves beyond “can we use it?” towards “how do we govern it responsibly?”. Auditability, traceability, risk management and operational oversight are becoming core engineering and product challenges, not just compliance exercises. That creates an interesting environment for engineers. You're joining a business already operating at scale, where the focus is now on evolving the platform, improving engineering capability, and building systems that support the next generation of governance and compliance challenges. Why this role is interesting: A product with real commercial traction → established SaaS platform already solving meaningful customer problems → giving you the opportunity to work on systems used in genuinely operational environments Interesting technical and domain complexity → governance, auditability, workflow management and compliance at scale → creating engineering problems tied directly to real-world business risk AI governance shaping future platform direction → rapidly evolving standards creating new product and engineering challenges → giving engineers influence over how the platform evolves technically Engineering maturity without excessive bureaucracy → established enough to have meaningful scale and structure → while still being small enough for engineers to have visible impact A business where technology is central to growth → product and engineering sit close to the core commercial strategy → rather than operating as a support function You’ll: • Build and evolve backend services primarily using Python., • Work closely with product and engineering teams on how the platform develops., • Contribute to architectural and technical decision making., • Improve scalability, reliability and maintainability across the platform., • Help evolve engineering standards, tooling and development practices over time., • Work on problems tied to governance, compliance and increasingly AI-related operational challenges. What we’re looking for: • Approx. 5 years+ Python engineering experience within modern SaaS environments., • Experience building scalable backend systems and APIs., • Solid understanding of relational databases, distributed systems and cloud environments., • Strong engineering fundamentals and a pragmatic approach to delivery., • Engineers who enjoy solving product and business problems, not just writing code in isolation., • Experience within compliance, security, governance or regulated environments beneficial but not essential. Location: UK Remote-first, with periodic team meetups in England South. Package: Up to £90k per annum + package. If this looks like a role for you, please apply now

Lead Machine Learning Engineer 12 Month FTC Remote UK, up to £90,000, 12 month fixed term contract This is a rare opportunity to take ownership of machine learning delivery in a business that is actively investing in AI and moving from proof of concept into production. You will play a pivotal role in shaping how advanced ML and generative AI solutions are engineered, deployed and scaled, with genuine scope for the role to become permanent. The Company They are a large, well established UK organisation operating in a highly regulated, information rich environment. With thousands of colleagues nationwide, they combine deep domain expertise with a strong focus on people, quality and long term outcomes. Data and AI are now a strategic priority, with senior backing to build robust, production grade ML capability. The Role • Lead the engineering and productionisation of machine learning and generative AI solutions., • Build and operate end to end ML pipelines, including data preparation, model deployment, monitoring and governance., • Work closely with data scientists and data engineers to turn experiments and POCs into scalable, reliable services., • Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines., • Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management., • Provide hands on technical leadership, contributing to architecture decisions and best practice., • Act as a delivery focused partner to stakeholders, confidently explaining trade offs and recommendations. Your Skills & Experience • Strong commercial experience as an ML Engineer or MLOps focused engineer, ideally with a software engineering background., • Proven ability to deploy, operate and maintain machine learning systems in production., • Hands on experience with cloud based data and ML platforms, particularly on Azure., • Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures., • Experience preparing data and pipelines for LLM based use cases and NLP workloads., • Strong Python skills, with experience building APIs or services, for example using FastAPI., • Confidence working across the full delivery lifecycle, from design through to monitoring and optimisation., • Clear communication skills and comfort working directly with non technical stakeholders. What They Offer • Excellent work life balance and a supportive, collaborative culture., • The chance to shape ML engineering standards and capability from the ground up., • Strong potential for the role to become permanent, with future people leadership opportunities. How to Apply If you are an experienced ML Engineer looking for a hands on role with real influence and long term potential, apply now to find out more.

Princeton Biopartners is a best-in-class strategy consulting firm serving the life sciences sector. We partner with Fortune 500 biopharmaceutical companies on strategic projects, combining advisory and software solutions to improve the evidence base, accessibility, and impact of biomedical innovations. Princeton Biopartners was also recognized with the “Evidence Generation Software of the Year 2026” award by Life Sciences Review for our innovation in AI-enabled evidence generation and planning solutions. We are looking for a part-time AI Software Engineering Intern (Full Stack) to support the development of digital solutions that complement our consulting work. This is a unique opportunity to apply your technical skills in healthcare and gain exposure to the business side of biopharma, while working closely with senior leadership. Learn more about our culture here: https://www.youtube.com/watch?v=zhTrmcIc-WE&t=2s Must Haves • UK-based (mandatory, remote role), • STEM background: pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or related field (top competitive programs preferred, such as at Oxbridge or Imperial), • Independent & proactive: able to take initiative, act autonomously, and deliver with limited supervision, • Technical curiosity: passion for building software that solves real-world problems, • Structured thinker: strong problem-solving and communication skills, • Product-minded: interested in user experience and pragmatic solutions, • Hands-on coder: capable of delivering clean, working code efficiently, leveraging AI where appropriate to maximize speed and output Key Responsibilities • Contribute to the design and development of web and data-driven applications, • Write clean, testable, and efficient code using modern web technologies, • Support data visualization and reporting tools for client projects, • Help deploy and integrate software solutions into consulting deliverables, • Maintain clear, well-structured documentation Technical Skills • Familiarity with modern web technologies (React, CSS, Node, Angular, etc.), • Proficiency in at least one general-purpose programming language (Python preferred; Java, C++, etc. also considered), • Understanding of core computer science principles (data structures, algorithms, complexity), • Exposure to DevOps practices (e.g., GitHub workflows, CI/CD), • Desirable: experience with Azure or healthcare-related data projects, • Bonus: interest in machine learning, data engineering, or visualization What You’ll Gain • Mentorship: opportunity to discuss and review your work with senior software and data engineers who have prior experience at Goldman Sachs, Microsoft, Uber, and McKinsey, • Real-world impact: apply technical skills to projects shaping healthcare strategy and evidence generation, • Flexibility: part-time hours that fit around academic or personal commitments. Minimum expectation is 5 hours per week, with a minimum duration of two months (longer-term commitment strongly desired), • Growth: mentorship, exposure to consulting, and potential for transition into a long-term role, • Compensation: competitive hourly rate, commensurate with experience Princeton Biopartners is committed to building a diverse and inclusive team. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy or related conditions), sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics.

Solutions Architect – Software United Kingdom | Full-Time | Hybrid/Flexible Working DV or eDV Clearance Required We are seeking an experienced Solutions Architect to join a high-performing technology team delivering secure, scalable, and innovative software solutions within complex cloud and cyber environments. This role is ideal for someone who enjoys solving challenging engineering problems, designing cloud-native architectures, and working closely with technical teams and stakeholders across the full software delivery lifecycle. You will play a key role in architecting secure, high-performing systems, supporting agile delivery teams, and driving modern engineering and DevSecOps best practices. The Role As a Solutions Architect, you will be responsible for designing, developing, and maintaining secure large-scale software solutions. You will collaborate with engineers, technical leads, delivery teams, and customers to translate business requirements into robust technical solutions. This position requires a strong technical background, excellent communication skills, and the ability to guide teams through complex architectural and cloud transformation initiatives. Key Responsibilities • Design and deliver secure, scalable, cloud-native software solutions, • Lead architectural decisions across modern distributed systems and microservices environments, • Support the full software development lifecycle from requirements gathering through to deployment and maintenance, • Collaborate with stakeholders to refine requirements and shape technical solutions, • Guide cloud migration strategies and hybrid-cloud approaches, • Support rapid prototyping and technical investigation activities, • Embed security best practices and DevSecOps principles throughout delivery, • Contribute to CI/CD pipelines, automation, and engineering standards, • Coach and mentor engineers, supporting technical development and best practices, • Promote Agile ways of working and continuous improvement across teams Skills & Experience We are looking for candidates with strong experience across cloud, software engineering, and solution architecture, including expertise in at least three of the following areas: Software Development • Strong programming experience in one or more of:, • Java, • Spring Boot, • Python, • JavaScript / TypeScript, • ReactJS, • Solid understanding of software engineering best practices and SOLID principles Cloud & Architecture • Strong experience with AWS or Azure cloud platforms, • AWS Solutions Architect certification (or equivalent) preferred, • Experience migrating on-premise systems into cloud environments, • Experience designing cloud-native applications and microservice architectures, • Understanding of observability, scalability, and security within distributed systems DevSecOps & Automation • Experience with CI/CD pipelines and automation tooling, • Knowledge of DevSecOps practices including SAST, DAST, and continuous testing, • Experience with tools such as Jenkins and GitHub Actions Containerisation & Testing • Experience with Docker or containerisation technologies, • Strong understanding of automated testing frameworks and BDD approaches including:, • Cypress, • Selenium, • Cucumber, • Behave, • Gherkin Agile Delivery & Leadership • Experience working within Agile delivery environments such as Scrum or Kanban, • Ability to mentor and coach junior engineers, • Strong stakeholder engagement and communication skills

Senior Founding Software Engineer (tech lead), Eye-Health Platform Location: Remote (UK-based preferred) Reporting to: CEO (Dhruvin Patel) Business: Ocushield: UK eye-health business with consumer products and a digital screening platform serving cash plans, insurers and corporate partners About Ocushield Ocushield is a UK eye-health business building both physical products and a digital eye-screening platform. We were founded by practising optometrists who saw a generation of people developing eye strain, fatigue and reduced focus earlier in life, driven by unprecedented screen use at work and at home. Today we sit at the intersection of health, performance and modern work. Alongside our profitable direct-to-consumer business, we work with cash plans, insurers and direct corporate customers who see eye health as the next frontier of workplace wellbeing. Our consumer business is profitable and our digital ARR is growing, with active commercial conversations underway with major UK health and insurance partners. We are now replatforming our digital screening product from a low-code tool to a native, data-centric platform. The tech lead, leads that work. The role You will lead the technical replatform of our digital eye-screening product to a native, data-centric platform. This is greenfield architecture from someone who has done it before. You will be hands-on coding, setting the architecture, working with a contractor who maintains the existing build, and shaping the engineering function as we grow. You will work directly with the founder and our clinical lead, Dr. Raj Kohli. This is not a co-ordination role. We are looking for a senior builder who can set the technical direction and ship the first version themselves. Why now • Our existing low-code platform has validated demand but cannot support the next stage of customer engagement, partner reporting, the recommendation engine, ecommerce attribution or scalable B2B growth., • The strategic goal is to turn the Screener into a vision-health engagement platform that captures structured, user-level data. A proprietary eye-health dataset is the long-term competitive moat., • Scaling fast across multi-national enterprise clients, • Active commercial conversations with major UK health and insurance partners give the platform a clear demand signal. What you’ll work on • Architect and build a native eye-screening platform to replace our low code solution, with full ownership of stack choices., • Build a user account system with progressive unlock, saved results and longitudinal tracking. Account creation before results is the central UX challenge: value needs to be visible both before and after sign-up to keep drop-off in check., • Build the structured data-capture and reporting layer for B2B partners across cash plans, insurers and retail pilots., • Build a recommendation engine that routes screening output to product and service recommendations, and captures why users ignore products, not just what they click., • Design symptom follow-ups at 30 and 90 days as a re-test experience, rather than as marketing prompts., • Manage the commercial relationship with the contractor who is maintaining the existing product in parallel., • Work with our clinical lead on safety review and clinical correctness, which runs in parallel with the build., • Shape the engineering hiring plan as the platform scales, likely one or two engineers in Year 2., • Set the technical standards, review process and operating model for the engineering function., • Brief and collaborate with our design/UX team member on user research and journey design, particularly the account creation flow which is the single biggest UX challenge for the replatform, • Own the technical contribution to product trade-off conversations: feature sequencing, scope cuts, technical debt acceptance What you’ll bring Experience • 6+ years’ engineering experience, with at least 2 to 3 years leading platforms end to end., • Strong full-stack capability on a modern web stack. Stack preferences are below; we are open to a candidate proposing alternatives., • Experience with greenfield builds and with legacy systems running in parallel., • Data-platform thinking. You understand the difference between collecting data and building a structured dataset that compounds in value., • Experience hiring and managing engineers. Mindset • Comfortable as a hands-on builder, not just an architect. You write production code., • Comfortable in a startup or early-stage scale-up environment, with ambiguity and direct ownership., • Pragmatic about trade-offs between speed, quality and what to leave for later. Tech stack preferences We have a working view of the stack but are open to the right person proposing alternatives: • TypeScript and Node.js, or Python, on the backend., • React or Next.js on the frontend., • PostgreSQL or a similar relational database for structured data., • Cloud-native on AWS or GCP., • API-first design., • Modern data tooling such as dbt, with an awareness of event streaming. Nice to have • Health-tech or regulated-industry experience, ideally medical-device adjacent or with GDPR-sensitive data., • B2B or B2B2C SaaS experience, particularly where employers or insurers are the buyer and employees are the users., • Experience integrating with insurer or benefits-platform APIs., • Experience with recommendation engines or personalisation., • Patent-eligible algorithm work. IP creation matters to us., • Familiarity with Embeddables or other low-code platforms, useful for the migration phase. How we work • Remote-first and async-friendly., • Small team, fast moving, founder-led., • Weekly stand-ups and quarterly off-sites., • We ship and iterate. We do not build for perfection., • Our clinical lead works alongside engineering on feature accuracy and safety. 💚 Why Join Ocushield? 👁️ Purpose-driven work Build technology that helps people protect their vision in a screen-heavy world. Real health outcomes, not vanity metrics, with products trusted by major UK healthcare partners. 🚀 Build something meaningful Architect our digital eye-health platform from low-code to a native, data-centric stack. Greenfield work that compounds in value over time as the proprietary clinical dataset grows. 🎯 Real ownership Work directly with the founder and our clinical lead. Decisions get made in days, not quarters. No middle layer between you and strategy. 🧠 Hands-on craft This is a building role, not a managing role. You write production code, set the architecture, and shape the engineering function as we grow. 🌱 Profitable and scaling We are not a burn-rate startup. The business is profitable, the digital platform is growing fast, and the platform you build powers the next phase. Why you shouldn't apply • You need rigid structure and fixed specifications, • You want a large team around you from day one, • You prefer maintaining systems over building new ones, • You’re not comfortable owning outcomes end-to-end, • If the idea of building something new, scrappy, and impactful excites you — not scares you — then you’ll thrive at Ocushield. Compensation • Remuneration up to £85,000 with stock options, • Pension, holiday and equipment budget on standard terms., • Remote-setup support.

STAFF DEVSECOPS ENGINEER Location: Remote | Type: Contract About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIO Review. As a remote-first company, we foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives. Newpage looks for candidates who are invested in long-term impact. Applications with a pattern of frequent job changes may not align with the values we prioritize. Your Mission Newpage is hiring a Staff DevSecOps Engineer to lead the security engineering posture of a strategic engagement with a global top-tier pharmaceutical company. As the technical anchor for the account, you will define how secure software is built, shipped, and operated across the client's cloud estate — spanning AWS, Azure, and GCP workloads — from research and clinical data platforms through to commercial and supply-chain systems. The client's strategic direction leans on AWS, and depth there is a meaningful advantage. You will partner closely with the client's CISO organization, cloud platform team, application teams, and quality and compliance functions to embed security as code into every pipeline. This is a hands-on principal-level role for someone who thrives at the intersection of cloud-native engineering, regulatory rigor, and developer experience. What You’ll Do Set DevSecOps Strategy & Standards • Define and own the DevSecOps reference architecture across the client's cloud estate — landing zones, account/subscription vending, identity, secrets, network segmentation, and workload isolation patterns — applied consistently whether on AWS (preferred), Azure, or GCP., • Set the multi-year roadmap for shift-left security, supply-chain integrity, runtime protection, and continuous compliance evidence collection across regulated and non-regulated workloads., • Act as the senior technical voice in client steering committees, security architecture reviews, and audit readiness sessions; translate regulatory intent into engineering requirements that teams can implement., • Mentor and coach Newpage and client engineers; raise the bar on secure coding, threat modeling, and incident response across the account. Engineer Security Into the Cloud Estate • Design and operate hardened, multi-account or multi-subscription landing zones — AWS Control Tower / Organizations / SCPs / Identity Center (preferred), Azure Landing Zones / Management Groups / Policy, or GCP Organization Policy / Folders — with guardrails enforced as code., • Build paved-road CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Azure DevOps, or Jenkins) with integrated SAST, DAST, SCA, secrets scanning, IaC scanning, container scanning, and SBOM generation., • Implement policy-as-code using OPA/Rego, Checkov, and cloud-native equivalents (AWS Config Rules / CloudFormation Guard, Azure Policy, GCP Organization Policy); enforce at pull-request time and in production., • Operationalize cloud-native security services end-to-end — AWS GuardDuty / Security Hub / Macie / Inspector / IAM Access Analyzer / KMS / Secrets Manager / WAF (primary), with working knowledge of Microsoft Defender for Cloud / Sentinel and GCP Security Command Center., • Lead Kubernetes and container security across managed offerings (EKS preferred; AKS, GKE accepted), including admission control, image signing (Sigstore/Cosign), runtime threat detection (Falco or equivalent), and Pod Security Standards enforcement., • Drive supply-chain security to SLSA-aligned maturity: signed builds, attested artifacts, dependency provenance, and verified deploys. Own Regulated & Pharma-Specific Controls • Engineer controls that satisfy GxP, 21 CFR Part 11, Annex 11, HIPAA, GDPR, and the client's global information security standards — without slowing delivery teams down., • Design continuous compliance evidence pipelines that auto-generate audit artifacts for FDA, EMA, and internal QA inspections, replacing manual screenshotting and ticket-based attestations., • Partner with Computer System Validation (CSV) and Computer Software Assurance (CSA) teams to align DevSecOps tooling with validated-state expectations for clinical, manufacturing, and pharmacovigilance systems., • Champion data protection for sensitive scientific IP, clinical trial data, and patient-adjacent datasets — tokenization, encryption strategy, and least-privilege access across cloud data services (e.g., S3 / Redshift / RDS / Lake Formation on AWS, or equivalents on Azure and GCP). Drive Detection, Response & Resilience • Engineer detection-as-code and response automation in collaboration with the client SOC; tune findings, suppress noise, and ensure every signal is actionable., • Run blameless postmortems for security incidents and near-misses; convert lessons into durable engineering improvements., • Establish security SLOs and meaningful metrics — mean time to remediate, control coverage, drift, and developer-impacting friction. Influence Across Client and Practice • Build trust with the client's senior security, platform, and quality leadership; become the person they call before launching a new initiative., • Contribute to Newpage's internal DevSecOps practice: reusable accelerators, case studies, hiring loops, and the next generation of senior engineers across the company. What You Bring • 8+ years of professional experience in security engineering, platform engineering, or SRE, with at least 4 years leading DevSecOps initiatives at scale., • Deep, current expertise with at least one major public cloud at production scale — AWS is strongly preferred (you have personally designed and operated multi-account environments with 50+ accounts); Azure or GCP at equivalent depth will be considered., • Working familiarity with at least one additional cloud beyond your primary — enough to design controls that translate cleanly across providers., • Strong hands-on coding skills in at least one of Python, Go, or TypeScript, and fluency in infrastructure-as-code with Terraform (cloud-agnostic mastery preferred; CDK, Bicep, or Pulumi also welcome)., • Demonstrable experience embedding security into CI/CD pipelines and developer workflows for engineering organizations of 200+ developers., • Working knowledge of Kubernetes security on at least one managed offering (EKS preferred; AKS or GKE accepted) — including network policy, admission control, and supply-chain controls., • Track record of operating in a regulated industry — pharma, healthcare, financial services, or critical infrastructure — and translating compliance frameworks into engineering controls., • Excellent written and verbal communication skills; comfortable presenting to a client CISO one day and pairing with a junior engineer the next., • Nice to have Direct experience with pharma or life-sciences workloads: GxP, 21 CFR Part 11, Annex 11, CSV/CSA, pharmacovigilance systems, or clinical data platforms., • Nice to have Exposure to threat modeling frameworks (STRIDE, PASTA), MITRE ATT&CK, and threat-informed defense., • Nice to have Experience with policy-as-code (OPA/Rego, Cedar) and continuous compliance platforms (Wiz, Prisma Cloud, Orca, Drata, Vanta) at enterprise scale., • Nice to have Hands-on with secret management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager) and zero-trust networking patterns., • Nice to have Relevant certifications such as AWS Security Specialty (preferred), Azure Security Engineer Associate, Google Professional Cloud Security Engineer, CISSP, CCSP, OSCP, or GIAC GCSA — credentials are a signal, not a substitute for evidence., • Nice to have Familiarity with AI/ML pipeline security and the emerging risks around generative AI in regulated environments. What We Offer At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer: • Flexible, remote-first work – Choose where you work best while staying connected to a global, collaborative team., • A people-first culture – Supportive peers, open communication, and a strong sense of belonging., • Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges., • Balance that lasts – We respect your time and support a healthy integration of work and life., • Room to grow – Opportunities for learning, leadership, and career development, shaped around you., • Meaningful rewards – Competitive compensation that recognizes both contribution and potential. Ready to Apply? Let’s build the future of health together. Apply below or reach out to Bhavik.rathod@newpage.io with any questions.

Senior Fullstack Engineer (frontend leaning) | £85k - £95k | Remote 🚀 We’re partnering with a fast-growing future-of-work platform that’s reshaping how leading brands hire and manage freelance talent globally. Backed by an experienced leadership team from some of Europe’s most successful scale-ups, they’re now looking for a Senior Fullstack Engineer (frontend leaning) to help scale a product used by thousands of freelancers and businesses worldwide. ✨ The Role You’ll join a highly collaborative product engineering team, owning features end-to-end across a modern TS, React + Python stack while helping shape the future of the platform. • Build and ship user-facing features across frontend and backend systems, • Help evolve and maintain a scalable design system and component library, • Drive performance, quality, and developer experience across the product, • Collaborate closely with Product and Design from early discovery through delivery, • Work with modern AI-assisted engineering workflows and tooling 🎨 What They’re Looking For • Strong experience with React and TypeScript in production environments, • Experience building scalable design systems or reusable component libraries, • Solid understanding of modern web architecture, browser behaviour, and performance, • Comfortable working across the stack, ideally with some Python/Django exposure, • Experience working in fast-moving product teams with strong ownership mentality ☀️ Salary, Location & Setup • Up to £85k - £90k+ base salary, • Very flexible hybrid working setup, • London-based team with occasional visits to the office, • Open to UK-friendly timezone remote candidates, • Strong benefits package including healthcare, pension, learning budget, and generous annual leave If you’d be interested in hearing more please apply with your CV!

Meet Eloquent AI (YC X25) At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments. We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. About the role: As a Full Stack Engineer at Eloquent AI, you will lead the development of AI-powered full-stack applications while overseeing and mentoring other engineers. You’ll remain hands-on across the stack, but also take ownership of technical direction, code quality, and delivery standards. You’ll work closely with engineers, AI researchers, and product teams to ensure scalable, reliable systems that power real-time AI-driven workflows. This role requires strong engineering fundamentals, leadership capability, and the ability to operate effectively in a fast-paced, AI-first environment. You will: • Design and build full-stack applications that power AI-driven workflows for enterprise users., • Oversee and review the work of other engineers, ensuring high-quality, production-ready code., • Provide technical guidance, architectural direction, and hands-on support where needed., • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation., • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation., • Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems., • Establish engineering best practices across testing, deployment, and performance optimisation., • Continuously iterate and refine AI-driven products, balancing speed with robustness. Requirements: • 4+ years of hands-on experience building full-stack production applications., • Bachelors degree in Computer Science (Masters degree in Computer Science would be a big plus)., • Proficiency in React, TypeScript, and Node.js., • Backend experience using Python., • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Understanding of AI-powered applications (LLMs, chat interfaces, agentic workflows)., • Ability to work in a fast-paced, high-autonomy environment., • Strong collaboration skills across engineering, product, and AI teams. Bonus Points If… • You have experience building AI-powered applications with LLM integrations., • You’ve worked in high-performance startups or enterprise AI environments., • You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces., • You have experience with GraphQL, WebSockets, or real-time data streaming., • You’ve contributed to open-source projects or have built developer tools for AI. Whats on offer: • Salary up to £110k., • Meaningful early equity., • Remote-first setup anywhere in the UK, with occasional trips to meet up with the global team., • A chance to work with some of the smartest and most dedicated engineers and leaders you'll find anywhere.

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

About the Opportunity DevSecOps Engineer specializes in designing and implementing secure infrastructure architecture within our multi-cloud environment. This role focuses on building security-first infrastructure solutions, threat detection systems, and compliance frameworks across AWS and Alibaba Cloud platforms. Where You Will Make a Difference • Design and implement secure multi-cloud infrastructure using Terraform/Terragrunt with security best practices, • Design and implement secure CI/CD pipeline infrastructure with SAST/DAST integration and security gates, • Architect and deploy Azure Sentinel SIEM infrastructure with Logic Apps for automated incident response, • Build and maintain Cloudflare Zero Trust network architecture, tunnels, and security policies, • Develop Infrastructure as Code templates for secure Kubernetes clusters with network policies and RBAC, • Implement comprehensive secrets management infrastructure using AWS Secrets Manager and HashiCorp Vault, • Design security monitoring infrastructure with centralized logging using ELK stack and FluentBit, • Build automated vulnerability scanning infrastructure and remediation workflows, • Implement database security hardening for MySQL, PostgreSQL, and Redis clusters, • Design network segmentation and micro-segmentation strategies for containerized environments, • Develop security automation tools and infrastructure for threat hunting and incident response, • Architect backup and disaster recovery infrastructure with security controls and encryption, • Build security testing infrastructure for application and infrastructure vulnerability assessments Who You Are • 10+ years of Infrastructure Security/DevSecOps experience in enterprise environments, • Expert-level Terraform/Terragrunt skills for secure infrastructure provisioning, • Deep knowledge of AWS security services (GuardDuty, Security Hub, Config, CloudTrai, EKS, ECR, RDS, EC2, ECS, S3l), • Proficiency in Kubernetes security architecture (Pod Security Standards, Network Policies, RBAC), • Hands-on experience with infrastructure vulnerability scanning and hardening, • Expertise in network security architecture and Zero Trust implementation, • Strong knowledge of container security and image scanning infrastructure, • Experience with SIEM/SOAR infrastructure design and implementation, • Understanding of PKI infrastructure and certificate management at scale, • Knowledge of database security architecture and encryption strategies, • Experience with infrastructure compliance automation and policy as code, • Proficiency in security automation scripting (Python, Go, Bash), • Ability to design secure CI/CD infrastructure and supply chain security, • Strong infrastructure troubleshooting and security incident response skills Nice to have • Security certifications (CISSP, CCSP, AWS Security Specialty, AWS Solution Architect, AWS DevOps Professional), • Knowledge of service mesh security architecture (Istio, Linkerd), • Familiarity with infrastructure security scanning tools, • Experience with security orchestration and automated remediation platforms, • Understanding of threat modeling and security architecture review processes, • Knowledge of infrastructure penetration testing and red team exercises, • Experience with security metrics and KPI infrastructure for executive reporting Why Join Us • Recognised as one of Switzerland’s Best Managed Companies by Deloitte in 2024 and 2025, • Bi-annual company-wide trips, including Armenia in 2023 and Switzerland in 2025, with more to come, • Fully remote work from Germany, the UK, Armenia, or France, • A flexible, employee-focused culture, • An innovative and collaborative team environment, • Great working conditions designed to support your best work

AI Knowledge Graph Lead Remote up to £150,000 base We’re partnering with an AI-driven technology company looking to hire an AI Knowledge Graph/ Ontology Lead to build and scale the knowledge graph layer underpinning a new generation of intelligent enterprise products. This is a senior, hands-on leadership role for someone who has real experience designing and shipping production knowledge graphs, not just conceptual ontology work. You’ll be responsible for shaping a graph and ontology platform that powers: • AI retrieval and RAG workflows, • Entity linkage and reasoning systems, • Cross-domain and temporal knowledge modeling, • Regulatory and compliance intelligence products, • Agentic AI applications The role combines architecture, hands-on engineering, and team leadership. You’ll work closely with AI/ML engineers to turn complex, unstructured information into structured, queryable intelligence that directly feeds live AI systems. Key experience includes: • Strong Neo4j and Cypher expertise in production environments, • Deep ontology / taxonomy modeling experience, • Python engineering skills, • Knowledge graph integration with LLMs, RAG, or vector search systems, • Experience balancing formal semantics with pragmatic implementation, • Ability to lead technically while remaining hands-on Additional experience in areas such as RDF/OWL, inference engines, entity resolution, legal/regulatory data, ESG, healthcare, or pharmaceutical domains would be highly valuable. The company offers: • A highly technical AI environment, • Significant ownership and architectural influence, • Fast decision-making and direct access to leadership, • Strong adoption of AI-assisted development tooling, • Flexible working arrangements and competitive compensation Ideal for someone excited by the challenge of building the intelligence layer behind complex AI products at scale. Please apply for more details

Senior Spacecraft Software Engineer Glasgow, UK - Hybrid £85,000 - £100,000 Depending on experience & Qualifications We are proud to be supporting a world-leading space-to-cloud analytics company in their search for a Senior Spacecraft Software Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. The Opportunity Our client owns and operates one of the world's largest multi-purpose satellite constellations, delivering advanced maritime, aviation, and weather tracking globally. Their infrastructure spans a proprietary satellite constellation, a global ground station network, and 24/7 operations providing real-time coverage of every point on Earth. This role sits at the intersection of satellite payloads, scientific computing, and data delivery systems. You will be responsible for developing and maintaining both the flight and ground software that powers GNSS-based satellite missions, working across system layers from embedded software through to mission data pipelines. It is a high-impact, high-autonomy position where technical breadth and ownership are essential. Key Responsibilities Flight & Payload Software • Develop and maintain scientific and command & control software for GNSS-based satellite payloads, • Work across embedded system layers to ensure accurate and timely scientific data output, • Engage with payload developers and mission operators to evolve software in support of scientific objectives Ground Systems & Data Delivery • Build and operate ground-based automation systems for data extraction, transformation, and delivery, • Collaborate with flight operations to troubleshoot and ensure consistent, high-quality data delivery, • Participate in code reviews, testing, and documentation to maintain software reliability and traceability What We're Looking For Our client is seeking a Senior Spacecraft Software Engineer with deep technical foundations in embedded systems and GNSS signal processing. You'll take strong ownership of your work and be comfortable operating independently across hardware and software boundaries. Core Requirements • Proficient in Embedded C/C++ for hardware development in constrained environments, • Solid background in DSP techniques and theory, particularly in the context of RF or GNSS signal processing, • Hands-on experience with GNSS signal processing algorithms and/or scientific applications such as GNSS-RO, GNSS-R, or PNT Desirable • Python proficiency and ability to pick up new tools and languages as needed, • Experience with cloud-based systems (e.g. AWS), backend development, and scalable data storage, • Prior experience working on satellite payloads or in the aerospace domain, • Experience building telemetry and data visualisation tools, • Contributions to open-source scientific or aerospace-related software projects Why This Role Stands Out • Work on a real, operational satellite constellation delivering mission-critical scientific data globally, • High autonomy from day one, design, build, and own your work end-to-end, • Join a technically exceptional team operating at the cutting edge of space and clean technology infrastructure, • Generous benefits including education assistance, stock purchase programme, fitness reimbursement, family leave, and more, • An opportunity to contribute to work that genuinely improves life on Earth Apply via Cleantech Talent This role is being managed exclusively by Cleantech Talent on behalf of our client. If you have the background and ambition to take on this challenge, we would love to hear from you. Please apply directly through LinkedIn or reach out to the Cleantech Talent team with your CV and a brief note on your interest and relevant experience. All applications are handled in strict confidence.

Iron Mountain is seeking a skilled and experienced Desktop Systems Engineer to join our Information Technology team. In this role, you will be responsible for the lifecycle management, compliance, functionality, and security of our Apple ecosystem and Windows endpoints, specifically covering macOS, iOS, and iPadOS devices. You will act as a subject matter expert, offering deep technical support, managing vulnerabilities, and driving the automated deployment and maintenance of our Mac fleet to ensure an exceptional user experience. What You'll Do (Responsibilities) In this role, you will: • Endpoint Lifecycle & Configuration Management: Manage the entire software and hardware lifecycle for Apple devices. This includes designing and maintaining a zero-touch deployment strategy using Apple Business Manager and Kandji, building custom software packages (.pkg, .dmg), and curating a Self-Service application catalog., • Vulnerability, Patching & Compliance: Proactively manage security vulnerabilities, system hardening (CIS benchmarks), and operating system/application patching across the Mac fleet in line with company SLAs to ensure minimal disruption to users., • Automation & Infrastructure Support: Utilize scripting languages (Bash, Zsh, Python) to automate repetitive tasks and streamline processes. Collaborate with the global team to optimize our MDM infrastructure (Kandji) and oversee Managed Apple IDs., • Technical Support & Troubleshooting: Diagnose, track, and resolve complex performance and compatibility issues across macOS platforms. Provide prompt, expert support via ticket queues within established SLAs, and escalate issues with partners like Apple as needed., • Cross-Platform & Secure Environment Support: Provide similar systems engineering support for Windows devices and operate effectively in secure environments requiring security clearance. What You'll Bring (Skills & Qualifications) The ideal candidate will have: • Professional Experience: relevant experience as a Systems Engineer alongside of experience as a Support Engineer, preferably within a large corporate environment managing a large fleet (1000+) of Mac devices., • Technical & MDM Expertise: In-depth knowledge of macOS, iOS, and iPadOS system internals. Hands-on experience with modern MDM solutions is required, with expert-level knowledge of Kandji highly preferred (experience with Jamf Pro or Workspace ONE is also valuable)., • Tools & Automation: Strong scripting skills for automation using Bash, Zsh, and/or Python. Practical experience with Apple Business Manager (ADE/DEP, VPP), Tanium management tools, and ITSM platforms like ServiceNow., • Problem-Solving & Collaboration: Proven ability as an innovative thinker and creative problem-solver who can build effective working relationships within a global, collaborative team environment., • Education & Certifications: A Bachelor’s degree or equivalent experience (Apple Certifications are highly valued). Non-traditional and neurodiversity learners and thinkers are warmly welcome., • Security & Communication Requirements: Excellent written and oral communication skills in English. Candidates must be eligible or approved for UK Government security clearance. What We Offer (Benefits) • Location: 100% Remote (UK-based). Candidates must be located in the UK and maintain the flexibility to travel to Iron Mountain Warehouses or Offices if specific project requirements arise., • Compensation: Competitive compensation and benefits aligned with your professional experience., • Work-Life Balance: Flexible work options to support a healthy work-life balance alongside paid time off and holiday allowances., • Health & Wellness: Comprehensive health, wellness, and retirement plans., • Career Growth: Continuous learning opportunities and pathways for professional development within a global organization.

Lead Machine Learning Engineer UK - remote, 35 hour work week Up to £95k + bonus 12m FTC (strong view to go permanent) A professional services firm is looking for a Lead Machine Learning Engineer to join its growing data and AI team. This is a key role focused on building and leading ML engineering capability, delivering scalable AI solutions, and shaping the organisation’s data and AI strategy. The role • Lead the development of machine learning engineering capability across the business, • Design, build, and productionise ML models and data products, • Develop and implement MLOps frameworks (CI/CD, model deployment, monitoring, governance), • Build scalable data and ML pipelines on Azure-based platforms, • Collaborate with data scientists, analysts, and stakeholders to deliver end-to-end AI solutions, • Contribute to data architecture, standards, and best practice across the organisation, • Provide technical leadership, mentoring, and guidance to engineers and wider teams What they’re looking for • Strong experience in ML engineering, MLOps, and data/AI architecture, • Proven track record delivering end-to-end ML solutions in cloud environments (Azure preferred), • Expertise in Python, Spark/PySpark, and modern data platforms (e.g. Databricks), • Hands-on experience with NLP and LLMs, including deployment and optimisation, • Experience building scalable pipelines, model governance processes, and production systems, • Ability to translate business requirements into robust technical solutions, • Strong stakeholder management and leadership experience Why apply • Opportunity to build and shape ML engineering within a growing data function, • High-impact role with ownership of architecture, tooling, and best practice, • Exposure to modern AI and LLM use cases, • Clear pathway to a permanent role Please note: sponsorship is not available for this role.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Job Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: • 2-4 years of experience in Data science/Machine learning models from coding to deployment., • Work with datasets using Python or R, SQL, No SQL., • Assist in developing predictive and statistical models, • Write and optimize queries using SQL., • Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability., • Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch. Preferred Skills: • Hands on experience in coding (mandatory python and SQL or C++)., • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Familiarity working with large data sets., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

AgileSource are looking for 2 Senior Full Stack Developers to join a growing IT Consultancy. This is an excellent opportunity for a Senior Full Stack Developer looking to start on a contract while having a clear pathway into a permanent, long-term position. We are looking for someone to initially come in on a Contract but someone who is open to joining the organisation on a Full-Time Basis. Contract: £400 P/D Perm - £60,000 - £75,000 + Benefits DOE Key Responsibilities: • Lead development across the full stack (frontend & backend), • Build and maintain scalable applications using TypeScript, React, and Python, • Collaborate closely with DevOps to ensure reliable deployments and system performance, • Design and implement RESTful APIs and system integrations, • Improve and modernise existing platforms, including refactoring legacy code, • Translate user stories into robust, production-ready solutions, • Support live environments by troubleshooting and resolving issues, • Contribute to Agile ceremonies, planning, and backlog refinement, • Drive best practices across engineering, including testing, CI/CD, and code quality, • Explore and apply AI-assisted development tools where appropriate Key Requirements • Proven experience as a Senior Full-Stack Engineer, • Strong expertise in JavaScript / TypeScript and React, • Backend development experience with Python (e.g. FastAPI) or Node.js, • Experience designing and integrating REST APIs, • Strong understanding of cloud platforms (ideally GCP), • Experience working in Agile environments, • Solid knowledge of CI/CD, Git, and modern engineering practices, • Excellent communication skills and ability to work in distributed teams Desirable • Experience working on ITSM, data platforms, or digital transformation programmes, • Exposure to AI tools / APIs and AI-assisted development workflows, • Experience refactoring legacy systems at scale

Contract AI Engineer | Outside IR35 | Agentic AI / LLMs / RAG Conquer AI is hiring a Contract AI Engineer We’re looking for a highly capable, hands-on AI Engineer with a strong traditional software engineering background and deep applied AI experience. This is an Outside IR35 contract working on greenfield AI projects for enterprise clients. You’ll be helping design and build real-world systems using LLMs, RAG, vector databases, agentic AI, and workflow automation. This is not a research-only role. We need someone who can build production-grade systems, integrate with existing platforms, and move quickly from problem definition to working software. What you’ll be working on: Agentic AI workflow automation LLM-powered applications RAG and knowledge systems Vector database architecture and retrieval pipelines Document intelligence and information extraction AI systems that connect into business workflows API integrations and backend services Greenfield client projects and internal Conquer AI product work Core skills we’re looking for: Strong machine learning experience Strong traditional software engineering background Python Node.js TypeScript LLMs RAG Vector databases Agentic AI systems Workflow automation API integrations Backend engineering You’ll be a strong fit if you: Have built real AI systems beyond prototypes Can design and ship reliable backend services Understand retrieval, ranking, chunking, embeddings, and evaluation Have experience integrating LLMs into business workflows Can work with ambiguity and move quickly Are comfortable working with client-facing teams Can turn vague business problems into working technical solutions Care about practical delivery, not just experimentation Nice to have: Experience with AWS, Azure, or GCP Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar Experience with Pinecone, Weaviate, Qdrant, Chroma, pgvector, or similar Experience with document processing, OCR, structured extraction, or enterprise search Experience in consulting, enterprise delivery, SaaS, or startup environments About Conquer AI Conquer AI builds bespoke agentic AI systems for enterprise clients. We work with clients to understand their workflows, identify where AI can automate or augment work, and build practical systems that operate inside their existing environment. Our work spans document intelligence, workflow automation, knowledge retrieval, operational copilots, AI agents, data extraction, and enterprise integrations. Contract: Outside IR35 Location: UK-based preferred Working style: Hybrid / remote, with occasional client or team sessions Start: ASAP Engagement: Contract If you’re a strong software engineer with serious applied AI experience and you want to work on meaningful agentic AI systems, we’d like to speak with you.

Palantir Data Consultant – Defence & Security Bristol, London or Manchester DV Clearance Eligible Required The Opportunity An exciting opportunity to join a growing Technology & Transformation capability supporting high-impact Defence & Security programmes. This role sits at the intersection of data engineering, architecture, and business transformation, delivering mission-critical solutions using the Palantir platform. Key Responsibilities • Design, build, and optimise data pipelines and ETL workflows within Palantir Foundry, • Develop scalable data models and architect robust Foundry solutions, • Transform complex, multi-source data into structured, high-quality assets, • Implement data governance, lineage, and quality frameworks, • Develop applications within the Palantir ecosystem (low-code and pro-code), • Collaborate with cross-functional teams using agile methodologies, • Translate business requirements into technical solutions that deliver measurable outcomes Required Experience & Skills • Hands-on experience with Palantir Foundry and/or Gotham, • Strong background in data engineering, including ETL and pipeline development, • Experience working with batch, streaming, and unstructured data, • Proficiency in Python and/or TypeScript, • Understanding of data modelling, system design, and scalable architectures, • Knowledge of data governance, metadata management, and security principles, • Strong communication skills with the ability to engage technical and non-technical stakeholders, • Familiarity with SDLC, version control, and CI/CD practices Security Requirements Candidates must have an active UK Developed Vetting (DV) clearance.

Node.js Contractor – AI Tool Replatforming Remote | Outside IR35 | £450–500/day We are looking for an experienced Node.js contractor to help replatform and modernise an internally developed AI-driven data platform. The existing tool was rapidly developed by a member of the technical team using AI-assisted development tools and is currently running locally on a laptop environment. We now need an experienced engineer to rewrite/refactor the application into a secure, production-ready Node.js solution suitable for deployment within our server infrastructure. The Role You will take ownership of analysing the current Python-based application and rebuilding/refactoring it into a scalable and maintainable Node.js platform. The application: • Pulls data from multiple external sources including:, • RSS feeds, • Websites, • APIs, • Processes and stores data within a database, • Includes a front-end interface for displaying and interacting with the data A key part of the engagement will be ensuring the rebuilt platform is secure, robust, and capable of passing penetration/security testing. Required Skills & Experience • Strong commercial experience with Node.js, • Experience refactoring or rewriting existing applications, • Solid understanding of secure software engineering practices, • Experience building applications that integrate with APIs, web scraping, and data feeds, • Database design and integration experience, • Front-end development capability (React/Vue/modern JS frameworks beneficial), • Experience deploying applications into production server environments, • Understanding of authentication, security hardening, and application resilience, • Ability to work independently and make pragmatic architectural decisions Desirable • Previous experience working with AI/LLM-powered applications, • Python experience to help interpret the existing codebase, • Experience preparing systems for penetration testing/compliance review, • DevOps/cloud infrastructure experience Contract Details • Contract: Outside IR35, • Rate: £450–500 per day, • Location: Fully remote, • Start: ASAP, • Duration: Initially 10-12 weeks but potential for extension We’re looking for someone pragmatic, technically strong, and comfortable taking an early-stage internal tool and turning it into a secure, production-grade platform.

About Esenda Esenda powers over £1.5bn of inbound and outbound payments annually, in the education space - from tuition and catering fees to supplier payments and payroll. We’re a revenue-generating startup with strong product-market fit, and we’re growing fast. Join us now and you’ll work on impactful features that directly shape our platform and make a real difference to our customers. What you’ll do • Design, build, and ship reliable backend services and APIs in Python (Flask) that power core product functionality., • Own features end-to-end: data modelling (Postgres), API design, testing, production rollout and ongoing improvements., • Help uphold strong engineering standards through thoughtful code reviews, testing discipline, clean architecture, and pragmatic decision-making., • Improve service reliability and operability: monitoring, alerting, logging, runbooks, and reducing on-call toil over time., • Work closely with the technical team to scope product ideas, focused on delivering customer-facing outcomes (not just “tickets”)., • Contribute to delivery practices: CI/CD improvements, incremental shipping, and maintaining a high-quality codebase., • You’ll join an on-call rotation (1 week in 4) compensation: paid as an extra £300 per on-call week. What we’re looking for • 5+ years experience building and operating production backend systems., • Strong experience with Python, and hands-on use of Flask (or similar frameworks)., • Solid understanding of Postgres (schemas, migrations, query performance, transactions)., • Experience designing and maintaining APIs (REST; event-driven experience is a plus)., • Comfortable shipping in cloud environments—ideally AWS—and working with modern CI/CD pipelines., • A strong quality mindset: you care about maintainability, security, reliability, and clear documentation. Bonus points for • Payments/fintech knowledge (reconciliation, idempotency, auditability, ledger concepts)., • Experience with distributed systems patterns (queues, background jobs, retries, rate limiting)., • Security experience (threat modelling, OWASP-style concerns, secure API design)., • Familiarity with Terraform. Why join us? • £60k salary + equity, • 40 days holiday (incl. bank holidays), • Pension scheme (3% employer contribution), • Fully remote, UK-based, with 3 in-person meetups per year, • A transparent, collaborative, and supportive culture Our stack (today) • Backend: Python, Flask, • Data: Postgres, • Cloud: AWS, • Edge: Cloudflare, • Infrastructure as Code: Terraform, • Delivery: CI/CD, automated testing, observability tooling How we work • Pragmatic, high-ownership teams with a bias to shipping, • Clear communication, strong collaboration, and continuous improvement, • Code reviews and sensible standards that keep quality high without slowing delivery Interview process • 30-min intro call (role fit, values, ways of working), • Practical exercise (small take-home or pairing session), • Technical interview (backend fundamentals, API design, production thinking), • Team chat + Q&A

Early-stage AI startup operating within the accessibility and communication technology space. The business is building advanced AI-driven products that combine machine learning, motion capture, computer vision, and 3D technologies to solve real-world communication challenges. The team is small, highly collaborative, and research-driven, so they are looking for someone who enjoys working across multiple disciplines rather than staying within a narrow specialist remit. This is a broad technical role with strong exposure to cutting-edge AI applications, product development, and customer interaction. The successful candidate would work closely with founders and senior leadership, helping shape both the technical direction of the product and the wider growth of the business. What the Role Will Involve • Developing and improving AI/ML models used within the core platform, • Working on motion capture pipelines and 3D character/animation systems, • Supporting computer vision and perception-based projects, • Optimising models and inference pipelines for performance and scalability, • Contributing to product architecture and technical problem solving across the business, • Collaborating with customers to understand requirements and support deployments, • Working with 3D engines such as Unreal Engine (Unity exposure also relevant), • Supporting experimentation and R&D around emerging AI technologies, • Potential involvement in:, • Grant applications, • Technical documentation, • Investor/ fundraising support, • Product demonstrations Ideal Background: The company is particularly interested in people who are: • Strong technically with the ability to learn quickly, • Comfortable in startup environments with changing priorities, • Self-managing and proactive, • Interested in AI-for-good / mission-driven technology, • Happy working across engineering, product, and customer-facing activities, • Excited by building products from an early stage Relevant technical exposure could include: • Computer Vision, • Machine Learning / Deep Learning, • Motion Capture, • PyTorch / TensorFlow, • CUDA / TensorRT optimisation, • OpenCV / MediaPipe, • ONNX, • 3D engines (Unreal / Unity), • Cloud platforms (AWS / GCP), • Python and/or C++ Working Setup • Fully remote team, • Occasional travel may be required for workshops, motion capture sessions, or customer-facing activity

Moodsonic uses sound to improve how indoor spaces feel. Our platform delivers adaptive soundscapes for workplaces, hospitals, universities, and other shared environments shaping daily life, integrating with hardware, building systems, and an array of applications to respond dynamically to activity levels, time of day, environmental sensors, and user input. The work sits at the intersection of audio, real-time systems, and human experience. The role We are hiring a Senior Software Engineer to own the backend that the entire product stack sits on: services, data layer, identity and authentication infrastructure, partner-facing integration APIs, device communication, and the security posture. You will own, evolve, and build the systems that power our internal tooling, customer-facing applications, partner integrations, and hardware deployments, strengthening what is already in production and shipping what comes next. You will be the technical lead on production engineering, security, and code quality, building on the foundations the team has put in place. As Moodsonic scales, you will keep the platform safe, reliable, and defensible. You are joining a team where colleagues hold deep domain knowledge. You will need to build trust, collaborate well, and lead through influence rather than authority. This is not a management role. The platform is live and growing quickly, with real customers and real consequences. What you'll work on In your first six to twelve months: • Own and evolve the backend platform: services, data layer, infrastructure, APIs. Strengthen what is in production today, design what is missing, and build what comes next, • Own the backend side of how our deployed hardware connects to the platform: ingestion, device authentication, fleet management, and remote provisioning. Visibility and input into on-device code decisions, because device security is platform security, • Own the identity, authentication, and account layer of the platform, • Own and operate our data protection posture across the platform: encryption in transit and at rest, key management, data lifecycle, and recovery, • Own the partner-facing integration APIs end to end, from design through operation. These are the surfaces our customers and hardware partners build against, and their reliability is our reputation, • Own the engineering practices that support our certifications and audit-readiness, • Establish and maintain the engineering standards (testing, review, deployment, monitoring, secure coding) that the team operates by, • Partner with the engineers owning the audio engine and frontend surface on the backend contracts their work depends on What we are looking for Required: • 5+ years shipping and operating production backend systems, including time on-call and in incident response. You know what it feels like when something breaks at 2am and you own the fix, • Operational resilience as a habit: you design for failure, build with recovery in mind, and treat incident learning as a driver of engineering quality, • Strong judgment in small-team environments. You have owned quality yourself rather than inheriting it from process. You can take high-level product, customer, or security needs and turn them into practical technical plans without a big PM or architecture layer handing you a spec, • Deep relational data modeling and schema design. Postgres or equivalent as a daily tool. Strong instincts for migrations, indexing, and query performance under load, • API design experience: you have built and maintained APIs that outlived their first version and you have opinions about versioning, compatibility, and contract discipline, • Identity and authentication systems experience: modern identity protocols (OAuth or similar), session management, role-based access, multi-tenant boundaries. You understand what breaks when these are wrong, • Security mindset in practice, not theory. You think about attack surface, threat models, and access control as a matter of course, with working knowledge of cryptography and data protection fundamentals, • Code quality and observability as habits. Tests, substantive review, documentation, and the instinct to measure how software behaves in production are part of doing the work, not chores after it, • Strong Python for backend services. Comfortable with SQL, Docker, at least one major cloud, infrastructure as code (Terraform, Pulumi, or equivalent), and modern CI/CD practices, • Modern AI development tools are part of how you ship. You stay current as they evolve, adopt what adds value, and use AI to go faster on work you already understand, which is why you catch AI mistakes before they become bugs, • Demonstrated technical leadership through influence, not authority: you raise the bar through code review, standards, and example, and you have earned trust from engineers who were there before you, • Pride in craft, proactive risk-flagging, and the instinct to raise quality bars rather than work around them. Intellectual honesty and the willingness to push back when the right answer is unpopular, • Clear written and verbal communication, particularly when working asynchronously across time zones Valued: • Designing systems that interface with deployed hardware: device fleets, provisioning flows, secure OTA updates, telemetry ingestion, • Shipping to enterprise customers, incident response commitments, and contractual security obligations, • Experience inside a compliance-driven environment (SOC 2, ISO 27001, HIPAA, or equivalent) or building for auditability as a default, • Kubernetes and modern container orchestration, • Additional backend language fluency (Node or TypeScript, Go, Rust) for polyglot service work, • Audio, signal processing, or real-time systems background, • AI and machine learning in product contexts: audio generation, personalization engines, training and serving pipelines Not required but welcome: • Interest in sound, music, acoustics, or the wellbeing applications of audio Team and how we work You will join a small, senior team distributed across the UK, Europe, and the US West Coast. We run a weekly product cadence, work asynchronously by default, and rely on clear written communication to stay aligned across time zones. Compensation and benefits Base salary £65,000 to £85,000, calibrated to experience. Equity will be a material part of the package. Benefits include private medical insurance for UK employees, 28 days paid holiday inclusive of UK holidays, flexible remote-first working. UK right to work is required. How to apply Send a short note, your CV, and links to work you are proud of. Please include three to five sentences on a production system, API, identity/auth, or platform hardening project you owned.

Who We Are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically. What You'll Work On End-to-End AI Delivery Ownership • Own technical delivery from design alignment through production rollout and Stabilization, • Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements, • Ensure solutions align with Ema's agentic architecture and platform capabilities Hands-On Engineering • Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions, • Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems, • Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed, • Work with data stores such as PostgreSQL, Clickhouse, Elastic, and Redis to shape scalable, extensible schemas for customer deployments Feasibility Judgment & Agentic Workflow Translation • Develop deep understanding of each customer's business processes, systems, and constraints, • Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built, • Anticipate where AI implementations break: integrations, data quality, scale, edge cases Customer Leadership (Post-Sales) • Be the primary technical point of contact for customer business and IT stakeholders during implementation, • Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes, • Communicate progress, risks, and decisions clearly across technical and executive audiences Production Readiness & Stabilization • Stand systems up in multi-tenant SaaS environments and harden them for production, • Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance), • Track success through adoption signals and outcome metrics — not just feature shipment, • Stabilize systems post go-live under real pressure Cross-Functional Collaboration • Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering, • Feed customer learnings back into product and platform improvements, • Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team Ideally, You'd Have • 5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure, • Bachelor's degree in Computer Science or related field, • Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots, • Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming, • Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems, • Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular), • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), • Experience deploying and operating software in multi-tenant SaaS environments, • Understanding of security best practices and protocols for enterprise software, • Track record of owning customer-facing delivery end-to-end — production, scale, and accountability, • Background in fast-growing startups or enterprise platform companies, • Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders, • Experience working with global, distributed teams Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Our client is a fast-growing, venture-backed technology company transforming a large, complex industry through artificial intelligence and modern data infrastructure. We’re building AI-powered products that combine advanced automation with human expertise to improve operational workflows, reduce friction, and create better customer experiences at scale. As an early-stage team, we’re focused on solving meaningful challenges using modern technology and creating a culture where ownership, innovation, and impact matter. We’re looking for a Data Engineer to build and scale the data foundations that power our platform, customer experience, analytics, and AI systems. *Fully Remote - Salary Dependant on Experience (£80,000-£120,000) The Role: As a Data Engineer, you'll design and operate the infrastructure that moves, transforms, and structures data across our systems. You'll work across ingestion pipelines, transformation layers, monitoring, customer onboarding, and analytics while partnering closely with product, engineering, and AI teams. This is a hands-on role with meaningful ownership and the opportunity to influence how data architecture evolves as the business scales. Responsibilities: • Design and build reliable end-to-end data pipelines connecting customer systems, internal platforms, and AI-generated outputs, • Create and maintain transformation layers that convert raw data into trusted, documented datasets, • Develop dashboards and analytics solutions for both internal teams and customer-facing insights, • Implement monitoring, alerting, and data quality checks to proactively identify issues, • Lead customer data onboarding by mapping datasets and building scalable integration processes, • Improve performance and optimize warehouse costs as data volumes grow, • Collaborate with backend, AI, and product teams to align operational and analytical systems, • Establish best practices for data modeling, testing, documentation, schema management, and code review, • Support and improve AI-driven workflows and data capabilitie Requirements: • 5+ years of experience in data engineering within production environments, • Strong Python and SQL skills, • Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or similar, • Hands-on experience with transformation frameworks such as dbt or Spark, • Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks, • Strong understanding of data modeling principles across analytical and operational systems, • Experience with monitoring and data quality tooling, • Familiarity with CI/CD practices and testing for data workflows, • Comfortable working with emerging technologies, including AI-assisted development tools What We Offer: • Flexible working arrangements, • Competitive compensation and potential equity participation, • Modern tools and equipment, • Opportunities for rapid growth and meaningful impact, • Collaborative and highly talented team environment

Head of AI • Global infrastructure & engineering group, • Location: London / Remote (UK), • £140-180k A globally recognised engineering and infrastructure business is hiring a Head of AI to build and lead its AI capability from the ground up. Operating across multiple continents and delivering complex, high-impact projects, the organisation is now investing heavily in AI, modern engineering practices, and governance as part of its next phase of transformation. This is a senior, high-impact role sitting within the IT leadership team, with a clear mandate to define AI strategy, introduce governance, and scale a capability with significant long-term investment behind it. What you’ll do • Define and deliver the organisation’s AI strategy and governance framework, • Build and scale a high-performing AI & engineering capability (incl. 3rd party teams), • Embed security-by-design principles across AI and software development, • Bridge the gap between technical teams and business leadership, • Drive adoption of modern platforms, tools, and engineering standards What I’m looking for: • Strong software or data engineering background with a hands-on edge, • Experience operating in large, complex, or global environments, • Proven ability to lead teams and influence at senior/executive level, • Track record delivering AI or advanced data solutions in production, • Strong communicator, able to translate technical concepts into clear business value, • Experience with Azure, Python This role suits someone who enjoys building from scratch, operating with autonomy, and delivering tangible impact in a fast-moving environment. If this sounds of interest, please apply with your CV to find out more! Head of AI

We are looking for GenAI and Agentic Engineers to join a leading global business and technology transformation consultancy within its Data Science and AI practice. This role focuses on the end-to-end design, development, and deployment of intelligent systems that combine Generative AI models, agentic frameworks, and full-stack engineering. You will work at the intersection of strategy and technology, helping clients move beyond rapid prototyping to scale production-grade AI products that solve complex business challenges. Key Responsibilities • Design, develop, and deploy both front-end and back-end components for AI-powered applications, with a focus on GenAI and agentic solutions, • Architect agentic workflows incorporating Human-in-the-loop (HITL) gates, auditability, policy controls, and robust evaluation frameworks for regulated environments, • Translate business requirements into technical AI architectures, leveraging data science and analytics to deliver high-standard client outcomes, • Collaborate with cloud architects, data scientists, and product managers to transition early-stage PoCs into scalable MVPs and production systems, • Support business development activity by building AI demonstrators for client showcases and contributing technical expertise to proposals and RFPs, • Contribute to internal practice development through the creation of whitepapers, campaign development, and the refinement of AI service offerings, • Facilitate knowledge sharing and mentoring within the engineering team to maintain high delivery standards and pace Requirements • Experience operating within a major consulting firm or a high-growth industry environment with a consulting mindset, • Proven track record of delivering full-stack applications across the entire lifecycle, from PoC to secure, production-grade solutions, • Technical proficiency in Python (3.10+), TypeScript/JavaScript, and SQL, • Experience with backend frameworks (FastAPI, Django, or Flask) and modern frontend stacks (React.js, Next.js, Tailwind CSS), • Proficiency in cloud environments, specifically Azure (OpenAI, AKS) or GCP (Vertex AI), including experience with Docker and CI/CD pipelines, • Strong stakeholder management skills, with the ability to collaborate with both technical and non-technical client sponsors, • Eligibility for UK security clearance (requires 5 years of continuous UK residency) Desirable Experience • Experience with Agentic frameworks such as LangChain, CrewAI, Autogen, or OpenAI Agents, • Familiarity with RAG pipelines, MCP, and LLM evaluation tools like LangSmith or TruLens, • Knowledge of software engineering best practices, including Clean Code (SOLID), TDD, and modular architecture, • Experience building AI-specific UX patterns, such as streaming, provenance citations, and error-recovery loops Why Apply? This is an opportunity to join a specialist AI and Data Science team within a global transformation partner. You will work on high-impact projects across both public and private sectors, moving technology from experimental stages into the real world. The role offers the freedom to explore the latest models and frameworks, supported by a culture that values ethical technology and innovation. The organisation provides a clear path for professional growth, a flexible hybrid working model, and the opportunity to shape the future of agentic AI within a Tier-1 consultancy environment.