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About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: 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 Required Skills: • 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), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • 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 Nice to Have: • 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’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

GCP Cloud Consultant - Platform & AI Engineering Fully Remote (UK Only) A specialist cloud engineering consultancy is supporting a major global logistics organisation through a large-scale transformation programme, migrating core enterprise platforms from Microsoft Azure to Google Cloud Platform (GCP). As part of this programme, the consultancy is expanding its permanent engineering capability and is seeking a GCP-focused Consultant or Senior Consultant to join its cloud platform team. This is a hands-on engineering role within a high-performing delivery environment, with strong emphasis on GCP platform engineering, infrastructure automation, and AI/ML enablement using Vertex AI. The Opportunity The successful candidate will join a specialist cloud engineering team responsible for designing, building, and operating modern cloud-native platforms on GCP. You will work closely with senior engineers and architects to deliver scalable, secure, and production-grade cloud solutions as part of a major enterprise migration programme. This role is ideal for someone with solid GCP experience who is looking to deepen their expertise in platform engineering, Kubernetes, Terraform, and AI/ML workloads. Key Responsibilities • Contribute to the design and delivery of a large-scale Azure to GCP migration programme, • Build and operate cloud-native platforms using GCP services (GKE, BigQuery, Pub/Sub, Cloud Storage, etc.), • Develop Infrastructure-as-Code solutions using Terraform, • Support CI/CD pipeline development and automation practices, • Work with Kubernetes-based workloads, primarily on GKE, • Support the implementation of AI/ML solutions using Vertex AI and related GCP services, • Collaborate with cross-functional teams including cloud, data, security, and application engineers, • Contribute to best practices across cloud security, scalability, reliability, and cost optimisation Required Skills & Experience • Minimum 3+ years hands-on experience with Google Cloud Platform (GCP) – essential, • Practical experience with Vertex AI or other GCP AI/ML services – essential, • Strong experience with Terraform and infrastructure-as-code practices, • Good understanding of Kubernetes and containerised environments (preferably GKE), • Experience in cloud engineering, DevOps, or platform engineering roles, • Familiarity with CI/CD pipelines and automation tooling, • Experience working in enterprise-scale or consultancy environments, • Strong engineering mindset with ability to work across platform, data, and application layers Desirable Experience • Exposure to Microsoft Azure in hybrid or migration environments, • Experience working on cloud migration programmes, • Knowledge of data platforms such as BigQuery or similar, • Interest in AI/ML, MLOps, or data engineering practices, • Experience working in regulated or large-scale enterprise environments About the Role This is a permanent opportunity within a specialist cloud consultancy delivering a high-profile global transformation programme. The role offers deep exposure to GCP platform engineering and AI-driven cloud solutions, with a clear progression path into senior engineering or architecture responsibilities. Additional Information • Location: Fully remote (UK only), • Type: Permanent, • Level: Consultant / Senior Consultant, • Core focus: GCP platform engineering, Vertex AI, Terraform, Kubernetes, Azure-to-GCP migration Why Apply? This is a strong opportunity for a GCP engineer looking to join a specialist environment delivering meaningful enterprise-scale cloud transformation work. You will gain hands-on experience with modern GCP and AI platforms, while building towards a long-term senior technical career path within a growing consultancy practice. Apply now online for more information.

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

📱 Junior .Net Developer | Building the Future of Mobile !! IMMEDIATE JOINERS !! Junior .Net Developer (Android) Location : London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Junior .Net Developer (Android) with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits].

📱 Junior Android Developer | Building the Future of Mobile !! IMMEDIATE JOINERS !! Mobile Engineer (Junior Android Developer) Location : London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Junior Android Developer with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits].

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The Site Reliability Engineer (SRE) is responsible for ensuring the availability, reliability, and optimal performance of critical platform services and applications across Orange Logic’s global infrastructure. This role involves proactive monitoring, incident response, root cause analysis, and continuous improvement to meet internal and external user requirements. The SRE will collaborate closely with infrastructure, development, and operations teams to maintain service excellence in a remote, cloud-based environment. Essential Functions: Application and System Support: • Monitor, administer, and troubleshoot application performance and infrastructure health using observability tools., • Analyze and resolve application issues, provide timely status updates, and perform thorough root cause investigations., • Respond to alerts, outages, and system degradations, executing recovery procedures and supporting post-incident reviews., • Implement and manage infrastructure using Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Puppet., • Administer cloud-native services (e.g., EC2, S3, RDS, Kubernetes) on AWS, Azure, or Google Cloud., • Develop and maintain automation scripts to streamline deployments, configuration management, and repetitive tasks., • Deploy and maintain application monitoring tools such as Prometheus, Grafana, and ELK stack., • Plan and execute application and configuration change procedures with minimal disruption., • Support scheduled maintenance activities including patching, updates, and server health checks., • Collaborate with Development, Infrastructure, and Production Support teams to optimize system performance and scalability., • Identify and implement process improvements to enhance service reliability and deployment efficiency., • Stay informed on the latest industry practices and tools related to site reliability, DevOps, and cloud infrastructure. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • 8+ years of experience in site reliability, DevOps, or production engineering roles with increasing responsibilities., • Strong knowledge of distributed systems, cloud platforms (AWS, Azure, GCP), and containerized environments (Docker, Kubernetes)., • Proficient in SQL and scripting languages (Python, Bash, PowerShell)., • Extensive experience with observability stacks and automated alert systems., • Familiarity with web protocols, networking fundamentals, and API performance optimization., • Demonstrated ability to lead cross-functional initiatives and influence without authority., • Excellent verbal and written communication skills with a focus on clarity and action., • Experience mentoring engineering teams and conducting architectural or reliability reviews. Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing engineering team we’d like to hear from you. Apply today! Note: Orange Logic only communicates with candidates through official @orangelogic.com email addresses or via LinkedIn from a verified Orange Logic Talent Acquisition employee listed under “Meet the Hiring Team.” We do not conduct interviews via text message or request payment for equipment purchases at any stage of the hiring process. By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • 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. Skills: • 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). Nice to Have: • 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: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

!! IMMEDIATE JOINERS !! Software Engineer Location : Bournemouth / Scotland / London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Software Engineer with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits]. #java #android #software #dotnet #c++ #c #immediatejoiner #softwaredevelop #developer

Role: Data Entry Specialist Location: Remote Employment Type: Full-time Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $35,000 – $50,000 (USD equivalent), plus benefits. Role Overview We are hiring a Data Entry Specialist to capture, validate, and maintain high-quality data across our systems. The role combines speed, accuracy, and a sharp eye for inconsistencies that others might miss. Key Responsibilities • Enter data into spreadsheets, databases, and CRM platforms with high accuracy, • Validate and clean existing records to remove duplicates and correct inconsistencies, • Cross-reference data from multiple sources to ensure completeness, • Generate routine reports and pull lists as requested by stakeholders, • Flag anomalies and quality issues to the operations lead, • Meet daily throughput and accuracy targets Required Skills and Qualifications • Strong typing speed (50+ WPM) with high accuracy, • Proficiency in Microsoft Excel and Google Sheets, • Attention to detail and ability to spot errors others miss, • Familiarity with CRM tools such as Salesforce or HubSpot is a plus, • Ability to maintain focus on repetitive tasks for extended periods, • Reliable internet connection and a quiet home workspace What You'll Bring • A systems thinker who breaks complex problems into actionable steps, • Strong written communication and stakeholder management, • Bias toward action and the ability to drive things to completion, • Comfort working asynchronously across time zones What We Offer • Fully remote, flexible work hours, • Performance-based bonus structure, • Annual learning & development stipend, • Health and wellness benefits (varies by location), • Opportunity to work on high-scale, real-world impact projects Equal Opportunity Statement This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.

At Valcon, we help organisations unlock the full value of data, AI and digital platforms by building scalable, automated cloud foundations. We are looking for a Senior Principal in Cloud Engineering to lead the design and delivery of enterprise-scale cloud platforms that support modern data, AI and application workloads. This is a senior consulting leadership role responsible for shaping client cloud strategies, designing modern platform architectures and leading complex transformation programmes. You will work with executive stakeholders to modernise legacy infrastructure, establish platform engineering capabilities and enable organisations to deploy and scale digital products at speed. The role combines strategic architecture, transformation leadership and deep cloud engineering expertise, helping clients move from manual infrastructure operations to automated, resilient and scalable cloud platforms. Key Responsibilities Client Advisory & Capability Building • Act as a trusted advisor to CIO, CTO and platform leadership teams on cloud platform transformation., • Lead architecture workshops and strategic engagements with senior stakeholders., • Translate business ambitions for data, AI and digital innovation into scalable cloud architectures., • Establish Cloud Engineering Centres of Excellence (CoE) within client organisations., • Define operating models, engineering practices and reusable platform components., • Support pre-sales activities including proposals, client pitches and solution shaping, bringing technical leadership into the sales cycle., • Identify and develop opportunities within client accounts to expand cloud and platform engagements. Cloud Platform Strategy & Architecture • Lead large-scale cloud modernisation programmes, transforming legacy infrastructure into automated cloud-native platforms., • Define enterprise cloud platform strategies supporting Data, AI and digital product develop, • Design target-state architectures enabling scalable, secure and automated infrastructure across cloud environments., • Define policy-as-code frameworks and automated governance models ensuring security, compliance and cost optimisation., • Embed resilience, observability and disaster recovery into enterprise platform design, • Ensure cloud environments align with Well-Architected Framework principles., • Design modular infrastructure frameworks and reusable blueprints enabling consistent and scalable deployments., • Identify technical debt and operational bottlenecks and design modernised infrastructure architectures to support long-term scalability., • Enable development, data and AI teams to deploy platforms and workloads independently at scale., • Lead the adoption of Infrastructure as Code (IaC) and platform engineering practices across client organisations. Internal Capability & Thought Leadership • Contribute to the development of Valcon’s Cloud and Platform Engineering capability, shaping propositions, standards and go-to-market offerings., • Mentor and support the development of engineering and architecture talent across the organisation., • Act as a leading voice within Valcon and externally, evangelising cloud as a business value driver through thought leadership, client engagement and industry presence. Skills & Experience • Strong consulting background with the ability to engage CIO/CTO-level stakeholders, lead architecture workshops and translate business strategy into scalable technology solutions., • Ability to translate strategic objectives into practical platform architectures., • Proven experience designing enterprise-scale cloud platforms that support data, AI and digital products., • Deep understanding of modern cloud architecture across AWS, Azure or Google Cloud., • Experience implementing Infrastructure as Code and automated platform provisioning using tools such as Terraform, Bicep or CloudFormation, enabling scalable and repeatable deployments., • Experience establishing platform engineering capabilities, cloud landing zones and reusable infrastructure blueprints that enable engineering teams to deploy applications and data platforms at scale., • Strong track record of leading large-scale cloud modernisation and platform transformation programmes, working with senior stakeholders to move organisations from legacy infrastructure to automated cloud-native platforms., • Experience contributing to pre-sales activities, including proposals, solution shaping and client presentations., • Experience combining delivery leadership with business development, contributing to revenue growth and client development.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Admin Assistant – Sheffield (Two Sites) Salary: £13.00 per hour Hours: Monday to Friday, 07:30–16:00 Location: Sheffield (travel required between two sites) About the Role We’re looking for a proactive and organised Admin Assistant who’s confident working across two busy sites in Sheffield. This role is ideal for someone who enjoys variety, can manage their own workload, and is comfortable using digital tools to support day‑to‑day operations. Key Responsibilities Provide general administrative support across both sites Use Facebook Marketplace to upload, manage and monitor listings Take clear, high‑quality photos using a phone or camera Create and post content on social media platforms Maintain and update spreadsheets (basic data entry and organisation) Support the team with any additional admin tasks as needed Travel between two Sheffield sites as part of the working day What We’re Looking For Confident using Facebook Marketplace and social media Able to take good photos for online listings Basic spreadsheet skills (Excel, Google Sheets or similar) Reliable, organised and able to work independently Must have a valid driving licence and access to a vehicle Positive attitude and willingness to learn What We Offer £13.00 per hour Consistent Monday–Friday daytime hours Supportive team environment

Job Title: Java Developer – Developer Experience Platform - Sheffield Job Description Join a collaborative engineering team building a modern Developer Experience platform that helps control owners and development teams manage and view their compliance with software development controls. You will work primarily with Kotlin to develop microservice-based web applications and APIs, contributing to several applications and proofs of concept within a cloud-native, agile environment. This role suits someone proactive, detail-oriented, and comfortable working across back-end services with a small element of simple UI development. Responsibilities Collaborate closely with developers, testers and colleagues across the wider organisation to build, enhance and run high-quality products. Design, develop and implement back-end features according to the product backlog and priorities, with a small amount of simple front-end work where required. Work on web applications that use a straightforward UI framework, focusing primarily on robust back-end and API development rather than complex front-end engineering. Contribute to the design and launch of new features in partnership with the rest of the engineering team, ensuring solutions are scalable, maintainable and secure. Build, maintain and optimise APIs and microservices that underpin the Developer Experience platform. Engage proactively with internal customers to understand their needs, resolve issues and respond to feature requests in a timely and professional manner. Operate within an agile CI/CD environment to deliver frequent, high-quality iterations at a sustained and predictable velocity. Participate actively in peer code reviews, providing constructive feedback and helping to maintain high coding standards. Create and maintain automated test scripts, and contribute to testing colleagues’ code to ensure reliability and quality. Use standard developer collaboration tools such as Git-based repositories and agile tracking platforms to manage work, documentation and collaboration effectively.Essential Skills Practical Experience in Java, or significant Experience in a comparable modern programming language with a strong willingness to learn Kotlin quickly. Proven Experience in at least two or three of the following areas: API development, SQL and relational databases, HTML, and JavaScript. Substantial hands-on Experience working with microservice architectures, including designing, building and maintaining microservices. Strong technical and analytical troubleshooting skills, with the ability to diagnose and resolve complex issues in distributed systems. Experience working in an agile environment, including the use of agile methodologies and collaboration practices. Experience using standard developer collaboration tools such as GitHub or Bitbucket for version control, and Jira and Confluence or similar tools for work tracking and documentation. Excellent attention to detail and strong writing skills, producing clear, maintainable and well-documented code. Proactive working style, taking initiative to move work forward and resolve blockers without waiting for direction. Strong English communication skills, both written and spoken, enabling effective collaboration with technical and non-technical stakeholders.Additional Skills & Qualifications Good working knowledge of cloud technologies such as AWS, Azure and Google Cloud Platform (GCP). Experience with Kubernetes for container orchestration in a microservices environment. Familiarity with Spring Boot or similar frameworks for building Java or Kotlin-based microservices. Experience working with CI/CD pipelines and modern DevOps practices. Comfort using issue tracking and documentation tools such as Jira and Confluence. Ability to work effectively with diverse teams across different locations and time zones. Strong interpersonal skills, with the ability to build positive working relationships and communicate clearly with stakeholders.Why Work Here? You will join a global organisation that supports complex, large-scale financial services for corporates, governments and institutions around the world. The business leverages an extensive international network to connect emerging and markets, offering exposure to innovative products and services across advisory, financing, prime services, research, securities services, trading and sales, and transaction banking. You will work in a modern, agile engineering culture that values collaboration, continuous improvement and technical excellence, with opportunities to contribute to impactful platforms and to develop your skills in cloud, microservices and contemporary development practices. Work Environment You will work within a modern engineering environment focused on developer Experience and software quality, building Kotlin-based web applications and APIs in a microservice architecture. The team uses agile methodologies and operates in a CI/CD setting, enabling frequent, incremental releases and rapid feedback. Day to day, you will use tools such as GitHub or Bitbucket for version control, Jira for work tracking and Confluence for documentation, collaborating closely with developers, testers and stakeholders across the organisation. The technology stack includes Kotlin, microservices, Kubernetes, APIs, SQL/databases, HTML, JavaScript, and cloud platforms such as AWS, Azure and GCP. The role is office-based in Sheffield with a professional environment that supports focused development work and cross-functional collaboration. Location Sheffield, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield

As our products and services scale the globe, the Global Infrastructure and Energy (GIE) team works behind the scenes as a dynamic team within Google responsible for delivering the infrastructure capacity needed to support Google's rapidly growing product portfolio. The Supply Strategy and Portfolio

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From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. See also Google's EEO Policy, Know your rights

Engage in the end‑to‑end acquisition of real estate, land, power infrastructure, data center‑related infrastructure, or data center colocation space, ensuring alignment with Google's technical and growth objectives. From developing and maintaining our data centers to building the next generati

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As Google's products and services scale the globe, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's future -- everything from underwater cables to physical data center space. Lead regional energy strategy for Google’s data center portfolio to meet energy

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Scale state‑of‑the‑art data optimization techniques (including those from Google Research) to enhance the performance and quality of ML models, while heavily shaping the technical direction of data platforms for model tuning across multiple product areas. Experience with data analysis, data op

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