People. Proven. Progress. #ProgressPROUD

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AI Engineer

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Progress (Nasdaq: PRGS) is seeking an AI Engineer to join their team and work on Progress Agentic RAG, a system combining retrieval-augmented generation and advanced agentic pipelines. The role involves designing and building scalable, production-ready components for the agentic platform, integrating LLMs with external systems, optimizing multi-agent systems, and contributing to LLM fine-tuning projects. The engineer will also mentor junior staff and own the lifecycle of NLP components.

Inside Account Manager - Sharefile

We are Progress (Nasdaq: PRGS) - the trusted provider of software that enables our customers to develop, deploy and manage responsible, AI-powered applications and experiences with agility and ease.We’re proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress. Join us as an AI Engineer and help us do what we do best: propelling business forward.You’ll work on our product, Progress Agentic RAG, a cutting-edge system that combines retrieval-augmented generation (RAG) and advanced agentic pipelines to transform how humans interact with unstructured data.We’re seeking an AI Engineer to help design and build scalable, production-ready components that power our agentic platform.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">In this role, you will:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Architect and implement advanced RAG pipelines, including cutting edge extraction, memory systems, and tool-augmented agents.</li><li class="leading-relaxed">Lead the integration of LLMs with external APIs, databases, and internal knowledge graphs.</li><li class="leading-relaxed">Architect and optimize multi-agent systems, ensuring agents can collaborate, delegate tasks, and interact seamlessly with both internal and external tools and APIs.</li><li class="leading-relaxed">Take part in LLM fine tuning projects, helping plan and architect efficient, reproductible pipelines.</li><li class="leading-relaxed">Mentor junior engineers and collaborate with researchers to bring cutting-edge NLP ideas into production.</li><li class="leading-relaxed">Optimize performance, latency, and cost across the stack.</li><li class="leading-relaxed">Own the lifecycle of NLP components: from design to deployment and monitoring.</li><li class="leading-relaxed">Contribute to internal tooling.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Your Background:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Excellent communication and team collaboration skills.</li><li class="leading-relaxed">7+ years of experience in software engineering, with at least 5 in NLP or ML.</li><li class="leading-relaxed">Deep understanding of LLMs, Transformers, and RAG architectures.</li><li class="leading-relaxed">Strong Python skills and experience with frameworks like FastAPI and HuggingFace.</li><li class="leading-relaxed">Have experience deploying ML models in production through specialized inference servers such as Triton Inference Server, vLLM, SGLang or TGI.</li><li class="leading-relaxed">Proficient in managing the full ML production lifecycle, including CI/CD pipelines, containerization with Docker, orchestration using Kubernetes, and monitoring of services.</li><li class="leading-relaxed">Worked previously in services deployed in any major cloud provider (AWS, Azure, GCP).</li><li class="leading-relaxed">Familiarity with vector databases.</li><li class="leading-relaxed">Excellent communication and leadership skills.</li><li class="leading-relaxed">Comfortable working in a remote-first environment.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Additionally, it would be beneficial if you have:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Strong Communication and interpersonal skills (Spoken and written).</li><li class="leading-relaxed">Experience in building evaluation frameworks for LLM or RAG environments.</li><li class="leading-relaxed">Experience with agentic frameworks or autonomous agents.</li><li class="leading-relaxed">Contributions to open-source NLP or ML projects.</li><li class="leading-relaxed">Passion about staying up to date with the latest NLP research.</li></ul>If this sounds like you and fits your experience and career goals, we’d be happy to chat.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Compensation:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Generous remuneration package</li><li class="leading-relaxed">Employee Stock Purchase Plan Enrollment</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Vacation, Family, and Health:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">23 vacation days annually</li><li class="leading-relaxed">Birthday day off</li><li class="leading-relaxed">Community service time off</li><li class="leading-relaxed">International Women’s Day – March 8 is an official holiday for all employees</li><li class="leading-relaxed">Life and Medical Insurance</li></ul>#LI-Remote#LI-DG1<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Together, We Make Progress</h3>Progress is an inclusive workplace where opportunities to succeed are available to everyone. As a multicultural company serving a global community, we encourage a wide range of points of view and celebrate our diverse backgrounds. Our unique combination of perspectives inspires innovation, connects us to our customers and positively affects our communities. It is only by working together and learning from each other that we make Progress. Join us!

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- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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QS Quacquarelli Symonds 

Head of Data Engineering

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As Head of Data Engineering at QS, you will lead the architectural design, build, and delivery of scalable data pipelines, APIs, and services for QS Cerebrum, enterprise analytics, and AI platforms. You will own the data architecture and infrastructure, ensuring ingestion, transformation, quality, governance, and delivery of core QS datasets. This role involves defining engineering standards, fostering a high-performance culture, and collaborating with Data Science, Product, and Technology leaders to shape the future of higher education through data.

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Role: Head of Data EngineeringLocation: UK, LondonJob type: Full time, Permanent – HybridThis position offers a hybrid work model, allowing flexibility between working from home and our office. Typically, employees are expected to work 2 days in the office per week.Why QS?At QS, we believe that work should empower you. That’s why we foster a flexible working environment that encourages every employee to own their career whilst flourishing personally and professionally. Our company values underpin everything we do – we collaborate, respect and support each other.It’s our mission to empower motivated people around the world to fulfil their potential through higher education, ensuring that everyone has access to opportunities that change lives.Our diversity makes us stronger. By sharing our experiences, we learn from one another and achieve more together, driving progress across the sector.At QS, you’ll be responsible for implementing real change in the international higher education landscape. You’ll take on meaningful challenges that see a positive impact across the business and the wider sector.We’re confident you’ll feel right at home here. QS was named as one of Newsweek’s Top 100 Most Loved Workplaces® in the UK (October 2023), recognising the respect, trust and appreciation that drive our culture every day. And as a gold-accredited Investors in People organisation – putting us among the top 28% of workplaces globally – it’s official: QS is a place where everyone can thrive.As a Head of Data Engineering, this is what you’ll be doing:At QS, we believe that empowering people through data drives meaningful impact in higher education worldwide. As Head of Data Engineering, you will lead in the architectural design, build, and delivery of scalable data pipelines, APIs, and services at the core of QS Cerebrum, and our enterprise analytics and AI platforms. The Head of Data Engineering will be accountable for building and owning the data architecture and infrastructure that underpin QS’s core student and institution facing products and enterprise analytics. This role leads the engineering function responsible for ingestion, transformation, quality, governance, and delivery of all core QS datasets. You will define and embed engineering standards, robust governance and data quality measures into all pipelines, and actively develop your engineers to deliver a high-performance culture in Data and Analytics.This role will collaborate with leaders across Data Science, Product and Technology to build the QS data platform. Your strong leadership and communication skills will be essential in collaborating with stakeholders, guiding team members, and contributing to QS’s long-term strategic objectives.This is an exciting opportunity to shape the future of higher education and workforce development by joining a dynamic Data Engineering team. If you are passionate about leading, innovating, and making a tangible difference in a diverse and supportive environment, we invite you to envision yourself in this impactful role at QS.Role responsibilities<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Architect and evolve QS’s enterprise data platform (AWS + Snowflake).</li><li class="leading-relaxed">Drive the transition toward modern data architectures (data platform, streaming pipelines, real-time scoring where relevant).</li><li class="leading-relaxed">Own standards for ingestion, transformation, orchestration, metadata, observability, and lineage.</li></ul>Pipeline & Infrastructure Leadership<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Build robust ETL/ELT pipelines for QS datasets across performance, recruitment, skills and innovation, including real-time student demand data, global workforce data and higher education rankings data.</li><li class="leading-relaxed">Implement scalable frameworks for data acquisition from surveys, universities, partners, and public sources.</li><li class="leading-relaxed">Ensure pipelines are cost-efficient, monitored, recoverable, and version-controlled.</li></ul>Data Quality & Governance<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Establish enterprise-wide data quality metrics, monitoring systems, and remediation workflows.</li><li class="leading-relaxed">Implement governance frameworks aligned with QS’s methodologies and product /service requirements.</li><li class="leading-relaxed">Partner with Data Science, Technology and Product to standardize definitions, master data, and reference data models.</li></ul>Team Leadership<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead, grow, and mentor a global team of data engineers</li><li class="leading-relaxed">Set clear engineering standards, code practices, review processes, and architectural guidelines.</li><li class="leading-relaxed">Build a culture of technical excellence, reliability, and delivery accountability.</li></ul>Cross-Functional Collaboration<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Partner with the Director of Data Science, Technology and Product Leads to align on priorities, platform capabilities, and data readiness.</li><li class="leading-relaxed">Translate business and methodological requirements into scalable data engineering solutions.</li><li class="leading-relaxed">Work with compliance and security teams on data privacy, PII handling, and regulatory alignment (GDPR, global privacy standards).</li></ul>Strategic Contribution<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Own and drive the multi-year data engineering roadmap.</li><li class="leading-relaxed">Introduce automation, ML-assisted data validation, and higher-frequency data refresh cycles to improve QS’s data competitiveness.</li><li class="leading-relaxed">Future-proof QS’s data stack to support new growth models</li></ul>Key skills and experience<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Proven ability to lead teams and deliver results in complex data or information services businesses</li><li class="leading-relaxed">Wicked problem-solver who thrives in dynamic, evolving environments</li><li class="leading-relaxed">Strategic communicator with strong interpersonal and leadership skills, fostering collaboration and inclusivity</li><li class="leading-relaxed">Demonstrable business impact, balancing technical solutions with practical business needs</li><li class="leading-relaxed">Strong Proficiency in SQL and Python, with hands-on experience in cloud data platforms (such as Snowflake or equivalent)</li><li class="leading-relaxed">Strong experience with orchestration tools (e.g., Glue, Airflow, dbt) supporting reliable data workflows, streaming frameworks (such as Kafka, Snowpipe) for real-time data delivery and machine learning and artificial intelligence workflows, including feature stores and platforms like Sagemaker</li><li class="leading-relaxed">Excellent understanding of data modeling concepts, including graph-based design</li><li class="leading-relaxed">Familiarity with REST/GraphQL APIs and approaches to optimize data delivery and performance</li><li class="leading-relaxed">Master’s degree of higher in a relevant field</li></ul>Please note, if you don't meet all the criteria but believe you have the skills and passion to thrive in this role, we encourage you to apply.So, who are we and what do we do?QS is the world leader in higher education services, analytics, insights and intelligence. From consultancy to student mobility, academic partnerships to branding solutions, our services power both institutional and individual success.We’re behind the world’s most widely read university rankings (Meltwater 2023). Our QS World University Rankings® reach hundreds of millions, shaping decisions and guiding futures.Since launching in 1990, our impact and influence have only grown. Today, we work with more than 2,000 of the world’s leading higher education institutions, over 12,000 employers, and governments seeking change and socioeconomic development through higher education.Join QS and you’ll join an 800-strong community of problem-solvers, creators, collaborators and change-makers based in 40+ countries and 11international offices, including Australia, Malaysia, India, Romania, Singapore, France, Germany, the USA and our headquarters in London.With every talented new hire, business acquisition and bold initiative, we’re strengthening our reach and delivering even greater value to institutions and learners worldwide. Are you ready to shape the future of higher education?We take investing in our people very seriously.As standard you will have:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Competitive base salary</li><li class="leading-relaxed">Access to an annual bonus scheme (for qualifying roles only)</li><li class="leading-relaxed">25 days annual leave, plus bank holidays – increasing to 27 days after 5 years’</li><li class="leading-relaxed">Access to a Buy Holiday scheme allowing you to buy up to 5 additional holiday days per year</li><li class="leading-relaxed">Enhanced maternity and paternity leave</li><li class="leading-relaxed">Generous pension through Royal London</li><li class="leading-relaxed">Comprehensive private medical insurance and wellness scheme through Vitality</li><li class="leading-relaxed">Cycle to work scheme</li><li class="leading-relaxed">A vibrant social environment and multicultural and multinational culture</li></ul>But that’s not all. Outside of these standard benefits we also offer resources to allow professional growth and wellness initiatives to nurture a healthy mindset:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation</li><li class="leading-relaxed">A focus on welfare which is led by our global wellness team, with mental health first aiders globally</li><li class="leading-relaxed">Access to a variety of diversity and inclusion initiatives and groups</li><li class="leading-relaxed">Strong recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event</li><li class="leading-relaxed">Support for volunteering and study leave</li><li class="leading-relaxed">Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips</li><li class="leading-relaxed">Options to join our outstanding global Mentorship programme</li></ul>Like what you’ve heard? Great, apply now!As a candidate, we know the application and interview process can be daunting and so it’s important that you have a great experience with us. Our dedicated Talent Team will work hard to ensure you are fully informed at all stages and you are really excited by this opportunity to do meaningful work in the education space.Equal opportunitiesQS Quacquarelli Symonds is proud to be a fair and equal organisation where everyone has the same opportunity to achieve their full potential, irrespective of their background or personal attributes. We celebrate our diversity and believe through sharing our experiences we can learn from one another, be stronger together, and enable our business to thrive.Please keep an eye on your spam / junk email folder for correspondence from BambooHR

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

AI Engineer

Senior Principal Information Science Consultant

Senior Principal Information Science Consultant

Senior Full-Stack Engineer - AI

Product Marketing Manager, Federal Solutions

Senior Business Analyst - Enterprise Applications

Principal Business Analyst - Enterprise Applications

Technical Support Engineer, Senior 1

Senior Consultant - LoadMaster

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