keys, sort keys, indexes, capacity modes Skilled in programming languages (Java, Python, Node.js) Experience with AWS SDK/CLI & related AWS services (Lambda, API Gateway, CloudWatch) Strong knowledge of distributedsystems Nice to Have AWS Certified Database Specialty DynamoDB Streams + Lambda integration DynamoDB Global Tables (multi-region) DynamoDB Accelerator (DAX) Security best practices (encryption at rest & in More ❯
ready AI solutions . As a Applied AI Solution Engineer , you'll be at the forefront of this revolution. What you’ll do: ✅ Work hands-on with Python, microservices, distributedsystems, and LLMs ✅ Shape AI strategy, mentor engineers , and drive innovation across multiple projects ✅ Engage directly with senior stakeholders, explaining complex AI concepts in clear terms What we More ❯
ready AI solutions . As a Applied AI Solution Engineer , you'll be at the forefront of this revolution. What you’ll do: ✅ Work hands-on with Python, microservices, distributedsystems, and LLMs ✅ Shape AI strategy, mentor engineers , and drive innovation across multiple projects ✅ Engage directly with senior stakeholders, explaining complex AI concepts in clear terms What we More ❯
ready AI solutions . As a Applied AI Solution Engineer , you'll be at the forefront of this revolution. What you’ll do: ✅ Work hands-on with Python, microservices, distributedsystems, and LLMs ✅ Shape AI strategy, mentor engineers , and drive innovation across multiple projects ✅ Engage directly with senior stakeholders, explaining complex AI concepts in clear terms What we More ❯
london (city of london), south east england, united kingdom
MBN Solutions
ready AI solutions . As a Applied AI Solution Engineer , you'll be at the forefront of this revolution. What you’ll do: ✅ Work hands-on with Python, microservices, distributedsystems, and LLMs ✅ Shape AI strategy, mentor engineers , and drive innovation across multiple projects ✅ Engage directly with senior stakeholders, explaining complex AI concepts in clear terms What we More ❯
neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributedsystems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or PhD More ❯
analytical skills, with experience working on real-world, varied datasets to extract insights and improve data quality Hands-on experience working with data in cloud-based environments, ideally with distributedsystems and modern data platforms Familiarity with performance tuning and optimisation techniques for data processing workflows A collaborative mindset, with a track record of defining and sharing best More ❯
s service-oriented architecture. Champion the use of AI and automation to enhance productivity across the team. What experience do I need: Strong background building and scaling Python-based systems (FastAPI, Flask, or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS More ❯
join a prestigious tech client on a contract basis. This company is renowned for its engineering excellence, and they're looking for a GoLang Developer who can take their distributedsystems to the next level click apply for full job details More ❯
numerous models in fast iterations. Responsibilities We are seeking a Software Engineering Manager who combines strong technical expertise with hands-on leadership experience, bringing deep knowledge in cloud services, distributedsystems, and web services. The ideal candidate has a track record of leading agile development teams and can make sound technical decisions while mentoring engineers in building our More ❯
Strong expertise in incident management, alert routing, and large-scale orchestration. SaaS or incident management platform experience (PagerDuty, OpsGenie, etc. a plus). Solid technical foundation with cloud/distributed systems. Excellent communicator, comfortable working across US/IL time zones. Bonus: leadership experience, SRE/DevOps background, knowledge of SLO/SLA practices. More ❯
Strong expertise in incident management, alert routing, and large-scale orchestration. SaaS or incident management platform experience (PagerDuty, OpsGenie, etc. a plus). Solid technical foundation with cloud/distributed systems. Excellent communicator, comfortable working across US/IL time zones. Bonus: leadership experience, SRE/DevOps background, knowledge of SLO/SLA practices. More ❯
Data Factory, Azure Purview). • Deep understanding and practical experience in designing and implementing medallion data lake architectures. • Strong knowledge of data warehousing, big data technologies (including Spark), and distributed systems. • Proficiency in data modelling techniques (conceptual, logical, physical) and data quality frameworks. • Proven experience in developing and implementing QA strategies, test plans, and automated testing for data pipelines More ❯
III, Amazon India Role Description Technical Program Managers(TPM) define the product strategy, requirements and influence the design, development, testing, deployment and maintenance of the company's software applications, systems, services and other technology projects end-to-end. As a key contributor throughout the engineering lifecycle, TPMs ensure consistent delivery of high-quality software and influence technical decisions on … architecture and implementation of software systems and services. They thrive in entrepreneurial environments and are not hindered by ambiguity or competing priorities. They understand the customer and work backwards to define roadmaps and drive execution across stakeholders. They clearly communicate goals, roles, responsibilities and desired outcomes to internal cross-functional and remote project teams as well as have the … business objectives. When approaching system design, TPMs must consider multiple critical factors including scalability, performance, security, and technical trade-offs between different technologies. They need to be proficient in distributedsystems, Service-Oriented Architecture (SOA), and n-tiered software architecture. Program Management: Program Management at Amazon TPMs involves managing complex cross-functional programs with significant organizational impact. TPMs More ❯
secure, scalable, and robust software to address opportunities in the payments industry through cloud computing. The ideal candidate will have strong experience in the tech industry with focus on distributedsystems, web services, and high availability production systems. Key job responsibilities Work with software engineers, TPM and Product managers in developing a strategy and road map to provide More ❯
to lead the technology strategy for a global FX payments platform that powers international money movement at scale. This is a high-impact role driving the modernisation of critical systems used across multiple regions. Key Responsibilities Define and own the technical direction of the FX payments platform. Lead/mentor a global engineering team (~30 people across Europe & Asia … Kafka, microservices. Collaborate with business and tech teams to balance strategy with delivery. Champion agile, DevOps, and CI/CD practices. Key Requirements Proven experience in application architecture for distributed systems. Strong engineering background: Java, Spring, Oracle SQL. Solid understanding of REST, messaging patterns, design best practices. Experience in FX Exposure to Kubernetes, containers, Kafka a strong advantage. Confident More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Huxley
Rate : Up to £900/day via umbrella Location : Hybrid - 2 days onsite in one of the listed cities Start : ASAP Key Skills & Responsibilities Application Performance Monitoring (APM) across distributedsystems Real User Monitoring (RUM) to analyse end-user experience across web and mobile Advanced data exploration using Dynatrace Query Language (DQL) and Grail Integrating Dynatrace with external … systems via APIs in complex enterprise environments If this role could be of interest to you, please reply with an updated version of your CV. Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a More ❯
core problems in diffusion-based generative modelling, contributing both to the research literature and to production-scale systems. Youll design and implement novel architectures, scale training runs across large distributedsystems, and collaborate with engineers to bring state-of-the-art models into real-world applications. With strong backing and serious compute resources, this is a rare opportunity More ❯
problems in diffusion-based generative modelling, contributing both to the research literature and to production-scale systems. You’ll design and implement novel architectures, scale training runs across large distributedsystems, and collaborate with engineers to bring state-of-the-art models into real-world applications. With strong backing and serious compute resources, this is a rare opportunity More ❯
City of London, London, United Kingdom Hybrid / WFH Options
asobbi
frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build secure, scalable data pipelines that integrate enterprise data into vector stores and embedding models. Optimise semantic retrieval for performance and relevance in generative AI … salary Potential equity or performance-based incentives Learning and development budget Hybrid work flexibility with occasional client or team site visits If you're passionate about building impactful AI systems that solve real problems — and want to work at the intersection of innovation, sustainability, and sovereignty — this is your opportunity. More ❯
frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build secure, scalable data pipelines that integrate enterprise data into vector stores and embedding models. Optimise semantic retrieval for performance and relevance in generative AI … salary Potential equity or performance-based incentives Learning and development budget Hybrid work flexibility with occasional client or team site visits If you're passionate about building impactful AI systems that solve real problems — and want to work at the intersection of innovation, sustainability, and sovereignty — this is your opportunity. More ❯
