14 of 14 Remote/Hybrid Data Pipeline Jobs in Cambridge

looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most … better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What ...

frontend work with Angular within an Agile team. You will mentor teammates, contribute to design reviews, and ensure secure, production-grade software across data pipelines and services. #J-18808-Ljbffr ...

cloud-native. Join an agile Scrum team delivering production-grade AI capabilities, mentor junior engineers, and help uphold engineering best practices across data pipelines and service APIs. #J-18808-Ljbffr ...

with a startup mindset. Key responsibilities include building scalable Azure services, refining APIs and SDKs with ASP.NET Core and C#, and collaborating across data pipelines and #J-18808-Ljbffr ...

month fixed-term contract with potential for extension Start Date: ASAP Join an early-stage AI startup founded by a recognised leader in data science. Our client is building a new predictive intelligence platform that combines machine learning, real-world sensor data, geospatial information and engineering … principles to predict asset condition and emerging risk. You'll work closely with the Founder - a highly regarded data science leader and Cambridge and Oxford alumnus - at a stage where the fundamental technology and architecture are still being shaped. This isn't a role where you'll inherit ...

Overview: We are looking for an EDA Optimisation Engineer to support the data-driven optimisation, analysis and maintenance of Arm’s engineering platforms. This role will work as part of a team effort to improve system utilisation/efficiency/cost-performance and touch on forecasting accuracy … infrastructure strategy. Working within the Productivity Engineering group, there will be a focus on metrics, automation, data-engineering and problem-solving where applicable to efficiency topics, in a metrics-first/data-driven-decisions environment. We expect this work to drive scalability and vendor strategy across ...

production, taking ownership of code quality, performance, and system reliability. Partner with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration layers, and service APIs. Embed robust security controls, identity management, and privacy-by-design practices across all AI services. Actively contribute to design … Kubernetes. Deep understanding of RESTful API design, versioning, testing, and full lifecycle management. Strong knowledge of securing APIs (OAuth2, OIDC, RBAC) and implementing data privacy best practices. Proficiency in using modern AI-assisted development tools (e.g., GitHub Copilot) to accelerate daily engineering workflows. Strong problem-solving abilities, with ...

consumption by internal and external developers using ASP.NET Core and C#. Collaborate with cross‐functional teams to deliver end‐to‐end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Participate … technologies a plus. Solid understanding of RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Practical experience deploying and debugging scalable cloud‐native services using PaaS, Docker, and Kubernetes. Excellent problem‐solving skills, with the ability ...

consumption by internal and external developers using ASP.NET Core and C#. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Participate … technologies a plus. Solid understanding of RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Practical experience deploying and debugging scalable cloud-native services using PaaS, Docker, and Kubernetes. Excellent problem-solving skills, with the ability ...

public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Lead … deployments in Kubernetes. Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple ...

production, taking ownership of code quality, performance, and system reliability. Partner with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration layers, and service APIs. Embed robust security controls, identity management, and privacy-by-design practices across all AI services. Actively contribute to design … Kubernetes. Deep understanding of RESTful API design, versioning, testing, and full lifecycle management. Strong knowledge of securing APIs (OAuth2, OIDC, RBAC) and implementing data privacy best practices. Proficiency in using modern AI-assisted development tools (e.g., GitHub Copilot) to accelerate daily engineering workflows. Strong problem-solving abilities, with ...

Speechmatics is seeking an ML Data & Platform Engineer to own the data pipelines and the platform that trains, evaluates, and serves models in production. You will work across the full stack—from data infrastructure to production ML—owning problems end-to-end to accelerate … model delivery. You’ll collaborate with the ML team to improve data quality, observability, and MLOps practices, while scaling infrastructure for faster iteration and reliability. #J-18808-Ljbffr ...

transfer, production readiness, and coordination across time zones. Join our client to work in a dynamic R&D environment that combines hardware, software, data, manufacturing, and connected-device expertise, while leading mission‐critical testing platforms that directly influence product quality and operational excellence. This is a great opportunity … technical‐lead support for production ATE systems, including troubleshooting, calibration, failure analysis, reliability improvement, and yield optimization. Analyze test and manufacturing data to identify trends, root causes, yield improvements, and opportunities for process optimization. Collaborate with multidisciplinary product and platform teams in the UK, Israel and California, USA. ...

smart) products Experience of working in complex multidisciplinary projects that requires a high level of technical know-how Experience with manufacturing databases, production data pipelines, and engineering data analysis tools. Experience working with subcontractors, external vendors, CMO production teams, and procurement processes for tester or prototype ...