24 of 24 Permanent Low Latency Jobs in the North of England

join Praveen Krishnaiah’s Native Ads Modelling team building the ML systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning modelling, large-scale training, and production infrastructure — you’ll take models from … role Design, train, and ship ML models for ad relevance and bid/yield optimizationBuild and maintain production ML infrastructure for real-time, low-latency servingWork across Spark, Python, and Java to move models from research to productionApply sound feature engineering, validation, and evaluation practices throughout the modelling ...

Embedded/Low-Level Software Engineer – Defence & Security Newcastle SC Cleared/Eligible The Opportunity Work at the cutting edge of low-level and embedded systems, developing high-performance, secure software for mission-critical Defence & Security applications. This role is ideal for engineers who enjoy working close … hardware in real-time and resource-constrained environments. What You’ll Do Develop and optimise software in low-level languages (C, C++, Rust) Build systems for embedded, real-time, and constrained environments Interface with hardware using protocols such as SPI, I2C, UART, and CAN bus Design and deliver high ...

audience at scale.What is the role You’ll join the Auctions/Marketplace team as a senior engineer focused on real-time bidding — the low-latency, high-throughput path that prices and serves ads within milliseconds. This role is hands-on: you’ll design and build the Java … systems that handle pacing, pricing, and ranking under tight latency budgets, and you’ll be expected to reason about performance and correctness at scale. You’ll work alongside the Ad Auctions team and report into Akif Rahim’s Auctions/Marketplace org, with day-to-day technical partnership from ...

streaming, and batch processing for application needs. Architect data streaming solutions – design and implement real‐time data streaming architectures using Kafka and Pulsar, ensuring low‐latency data delivery to downstream applications and services. Design distributed data structures – work with engineering teams to design effective data structures for distributed … scale, with deep understanding of distributed systems principles and trade‐offs. Data streaming architecture – proven track record architecting and implementing real‐time/low‐latency data streaming platforms including patterns for event‐driven architectures. OLTP, NoSQL and distributed databases – experience with Cassandra or similar distributed databases, understanding data ...

timely fashion What experience would help someone be successful in this role at Roku 10+ years of experience building large-scale and low-latency distributed systemsCommand of Java or C++Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming Experience ...

innovation and reuse. Deliver top-quality software in a timely fashion. What We Expect You Have 10+ years of experience building large-scale and low-latency distributed systems. Proficiency in Java or C++. Strong understanding of algorithms, data structures, performance optimization, object-oriented programming, multi-threading, and real ...

collect, transform, and serve large datasets. Work extensively with S3 (Hive-partitioned Parquet data lake), Athena for SQL querying and analysis, DynamoDB for low-latency caching, and Kinesis/SQS for streaming and queue-based integration — including customer-facing "bring your own stream" pipelines.Develop robust RESTful APIs ...

excels at building scalable, reliable services. Our Roku Mobile Backend team designs and implements robust backend services powering our mobile apps, ensuring optimal performance, low latency, and seamless scalability. If you’re passionate about backend engineering and thrive on delivering innovative mobile-cloud solutions, we’d love ...

ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality. Low-Level Systems Debugging, Performance Measurement & Optimisation: Performance measurement and optimisation on large production clusters. We're Excited If You Have First-hand experience … . Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc. Experience with real-time scoring/evaluation of models with low latency constraints. Great coding skills and strong software development experience (we use Spark, Python and Java a lot). Ability to work with ...

delivery pipelines Your experience Deep software engineering foundation with a strong academic background in a technical discipline Ability to write clean, maintainable code across low-latency or complex enterprise environments Strategic problem-solving mindset with a commitment to engineering excellence Exposure to high-throughput platforms or financial services ...

Maintaining and upholding coding standards across the automation space. The skills and experience to help you perform in the role Proven experience of developing low latency, highly available, and scalable solutions. Experience working with high volumes of transactions. Previous experience in a senior position and accustomed to mentoring ...

ensuring seamless integration with broader enterprise data ecosystemsBuild and maintain real-time event streaming architectures (e.g., Kafka, Azure Event Hubs) to power high-throughput, low-latency financial data flowsDeliver robust full-stack solutions utilising .NET/C# and SQL where appropriate, ensuring clean, maintainable, and well-tested code ...

cases!).Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc.Experience with real-time scoring/evaluation of models with low latency constraints.Great coding skills and strong software development experience (we use Spark, Python and Java a lot).Ability to work with large-scale computing ...

Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization with distributed systems at large scale and low latency. We use machine learning, reinforcement learning, AI, control systems, optimization systems, and auction dynamics to solve a broad set of complex problems. ...

ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality. Low‐Level Systems Debugging, Performance Measurement & Optimisation: Performance measurement and optimisation on large production clusters. We’re Excited If You Have First‐hand experience … . Experience with ML/distributed ML frameworks like Ray, Spark‐MLlib, TensorFlow etc. Experience with real‐time scoring/evaluation of models with low latency constraints. Great coding skills and strong software development experience (we use Spark, Python and Java a lot). Ability to work with ...

real time. Working closely with a highly talented engineering team, you'll help deliver responsive, high-performance mobile experiences where reliability, usability and low-latency performance are critical.Location: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours ...

exercises to proactively identify vulnerabilities, prompt injections, or unpredictable behaviours in our internal AI implementations. Operate in AWS: Deploy, run, and support high‐throughput, low‐latency safety services for internal use cases; make sensible architecture/cost tradeoffs; partner effectively with platform/techops/security stakeholders. What ...

near‐real‐time data pipelines for sportsbook and in‐play use cases – odds feeds, market events, bet placement streams, and settlement pipelines – where latency and correctness are non‐negotiable Designing and enforcing data integrity frameworks across betting, trading, and customer data domains – including reconciliation between source and target systems … scale data migrations in iGaming – moving live betting, customer, or trading data at scale while maintaining integrity and uptime You've designed or owned low‐latency data pipelines where correctness and throughput are both critical – odds ingestion, in‐play event streams, bet settlement, or equivalent You understand what ...

near‐real‐time data pipelines for sportsbook and in‐play use cases – odds feeds, market events, bet placement streams, and settlement pipelines – where latency and correctness are non‐negotiable Designing and enforcing data integrity frameworks across betting, trading, and customer data domains – including reconciliation between source and target systems … scale data migrations in iGaming – moving live betting, customer, or trading data at scale while maintaining integrity and uptime You've designed or owned low‐latency data pipelines where correctness and throughput are both critical – odds ingestion, in‐play event streams, bet settlement, or equivalent You understand what ...

Experience Proficiency in Golang and/or Python. Background in using Apache Kafka. Familiarity with high-volume transactional environments. Track record of developing low-latency, highly available and scalable solutions. Knowledge of dashboards and good practices around the monitoring stack. Capability to manage multiple projects with independent deadlines ...

like their worker autonomy, project ownership, with a commitment to inclusion, diversity and work-life balance. A good company culture resulting in a low turnover of engineering staff. Renewed investment in the business by the parent enabling strong future growth which opens up possibilities to work on other interesting … processing Beamforming algorithms Pulse compression and matched filtering Implement high-speed streaming data pipelines Optimise fixed-point arithmetic for deterministic real-time performance Design low-latency architectures suitable for active sonar systems. 2. High-Speed Interface Development Implement and validate interfaces such as: High-speed ADC/ ...

premise and cloud platforms using Golang, Python, TypeScript and React, with a focus on automation, tooling, and visibility. You will contribute to scalable, low-latency systems, participate in pre/post-release testing, and help advance self-service platform capabilities for internal customers while staying #J-18808-Ljbffr ...

Spanner and BigQuery. Full-time role with a hybrid work-from-home policy, based in the United Kingdom. You will design and implement low-latency, scalable solutions, monitor performance, and drive automation and testing across multiple #J-18808-Ljbffr ...

images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each You May Also Have: Exposure to high-performing, low latency or large volume data systems Knowledge of and/or experience with Government Digital Service practices across Discovery/Alpha/Beta ...