101 to 120 of 120 Data Ingestion Jobs in England

training of Machine Learning models. Experience in industry or a research lab working on machine learning problems and engineering workflows. Preferred Qualifications Experience with data analysis at scale, data visualization and data ingestion pipelines for training models. Experience with Large Language Models and notably Agents … institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. ...

Network Device Telemetry & Analysis Engineer is responsible for onboarding, processing, and analyzing network infrastructure and device telemetry. This role focuses on bringing telemetry data into Splunk and related platforms, developing dashboards and alerts, and enabling Operations teams with data-driven insights for troubleshooting, availability decisions, and performance monitoring. … hands-on and closely aligned with Network Operations, Automation, and Monitoring teams. Key Responsibilities Collect, normalize, and onboard network device telemetry and instrumentation data (metrics, logs, events, streams) into Splunk and approved analytics platforms. Work with Network Engineering teams to understand device behaviors, health indicators, and performance signals across ...

investigating anomalies, resolving technical issues, and helping ensure deployments continue to deliver measurable value. The role would suit someone who enjoys working across software, data, integrations, telemetry and customer-facing technical support. The Role You will work closely with Customer Success, Engineering and Data teams to monitor active … performance. Responsibilities will include: Monitoring live customer deployments, including uptime, system behaviour, performance and SLA compliance Investigating anomalies using logs, metrics, telemetry and operational data Diagnosing issues across data ingestion, integrations, connectivity, software deployments and system outputs Acting as a technical point of contact for deployment-related ...

architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Driving innovation by proactively surfacing new technical approaches and product solutions Leading or initiating … encourage applicants with experience in the following areas: Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such ...

architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Driving innovation by proactively surfacing new technical approaches and product solutions Leading or initiating … encourage applicants with experience in the following areas: Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such ...

school improvement initiatives. Familiarity with school/trust Financial Management Systems (FMS). Knowledge of school/trust budget planning. Ability to manage a data lake, including data ingestion, storage, governance, and integration with analytics tools. Advanced proficiency in Microsoft Office suite. Strong customer relationship management skills. ...

design, development, and deployment of AI/ML solutions aligned to Army training objectives and enterprise architecture principles. Develop and maintain ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation. Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines … platform constraints. Monitor deployed models, analyse performance metrics, and implement tuning or retraining strategies to maintain operational effectiveness. Collaborate with data engineers and software teams to ensure scalable, maintainable, and secure AI components. Apply ethical AI principles including bias mitigation, data governance, and regulatory compliance in defence contexts. ...

ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations. This is a greenfield build with strong investment and direct engagement from Wise … Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible. You ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal ...

will take deep ownership of one or more critical architecture domains - such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference - serving as the lead authority in your domain across client engagements. You will develop and maintain … critical dimension of this role is owning the design of a comprehensive AI context layer - drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content - to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful. ...

Security Operations Centre to support the cyber defence of a major international defence programme. The environment will span Microsoft Cloud services and on-premises data centres across multiple regions and classification levels, creating a technically challenging and highly significant cyber security programme. The SIEM Engineer will support the design … role will work across technologies including Splunk, Microsoft Sentinel, SOAR, Microsoft XDR and wider security tooling, with a major focus on SIEM engineering, data onboarding, integrations, detection content and threat-led use cases. Whats on offer Salary: £72,000 £82,000 10% annual bonus Opportunity to help build ...

implementation. You will work hands‐on with software engineers, ML engineers, and product teams to ensure behavioural intelligence is embedded end‐to‐end from data pipelines and inference services through to live product decisioning and monitoring. Key Responsibilities Design, implement, and deploy AI models that predict, optimise, or automate … sequential modelling approaches (e.g. sequence prediction, intent modelling, imitation learning) into robust, production‐ready systems. Build and maintain end‐to‐end AI pipelines, including data ingestion, feature engineering, model training, inference, and monitoring. Apply causal inference techniques to evaluate the real‐world impact of AI‐driven decisions ...

matters most. The role will focus on building and maintaining SIEM environments, with a particular focus on the management of core environment setups and data onboarding into Cloud platforms. You will work closely with stakeholders to support both well-defined and more complex data ingestion routes, working … system logs to create a searchable dataset for analysis. This allows the EIT Cyber Security Operations Centre to monitor, search, analyse and visualise the data for potential threat alerts. You ll be recognised for your contribution and enjoy rewards tailored to what s most important to you and your ...

Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated … advanced LLMs and VLMs, including multimodal architectures Research and implement training methods for enhanced capabilities like instruction following and tool use Design and optimize data pipelines and training systems for large-scale distributed training Collaborate with cross-functional teams to integrate models into agentic AI systems Evaluate model performance ...

lawyers’ AI interactions Our tech stack and day-to-day tools include: TypeScript for the majority of our applications, frontends, and microservices Python for data ingestion and our AI services AWS for our cloud infrastructure Postgres for our data storage Terraform for defining infrastructure as code Head ...

report processing, and VAT reconciliations on royalty statements. Streamline financial operations by automating processes related to monthly accruals, costs, and transactional revenue tracking. Standardize data ingestion as digital partners and sales statements evolve over time. Partner directly with Finance and Royalty leaders to consult on systemic upgrades, infrastructure … improvements, and ad-hoc data projects. Write crystal-clear system documentation and Standard Operating Procedures (SOPs) for newly automated pipelines. What We're Looking For 1. Core Automation Expertise Real, hands-on experience automating end-to-end operational workflows and manipulating large datasets. Tool Agnostic: You must be highly ...

seeking a high-performance Rust Software Engineer to join a core technology team building highly available, distributed systems that underpin real‐time trading and data platforms. This is a greenfield, engineering‐led environment where system reliability, throughput, and latency are critical to trading performance. The firm operates a technology … handling extreme throughput and concurrency Implementing fault‐tolerant architectures to ensure system reliability in live trading environments Developing core infrastructure for real‐time data ingestion, processing, and distribution Working closely with traders, quantitative researchers, and infrastructure teams to deliver performance‐critical systems Requirements Strong commercial experience ...

target-state security architecture and support the secure migration from current to future state. Key Responsibilities Design the logging architecture, including log repositories and data ingestion pipelines. Define security architecture and technical guardrails for the transformation. Develop the migration roadmap from current to target state. Design interim security ...

enhancements Support detection engineering, tuning, and platform optimisation Lead automation and SOAR initiatives to improve efficiency Collaborate with SOC providers on SIEM governance and data ingestion Ensure platforms meet regulatory and compliance requirements Maintain engineering documentation, standards, and governance Represent engineering in client governance and audit activities Coordinate ...

production infrastructure for mid-frequency equity statistical arbitrage strategies. This is a hands-on engineering role with ownership across the full trading stack, including data ingestion, research tooling, back testing, production strategy deployment, execution integration, real-time monitoring, diagnostics, and post-trade analysis. The ideal candidate has experience … fund or proprietary trading environment. We are also highly interested in strong software engineers from technology companies or adjacent domains who have built complex, data-intensive systems with high standards for correctness, reliability, scalability, and long-term maintainability. Responsibilities Architect, implement, and maintain production infrastructure for systematic trading strategies ...

means to be a bank.’ We are looking for a senior hands‐on Java engineer to support CPT’s migration from legacy trade data source platform to a strategic data flow. The role will focus on designing, building and hardening services that extract, parse, validate, enrich and distribute … Deal, PV/Risk, static data into CPT platforms and downstream consumers and related reporting and control processes. List of Responsibilities Design, implement and maintain cloud-hosted Java services for bulk trade/PV/Risk extraction, JSON parsing to CPT dictionary, integration with upstream systems, downstream distribution ...