8 of 8 Remote/Hybrid Error Analysis Jobs in England

technology that connects the world. What You’ll Do: The Senior Flight Dynamics Mission Analyst (MA) will act as a cornerstone of the Mission Analysis function within the integrated Flight Dynamics (FD) team at Eutelsat Group. This team operates in a matrix‐style organization , spanning three technical verticals: Software … Mission Analysis, and Operations Engineering . This role reports to the Flight Dynamics & Mission Analysis Senior Manager and collaborates closely with FD peers across GEO and LEO programs to enable synergies in design, planning, and operations . Your responsibilities will include: Mission Analysis Leadership Perform full mission ...

architect calibrated LLM-as-a-judge pipelines, and build metrics that accurately capture multi-step agent performance under non-deterministic conditions. Your insights and error analyses will directly drive iterative improvements to our harness scaffolding, tool orchestration, and system safety guardrails. What you’ll do: Architect Evaluation Runtimes & Harnesses … latency, and variance across multi-step agentic systems. Design Experiments & Validate Results: Apply rigorous statistical methods—including hypothesis testing, confidence intervals, bootstrapping, and power analysis—to determine whether performance changes are true system improvements or stochastic noise. Build & Calibrate LLM-as-a-Judge Pipelines: Develop automated judging systems validated ...

maintain the data pipelines behind your models, and own their deployment and reliability in production Build the evaluation frameworks, ground-truth sets and error analysis that prove an insight holds up before a customer sees it Quantify uncertainty and communicate confidence clearly, so the product never presents ...

decide where data and AI can genuinely improve services, then design, build and evaluate solutions that work in practice. Our work can include statistical analysis, machine learning, natural language processing, generative AI and agentic systems. Senior Data Scientists combine hands‐on technical delivery with the judgement needed to work … development. Exploring, cleaning and assessing data, including identifying limitations, quality problems and potential sources of bias. Implementing robust evaluations using appropriate metrics, test cases, error analysis and qualitative investigation. Considering performance beyond aggregate accuracy, including reliability, uncertainty, fairness, security, cost and the consequences of failure. Developing or evaluating ...

decide where data and AI can genuinely improve services, then design, build and evaluate solutions that work in practice. Our work can include statistical analysis, machine learning, natural language processing, generative AI and agentic systems. Senior Data Scientists combine hands‐on technical delivery with the judgement needed to work … development. Exploring, cleaning and assessing data, including identifying limitations, quality problems and potential sources of bias. Implementing robust evaluations using appropriate metrics, test cases, error analysis and qualitative investigation. Considering performance beyond aggregate accuracy, including reliability, uncertainty, fairness, security, cost and the consequences of failure. Developing or evaluating ...

testing data/ML pipelines, that are reliable, scalable and easily deployable in production environment. Productionising ML models and surrogates with clear validation, error analysis Exploring and manipulating 3D point‐cloud and mesh data, applying graph/geometry‐aware techniques where appropriate Working closely with simulation engineers ...

Implement AT-TLS rules (digital certificate management). Configure and manage IPSEC policies (permit/deny rules, VPN- ipsec tunnels) Trace, Debug and Error Analysis Communicate regularly with technical, applications and operational staff to ensure Network connectivity and security (may involve some after hours and weekend work ...

support on reports developed to the business teams to ensure user adoption. Ensure accuracy, consistency, and timeliness of financial data, including data checking and error analysis. Being the point of contact for answering data related queries and clarifications. Identify opportunities to automate reporting and improve data processes. Skills & Experience ...