1 to 25 of 43 Benchmarking Jobs in the South East

real business impact. Key Responsibilities LLM/NLP Model Development Deploy and fine tune LLMs models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks. Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems ...

building the largest global community of hiring clients and suppliers that are Ready to Work. Its unified platform streamlines compliance, prequalification, safety and performance benchmarking in a single, integrated experience. Trusted by 360,000 businesses across more than 120 countries, Avetta blends AI-driven insights and human expertise to close ...

genomics, sequencing, and large-scale biological data analysis Building and evaluating machine learning models to address complex scientific and translational research questions Validating and benchmarking new computational methods using large public and proprietary datasets Working closely with bioinformaticians and software engineers to deploy methods within scalable, reproducible workflows Collaborating across ...

project that covers a wide range of software delivery technologies and processes Taking on more responsibilities as you grow, in areas such as performance benchmarking, testing, DevOps and security Gaining hands‐on experience with Generative AI tools and techniques, learning how you can support software engineering activities while developing ...

analytics platform brings together highly curated, enriched datasets; sophisticated analytical tools; streamlined workflows; and powerful visualisations. It enables essential IP activities including competitive intelligence, benchmarking and portfolio optimisation—all in one place. As part of the AI Platform team, you will help research, design and deliver the AI capabilities behind ...

including next‐gen processors, memory subsystems, and high‐speed interconnects. Comprehensive mastery of Linux‐based environments and the broader HPC ecosystem. Familiarity with HPC benchmarking, monitoring, and performance‐tuning tools. Strong communication and stakeholder management skills, including the ability to align teams and drive decisions across a matrixed organization. Experience ...

term. The most critical attributes we’ll use to compare candidates: Experience with developing, simulating, and modifying quantum error correction protocols. Working knowledge of benchmarking procedures. Experience with error mitigation and compilation techniques Ability to perform simulation and modelling to inform experiments. Must-have: PhD or equivalent experience. 5+ years ...

integration of peripherals and external devices Advise customers on platform capabilities, system security, BIOS configuration and integration best practices Participate in integration testing, benchmarking and system validation Support the adoption of software platforms, integration layers and development tools Develop and maintain integration tools, scripts, utilities and example code Contribute ...

integration of peripherals and external devices Advise customers on platform capabilities, system security, BIOS configuration and integration best practices Participate in integration testing, benchmarking and system validation Support the adoption of software platforms, integration layers and development tools Develop and maintain integration tools, scripts, utilities and example code Contribute ...

integration of peripherals and external devices Advise customers on platform capabilities, system security, BIOS configuration and integration best practices Participate in integration testing, benchmarking and system validation Support the adoption of software platforms, integration layers and development tools Develop and maintain integration tools, scripts, utilities and example code Contribute ...

genomics, sequencing, and large-scale biological data analysis Building and evaluating machine learning models to address complex scientific and translational research questions Validating and benchmarking new computational methods using large public and proprietary datasets Working closely with bioinformaticians and software engineers to deploy methods within scalable, reproducible workflows Collaborating across ...

development, and tuning of machine learning and deep learning models. Contribute to scalable and reusable data pipelines using modern ML workflows. Conduct experiments and benchmarking exercises to test model performance. Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes to support reproducibility ...

Kubernetes and Terraform. Establish strong testing, code quality, documentation-as-code and secure software development practices. Improve application performance, scalability and reliability through profiling, benchmarking, observability and architectural improvements. Implement monitoring, alerting and operational standards for platform services. Conduct thorough code reviews, mentor engineers and raise engineering standards across ...

cycles.Encourage all accounts to become IFS references. Business Planning – Develop and deliver comprehensive business plan to address customer and prospects priorities and pain points.Utilize benchmarking and ROI data to support the customer’s decision process. Demand Generation, Pipeline and Opportunity Management Pipeline planning - Follow a disciplined approach to maintaining ...

integration. Deliver technical workshops, onboarding sessions, product demonstrations and technical guidance. Develop and maintain integration tools, scripts, utilities and example code. Support integration testing, benchmarking and system validation. Create and maintain technical documentation and integration guides. Work closely with Product and Engineering teams to escalate issues and provide actionable customer ...

mechanisms to capture false-positive (FP) samples from live user/DDR flows and represent/integrate them into model retraining pipelines. Develop automated benchmarking and evaluation harnesses to continuously test model detection quality, runtime performance, and accuracy against baseline models (e.g., Vertex AI). Build automated pipelines for model ...

pipelines into cohesive systems, while ensuring high availability and low latency. Own the full production path—from architectural design and coding to automated testing, benchmarking, deployment, and observability. Collaborate effectively within a multi-disciplinary team of Data Engineers, AI Scientists, Software Engineers and Domain Experts. Champion software engineering best practicesacross ...

utilization and cost attribution. Define performance dashboards and reporting that make performance status visible to engineering teams, product leaders and executives. Conduct performance baselines, benchmarking and regression analysis; identify performance issues, root causes and optimization opportunities. Translate performance data into actionable insights that guide architecture decisions, infrastructure investments and optimization ...

generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise-grade reliability. You will design and build AI agent architectures ...

function calling, workflow orchestration and autonomous or multi-agent architectures, with the judgement to know where they fail. Evaluation as a discipline: experimentation, benchmarking, prompt engineering, tracing, quality measurement and agent tuning, improving an agent against evidence rather than impression. Ability to design solutions that integrate enterprise applications, business processes ...

graph equivalents), taxonomy and controlled-vocabulary design, entity resolution, schema evolution and versioning, embeddings, vector databases and grounding strategies. Evaluation as a discipline: experimentation, benchmarking, prompt engineering, tracing, qualitymeasurementand agent tuning, improving an agent against evidence rather than impression. Ability to design solutions that integrate enterprise applications, business processes,workflowsand ...

evaluation and assurance, working closely with engineering, product and data science teams. Responsibilities will include: Designing model evaluation frameworks and test harnesses Evaluating and benchmarking LLMs against real-world use cases Measuring areas including precision, recall, grounding, calibration and hallucination Red teaming systems for prompt injection, jailbreaks, data leakage ...

liquid cooling, high-density rack design, or power/thermal optimization. Familiarity with OEM/ODM workflows and contract manufacturing environments. Experience with benchmarking and performance tuning (e.g., MLPerf, IO benchmarks, MPI workloads). #J-18808-Ljbffr ...

BRDs, NFRs, RTMs, user stories, test cases, conduct UAT and training, support go-live thru the lifecycle of global programs/projects Process Mapping, Benchmarking and Reengineering Business Process Standardization and Harmonization Business Case preparation and Business Impact Assessment Application assessment, Tool Evaluation and Vendor Selection Skills & Experience Have proven ...

Maintains quality service by establishing and enforcing organization standards. Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies. Contributes to team effort by accomplishing related results as needed. Demand Generation, Pipeline and Opportunity Management ...