5 of 5 DemandTrendPermanent Performance Tuning Jobs in Hertfordshire

be doing Technical Leadership Lead the iOS development team in the design, development, deployment, and maintenance of iOS applications. Oversee architecture and design decisions for new features, ensuring scalability, performance, and maintainability, working closely with the Architecture Team (Solution & Enterprise Architecture). Conduct code reviews to ensure adherence to best practices, coding standards, and technical guidelines to ensuring high …/UX design principles for iOS, and experience with tools like Figma, or Sketch. Experience with version control systems, particularly Git, and CI/CD pipelines. Knowledge of IOS performance tuning and optimisation techniques. Soft Skills Strong leadership and team-building skills. Excellent communication skills, both written and verbal. Ability to work in an agile, fast-paced environment … improvements in the codebase. Code Coverage - The percentage of code covered by Unit/Automation tests. Post Release Defect - Reduction in the number of defects found post release. App Performance & Stability App Crash Rate - A reduction in the volume of App crashes per user or session. App Performance Metrics - user facing metrics e.g. application load times, responsiveness of More ❯

Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies. You'll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI. … production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU-based environments. Collaborate with stakeholders to gather requirements and deliver solutions aligned to business needs. Document workflows, data pipelines, and model processes for knowledge transfer … and reproducibility. Key Skills & Experience: 4-5 years' experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques (supervised, unsupervised, reinforcement learning). Solid background in data preprocessing, wrangling, and feature engineering. Proficiency in More ❯

Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies. You’ll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI. … production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU-based environments. Collaborate with stakeholders to gather requirements and deliver solutions aligned to business needs. Document workflows, data pipelines, and model processes for knowledge transfer … and reproducibility. Key Skills & Experience: 4–5 years’ experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques (supervised, unsupervised, reinforcement learning). Solid background in data preprocessing, wrangling, and feature engineering. Proficiency in More ❯

Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies. You’ll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI. … production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU-based environments. Collaborate with stakeholders to gather requirements and deliver solutions aligned to business needs. Document workflows, data pipelines, and model processes for knowledge transfer … and reproducibility. Key Skills & Experience: 4–5 years’ experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques (supervised, unsupervised, reinforcement learning). Solid background in data preprocessing, wrangling, and feature engineering. Proficiency in More ❯

and support both MVC and Console apps , leveraging SQL Server and integrating with external data sources and APIs. Lead end-to-end implementations, including security, data migration, integration, and performance tuning. Team & Technical Leadership Provide technical direction and oversight to other developers and contractors, helping to manage task allocation, priorities, and quality. Act as a bridge between transformation squads … the ASP.NET MVC framework .. Proficient in .NET (C#), JavaScript, Web API, SQL Server , and working knowledge of HTML, CSS, XML, JSON . Comfortable with complex data modelling and performance optimisation in large-scale MVC environments. Adept at explaining technical solutions to non-technical stakeholders and working closely with business users. Hands-on experience with CI/CD , source … work independently and mentor others. Strong team player who thrives in collaborative environments. Excellent attention to detail and commitment to quality. Organised and capable of working in a high-performance, fast-paced setting. A natural coach, keen to upskill colleagues and foster a strong development culture. Benefits Flexible hybrid working environment Exposure to enterprise-wide digital transformation Opportunity to More ❯