9 of 9 Permanent Machine Learning Jobs in Sussex

to get value from data. To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond. Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using … natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and … Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. Benefits: Competitive salary and bonus scheme. Hybrid More ❯

optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines More ❯

Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Technology, or related discipline 5+ years' experience with Architecture and Technology Solutions, Cloud-Based Analytics, Machine Learning, and/or Big Data Solutions and Development of such solutions 4+ years' experience Developing and Deploying Cloud Native Solutions on Azure More ❯

customers to manage, share, and exploit data more effectively: Influence significant digital and data transformation projects within the UK public sector. Utilise AI and Machine Learning to innovate sophisticated decision support systems. Make an impactful contribution to society by harnessing the power of data. Why we are different More ❯

focus groups and process re-engineering. Effective under pressure, able to work logically in challenging situations, and comfortable facilitating meetings and workshops. Familiarity with machine learning or AI-driven financial analytics is a plus. Behaviours: Empathetic and collaborative approach, with an ability to get the best out of More ❯

customers to manage, share, and exploit data more effectively: Influence significant digital and data transformation projects within the UK public sector. Utilise AI and Machine Learning to innovate sophisticated decision support systems. Make an impactful contribution to society by harnessing the power of data. Why we are different More ❯

between technical teams and executive stakeholders. Use industry frameworks to conduct maturity assessments, gap analyses, and roadmap development. Incorporate emerging technologies, including AI and machine learning, into data governance strategies to automate and improve quality control processes. Advise on the alignment of data capabilities with business objectives and … skills, including experience with senior/executive leadership. A proven track record of delivering complex data initiatives in agile environments. A mindset of continuous learning, curiosity, and a drive to stay ahead of trends in data, AI, and digital transformation. Why This Role? Join a top-tier consultancy with More ❯

earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

drive revenue growth, share growth, and improve our commercial model. You will be responsible for: Driving clear and effective business translation of AI/ML products between business and technical stakeholders. Lead collaboration with partners across Marketing, Sales, StAT and Data Science teams to incorporate market research, strategic imperatives, competitive … channels based on output from predictive models, providing recommendations to leadership and brand teams. Oversee the critical processes and resources that drive AI/ML products in Oncology. This includes leading contracted resources, prioritizing product enhancements, continuous process improvement/automation, and conducting quality checks on outputs. Proactively leverage AI …/ML knowledge and business strategy to evolve the commercial model using common and novel sources of data (e.g., commercial pharma, consumer, and census data). Emulate and cultivate a credo-based culture across a diverse range of business partners and teams Qualifications/Requirements: A minimum of 5 years More ❯