4 of 4 Use Case Jobs in Birmingham

Lead ML Engineer - 12 Month FTC

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Birmingham, West Midlands, England, United Kingdom
Employment Type
Full-Time
Salary
£80,000 - £90,000 per annum
building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. ...

Data Scientist

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Birmingham, West Midlands, England, United Kingdom
Employment Type
Full-Time
Salary
£55,000 - £65,000 per annum
modelling Strong balance of technical work and commercial impact Opportunity to contribute to product development and innovation Exposure to multiple clients, industries, and use-cases Collaborative team environment with analysts, SMEs, and product teams Working pattern Hybrid: 1 day per week in London Open to candidates based ...

Cloud Integration & DevOps Architect – Strategy Lead

Hiring Organisation
Jobleads-UK
Location
Birmingham, England, United Kingdom
employee experience by enabling the efficient creation and modification of effective and reusable integration components. In particular, the strategy should communicate promote the use of modern, Cloud-based technologies; Infrastructure as Code (IaC), support typical integration use cases; create an operating model that satisfies the demands …/or seek to learn from other Member Firms, client teams and/or clients that are seeking to implement or improve their use of Integration technologies Roadmaps & solutions Build and maintain the Integration & DevOps technology roadmaps and architecture for KPMG assets, working with Capability CTOs, and business ...

ML Engineer: Build Scalable AI & Real-World Impact

Hiring Organisation
Jobleads-UK
Location
Birmingham, England, United Kingdom
Perform feature engineering to improve model accuracy Design ML pipelines and automate model deployment Collaborate with software engineers to integrate models into applications Use MLOps practices for monitoring, retraining, and lifecycle management Conduct A/B tests and measure real-world model performance Stay up to date with … technical documentation and academic publications Participate in data governance and model risk committees Present model results and impact to stakeholders Work on innovative use cases like personalization, forecasting, and predictive maintenance #J-18808-Ljbffr ...