8 of 8 Contract Machine Learning Jobs in the Midlands

Learning Developer to join their team in Warwick. This is a high-impact role for someone passionate about building and deploying production-ready ML solutions in a cutting-edge energy environment. About the Role Siemens Energy is driving the energy transition through innovative technologies and sustainable solutions. They … looking for a skilled ML developer to design, implement, and deploy end-to-end machine learning solutions that directly impact operational and product systems. As the successful candidate, you will: Develop, train, and optimize ML models for real-world applications. Prepare, transform, and validate complex datasets to ensure ...

Machine Learning Developer (Contract) Based - Warwick Rate: £500-£600 per day I am working with Siemens Energy to find an experienced Machine … Learning Developer to join their team in Warwick. This is a high-impact role for someone passionate about building and deploying production-ready ML solutions in a cutting-edge energy environment click apply for full job details ...

Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain … ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural ...

evaluates appropriate data sources to support predictive and analytical use cases. Advocates standards and best practices for developing, evaluating, deploying, and monitoring analytics, ML, and AI solutions. Financial Management Advises on financial planning, budgeting, and cost optimisation for data platforms and solutions. Develops financial forecasts and monitors expenditure against agreed … integration, ETL/ELT, CDC, streaming, APIs, and messaging Data modelling (relational, dimensional, NoSQL) Data governance, security, privacy, and regulatory compliance Power BI, Azure ML, ML/AI, Generative and Agentic AI Strong Experience End-to-end implementation of cloud data platforms Advanced Snowflake capabilities and cost optimisation Complex data ...

Matlab/Simulink, IPG Carmaker or similar. - Experience in programming is essential. - Problem Solving skills and knowledge (6-Sigma or similar). - Knowledge of Machine Learning techniques. - Strong Analytical skills. - Team Player. - Good understanding of AGILE methodology. Education : BSc or MSc in Engineering or Data Science Additional information ...

domains. Tools & Technologies OpenText VIM, VIM Workplace SAP S/4HANA FI, AP, Logistics integrations SAP Ariba procurement integration OCR/ICR technologies (OpenText, Machine Learning capture) SAP Fiori apps for AP & Payments Jira/Azure DevOps/ServiceNow Reporting & analytics (Power BI/SAP Analytics Cloud ...

Oversee data pipelines, ETL/ELT, CDC, streaming and integrations Optimise performance and cost across platforms such as Snowflake and Azure Support analytics, reporting, ML and AI use cases Act as a trusted advisor to senior stakeholders Essential Skills & Experience Strong background in Data Architecture and Cloud Data Platforms Hands ...

level consultancy and first hand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows. Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations … Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases. Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options. HPC Containerization Strategy Produce a strategy for MPI-optimized container images using tools such ...