6 of 6 Contract Machine Learning Jobs in the Midlands

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 ...

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 ...

automated JML (Joiner-Mover-Leaver) workflows, access certifications, SoD policies, role models, and identity life cycle processes. Design governance models supporting both human and machine identities, referencing patterns highlighted in enterprise evaluations. Create standardized design documents, patterns, and platform configuration guidance. 2. Implementation Leadership Drive the integration, transformation … both IT and OT environments Experience integrating SailPoint with BeyondTrust, Entra ID, Active Directory, ServiceNow, SIEMs, and cloud platforms. Familiar with AI/ML-driven IGA insights and automation features (SailPoint Identity AI). Architecture & Leadership Ability to translate business needs into scalable identity governance architectures. Strong understanding of Zero ...

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 ...

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 ...

provides high-level consultancy and firsthand engineering expertise to moderniseHigh-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimisation, and MPI-aware workflows.Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations based … Assessment & OptimizationConduct 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 ...