9 of 9 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 ...

management, cybersecurity best practices, and regulatory compliance. Experience in DevOps, CI/CD pipelines, and platform operations. Awareness of emerging technologies such as AI, machine learning etc Responsibilities: Serve as the primary point of contact for clients during platform delivery initiatives. Define and document scope, objectives, and deliverables ...

integration solutions Ensure compliance with governance, security, privacy, and regulatory frameworks including GDPR and SoX Provide architectural leadership across data engineering, analytics, and ML use cases Guide delivery teams on performance, resilience, scalability, and cost optimisation Act as the senior data architecture authority and trusted advisor to senior stakeholders Support … messaging Advanced data modelling relational dimensional and NoSQL Data governance, security, RBAC, privacy, and compliance Power BI and modern data visualisation tools Azure ML, ML AI including generative and agentic AI exposure End to end delivery of complex cloud data platforms Snowflake performance tuning and cost optimisation Large scale 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 ...

Lead AI Engineer Experience: 12+ years total; 3+ years in AI/ML/GenAI (production-grade) About the Role Were looking for a Lead AI Engineer to own the delivery of GenAI and agentic systems end-to-endfrom research prototypes to secure, observable, scalable production systems. You will ...

Lead AI Engineer Experience: 12+ years total; 3+ years in AI/ML/GenAI (production-grade) About the Role Were looking for a Lead AI Engineer to own the delivery of GenAI and agentic systems end-to-endfrom research prototypes to secure, observable, scalable production systems. You will … windows, and hosting strategies; manage budgets and efficiency. Required Qualifications 12+ years overall software engineering experience with 3+ years hands-on in AI/ML/GenAI, including production deployments. Strong system design and scalable architecture skills for AI-first applications and platforms. Hands-on expertise with LLM orchestration frameworks ...

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 ...