5 of 5 Contract Machine Learning Jobs in the Thames Valley

translate business needs into clear requirements for technical teams and communicate technical capabilities and constraints to non-technical stakeholders. An awareness of AI and machine learning concepts and a strong interest in developing knowledge of emerging AI technologies. The role does not require hands-on model development, data … face value. Strong collaboration and influencing skills, with the ability to drive clarity and progress without direct authority. Desirable Previous experience working on AI, machine learning, data or emerging technology initiatives. Experience within insurance or financial services. Experience working within research, innovation or R&D environments. Experience supporting ...

working with senior stakeholders. A product development mindset, with ability to identify opportunities in a complex technical space. Technical Good understanding of AI and machine learning concepts. Ability to understand emerging AI technologies quickly. Comfortable discussing technical topics with engineers and researchers. Able to translate technical detail into ...

Engineer- DV Security Cleared- Desirable Technical Experience Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis JavaScript, HTML5 and CSS3 ...

Experience VMware NSX, vSAN, and Software-Defined Data Centre technologies. Edge computing and distributed infrastructure architectures. Green Data Centre and sustainability initiatives. AI/ML, GPU, and high performance computing environments. Advanced observability and AIOps platforms such as Dynatrace or AppDynamics. FinOps and infrastructure cost optimisation experience. DevSecOps integration ...

similar AI/LLM frameworks , together with the ability to work below the framework level when necessary. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Hands-on experience building search … with highly regulated, mission-critical or data-intensive organisations. Experience with large-scale data platforms and distributed search. Contributions to open-source AI/ML projects. The Engineering Challenge This isn't a role focused on experimenting with AI in notebooks or stitching together a collection of third-party APIs. ...