8 Contract Machine Learning Jobs in the South East

science and robust drug development. You will be a key player in designing and operating software that integrates cutting-edge knowledge graphs, LLMs and ML techniques into our biomedical data processing and drug discovery platforms. We are open to applicants at various career stages, but we are particularly interested in … Lobentanzer in the Saez-Rodriguez Group at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge … science, bioinformatics, software development, or a related field. Strong proficiency in Python and experience with Large Language Model integration. Proofed experience in applying modern ML/LLM frameworks and concepts Good understanding of ML principles including embeddings, cross-validation and fine-tuning. Proficiency in common data preprocessing task and normalisation more »

Lobentanzer in the Saez-Rodriguez Group at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge … the ecosystem of biomedical and/or clinical data resources Knowledge of human genetics, genomics, and/or drug discovery - or are interested in learning about these topics. Experience working with knowledge graphs (e.g., https://biocypher.org) and graph databases (e.g., Neo4j). Experience leveraging embeddings derived from … graph-based representations and/or machine learning. Experience building high-quality software and making frequent deployments as part of a regular software release process. Experience working with infrastructure-as-code, continuous integration, containers, Cloud infrastructure, and deployment. Interest in promoting your work and the ways we have solved more »

in Reading Maclean Moore are working with our global consultancy client to find an AI Security Architect to Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. Responsibilities: Develop and own robust … enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other … identifying vulnerabilities, threats, and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. Collaborate with data scientists more »

in Reading Maclean Moore are working with our global consultancy client to find an AI Security Architect to Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. Responsibilities: Develop and own robust … enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other … identifying vulnerabilities, threats, and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. Define and enforce robust more »

Senior Product Manager with AI (Artificial intelligence) experience specifically Generative AI, LLMs, etc, and someone who understandsthe AI/ML life cycle, tools and frameworks used for those niches. Working within the Blockchain space, my client is scaling up and the next goal is to build/define the first more »

have a passion for exploring cutting-edge techniques in computer vision, with strong skills in Python (C++ proficiency is a plus) and experience with machine learning frameworks such as TensorFlow or PyTorch. This role will involve conducting research and developing advanced computer vision algorithms and models, with a … camera environments. Requirements: Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning (beneficial) Strong programming skills in Python; proficiency in C++ is a plus Experience with machine learning frameworks such as TensorFlow more »

our AI ethical framework and governance. The successful candidate will play a key role in ensuring that the clients use of artificial intelligence and machine learning technologies aligns with regulatory requirements, ethical standards, industry standards and the clients values. This role offers the opportunity to work collaboratively with … regulatory requirements, and best practices. Familiarity with the energy industry and a willingness to learn and understand its nuances. Strong knowledge of AI and machine learning technologies, including their capabilities and limitations. Experience working with regulatory frameworks, such as EU Act, GDPR, and a commitment to compliance and … propose practical solutions, with a keen attention to detail and the ability to assess and mitigate risks associated with AI technologies. Commitment to continuous learning and professional development in the field of AI ethics and related areas. Candidates will ideally show evidence of the above in their CV to more »

and architecture from system requirements • A structured approach to firmware design (RTCA DO-254 or similar) • Cryptography and anti-tamper techniques • Artificial Intelligence including machine learning and genetic algorithms • Electronics test methods and equipment more »