7 of 7 Remote Machine Learning Jobs in Midlothian

adversarial attacks and enhance generalization performance by exposing the model to perturbed input examples during training. Supervised Fine tuning (SFT): Develop and execute SFT strategies for specific tasks. Reinforcement Learning from Human Feedback (RLHF): Run and refine RLHF pipelines to align models with human preferences. Pruning: Design and implement model pruning strategies to reduce model size and computational complexity … and deploy AI powered products. Contribute to the development of internal tools and infrastructure for model training and evaluation. Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field and 5+ years of relevant work experience or 7+ years of relevant work experience. Strong programming skills in Python and experience with deep … learning frameworks like PyTorch. Solid understanding of machine learning principles, including supervised learning, unsupervised learning, and reinforcement learning. Proven experience in designing and conducting experiments, analyzing data, and drawing meaningful conclusions. Familiarity with large language models, transformer architectures, and related concepts. Experience with data processing tools and techniques (e.g., Pandas, NumPy). Experience working with More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

BDD, Performance/Load testing etc. DevOps experience - CI/CD, Test Automation, Containerization - tools and processes. Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such More ❯

Proficient in operating within an ITIL environment. Skilled in applying continuous engineering and agile methodologies to manage frequent changes and reduce complexity. Adept at leveraging automation and AI/ML to drive continuous improvement. Technical Skills: The candidate is expected to have a proven track record in the use of Azure Virtual Desktop. Recent experience and certifications of some/ More ❯

as many of the following as possible: Azure (Key Vault/Data Factory/Data Lakes) Power Apps CRMs (ideally D365) Ideally existing/eagerness to gain knowledge across Machine Learning/NLP Ability to work as part of a team, sharing knowledge and using your expertise to help others and improve current and future offerings If you More ❯

Days We're hiring a Data Solutions Manager to manager a growing Data Migration/BI team (currently 3) to deliver projects across data migration, BI and AI/ML , while shaping best practice and mentoring a growing team. You'll engage directly with senior stakeholders in financial services and influence strategy at leadership level. What you'll need: Strong … to have's Experience of Curo, Intelligent Office, Xplan, Plannr, Wealth Dynamix or similar systems for the IFA/Financial Advice Industry would be advantageous Experience of AI/ML (this role will be central to the strategy for this going forward) Interested? Please send your cv for a swift response More ❯