5 of 5 Permanent Machine Learning Engineer Jobs in the Thames Valley

innovative tech business scale their technology team in the UK. Due to continued growth and demand for their products they now urgently need a Machine Learning Engineer to help bolster their team. This role would suit a Machine Learning Engineer who is already confident … UK. Their office is based in Milton Keynes - you may need to visit the office on rare occasions. To be a successful, the ideal Machine Learning Engineer candidate will have: Highly skilled in Python. Knowledge of AWS or GCP. Ideally experience of SKLearn/Docker/MLFlow … or PyTest Excellent communication and problem solving skills. What is in it for you? As a talented Machine Learning Engineer you can expect: Great salary - Up to £80,000 base and Package (neg for the right person) If you are an ambitious Machine Learning Engineer More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new … Excellent Healthcare and Pension Scheme Opportunities for career development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will More ❯

Machine Learning Engineer (Medical & Drug Discovery) Oxford (2 days a week onsite) Competitive (Up to £85,000, DOE) Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges … this is your chance to make a real impact. Role Overview: As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop … ML models for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure More ❯

Machine Learning Engineer (Medical & Drug Discovery) Oxford (2 days a week onsite) Competitive (Up to £85,000, DOE) Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges … this is your chance to make a real impact. Role Overview: As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop … ML models for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure More ❯

Role Overview We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients. The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop … work with a passionate team on impactful projects across various industries, helping clients achieve strategic goals through data and AI. Responsibilities Create and customize machine learning models, primarily using Azure AI services, for use cases like NLP, computer vision, speech recognition, and anomaly detection. Integrate Azure AI services … with other Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search. Handle data ingestion, processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. Optimize performance, scalability, and reliability of ML solutions using best practices. Monitor More ❯