7 of 7 Azure Machine Learning Jobs in the West Midlands

years of relevant industry experience, or a relevant PhD combined with 4-5 years of industry experience. Significant experience applying advanced statistical techniques, machine learning, and AI principles to solve complex business problems. Strong programming skills in Python, with an emphasis on writing clean, efficient … maintainable code to enable scalable and production-grade AI/ML solutions. Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while guiding teams in the effective use of these tools. Extensive expertise ...

stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that … needEssential ExperienceExtensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality ...

Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using ...

Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance … translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using ...

part of something bigger.As an Associate AI Engineer within Kainos’ Workday Products division, you will support the team in productionising AI and machine learning solutions, working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work … roles. Good interpersonal skills, with enthusiasm for collaborating with cross-functional teams and communicating technical ideas clearly. Desirable Experience: BSc in Computer Science, Machine Learning, Software Engineering, or a related field Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation. Familiarity with ...

Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative ...

network planning and assurance, media supply chains and content operations, or software engineering productivity and developer tooling.Strong understanding of major cloud platforms (AWS, Azure or GCP) and their generative AI services, plus the security, data, compliance and operating-model considerations required for enterprise deployment across complex organisations.Exceptional … client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading ...