76 to 100 of 107 Machine Learning Jobs in Scotland

architectural software patterns Understanding of business requirements and how they affect software. Certifications in cybersecurity (e.g., CISSP, CEH, OSCP) are a plus. Knowledge of machine learning or AI techniques applied to security solutions is a plus Technical Skills Proficiency in C , C++ , and Assembly programming languages. Having a More ❯

as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Knowledge in Big Data development and software design Understanding of Risk Management and Credit Risk More ❯

or more programming languages, applications, and architecture. Deep knowledge of software architecture, applications, and technical processes, with expertise in areas such as cloud, AI, machine learning, or mobile. Ability to independently resolve design and functionality problems. Experience with cloud technologies (AWS or GCP), via hands-on work or More ❯

operations PREFERRED QUALIFICATIONS Experience with FrontEnd React and/or Nextjs. Excellent problem-solving and analytical skills Strong communication and collaboration skills Familiarity with machine learning concepts and LLM agents. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

primarily JAVA based code) Serve as a subject matter expert in specific focus areas (e.g. developing for the Public Cloud, Data Mesh, AI/ML) Be an advocate for firmwide standard frameworks, tools and best practices across the engineering community. Promote diversity, equity, inclusion, and respect within the team culture. More ❯

Experience? We are from the Kindle Books Team looking for a Senior Manager in Applied Science who will be managing the Applied Scientists and ML Engineering Team. The team is looking to take the reading experience in Kindle to the next level with a set of innovations! We are building … bringing state-of-the-art innovations for improving the reading experience. The Senior Manager will also be managing the Analytics, Data insights, experimentation, and ML Operations influencing all the key spaces aiding in Science deliverables. Key job responsibilities You independently manage Science & Engineering teams. You are able to hire, develop … or need to change to accommodate business needs. You will be responsible for various aspects of the Science teams like Analytics, Business Intelligence, MLOps, ML Engineering, Data Science, and Applied Science. You keep yourself up-to-date with the recent advances, thereby guiding the team with the right decisions. You More ❯

architectural patterns Awareness of business requirements and their impact on software Cybersecurity certifications (e.g., CISSP, CEH, OSCP) are a plus Knowledge of AI and machine learning in security is a plus Technical Skills: Strong proficiency in C++, C, and Assembly Experience with secure coding practices and mobile app More ❯

environments. Languages: English : Fluent (required) Mandarin Chinese : Fluent or professional proficiency (preferred, but not mandatory) Other Skills: Experience in privacy, cybersecurity, or AI/machine learning technologies is a plus. More ❯

a geographically dispersed team environment Strong organizational, multi-tasking, and prioritizing skills Education & Preferred Qualifications Experience with cybersecurity governance, information protection governance, AI and machine learning governance related to encryption and data loss prevention, or related functions demonstrated through work, military, or education Experience using ticket tracking tools More ❯

a geographically dispersed team environment Strong organizational, multi-tasking, and prioritizing skills Education & Preferred Qualifications Experience with cybersecurity governance, information protection governance, AI and machine learning governance related to encryption and data loss prevention, or related functions demonstrated through work, military, or education Experience using ticket tracking tools More ❯

a geographically dispersed team environment Strong organizational, multi-tasking, and prioritizing skills Education & Preferred Qualifications Experience with cybersecurity governance, information protection governance, AI and machine learning governance related to encryption and data loss prevention, or related functions demonstrated through work, military, or education Experience using ticket tracking tools More ❯

positions. Applicants are invited from any area of applied statistics, including statistical or actuarial data science. Those working in actuarial science, Bayesian statistics, statistical learning and/or actuarial statistics are particularly welcome to apply. Candidates who would like to work with the University's multi-disciplinary Global Research … will have a strong track record of research in applied statistics, actuarial or statistical data science which includes fields such as Bayesian statistics, statistical learning, actuarial statistics, computational statistics and statistical methodology. You will either be established or have the potential to establish yourself as an international research leader … research in your field. You will have a strong track record of research in applied statistics or actuarial data science - which may also include machine learning, financial risk and climate change risk - as demonstrated through publications, citations, external invitations and research funding. You will be established as an More ❯

classification, segmentation, and bounding box performance at scale Leveraging expert-labelled datasets to build high-accuracy visual models Building and optimising workflows in Azure Machine Learning (AML) for both dev and prod Develop and execute best practices for experimentation enabling the team to make data informed decisions Contributing … value Hands-on experience with Azure , yolo , and OpenCV Proven track record training custom image models on real-world datasets Experience deploying to Azure ML production pipelines Experience with LLMs in production settings Strong understanding of model evaluation, data quality, and performance tuning Bonus: Experience in insurance, housing, construction, or More ❯

on teaching, research and scholarship in areas of Electrical and Electronics Engineering (e.g. in Microelectronics, Power Engineering, Engineering Design, Digital Design, Embedded Systems, Communications, Machine Learning and Artificial Intelligence, and other relevant fields). We particularly welcome applications from women and other under-represented groups in engineering to … the School/College. Contribute to the ongoing development and design of under/postgraduate curricula, to ensure a research-led approach to student learning and assessment in the discipline and/or profession. Manage a variety of academic administrative activities, including timely delivery of effective and constructive feedback … skills including demonstrable supervisory skills. A strong commitment to high quality, research-led, student-oriented teaching and proven ability to engage students to inspire learning, and to provide pastoral care to students. For appointment at Grade 8/9: Excellent leadership skills, able to develop early career academic colleagues More ❯

earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

successful discipline integration around Information Management and technology development.This will include reach-back to our other technical experts in BIM, GIS, digital engineering, automation, machine learning and design. The Drive and ambition to stay informed of digital tools developments within the wider business and identify opportunities for transfer More ❯

matrix led engagements. Strong knowledge of Data technology and concepts, including Azure Databricks, Dynamics 365, Microsoft Fabric, data pipelines, data security, MDM, data cataloguing, ML/AI & Analytics . Demonstrable knowledge of data & digital innovation trends, for example data architectures supporting GenAI and Customer Next Best Action/Personalisation. More ❯

Amazon's business. As BDT grows and the data processing landscape evolves, our data is consumed by thousands of Amazon teams including Research Scientists, Machine Learning Specialists, Business Analysts, and Data Engineers. We are developing an enterprise-wide Big Data Marketplace leveraging AWS technologies, enabling teams to produce More ❯

cutting-edge solutions that empower businesses to thrive in the digital age. Our comprehensive suite of services, including web design, digital marketing, AI and machine learning consultancy, data analysis, and software development, is designed to drive innovation and achieve tangible results across businesses of all sizes. We are More ❯

currently seeking a Principal Cyber Security Consultant to join a highly awarded solutions leader, providing cloud, data and security services that power AI and Machine Learning Transformation. Ready to take your cybersecurity career to the next level? Join a leading organisation that offers flexible working, real opportunities for More ❯

a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role: Managing and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the … lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design … cloud environments. The Ideal Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version More ❯

things could break, and how to design better guardrails. This is a role that values practical experience in DevOps, cloud-native infrastructure, AI/ML applications or large-scale system delivery—and retools that into a new kind of strategic, business-critical impact You'll lead or co-lead audits … You’ll Be Doing Shape and lead targeted technology audits, focused on cloud controls, modern software engineering, DevSecOps and the use of AI/ML in production. Translate your real-world experience into smart, risk-aware insights during audits—bringing a healthy dose of pragmatism to theoretical risk discussions. Work … experience delivering or governing modern tech platforms—whether as an engineer, architect, SRE, platform lead, or transformation consultant. Familiarity with generative AI or applied ML systems in production settings—especially the associated risks (data drift, explainability, etc.). Exposure to cloud platforms (GCP, Azure, AWS) and related security or operational More ❯

and/or NoSQL technologies such as MSSQL, MongoDB, Snowflake, or Redis. Strong interest in distributed systems, infrastructure services, cloud technology and AI/ML techniques. Prior experience with message broker technology such as Kafka or gRPC. Prior experience or academic knowledge in AI, solutions, and technology is a plus. … in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience More ❯

and delivering data solutions in the Databricks Data Intelligence platform, either on Azure or AWS. Good working knowledge of Databricks components: DeltaLake, Unity Catalog, ML Flow, etc. Expertise in SQL, Python and Spark (Scala or Python). Experience working with relational SQL databases either on premises or in the cloud. … providing exciting opportunities and challenges to generate positive change for our clients. You can expect guaranteed investment in your personal development. We have structured learning paths on a number of platforms including Udemy and not to mention the in-house knowledge that is shared by all of our consultants … Manchester & London. 25 days annual leave (plus bank and public holidays). Birthday day off - celebrate with an extra holiday. Career progress programme - guaranteed learning and development investment and your own career coach. Life insurance. Private medical health insurance. Contributory pension. Health and wellbeing group. And many more. If More ❯