23 of 23 Machine Learning Jobs in Glasgow

strong background in cloud-based machine learning solutions to join our Glasgow team. The successful candidate will work on the design, development, and deployment of large-scale ML models within an AWS environment, supporting advanced analytics and data-driven decision-making. This role requires proven expertise in AWS machine learning technologies, distributed computing, and CI/… Experience Strong proficiency in AWS-based Machine Learning technologies including SageMaker, Lambda, S3, and EC2. Hands-on experience in CI/CD pipelines and Docker containerisation for ML model development and deployment. Expertise in data preprocessing and feature engineering to prepare datasets for large-scale modelling. Proficiency in Python programming with experience of ML frameworks such as TensorFlow … PyTorch, and scikit-learn. Demonstrable experience of distributed computing for handling large ML workloads, particularly using Spark. Strong capability in statistical analysis and model evaluation , ensuring robust and reliable outputs. Desirable Skills Experience with experiment tracking and model registry tools (MLflow, DVC). Knowledge of infrastructure as code using Terraform or CloudFormation. Familiarity with data visualisation tools and techniques to More ❯

data lake architectures. Ensure robust data governance, security, and compliance across all systems. Collaborate with cross-functional teams to gather requirements and deliver solutions that support business objectives. Apply machine learning and data mining techniques where appropriate to add value. Support change and transformation initiatives by providing reliable data systems. Identify risks, implement controls, and follow secure coding … principles and secure coding practices. Experience: Proven track record in data engineering, data governance, and large-scale data systems. Experience working on change and transformation projects. Background in applying machine learning or data mining is an advantage. More ❯

Responsibilities: Report directly to the Chief Technology Officer and collaborate with product, sales, and strategy teams. Develop and test hypotheses to solve critical business challenges. Apply statistical modelling and machine learning to predict trends, improve user experience, and drive operational efficiency. Translate complex analyses into clear, actionable insights for non-technical stakeholders. Build dashboards and data products that … a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. Strong communication and presentation skills with both More ❯

for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML software collaboratively with other engineers - Working effectively under technical leadership while contributing specialized AI/ML expertise - Design and implementation of AI/ML solutions using service-based and serverless … architecture - Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audiences - Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana - Experience working in Agile delivery models - Scrum and/or Kanban frameworks - Formal XP engineering techniques including TDD and pair programming - Working within defined infrastructure-as-code frameworks … and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model More ❯

solutions aligned with business requirements. Apply strong analytical and problem-solving skills to tackle complex technical challenges. Collaborate effectively with engineers, business analysts, and stakeholders. Demonstrate solid understanding of machine learning concepts and deployment strategies. Bring prior experience in data science roles, showcasing a strong foundational knowledge. Exhibit advanced proficiency in Python for designing, testing, and debugging complex More ❯

leading role in shaping how AI is embedded into enterprise-scale systems. Working at the forefront of architecture and innovation, you will design and deliver intelligent platforms, turning advanced machine learning models into production-ready solutions that drive smarter decisions across global operations. You will work closely with expert teams, influence best practices, and help define how … AI transforms complex, corporate environments. Design, develop and implement scalable AI-driven architecture platforms Work closely with data scientists to translate models into production-ready code Embed AI/ML solutions to support advanced decision-making and automation Drive adoption of AI architecture standards and best practices across development teams Lead and participate in communities of practice to encourage innovation More ❯

leading role in shaping how AI is embedded into enterprise-scale systems. Working at the forefront of architecture and innovation, you will design and deliver intelligent platforms, turning advanced machine learning models into production-ready solutions that drive smarter decisions across global operations. You will work closely with expert teams, influence best practices, and help define how … AI transforms complex, corporate environments. Design, develop and implement scalable AI-driven architecture platforms Work closely with data scientists to translate models into production-ready code Embed AI/ML solutions to support advanced decision-making and automation Drive adoption of AI architecture standards and best practices across development teams Lead and participate in communities of practice to encourage innovation More ❯

and spot opportunities to inform continual improvements Build strong relationships with stakeholders and be the business facing member of a highly technical team. Gather business requirements Develop AI/ML modelling using Python in DataBricks for forecasting, outlier analysis and Next Best Action Design and develop MI tools and reporting systems capable of capturing required data, outputting relevant MI and … SQL or Python, writing code which is clean and easily interpreted Outstanding visualisation skills (we use Tableau) Demonstrable ability to extract and transform data for use in modelling and machine learning Experience in customer focused insight is our ideal, with any exposure to call centre environments being a big plus. Any DataBricks experience is highly advantageous What’s More ❯

usability testing and iterate designs based on user feedback and analytics. GenAI & NLP Integration • Design interfaces that support natural language interactions, summarisation, and intelligent recommendations. • Collaborate with AI/ML teams to visualise GenAI outputs and integrate them into user workflows. • Translate complex data catalog structures into intuitive user journeys. User Research & Insights • Conduct user interviews, surveys, and behavioural analysis More ❯

demonstrate depth and breadth across the architecture domains: Applications, Data, DevOps, Enterprise Architecture, Infrastructure, Platforms, Security, Integration, Business Architecture Strong understanding of emerging and innovative technologies, like AI/ML and no code/low code, and how to shape IT strategy and delivery to leverage those technologies. Experience in capability development activities, such as team building, training, recruitment, career More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Managerial experience is advantageous More ❯

understanding of agile methodologies such 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 Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US J.P. Morgan is a global leader in financial More ❯

understanding of agile methodologies such 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 Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US J.P. Morgan is a global leader in financial More ❯

by creating a culture where tech people can make their voices heard and do their best work. You'll build your career in an environment where we're advancing machine learning, leveraging Gen AI, and harnessing FinTech. All while working alongside, and learning from, industry experts. To be considered for this opportunity, you'll be motivated with More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

services or consulting (banking/insurance focus). Knowledge of data governance frameworks (DAMA, DCAM) and regulatory requirements. Strong communication, problem-solving, and collaboration skills. Exposure to AI/ML, cloud data environments, or modern data architectures is a plus. This is a fantastic opportunity to grow your career in data and resilience, working on impactful projects across the financial More ❯

experience conducting user research. Experience building internal tooling-based products for technical users. Experience partnering with multiple teams in a large organisation to deliver shared services. Background in scaling ML products from prototype to production, ideally in a high-traffic environment. The process will have two stages. The first will explore your approach to product management and how your approach More ❯

in banking or insurance . Strong knowledge of data governance frameworks (DAMA, DCAM) and sector regulations. Proven leadership in data transformation and business change programmes. Experience with AI/ML adoption and modern data architectures (cloud desirable). This is an exciting opportunity to make a real impact in shaping the future of data in financial services . More ❯

Track record of delivering business change or transformation within lending environments. Comfortable working with cross-functional teams and engaging with both technical and non-technical stakeholders. While AI/ML knowledge isn’t required, you must be: Curious about emerging technology Able to understand and support the use of basic AI capabilities within business processes Comfortable collaborating with data and More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

on a 6 month contract. Main Responsibilities Experienced software engineers are required to provide hands-on technical leadership to an agile development team seeking to leverage document processing and ML to realise new automation opportunities for the organisation. Enhance and expand automation services using OCR, Object Detection and LLMs. Design, develop, and support system components and operational services. Conduct research … platforms. Contribute to team practices through pairing, mobbing, code reviews, and process improvement. Share knowledge across wider communities of practice. Mentor and coach team members. Key Skills AI/ML Expertise: Experience with OCR, Object Detection, LLMs, and frameworks such as Transformers (Hugging Face), PyTorch, OpenCV, YOLO. Programming: Strong Python (3.9+) skills, including OOP, async patterns, data structures, debugging. Data … CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations, authentication (JWT/OAuth). Software Engineering: Building production AI/ML systems, collaborative development, service/serverless architectures. Development Practices: Agile (Scrum/Kanban), TDD, pair programming, infrastructure-as-code, monitoring tools (Grafana). This role falls outside of IR35 and More ❯

power business-critical applications in financial services. Working within the Enterprise Technology Services (ETS) division, you'll collaborate with architects, data scientists, and development teams to embed AI/ML models into enterprise systems. You'll help drive adoption of AI best practices, shape the bank's AI architecture strategy, and contribute to communities of practice that foster innovation across … the organisation. What you'll be doing: Designing and delivering scalable AI-driven architecture platforms. Embedding AI/ML models into production systems (e.g. recommendation engines). Driving adoption of AI best practices across development teams. Leading and participating in architecture communities of practice. Staying ahead of technology trends such as cloud, AI, distributed systems, and data security. What we More ❯