1 to 25 of 81 Machine Learning Jobs in Scotland

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 ❯

continuous learning, and are passionate about advancing your expertise in data science and AI You excel in collaborative team environments while taking full ownership of your deliverables Advanced ML Architectures : Experience implementing specialised neural networks such as Graph Neural Networks (GNNs) for modelling complex relationships or Physics-Informed Neural Networks (PINNs) for incorporating domain knowledge LLM Specialisation : Hands-on … predictive modelling, or scenario generation in data-driven applications Energy Domain Knowledge: Background in power systems, energy dispatch optimisation, grid modelling, or other energy sector applications where AI/ML drives operational decisions We use a wide variety of tools and technologies across our products. For this role, we're looking for: Strong Python proficiency with hands-on experience in … AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and More ❯

a collaborative, forward-thinking environment where innovation is encouraged and your growth is supported. This role offers a unique opportunity to work on a wide range of AI and ML projects, from model development and validation to data analysis and stakeholder engagement. You'll be joining a team that values curiosity, creativity and continuous learning, and you'll play … a key role in helping us unlock the full potential of data across the Group. Responsibilities Develop AI and ML solutions with guidance, including feature selection, model training and validation Prepare and explore data ahead of modelling Utilise a modern tech stack for data science, including python, google cloud and other tools Work closely with data and ML engineers to … are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive. What you'll need Experience developing or supporting AI and ML models, including the commonly used python libraries for machine learning and data pre-processing. Awareness of LLM methods and skills in prompting or fine-tuning are beneficial but More ❯

Job Description: Your impact Are you a software engineer with a working knowledge of Artificial Intelligence and Machine Learning? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If you like the sound of developing software for projects such as … a 6th generation Stealth Fighter jet or a revolutionary Laser Directed Energy Weapon, then Leonardo would like to hear from you. Leonardo has significant interest in exploiting AI/ML technology so this role will be supporting our systems engineers with research projects while developing deployable software that makes use of AI/ML technologies. We are looking for someone … across the full software lifecycle Experience of using C++ and Python with familiarity of numerical techniques Strong numeric, analytical and problem-solving skills with a focus on AI/ML algorithm development Experience delivering software in a regulated environment: medical, aerospace, or automotive Experience of real-time operating systems and embedded development Experience working to an Agile lifecycle. Awareness of More ❯

Enhance and evolve the existing forecasting suite in collaboration with traders and market specialists. Work closely with developers and consultants in an agile, cross-functional environment. Apply cutting-edge machine learning techniques to improve forecasting accuracy and usability. Tech Environment Languages: Python, C#, front-end web technologies Infrastructure: Microsoft Azure Modelling Approaches: Machine learning, optimisation, stochastic … and agent-based models About You Experience in the energy sector - markets, trading, forecasting, etc. Strong Python skills with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). Knowledge of GitHub/Azure DevOps and SQL advantageous. Excellent communicator, able to explain technical concepts to non-technical audiences. Degree (or equivalent experience) in a numerical or computer science subject. More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

LLMs), machine learning, Python and associated libraries, as well as exposure to working with AWS. Skills and Experience Summary (A blend of); Commercial experience with AI/ML technologies OCR, Object Detection and LLM analysis implementation LLM fine tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented … programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further information on this opportunity please forward an updated CV to Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

team focused on delivering intelligent automation solutions using cutting-edge technologies. In this role, you'll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams … is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development … REST APIs and model serving endpoints * Requests library for HTTP client operations and external API integration * Authentication/authorisation implementation (JWT, OAuth) Software Development: * Making excellent quality AI/ML software collaboratively with other engineers * Working effectively under technical leadership while contributing specialised AI/ML expertise * Design and implementation of AI/ML solutions using service-based and serverless More ❯

team focused on delivering intelligent automation solutions using cutting-edge technologies. In this role, you'll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional … teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model … REST APIs and model serving endpoints * Requests library for HTTP client operations and external API integration * Authentication/authorisation implementation (JWT, OAuth) Software Development: * Making excellent quality AI/ML software collaboratively with other engineers * Working effectively under technical leadership while contributing specialised AI/ML expertise * Design and implementation of AI/ML solutions using service-based and serverless More ❯

Embedded Machine Vision Engineer - Hybrid (Aberdeen) Salary: £70,000 - £80,000 Location: Aberdeen - Hybrid - 3 days from home a week KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify anomalies … responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure deterministic, certifiable software execution under memory and timing constraints Evaluate model performance under varied environmental conditions (lighting, motion, etc.) Collaborate closely with software … time systems) Proven background in embedded machine vision or image pipelines Hands-on with IR, CMOS, or similar camera/imaging systems Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking) Comfortable working in memory- and timing-constrained environments Preferred Qualifications: Degree or MSc in Computer Vision, Embedded Systems, or related field Experience developing software More ❯

Embedded Machine Vision Engineer - Hybrid (Aberdeen) Salary: £70,000 - £80,000 Location: Aberdeen - Hybrid - 3 days from home a week KO2's client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify anomalies … responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure deterministic, certifiable software execution under memory and timing constraints Evaluate model performance under varied environmental conditions (lighting, motion, etc.) Collaborate closely with software … time systems) Proven background in embedded machine vision or image pipelines Hands-on with IR, CMOS, or similar camera/imaging systems Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking) Comfortable working in memory- and timing-constrained environments Preferred Qualifications: Degree or MSc in Computer Vision, Embedded Systems, or related field Experience developing software 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 ❯

design through production Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Preferred Qualifications Experience designing data platforms that support analytics, machine learning, and operational workloads Familiarity with data governance, privacy, and compliance frameworks Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) Experience with infrastructure-as … can feel really proud of what you and your team created Personal development - clear and defined career pathways for every role at every level, a supportive manager, loads of learning opportunities and even 10% of your time to dedicate to your learning. Belonging - everyone at FanDuel works for each other, we win together, make mistakes together and have lots More ❯

it, how to store it, how to structure it, how to transform it, and how to consume it for data-centric functionality including data APIs, data monetisation, Gen AI, machine learning, management information, and reporting. Joining Deloitte provides access to strong training and learning opportunities. You will work in fast-paced teams with talented, motivated colleagues and More ❯

Overview AI Engineer 6-month contract (extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced AI/ML Engineer to help our Central Government client build high-performance machine learning systems and cutting-edge AI features. You'll work with technologies like LLMs, OCR, object detection, and cloud-native deployments … contributing to scalable, production-ready solutions in a collaborative, agile environment. Responsibilities Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK … tuning (LoRA, QLoRA, etc.). Qualifications Solid Python skills (3.9+) with deep knowledge of async, OOP, and performance tuning. Hands-on experience with LLM fine-tuning , image processing, and ML libraries. Experience building and maintaining cloud-native AI/ML services . Familiarity with Agile development , TDD, and infrastructure-as-code. Bonus: experience with multi-modal models, RLHF , or edge More ❯

AI Engineer 6-month contract (extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced AI/ML Engineer to help our Central Government client build high-performance machine learning systems and cutting-edge AI features. You'll work with technologies like LLMs, OCR, object detection, and cloud-native deployments , contributing … to scalable, production-ready solutions in a collaborative, agile environment. What You'll Do: Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/… QLoRA, etc.). AI Engineer requirements: Solid Python skills (3.9+) with deep knowledge of async, OOP, and performance tuning. Hands-on experience with LLM fine-tuning , image processing, and ML libraries. Experience building and maintaining cloud-native AI/ML services . Familiarity with Agile development , TDD, and infrastructure-as-code. Bonus: experience with multi-modal models, RLHF , or edge More ❯

month contract (extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced Python Engineer with a strong understanding of AI/ML/AWS, and commercial expertise in deploying AI systems using state-of-the-art machine learning libraries, cloud infrastructure, and modern Python-based tooling. What You'll Be Working … serverless architecture Essential Python Engineer skills and experience: Strong Python 3.9+ skills with deep understanding of OOP, async/await, and debugging Proven experience building and deploying AI/ML systems in the cloud ( AWS ) Solid grasp of CI/CD , infrastructure as code (CDK) , and Agile methodologies Familiarity with TDD , pair programming, and modern development practices Desirable: Advanced fine … tuning techniques (LoRA, QLoRA) RLHF, multi-modal AI, or edge deployment experience ML experiment tracking (MLflow, Weights & Biases) and A/B testing strategies If you possess the above technical skills and hands-on experience, please apply today! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯