1 to 25 of 111 Machine Learning Jobs in Scotland

growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You'll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring … data pipelines to implementing and validating ML models, you'll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real impact on sustainability and food security. The team is building an ML-first … actively used by scientists to guide real experimental decisions. The Role: They are looking for a Research Engineer who will work closely with ML scientists, chemists, and biologists to design, implement, and evaluate new modelling approaches. Your focus will be on building models, running experiments, validating results, and ensuring that ...

Director of AI | Machine Learning | Deep Learning | Natural Language Processing | Large Language Models | Leadership | Remote, UK Role Overview As the AI Director at a fast-growing, well-funded technology startup, you will lead the strategy, research, and implementation of the company's AI initiatives, driving the technical … LLMs, agents, and related fields, converting research insights into actionable roadmap items. Qualifications Deep LLM/Generative AI Expertise 7+ years in AI/ML with 3+ years focused on LLMs, generative AI, and agent systems, including hands-on experience with transformer architectures, fine-tuning, and production deployments. Proven Product ...

passionate and skilled Machine Learning Engineer to join our growing team. Youll play a key role in designing, developing, and deploying scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative … stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance ...

scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented ML Ops Engineer to join our growing teams. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost … TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills ...

SENIOR ML ENGINEER/LONDON/£120,000 BASE SALARY Want to be hands-on with AI, working on greenfield projects for a growing business in the FinTech space? I'm looking for an experienced Machine Learning Engineer to join a growing business who are going more … holiday plus bank holiday Flexible, hybrid working from central London And much more What do we need from you? PyTorch, Python, understanding of the machine learning ecosystem AWS ETL processes Good understanding of vector databases (they use open search) Proven experience using LLMs through APIs Sound like ...

know our A-Team at Join the mission as a Senior Security Consultant. We're seeking a technically skilled and analytical AI/ML Penetration Tester to strengthen our cybersecurity defenses through advanced, cutting-edge testing of AI and machine learning systems. As a Penetration Tester supporting …/ML, you will work closely with clients to deliver clear, actionable reports and contribute to the development of security best practices. Responsibilities: Conduct engagements on AI/ML systems, web applications and API's independently and provide technical oversight Design and execute advanced adversarial testing (e.g., evasion, data poisoning ...

ingestion, model training, evaluation, and deployment Implement best practices in model versioning, monitoring, and continuous improvement Contribute to the evolution of our AI/ML infrastructure, including CI/CD pipelines and MLOps tools Stay current on advancements in AI, ML, and deep learning and assess their applicability … aligned with regulatory requirements Skills And Qualifications 2-4 years of professional software engineering experience, including at least 4 years in AI/ML-focused roles Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field Experience working in a SaaS ...

ingestion, model training, evaluation, and deployment Implement best practices in model versioning, monitoring, and continuous improvement Contribute to the evolution of our AI/ML infrastructure, including CI/CD pipelines and MLOps tools Stay current on advancements in AI, ML, and deep learning and assess their applicability … aligned with regulatory requirements Skills And Qualifications 2-4 years of professional software engineering experience, including at least 4 years in AI/ML-focused roles Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field Experience working in a SaaS ...

Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science … Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working ...

Role Description This is a remote, contract role for an LLM Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development - from research and large-scale model training to production deployment - while mentoring … dependent visa/ILR/British National. Day Rate: £300 (Including VAT), Outside IR35 Roles & Responsibilities Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects - from data collection to training, evaluation, and deployment. Collaborate with ...

interactive workshop to teach artificial intelligence concepts through guided exercises and discussion Serve as a thought leader, evangelizing the benefits of AI testing & reinforcement learning Maintain deep understanding of competitive and complementary technologies and vendors and how to position Braze in relation to them Collaborate cross-functionally (e.g., sales … engaging presenter: You are an enthusiastic and engaging presenter, with the ability to communicate effectively with a wide range of stakeholders An expert in machine learning: You have a solid grasp of machine learning, including a familiarity with reinforcement learning Mar-tech savvy: You understand ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Graduate Scheme. Two years. Real impact Aligned … challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. ...

development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Industrial Placement Scheme. One year. Real impact … challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. ...

research with implementation, ensuring scalable, explainable, and robust AI systems across the organisation! You will design and implement next‐generation agentic AI and traditional ML that power critical decisions across the organisation! The key activities in the role are: Architect agentic systems: multi‐step reasoning, autonomous decision‐making, and safe … action flows. Operationalise LLM solutions: evaluation, fine‐tuning, and prompt strategies with measurable outcomes. Engineer APIs and containerised microservices for scalable ML; embed CI/CD, model versioning, and monitoring. Assure interpretability, fairness, and audit readiness; meet compliance standards within the field. Experiment using human‐feedback loops and A/ ...

Experts) Referral Partner: Crossing Hurdles Type: Hourly contract Compensation: $105/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities: Critically evaluate machine learning and artificial intelligence research papers for methodological rigor, novelty, and clarity. Inspect Python source code, experimental pipelines, and experiment logs to validate … research studies. Requirements: Strong experience in artificial intelligence, machine learning, or closely related research domains. Demonstrated ability to read, interpret, and evaluate ML research papers and technical methodologies. Comfort reviewing Python code, experimental workflows, and quantitative logs. Experience conducting academic literature reviews and assessing research originality. High attention ...

level executives, translating complex product capabilities into clear business outcomes. Strong foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML) principles, with the confidence to discuss strategic AI roadmaps and Generative AI applications with executive stakeholders. Experience in managing and expanding customer relationships at various levels. Exceptional ...

need to demonstrate: Proven experience recruiting for highly technical roles within Financial Services, including AI (Generative AI and Agentic AI), Machine Learning (ML), Data Science Analytics-heavy roles, blockchain/crypto hiring or quantitative research Have in-depth local knowledge of the Technical market especially focused ...

need to demonstrate: Proven experience recruiting for highly technical roles within Financial Services, including AI (Generative AI and Agentic AI), Machine Learning (ML), Data Science Analytics-heavy roles, blockchain/crypto hiring or quantitative research Have in-depth local knowledge of the Technical market especially focused ...

Lead ML Ops Specialist **UK Remote • Contract • Outside IR35** I'm supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under … driven strategy — and they need a Lead ML Ops specialist to help drive it. This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You'll work directly with their AI Ops team to define the platform, establish ...

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 … 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 ...