19 of 19 Permanent MLOps Jobs in Scotland

and reinforcement learning. Experience with cloud-based AI deployment (AWS, GCP, or Azure). Proficiency in Python, TypeScript, or Go. Solid grasp of DevOps, MLOps, and scalable AI infrastructure. Excellent stakeholder management and communication skills. Ability to work cross-functionally with product managers, engineers, and business leaders. Experience leading and More ❯

are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained More ❯

control, preferably Git. Experience using foundational agentic AI, Gen AI, data science libraries. Experience querying for and manipulating data using database technologies Familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Experience of Agile and traditional SDLC delivery methodologies More ❯

Senior MLOps Engineer - Hybrid/Dundee Salary up to £70,000 We are looking for 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 … and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for 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 More ❯

Senior MLOps Engineer - Hybrid/Dundee Salary up to £70,000 We are looking for 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 … and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for 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 More ❯

Senior MLOps Engineer - Hybrid/Dundee Salary up to £70,000 We are looking for 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 … and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for 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 More ❯

scale 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. More ❯

tools that accelerate AI innovation Drive the future of ethical and sustainable AI development Work with advanced technologies including AWS Bedrock, SageMaker, and custom MLOps tools What You'll Do: Design and implement scalable, production-ready AI infrastructure and platforms Create intuitive tools and interfaces for AI model deployment and More ❯

modelling techniques Experience of leading delivery of the end-to-end lifecycle of AI models, including development, deployment, monitoring, and maintenance, including knowledge of MLOps practices An understanding of ethical consideration in AI, with the ability to role model their importance with business partners Knowledge of banking data architecture and More ❯

to transform novel research into production systems. You have experience or are interested in learning about the use of AWS Bedrock, SageMaker, and custom MLOps tools You deliver quickly and incrementally. You may not have the perfect solution out of the gate, but you iterate based on what you've More ❯

by a shared goal of building groundbreaking products that shape the future of digital animation. ABOUT THE ROLE As a Senior Machine Learning Engineer (MLOps) at Speech Graphics you will be responsible for driving the vision and implementation of MLOps pipelines and best practices. You will support the Research team … our speech animation technologies. Note that this role doesn't involve hands-on model training. THE KEY RESPONSIBILITIES Drive the vision and implementation of MLOps pipelines and best practices to ensure efficient and scalable machine learning operations. Assume a leadership role in projects, overseeing various project planning and management responsibilities. … security and licensing standards. Write and optimise production-ready code for product deployments. Contribute to continuous integration/continuous deployment (CI/CD) for MLOps components. Provide guidance and maintain comprehensive technical documentation to ensure knowledge sharing and operational continuity. Please note the above is illustrative, not exhaustive. Accordingly, there More ❯

developers who like to share knowledge and help each other to push Optimove forward using the cutting edge of today's tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data … and drift. Automate infrastructure provisioning and deployment using IaC tools. Collaborate with team leader to define technical strategies. Requirements: 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 More ❯

AI consultancy for the energy sector Cloud: Strong AWS (multi‑cloud desirable, certs a plus) Line Management: Lead a small but growing practice (AI, MLOps, Data Science) Consultancy/Energy Experience: Highly beneficial, not essential Visa Sponsorship: Not available – you must already have the right to work in the UK … Define and continuously update AI/ML best practice, guard‑rails and reference architectures; keep us ahead of the curve in GenAI, LLMOps and MLOps Practice Building - Design the end‑to‑end learning journey for AI engineers, data scientists, and machine learning engineers; mentor and line‑manage; lead hiring interviews … fit: AI Stack: Python, SQL, mathematics and statistics essential Generative AI & LLMs: Designing and fine‑tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation MLOps/LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.) Cloud‑Native Delivery: Building scalable AI pipelines on More ❯

AI consultancy for the energy sector Cloud: Strong AWS (multi‑cloud desirable, certs a plus) Line Management: Lead a small but growing practice (AI, MLOps, Data Science) Consultancy/Energy Experience: Highly beneficial, not essential Visa Sponsorship: Not available – you must already have the right to work in the UK … Define and continuously update AI/ML best practice, guard‑rails and reference architectures; keep us ahead of the curve in GenAI, LLMOps and MLOps Practice Building - Design the end‑to‑end learning journey for AI engineers, data scientists, and machine learning engineers; mentor and line‑manage; lead hiring interviews … fit: AI Stack: Python, SQL, mathematics and statistics essential Generative AI & LLMs: Designing and fine‑tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation MLOps/LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.) Cloud‑Native Delivery: Building scalable AI pipelines on More ❯

mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit … learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable working More ❯

mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit … learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable working More ❯

mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit … learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable working More ❯

Hands-on Technical Leadership Serve as a player-coach-writing code, prototyping models, conducting experiments, and reviewing designs. Establish best practices for data science, MLOps, and model deployment at scale. Guide the selection of AI technologies, platforms, and tooling. Team Building & Mentorship Mentor team members and the broader business, fostering … following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines. Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools). Demonstrated experience in building and deploying AI systems in production environments. Strong understanding of data governance, bias, fairness, and regulatory considerations in AI. More ❯

Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. Calling All More ❯