21 of 21 MLOps Jobs in Scotland

changes. We welcome open-minded 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 science and R&D teams … ML systems for performance, errors, 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 cloud environments. Proficiency with containerization More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to support business objectives. Your role will 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: Managing and optimising existing ML model deployments to ensure reliability …/CD pipelines, monitoring systems, 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 cloud environments. Proficiency with containerization 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: Managing and optimising existing ML model deployments to ensure reliability More ❯

changes. We welcome open-minded 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 science and R&D teams More ❯

data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or More ❯

data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or More ❯

data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or More ❯

Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Good understanding of MLOPS Good/In depth experience of Oracle stack - database, oracle analytics, ODI, Golden gate Good knowledge of common big data platforms and best practices Experience of working in an Agile More ❯

Familiarity with AWS and its tools Excellent communication skills and a collaborative mindset Nice to have: Experience with AI/ML infrastructure or supporting data science workflows Exposure to MLOps tooling or machine learning model deployment More ❯

Familiarity with AWS and its tools Excellent communication skills and a collaborative mindset Nice to have: Experience with AI/ML infrastructure or supporting data science workflows Exposure to MLOps tooling or machine learning model deployment More ❯

Familiarity with AWS and its tools Excellent communication skills and a collaborative mindset Nice to have: Experience with AI/ML infrastructure or supporting data science workflows Exposure to MLOps tooling or machine learning model deployment More ❯

independently in a hybrid or remote environment. Experience working in agile environments and iterating based on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on More ❯

independently in a hybrid or remote environment. Experience working in agile environments and iterating based on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on More ❯

independently in a hybrid or remote environment. Experience working in agile environments and iterating based on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on More ❯

Description You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data & AI consulting and lead from More ❯

Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This More ❯

Be Doing ✅ Design and deliver scalable data architecture , pipelines, and semantic models ✅ Build and deploy production-grade AI solutions (predictive & generative) ✅ Champion automation-first engineering and modern DataOps/MLOps practices ✅ Lead the development of AI & data products tied to measurable business outcomes ✅ Manage, mentor, and grow a high-performing data engineering team ✅ Work cross-functionally with architects, analysts, data More ❯

Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in Python (especially working with Boto3 and AWS APIs) Familiarity with data replication tools (e.g., AWS DMS) Understanding of MLOps and modern data science platforms is a plus Experience working in Agile environments 🌟 What we offer: Up to £90,000 + discretionary annual bonus 28 days holiday (with options to More ❯

with AI researchers and scientists 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 learned. You are hands on More ❯

Practical and/or theoretical knowledge of Information Retrieval techniques (Recommendations, Search). DESIRED BUT NOT REQUIRED: Experience developing and deploying recommender systems. Experience with model lifecycle management and MLOps, including model deployment, versioning and monitoring. Mentorship of other team members. If you can bring some of these skills and experience, along with transferable strengths, we'd love to hear More ❯