26 to 50 of 334 MLOps Jobs in the UK excluding London

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning? We’re hiring Mid, Senior, and Lead MLOps Engineers for a fast-growing tech start-up at the … mission-critical domains. You’ll play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients. What You'll Do as an MLOps Engineer: Deploy and manage machine learning models in production environments Build and optimise scalable MLOps pipelines using modern tools and cloud platforms (AWS, Azure, GCP) Work with tools like Terraform … Collaborate on high-impact, real-world AI/ML projects that truly make a difference Contribute ideas in a relaxed, open, and innovation-driven culture Location & Flexibility for the MLOps Engineer: Hybrid role based in Manchester Strong work-life balance and a genuinely fun, inclusive environment Excellent career progression, bonus structure What We're Looking For Most importantly, you must More ❯

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning? We’re hiring Mid, Senior, and Lead MLOps Engineers for a fast-growing tech start-up at the … mission-critical domains. You’ll play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients. What You'll Do as an MLOps Engineer: Deploy and manage machine learning models in production environments Build and optimise scalable MLOps pipelines using modern tools and cloud platforms (AWS, Azure, GCP) Work with tools like Terraform … Collaborate on high-impact, real-world AI/ML projects that truly make a difference Contribute ideas in a relaxed, open, and innovation-driven culture Location & Flexibility for the MLOps Engineer: Hybrid role based in Manchester Strong work-life balance and a genuinely fun, inclusive environment Excellent career progression, bonus structure What We're Looking For Most importantly, you must 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 ❯

scalable data science solutions, including predictive models, AI/ML-powered decision engines, and automation frameworks that deliver measurable commercial value. This includes integrating cloud-based, real-time, and MLOps best practices to ensure robust, production-ready solutions. Leading the end-to-end lifecycle of data science initiatives, this role will take solutions from ideation and prototyping to production deployment … Develop, deploy, and scale advanced data science solutions, including predictive models, AI/ML decision engines, and automation frameworks, to drive data-led operational decisions. Implement and oversee robust MLOps practices, ensuring models remain accurate, explainable, and optimized through continuous monitoring, retraining, and refinement. Champion responsible AI and governance, ensuring ethical, fair, and transparent AI/ML practices that align More ❯

end data science and analytics projects aligned with business priorities. Model Development : Build, test, and deploy predictive and optimisation models using Databricks, Azure, and Python , incorporating best practices in MLOps and governance. Insight Generation : Translate complex datasets into accessible and actionable insights using Power BI and other visualisation tools. Stakeholder Collaboration : Partner with cross-functional teams to embed analytics into … advanced analytics, or data engineering, with a track record of delivering measurable outcomes. Proficiency in Databricks, Azure, Python, SQL, and data visualisation using open source libraries. Experience with modern MLOps practices for deploying and maintaining models in production. Excellent communication skills - able to simplify technical concepts for varied audiences. Strong problem-solving skills and a focus on value creation over More ❯

with ML libraries and frameworks Solid understanding of statistical modelling, natural language processing (NLP), and/or deep learning Experience working with structured and unstructured data sources Familiarity with MLOps practices and tools (e.g., model versioning, CI/CD for ML, cloud deployment) Excellent communication and stakeholder engagement skills Bachelors or Masters degree in Computer Science, AI, Data Science, or More ❯

/conferences Experience with Git-workflow within a production team Experience with Agile product development Experience of working in a start-up Best practices in data engineering Familiarity with MLOps Experience with building Restful services Experience presenting in front of project stakeholders Keen business development interest Start date : Immediate Contract Type : Permanent Oxford Dynamics is committed to creating an inclusive More ❯

Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: Competitive Salary & Bonus : £35,000 – £45,000 plus performance-based incentives Hybrid Working : A flexible mix of office and remote work Career More ❯

with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio. 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 ❯

to complex business problems, with the goal of improving supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation. You’ll be supported by a modern MLOps and Data Engineering function, giving you the time and tools to focus on innovation , model development , and strategic delivery . Key Responsibilities Lead and mentor a data science team focused … mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams to productionise models using robust and scalable pipelines. Champion the integration of model outputs into wider data and reporting platforms. Clearly communicate technical insights and model outcomes … functional squads. What You’ll Get in Return A leadership role where your work has direct and measurable impact on operational efficiency and bottom-line performance. Dedicated support from MLOps and Engineering teams to accelerate delivery. Access to career development support including coaching, mentoring, and leadership training . A competitive salary package including car allowance , bonus , and comprehensive benefits such More ❯

areas for improvements and updates. Passionate about work, output and quality. Curious and willing to onward develop and learn in ML/AI area. Desirable Criteria Benefits: Familiarity with MLOps principles Familiarity with Geospatial (GIS) data Familiarity and experience with agile development in delivery Experience in Automation/Testing frameworks Experience of Continuous Integration/Development and Tooling Experience of More ❯

programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI Awareness of AI ethics, bias mitigation, and fairness in models. Understanding More ❯

with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio. More ❯

with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio. More ❯

DevOps Engineer with AWS To successfully build and deliver our next-generation cloud-hosted and cloud-native technology platforms. You will work within product teams responsible for the full software development life cycle, from conception to deployment. You will support More ❯

DevOps Architect with AWS - Leeds Serve as an AWS specialist, consult and provide technical guidance on AWS design, governance, performance, scalability, security, operations and cost control best practices to ensure we maximize our AWS investment Work with our partners in More ❯

JOB TITLE: Senior Solution Architect (Data) SALARY : £90,440 - £106,400 LOCATION(S): Bristol HOURS: Full-time - 35 hours per week WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of More ❯

Have hands-on experience with LLMs , ML/DL frameworks like PyTorch, TensorFlow, LangChain ✅ Know how to deploy, monitor & optimise ML models in real-world systems ✅ Are comfortable with MLOps tooling (CI/CD, Docker, Kubernetes) & cloud platforms (GCP/AWS/Azure) ✅ Want to build first-of-its-kind AI infrastructure with a lean, focused, high-performing team ✅ Love … building smart, scalable tech that makes a massive impact What you’ll do: Build production-grade AI/ML systems (NLP, OCR, LLM-based) Develop and manage robust MLOps pipelines and infrastructure Optimise models for performance, scalability, and cost Deploy observability tools (OpenTelemetry, Grafana) Collaborate with software engineers to embed AI into the product using APIs Create real-time, context More ❯

/conferences Experience with Git-workflow within a production team Experience with Agile product development Experience of working in a start-up Best practices in data engineering Familiarity with MLOps Experience with building Restful services Experience presenting in front of project stakeholders Keen business development interest If this looks of interest then please send your CV now and call for More ❯

business-critical machine learning models using Azure ML in production environments. Strong skills in data wrangling using Python, SQL, and ADF . Proficiency in CI/CD, DevOps/MLOps , and version control systems. Familiarity with data visualization and reporting tools, ideally PowerBI. Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders. Desirable More ❯

like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions. Knowledge of MLOps practices and tools, such as MLflow or Kubeflow. Strong problem-solving skills, with the ability to troubleshoot both ML models and data systems. A collaborative mindset and ability to work More ❯

Azure/GCP/AWS). Skills we'd also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in an MLOps environment. Familiarity with simulation techniques. Familiarity with optimisation techniques. What you'll receive from us: No matter where you may be in your career or personal life, our benefits are More ❯

Azure/GCP/AWS). Skills we'd also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in an MLOps environment. Familiarity with simulation techniques. Familiarity with optimisation techniques. What you'll receive from us: No matter where you may be in your career or personal life, our benefits are More ❯