76 to 90 of 90 MLOps Jobs in the UK excluding London

develop intelligent systems and tools Collaborating with cross-functional teams to integrate AI into production environments Conducting research, experimentation, and rapid prototyping Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines) Translating business and stakeholder needs into scalable technical solutions Continuously improving AI/ML systems, frameworks, and performance … Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/CD, and version control ...

develop intelligent systems and tools Collaborating with cross-functional teams to integrate AI into production environments Conducting research, experimentation, and rapid prototyping Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines) Translating business and stakeholder needs into scalable technical solutions Continuously improving AI/ML systems, frameworks, and performance … Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/CD, and version control ...

Machine Learning Engineering Manager We're building a new ML Engineering team and are looking for a strong technical lead to help take our machine learning capability from proof-of-concept to fully scaled, production ...

120k – 150k GenAI/Agentic AI – Brighton (Hybrid) – AI-native Scale-up GenAI | Agentic AI | Machine Learning | Python | PyTorch | AI Strategy | LLMs | RAG | MLOps | Leadership |Do you want to lead AI at the core of a truly AI-native business building the next generation of virtual sales assistants A company … balancing tech investment with customer value The credibility to lead technically and influence at exec level Desirable but not essential: Strong AWS, containerisation and MLOps knowledge Confidence engaging directly with customers and enterprise stakeholders Hybrid role - minimum once per week onsite in Brighton.If you want to sit at the heart ...

transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low-latency, highly reliable cloud … strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure-as-code practices. Proven technical leadership experience including ...

C#/.NET services. Performance & Scalability : Optimize GPU/CPU utilization, batching strategies, and memory management. Plan for multi-model and multi-tenant scenarios. MLOps & Lifecycle Management : Implement model versioning, artifact registries, and deployment workflows. Set up monitoring, logging, and alerting for solver performance. Security & Compliance : Apply best practices … performance profiling. Architecture : Proven experience designing scalable ML systems for production. APIs : Proficiency in gRPC/Protobuf and REST for cross-language integration. MLOps : CI/CD pipelines, containerization (Docker/Kubernetes), model registries, reproducibility. Performance Optimization : GPU acceleration (CUDA/cuDNN), mixed precision, XLA, profiling. Observability : Metrics, tracing, structured ...

This job is with Mace, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Mace combines construction expertise with consultancy ...

Implements infrastructure as code using Terraform, including network, security, and compute resources. Supports Airflow as part of platform orchestration. Collaborates closely with Data Engineers, MLOps Engineers, and Solution Architects to ensure the infrastructure and pipelines meet performance, scalability, and compliance requirements. Follows best practices for platform security, auditing, and cost … using Azure Key Vault and Azure AD. Ensure connectivity between on-prem services and Azure cloud infrastructure using GreenLink and hybrid networking. Collaborate with MLOps and Data Engineers to ensure reproducible, reliable, and auditable infrastructure across environments. Monitor system health, logging, and metrics using platform observability tools (e.g. Azure Monitor ...

experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment. Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. Build internal data products to improve the speed and quality … problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms ...

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI-native data system that bring clarity and credibility to nature-based assets … great for FinTech/quant backgrounds)• Climate/weather datasets (CMIP, forecast data)• Geospatial tools: rasterio, xarray, geopandas, GDAL• Remote sensing (optical, radar, LiDAR)• MLOps: CI/CD, containerisation, monitoring• Startup or fast-paced product environmentThe role offers £110k–£130k, a global team environment, and the chance to shape ...

impact Own delivery of multiple strategic projects, managing priorities and stakeholders effectively Work closely with engineering teams to deploy models into production using modern MLOps practices Influence senior stakeholders, clearly communicating insights and driving adoption of AI solutions Contribute to the wider AI strategy, identifying new opportunities and driving innovation … experience Exposure to generative AI, recommendation systems or reinforcement learning Experience working in regulated or customer-centric industries Familiarity with modern data platforms and MLOps tooling What's on offer Competitive base salary with performance-related bonus Strong pension contribution Comprehensive private healthcare and wellbeing benefits Flexible working environment Clear ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Title: Lead MLOps Engineer Location: UK Wide. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role Salary ...

essential. You will manage secrets and access through Azure Key Vault and Azure AD, support hybrid connectivity using GreenLink, and collaborate closely with MLOps and Data Engineering teams to deliver reproducible, auditable infrastructure. The role also includes monitoring system health using tools such as Azure Monitor, Prometheus, and Grafana Core … using Azure Key Vault and Azure AD Ensuring connectivity between on-prem services and Azure cloud infrastructure using GreenLink and hybrid networking Collaborating with MLOps and Data Engineers to ensure reproducible, reliable, and auditable infrastructure across environments Monitoring system health, logging, and metrics using platform observability tools (e.g. Azure Monitor ...

leading data consultancy in Edinburgh is seeking an experienced MLOps Engineer to design, build, and operate ML infrastructures. This role involves managing the lifecycle of ML models and collaborating with dynamic project teams to deliver scalable solutions. The ideal candidate should have experience with tools like MLflow, Python, and cloud ...

company is a leading global software platform company is transforming how modern organizations build, secure, and deliver software across DevOps, DevSecOps, and MLOps environments. Trusted by thousands of enterprises worldwideincluding many of the largest global organizationsthe platform plays a critical role in securing and accelerating software delivery from code … Bitbucket) Security technologies such as SCA, SAST, SBOM management, and container security Background in software development is a strong advantage Experience or exposure to MLOps is a plus ...