26 to 46 of 46 MLOps Jobs in the South East

Intact Insurance, formerly RSA, is seeking a Machine Learning Engineer to build and run production-ready ML systems that deliver real business impact. You will partner with Data Scientists and engineering teams to shape the ...

using Azure diagnostics and monitoring tools, such as Azure Monitor, Application Insights, or similar services Finetune or optimize SQL query used in application and MLOps for better performance. Monitor and troubleshoot application issues, perform root cause analysis, and implement necessary fixes or improvements Key Requirements: Total Experience: 6-8 Years ...

technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience ...

engineering, version control and automated testing Data preparation, feature engineering and data quality techniques Machine learning methods, model selection, training and evaluation Deployment patterns, MLOps, monitoring and lifecycle management Cloud, compute and development tools used to deliver AI solutions Responsible AI, security, privacy, safety and regulatory considerations Structured approaches ...

Advanced Python development skills. Experience building scalable AI services and APIs. Strong backend development and integration experience. Knowledge of software engineering best practices and MLOps workflows. Cloud & Infrastructure Experience with Microsoft Azure (preferred), AWS, or Google Cloud Platform. Containerisation using Docker. Orchestration using Kubernetes and/or Azure Kubernetes Service … Desirable Skills: Generative AI product development. Computer Vision and image understanding systems. AI agent frameworks and autonomous workflows. Knowledge graphs and semantic retrieval systems. MLOps and model deployment pipelines. Team leadership or technical management experience. Why join us? We bring together entrepreneurial, tech-driven people to deliver innovative solutions ...

Senior MLOps Engineer London (Hybrid) | Salary: up to £85,000 This is an opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables … enable successful AI delivery. Contribute to AI governance, best practices, and responsible AI principles across the organisation. Your Skills & Experience Strong commercial experience within MLOps, Platform Engineering, or Infrastructure Engineering supporting machine learning systems. Advanced Python programming skills with a strong software engineering mindset. Hands-on experience with Azure-native ...

CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/AI, strong Python, cloud/MLOps experience, and a collaborative mindset to work with partners and stakeholders across experiments and #J-18808-Ljbffr ...

knowledge/qualifications/experience that suggest you can quickly learn tools and processes which enable the establishment and smooth running of an MLOps and AI delivery organisation in a complex environment Security Clearance Due the nature of the work that we do at Thales, many of our roles ...

Machine Learning and Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps practices, APIs, data pipelines and modern software engineering disciplines are in place. Strategic & Stakeholder Engagement Act as a thought leader, willing to challenge the business … Machine Learning and Azure Data Platform technologies. Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks. Experience with APIs, data pipelines, MLOps practices and modern software engineering disciplines. Experience managing partner-led delivery and a mix of onshore/offshore teams. Microsoft certifications (e.g., Azure AI Engineer ...

driven systems that perform reliably in production and drive conversion. You'll work alongside a multi-skilled group of data scientists, AI engineers and MLOps specialists in cross-functional teams. We deliver against quarterly OKRs, own our work end to end, and put collaboration at the heart … Solid grounding in statistics and ML theory across supervised and unsupervised learning, NLP (entities, intent), recommendation, prediction and uplift modelling Full model lifecycle and MLOps: containerisation (Docker/ECR) and deployment on AWS Working with large text datasets and data pipelines Nice to have: sales psychology applied in data products ...

Senior ML Ops Engineer London (Hybrid, 1-2 days per week) | £75,000 - £85,000 + 10% Bonus This is an opportunity to join a growing AI and data organisation that is using advanced analytics ...

Learning Engineer to translate research into robust, production‐ready ML services within a privacy‐sensitive, multi‐partner environment. You will set ML engineering and MLOps direction for CODAS workstreams and lead how research gets built, tested, and shipped. Oxford hybrid is preferred, though we’d consider fully remote ...

Senior MLOps Engineer London (Hybrid) | £75,000 - £85,000 + Bonus + BenefitsThis is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact. The Company … making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement ...

Software Engineers, and Product teams to deliver scalable solutions Contribute to the development of greenfield machine learning products and capabilities Drive best practices across MLOps, monitoring, observability, and model lifecycle management Your Skills & Experience Strong commercial experience within Machine Learning Engineering, Data Science, or MLOps Experience deploying, monitoring, and maintaining ...

Tasks within this role Qualification requirements Skills Critical thinking AIOps Natural language processing (NLP) Analytical thinking R (programming language) Problem-solving Programming language Python MLOps Predictive analytics Innovative thinking Job ID: 5354 Location: Milton Keynes, GB, MK14 5AN GB Milton Keynes, GB, MK8 8DF Department: IT and Digitalization Working Model ...

currently seeking an MLOps AI Lead & Databricks Platform Specialist to join a global end client, taking ownership of the Databricks platform and supporting the delivery of robust, scalable MLOps capabilities. We are ideally looking for someone on a permanent basis , although contract-to-permanent could also be considered. Location: Hybrid … onsite in London, Covent Garden/Milton Keynes. Experience required: 3 – 5 years’ experience Proven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment. Hands-on experience operating Databricks (workspace administration, cluster policies, jobs, Delta Lake, Unity Catalog, access controls, and production support ...

At Elanco (NYSE: ELAN) – it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and ...

Global is seeking an MLOps AI Lead & Databricks Platform Specialist to own the Databricks Lakehouse Platform and drive robust MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/CD, testing ...

real-time and batch data Training, deploying, and maintaining machine learning models in production environments Working with Databricks, AWS, Python, Kafka, and modern MLOps tooling Leveraging machine learning, LLMs, and multimodal AI techniques across structured and unstructured data sources Collaborating with engineering, product, and business stakeholders to deliver impactful solutions … technical best practices Driving measurable improvements through AI-powered decisioning and automation Your Skills & Experience Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, or in a similar applied ML role Proven experience building and deploying machine learning systems into production Experience designing and maintaining scalable data pipelines ...

turn it into something dependable enough to run in a live, privacy-sensitive, multi-partner environment. You'll set the ML engineering and MLOps direction for your workstreams and act as technical lead on how research gets built, tested, and shipped. What you'll do Lead the ML engineering … MLOps direction for assigned CODAS workstreams. Design, build, test, and maintain the ML services, data pipelines, evaluation tooling, and deployment-ready applications that make up the programme's technical deliverables. Translate research outputs into systems that are actually robust and maintainable, not just proofs of concept. Adapt AI/ ...

Data Scientist Berkshire - Hybrid 2 days office attendance Are you ready to shape the future of predictive analytics in financial services? We are looking for a versatile Data Scientist to help to build and scale ...