1 to 25 of 26 Permanent MLOps Jobs in the Thames Valley

datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human ...

data‐driven systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/CD and service‐oriented deployment practices. Experience working across ...

cost management Model serving and inference at production scale (eg KServe, RayServe, Triton, vLLM, or similar) with real latency and cost constraints(preferred RayServe) MLOps pipeline tooling - training pipelines, model registries, feature stores, and lineage (Kubeflow, MLflow, Feast, Weights & Biases, or equivalents) LLMOps in production - inference serving, prompt/version ...

technical designs throughout the project lifecycle. Experience with large-scale data initiatives, data labelling strategies, synthetic data generation and data quality management. Familiarity with MLOps practices and cloud platforms for AI deployment. Experience working with academic partners, research institutions, grant-funded programmes or collaborative research consortia. Experience contributing to bids ...

strong written and verbal communication skills. Experience in motorsport, high-performance engineering, automotive, manufacturing or other fast-paced technical environments. Knowledge of AI platforms, MLOps concepts, Microsoft Copilot, generative AI services, data platforms or enterprise AI governance processes. Experience in cloud managed endpoint management. Every lap is a statement, every ...

Snowpark, AWS Bedrock, SageMaker, vector search and semantic search architectures Experience delivering Business Intelligence platforms, self-service analytics solutions and working knowledge of DataOps, MLOps and LLMOps practices Demonstrable experience working in telecommunications and using industry best practice frameworks such as TM Forum, TOGAF, ITIL, BPMN and UML Life ...

CD. Knowledge of DevSecOps, SAST and DAST practices. Automation and scripting skills with Bash, Python or Go. Strong communication and stakeholder management skills. Desirable MLOps or LLMOps experience (SageMaker, Kubeflow, ZenML). Prometheus or other observability tooling. AWS Karpenter and Compute Optimizer experience. Knowledge of ISO 27001, NIST or OWASP ...

CD. Knowledge of DevSecOps, SAST and DAST practices. Automation and scripting skills with Bash, Python or Go. Strong communication and stakeholder management skills. Desirable MLOps or LLMOps experience (SageMaker, Kubeflow, ZenML). Prometheus or other observability tooling. AWS Karpenter and Compute Optimizer experience. Knowledge of ISO 27001, NIST or OWASP ...

infrastructure Desirable attributes Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...

Linux Experience managing artifact repositories and integrating single sign-on Scripting in Bash and Python or Go, and security testing built into pipelines Desirable: MLOps experience, Prometheus-style observability, security frameworks such as ISO 27001, active SC clearance What's On Offer Pension with employer contribution Private healthcare Generous holiday ...

Strong experience across segmentation, propensity, lifetime value, personalisation or forecasting. Experience with large-scale behavioural, transactional or customer datasets. Understanding of production data science, MLOps and model monitoring. Commercial judgement and the ability to simplify complex technical findings. Desirable Experience providing technical leadership, peer review or coaching to other data ...

company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities ...

infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle‐to‐work ...

infrastructure Desirable attributes: Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...

SanTalk solutions, including experimentation, business readiness, testing, deployment, adoption, maintenance and transition into business-as-usual support.* Provide technical direction to Data Scientists, Engineers, MLOps specialists and Product Owners, ensuring solutions are scalable, reliable, secure, maintainable and production-ready.* Own the ongoing performance and continuous improvement of deployed solutions, defining ...

infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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/ ...