226 to 250 of 581 MLOps Jobs in London

assistants.* Familiarity with scientific, biomedical, or scholarly datasets and workflows.* Experience with knowledge graphs, ontologies, or semantic enrichment systems.* Exposure to production ML systems, MLOps, and AI governance practices.* Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI.* Experience building AI systems in high-trust ...

Trips vertical. Talent Multiplier: Mentor and coach senior and mid‐level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics ...

within the Trips vertical.Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality.Skills & Experience:Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics ...

Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics ...

AXA Group is seeking a Lead Data Scientist to drive high-impact data science initiatives across the business. You will lead projects from conception to deployment, build scalable ML models, and mentor a squad of ...

Just Eat Takeaway.com is looking for a Senior Engineer to join their Enterprise AI team in Greater London. The role involves designing and deploying AI-powered solutions, leading projects, and mentoring team members on best ...

operationalization, utilizing cloud-native services (e.g., serverless, containerization, managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management.Business Partnership & Solution Architecture: Collaborate … existing systems and workflows within the Goldman Sachs ecosystem. Apply strong software engineering principles, data modeling best practices (e.g., relational, NoSQL, graph), DevOps/MLOps best practices, and cloud security standards. Drive automation of deployment, testing, and monitoring processes to ensure rapid and reliable delivery of AI applications.Knowledge Transfer & Enablement ...

Senior MLOps EngineerSalary: 70,000 to 100,000, depending on experienceLocation: West LondonWorking arrangement: Predominantly office and customer-site based, with some remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Senior MLOps Engineer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions … five years, and all four are still with the business. This speaks volumes about the company’s culture, technical challenges and long-term opportunities.Senior MLOps Engineer roleThe Senior MLOps Engineer will develop and improve the infrastructure that takes advanced AI and computer vision models from research through to reliable production ...

scale representation learning techniques. Experience working with distributed computing environments, large datasets, and scalable training or inference systems. Knowledge of cloud platforms and modern MLOps practices. Excellent communication skills with the ability to work effectively across technical and non-technical teams. Pragmatic approach to balancing engineering excellence with business outcomes. ...

with practical, shippable outcomes. Creative, experimental, and excited to try new approaches. Nice to have Computer vision experience (in-store analytics, product imagery). MLOps tooling and cloud deployment. To apply Send your CV and anything that shows your work (portfolio, GitHub, projects) to hr@morgansholding.com. #J-18808-Ljbffr ...

large language models and AI-assisted engineering. Excellent communication, facilitation and stakeholder-management skills. Desirable Platform engineering, Kubernetes or internal developer platforms. AI platforms, MLOps, prompt engineering or agentic workflows. AI governance and responsible AI adoption. Public-sector digital delivery or technology modernisation experience. Please apply today to be considered ...

enterprise cloud migrations and multi-region deployments. Exposure to SRE concepts. Experience with GitHub Actions, Jenkins, GitLab CI/CD or Bamboo. Knowledge of MLOps, Databricks, Snowflake, Kafka/Event Streaming, Ansible or Chef. Knowledge of FinOps and Azure cost optimisation. Experience working within BFSI environments with security and compliance ...

apply AI techniques to power systems analysis, curtailment modelling, constraint analysis and renewable energy optimisation.Prototype and deploy AI solutions using cloud technologies and modern MLOps practices where appropriate.Produce clear visualisations and technical insights for planning applications, investment decisions and stakeholder reporting.Continuously evaluate emerging AI technologies and identify opportunities to improve ...

SQLDelta Live Tables (DLT)Unity Catalog implementation and governanceDatabricks WorkflowsDatabricks Asset Bundles (DABs)Databricks Solution AcceleratorsMetadata-Driven Ingestion and Orchestration FrameworksMLflow, Feature Store and MLOps FrameworksAzure Data Platform (ADLS, Azure Data Factory, Synapse, Databricks)Azure DevOps, CI/CD and Infrastructure as CodeEnterprise Data Governance, Data Quality and Data Lineage ...

techniques to power systems analysis, curtailment modelling, constraint analysis and renewable energy optimisation. Prototype and deploy AI solutions using cloud technologies and modern MLOps practices where appropriate. Produce clear visualisations and technical insights for planning applications, investment decisions and stakeholder reporting. Continuously evaluate emerging AI technologies and identify opportunities ...

loops, and technologies such as Gemini, Claude and OpenAI APIs. Hands‐on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar). Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring. ...

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 ...

observability.Partner with Product, Architecture, and ML Research teams to prioritise and scope work.Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation.Set and enforce DevOps and SecOps standards across the team's services and pipelines.Coordinate cross-team dependencies and contribute to roadmap planning.Requirements7+ years in backend ...

Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation. Set and enforce DevOps and SecOps standards across the team's services and pipelines. Coordinate cross-team dependencies and contribute to roadmap planning. ...

agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams and manage complex AI projects. Advanced proficiency in Python , MLOps, and software engineering principles. Experience setting technical standards, governance frameworks , and performance benchmarks. Strong consulting mindset with the ability to translate emerging technology into business ...

related technical discipline. Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting. Hands-on experience with modern AI technologies including LLMs, Prompt Engineering, RAG, AI Agents, MCP, model fine-tuning, inference ...

enterprise technologies, with the ability to rapidly learn, evaluate, and adopt emerging tools and platforms.Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.Demonstrated ability to leverage AI-assisted development and intelligent engineering tools to accelerate delivery while maintaining high quality ...

Service and AI platform solutions in hybrid or managed service environments, including familiarity with agentic AI systems, multi-agent orchestration, and AI lifecycle frameworks (MLOps, LLMOps, DataOps). Proven presales experience with strong communication and stakeholder engagement skills , able to articulate complex technical solutions, integrate cloud-native AI services ...

cybersecurity guidance) and rigorous documentation management for regulatory submission. Nice to Have Experience testing real-time Linux or RTOS-based products. Background in MLOps, including validation of model drift, dataset governance, and automated performance evaluation. Expertise in managing complex build environments (e.g., CMake, Bazel) or cloud-native infrastructure-as-code ...

with responsible AI practices — explainability, bias review, model auditabilityDesirableExperience with insurance platforms (Duck Creek, Guidewire, Acturis)Experience with pricing or actuarial model deploymentFamiliarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) — awareness required, not hands-on ownershipExperience with ML lifecycle tooling — MLflow, Azure ML, or equivalentPython proficiency ...