251 to 275 of 581 MLOps Jobs in London

build business cases and communicate ROI of AI initiativesUnderstanding of AI transformation, change management, and enterprise implementationDeep understanding of Generative AI, NLP, and MLOps conceptsFamiliarity with Python, SQL, and cloud platforms (AWS, Azure, or GCP) is a plusAnalytical, commercially minded, and a strong communicatorWE OFFERA flexible, hybrid working policy ...

delivers.* You enjoy working collaboratively with Product Owners, Engineers, Analysts and business stakeholders to solve meaningful problems.* Experience with cloud-based Machine Learning platforms, MLOps, LLMs or Agentic AI is advantageous, although we're more interested in your ability to learn quickly and apply new technologies to solve business problems. ...

services experience Awareness of data models in a Medalion ArchitectureExperience building Semantic, Metric or Analytic modelsExperience of building Machine Learning models Any experience in MLOps or operationalising Machine LearningKnowledge of Data Quality Frameworks in PythonQualifications:Industry focused degree or equivalent working experienceAzure certifications are desirableCompetencies:Developing OthersWorking Proactively Creativity ...

reliable, repeatable, and scalable releases of AI systems, models, and data pipelines into production. Establish AI monitoring and observability strategy across InfraOps and MLOps, defining SLAs, SLOs, alerting, and performance/cost tracking, and driving continuous optimization. Integrate AI/ML systems into enterprise environments, ensuring interoperability, security, compliance ...

delivers. You enjoy working collaboratively with Product Owners, Engineers, Analysts and business stakeholders to solve meaningful problems. Experience with cloud-based Machine Learning platforms, MLOps, LLMs or Agentic AI is advantageous, although we're more interested in your ability to learn quickly and apply new technologies to solve business problems. ...

value it delivers.You enjoy working collaboratively with Product Owners, Engineers, Analysts and business stakeholders to solve meaningful problems.Experience with cloud-based Machine Learning platforms, MLOps, LLMs or Agentic AI is advantageous, although we're more interested in your ability to learn quickly and apply new technologies to solve business problems.We ...

data (GDPR, HIPAA) and implementing privacy-first techniques like differential privacy or secure data handling.Familiarity with infrastructure-as-code tools like Terraform, Kubernetes, or MLOps platforms such as SageMaker or Vertex AI.Hands-on experience fine-tuning LLMs, prompt engineering, or managing the latency and cost trade-offs of large language ...

Additional language skills* Good understanding of software design principles* Exposure to version control systems such as GitHub* Experience in code and model deployment, including MLOps* Scripting experience (e.g., bash) and ability to write SQL queries#LI-KR2***FTI Consulting is an equal opportunity employer and does not discriminate on the basis ...

Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each ...

communication skills Experience contributing to and overseeing large-scale rollouts and infrastructure initiatives. Expertise in several of the following areas: robust python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance. What ...

implementing cloud-native integration architectures, encompassing microservices, event-driven patterns, API management, and data streaming with Kafka, complemented by the ability to establish robust MLOps pipelines for automated model deployment and monitoring.Participate fully within Deloitte to assist growth of the TMT/Media and Technology Programme Delivery team, develop ...

Permanent Opportunity for a Senior MLOps Engineer in Greater London Must hold active clearance – SC or MoD DV Up to £95k DoE plus bonus 4 days on site in Brentford – future expensed travel to client site in Cambridge Strong experience across MLOps, ML infrastructure and production AI systems … recruiting a Senior AI/ML Engineer with strong MLOps and ML infrastructure experience for a highly technical AI organisation delivering advanced computer vision and machine learning technologies across Defence, Security and other high-performance environments. You’ll work alongside AI researchers, software engineers and technical leadership to take cutting ...

into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware … Evaluation: Implement frameworks and approaches to evaluate model performance against business objectives, both pre-deployment and on an ongoing basis as part of the MLOps lifecycle.Drive System Performance: Assess and optimise for performance, cost-efficiency, and reliability, ensuring AI outputs meet the rigorous standards required for our Security & Justice clients.System ...

governance Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS Sagemaker , MLflow, Azure ML. End-end custom Sagemaker pipelines for recommendation systemsDesign and implement the engineering components of GAR+RAG systems (e.g., query … cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Required Qualifications 5+ years in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala engineering Experience with statistical analysis, machine learning theory ...

scaling ASR, TTS, and LLM pipelines across hybrid cloud and edge environments. You will implement production-grade pipelines, containerize workflows, and contribute to MLOps, AI model serving, and API development. The role requires deep expertise in Python, PyTorch, and modern ML tooling. #J-18808-Ljbffr ...

products at scale Excellent written and verbal communication; comfortable engaging directly with clients Right to work in the UK Required skills Python PyTorch LLMs MLOps Benefits at SREEYAMSOFT Top-of-market pay with annual reviews and performance bonuses. £2,000/year for certifications, conferences and learning. Modern offices across ...

developing Data Science teams Advanced Python and SQL skills Expertise in supervised and unsupervised machine learning techniques Experience deploying models into production environments using MLOps practices Strong communication skills with the ability to influence technical and non-technical stakeholders What They Offer Performance-related bonus Private healthcare and additional benefits ...

complex AI implementations. Strong communication skills and the ability to explain technical concepts clearly. Key Competencies AI and machine learning architecture Data platform architecture MLOps and model lifecycle management System integration and scalability Technical leadership Cross-functional collaboration #J-18808-Ljbffr ...

deepen your knowledge in this areaA solid understanding of software engineering principles, including data pipelines, CI/CD, containerisation and observability, with exposure to MLOps practices and toolingComfortable providing technical guidance, mentoring and support to a small number of less‐experienced engineersEnjoy collaborating across teams and contributing to shared engineering ...

quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics ...

data and AI.Build POVs and architecture options that balance business value, feasibility, and cost.Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design.Thought Leadership, GTM & Vertical ExpertiseRepresent Datatonic on site at client, at events, conferences, partner sessions, and executive dinnersWork with ...

AI.Build POVs and architecture options that balance business value, feasibility, and cost. Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design. Thought Leadership, GTM & Vertical ExpertiseRepresent Datatonic on site at client, at events, conferences, partner sessions, and executive dinnersWork with ...

share knowledge.Experience bringing ML products from ideation through to production.Experience working in fast-paced, product-driven environments.Familiarity with cloud-native ML platforms and MLOps practices.Publications, open-source contributions or evidence of staying current with developments in machine learning and AI.Additional InformationBeneFITS’ Employee discount (hello ASOS discount!) Employee sample sales ...

Computer Science, Engineering, or a related field, or equivalent practical experience.Desirable:Experience with financial services or other regulated industries.Contributions to open-source projects.Experience with MLOps and the deployment of machine learning models.What we’ll provide youThis is a unique role that will put you in the position to be part ...

related field, or equivalent practical experience. Desirable: Experience with financial services or other regulated industries. Contributions to open-source projects. Experience with MLOps and the deployment of machine learning models. What we’ll provide you This is a unique role that will put you in the position to be part ...