51 to 75 of 123 MLOps Jobs in England

Architect secure, scalable GenAI solutions on AWS and GCP Build APIs, services, and pipelines to integrate GenAI into real business workflows Apply LLMOps/MLOps practices : versioning, monitoring, cost control, bias, and drift management Work directly with clients to translate business problems into deployable AI solutions , not slide decks Contribute ...

high-impact use cases in partnership with Wealth, Enablement and Technology teams. Building, mentoring and developing a high-performing Data Science team. Embedding modern MLOps practices including CI/CD, model monitoring, feature stores and version control. Working closely with Data Engineering, Architecture and Operations teams to ensure scalable, secure … PyTorch, TensorFlow). Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases). Strong knowledge of MLOps tooling and practices (MLflow, CI/CD, containerisation, monitoring). Experience leading, mentoring and developing technical teams. If you'd like to learn more, please ...

Role/Job Title: AI & ML Senior Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 ...

work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software ...

Proven experience leading data and/or engineering organisations at scale Strong background in data engineering, with close collaboration with data science and MLOps Strategic mindset with the ability to go deep technically when required Solid understanding of engineering processes, architecture, and modern delivery practices Genuine interest ...

Ability to clearly explain complex AI concepts to technical and non-technical stakeholders Desirable: Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with MLOps, evaluation, and monitoring of AI systems Experience working in product-led or scale-up environments Reasonable Adjustments: Respect and equality are core values to us. ...

Ability to clearly explain complex AI concepts to technical and non-technical stakeholders Desirable: Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with MLOps, evaluation, and monitoring of AI systems Experience working in product-led or scale-up environments Reasonable Adjustments: Respect and equality are core values to us. ...

coaches, analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming ...

prepare high-quality corpora for retrieval grounding. Familiarity with LLM evaluation frameworks, prompt-quality metrics, red-teaming, and hallucination/safety monitoring. Knowledge of MLOps patterns, experiment tracking, feature stores, and observability (logging, tracing, metrics) for LLM apps. ...

including vector embeddings , rerankers , and data indexing in databases like MongoDB. Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions . A strong interest in computer vision and an understanding of object detection models like ...

building distributed systems. Familiarity with data governance, lineage, and observability tools (e.g., Datadog, Prometheus, Open Telemetry). Strong understanding of Machine Learning Operations (MLOps) and how data platforms support the full ML lifecycle. At JET, this is on the menu: Our teams forge connections internally and work with some ...

concept to production Establish AI operating models, best practices, and responsible AI frameworks Build and lead high-performing multidisciplinary teams (Data Science, ML Engineering, MLOps) Identify use cases across functions (customer experience, operations, knowledge management, automation) Ensure scalability, security, and compliance of AI platforms Required Experience Proven leadership delivering Generative … deep learning, model optimisation Evaluation frameworks and guardrails Data & Platforms Vector databases (Pinecone, Weaviate, FAISS, Milvus) Knowledge graphs and semantic search Data engineering pipelines MLOps & Deployment CI/CD for ML, model monitoring, versioning Kubernetes, Docker, serverless architectures MLflow, Kubeflow, SageMaker or similar Cloud & Architecture Azure AI, AWS AI/ ...

Lead the implementation of Generative AI models, LLMs, and agentic frameworks. •Collaborate with stakeholders to define problem statements and solution approaches. •Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. •Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. •Ensure high-quality delivery and adherence … Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data engineering, and software engineering. •Minimum 3 years in MLOps and AI/ML deployment. •Minimum **2 years in Generative AI, LLMs, and agentic frameworks. Preferred •Experience with API Gateway development and deployment on Azure ...

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. Your Profile Essential Skills/Knowledge/ ...

MLOps Engineer | London (3 days on-site) | £80,000–£110,000 + bonus A rapidly scaling cleantech company is looking for a mid-level MLOps Engineer to help productionise a range of ML models. The team operates across the energy market working in a fast, customer-focused environment. You will … monitor production-grade ML systems. Ideal for someone who wants ownership, strong engineering standards and the pace of a scale-up. Requirements 2+ years MLOps experience Strong Python, ML engineering and deployment foundations. Hands-on experience with AWS and SageMaker (essential). MLOps best practice: MLflow, CI/ ...

month initial contract Working with a financial services client who are looking to build a new AI/ML function. Looking for a MLOps Engineer to design, develop and implement AI and ML applications. Will require working cross-functionally to conceptualise, design, test and deploy AI projects. Azure AI/ ...

cloud computing (ideally AWS) Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple is an equal opportunities ...

cloud computing (ideally AWS) Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple is an equal opportunities ...

concepts to technical and non-technical stakeholders. Managing project delivery to ensure outcomes are on time, within budget and to quality standards. Applying MLOps practices to address risk and technical debt. Staying up to date with advancements in AI, agent architectures and emerging best practices. What youll bring Proven experience ...

simulation + tele‐op logs, version them, apply weak‐supervision labelling, curate balanced datasets, and auto‐surface fresh failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems ...

concepts to both technical and non-technical stakeholders. Managing project delivery, ensuring outcomes are on time, within budget and to quality standards. Applying MLOps practices to address risk and technical debt. Staying up to date with advancements in AI, agent architectures, and emerging best practices. What you’ll bring: Expertise ...

communicate solutions that enable data- and AI-driven business outcomes. This role supports the organisation in maximising productivity and innovation through reliable AI platforms, MLOps practices, and cloud-based digital transformation initiatives. What you’ll be doing: As a Digital and AI Support Apprentice, you will be supported to: Adopt ...

Scientist Specialist The Data Scientist Specialist position is a hands-on, delivery-focused role within a multidisciplinary team of data scientists, data engineers, and MLOps specialists. As a Data Scientist Specialist , you will take technical ownership of machine learning and GenAI solutions, contributing to both solution design and practical implementation. … computing environments Lead day-to-day technical delivery on projects, supporting and guiding small teams Act as the go-to expert for machine learning, MLOps, and large language models Contribute to solution architecture, delivery standards, and technical best practice Engage actively in continuous improvement, innovation, and knowledge sharing Support ...

month initial contract Working with a financial services client who are looking to build a new AI/ML function. Looking for a MLOps Engineer to design, develop and implement AI and ML applications click apply for full job details ...

ongoing BAU support and maintenance of data structures, schema, reporting etc. Work with the broader Engineering community to develop the client's data and MLOps capability infrastructure Ensure data quality, governance, and compliance with internal and external standards. Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy. ...