526 to 550 of 639 MLOps Jobs in the UK

solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient … Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including ...

lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable … Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including ...

lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable … Develop and implement machine learning algorithms, models, and computational systems design and build scalable data pipelines to support model training and production with DevOps & MLOps Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including ...

infrastructure that makes world-class AI possible. Working closely with the Applied AI team, you'll be building and maintaining the data science, MLOps, and deployment tooling that empowers our team of over 100 Data Scientists and Engineers. You will take ownership of the platform that enables us to transition … solutions are high-performing, scalable, and seamlessly integrated into diverse client environments. What you'll be doing: Taking ownership of our existing deployment and MLOps tooling to ensure our software delivery remains a significant lever for quality and reliability. Contributing to the continuous evolution of our technology stack, from building ...

/CDStrong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholdersFamiliarity with Machine Learning Operations (MLOps)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated … containerized application developmentFamiliarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and BedrockPractical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps)Experience working on AIML systems and/or prior experience collaborating with data scientistsJ.P. Morgan is a global leader ...

automate regulatory evidence generation to reduce time to submission Own cloud-side data pipelines and infrastructure-as-code, supporting data ingest, analysis, and MLOps workflows where required Coordinate cybersecurity workstreams, working closely with IT and QARA teams Partner with the Software Engineering Manager on release processes, branching strategy, and automated … cloud provider (AWS, GCP, or Azure) Nice to have: Experience with hardware-in-the-loop or software-in-the-loop test environments Exposure to MLOps, including model drift validation, dataset governance, and automated performance evaluation and deployment of organisational AI strategy Experience with cybersecurity requirements (e.g. ...

solutions. Acting as a key technical leader and cross-functional integrator, the Senior AI Platform Engineer partners with research, product, infrastructure, data engineering, and MLOps teams to design and operate the platforms required to train, evaluate, deploy, and govern large-scale AI systems across IQVIA products and healthcare use cases. … driving technology selection, migration strategies, performance optimisation, and integration with AI workflows. Serve as the primary technical coordination point across AI Research, Data Engineering, MLOps, Product, and Infrastructure teams, resolving dependencies and prioritising activities critical to delivery. Provide technical leadership for vendor selection, procurement, and technology partnerships, advising on compute ...

production environment — not just notebooks. You've owned models after they ship and know how to keep them healthy. Full-Lifecycle Delivery (MLOps): Comfortable delivering the end-to-end production lifecycle — model training, versioning, monitoring, and champion/challenger experimentation — without relying on a dedicated ML engineering team to carry … model is degrading and what to do about it.[Bonus] Experience with VertexAITOOLS & TECHNOLOGIES Languages: Python, SQLData & Transformation: dbt, Snowflake, BigQueryVisualisation & BI: LookerEngineering & MLOps: Docker, GitHubWorkflow & Orchestration: Vertex AI Pipelines (GCP), KubeflowLLMs & GenAI: Gemini API, Claude APIINTERVIEW PROCESSStep 1: People Team Screening Call (30 min)Step 2: Hiring Manager Call ...

Booksy is seeking a Senior ML/MLOps Engineer to join their Data Science & Applied AI team. The role is fully remote and involves collaborating closely with Data Scientists to transition ML models from prototype to production. Responsibilities include overseeing the ML workflow and ensuring performance within SLAs. Ideal candidates ...

About Columbia Threadneedle InvestmentsWorking at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses. We're intentionally built to help you succeed. Our reach is expansive with a global ...

Role: Head of Data Engineering Location: Manchesterbased office – Hybrid working Package: £90k OTE PHMG is continuing to develop and mature its data capability, focusing on modernising our data platform and enhancing the way we work. ...

This is an exciting opportunity for someone who is passionate about technology, data, and machine learning, and is eager to contribute to a forward-thinking, collaborative environment. The Data Scientist will be responsible for building ...

business insights. You will mentor engineers, collaborate with data scientists, analytics engineers, product managers and developers, and uphold responsible AI practices while advancing our MLOps maturity. The role is based at Chester HQ with hybrid working. #J-18808-Ljbffr ...

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 ...

signal processing to deliver real-time audio quality improvements at scale — deployed across cloud, edge and embedded environments. The role A high-impact MLOps role owning end-to-end ML pipelines — from data through training, evaluation and deployment. You'll work closely with audio ML researchers and DSP engineers … small ML team. What they're looking for Proven experience building and operating production ML systems Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps, CI/CD and model lifecycle management Cloud platforms (AWS, GCP or Azure) and containers/Kubernetes Experience with low-latency or real-time systems; familiarity ...

production-grade Machine Learning solutions , building scalable AI systems that solve complex real-world challenges. Design end-to-end ML architectures , including model development, MLOps pipelines, deployment strategies and continuous optimisation. Collaborate with engineering, data and product teams to deliver robust, production-ready AI solutions using modern ML and software … have taken models from development through to production. Experience with areas such as: Python and modern software engineering practices Machine Learning/Deep Learning MLOps and production ML systems Cloud platforms and scalable infrastructure ML frameworks such as PyTorch, TensorFlow or equivalent LLMs/Generative AI is highly desirable ...

testing and CI/CD Experience with object detection, tracking, segmentation and real-time/edge AI Knowledge of GPU optimisation, Docker, Kubernetes and MLOps Experience with aerial/satellite/ISR imagery and/or Defence environments highly desirable MSc/PhD in AI, Computer Vision …/Tracking/GPU/Edge AI/Real-Time Inference/Python/Git/CI/CD/Docker/Kubernetes/MLOps ...

concurrent projects, mitigating risk before it reaches delivery. Define LLM integration and prompting strategies, including RAG, fine‐tuning, evaluation, and guard‐railing approaches. Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready. Set architectural standards, reusable patterns, and reference implementations that raise the quality … 10+, with a track record of production deployments. Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration. Proven MLOps/LLMOps capability — CI/CD for models, monitoring, evaluation, and cost optimisation. Hands‐on software engineering background (Python and modern tooling) underpinning your architectural ...

processes and automated testing to streamline development and reduce time-to-market while managing terabytes of data daily. Driving AI & ML Initiatives: Champion LLMOps & MLOps Strategy, set the architectural framework for building, training, and deploying AI/ML models with automation and regulatory compliance in mind. Enhance Operational Efficiency … Iceberg, Parquet, and other solutions for large‐scale data processing. AI/ML & Analytics Background: Competent in ML & analytics, with exposure to LLMOps and MLOps practices (pipeline automation, model governance). Comfortable leading the architecture of AI solutions rather than day‐to‐day model development. Governance, Security & Compliance Mindset: Skilled ...

Engineering Glasgow/Remote Consultant Contract As a Senior DevOps/MLOps Engineer at Kodamai, you will own the end-to-end infrastructure strategy, from setting up and maintaining our GCP-based internal environments to advising clients on optimal deployment architectures. You will design, implement, and continuously improve the pipelines … . Ensure high pipeline reliability, fast feedback loops, and clear rollback mechanisms. Champion DevOps best practices across engineering teams - documentation, runbooks, and post-mortems. MLOps Support the operationalization of ML models - model versioning, experiment tracking, and deployment workflows. Work with data science teams to configure MLOps tooling such as Vertex ...

We're Hiring: Data Science Operations & Strategy Consultant Hybrid Working: London 3 days/week in-office Contract: 6 months My client is looking for an experienced Data Science Operations & Strategy Consultant to join our ...

Lead Engineer page is loaded## Lead Engineerlocations: UK - Hooktime type: Full timeposted on: Posted Todayjob requisition id: R0025434**At Elanco (NYSE: ELAN) – it all starts with animals!****As a global leader in animal health, we ...

Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make ...

Thehumanoid is hiring a Senior Dev/MLOps Engineer to join their Data & Compute Platform team in London. This role involves managing the lifecycle of ML models and infrastructure, building CI/CD pipelines, ensuring system reliability and security, and collaborating with cross-functional teams. Candidates should have strong Python ...

from data pipelines to model deployment, collaborating with platform and backend engineers to scale production systems. Applicants should have 5+ years in ML/MLOps, strong Python, Databricks experience, and familiarity with AWS or Azure. #J-18808-Ljbffr ...