526 to 550 of 604 MLOps Jobs in England

deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. About the Candidate Essential Experience Extensive experience in Python and proficiency … other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience ...

LEGO Group seeks a Senior MLOps Engineer for a 16-month parental cover to bring ML models into dependable production environments. You will connect data science, data engineering and software engineering to deliver reliable solutions that scale while preserving stability. The role focuses on deployment, monitoring and risk management across ...

JPMorgan Chase in London seeks a Lead MLOps Platform Engineer to design a scalable ML platform for training, deployment and monitoring. You will work with data scientists and engineers, driving product-enabled fintech solutions across squads and mentoring teammates on best practices. You will leverage cloud, CI/ ...

About Unifeye Unifeye is a delivery-led, Databricks-first consultancy helping organisations unlock the full value of their data and AI. We're a lean, high-growth team based in London, working at the intersection ...

An AI Solution Architect is responsible for designing and overseeing the implementation of technical solutions, specifically those involving how we build and operate with AI. The role exists within our Corporate function to enforce keeping ...

Senior Solutions Architect, Data & AI, AGS UKI Data & AI Solutions Architecture Job ID: 10581665 | AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is seeking an experienced Senior Solutions Architect to join our Data & AI ...

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering ...

Senior Data Scientist £75,000 + benefits | Holborn, London | Office-based Monday-Thursday Build AI-powered products that turn customer data into commercial impact. Join an established analytics and technology business developing cutting-edge SaaS ...

LEGO Group is seeking a Senior MLOps Engineer for a 16‐month parental cover in London. You will drive production deployment, monitoring, and reliability of customer-focused ML solutions, working with data science, data engineering and software engineering teams. You’ll help evolve our ML operations framework, align deployment decisions ...

EPAM Systems, Inc. in London is seeking an MLOps Engineer to build, deploy and maintain production-ready ML solutions with strong CI/CD and cloud infrastructure focus. You will work on ML lifecycle tooling, model serving, monitoring and extend capabilities toward LLMOps, RAG and agentic AI workflows. You will ...

Checkatrade is hiring an MLOps Engineer to own how ML/AI run in production. You will turn data scientists' models into live, reliable services and build secure foundations for AI workloads. Reporting to Head of Data Engineering, London (hybrid) or Barcelona (on-site). You will deploy, monitor ...

About the Job you are considering:We are seeking experienced Cloud MLOps Engineer Databricks Specialist with strong expertise in Banking domain who will overseeing the planning, execution, and successful delivery of projectsHybrid working:The places that you work from day to day will vary according to your role, your needs … sites, and your home; noting that you will be unable to work at home 100% of the time.Your Role:Purpose Implement ML workloads and MLOps capabilities on the Global AI PlatformConfigure and optimise Databricksbased ML development and deployment frameworksImplement model training deployment monitoring and governance capabilitiesAdapt or develop frameworks required ...

Halfords is seeking a Machine Learning Engineer to turn models into production-grade services powering customer and operational experiences. You will bridge software engineering, MLOps, and data science to build scalable pipelines and APIs deployed at enterprise scale. You will work with Data Scientists to move experiments into robust solutions ...

Machine Learning Engineer to turn ML models into production-grade solutions across the business. You’ll work at the intersection of software engineering, MLOps and data science, building frameworks, pipelines and services for deployment, monitoring and scaling of models from experimentation to live environments. You’ll partner with data scientists ...

build and deploy production-grade ML solutions, spanning the full ML lifecycle from experimentation to deployment and monitoring. The role focuses on Generative AI, MLOps, and scalable production systems, with emphasis on performance optimisation and close collaboration with software engineering and AI teams. #J-18808-Ljbffr ...

solutions. You will work with data scientists and engineers across the full lifecycle from data prep to production monitoring. The role emphasises scalable MLOps, governance, and collaboration with clients to deliver measurable outcomes. The position offers a hybrid working model with opportunities for professional development and participation in cutting-edge ...

knowledge-graph retrieval, partnering with product, data science, and Responsible AI teams to deliver scalable, governed systems using cloud platforms and industry-standard MLOps tools. #J-18808-Ljbffr ...

MLOps Engineer (Platform/DevOps) - AI Platform - 3 days per week onsite We're partnering with a leading organisation on a high-profile AI initiative, seeking an experienced MLOps/Platform Engineer to build and scale infrastructure supporting advanced AI solutions. The Role You'll play a key role ...

Capgemini is seeking an experienced Cloud MLOps Engineer Databricks Specialist to lead ML workloads and MLOps on the Global AI Platform. You will configure Databricks-based development and deployment frameworks, implement model training, deployment monitoring and governance, and build CI/CD pipelines for ML lifecycle management. You will drive ...

role in designing, building, testing and evolving scalable analytics hosting platforms, while also providing hands-on engineering support to Data Scientists and MLOps teams. The role offers plenty of variety, with the opportunity to work across a broad range of technologies and tackle complex technical challenges. You'll need … across existing analytics services. Deliver bug fixes and feature enhancements for mission-facing analytics platforms. Provide hands-on engineering support to Data Scientists and MLOps teams. Work across a varied technology landscape, adapting to unfamiliar technologies where required. Contribute to the design and implementation of reliable, scalable and secure technical ...

reliable production use. Working as part of our Enterprise AI team, you'll sit at the intersection of DevOps, cloud engineering, AI and MLOps , helping us create the technical foundations that allow AI solutions to be deployed effectively across the organisation. This is a great opportunity for someone with … capabilities across cloud and hybrid environments, giving you the opportunity to work with a broad range of technologies while developing expertise in AI platforms, MLOps and responsible AI delivery . What you will be doing Configuring and maintaining secure, scalable environments and services for AI workloads. Building repeatable deployment processes ...

workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack. You also mentor junior engineers, contribute … driven role where you apply and deepen your expertise across modern tools and platforms — including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring — while making meaningful contributions to infrastructure that enables AI-driven business outcomes. THE WORK Write, review, and debug code, scripts, and infrastructure ...

implementation and delivery. Provide technical governance and oversight across multiple AI initiatives. Define approaches for prompting, RAG, fine-tuning, evaluation, and AI guardrails. Establish MLOps and LLMOps capabilities to ensure solutions are scalable, observable, secure, and production-ready. Create architectural standards, reusable frameworks, and best practices across the AI practice. … Large Language Models, agent frameworks, orchestration patterns, and API-driven architectures. Strong cloud platform and modern software engineering experience. Hands-on expertise in MLOps/LLMOps, including deployment automation, monitoring, evaluation, and optimisation. Strong Python development skills and the ability to prototype and validate technical approaches. Experience balancing multiple projects ...

supporting AI/ML workloads. You'll apply deep technical expertise across infrastructure automation, environment provisioning and deployment pipelines , working closely with Data Engineers, MLOps Engineers and Solution Architects to ensure the platform meets performance, scalability, cost and compliance requirements. There is flexibility on base location across … Vault and Azure AD Supporting connectivity between on-prem services and Azure cloud infrastructure (hybrid networking/private connectivity, including GreenLink) Working with MLOps and Data Engineers to ensure environments are reproducible, reliable and auditable across multiple environments Supporting observability and platform health: logging and metrics monitoring using tooling such ...

data science projects from discovery through to production deployment. Analyse and prepare large datasets from operational, asset, weather and market sources. Build and maintain MLOps pipelines to support reliable and scalable model deployment. Create dashboards, visualisations and applications that communicate insights to stakeholders. Work closely with engineers, operators and business … Strong Python programming skills, including experience with libraries such as pandas and scikit-learn. Experience designing, deploying and maintaining machine learning solutions using modern MLOps practices. Experience extracting, manipulating and analysing data using SQL. Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Degree ...