251 to 275 of 299 MLOps Jobs in England

Machine Learning Engineer (Python AWS MLOps) London/WFH to £60k Are you a Machine Learning technologist with strong Python and AWS skills? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services ...

world. This is a role for someone who shows up with substance, who can hold a real conversation about model training and MLOps tooling in the morning and cluster networking in the afternoon, and who finds the space between infrastructure and application more interesting than either on its own. About … Account Solution Architect covering Northern EMEA, you’ll move across the full stack depending on what the customer needs, from ML training workflows and MLOps platforms like Weights & BIAS to bare metal GPU infrastructure and physical AI deployments. This isn’t a role built around a single layer ...

operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real … guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams ...

CreateFuture is seeking a Lead MLOps Developer to own the design and delivery of a production-grade ML platform on AWS. You will migrate a 12-model production suite to SageMaker, define governance gates, and build CI/CD pipelines for model promotion. You will lead the creation of reusable … MLOps patterns, write runbooks for data science teams, and communicate risk and parity trade-offs to stakeholders. Hybrid/remote options available in the UK. #J-18808-Ljbffr ...

enterprise sales cycles and co‐own the technical win Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path Architect, build, and deliver highly‐technical, customised product … delivery in a complex enterprise sales environment Proven track record of earning trust with highly technical audiences (ML engineers, MLOps, data engineers) while communicating value clearly to senior business stakeholders Experience navigating enterprise security, compliance, and architecture reviews as part of a technical sales or implementation process Prior experience ...

scale production-grade models and AI systems across the Economic Crime Hub. You will own the end-to-end lifecycle, establish standards for MLOps, and collaborate with Analytics, Product, and Technology teams to deliver automated decisioning. The role requires leadership of a multi-disciplinary DS/ML/MLops team ...

At Gigaton, we’re on a mission to cut gigatonnes of carbon emissions from the world’s biggest emitting industries (like cement, steel and glass), by building autonomous AI control and optimisation systems that learn ...

Trainline in London is seeking an experienced MLOps Engineering Manager to build and lead a new team of engineers. You will shape deployment, observability, and scalable machine learning systems across the platform. You will collaborate with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders to deliver ...

GenAI capabilities across our business, delivering secure and reliable AI solutions for animals and customers. The role requires deep expertise in NLP, LLMs, and MLOps, plus modern cloud architectures. Hybrid work is available with three days per week in the Hook office, UK. #J-18808-Ljbffr ...

enterprise customers in architecting production‐grade ML and AI applications on the company Data Intelligence Platform. You will also advance expertise in GenAI, ML, MLOps, and LLMOps. #J-18808-Ljbffr ...

high-performance team with a clear pipeline of talent and technical growth. Scaling & Reliability: Implementation, in collaboration with the Engineering team, of robust build, MLOps and architectural standards that enable rapid experimentation, build and deployment cycles and that ensure model reliability, observability, and reusability Trusted Adviser Status: The extent … accountable for their technical growth and for maintaining a "T-shaped" culture that combines both broad and deep technical/business expertise. Technical Standards & MLOps: Own the technical architecture and MLOps lifecycle for data science. In collaboration with the Data Engineering and AI Platform teams, you will drive excellence ...

solutions into production environments to deliver reliable, high-performing outcomes that support business objectives at scale. Establish and enforce standards for model development, MLOps, monitoring, and lifecycle management. Partner with Analytics, Product, and Technology teams to translate decision strategies into automated, production-grade solutions with technical feasibility, scalability, and integrity. … Build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. Act as the single-threaded owner for the automation of decision-making, translating analytical logic and decision strategies into production-grade ...

deliver reliable, high-performing outcomes that support business objectives at scale. You’ll also establish and enforce standards for model development, Machine Learning Operations (MLOps), monitoring, and lifecycle management, while partnering closely with Analytics, Product, and Technology teams to translate decision strategies and decision intent into automated, production-grade solutions … ensuring technical feasibility, scalability, and integrity. Moreover, you’ll build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. In addition, you’ll be: Acting as the single-threaded owner ...

deliver reliable, high-performing outcomes that support business objectives at scale. You’ll also establish and enforce standards for model development, Machine Learning Operations (MLOps), monitoring, and lifecycle management, while partnering closely with Analytics, Product, and Technology teams to translate decision strategies and decision intent into automated, production-grade solutions … ensuring technical feasibility, scalability, and integrity. Moreover, you’ll build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. In addition, you’ll be: Acting as the single-threaded owner ...

deliver reliable, high-performing outcomes that support business objectives at scale. You’ll also establish and enforce standards for model development, Machine Learning Operations (MLOps), monitoring, and lifecycle management, while partnering closely with Analytics, Product, and Technology teams to translate decision strategies and decision intent into automated, production-grade solutions … ensuring technical feasibility, scalability, and integrity. Moreover, you’ll build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. In addition, you’ll be: Acting as the single-threaded owner ...

Senior Machine Learning Engineer (Python AWS MLOps) Remote UK to £105k Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team … other perks including Perkbox, cycle to work, season ticket loan Apply now to find out more about this Senior Machine Learning Engineer (Python AWS MLOps) opportunity. ...

making the function known Team Building Scale the team in line with what the roadmap demands – hiring across ML engineering, data science, and MLOps Develop the existing team, create career paths, and set technical and cultural standards What the First Year Looks Like 3 months: DS roadmap defined cross‐functionally … external presence. 12 months: DS is a recognised, embedded function with a track record of delivery. Experimentation is a working discipline used beyond DS. MLOps maturity has stepped up. The team has grown in line with what was needed to get here. What You Bring Must‐Haves 4‐5 years ...

accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. Build data warehouse solutions and BI dashboards that … been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ...

Fosse Associates is seeking a Lead MLOps Engineer on a contract basis to lead the design and expansion of enterprise ML platform capabilities in a UK heritage brand. Hybrid London-based role, 3 days a week near Holborn with potential flexibility. £850-£900 per day Inside IR35. Immediate start … based applicants only. You will mentor data science teams, implement scalable MLOps pipelines, and ensure production ML workloads run reliably at scale. #J-18808-Ljbffr ...

NLP PEOPLE is seeking an Applied AI/ML Lead – Vice President – Machine Learning Engineer to advance AI in financial services. Located in Greater London, the role combines technical leadership with responsibilities in building scalable ...

Job Title: DevOps Engineer Location: Durrington, hybrid Contract Type: Permanent Hours: 37 per week Salary: from £50k About the role We're looking for a forward-thinking DevOps Engineer to play a key role in ...

seeks a Head of AI Engineering to lead the design, deployment and governance of enterprise AI capabilities, including ML platforms, generative AI and MLOps tooling. You will establish AI engineering standards, guardrails and best practices across the model lifecycle, ensuring scalable, secure and compliant solutions delivering measurable business value. ...

Lumai Limited is building a breakthrough AI accelerator for data centers using 3D optical compute. We seek a senior MLOps Engineer to own end-to-end ML pipelines, tooling, and production deployments for models from research to silicon-validated production. In this high-ownership role, you’ll collaborate with ...

will design, develop, and deploy AI solutions across secure environments, building end-to-end ML pipelines, RAG components, and scalable data processing. Responsibilities include MLOps, architecture decisions, and collaborating with cross-functional teams to deliver production-ready AI systems with strong emphasis on security and compliance. #J-18808-Ljbffr ...

This hybrid role involves leading the design of ML platforms and infrastructure, ensuring effective deployment and monitoring of models. The ideal candidate has extensive MLOps experience, strong software engineering skills, and familiarity with cloud platforms such as GCP. Join a diverse team at iProov, working at the intersection of technology ...