326 to 336 of 336 MLOps Jobs in the UK

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI ...

The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with ...

Machine Learning Engineer, key skills: Strong hands-on experience with Snowflake ML Python expertise - Scikit-Learn, TensorFlow, Pytorch etc Strong understanding of model deployment MLOps - experienced in designing and implementing MLOps frameworks and best practices Strong stakeholder management AWS Sagemaker is a nice to have Experience with feature stores, model … registries and ML obserability tooling Machine Learning Engineer, Snowflake ML, Python, MLOps, Sagemaker Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven ...

Role Highlights: Position: Machine Learning Engineer (MLOps Lead) Location: London, UK Contract: 6 months (extendable) Tech Focus: GCP (Vertex AI – essential), Python, APIs, CI/CD, Docker Key Skills Required :Strong MLOps/ML Engineering experience (5+ years )Hands-on experience with GCP (Vertex AI )Excellent Python development skill sExperience ...

capabilities including LLM-powered and generative experiences Setting technical direction across modelling, evaluation and ML lifecycle management Partnering closely with Product, Engineering and MLOps teams Improving scalability, observability and speed-to-production across ML systems Leading and developing a high-performing team of ML specialists and leaders Acting … interest in LLMs, generative AI and AI-powered customer experiences Excellent stakeholder management and communication skills Strong cross-functional collaboration across Product, Engineering and MLOps Why This Role? Opportunity to define the future of ML & AI within a major consumer platform High visibility and influence across Product, Technology and Commercial ...

roadmap and prioritise high-impact initiatives Set technical direction across modelling approaches, feature design and evaluation frameworks Work closely with Engineering and MLOps teams to ensure ML systems are production-ready, scalable and well-supported Act as the central ML authority within PDT, aligning teams around best practices and shared … communication skills with the ability to translate technical concepts into business value Experience working cross-functionally with Product, Engineering and platform teams such as MLOps Track record of influencing senior stakeholders and driving alignment across teams What's in it for you Competitive Pay & Bonuses: Plus, generous pension plans & staff ...

lifecycle of models and AI agents Collaborate with Analytics, Product, and Technology teams Establish and enforce standards for model development and MLOps Build and lead a multi-disciplinary Data Science capability Requirements Extensive experience leading engineering-grade Data Science and AI capabilities Proven track record of designing and deploying … foster high-performing teams Experience within financial crime or fraud environments preferred Deep expertise in model development and lifecycle management Strong knowledge of MLOps, model monitoring, and production systems Experience working within regulated environments Core Competencies Demonstrates extensive experience in leading Data Science and AI capabilities, with a strong focus ...

technical progression of team members. Qualifications Extensive experience designing, building, and deploying production-grade AI and ML solutions, with strong understanding of ML engineering, MLOps, and model lifecycle management. Proven track record of developing AI platforms and deployment capabilities that support secure, reliable, and efficient delivery of AI solutions. Ability … systems. Deep expertise in ML engineering and model lifecycle management, including deployment, monitoring, optimisation, and ongoing performance management. Strong knowledge of MLOps practices, including CI/CD, pipeline orchestration, automation, and production model management. Proven ability to translate analytical models and decision strategies into robust, operational decisioning systems. Experience developing ...

Overview 🚀 Director of Cloud Transformation | London (Hybrid) We're looking for a senior, commercially astute cloud leader to define and champion a market-leading cloud transformation and innovation agenda . This is a high-impact ...

Cloud is seeking a Forward Deployed Engineer to lead the end-to-end delivery of conversational AI pilots at client sites. You will transform rapid prototypes into scalable, secure AI systems, working across software engineering ...

workflows. About Us 10x Team connects freelance professionals with leading AI labs to develop advanced AI models. We are seeking experienced machine learning operations (MLOps) specialists based in the EU or UK to ensure AI-generated workflows, deployment processes, and decision-making are accurate, relevant, and grounded in industry best … various ML operations roles, from engineers to stakeholders Identify gaps or flawed assumptions in AI outputs and provide clear, actionable feedback About You Experienced MLOps engineer or manager with a strong background in deploying, optimizing, and overseeing machine learning systems Based in the EU or UK Demonstrated expertise in implementing ...