451 to 475 of 547 MLOps Jobs in England

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 ...

place where everyone can grow, develop and fulfil your potential with meaningful careers. The Role: We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable … defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross ...

place where everyone can grow, develop and fulfil your potential with meaningful careers. The Role: We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable … defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross ...

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 ...

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 ...

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 ...

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 ...

modern architectures: Medallion Lambda Kappa Experience building or contributing to cloud-based data platforms AWS preferred Familiarity with: S3 Glue Athena Data Science & MLOps Exposure to: data analysis MLOps feature engineering Curiosity and willingness to go deeper in these areas Why you’ll love it here We want to make ...

engineers training foundation policies on diverse real-world and synthetic data. You will design large-scale distributed training, establish evaluation suites, and collaborate with MLOps and Data Platform teams to ensure smooth transfer to post-training and real-robot inference. #J-18808-Ljbffr ...

needs more excellent minds to challenge the status-quo and help it reach new horizons. Where you come in? We're looking for an MLOps Engineer to join our Algorithmic Engineering team. In this role, you’ll help us build and scale our MLOps system, enabling our underwriting algorithm … grow and scale. You’ll collaborate with colleagues across the business to solve complex technical challenges, such as generalising our MLOps system to manage actuarial and rules-based models. You’ll have the autonomy to propose, design, and execute innovative initiatives, delivering high-impact features as part of our forward ...

Role Summary We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that … architecture for the matching platform, including data pipelines, model training workflows, inference runtimes, and telemetry ecosystems. Lead adoption of best‐in‐class MLOps patterns, platform tooling, and AWS SageMaker capabilities across training, processing, registry, monitoring, and deployment. Partner with platform, security, and data engineering teams to implement scalable data lakehouse ...

pipelines and Azure-deployed services for PE and professional services clients. Suits an experienced AI or software engineer with advanced Python, agentic frameworks and MLOps skills. Europe (Remote), Europe (Remote), United Kingdom Contract Location: Brighton (Hybrid)/Europe (Remote) Position: Full-Time, Permanent Join our engineering team building applied … pipelines and Azure-deployed services for PE and professional services clients. Suits an experienced AI or software engineer with advanced Python, agentic frameworks and MLOps skills. Brighton, Sussex, United Kingdom Full Time Position: Full-time, permanent, remote-first (UK preferred, with easy access to London; open to Northwestern Europe ...

Shape the architecture, culture and technical direction of the company from day one. What we're looking for: You'll likely come from an MLOps, AI infrastructure, platform engineering or HPC background, but titles matter less than experience. We're particularly interested in people with experience in: Large-scale distributed … Kubernetes, Slurm or GPU orchestration platforms. AWS and specialist GPU cloud providers. High-performance computing and distributed systems. Training optimisation, memory management and networking. MLOps tooling, CI/CD and experimentation frameworks. Python and production-grade software engineering. Computer vision, multimodal AI or transformer architectures. Bonus points ...

Deep technical proficiency in modern data platforms (Databricks, Snowflake) and toolsets (dbt, Airflow, Kafka). Advanced Architecture & AI: Mastery of Lakehouse, Data Mesh, Streaming, MLOps, and GenAI integration to drive continuous innovation. Governance & Compliance: Expertise in zero-trust security, lineage, privacy (GDPR, CCPA), and financial regulations (BCBS 239, DORA, Basel … . DataOps & MLOps Execution: Track record of establishing automated CI/CD pipelines and agile practices that accelerate time-to-value. Executive Advisory: Strong C-suite presence (CDO, CIO, CTO) aligning technical architecture with high-level business strategy. Value Realization: Proven ability to convert technical and AI capabilities into measurable ...

APIs using prompt engineering and RAGFine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latencyBuild scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deploymentsGuide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoptionWhat … experience deploying LLMs and multi-modal models at scaleStrong engineering background in Python with proven backend and API development skillsSolid understanding of scalable MLOps, observability, and cloud-native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience ...

reliably in production — not just in a demo. You will work closely with the Data Science team who supply clean, structured data, and with MLOps who handle deployment and infrastructure. You will also engage directly with business stakeholders to understand problems before proposing AI solutions. Security clearance or willingness … inputs, outputs, and limitations Interpersonal & Professional Skills• Translating AI capabilities into clear business outcomes for non-technical stakeholders Cross-functional collaboration with data scientists, MLOps, and product teams Ability to push back on AI for its own sake and advocate for the right solution Championing best practices and supporting ...

Platform Strategy & Architecture: Assess, define and evolve enterprise AI platform architectures, covering LLM and agentic frameworks, AI gateways, model lifecycle management, data platforms, MLOps/LLMOps foundations and integration patterns. Support clients in evaluating build, buy and hybrid approaches aligned to business needs, risk appetite and operational requirements.• AI Platform … operating cloud-native, platform engineering, AI platform or reliability engineering solutions within complex enterprise environments.• Strong understanding of AI platform architectures including LLMOps, MLOps, agentic AI frameworks, model lifecycle management and AI operational controls.• Experience establishing and scaling SRE practices including observability, SLIs, SLOs, error budgets, incident management and reliability ...

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Is this the next step in ...