551 to 575 of 639 MLOps Jobs in the UK

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 ...

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 ...

About usAt Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through ...

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. Description The Role We are seeking ...

Machine Learning Engineer (LLM & Agent Evaluation) Mid to senior ML Engineering role at a fast-scaling, AI-first software business Build scalable evaluation infrastructure and multi-agent architectures at the core of the product Belfast ...

solutions in AWS Build highly available SageMaker endpoints with monitoring and alerting Develop Terraform modules for repeatable infrastructure deployments Implement CI/CD and MLOps best practices Produce architecture documentation, configuration guides and operational runbooks Deliver knowledge transfer sessions and support engineering handover We're looking for someone with: Generative …/Agentic AI experience (essential) AWS, ideally SageMaker MLOps and production ML deployments Terraform and Infrastructure as Code CI/CD and DevOps practices Monitoring, alerting and operational support Location:Remote (UK based candidates only) Contract length - 4 months Daily rate - £500 (inside IR35) Start Date: 24/08/ ...

LexisNexis GTO seeks an Machine Learning Engineering Lead to drive production ML/AI capabilities for legal research and analytics. You will guide architecture, MLOps, and responsible AI, while writing and reviewing complex AI/ML components. The role focuses on scalable, governed AI-enabled workflows and cross‐functional collaboration. ...

machine learning projects on large event‐based datasets, ensuring models move from research to reliable production. Additionally, you will act as technical bridge to MLOps, embedding best‐practice deployment techniques and shaping the company‐wide AI and GenAI strategy. #J-18808-Ljbffr ...

into product strategy and execution. Excellent written and verbal communication skills in English. Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval‐Augmented ...

capabilities and scale machine learning across the business. The organisation currently has multiple machine learning models operating in production, but recognises that it’s MLOps capability and supporting foundations are still relatively immature. This role has been created to provide the seniority, technical leadership and real-world experience required … establish best practice, improve operational maturity and ensure machine learning can be delivered reliably at enterprise scale. Key Responsibilities Lead the maturation of the MLOps function and build the capability Establish robust MLOps foundations, frameworks and engineering standards. Improve model monitoring, governance, reliability and scalability. Develop processes to manage model ...

Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome candidates with strong experience in either market data engineering or MLOps, provided they have the skills to build ...

Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome candidates with strong experience in either market data engineering or MLOps, provided they have the skills to build ...

multiple engineering teams Designing production-grade RAG architectures Establishing LangGraph and LangChain implementation patterns Designing scalable vector database retrieval strategies Leading best practice across MLOps, CI/CD and model deployment Improving AI testing, evaluation and observability Implementing guardrails and hallucination mitigation Influencing senior engineering stakeholders without direct line management … Requirements Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn Contract £750-900 per day (inclusive) Initial 6 months with long-term programme roadmap Inside IR35 London (3 days per week) #J ...

Ireland. Reporting to the UKI Transformation Director, this role combines strategic leadership with deep hands-on expertise in AI architecture, data engineering, MLOps, and multi-cloud infrastructure. The successful candidate will drive measurable business impact through the delivery of scalable AI solutions that support AI product innovation, AI transformation, operational … business capabilities. Technology LeadershipArchitect and oversee end-to-end AI and data platforms spanning: Generative & Agentic AI solutionsMachine learning pipelinesCloud data warehousingAdvanced analytics platformsEnterprise MLOps frameworksInfluence multi-cloud architecture initiatives across platforms such as: Google Cloud Platform (GCP)Amazon Web Services (AWS)Open-source AI ecosystemsEstablish scalable and flexible technical ...

that provide valuable insights and benefits for the business. Create data science solutions, making sure models are developed, deployed, and monitored effectively using strong MLOps practices. Find opportunities and problems where data science can make a real difference. Stay informed about the latest trends and advancements in AI, data science … data science techniques and machine learning models, with hands-on experience in developing and deploying ML solutions in a business setting. Practical knowledge of MLOps practices to facilitate seamless model development, deployment, and ongoing monitoring. Working knowledge of Agentic and Generative AI and their usage within regulated environments, such ...