176 to 200 of 226 MLOps Jobs in London

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 ...

solutions for model development, training, and deployment. Act as a mentor, coach, and sponsor – You will share your technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering, delivering impact, learning, and growth across teams at Recursion. We believe that the best work comes from working across organizational … deployment, and continuous improvement. Problems you will work on could range from optimizing GPU cluster utilization to implementing Agentic orchestration and establishing company-wide MLOps standards. The Team You’ll Join: You’ll be part of a group of technical leaders who work together on the craft of engineering leadership ...

MLOps Engineer (Platform/DevOps) - AI Platform - FULL TIME 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 in designing ...

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 ...

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 … looking for someone with deep experience in: 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 More important than individual technologies is your ability to design robust, scalable AI systems and influence engineering ...

tools to guarantee system health, security, and compliance. Collaborate with data scientists and product engineering teams to map out data ingestion pipelines and support MLOps initiatives. Contribute to architecture blueprints and participate in peer code reviews to maintain high engineering standards. As a Data Engineer you will have the following …/Snowflake Orchestration: Airflow Backend: Python, SQL, Shell Languages: Scala/Java DevOps: Terraform, Docker, Kubernetes Observability: Monte Carlo BI: Looker AI/ML: MLOps London | 12 Months Contract |£400 a day Inside IR35 If you want to work in an organisation where engineering quality is deeply respected, this ...

systems and pipelines Stay hands‐on (coding, reviews, debugging, deployments) Mentor a small team of ML engineers (2–3 people initially) Establish ML engineering & MLOps best practices Improve deployment, monitoring, and model lifecycle management Collaborate with DS, Risk, Product, and Engineering Help shape roadmap and hiring Skills, Knowledge & Expertise Strong … Engineer (not purely DS/research) Experience deploying and running ML models in production Solid software engineering skills (Python, APIs, systems) Good understanding of MLOps stack (CI/CD, monitoring, pipelines) Familiarity with tools like MLflow, Airflow, Evidently, DVC, Docker, Kubernetes. Cloud experience (AWS/GCP/Azure) Some mentoring ...

Deploy models into production using Python. Work across pricing, marketing, claims and customer analytics. Analyse model performance and continuously improve accuracy. Help shape future MLOps capability. Work closely with stakeholders across the business. What we're looking for Commercial experience as a Data Scientist. Strong Python and SQL skills. Experience … technical stakeholders. A naturally curious person who enjoys learning new technologies. Nice to have Insurance, financial services or pricing experience. Customer behaviour modelling. MLOps exposure. Databricks. Azure Why join? Genuine greenfield environment. High level of ownership from day one. Work directly with senior leadership. Opportunity to influence the technical direction ...

preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment, monitoring, retraining infrastructure) and applied ML research, taking new techniques from papers to production. Generative AI (LLMs, diffusion models) is the most active … 2026. Responsibilities Train, evaluate, and deploy machine‐learning models in production. Work across LLMs, computer vision, recommender systems, and forecasting. Specialise into ML research, MLOps, applied ML, or generative AI. Work for UK AI labs (DeepMind, Anthropic), fintechs, scale‐ups, and major corporates. Skills & Qualifications Reading and implementing academic papers. ...

Description The Role We are seeking a capable Consulting Data Architect to join our Insurance Technology Consulting practice and play a pivotal role in shaping, selling, and delivering data-led consulting engagements for insurance clients. ...

Role: Principal AI Solutions Consultant (Presales & Value Engineering) Location: London (Hybrid) Experience: 12+ Years Reports to: EVP Solutions & Services (NA & EMEA) Remuneration & Designation: Commensurate with your experience NowVertical is a global, publicly listed company on ...

guide customers in architecting production‐grade ML and AI applications on the Databricks platform. You will collaborate with Solution Architects and drive GenAI adoption, MLOps, and operator tooling across enterprise deployments. You will mentor colleagues, present at conferences, and contribute to the AI roadmap while partnering with customers to deliver ...

partner with Solution Architects to guide enterprise clients in architecting production‐grade ML/AI applications on the Databricks platform. You will advance GenAI, MLOps, and LLMOps, mentor colleagues, and influence the product roadmap while delivering practical tutorials, training, and thought leadership at conferences and #J-18808-Ljbffr ...

trusted technical expert for customers and Field Engineering. You will guide enterprise workloads on the Databricks Data Intelligence Platform, focus on GenAI, ML, MLOps, and LLMOps, and mentor peers while advancing the AI roadmap. You will engage with Solution Architects to design production-grade ML/AI solutions, deliver MVPs ...

applications on the Databricks Data Intelligence Platform, while mentoring peers and shaping AI thought leadership. This role requires deep hands-on experience with ML, MLOps, GenAI, and a passion for sharing knowledge and driving #J-18808-Ljbffr ...

leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise in ML frameworks such ...

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 ...

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 ...

transparency, fairness, and? appropriate use of data.? Define advanced experimental designs, lead A/B testing, develop and? maintain metrics and dashboards,? establish robust? MLOps practices, and own end-to-end? productionisation from data ingestion through deployment and ongoing model monitoring.? Design, architect, and? operate low latency,? highly reliable cloud … strong hands-on use of ML/DL frameworks (e.g.,? PyTorch , TensorFlow), including taking models from experimentation into production model serving.? End-to-end? MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices.? Proven technical leadership experience including ...

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 ...

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 ...