226 to 250 of 299 MLOps Jobs in England

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 ...

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 ...

Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automation Strong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOps Experience delivering enterprise‐scale RAG solutions using LLMs and vector databases Ability to design AI platforms that integrate with existing enterprise technology stacks … services Solid software engineering foundation for building scalable, maintainable AI systems Advanced Python expertise with AI and ML frameworks Experience with MLOps and LLMOps tooling including containerisation and orchestration platforms Proven experience delivering applications using state‐of‐the‐art LLMs including prompt design, fine‐tuning and evaluation Strong understanding ...

ownership: Make decisions that move the whole company forward. We value autonomy, speed, and impact. Stack: Build with modern tools — Python, FastAPI, TypeScript, LLMs, MLOps What We’re Looking For 2+ years of software development experience Hands-on experience building production AI systems with Python, PyTorch, and LLMs (OpenAI, Anthropic … etc.), integrated into real user workflows Familiarity with MLOps tools and CI/CD for both traditional and ML-driven systems Strong backend and API development skills - comfortable owning systems end-to-end, from data pipelines to user-facing interfaces Passion for building clean, usable products that solve real problems ...

optimize Generative AI features, focusing on fine-tuning open-source LLMs (using LoRA, QLoRA, etc.) and building RAG pipelines. End-to-End Deployment (MLOps): Partner with our AI Engineers to transition your models from prototype into scalable, monitored, and reliable production microservices. Technical Mentorship: Actively contribute to code reviews, share … tuning open-source models. Production-grade Python: High proficiency in Python and modern software practices (TDD, clean code, code review, CI/CD). MLOps exposure: Experience with tools and frameworks for training, deploying, and monitoring models in production. DEIB Commitment We believe attracting and retaining the best talent ...

scenario studies, and clear articulation of trade‐offs. Lead development of ML/AI solutions end‐to‐end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. Uphold standards for documentation, reproducibility, traceability, and SDLC; ensure compliance with internal … governance, and regulatory expectations for pricing/risk models. Hands‐on ML/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed computing and market data tooling (e.g. ...

Royal London is seeking a Senior MLOps Engineer to lead production-grade ML pipelines, governance, and reliability across the data and AI platform. You’ll partner with data scientists, data engineers and platform teams to raise standards for CI/CD, experiment tracking, and model lineage. You’ll design scalable ...

powering our enterprise planning platform. The role blends traditional predictive mathematics with Generative AI, requiring deep ML knowledge, GenAI experience, and strong Python/MLOps practices to deliver scalable, reliable solutions across our global customers. #J-18808-Ljbffr ...

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 ...

Find your next tech and IT Job or contract role. Senior DevOps Engineer Responsibilities: Build and maintain production and non‐production environments for high availability and cost optimisation. Build and maintain CI/CD pipelines ...

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 ...