26 to 50 of 67 MLOps Jobs in London

well as AI models? If you love hands-on delivery, technical vision, and cross-functional leadership - this is your role. 🧠 NLP | OCR | Semantic Search 🛠 MLOps | Python | AWS | Docker/K8s 🏥 Meaningful mission | HealthTech at scale #AIJobs #NLP #HealthTech #MLOps #DataScience #LLM #OCR #Leadership More ❯

and a range of data science techniques; proven leadership in managing data science teams and delivering AI-driven solutions; deep expertise in model deployment, MLOps, CI/CD and cloud-based architectures; the ability to translate business challenges into data engineering and data science/machine learning problems; strong stakeholder More ❯

and a range of data science techniques; proven leadership in managing data science teams and delivering AI-driven solutions; deep expertise in model deployment, MLOps, CI/CD and cloud-based architectures; the ability to translate business challenges into data engineering and data science/machine learning problems; strong stakeholder More ❯

We are partnering with a prestigious investment bank to find a highly skilled and Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office … user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops … Machine learning and Data engineering is required to enable to right candidate to implement the MLOps processes. This team are a specialist team and this role in particular is a key position. Once the framework is established , you will become the gatekeeper to lots of other divisions within the bank More ❯

on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and deploy machine learning models for anti More ❯

and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use More ❯

and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use More ❯

Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work More ❯

Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work More ❯

for machine learning such as Accuracy, Recall, F1 scores and others. Additional beneficial experience includes: Familiarity with best practice in Machine Learning workflows and MLOps tools. Technical experience in developing non-ML solutions in the Aviation, Mobility, Edge Devices, and/or Robotics industries. At a personal level we’re More ❯

Skills- Python/PyTorch/Scikit- learn Deliver and test AI/ML pipelines that can be deployed into a cloud environment DevOps/MLOps practices LangChain, Llama, LLMs RAG Systems Co Pilot/Gen AI Details- 6 month contract Outside IR35 £(Apply online only)p/d Fully remote More ❯

learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested in this More ❯

learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits 🏖 Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested in this More ❯

innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with More ❯

innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with More ❯

MLOPS ENGINEER LONDON - HYBRID £80,000 - £95,000 This is a great opportunity for an MLOps engineer from a DevOps background with ML experience to drive cutting-edge work at a data-driven retail tech start-up! ROLE: In this role you will: Design, deploy and scale on their cloud … data working closely with the Computer Vision team Deploying APIs and packages Stay updated on emerging technologies, trends, and best practices in DevOps and MLOps to recommend and implement innovative solutions that drive business value. Tech stack: Python, AWS/GCP, Docker, CI/CD, Deep Learning, Kubernetes, DevOps REQUIREMENTS … MSc in a numerical or relevant field is preferred MLOps experience is required An excellent understanding of DevOps processes and techniques Happy working in a fast-paced environment Any experience working with computer vision engineers is a bonus! How To Apply Please register your interest for this role by sending More ❯

arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries … iterating fast Excellent communication and self-management skills Nice To Have Familiarity with agentic frameworks, orchestration tools, or vector databases Background in DevOps/MLOps or platform engineering Passion for building something from scratch and seeing the impact of your work in production What We Offer Competitive salary with equity More ❯

labs, GPU buyers, DevOps teams, or enterprise R&D Familiarity with cloud-native technologies, LLM infrastructure, or ecosystem players like NVIDIA, Hugging Face, or MLOps vendors Background in partner or channel marketing Working knowledge of SEO, SEM, and campaign analytics Benefits Competitive total compensation package (cash + equity). Pension More ❯

labs, GPU buyers, DevOps teams, or enterprise R&D Familiarity with cloud-native technologies, LLM infrastructure, or ecosystem players like NVIDIA, Hugging Face, or MLOps vendors Background in partner or channel marketing Working knowledge of SEO, SEM, and campaign analytics Benefits Competitive total compensation package (cash + equity). Pension More ❯

making that happen. What you'll do: Lead a team of engineers to design and deploy AI/ML and generative AI models Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code Monitor model performance, define KPIs, and continuously improve solutions Collaborate with More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and … deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from More ❯

Founded 5 years ago and already 100 people strong with offices in both London and NY, our client has built a robust and explosive MLops business. Series B funded (raised over $30m), they are currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have More ❯

Founded 5 years ago and already 100 people strong with offices in both London and NY, our client has built a robust and explosive MLops business. Series B funded (raised over $30m), they are currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have More ❯

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human More ❯

of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. Requirements You We are looking for someone who is as … you have: Experience working in a fully remote, international team Previous startup experience A background in building and operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency More ❯