76 to 96 of 96 MLOps Jobs in London

Collaborate with product and engineering to integrate ML systems into user-facing features Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques Influence key decisions on architecture and implementation … including latency, token cost control, context window constraints, monitoring and prompt versioning Strong Python skills and experience with PyTorch, TensorFlow or Keras Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI Bachelor's degree in a technical field such as computer science or years ...

Collaborate with product and engineering to integrate ML systems into user-facing features Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques Influence key decisions on architecture and implementation … including latency, token cost control, context window constraints, monitoring and prompt versioning Strong Python skills and experience with PyTorch, TensorFlow or Keras Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI Bachelor's degree in a technical field such as computer science or years ...

Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious … Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search ...

scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you’ll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle … technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including ...

Train customers and community members on product capabilities Feed frontline insights back to the company to shape the product roadmap Stay ahead of DevOps & MLOps trends and bring that expertise to every customer conversation IND123 ...

case definition through to high-level architecture and platform design. The role covers areas such as Predictive AI, Machine Learning and Generative AI, MLOps, data pipelines and modern AI platforms, across both cloud and private infrastructure. Alongside customer work, you’ll contribute to the development of AI offerings, standards … governance models and platform architectures aligned to business outcomes. • Design end-to-end AI solutions, including data ingestion, feature engineering, ML/GenAI models, MLOps and deployment. • Support pre-sales activity, including solution shaping, technical validation, demos and customer presentations. • Bridge multiple technology domains (cloud, hybrid infrastructure, data platforms, security ...

approaches into production, including deployment and monitoring Build and optimise ML pipelines on AWS Develop LLM-powered solutions, including evaluation and observability Apply strong MLOps practices: experiment tracking, versioning, and reproducibility Communicate findings clearly to technical and non-technical stakeholders Mentor junior engineers and contribute to team best practices This … TensorFlow) Production experience with AWS ML services (e.g. SageMaker, Lambda, S3) Proven ability to move models from experimentation into live systems Experience with MLOps tools (MLflow, Weights & Biases, DVC, or similar) Hands-on exposure to LLM/GenAI applications, including RAG Nice to have: Experience with advanced LLM techniques (e.g. ...

patterns, oversee solution design, guide engineering teams, and ensure alignment with security, compliance, and responsible AI standards. The role spans GenAI , ML , data platforms , MLOps , prompt engineering , and application integration . Key Responsibilities Architecture & Design Define end-to-end AI reference architectures across data, model lifecycle, APIs, and app integrations … Select and benchmark models (OpenAI, Azure AI Foundry, OSS LLMs) for task fit, cost, latency, and accuracy; design RAG and fine‐tuning strategies. Establish MLOps/LLMOps pipelines (CI/CD, feature stores, monitoring, drift detection, human-in-the-loop). Delivery Leadership Translate business objectives into solution roadmaps, epics ...

FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access ...

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building ...

research and implementation, taking models from concept to production, setting technical standards and supporting junior engineers. The role involves close collaboration with the AI, MLOps and Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop … Carry out analysis to understand model behaviour, drift and explainability. Build and maintain tools for evaluation, prompt testing and dataset preparation. Work with the MLOps engineer to deploy, monitor and retrain models in production. Support CI/CD processes for AI, including version control, reproducibility and rollback workflows. Provide mentorship ...

GenAI solutions in Python, using Databricks, Kafka and AWS Deploy and maintain algorithms in a microservices environment Lead on automation, monitoring, version control and MLOps best practice Support knowledge sharing across the ML and AI community Identify opportunities where ML and AI can improve products and operations What You Will … projects Strong Python and ML library skills Hands-on experience with GenAI APIs and production deployments Knowledge of the full ML lifecycle and MLOps tools such as MLflow or SageMaker Strong communication skills and experience working with senior stakeholders A grounding in statistics and an agile, problem solving mindset Some ...

internal ML community, influencing how we implement AI and computer vision technologies. Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions. About You Were looking for a proactive and versatile engineer who thrives in a collaborative environment and enjoys solving meaningful technical challenges. Youll … . Nice to Have: Experience working in a fully remote, international team. Previous startup experience. Experience building or operating agentic AI systems. Familiarity with MLOps practices and tools, CI/CD pipelines (e.g. GitLab CI, Argo CD), and infrastructure-as-code tools (e.g. Terraform). Knowledge of SQL/NoSQL ...

deployment and automation — using modern cloud tooling to shape smarter pricing, retention, and customer insight. Alongside hands-on modelling, you’ll help strengthen MLOps practices and contribute to emerging AI initiatives, working closely with engineering and analytics teams to deliver scalable, high-value solutions. Key attributes of the suitable Data … include: Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models. Exposure to MLOps or ML engineering practices , including pipelines, CI/CD, model monitoring, and working with tools like Azure ML or Fabric. Commercially minded communicator ...

MLOps Engineer Location: London, UK (Hybrid - 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem click apply for full job details ...

Details Role/Job Title: MLOps Engineer Work Location: London, UK Office Requirement (Hybrid): 2 days per week Key Responsibilities (High-Level) Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML). Build infrastructure to monitor model performance, data drift, and other key metrics ...

My client, a successful quantitative investment manager, is looking for a Senior DevOps engineer to join their ML ops team and to implement testing, development, automation tools, and IT infrastructure for the ML platform team ...

Robert Half Technology are assisting a global Pharmaceutical organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 Deep expertise in Snowflake and DBT to join a mission-driven ...

🚀📊 Senior Product Manager | Data & AI | Marketplace 📊🚀 Role: Senior Product Manager – Data & AI Enablement Salary: up to £100,000 + bonus & equity Location: London (Ideally 2 days/week in office) We’re working with a ...

Senior System Engineer (AI/ML) | Permanent position Location: Central London Onsite: 5 days a week (South Kensington/Waterloo) Salary: Up to £82,500 + Excellent Benefits Available position: 2 positions Our client, an ...

About the Team : You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning ...