26 to 50 of 118 MLOps Jobs in England

for SC clearance is 5 years continuous residence in the UK up to the present. About the Role You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You More ❯

data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric or Analytic models Experience of building Machine Learning models Any experience in MLOps or operationalising Machine Learning Knowledge of Data Quality Frameworks in Python Qualifications: Industry focused degree or equivalent working experience Azure certifications are desirable Developing Others Working Proactively Creativity and Innovation More ❯

spaces). Lead architectural discussions and technical trade-offs while staying close enough to dive into details when needed. Know your way around cloud infrastructure (AWS preferred) and modern MLOps practices. Thrive in a collaborative, startup-style environment: adaptable, decisive, and excited to work cross-functionally to deliver real business impact. Benefits We're a scaling start up, and we More ❯

integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML: Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms (e.g., Google Vertex AI, AWS Sagemaker). Hands-on work with Generative AI, Large Language Models (LLMs), agent-based frameworks, and prompt engineering. LI-YUnleash More ❯

ready AI/ML solutions in financial services; specific project examples required. Proficiency in designing and implementing scalable, secure AI solutions, including data pipelines, model deployment, API integration, and MLOps best practices such as Trustworthy AI. Education and Experience: Bachelor's degree or equivalent in Computer Science, Data Science, Engineering, or a related field, Master's or PhD (or equivalent More ❯

MLOps Engineer Award Winning Bank £85K - 100K base + 11% bonus (10% Pension, Private medical & dental, 30 days Annual leave + 8 days public holidays) Hybrid (2 days a week) - London, Reading, Manchester or Cardiff We are excited to partner with an award-winning bank that is rewriting the rules of modern banking. Our client is combining human expertise with … helping businesses unlock growth, supporting individuals to achieve their goals, or providing savings that really work, they champion those who dare to do things differently. The Opportunity As an MLOps Engineer, youll be at the forefront of leading Machine Learning, Data, and cloud services across the business. Playing a key part in kick-starting their journey into AI and ML. … labs to enabling new tooling to deploying data science models into production, and youll also play a pivotal role in helping our client scale and modernise. What youll bring MLOps experience essential Proficiency in SQL and Python Cloud engineering experience with Azure (if you have exp with AWS this would be beneficial) Experience working with cloud-based data platforms such More ❯

culture of collaboration and innovation. Experience in engaging with diverse stakeholders across different geographies and functional areas. Preferred Skills : Experience in the insurance or financial services industry. Familiarity with MLOps practices and the deployment of AI models at scale.At Howden, our culture is built on employee ownership, entrepreneurial spirit, and a commitment to innovation. As the Head of Data Science More ❯

mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master's (or equivalent experience) in Computer Science, AI, ML, or related field. Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published More ❯

mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master's (or equivalent experience) in Computer Science, AI, ML, or related field. Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published More ❯

and incident management Hands-on experience enabling AI/ML in a data platform Strong ETL/ELT engineering skills Desirable Experience with Python and related tooling Understanding of MLOps practices (MLflow, Azure ML) Familiarity with real-time data technologies (Kafka, Delta Live Tables) If you're passionate about transforming the banking industry and eager to leverage your expertise to More ❯

and incident management Hands-on experience enabling AI/ML in a data platform Strong ETL/ELT engineering skills Desirable Experience with Python and related tooling Understanding of MLOps practices (MLflow, Azure ML) Familiarity with real-time data technologies (Kafka, Delta Live Tables) If you're passionate about transforming the banking industry and eager to leverage your expertise to More ❯

Learning) You're confident in Python (production-level) and SQL, and at home with modern ML libraries such as Pandas, scikit-learn, and TensorFlow You have practical experience with MLOps frameworks and deploying models You're skilled at bringing data to life through visualisation, and tools like Tableau feel natural to you You're comfortable working with cloud-based architectures More ❯

Requirements Required: Strong Python programming fundamentals PyTorch Docker and containerised deployments Linux & Windows 10 development experience GIT, GitHub and collaborative software development Nice-to-Haves: AWS (S3, SageMaker, Lambdas) MLOps, CI/CD processes PyTorch-Ignite TypeScript & Semantic UI React SSH and secure deployment workflows Bonus Skills: JIRA & Confluence ClearML What We Value At Hawk-Eye, our culture is built More ❯

with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each You May Also Have Exposure More ❯

we’re looking for: Proven experience in AI/ML model development and deployment Strong skills with Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP) MLOps assurance and risk experinece Knowledge of data pipelines, model optimisation, and real-world deployments Details: Contract: 6 months (with view to extend) Location: London (Hybrid) Start: ASAP If you’re More ❯

we’re looking for: Proven experience in AI/ML model development and deployment Strong skills with Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP) MLOps assurance and risk experinece Knowledge of data pipelines, model optimisation, and real-world deployments Details: Contract: 6 months (with view to extend) Location: London (Hybrid) Start: ASAP If you’re More ❯

on experience as a DevOps engineer with Google Cloud Platform. Proven expertise with AI/ML services on GCP, particularly Vertex AI, BigQuery ML, and TensorFlow. Solid understanding of MLOps principles, including building CI/CD pipelines for machine learning. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience deploying and managing AI/ML workloads with Kubernetes/GKE. More ❯

on experience as a DevOps engineer with Google Cloud Platform. Proven expertise with AI/ML services on GCP, particularly Vertex AI, BigQuery ML, and TensorFlow. Solid understanding of MLOps principles, including building CI/CD pipelines for machine learning. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience deploying and managing AI/ML workloads with Kubernetes/GKE. More ❯

grade AI/ML solutions and driving adoption at scale. Deep expertise in GenAI (LLMs, prompt engineering, RAG) as well as classical ML and experimentation. Hands-on knowledge of MLOps, cloud (AWS/Azure), and modern data science tools. Exceptional stakeholder skills - able to translate complex technical work into board-level strategy and outcomes. Robert Half Ltd acts as an More ❯

findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC More ❯

models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and More ❯

Architecture Govern technical decisions around cloud compute, security, networking, and DevOps practices. Ensure cloud-native scalability, monitoring, and resilience of the AI-driven quoting platform. Oversee the adoption of MLOps pipelines (i.e., HeatWave AutoML + OCI Data Science). Define architectural standards and enforce architecture reviews across all technical workstreams. Governance & Leadership Run the Architecture Review Board (ARB) for the More ❯

architectures. Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should apply if What we're doing More ❯

AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily … with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. In the first instance More ❯

initiatives. Experience required: AWS Data/ML Engineering & ML Ops (ECS, Sagemaker) CI/CD pipelines (GitLab, Jenkins) Python, PySpark & Big Data ecosystems AI/ML lifecycle, deployment & monitoring MLOps tooling (MLflow, Airflow, Docker, Kubernetes) Front-end exposure (HTML, Flask, Streamlit) RESTful APIs & backend integration If this ML Engineer role is of interest, please apply now for immediate consideration. More ❯