126 to 143 of 143 MLOps Jobs in England

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI-native data system that bring clarity and credibility to nature-based assets … great for FinTech/quant backgrounds)• Climate/weather datasets (CMIP, forecast data)• Geospatial tools: rasterio, xarray, geopandas, GDAL• Remote sensing (optical, radar, LiDAR)• MLOps: CI/CD, containerisation, monitoring• Startup or fast-paced product environmentThe role offers £110k–£130k, a global team environment, and the chance to shape ...

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. We are looking for someone who is as excited about Unitary … 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 with ...

Director of Data Engineering: AI & Data Platforms Location: London (Hybrid – 1–2 days per week onsite) Salary: Up to £140,000 + equity & benefits Reports to: CTO Overview of the Role This is a rare ...

This is a fantastic opportunity to work as an MLOps Engineer on a remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this MLOps Engineer position are: MLOps Image data Terraform AWS PyTorch, TensorFlow, JAX If you do have the relevant experience for this long … term remote contract MLOps Engineer role, outside IR35, please do apply. ...

This is a fantastic opportunity to work as an MLOps Engineer on a remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this MLOps Engineer position are: MLOps Image data Terraform AWS PyTorch, TensorFlow, JAX If you do have the relevant experience for this long … term remote contract MLOps Engineer role, outside IR35, please do apply click apply for full job details ...

hiring for - Senior MLOps/Python Cloud Engineer job location : London UK Job Type : Permanent job details: We are hiring a Senior MLOps/Python Cloud Engineer The project centres on building a next-generation parametric pricing engine taking a robust Python prototype and transforming it into a production-grade … decisions Strong communication skills confident explaining technical decisions to non-technical stakeholders good to have : Background in insurance, financial services, or another regulated industry MLOps or model deployment experience Familiarity with Power Apps or low-code platforms ...

adoption of large language models (e.g. Gemini) to enable intelligent automation and natural language interactions. You will also define best practices across data engineering, MLOps, and LLMOps, ensuring scalable, secure, and high-quality solutions. Working closely with Architecture, Risk, and Compliance teams, you will ensure responsible and compliant AI deployment. … native data platforms (BigQuery) Deliver batch and real-time pipelines (Dataflow, Pub/Sub, Cloud Storage) Drive AI and LLM-based automation initiatives Implement MLOps and LLMOps best practices Set standards for data quality, security, and resilience Lead and develop data and AI engineering teams Collaborate with stakeholders across ...

learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture … building and deploying ML models Lifecycle Ownership: Ability to manage ML workflows from design to production Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration Governance & Compliance: Familiarity with secure coding and quality assurance standards Collaboration & Mentoring: Ability ...

Title: Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) Job Description We are seeking an experienced Lead Machine Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation … explainability of inference processes. Collaborating closely with data scientists and product teams, your role will focus on enhancing MLOps practices, ensuring high standards of security, performance, and compliance. Responsibilities Build and maintain scalable feature pipelines within data lakehouse architectures. Develop fallback feature flows and implement robust data quality checks. Develop ...

Director of Data & AI £120,000 Northwest This is a pivotal leadership position within a data-rich, technology-enabled organisation currently undergoing significant transformation and investment in AI. The Director of Data & AI will shape ...

Machine Learning Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of ...

I am recruiting for a Data Scientist to work on a hybrid basis - 2-3 days in London, remaining time remote. The role falls inside IR35 so you will be required to work through an ...

deliver cloud and on-prem infrastructure solutions aligned to security and governance standards Lead architecture across AI/ML workloads , including LLMs and MLOps environments Work closely with security, networking and data teams to ensure resilient, compliant solutions Own high- and low-level designs (HLD/LLD) and support project … complex environments (NHS or regulated sectors beneficial) Strong Azure and/or AWS infrastructure architecture Experience supporting AI/ML platforms , including LLMs and MLOps Knowledge of GPU virtualisation/high-performance compute environments Solid understanding of networking, firewalls, identity (Entra ID/AD) and security best practice Experience across ...

ingestion pipelines to the deployment of advanced GenAI models. This is a hands-on leadership role requiring a deep understanding of modern data architecture, MLOps, and the orchestration of agentic workflows. Key Responsibilities Lead Delivery: Oversee the end-to-end lifecycle of data-intensive platforms and AI solutions aligned with … architecture. Technical Direction: Provide guidance across cloud engineering, data modeling, and ML model monitoring. Engineering Excellence: Enforce best practices in coding standards, DevOps/MLOps pipelines, and automated SDLC. Stakeholder Management: Translate complex business requirements into actionable technical backlogs for engineering teams. Innovation: Evaluate emerging GenAI/LLM tech ...

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 ...

Machine Learning Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of ...

hiring for - Senior MLOps/Python Cloud Engineer job location : London UK Job Type : Permanent job details: We are hiring a Senior MLOps/Python Cloud Engineer The project centres on building a next-generation parametric pricing engine taking a robust Python prototype and transforming it into a production-grade ...

client is a leading global software platform company transforming how modern organizations build, secure, and deliver software across DevOps, DevSecOps, and MLOps environments. Trusted by thousands of enterprises worldwide including many of the largest global organizations the platform plays a critical role in securing and accelerating software delivery from code … Bitbucket) Security technologies such as SCA, SAST, SBOM management, and container security Background in software development is a strong advantage Experience or exposure to MLOps is a plus Diversity & Inclusion Our client is committed to fostering a diverse, inclusive, and equitable workplace . They believe that diverse perspectives drive better ...