pipelines. Comfortable in fast-paced, agile delivery environments. DESIRABLE SKILLS Experience building or integrating feature stores . Familiarity with Unity Catalog , Databricks SQL , and cost optimisation . Exposure to MLOps practices and production-grade model lifecycle management. Prior experience in financial services or other regulated sectors. HOW TO APPLY Please register your interest by sending your CV via the apply More ❯
databases. Experience with containerisation (Docker, Kubernetes/EKS). Knowledge of healthcare data standards such as CDISC, HL7, FHIR, SNOMED CT, OMOP, and DICOM. Familiarity with big data technologies, MLOps, and model deployment. Bachelor's degree in a relevant field (Master's preferred) and 5-7 years' experience in data engineering, including work with healthcare, research, or clinical data. More ❯
Strong communication and stakeholder management skills, with the ability to influence at C-level Background as a hands-on data scientist, with deep understanding of model development, deployment, and MLOps MSc in a quantitative field required; PhD welcome but not essential Familiarity with AI governance and ethical AI practices Curious and up to date on GenAI technologies (either directly or More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Omnis Partners
scalable AI solutions using cutting-edge tools like LangGraph, FastAPI, and HuggingFace. Own the full AI product lifecycle - from idea to production. Architect intelligent systems using Python, microservices, and MLOps tooling (MLflow, DVC). Work closely with cross-functional teams to turn real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/ More ❯
scalable AI solutions using cutting-edge tools like LangGraph, FastAPI, and HuggingFace. Own the full AI product lifecycle - from idea to production. Architect intelligent systems using Python, microservices, and MLOps tooling (MLflow, DVC). Work closely with cross-functional teams to turn real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/ More ❯
Strong communication and stakeholder management skills, with the ability to influence at C-level Background as a hands-on data scientist, with deep understanding of model development, deployment, and MLOps MSc in a quantitative field required; PhD welcome but not essential Familiarity with AI governance and ethical AI practices Curious and up to date on GenAI technologies (either directly or More ❯
deployment of high-impact models (personalisation, churn, demand forecasting, pricing, etc.) into production. Establish governance and standards for model quality, explainability, and bias mitigation across jurisdictions. Drive adoption of MLOps best practices - CI/CD, automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced More ❯
deployment of high-impact models (personalisation, churn, demand forecasting, pricing, etc.) into production. Establish governance and standards for model quality, explainability, and bias mitigation across jurisdictions. Drive adoption of MLOps best practices - CI/CD, automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced More ❯
spaces and adapting solutions to client needs Nice to Have Experience working with large datasets or cloud platforms (e.g. Azure, GCP) Background in consulting, though not required Familiarity with MLOps lifecycle and deployment practices Sector experience in FS, energy, public sector, or health/life sciences You’ll report to the VP of Data Science, with the freedom to shape More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
/sub patterns for asynchronous processing Integrate with third-party data sources like Snowflake and Databricks Create robust error handling, monitoring, and retry systems for high availability Collaborate with MLOps and DevOps teams to optimise architecture and deployment pipelines What You'll Bring 5+ years in backend or fullstack engineering roles Strong Python skills, ideally with FastAPI and the ASGI More ❯
Language Processing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. Experience with MLOps Excellent organisation skills, working independently and ability to deliver results for deadlines. A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively. Good customer More ❯
the Solutions Architect role at JFrog Join to apply for the Solutions Architect role at JFrog Residency in London Area is required At JFrog, were reinventing DevOps, DevSecOps and MLOps to help the worlds greatest companies innovate, develop faster and be more secure -- and we want you along for the ride. This is a special place with a unique combination 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-Y More ❯
in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing More ❯
direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as MongoDB or other NoSQL databases. Practical knowledge of MLOps principles, including CI/CD pipelines using GitHub Actions . Experience with analytics platforms like Google Analytics and business intelligence tools like Tableau or Power BI. Knowledge of GPU-accelerated More ❯
direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as MongoDB or other NoSQL databases. Practical knowledge of MLOps principles, including CI/CD pipelines using GitHub Actions . Experience with analytics platforms like Google Analytics and business intelligence tools like Tableau or Power BI. Knowledge of GPU-accelerated More ❯
s Old Street office and working from home depending on the needs of the project. 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 Government & Public Services arena. Because of the More ❯
s Old Street office and working from home depending on the needs of the project. 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 Government & Public Services arena. Because of the More ❯
continuous innovation. Drive cross-functional initiatives with Data Engineering, Infra, and other teams to align on data architecture and ensure our ML systems meet overarching business objectives. Evolve our MLOps infrastructure, driving the strategy for model versioning, automated deployments, monitoring, and observability using modern tools like Prefect. Mentor and guide other members of the team, fostering a culture of technical 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 ❯
performance and manage end-to-end ML lifecycle (data ingestion, training, evaluation, deployment). Mentor junior engineers and contribute to code reviews, best practices, and technical decision-making. Implement MLOps pipelines for continuous training, deployment, and monitoring of models. Ensure compliance with data privacy and security regulations (GDPR, etc.). Required Skills & Qualifications: Bachelor's or Master's degree in … Solid understanding of ML algorithms , NLP , deep learning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS/Azure/GCP . Hands-on experience with MLOps tools (MLflow, SageMaker, Kubeflow, etc.) and version control systems. Strong knowledge of APIs, microservices architecture, and CI/CD pipelines. Proven experience in leading teams, managing stakeholders, and delivering end More ❯
Are you passionate about data science, innovation, social impact, and early childhood development? Elevate Great is looking for a talented Data Scientist (MLOps) to join our Evidence Team and help shape our data and evidence function. You will develop and deploy Elevate Great's data infrastructure and data science projects with a focus on MLOps and collaborate with cross-functional More ❯
Date: July 2025 Company: Fuzzy Labs Job Title: MLOps Engineer Location: Central Manchester Working style: Hybrid Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good. We are growing our … team of engineers to help deliver an increasing number of client projects. You won't need an existing MLOps background to apply for this role. You'll learn as you go by immersing yourself in this exciting new field. What we're looking for We've seen considerable growth over the past few years and this will continue as we … build on our reputation as Open Source MLOps experts, while working with the community, and delivering solutions to our clients. The ideal candidate would be motivated to grow and progress in line with the company's ambitions. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy More ❯
