advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the UK. More ❯
SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including model lifecycle management, CI/CD for ML, monitoring, and scalable deployment of ML pipelines in production environments Knowledge of CloudOps practices, with expertise in managing scalable, cost-optimized More ❯
to medium sized machine learning projects in small cross functional squads. What wed like to see from you: Strong understanding of a wide range of ML algorithms. Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL More ❯
PyTorch and TensorFlow, from conception to deployment in scalable environments. Ability to design, deploy, and maintain ML solutions on modern frameworks, adhering to best practices, including version control, testing, MLOps, CI/CD, and API design. Hands-on experience with at least one major cloud platform (AWS, Azure, GCP) in a production setting, and familiarity with ML platforms like AWS More ❯
platforms (e.g., B2B SaaS, marketplaces) Background in consulting, research labs, or tech companies with applied ML experience Familiarity with end-to-end ML lifecycle, including model monitoring, retraining, and MLOps best practices Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an More ❯
skills and ability to present complex ideas to non-technical stakeholders Experience with cloud platforms (AWS, GCP, Azure) and tools like Databricks, Snowflake, or BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging More ❯
problem Experience with experiment design and conducting A/B tests Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch Collaborative and humble great teammate with an ability to work wimulti More ❯
400M+ downloads. 75M+ monthly users. A decade of building - and we're still accelerating. Flo is the world's health app on a mission to build a better future for female health. Backed by a $200M investment led by General More ❯
and generative AI systems. Experience with data engineering or analytics platforms. Understanding of AI safety, security, and compliance best practices in production. Enthusiasm for learning and adopting the latest MLOps and AI technologies. #ICB #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy More ❯
problem Experience with experiment design and conducting A/B tests Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch Collaborative and humble team player with an ability to work with More ❯
delivery , balancing innovation with maintainability, scalability, and performance. Develop and maintain reusable components , APIs, and services that enable rapid deployment of AI features across products. Champion best practices in MLOps and software engineering , including CI/CD, testing, observability, and versioning for AI systems. Mentor and guide junior engineers and cross-functional team members, fostering a culture of technical excellence More ❯
using frameworks such as Transformers, PyTorch, or TensorFlow Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members Strong collaboration and communication skills, with experience aligning technical approaches More ❯
environments (AWS, GCP, or Azure) Ability to work independently and communicate effectively in a remote team Bonus Points Experience with Hugging Face Transformers , LangChain , or RAG pipelines Knowledge of MLOps tools (e.g., MLflow, Weights & Biases, Docker, Kubernetes) Exposure to data engineering or DevOps practices Contributions to open-source AI projects or research publications What We Offer Fully remote working A More ❯
in data architecture, ETL/ELT pipelines, and distributed computing frameworks (e.g., Spark, Databricks). Excellent communication, stakeholder management, and team leadership skills. Nice to have (advantagous) Experience with MLOps, CI/CD for ML, and model governance. Exposure to multi-modal AI (text, image, audio). Sound like a great match? please apply with your CV asap to register More ❯
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
Smile Digital Talent Ltd
the ability to balance research innovation and commercial value delivery. Comfortable operating across cloud environments (GCP, Azure, AWS) and deploying AI/ML systems at scale. Strong knowledge of MLOps practices and infrastructure including CI/CD, model versioning, orchestration, and monitoring. A collaborative and inspiring leader who brings out the best in technical teams and communicates complex concepts to More ❯
Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured More ❯
have 5+ years of experience in technical product management Experience working with developerteams and productionizing AI or other data-intensive applications Breadth of knowledge or familiarity with GenAI platforms, MLOps platforms, AI toolkits Deep understanding of software development best practices Organizational and communication skills to effectively coordinate and work with engineers, UX, subject matter experts, other product managers, and senior More ❯
a customer facing role 2+ years experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP More ❯
/entity relationships, NoSQL, JSON, XML, SQL and exposure to data visualisation tools (ETL/ELT). Data Science Tools: Proficiency in Numpy, Pandas, Matplotlib, Seaborn and Scikit-learn. MLOps: Experience building pipelines (CI/CD) using Bicep or similar technologies. Expertise in deploying, monitoring and managing machine learning models in production environments. API Development: An understanding of REST. Experience More ❯
Microsoft Azure AI services. Strong understanding of large language models, prompt engineering, and fine-tuning techniques. Experience with data manipulation libraries (e.g., Pandas, NumPy) and cloud platforms. Familiarity with MLOps, version control (e.g., Git), and deployment tools (e.g., Docker, Kubernetes). Excellent problem-solving skills and the ability to work on complex AI challenges. Nice to Have: Experience with NLP More ❯
