in small cross-functional squads. What we'd 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 More ❯
Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's or PhD in Computer Science Some experience with MLOps would be very beneficial. Experience with building search applications using Azure Search, Sinequa, Elastic or anything Lucene-based would come in handy but is not More ❯
of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and model evaluation techniques. More ❯
of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and model evaluation techniques. More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Marcura
of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and model evaluation techniques. More ❯
party Generative AI API services Setting up Retrieval Augmented Generation (RAG) architectures, prompt engineering (ICL), and Reinforcement Learning from Human Feedback (RLHF) processes Implement MLOps and related DevOps focused on LLMs deployed in cloud-native environments Support, optimise and transition our current processes to ensure well architected implementations and best More ❯
Mathematics, or a technical field. Proficiency in Python (or R), with hands-on experience in ML and statistical modeling. End-to-end experience with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. Hands-on with AWS services (SageMaker, Glue, Redshift More ❯
Mathematics, or a technical field. Proficiency in Python (or R), with hands-on experience in ML and statistical modeling. End-to-end experience with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. Hands-on with AWS services (SageMaker, Glue, Redshift More ❯
london, south east england, United Kingdom Hybrid / WFH Options
MarkJames Search
Mathematics, or a technical field. Proficiency in Python (or R), with hands-on experience in ML and statistical modeling. End-to-end experience with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. Hands-on with AWS services (SageMaker, Glue, Redshift More ❯
Experience Databricks Machine Learning Associate or Machine Learning Professional Certification Developed and deployed real-time pricing, recommendation or next best action models Understanding of MLOps We are actively seeking candidates for full-time, remote work within the UK. More ❯
Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, Hugging Face, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. Databases and data platforms: SQL, NoSQL More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model deployment, and performance tuning. Evaluate and implement new frameworks, tools, and cloud-native AI solutions (including LLMs). Make strategic technical decisions that align More ❯
london, south east england, United Kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model deployment, and performance tuning. Evaluate and implement new frameworks, tools, and cloud-native AI solutions (including LLMs). Make strategic technical decisions that align More ❯
data science, machine learning concepts, and analytics capabilities Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Experience with MLOps practices (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning models effectively Excellent communication skills with the ability to translate complex technical concepts for More ❯
data science, machine learning concepts, and analytics capabilities Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Experience with MLOps practices (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning models effectively Excellent communication skills with the ability to translate complex technical concepts for More ❯
data science, machine learning concepts, and analytics capabilities Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Experience with MLOps practices (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning models effectively Excellent communication skills with the ability to translate complex technical concepts for More ❯
be beneficial include: Experience in a startup environment Knowledge of Python frameworks (Django, Flask, FastAPI), Rust, and machine learning libraries Familiarity with Generative AI, MLOps, CI/CD, and cloud platforms (AWS/GCP/Azure) Expertise with container tools like Docker and Kubernetes Ready to take the next step More ❯
tools and frameworks such as TensorFlow, PyTorch, MLflow, SageMaker, or Databricks Deep understanding of data architecture, APIs, and model deployment best practices Knowledge of MLOps and full model lifecycle management Excellent communication and stakeholder management skills Desirable MSc or PhD in Computer Science, Artificial Intelligence, or a related field Experience More ❯
with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such as DevOps/Git. Soft Skills More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural More ❯
london, south east england, United Kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural More ❯
frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP) • Strong experience with data architecture, pipelines and governance (e.g., data lakes, ETL, MLOps) • Knowledge of regulatory and ethical considerations in AI systems • Excellent leadership, communication and stakeholder engagement skills Desirable: • TOGAF or other enterprise architecture certification • Experience deploying More ❯
