6 of 6 Remote Exploratory Data Analysis Jobs in the UK

Contract Opportunity: Data Engineer - 6-Month Inside IR35 Location: Milton Keynes (Hybrid - 3 Days in Office per Week) Duration: 6 Months IR35 Status: Inside IR35 Rate: Flexible, Depending on Experience We're looking for an experienced Data Engineer to join a project-focused team working on the development and implementation of a robust data model for banking … The engagement is inside IR35 , and rates are flexible based on experience. Role Purpose: You'll collaborate with a small technical team and liaise with IT to ensure the data model is effectively productionised. The ideal candidate will have strong technical data analysis skills, experience with big data technologies, and the ability to communicate complex insights … clearly to stakeholders. Key Responsibilities: Collaborate with a small team to build and refine a banking-focused data model. Liaise with IT teams to transition data models into production environments. Conduct data mining and exploratory data analysis to support model development. Apply strong SQL, Hadoop, and cloud-based data processing skills to manage More ❯

edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines … using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to the … mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow More ❯

edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines … using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to the … mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow More ❯

TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate … with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark … ability to work independently or in a team. Typically, 5+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work on impactful AI projects More ❯

TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate … with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to the mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong … ability to work independently or in a team. Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work on impactful AI projects More ❯

Entry-Level Data Analyst – Finance Location: Glasgow, UK (G1 3SL), Flexible/Hybrid Working Options Available About Our Client: Our client is a forward-thinking financial organisation based in the heart of Glasgow’s city centre . Known for embracing innovation and data-led decision-making, they support a range of financial services across public and private sectors. … With a focus on developing early-career talent, they are seeking an Entry-Level Data Analyst to join their team and grow within a supportive, fast-paced environment. Role Overview: This role is ideal for graduates or junior professionals looking to gain real-world exposure in financial analytics. You will work alongside experienced analysts and finance professionals to deliver … insights that influence critical business outcomes. Responsibilities: Collect and validate financial data from internal systems and external datasets. Conduct exploratory data analysis to spot patterns, trends, and anomalies. Develop and update dashboards and reporting tools to support finance teams. Translate raw data into clear, actionable insights for non-technical stakeholders. Support ongoing projects around forecasting More ❯