6 of 6 Remote Data Science Jobs in Central London

Director of Data Science & Engineering Global Brand A confidential global leader in consumer intelligence and forecasting is hiring a Director of Data Science & Engineering to lead its AI and data transformation. You'll shape and scale the organisations data science and engineering strategy, embedding advanced AI, LLMs, and agentic models into real-world … forecasting and product platforms. What youll do: Lead a high-performing team of data scientists and engineers Drive AI innovation using LLMs, CV, NLP & generative models Oversee architecture of scalable, cloud-native data platforms Partner with product, tech, and commercial leaders to deliver impact Ensure strong data governance, performance, and ethical AI practices What were looking for … Strong strategic mindset and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? You'll More ❯

Senior AI Data Scientist London - 4 Days on-site £65,000 - £110,000 DOE + Generous Equity + Unlimited Holiday This is an excellent opportunity for a Senior Data Scientist with previous start-up experience to join a rapidly growing start-up, where you will focus on analytics and modelling to interpret data. This company is a platform … find flexible work opportunities. By connecting businesses with skilled professionals for short-term staffing needs, this innovative solution optimises workforce efficiency. In this varied role you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation. You will use machine learning tools and statistical techniques to solve business problems and collaborate … with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non-technical and technical stakeholders. The ideal candidate will possess a minimum of 2+ years of experience building AI models in Python within a start-up environment or leading Tech company. It is also crucial to demonstrate academic excellence in the past, whether More ❯

Permanent role - Junior Data Engineer/Developer - London/Hybrid/Remote Gibbs Consulting is looking for a self-motivated and focused Junior Data Engineer/Developer to join our internal team. If you're passionate about data, curious about the world of AI/ML, and eager to grow your technical capabilities in a collaborative environment … opportunity to take the next step in your career. Essential Solid programming knowledge with Python Experience using Pandas, NumPy, Matplotlib, and PyTorch Strong understanding of SQL for querying and data manipulation Familiarity with CI/CD workflows and Git version control Detail-oriented and proactive problem solver Enthusiastic about using data to inform business decisions Collaborative team player … eager to learn and contribute Desirable Exposure to cloud platforms : GCP , Azure , or AWS Familiarity with Data Lakes , Data Warehouses , or LakeHouse architecture Interest in AI/ML and applied data science use cases Please feel free to contact myself - Daisy Nguyen at Gibbs Consulting for a confidential chat to know more details about the role. More ❯

Engineer Location: London (Hybrid) Duration: 8 weeks initially Salary: £30 an hour (Via an umbrella company) Role Overview We are seeking a Research Software Engineer to support computational and data science projects within the Department of Earth Science and Engineering. The role involves close collaboration with researchers to develop, implement, and support high-quality software solutions for … both teaching and research. Key Responsibilities Collaborate with researchers to deliver data-driven and computational research solutions. Manage technical projects, including requirements gathering, planning, and risk management. Define and promote software development best practices (testing, CI/CD, version control). Design and deploy scalable software systems with monitoring in mind. Apply high-performance and distributed computing methods to More ❯

role, along with a flexible hybrid working model. Role and Responsibilities Lead and grow a small but talented engineering team (2-3 engineers) Own and evolve key systems, including data ingestion from platforms like Deliveroo, Uber Eats, and JustEat Build and maintain self-serve dashboards and web apps for kitchen operators and food brands Develop and deploy AI-powered … solutions for food quality control, anomaly detection, and kitchen management Automate manual workflows in kitchen operations, leveraging cutting-edge AI tools Collaborate closely with founders and the AI/Data Science engineer to shape product and technical strategy Stay hands-on with development, spending most of the time coding and problem-solving Foster a culture of innovation, rapid … iteration, and continuous improvement Essential Skills and Experience Proven software engineer with strong expertise in data engineering and system integrations Architectural skills with the ability to design scalable, stable systems from the ground up Experience building and managing small engineering teams Familiarity with AI-native development tools and a passion for leveraging AI in practical applications Highly motivated, curious More ❯

London office. Start ASAP in August 2025. Key experience + tasks will include: Implementing Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. Working closely with Data Scientists and operationalizing model with auditing enabled, and ensuring the run can be reproduced. Ensuring models are modular, source controlled, and have agreed release numbering. Extracting hard-coded elements … on the accuracy and error rate of each experiment. Ensuring model is run in line with defined schedule, and that multiple models feeding oneanother take dependencies into account. Capturing data drift, concept drift, model performance degradation signals and ensuring model retrain. Defining/maintaining ML Frameworks (Python, R, Matlab templates), and looking for common reusable code that could be More ❯