21 of 21 Remote Time Series Forecasting Jobs in England

exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ More ❯

exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ More ❯

exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ More ❯

to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze the impact of availability levels on revenue and order volumes using statistical and predictive techniques. Create automated pipelines for monitoring performance of buying policies and flagging anomalies … dashboarding. Key Requirements: 4–6 years of experience in data science, analytics, or ML engineering , ideally in consumer products, retail tech, or supply chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with More ❯

to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze the impact of availability levels on revenue and order volumes using statistical and predictive techniques. Create automated pipelines for monitoring performance of buying policies and flagging anomalies … dashboarding. Key Requirements: 4–6 years of experience in data science, analytics, or ML engineering , ideally in consumer products, retail tech, or supply chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with More ❯

Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex More ❯

Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex More ❯

Data Science team comprises seven members, including two Senior Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create … to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep Learning … Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

Data Science techniques can add significant value, collaborating with and enthusing our stakeholders. You will: Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our More ❯

Code for scalability, creating re-usable scripts and utilities that brings data science as a discipline to the next level Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML) Code for privacy & security, keeping our users and patients privacy and security in mind all the time and More ❯

with both structured and unstructured datasets Ideally some experience deploying models via APIs or using cloud platforms like AWS or GCP Bonus if you have: Experience of Regression Modelling, Time Series Forecasting and Cluster Modelling Familiarity with recommendation systems, customer segmentation or demand forecasting They're a collaborative bunch, data has real buy-in across the More ❯

with both structured and unstructured datasets Ideally some experience deploying models via APIs or using cloud platforms like AWS or GCP Bonus if you have: Experience of Regression Modelling, Time Series Forecasting and Cluster Modelling Familiarity with recommendation systems, customer segmentation or demand forecasting They're a collaborative bunch, data has real buy-in across the More ❯

well as to drive collaboration. Preferred Requirements • Experience in identifying opportunities for product or business improvements and measuring the success of those initiatives. • Experience in applying modelling techniques e.g. time series forecasting, segmentation/clustering, anomaly detection. If this great opportunity interests you, please make an application to our Recruitment Partner, Datatech Analytics More ❯

surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to collect and derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth. We are backed by top investors, including Neo, Sukna, Race Capital, Propeller, and Wamda, having raised $3.5m to date. Responsibilities Integrate and Scale … owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries. Model Hosting and Monitoring: Host and monitor NLP … models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table. Requirements Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is More ❯

and leagues around the world Familiarity with a broad range of statistical techniques, such as regression modelling, Monte Carlo simulation, GLMs, mixed effects models, gradient boosting, ensemble modelling, and time series forecasting Interest in betting/prediction problems A flair for communicating statistical analyses to both technical and non-technical audiences Experience with SQL and relational databases … the betting industry A good understanding of the mechanics of betting markets Project management skills, including an ability to make sensible value judgements about where the team should spend time Experience producing readable, testable and maintainable code on a collaborative codebase A good knowledge of AWS (or a similar cloud platform) What we offer Half yearly bonus opportunities based More ❯

Lead Machine Learning Engineer - Forecasting (3-Month Contract) Location: Hybrid (minimum 1 day/week in our Vauxhall, London office) Contract Type: Full-time, Fixed-Term (3 months) Salary: Competitive, based on experience Eligibility: UK-based applicants only About Oddbox Oddbox is on a mission to fight food waste and transform the food system through our fruit and … scale our environmental impact, we're investing in smarter technology and forward-looking ML capabilities. We're now seeking an accomplished Lead Machine Learning Engineer to spearhead innovation in forecasting and customer behaviour modelling , enabling more sustainable, data-driven operations. About the Role This is a contract-to-impact opportunity for an experienced ML leader or Staff+ individual contributor … who thrives in lean, product-oriented environments. You'll be responsible for shaping and delivering end-to-end forecasting systems that influence core supply chain and customer engagement decisions. You will: Lead high-stakes forecasting projects - from ambiguous ideas to productionised ML systems Architect and deploy solutions in collaboration with Product, Engineering, and Ops Ensure data and model More ❯

and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred Qualifications Understanding of expected value More ❯

and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred Qualifications Understanding of expected value More ❯