1 to 25 of 30 Permanent Time Series Forecasting Jobs in the UK

Title: Data Scientist Location Options: Scottsdale, AZ Stamford, CT Wakefield, MA Las Vegas, NV Job Type: Full Time Exempt Who You Are: As a Data Scientist at Curaleaf, you'll play a critical role in shaping the future of the cannabis industry through data-driven insights. We're looking … for a results-oriented professional with expertise in time series forecasting to help us predict key business metrics, drive strategic decision-making, and optimize operations. In this role, you'll apply advanced statistical methods and forecasting models to uncover trends and inform high-impact business strategies. … What You'll Do: Develop and implement time series forecasting models to predict demand, sales, and inventory using advanced techniques like Prophet and LSTM. Analyze complex business problems to generate actionable insights and support decision-making. Build and deploy efficient forecasting models while collaborating with cross More ❯

for an AI-for-good startup based in London that's reimagining the future of renewable energy in the UK. Fresh off a £10M+ Series A round in April 2024, they’re using cutting-edge AI to connect users directly with renewable energy generators making clean energy more accessible … efficient, and impactful. With an eye toward a Series B raise in late 2025 or early 2026, they're building out their team to support ambitious growth and deeper market penetration. The Role They’re looking for a Lead Data Scientist to architect a next-generation, deep learning-based … time series forecasting engine. This engine will sit at the core of their dynamic energy marketplace, shaping critical decisions across pricing, risk, and broader commercial strategy. This is a high-impact, high-ownership role with clear leadership opportunities. As the company scales, the data science function will More ❯

for an AI-for-good startup based in London that's reimagining the future of renewable energy in the UK. Fresh off a £10M+ Series A round in April 2024, they’re using cutting-edge AI to connect users directly with renewable energy generators making clean energy more accessible … efficient, and impactful. With an eye toward a Series B raise in late 2025 or early 2026, they're building out their team to support ambitious growth and deeper market penetration. The Role They’re looking for a Lead Data Scientist to architect a next-generation, deep learning-based … time series forecasting engine. This engine will sit at the core of their dynamic energy marketplace, shaping critical decisions across pricing, risk, and broader commercial strategy. This is a high-impact, high-ownership role with clear leadership opportunities. As the company scales, the data science function will More ❯

Senior Machine Learning Engineer Permanent Opportunity Fully Remote Working Job Overview: Machine Learning Engineer (AWS & Time Series Specialization) We're seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities. Key Responsibilities Design and deploy advanced machine learning models using AWS SageMaker Architect robust ML … infrastructure and production pipelines Implement model management strategies with MLflow/Metaflow Develop sophisticated time series forecasting solutions Leverage containerization technologies to ensure scalable, efficient deployments Required Expertise Proven experience deploying ML models in production environments Experience having used ML pipeline orchestration tools, like Airflow, Metaflow, Prefect … Dagster, BentoML - Essential* Advanced skills in AWS SageMaker , cloud-based ML infrastructure Expert-level understanding of time series data modeling Proficiency in containerization (Docker) Strong capabilities with AWS CDK( or Terraform) and workflow management tools Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling More ❯

Senior Machine Learning Engineer Permanent Opportunity Fully Remote Working Job Overview: Machine Learning Engineer (AWS & Time Series Specialization) We're seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities. Key Responsibilities Design and deploy advanced machine learning models using AWS SageMaker Architect robust ML … infrastructure and production pipelines Implement model management strategies with MLflow/Metaflow Develop sophisticated time series forecasting solutions Leverage containerization technologies to ensure scalable, efficient deployments Required Expertise Proven experience deploying ML models in production environments Experience having used ML pipeline orchestration tools, like Airflow, Metaflow, Prefect … Dagster, BentoML - Essential* Advanced skills in AWS SageMaker , cloud-based ML infrastructure Expert-level understanding of time series data modeling Proficiency in containerization (Docker) Strong capabilities with AWS CDK( or Terraform) and workflow management tools Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling More ❯

know a bit more about this opportunity, or are considering applying, then please read the following job information. Job Overview: Machine Learning Engineer (AWS & Time Series Specialization) We're seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities. Key Responsibilities Design and deploy advanced … machine learning models using AWS SageMaker Architect robust ML infrastructure and production pipelines Implement model management strategies with MLflow/Metaflow Develop sophisticated time series forecasting solutions Leverage containerization technologies to ensure scalable, efficient deployments Required Expertise Proven experience deploying ML models in production environments Experience having … ML pipeline orchestration tools, like Airflow, Metaflow, Prefect, Dagster, BentoML - Essential* Advanced skills in AWS SageMaker, cloud-based ML infrastructure Expert-level understanding of time series data modeling Proficiency in containerization (Docker) Strong capabilities with AWS CDK(or Terraform) and workflow management tools Tech Stack: AWS SageMaker, MLflow More ❯

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 … 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 More ❯

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 … 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 More ❯

Data Scientists, two Data Scientists, a Machine Learning Engineer 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 … and implementing sophisticated experiments and models that significantly enhance business performance Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting Extensive experience deploying ML models to production at scale with robust monitoring systems Advanced knowledge of SQL and data manipulation techniques Mastery of software … Demonstrated cross-functional collaboration skills across engineering, product, and business teams Desirable Expertise in Deep Learning, Generative AI and Reinforcement Learning Advanced knowledge of Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry Experience designing and analysing large-scale More ❯

a key client engagement, building predictive models that enhance water system management. Your work will play a critical role in predicting leaks and bursts, forecasting leak rates, and anticipating customer demand—delivering real-world value through advanced data science. You will have the opportunity to develop your technical skills … other client accounts & tasks. Some Key Responsibilities of the Role: Design and deploy predictive models for leak and burst detection in water networks. Perform time-series forecasting of customer demand and leak rates. Collaborate with engineers, analysts, and stakeholders to translate requirements into actionable data science solutions. … in Python for data analysis, modelling, and deployment. Advanced skills in SQL for data manipulation and querying. Strong understanding of machine learning, statistics, and time-series forecasting techniques. Proven ability to communicate complex findings to both technical and non-technical audiences. Familiarity with MLOps principles including deployment More ❯

a key client engagement, building predictive models that enhance water system management. Your work will play a critical role in predicting leaks and bursts, forecasting leak rates, and anticipating customer demand-delivering real-world value through advanced data science. You will have the opportunity to develop your technical skills … other client accounts & tasks. Some Key Responsibilities of the Role: Design and deploy predictive models for leak and burst detection in water networks. Perform time-series forecasting of customer demand and leak rates. Collaborate with engineers, analysts, and stakeholders to translate requirements into actionable data science solutions. … in Python for data analysis, modelling, and deployment. Advanced skills in SQL for data manipulation and querying. Strong understanding of machine learning, statistics, and time-series forecasting techniques. Proven ability to communicate complex findings to both technical and non-technical audiences. Familiarity with MLOps principles including deployment More ❯

the place for you. Key Responsibilities Work directly with clients, presenting your findings and insights to drive decision-making. Collaborate on clustering, regression, and time-series forecasting projects to optimize product promotions. Focus on building models to assess brand performance, helping clients understand which products to promote … roles, able to communicate data-driven insights and recommendations clearly. Proficient in SQL and Python for data analysis and modelling. Strong experience with clustering, time-series forecasting, and regression techniques. How to Apply Please register your interest by sending your CV to Emily Burgess via the Apply More ❯

and growing fast. What’s in it for you? 🎯 Huge ownership: Your code ships, your models go live, your ideas matter 🧠 Tough technical work: Time-series forecasting, optimisation, energy systems ⚡ Purpose: You’ll help reduce real-world emissions every day 🤝 Small, elite team where everyone wears multiple … Python, Streamlit, Docker, GCP, Figma What they’re looking for: Strong Python skills (you’ll ship production code, not just notebooks) Confidence working with time-series data & energy datasets Curiosity, drive, and the humility to build fast and learn faster Bonus: Experience with power trading, or comfortable speaking More ❯

and growing fast. What’s in it for you? 🎯 Huge ownership: Your code ships, your models go live, your ideas matter 🧠 Tough technical work: Time-series forecasting, optimisation, energy systems ⚡ Purpose: You’ll help reduce real-world emissions every day 🤝 Small, elite team where everyone wears multiple … Python, Streamlit, Docker, GCP, Figma What they’re looking for: Strong Python skills (you’ll ship production code, not just notebooks) Confidence working with time-series data & energy datasets Curiosity, drive, and the humility to build fast and learn faster Bonus: Experience with power trading, or comfortable speaking More ❯

Request”. Role: AI/ML and Data Science Developer Job Type: Permanent Location: Stevenage (Hybrid) Number of hours: 40 hours per week – full time Are you looking for an exciting opportunity as an AI/ML? Are you passionate about Data Science? We have an exciting role for … for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data More ❯

Request”. Role: AI/ML and Data Science Developer Job Type: Permanent Location: Stevenage (Hybrid) Number of hours: 40 hours per week – full time Are you looking for an exciting opportunity as an AI/ML? Are you passionate about Data Science? We have an exciting role for … for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data More ❯

you will be unable to work at home 100% of the time. If you are successfully offered this position, you will go through a series of pre-employmentchecks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check … to extract insights from large-scale structured and unstructured datasets. • Train, evaluate, and optimize AI/ML models using statistical techniques. • Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. • Stay updated on the latest advancements in data science technologies. • Lead and More ❯

to extract insights from large-scale structured and unstructured datasets. Train, evaluate, and optimize AI/ML models using statistical techniques. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in data science technologies. Lead and More ❯

models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering to extract deeper insights from multifaceted datasets. Design and execute A/B tests to optimize strategies and More ❯

work proud and eager to have a real positive influence on Mesh-AI, our customers, and your team. Nice to Have NLP, LLMs, GenAI, time series forecasting, image recognition or deep learning. PySpark, OpenCV, spaCy or DVC. Exposure to MLOps. Why Mesh-AI Fast-growing start-up More ❯

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 suggesting processes and technologies for anonymisation Work closely with Product leads in designing and validating success metrics as well as helping them to measure progress and align with the business objectives (OKRs setting) Support & mature the company data culture so that decisions are supported and More ❯

clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and … data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex More ❯

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 … 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 More ❯

best practices. Proficient in SQL (MySQL preferred). Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus. Familiarity with Docker, time series forecasting, or LLM technologies is advantageous. A background or exposure to finance is useful but not mandatory. Bachelor’s degree (or More ❯

Data Science and Machine Learning fundamentals A background in finance or exposure to financial data is advantageous but not required. Strong experience with clustering, time-series forecasting, and regression techniques. How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link More ❯